{ "meta": { "dossier": "ilo", "source": "ILO, ILOSTAT (LFS - Periodic Labour Force Survey)", "product": "ILOSTAT EAR: Average hourly earnings of care employees by sex; Average monthly earnings of care employees by sex; Average hourly earnings of employees by sex and age; Average hourly earnings of employees by sex and economic activity; Average hourly earnings of employees by sex and education; Average hourly earnings of employees by sex and rural / urban areas; Average hourly earnings of employees by ILO sector and sex; Average hourly earnings of employees by sex and marital status; Average hourly earnings of employees by sex; Average hourly earnings of employees by sex and occupation; Gini index of hourly earnings of employees by sex and age; Gini index of hourly earnings of employees by sex and economic activity; Gini index of hourly earnings of employees by sex and education; Gini index of hourly earnings of employees by sex and rural / urban areas; Gini index of hourly earnings of employees by sex and marital status; Gini index of hourly earnings of employees by sex; Gini index of hourly earnings of employees by sex and occupation; Median hourly earnings of employees by sex and age; Median hourly earnings of employees by sex and economic activity; Median hourly earnings of employees by sex and education; Median hourly earnings of employees by sex and rural / urban areas; Median hourly earnings of employees by sex and marital status; Median hourly earnings of employees by sex; Median hourly earnings of employees by sex and occupation; Average monthly earnings of employees by sex and age; Average monthly earnings of employees by sex and economic activity; Average monthly earnings of employees by sex and education; Average monthly earnings of employees by sex and rural / urban areas; Average monthly earnings of employees by ILO sector and sex; Average monthly earnings of employees by sex and marital status; Average monthly earnings of employees by sex; Average monthly earnings of employees by sex and occupation; Gini index of monthly earnings of employees by sex and age; Gini index of monthly earnings of employees by sex and economic activity; Gini index of monthly earnings of employees by sex and education; Gini index of monthly earnings of employees by sex and rural / urban areas; Gini index of monthly earnings of employees by sex and marital status; Gini index of monthly earnings of employees by sex; Gini index of monthly earnings of employees by sex and occupation; Median monthly earnings of employees by sex and age; Median monthly earnings of employees by sex and economic activity; Median monthly earnings of employees by sex and education; Median monthly earnings of employees by sex and rural / urban areas; Median monthly earnings of employees by sex and marital status; Median monthly earnings of employees by sex; Median monthly earnings of employees by sex and occupation; Gender wage gap by occupation; Average hourly earnings of STEM employees; Average monthly earnings of STEM employees; Female share of low pay earners; Low pay rate by sex", "base": "PLFS unit data, ILO processing", "instrument": "plfs", "frequency": "annual", "unit": "inr, gini, pct", "vintage": "2026-10-02", "geo": "IND", "latestPeriod": "2025", "releaseDate": null, "flows": [ "DF_EAR_CHRA_SEX_NB", "DF_EAR_CMTA_SEX_NB", "DF_EAR_EHRA_SEX_AGE_NB", "DF_EAR_EHRA_SEX_ECO_NB", "DF_EAR_EHRA_SEX_EDU_NB", "DF_EAR_EHRA_SEX_GEO_NB", "DF_EAR_EHRA_SEX_IND_NB", "DF_EAR_EHRA_SEX_MTS_NB", "DF_EAR_EHRA_SEX_NB", "DF_EAR_EHRA_SEX_OCU_NB", "DF_EAR_EHRG_SEX_AGE_NB", "DF_EAR_EHRG_SEX_ECO_NB", "DF_EAR_EHRG_SEX_EDU_NB", "DF_EAR_EHRG_SEX_GEO_NB", "DF_EAR_EHRG_SEX_MTS_NB", "DF_EAR_EHRG_SEX_NB", "DF_EAR_EHRG_SEX_OCU_NB", "DF_EAR_EHRM_SEX_AGE_NB", "DF_EAR_EHRM_SEX_ECO_NB", "DF_EAR_EHRM_SEX_EDU_NB", "DF_EAR_EHRM_SEX_GEO_NB", "DF_EAR_EHRM_SEX_MTS_NB", "DF_EAR_EHRM_SEX_NB", "DF_EAR_EHRM_SEX_OCU_NB", "DF_EAR_EMTA_SEX_AGE_NB", "DF_EAR_EMTA_SEX_ECO_NB", "DF_EAR_EMTA_SEX_EDU_NB", "DF_EAR_EMTA_SEX_GEO_NB", "DF_EAR_EMTA_SEX_IND_NB", "DF_EAR_EMTA_SEX_MTS_NB", "DF_EAR_EMTA_SEX_NB", "DF_EAR_EMTA_SEX_OCU_NB", "DF_EAR_EMTG_SEX_AGE_NB", "DF_EAR_EMTG_SEX_ECO_NB", "DF_EAR_EMTG_SEX_EDU_NB", "DF_EAR_EMTG_SEX_GEO_NB", "DF_EAR_EMTG_SEX_MTS_NB", "DF_EAR_EMTG_SEX_NB", "DF_EAR_EMTG_SEX_OCU_NB", "DF_EAR_EMTM_SEX_AGE_NB", "DF_EAR_EMTM_SEX_ECO_NB", "DF_EAR_EMTM_SEX_EDU_NB", "DF_EAR_EMTM_SEX_GEO_NB", "DF_EAR_EMTM_SEX_MTS_NB", "DF_EAR_EMTM_SEX_NB", "DF_EAR_EMTM_SEX_OCU_NB", "DF_EAR_GGAP_OCU_RT", "DF_EAR_SHRA_SEX_NB", "DF_EAR_SMTA_SEX_NB", "DF_EAR_XFLS_NOC_RT", "DF_EAR_XTLP_SEX_RT" ], "coverage": "Average hourly earnings of care employees by sex; Average monthly earnings of care employees by sex; Average hourly earnings of employees by sex and age; Average hourly earnings of employees by sex and economic activity; Average hourly earnings of employees by sex and education; Average hourly earnings of employees by sex and rural / urban areas; Average hourly earnings of employees by ILO sector and sex; Average hourly earnings of employees by sex and marital status; Average hourly earnings of employees by sex; Average hourly earnings of employees by sex and occupation; Gini index of hourly earnings of employees by sex and age; Gini index of hourly earnings of employees by sex and economic activity; Gini index of hourly earnings of employees by sex and education; Gini index of hourly earnings of employees by sex and rural / urban areas; Gini index of hourly earnings of employees by sex and marital status; Gini index of hourly earnings of employees by sex; Gini index of hourly earnings of employees by sex and occupation; Median hourly earnings of employees by sex and age; Median hourly earnings of employees by sex and economic activity; Median hourly earnings of employees by sex and education; Median hourly earnings of employees by sex and rural / urban areas; Median hourly earnings of employees by sex and marital status; Median hourly earnings of employees by sex; Median hourly earnings of employees by sex and occupation; Average monthly earnings of employees by sex and age; Average monthly earnings of employees by sex and economic activity; Average monthly earnings of employees by sex and education; Average monthly earnings of employees by sex and rural / urban areas; Average monthly earnings of employees by ILO sector and sex; Average monthly earnings of employees by sex and marital status; Average monthly earnings of employees by sex; Average monthly earnings of employees by sex and occupation; Gini index of monthly earnings of employees by sex and age; Gini index of monthly earnings of employees by sex and economic activity; Gini index of monthly earnings of employees by sex and education; Gini index of monthly earnings of employees by sex and rural / urban areas; Gini index of monthly earnings of employees by sex and marital status; Gini index of monthly earnings of employees by sex; Gini index of monthly earnings of employees by sex and occupation; Median monthly earnings of employees by sex and age; Median monthly earnings of employees by sex and economic activity; Median monthly earnings of employees by sex and education; Median monthly earnings of employees by sex and rural / urban areas; Median monthly earnings of employees by sex and marital status; Median monthly earnings of employees by sex; Median monthly earnings of employees by sex and occupation; Gender wage gap by occupation; Average hourly earnings of STEM employees; Average monthly earnings of STEM employees; Female share of low pay earners; Low pay rate by sex. LFS - Periodic Labour Force Survey, annual", "revisionPolicy": "Each ILOEST edition re-estimates the whole modelled history; the raw dump of the previous edition is archived under data/raw/vintages. Survey series change when the ILO reprocesses the unit data.", "note": "Computed by the ILO from PLFS unit-level data on calendar years (quarters from July 2017), current weekly status. Not MoSPI's published PLFS figures, which use July-June years and the usual status. Observations flagged U are ones the ILO itself marks unreliable.", "sourceNotes": [ "INR: Indian rupee (15206 obs.)" ] }, "dates": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "series": { "ear_chra_sex_nb__sex_t": { "name": "ear_chra_sex_nb__sex_t", "label": "Average hourly earnings of care employees: Total", "unit": "inr", "group": "Sex", "color": "#2E4BD8", "data": [ 76.701, 73.317, 85.361, 84.182, 86.146, 92.277, 93.828, 101.486 ] }, "ear_chra_sex_nb__sex_m": { "name": "ear_chra_sex_nb__sex_m", "label": "Average hourly earnings of care employees: Male", "unit": "inr", "group": "Sex", "color": "#C47A16", "data": [ 96.236, 91.057, 107.271, 109.137, 114.981, 121.192, 124.96, 134.915 ] }, "ear_chra_sex_nb__sex_f": { "name": "ear_chra_sex_nb__sex_f", "label": "Average hourly earnings of care employees: Female", "unit": "inr", "group": "Sex", "color": "#5F6675", "data": [ 57.445, 56.693, 65.042, 63.92, 63.873, 70.449, 70.495, 78.368 ] }, "ear_chra_sex_nb__sex_o": { "name": "ear_chra_sex_nb__sex_o", "label": "Average hourly earnings of care employees: Other", "unit": "inr", "group": "Sex", "color": "#878D99", "data": [ 24.282, null, null, null, null, null, null, null ], "withheld": [ "2019-01-01", "2021-01-01", "2024-01-01" ], "flags": { "U": [ "2018-01-01" ] } }, "ear_cmta_sex_nb__sex_t": { "name": "ear_cmta_sex_nb__sex_t", "label": "Average monthly earnings of care employees: Total", "unit": "inr", "group": "Sex", "color": "#2E4BD8", "data": [ 17363.465, 16611.281, 18957.798, 18647.573, 19290.571, 20607.635, 20752.306, 22297.748 ] }, "ear_cmta_sex_nb__sex_m": { "name": "ear_cmta_sex_nb__sex_m", "label": "Average monthly earnings of care employees: Male", "unit": "inr", "group": "Sex", "color": "#C47A16", "data": [ 22201.853, 21217.281, 24851.548, 24876.916, 26413.104, 27764.163, 28667.827, 30372.622 ] }, "ear_cmta_sex_nb__sex_f": { "name": "ear_cmta_sex_nb__sex_f", "label": "Average monthly earnings of care employees: Female", "unit": "inr", "group": "Sex", "color": "#5F6675", "data": [ 12588.19, 12297.439, 13491.902, 13589.29, 13788.916, 15205.384, 14819.831, 16713.253 ] }, "ear_cmta_sex_nb__sex_o": { "name": "ear_cmta_sex_nb__sex_o", "label": "Average monthly earnings of care employees: Other", "unit": "inr", "group": "Sex", "color": "#878D99", "data": [ 6892.875, null, null, null, null, null, null, null ], "withheld": [ "2019-01-01", "2021-01-01", "2024-01-01" ], "flags": { "U": [ "2018-01-01" ] } }, "ear_ehra_sex_age_nb__sex_t__age_ythadult_yge15": { "name": "ear_ehra_sex_age_nb__sex_t__age_ythadult_yge15", "label": "Average hourly earnings of employees: Total, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_age_nb__sex_t__age_ythadult_y15_24": { "name": "ear_ehra_sex_age_nb__sex_t__age_ythadult_y15_24", "label": "Average hourly earnings of employees: Total, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C47A16", "data": [ 36.804, 37.952, 39.138, 43.871, 45.779, 48.614, 52.038, 55.836 ] }, "ear_ehra_sex_age_nb__sex_t__age_ythadult_yge25": { "name": "ear_ehra_sex_age_nb__sex_t__age_ythadult_yge25", "label": "Average hourly earnings of employees: Total, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#5F6675", "data": [ 68.727, 69.35, 75.749, 77.354, 82.634, 87.09, 91.326, 97.44 ] }, "ear_ehra_sex_age_nb__sex_t__age_aggregate_yge15": { "name": "ear_ehra_sex_age_nb__sex_t__age_aggregate_yge15", "label": "Average hourly earnings of employees: Total, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#878D99", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_age_nb__sex_t__age_aggregate_y15_24": { "name": "ear_ehra_sex_age_nb__sex_t__age_aggregate_y15_24", "label": "Average hourly earnings of employees: Total, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#A3A9B4", "data": [ 36.804, 37.952, 39.138, 43.871, 45.779, 48.614, 52.038, 55.836 ] }, "ear_ehra_sex_age_nb__sex_t__age_aggregate_y25_54": { "name": "ear_ehra_sex_age_nb__sex_t__age_aggregate_y25_54", "label": "Average hourly earnings of employees: Total, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 67.474, 67.9, 74.43, 76.362, 81.571, 86.27, 90.426, 96.959 ] }, "ear_ehra_sex_age_nb__sex_t__age_aggregate_y55_64": { "name": "ear_ehra_sex_age_nb__sex_t__age_aggregate_y55_64", "label": "Average hourly earnings of employees: Total, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 87.364, 89.215, 94.316, 93.661, 100.851, 102.3, 108.344, 111.655 ] }, "ear_ehra_sex_age_nb__sex_t__age_aggregate_yge65": { "name": "ear_ehra_sex_age_nb__sex_t__age_aggregate_yge65", "label": "Average hourly earnings of employees: Total, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 33.833, 35.354, 45.871, 40.175, 41.558, 49.421, 48.584, 50.942 ] }, "ear_ehra_sex_age_nb__sex_m__age_ythadult_yge15": { "name": "ear_ehra_sex_age_nb__sex_m__age_ythadult_yge15", "label": "Average hourly earnings of employees: Male, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_age_nb__sex_m__age_ythadult_y15_24": { "name": "ear_ehra_sex_age_nb__sex_m__age_ythadult_y15_24", "label": "Average hourly earnings of employees: Male, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 36.667, 37.169, 38.309, 43.037, 44.384, 47.999, 51.923, 54.965 ] }, "ear_ehra_sex_age_nb__sex_m__age_ythadult_yge25": { "name": "ear_ehra_sex_age_nb__sex_m__age_ythadult_yge25", "label": "Average hourly earnings of employees: Male, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 73.111, 73.904, 80.852, 82.988, 88.433, 93.565, 98.109, 103.951 ] }, "ear_ehra_sex_age_nb__sex_m__age_aggregate_yge15": { "name": "ear_ehra_sex_age_nb__sex_m__age_aggregate_yge15", "label": "Average hourly earnings of employees: Male, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_age_nb__sex_m__age_aggregate_y15_24": { "name": "ear_ehra_sex_age_nb__sex_m__age_aggregate_y15_24", "label": "Average hourly earnings of employees: Male, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 36.667, 37.169, 38.309, 43.037, 44.384, 47.999, 51.923, 54.965 ] }, "ear_ehra_sex_age_nb__sex_m__age_aggregate_y25_54": { "name": "ear_ehra_sex_age_nb__sex_m__age_aggregate_y25_54", "label": "Average hourly earnings of employees: Male, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 71.162, 71.753, 78.824, 81.09, 86.637, 91.627, 96.257, 102.62 ] }, "ear_ehra_sex_age_nb__sex_m__age_aggregate_y55_64": { "name": "ear_ehra_sex_age_nb__sex_m__age_aggregate_y55_64", "label": "Average hourly earnings of employees: Male, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 97.883, 99.87, 105.694, 109.37, 113.545, 120.551, 125.131, 126.892 ] }, "ear_ehra_sex_age_nb__sex_m__age_aggregate_yge65": { "name": "ear_ehra_sex_age_nb__sex_m__age_aggregate_yge65", "label": "Average hourly earnings of employees: Male, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 39.741, 41.438, 53.64, 44.788, 48.459, 57.227, 54.821, 56.526 ] }, "ear_ehra_sex_age_nb__sex_f__age_ythadult_yge15": { "name": "ear_ehra_sex_age_nb__sex_f__age_ythadult_yge15", "label": "Average hourly earnings of employees: Female, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_age_nb__sex_f__age_ythadult_y15_24": { "name": "ear_ehra_sex_age_nb__sex_f__age_ythadult_y15_24", "label": "Average hourly earnings of employees: Female, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 37.425, 40.711, 42.506, 47.335, 51.196, 50.838, 52.483, 58.975 ] }, "ear_ehra_sex_age_nb__sex_f__age_ythadult_yge25": { "name": "ear_ehra_sex_age_nb__sex_f__age_ythadult_yge25", "label": "Average hourly earnings of employees: Female, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 54.53, 56.071, 60.784, 61.292, 65.802, 70.119, 73.326, 80.292 ] }, "ear_ehra_sex_age_nb__sex_f__age_aggregate_yge15": { "name": "ear_ehra_sex_age_nb__sex_f__age_aggregate_yge15", "label": "Average hourly earnings of employees: Female, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_age_nb__sex_f__age_aggregate_y15_24": { "name": "ear_ehra_sex_age_nb__sex_f__age_aggregate_y15_24", "label": "Average hourly earnings of employees: Female, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 37.425, 40.711, 42.506, 47.335, 51.196, 50.838, 52.483, 58.975 ] }, "ear_ehra_sex_age_nb__sex_f__age_aggregate_y25_54": { "name": "ear_ehra_sex_age_nb__sex_f__age_aggregate_y25_54", "label": "Average hourly earnings of employees: Female, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 55.525, 56.519, 61.451, 62.533, 66.589, 71.855, 74.592, 81.741 ] }, "ear_ehra_sex_age_nb__sex_f__age_aggregate_y55_64": { "name": "ear_ehra_sex_age_nb__sex_f__age_aggregate_y55_64", "label": "Average hourly earnings of employees: Female, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 51.541, 58.772, 60.959, 55.811, 66.974, 61.662, 69.909, 76.679 ] }, "ear_ehra_sex_age_nb__sex_f__age_aggregate_yge65": { "name": "ear_ehra_sex_age_nb__sex_f__age_aggregate_yge65", "label": "Average hourly earnings of employees: Female, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 20.208, 25.026, 30.483, 32.397, 29.796, 37.496, 37.399, 39.729 ] }, "ear_ehra_sex_age_nb__sex_o__age_ythadult_yge15": { "name": "ear_ehra_sex_age_nb__sex_o__age_ythadult_yge15", "label": "Average hourly earnings of employees: Other, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_age_nb__sex_o__age_ythadult_yge25": { "name": "ear_ehra_sex_age_nb__sex_o__age_ythadult_yge25", "label": "Average hourly earnings of employees: Other, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ null, 179.366, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_age_nb__sex_o__age_aggregate_yge15": { "name": "ear_ehra_sex_age_nb__sex_o__age_aggregate_yge15", "label": "Average hourly earnings of employees: Other, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_age_nb__sex_o__age_aggregate_y25_54": { "name": "ear_ehra_sex_age_nb__sex_o__age_aggregate_y25_54", "label": "Average hourly earnings of employees: Other, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ null, 179.366, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_t__eco_sector_total": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_sector_total", "label": "Average hourly earnings of employees: Total, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_sector_agr": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_sector_agr", "label": "Average hourly earnings of employees: Total, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C47A16", "data": [ 30.339, 34.917, 31.903, 38.546, 42.318, 39.117, 42.153, 51.622 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_sector_nag": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_sector_nag", "label": "Average hourly earnings of employees: Total, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#5F6675", "data": [ 65.029, 65.189, 71.548, 73.573, 78.151, 82.946, 86.661, 92.711 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_sector_ind": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_sector_ind", "label": "Average hourly earnings of employees: Total, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#878D99", "data": [ 52.019, 53.534, 57.765, 59.151, 61.43, 65.161, 70.405, 77.194 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_sector_ser": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_sector_ser", "label": "Average hourly earnings of employees: Total, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#A3A9B4", "data": [ 70.729, 70.413, 78.087, 80.409, 85.771, 91.602, 94.121, 99.609 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_total": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_total", "label": "Average hourly earnings of employees: Total, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_agr": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_agr", "label": "Average hourly earnings of employees: Total, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 30.339, 34.917, 31.903, 38.546, 42.318, 39.117, 42.153, 51.622 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_man": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_man", "label": "Average hourly earnings of employees: Total, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 49.368, 53.069, 57.431, 57.161, 59.549, 63.402, 68.546, 73.767 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_con": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_con", "label": "Average hourly earnings of employees: Total, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.585, 39.918, 44.111, 51.345, 53.345, 56.009, 63.644, 72.493 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_mel": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_mel", "label": "Average hourly earnings of employees: Total, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 91.043, 92.408, 93.519, 95.148, 92.388, 100.925, 104.253, 114.712 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_mkt": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_mkt", "label": "Average hourly earnings of employees: Total, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 63.156, 64.394, 70.015, 75.078, 81.342, 87.387, 89.093, 94.603 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_pub": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_aggregate_pub", "label": "Average hourly earnings of employees: Total, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 78.906, 77.347, 87.023, 86.576, 91.042, 96.519, 100.271, 105.826 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_total": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_total", "label": "Average hourly earnings of employees: Total, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_a": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_a", "label": "Average hourly earnings of employees: Total, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 30.339, 34.917, 31.903, 38.546, 42.318, 39.117, 42.153, 51.622 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_b": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_b", "label": "Average hourly earnings of employees: Total, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 103.773, 107.984, 106.076, 114.572, 96.757, 130.261, 129.219, 121.261 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_c": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_c", "label": "Average hourly earnings of employees: Total, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 49.368, 53.069, 57.431, 57.161, 59.549, 63.402, 68.546, 73.767 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_d": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_d", "label": "Average hourly earnings of employees: Total, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 96.629, 103.648, 98.382, 98.091, 106.132, 94.536, 111.316, 129.827 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_e": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_e", "label": "Average hourly earnings of employees: Total, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 65.215, 59.34, 73.736, 73.376, 68.439, 81.648, 71.856, 84.269 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_f": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_f", "label": "Average hourly earnings of employees: Total, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.585, 39.918, 44.111, 51.345, 53.345, 56.009, 63.644, 72.493 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_g": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_g", "label": "Average hourly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 38.961, 41.606, 42.56, 45.137, 48.374, 53.554, 53.947, 57.508 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_h": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_h", "label": "Average hourly earnings of employees: Total, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 55.282, 58.959, 63.416, 65.247, 70.448, 72.852, 79.405, 84.073 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_i": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_i", "label": "Average hourly earnings of employees: Total, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 39.446, 42.55, 43.16, 45.815, 47.45, 49.855, 55.893, 60.053 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_j": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_j", "label": "Average hourly earnings of employees: Total, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 112.059, 116.462, 132.632, 137.777, 161.933, 173.035, 180.833, 186.456 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_k": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_k", "label": "Average hourly earnings of employees: Total, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 99.244, 101.177, 104.431, 110.003, 116.317, 122.343, 123.852, 136.151 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_l": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_l", "label": "Average hourly earnings of employees: Total, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 71.366, 73.707, 65.209, 58.965, 68.893, 92.531, 82.905, 101.269 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_m": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_m", "label": "Average hourly earnings of employees: Total, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 98.904, 98.301, 114.371, 115.984, 116.526, 117.724, 127.21, 142.71 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_n": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_n", "label": "Average hourly earnings of employees: Total, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 59.38, 61.823, 62.469, 66.966, 71.239, 71.855, 80.983, 78.032 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_o": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_o", "label": "Average hourly earnings of employees: Total, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 98.914, 105.415, 102.013, 108.135, 120.526, 125.875, 137.812, 143.134 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_p": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_p", "label": "Average hourly earnings of employees: Total, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 92.719, 89.524, 111.098, 111.841, 115.021, 119.571, 126.842, 133.046 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_q": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_q", "label": "Average hourly earnings of employees: Total, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 73.767, 70.398, 82.926, 75.769, 72.82, 89.465, 83.695, 92.776 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_r": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_r", "label": "Average hourly earnings of employees: Total, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 59.455, 72.063, 54.111, 64.086, 57.424, 71.854, 80.908, 96.078 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_s": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_s", "label": "Average hourly earnings of employees: Total, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 35.98, 38.079, 38.464, 40.959, 42.007, 45.345, 52.885, 52.48 ] }, "ear_ehra_sex_eco_nb__sex_t__eco_isic4_t": { "name": "ear_ehra_sex_eco_nb__sex_t__eco_isic4_t", "label": "Average hourly earnings of employees: Total, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 28.916, 31.141, 29.987, 32.238, 33.272, 37.632, 39.068, 43.288 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_sector_total": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_sector_total", "label": "Average hourly earnings of employees: Male, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_sector_agr": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_sector_agr", "label": "Average hourly earnings of employees: Male, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 33.791, 41.497, 37.889, 44.533, 48.799, 45.289, 47.938, 59.186 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_sector_nag": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_sector_nag", "label": "Average hourly earnings of employees: Male, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 68.447, 68.608, 75.321, 77.653, 82.321, 87.693, 91.715, 97.544 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_sector_ind": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_sector_ind", "label": "Average hourly earnings of employees: Male, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 55.474, 57.947, 62.421, 63.663, 64.955, 70.41, 75.658, 81.53 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_sector_ser": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_sector_ser", "label": "Average hourly earnings of employees: Male, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 75.025, 73.926, 82.133, 85.268, 91.604, 97.292, 100.279, 106.222 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_total": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_total", "label": "Average hourly earnings of employees: Male, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_agr": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_agr", "label": "Average hourly earnings of employees: Male, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 33.791, 41.497, 37.889, 44.533, 48.799, 45.289, 47.938, 59.186 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_man": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_man", "label": "Average hourly earnings of employees: Male, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 51.302, 55.2, 59.907, 59.3, 61.484, 66.035, 72.013, 77.079 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_con": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_con", "label": "Average hourly earnings of employees: Male, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 49.998, 49.241, 53.159, 64.146, 63.746, 70.752, 77.755, 82.471 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_mel": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_mel", "label": "Average hourly earnings of employees: Male, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 92.59, 96.009, 93.202, 97.531, 93.04, 104.183, 104.526, 115.327 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_mkt": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_mkt", "label": "Average hourly earnings of employees: Male, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 62.767, 63.266, 68.805, 74.193, 80.094, 85.82, 88.022, 93.653 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_pub": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_aggregate_pub", "label": "Average hourly earnings of employees: Male, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 95.762, 93.388, 105.201, 106.084, 113.793, 119.089, 124.876, 132.228 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_total": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_total", "label": "Average hourly earnings of employees: Male, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_a": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_a", "label": "Average hourly earnings of employees: Male, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 33.791, 41.497, 37.889, 44.533, 48.799, 45.289, 47.938, 59.186 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_b": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_b", "label": "Average hourly earnings of employees: Male, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 103.004, 109.685, 103.214, 115.901, 94.866, 131.908, 130.561, 121.707 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_c": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_c", "label": "Average hourly earnings of employees: Male, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 51.302, 55.2, 59.907, 59.3, 61.484, 66.035, 72.013, 77.079 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_d": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_d", "label": "Average hourly earnings of employees: Male, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 96.405, 105.136, 97.703, 97.61, 105.911, 95.003, 107.618, 128.088 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_e": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_e", "label": "Average hourly earnings of employees: Male, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 70.643, 62.564, 75.222, 78.141, 71.213, 90.081, 74.267, 86.179 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_f": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_f", "label": "Average hourly earnings of employees: Male, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 49.998, 49.241, 53.159, 64.146, 63.746, 70.752, 77.755, 82.471 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_g": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_g", "label": "Average hourly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 39.275, 42.301, 42.993, 45.783, 48.797, 54.661, 55.4, 58.934 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_h": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_h", "label": "Average hourly earnings of employees: Male, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 54.381, 58.593, 62.639, 64.67, 69.973, 71.218, 78.032, 83.121 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_i": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_i", "label": "Average hourly earnings of employees: Male, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 40.564, 44.774, 44.351, 46.886, 49.27, 51.693, 57.468, 62.293 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_j": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_j", "label": "Average hourly earnings of employees: Male, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 116.719, 118.518, 135.401, 141.265, 168.167, 176.875, 186.139, 193.358 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_k": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_k", "label": "Average hourly earnings of employees: Male, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 98.847, 101.312, 105.599, 111.819, 117.418, 125.277, 124.597, 139.073 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_l": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_l", "label": "Average hourly earnings of employees: Male, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 71.918, 80.94, 67.366, 61.959, 70.826, 95.042, 79.857, 92.784 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_m": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_m", "label": "Average hourly earnings of employees: Male, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 103.739, 97.45, 116.955, 117.631, 116.074, 121.865, 132.931, 142.234 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_n": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_n", "label": "Average hourly earnings of employees: Male, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 59.781, 60.811, 62.66, 66.319, 72.453, 71.69, 84.064, 78.584 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_o": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_o", "label": "Average hourly earnings of employees: Male, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 103.909, 110.081, 109.109, 114.952, 127.844, 134.42, 144.07, 151.191 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_p": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_p", "label": "Average hourly earnings of employees: Male, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 112.271, 109.484, 133.544, 136.597, 143.137, 144.376, 154.526, 165.53 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_q": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_q", "label": "Average hourly earnings of employees: Male, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 87, 80.22, 102.745, 91.985, 87.871, 114.553, 100.637, 115.532 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_r": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_r", "label": "Average hourly earnings of employees: Male, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 59.904, 69.257, 52.625, 64.627, 59.752, 74.935, 84.454, 101.037 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_s": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_s", "label": "Average hourly earnings of employees: Male, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 44.744, 43.152, 43.88, 45.651, 47.47, 49.743, 56.559, 58.426 ] }, "ear_ehra_sex_eco_nb__sex_m__eco_isic4_t": { "name": "ear_ehra_sex_eco_nb__sex_m__eco_isic4_t", "label": "Average hourly earnings of employees: Male, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 37.413, 37.69, 36.161, 40.497, 40.763, 46.489, 47.771, 55.142 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_sector_total": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_sector_total", "label": "Average hourly earnings of employees: Female, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_sector_agr": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_sector_agr", "label": "Average hourly earnings of employees: Female, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21.766, 22.14, 18.444, 28.867, 32.404, 31.676, 34.298, 39.064 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_sector_nag": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_sector_nag", "label": "Average hourly earnings of employees: Female, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 53.461, 54.837, 59.918, 61.112, 65.307, 69.648, 72.314, 79.275 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_sector_ind": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_sector_ind", "label": "Average hourly earnings of employees: Female, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 31.945, 35.094, 37.8, 37.761, 42.953, 43.662, 46.839, 54.44 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_sector_ser": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_sector_ser", "label": "Average hourly earnings of employees: Female, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 58.73, 61.057, 67.228, 67.978, 71.057, 78.044, 79.504, 84.958 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_total": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_total", "label": "Average hourly earnings of employees: Female, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_agr": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_agr", "label": "Average hourly earnings of employees: Female, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21.766, 22.14, 18.444, 28.867, 32.404, 31.676, 34.298, 39.064 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_man": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_man", "label": "Average hourly earnings of employees: Female, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.028, 39.754, 40.724, 40.833, 44.694, 46.803, 45.306, 53.031 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_con": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_con", "label": "Average hourly earnings of employees: Female, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.341, 26.615, 31.599, 32.272, 37.199, 38.791, 43.83, 50.058 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_mel": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_mel", "label": "Average hourly earnings of employees: Female, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 71.342, 64.381, 98.507, 69.018, 83.572, 63.541, 101.497, 107.397 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_mkt": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_mkt", "label": "Average hourly earnings of employees: Female, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 66.389, 72.324, 78.799, 81.253, 89.538, 96.783, 95.335, 99.558 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_pub": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_aggregate_pub", "label": "Average hourly earnings of employees: Female, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 56.661, 57.438, 63.684, 63.82, 64.795, 71.452, 73.593, 79.071 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_total": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_total", "label": "Average hourly earnings of employees: Female, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_a": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_a", "label": "Average hourly earnings of employees: Female, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21.766, 22.14, 18.444, 28.867, 32.404, 31.676, 34.298, 39.064 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_b": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_b", "label": "Average hourly earnings of employees: Female, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 118.97, 86.977, 186.803, 82.592, 173.117, 95.793, 99.517, 110.406 ], "flags": { "U": [ "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_c": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_c", "label": "Average hourly earnings of employees: Female, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.028, 39.754, 40.724, 40.833, 44.694, 46.803, 45.306, 53.031 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_d": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_d", "label": "Average hourly earnings of employees: Female, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 100.632, 82.966, 110.876, 108.422, 109.472, 85.033, 154.772, 157.313 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_e": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_e", "label": "Average hourly earnings of employees: Female, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 31.012, 48.264, 59.904, 51.844, 47.594, 44.032, 58.034, 72.694 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_f": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_f", "label": "Average hourly earnings of employees: Female, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.341, 26.615, 31.599, 32.272, 37.199, 38.791, 43.83, 50.058 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_g": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_g", "label": "Average hourly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 35.898, 36.026, 38.5, 40.027, 44.603, 45.472, 43.144, 48.421 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_h": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_h", "label": "Average hourly earnings of employees: Female, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 85.77, 76.296, 84.564, 81.466, 86.659, 117.646, 111.014, 105.893 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_i": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_i", "label": "Average hourly earnings of employees: Female, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 33.364, 30.081, 34.907, 37.86, 37.748, 38.434, 47.973, 50.348 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_j": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_j", "label": "Average hourly earnings of employees: Female, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 90.567, 109.495, 123.579, 126.065, 141.73, 161.246, 164.931, 167.641 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_k": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_k", "label": "Average hourly earnings of employees: Female, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 101.268, 100.798, 98.871, 100.503, 111.517, 111.311, 120.876, 125.481 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_l": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_l", "label": "Average hourly earnings of employees: Female, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 66.304, 42.965, 55.618, 38.875, 55.206, 77.106, 101.23, 151.635 ], "flags": { "U": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_m": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_m", "label": "Average hourly earnings of employees: Female, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 76.755, 102.041, 105.768, 108.662, 117.837, 105.846, 112.323, 144.225 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_n": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_n", "label": "Average hourly earnings of employees: Female, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 56.852, 68.489, 61.45, 70.231, 65.997, 72.782, 67.127, 76.06 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_o": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_o", "label": "Average hourly earnings of employees: Female, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 72.964, 84.602, 71.65, 78.214, 88.757, 92.027, 114.276, 110.898 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_p": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_p", "label": "Average hourly earnings of employees: Female, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 70.231, 69.357, 87.983, 86.644, 85.652, 94.76, 97.662, 103.937 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_q": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_q", "label": "Average hourly earnings of employees: Female, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 62.556, 59.63, 62.872, 63.902, 63.138, 72.068, 71.039, 78.492 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_r": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_r", "label": "Average hourly earnings of employees: Female, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 57.043, 86.164, 62.966, 59.607, 41.834, 57.833, 66.494, 65.738 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_s": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_s", "label": "Average hourly earnings of employees: Female, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.999, 29.488, 29.508, 30.99, 31.554, 36.122, 46.454, 42.819 ] }, "ear_ehra_sex_eco_nb__sex_f__eco_isic4_t": { "name": "ear_ehra_sex_eco_nb__sex_f__eco_isic4_t", "label": "Average hourly earnings of employees: Female, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.846, 27.933, 27.768, 28.927, 30.185, 33.906, 35.931, 38.375 ] }, "ear_ehra_sex_eco_nb__sex_o__eco_sector_total": { "name": "ear_ehra_sex_eco_nb__sex_o__eco_sector_total", "label": "Average hourly earnings of employees: Other, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_o__eco_sector_nag": { "name": "ear_ehra_sex_eco_nb__sex_o__eco_sector_nag", "label": "Average hourly earnings of employees: Other, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_o__eco_sector_ser": { "name": "ear_ehra_sex_eco_nb__sex_o__eco_sector_ser", "label": "Average hourly earnings of employees: Other, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.282, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_o__eco_aggregate_total": { "name": "ear_ehra_sex_eco_nb__sex_o__eco_aggregate_total", "label": "Average hourly earnings of employees: Other, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_o__eco_aggregate_pub": { "name": "ear_ehra_sex_eco_nb__sex_o__eco_aggregate_pub", "label": "Average hourly earnings of employees: Other, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.282, 220.934, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_eco_nb__sex_o__eco_isic4_total": { "name": "ear_ehra_sex_eco_nb__sex_o__eco_isic4_total", "label": "Average hourly earnings of employees: Other, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_total": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_total", "label": "Average hourly earnings of employees: Total, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_ltb": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_ltb", "label": "Average hourly earnings of employees: Total, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C47A16", "data": [ 29.024, 31.892, 33.91, 35.045, 37.583, 38.916, 41.832, 44.133 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_bas": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_bas", "label": "Average hourly earnings of employees: Total, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#5F6675", "data": [ 41.846, 43.695, 46.151, 48.355, 49.105, 52.081, 55.616, 58.047 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_int": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_int", "label": "Average hourly earnings of employees: Total, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#878D99", "data": [ 64.539, 64.487, 67.816, 68.974, 70.348, 75.95, 77.409, 82.193 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_adv": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_adv", "label": "Average hourly earnings of employees: Total, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#A3A9B4", "data": [ 107.758, 106.403, 119.028, 119.55, 129.651, 136.418, 140.256, 150.442 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_x": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_aggregate_x", "label": "Average hourly earnings of employees: Total, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 45.508, null, null, null, null, null, null ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_total": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_total", "label": "Average hourly earnings of employees: Total, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_x": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_x", "label": "Average hourly earnings of employees: Total, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 28.008, 31.351, 32.896, 34.577, 36.812, 37.784, 40.997, 42.395 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_0": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_0", "label": "Average hourly earnings of employees: Total, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 32.274, 33.456, 36.549, 36.272, 39.544, 41.687, 44.351, 48.476 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_1": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_1", "label": "Average hourly earnings of employees: Total, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 33.512, 34.903, 39.574, 39.694, 41.025, 44.293, 48.792, 51.489 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_2": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_2", "label": "Average hourly earnings of employees: Total, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 44.14, 46.016, 47.966, 50.677, 51.374, 54.38, 57.633, 60.025 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_3": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_3", "label": "Average hourly earnings of employees: Total, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 60.165, 60.776, 62.822, 63.157, 64.808, 70.891, 70.522, 74.911 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_4": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_4", "label": "Average hourly earnings of employees: Total, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 78.342, 78.198, 84.518, 87.057, 89.002, 91.346, 98.074, 104.337 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_5": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_5", "label": "Average hourly earnings of employees: Total, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 97.809, 94.965, 105.495, 105.598, 116.256, 121.909, 127.841, 133.872 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_6": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_6", "label": "Average hourly earnings of employees: Total, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 128.826, 131.93, 148.559, 150.622, 162.405, 171.373, 171.928, 190.891 ] }, "ear_ehra_sex_edu_nb__sex_t__edu_isced97_unk": { "name": "ear_ehra_sex_edu_nb__sex_t__edu_isced97_unk", "label": "Average hourly earnings of employees: Total, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 45.508, null, null, null, null, null, null ] }, "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_total": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_total", "label": "Average hourly earnings of employees: Male, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_ltb": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_ltb", "label": "Average hourly earnings of employees: Male, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 33.953, 36.955, 39.088, 39.836, 43.481, 45.238, 48.094, 50.609 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_bas": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_bas", "label": "Average hourly earnings of employees: Male, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 44.3, 46.66, 48.877, 51.35, 52.225, 55.819, 59.409, 62.021 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_int": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_int", "label": "Average hourly earnings of employees: Male, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 66.738, 66.577, 69.336, 71.727, 72.91, 79.013, 80.611, 85.842 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_adv": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_adv", "label": "Average hourly earnings of employees: Male, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 112.193, 110.815, 122.875, 124.566, 136.093, 141.542, 145.535, 156.803 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_x": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_aggregate_x", "label": "Average hourly earnings of employees: Male, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 44.698, null, null, null, null, null, null ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_total": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_total", "label": "Average hourly earnings of employees: Male, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_x": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_x", "label": "Average hourly earnings of employees: Male, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 32.867, 36.743, 38.361, 39.996, 43.157, 43.829, 47.876, 49.245 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_0": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_0", "label": "Average hourly earnings of employees: Male, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 36.755, 37.387, 40.464, 39.532, 44.106, 47.931, 48.535, 53.376 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_1": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_1", "label": "Average hourly earnings of employees: Male, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 35.783, 38.027, 42.692, 42.809, 43.657, 48.112, 53.565, 55.542 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_2": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_2", "label": "Average hourly earnings of employees: Male, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 46.433, 48.721, 50.445, 53.366, 54.368, 57.77, 60.91, 63.736 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_3": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_3", "label": "Average hourly earnings of employees: Male, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 62.973, 63.126, 64.406, 65.955, 68.086, 74.688, 73.902, 79.147 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_4": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_4", "label": "Average hourly earnings of employees: Male, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 78.862, 79.216, 85.652, 89.759, 89.332, 92.084, 100.044, 106.188 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_5": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_5", "label": "Average hourly earnings of employees: Male, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 102.031, 100.449, 108.809, 110.415, 122.042, 126.947, 132.463, 139.763 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_6": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_6", "label": "Average hourly earnings of employees: Male, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 135.926, 137.255, 157.502, 159.709, 175.005, 181.417, 183.307, 204.212 ] }, "ear_ehra_sex_edu_nb__sex_m__edu_isced97_unk": { "name": "ear_ehra_sex_edu_nb__sex_m__edu_isced97_unk", "label": "Average hourly earnings of employees: Male, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 44.698, null, null, null, null, null, null ] }, "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_total": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_total", "label": "Average hourly earnings of employees: Female, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_ltb": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_ltb", "label": "Average hourly earnings of employees: Female, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 22.614, 26.169, 28.201, 30.078, 30.776, 32.65, 36.491, 37.668 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_bas": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_bas", "label": "Average hourly earnings of employees: Female, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 30.336, 31.147, 35.214, 36.097, 36.672, 39.529, 42.01, 44.007 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_int": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_int", "label": "Average hourly earnings of employees: Female, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 53.759, 54.838, 60.915, 56.736, 58.824, 62.009, 62.871, 66.7 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_adv": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_aggregate_adv", "label": "Average hourly earnings of employees: Female, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 94.215, 94.724, 107.226, 105.254, 111.87, 122.795, 125.708, 134.516 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_total": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_total", "label": "Average hourly earnings of employees: Female, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_x": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_x", "label": "Average hourly earnings of employees: Female, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 22.421, 26.381, 27.956, 29.947, 30.682, 32.633, 36.219, 36.352 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_0": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_0", "label": "Average hourly earnings of employees: Female, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 23.467, 25.178, 29.168, 30.588, 31.125, 32.706, 37.739, 41.796 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_1": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_1", "label": "Average hourly earnings of employees: Female, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 26.173, 25.728, 30.309, 31.447, 33.921, 36.067, 37.636, 41.869 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_2": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_2", "label": "Average hourly earnings of employees: Female, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 32.007, 33.229, 37.057, 38.045, 37.825, 41.121, 44.008, 44.974 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_3": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_3", "label": "Average hourly earnings of employees: Female, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 45.99, 50.074, 55.723, 50.638, 49.859, 53.766, 55.9, 56.946 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_4": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_4", "label": "Average hourly earnings of employees: Female, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 76.001, 73.178, 79.127, 75.268, 87.582, 87.889, 87.629, 96.455 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_5": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_5", "label": "Average hourly earnings of employees: Female, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 83.134, 78.375, 93.599, 89.934, 97.947, 106.563, 113.299, 117.02 ] }, "ear_ehra_sex_edu_nb__sex_f__edu_isced97_6": { "name": "ear_ehra_sex_edu_nb__sex_f__edu_isced97_6", "label": "Average hourly earnings of employees: Female, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 111.942, 121.24, 128.348, 130.765, 136.714, 151.542, 148.837, 166.136 ] }, "ear_ehra_sex_edu_nb__sex_o__edu_aggregate_total": { "name": "ear_ehra_sex_edu_nb__sex_o__edu_aggregate_total", "label": "Average hourly earnings of employees: Other, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_edu_nb__sex_o__edu_isced97_total": { "name": "ear_ehra_sex_edu_nb__sex_o__edu_isced97_total", "label": "Average hourly earnings of employees: Other, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_geo_nb__sex_t__geo_cov_nat": { "name": "ear_ehra_sex_geo_nb__sex_t__geo_cov_nat", "label": "Average hourly earnings of employees: Total, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_geo_nb__sex_t__geo_cov_rur": { "name": "ear_ehra_sex_geo_nb__sex_t__geo_cov_rur", "label": "Average hourly earnings of employees: Total, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C47A16", "data": [ 52.192, 51.309, 54.273, 59.165, 61.135, 65.322, 68.789, 72.988 ] }, "ear_ehra_sex_geo_nb__sex_t__geo_cov_urb": { "name": "ear_ehra_sex_geo_nb__sex_t__geo_cov_urb", "label": "Average hourly earnings of employees: Total, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#5F6675", "data": [ 72.766, 73.825, 82.927, 83.472, 90.686, 95.844, 99.39, 106.023 ] }, "ear_ehra_sex_geo_nb__sex_m__geo_cov_nat": { "name": "ear_ehra_sex_geo_nb__sex_m__geo_cov_nat", "label": "Average hourly earnings of employees: Male, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#878D99", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_geo_nb__sex_m__geo_cov_rur": { "name": "ear_ehra_sex_geo_nb__sex_m__geo_cov_rur", "label": "Average hourly earnings of employees: Male, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#A3A9B4", "data": [ 56.33, 55.898, 58.732, 64.547, 66.365, 70.856, 74.496, 78.274 ] }, "ear_ehra_sex_geo_nb__sex_m__geo_cov_urb": { "name": "ear_ehra_sex_geo_nb__sex_m__geo_cov_urb", "label": "Average hourly earnings of employees: Male, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 75.852, 76.419, 86.225, 86.618, 94.459, 100.258, 104.41, 111.084 ] }, "ear_ehra_sex_geo_nb__sex_f__geo_cov_nat": { "name": "ear_ehra_sex_geo_nb__sex_f__geo_cov_nat", "label": "Average hourly earnings of employees: Female, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_geo_nb__sex_f__geo_cov_rur": { "name": "ear_ehra_sex_geo_nb__sex_f__geo_cov_rur", "label": "Average hourly earnings of employees: Female, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 37.942, 38.419, 41.081, 43.969, 45.069, 50.753, 52.644, 58.014 ] }, "ear_ehra_sex_geo_nb__sex_f__geo_cov_urb": { "name": "ear_ehra_sex_geo_nb__sex_f__geo_cov_urb", "label": "Average hourly earnings of employees: Female, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 62.559, 65.647, 72.586, 73.591, 79.443, 83.4, 85.564, 92.484 ] }, "ear_ehra_sex_geo_nb__sex_o__geo_cov_nat": { "name": "ear_ehra_sex_geo_nb__sex_o__geo_cov_nat", "label": "Average hourly earnings of employees: Other, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_geo_nb__sex_o__geo_cov_urb": { "name": "ear_ehra_sex_geo_nb__sex_o__geo_cov_urb", "label": "Average hourly earnings of employees: Other, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ null, 226.285, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_total": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_total", "label": "Average hourly earnings of employees: Total, Total", "unit": "inr", "group": "Sex and ind", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_agriculture": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_agriculture", "label": "Average hourly earnings of employees: Total, Agriculture, plantations, other rural sectors", "unit": "inr", "group": "Sex and ind", "color": "#C47A16", "data": [ 27.013, 30.717, 28.087, 35.255, 38.003, 36.421, 39.476, 46.411 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_metal": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_metal", "label": "Average hourly earnings of employees: Total, Basic metal production", "unit": "inr", "group": "Sex and ind", "color": "#5F6675", "data": [ 57.407, 64.93, 56.817, 59.463, 63.095, 65.144, 69.421, 76.676 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_chemical": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_chemical", "label": "Average hourly earnings of employees: Total, Chemical industries", "unit": "inr", "group": "Sex and ind", "color": "#878D99", "data": [ 59.034, 59.724, 67.051, 66.114, 69.612, 74.647, 82.203, 83.758 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_commerce": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_commerce", "label": "Average hourly earnings of employees: Total, Commerce", "unit": "inr", "group": "Sex and ind", "color": "#A3A9B4", "data": [ 38.961, 41.606, 42.56, 45.137, 48.374, 53.554, 53.947, 57.508 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_construction": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_construction", "label": "Average hourly earnings of employees: Total, Construction", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 41.585, 39.918, 44.111, 51.345, 53.345, 56.009, 63.644, 72.493 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_education": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_education", "label": "Average hourly earnings of employees: Total, Education and research", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 92.952, 89.859, 111.852, 112.325, 115.508, 120.265, 127.111, 134.232 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_finance": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_finance", "label": "Average hourly earnings of employees: Total, Financial services, professional services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 84.195, 85.78, 90.845, 95.867, 98.878, 105.971, 110.177, 119.459 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_food": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_food", "label": "Average hourly earnings of employees: Total, Food, drink, tobacco", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 40.402, 42.62, 44.508, 46.186, 51.026, 53.434, 57.465, 64.198 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_wood": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_wood", "label": "Average hourly earnings of employees: Total, Forestry, wood, pulp and paper", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 44.218, 50.496, 44.834, 49.109, 57.562, 54.112, 59.035, 66.121 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_health": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_health", "label": "Average hourly earnings of employees: Total, Health services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 74.959, 71.327, 83.392, 76.639, 73.961, 90.001, 84.88, 93.737 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_tourism": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_tourism", "label": "Average hourly earnings of employees: Total, Hotels, catering, tourism", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 41.003, 46.136, 45.351, 47.617, 48.16, 51.161, 56.648, 61.106 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_engineering": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_engineering", "label": "Average hourly earnings of employees: Total, Mechanical and electrical engineering", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 57.833, 67.785, 78.558, 68.812, 76.536, 78.177, 77.61, 87.533 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_media": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_media", "label": "Average hourly earnings of employees: Total, Media, culture, graphical", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 105.305, 109.752, 124.835, 134.43, 154.751, 167.195, 174.044, 179.177 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_mining": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_mining", "label": "Average hourly earnings of employees: Total, Mining ~ coal, other mining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 94.724, 107.359, 105.733, 114.161, 93.966, 127.837, 129.368, 120.451 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_petrol": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_petrol", "label": "Average hourly earnings of employees: Total, Oil and gas production, oil refining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 191.289, 113.103, 110.338, 125.21, 173.67, 185.111, 124.542, 135.651 ], "flags": { "U": [ "2022-01-01" ] } }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_telecom": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_telecom", "label": "Average hourly earnings of employees: Total, Postal and telecommunications services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 84.188, 73.649, 87.946, 89.445, 91.57, 90.108, 92.518, 99.333 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_public": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_public", "label": "Average hourly earnings of employees: Total, Public service", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 98.914, 105.415, 102.013, 108.135, 120.526, 125.875, 137.812, 143.134 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_maritime": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_maritime", "label": "Average hourly earnings of employees: Total, Shipping, ports, fisheries, inland waterways", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 64.693, 78.28, 122.609, 124.699, 115.907, 116.517, 151.643, 150.313 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_textile": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_textile", "label": "Average hourly earnings of employees: Total, Textiles, clothing, leather, footwear", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 37.323, 38.715, 41.627, 43.816, 45.025, 50.791, 52.061, 57.064 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_transport": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_transport", "label": "Average hourly earnings of employees: Total, Transport (including civil aviation, road transport and railways)", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 53.66, 57.884, 61.425, 62.305, 68.065, 70.625, 77.545, 82.354 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_equipment": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_equipment", "label": "Average hourly earnings of employees: Total, Transport equipment manufacturing", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 65.739, 76.634, 78.057, 87.831, 84.556, 80.217, 103.566, 98.124 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_utilities": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_utilities", "label": "Average hourly earnings of employees: Total, Utilities ~ water, gas, electricity", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 84.497, 86.272, 89.904, 88.2, 90.859, 90.187, 95.918, 112.425 ] }, "ear_ehra_sex_ind_nb__sex_t__ind_sector_x": { "name": "ear_ehra_sex_ind_nb__sex_t__ind_sector_x", "label": "Average hourly earnings of employees: Total, Not elsewhere classified", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 41.753, 41.435, 43.765, 45.165, 46.922, 47.688, 51.998, 56.575 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_total": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_total", "label": "Average hourly earnings of employees: Male, Total", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_agriculture": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_agriculture", "label": "Average hourly earnings of employees: Male, Agriculture, plantations, other rural sectors", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 29.638, 35.765, 33.059, 40.104, 42.303, 41.204, 43.823, 52.235 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_metal": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_metal", "label": "Average hourly earnings of employees: Male, Basic metal production", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 58.318, 65.839, 57.571, 59.971, 63.038, 67.028, 71.256, 77.633 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_chemical": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_chemical", "label": "Average hourly earnings of employees: Male, Chemical industries", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 61.294, 61.913, 69.513, 68.112, 72.093, 77.876, 86.502, 88.136 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_commerce": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_commerce", "label": "Average hourly earnings of employees: Male, Commerce", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 39.275, 42.301, 42.993, 45.783, 48.797, 54.661, 55.4, 58.934 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_construction": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_construction", "label": "Average hourly earnings of employees: Male, Construction", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 49.998, 49.241, 53.159, 64.146, 63.746, 70.752, 77.755, 82.471 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_education": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_education", "label": "Average hourly earnings of employees: Male, Education and research", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 112.37, 109.677, 134.744, 137.168, 143.875, 145.511, 154.794, 166.665 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_finance": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_finance", "label": "Average hourly earnings of employees: Male, Financial services, professional services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 83.546, 83.484, 89.395, 95.226, 96.827, 105.611, 109.388, 118.298 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_food": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_food", "label": "Average hourly earnings of employees: Male, Food, drink, tobacco", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 42.851, 45.11, 48.48, 48.951, 53.847, 56.818, 61.362, 67.243 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_wood": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_wood", "label": "Average hourly earnings of employees: Male, Forestry, wood, pulp and paper", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 44.486, 49.758, 45.102, 49.798, 58.889, 54.701, 60.559, 67.349 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_health": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_health", "label": "Average hourly earnings of employees: Male, Health services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 88.637, 81.451, 103.023, 93.464, 89.369, 114.533, 102.389, 116.628 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_tourism": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_tourism", "label": "Average hourly earnings of employees: Male, Hotels, catering, tourism", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 41.91, 46.405, 46.421, 48.761, 49.675, 52.861, 58.086, 63.303 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_engineering": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_engineering", "label": "Average hourly earnings of employees: Male, Mechanical and electrical engineering", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 57.71, 68.312, 80.489, 70.181, 76.597, 80.29, 78.953, 87.989 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_media": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_media", "label": "Average hourly earnings of employees: Male, Media, culture, graphical", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 109.706, 110.256, 126.257, 137.097, 159.949, 169.933, 178.806, 184.117 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_mining": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_mining", "label": "Average hourly earnings of employees: Male, Mining ~ coal, other mining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 93.508, 108.984, 102.445, 115.448, 91.933, 129.721, 130.763, 120.683 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_petrol": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_petrol", "label": "Average hourly earnings of employees: Male, Oil and gas production, oil refining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 190.331, 115.078, 113.971, 128.538, 173.67, 181.075, 124.542, 140.103 ], "flags": { "U": [ "2022-01-01" ] } }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_telecom": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_telecom", "label": "Average hourly earnings of employees: Male, Postal and telecommunications services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 84.14, 72.659, 89.204, 90.112, 90.786, 90.226, 92.393, 99.811 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_public": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_public", "label": "Average hourly earnings of employees: Male, Public service", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 103.909, 110.081, 109.109, 114.952, 127.844, 134.42, 144.07, 151.191 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_maritime": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_maritime", "label": "Average hourly earnings of employees: Male, Shipping, ports, fisheries, inland waterways", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 70.467, 78.28, 122.597, 124.743, 107.46, 114.304, 133.402, 151.564 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_textile": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_textile", "label": "Average hourly earnings of employees: Male, Textiles, clothing, leather, footwear", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 39.895, 40.9, 43.652, 45.812, 46.767, 53.377, 54.816, 61.039 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_transport": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_transport", "label": "Average hourly earnings of employees: Male, Transport (including civil aviation, road transport and railways)", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 52.836, 57.51, 60.76, 61.914, 67.868, 69.16, 76.542, 81.519 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_equipment": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_equipment", "label": "Average hourly earnings of employees: Male, Transport equipment manufacturing", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 65.357, 77.533, 78.756, 89.202, 85.791, 81.45, 108.014, 101.2 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_utilities": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_utilities", "label": "Average hourly earnings of employees: Male, Utilities ~ water, gas, electricity", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 87.016, 90.286, 90.218, 90.528, 92.359, 93.508, 95.226, 112.973 ] }, "ear_ehra_sex_ind_nb__sex_m__ind_sector_x": { "name": "ear_ehra_sex_ind_nb__sex_m__ind_sector_x", "label": "Average hourly earnings of employees: Male, Not elsewhere classified", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 53.383, 51.168, 56.377, 56.026, 58.836, 58.036, 65.762, 69.82 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_total": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_total", "label": "Average hourly earnings of employees: Female, Total", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_agriculture": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_agriculture", "label": "Average hourly earnings of employees: Female, Agriculture, plantations, other rural sectors", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20.924, 21.887, 17.782, 27.811, 32.102, 31.057, 34.057, 37.46 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_metal": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_metal", "label": "Average hourly earnings of employees: Female, Basic metal production", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 39.517, 44.752, 43.237, 45.801, 65.018, 37.161, 44.602, 56.578 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_chemical": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_chemical", "label": "Average hourly earnings of employees: Female, Chemical industries", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 36.685, 44.706, 48.783, 47.655, 50.776, 58.075, 52.062, 58.133 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_commerce": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_commerce", "label": "Average hourly earnings of employees: Female, Commerce", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 35.898, 36.026, 38.5, 40.027, 44.603, 45.472, 43.144, 48.421 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_construction": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_construction", "label": "Average hourly earnings of employees: Female, Construction", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 24.341, 26.615, 31.599, 32.272, 37.199, 38.791, 43.83, 50.058 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_education": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_education", "label": "Average hourly earnings of employees: Female, Education and research", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 70.495, 69.755, 88.053, 86.734, 85.634, 94.796, 97.866, 105.044 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_finance": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_finance", "label": "Average hourly earnings of employees: Female, Financial services, professional services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 88.365, 96.047, 98.678, 99.859, 109.315, 107.614, 113.732, 124.876 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_food": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_food", "label": "Average hourly earnings of employees: Female, Food, drink, tobacco", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 25.509, 27.861, 27.259, 33.366, 34.398, 35.293, 39.421, 48.357 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_wood": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_wood", "label": "Average hourly earnings of employees: Female, Forestry, wood, pulp and paper", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 39.429, 59.588, 40.154, 40.094, 38.943, 43.1, 39.775, 52.399 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_health": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_health", "label": "Average hourly earnings of employees: Female, Health services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 62.829, 59.999, 62.967, 63.963, 63.867, 72.501, 71.505, 78.842 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_tourism": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_tourism", "label": "Average hourly earnings of employees: Female, Hotels, catering, tourism", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 36.108, 44.617, 38.067, 38.818, 40.168, 40.611, 49.414, 51.529 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_engineering": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_engineering", "label": "Average hourly earnings of employees: Female, Mechanical and electrical engineering", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 59.541, 64.212, 57.987, 55.87, 75.573, 58.631, 60.412, 83.075 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_media": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_media", "label": "Average hourly earnings of employees: Female, Media, culture, graphical", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 85.309, 107.905, 120.277, 125.341, 137.751, 158.505, 159.679, 164.918 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_mining": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_mining", "label": "Average hourly earnings of employees: Female, Mining ~ coal, other mining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 116.562, 89.003, 227.501, 80.938, 173.117, 88.675, 99.517, 114.735 ], "flags": { "U": [ "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_telecom": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_telecom", "label": "Average hourly earnings of employees: Female, Postal and telecommunications services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 84.552, 83.126, 77.721, 84.192, 98.532, 89.266, 93.764, 96.395 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_public": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_public", "label": "Average hourly earnings of employees: Female, Public service", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 72.964, 84.602, 71.65, 78.214, 88.757, 92.027, 114.276, 110.898 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_maritime": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_maritime", "label": "Average hourly earnings of employees: Female, Shipping, ports, fisheries, inland waterways", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 39.82, null, null, null, null, null, null, 119.897 ], "gaps": [ "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01" ], "gapsNote": "The ILO serves these cells blank (flagged, value withheld) or not at all.", "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01" ], "flags": { "U": [ "2018-01-01", "2025-01-01" ] } }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_textile": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_textile", "label": "Average hourly earnings of employees: Female, Textiles, clothing, leather, footwear", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 26.803, 30.959, 34.469, 36.285, 37.489, 41.95, 41.489, 44.777 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_transport": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_transport", "label": "Average hourly earnings of employees: Female, Transport (including civil aviation, road transport and railways)", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 94.309, 79.052, 84.759, 76.871, 77.654, 118.285, 105.396, 106.909 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_equipment": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_equipment", "label": "Average hourly earnings of employees: Female, Transport equipment manufacturing", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 72.654, 56.656, 69.752, 63.707, 67.474, 63.874, 57.856, 65.56 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_utilities": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_utilities", "label": "Average hourly earnings of employees: Female, Utilities ~ water, gas, electricity", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 57.536, 59.22, 85.558, 67.065, 74.613, 57.743, 101.768, 106.942 ] }, "ear_ehra_sex_ind_nb__sex_f__ind_sector_x": { "name": "ear_ehra_sex_ind_nb__sex_f__ind_sector_x", "label": "Average hourly earnings of employees: Female, Not elsewhere classified", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 28.231, 30.757, 31.684, 33.558, 34.395, 37.313, 39.994, 44.265 ] }, "ear_ehra_sex_ind_nb__sex_o__ind_sector_total": { "name": "ear_ehra_sex_ind_nb__sex_o__ind_sector_total", "label": "Average hourly earnings of employees: Other, Total", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_total": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_total", "label": "Average hourly earnings of employees: Total, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_1": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_1", "label": "Average hourly earnings of employees: Total, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C47A16", "data": [ 48.033, 48.815, 52.705, 56.714, 59.501, 63.501, 68.343, 72.712 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_2": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_2", "label": "Average hourly earnings of employees: Total, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#5F6675", "data": [ 70.3, 71.051, 77.809, 79.344, 84.828, 89.329, 93.421, 100.167 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_x": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_aggregate_x", "label": "Average hourly earnings of employees: Total, Not elsewhere classified (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#878D99", "data": [ null, 54.731, null, null, null, null, null, null ], "withheld": [ "2020-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_mts_nb__sex_t__mts_details_total": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_details_total", "label": "Average hourly earnings of employees: Total, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#A3A9B4", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_details_sgle": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_details_sgle", "label": "Average hourly earnings of employees: Total, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 48.906, 49.891, 53.654, 58.204, 61.401, 66.007, 71.085, 75.319 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_details_mrd": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_details_mrd", "label": "Average hourly earnings of employees: Total, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 70.3, 71.051, 77.809, 79.344, 84.828, 89.329, 93.421, 100.167 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_details_wid": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_details_wid", "label": "Average hourly earnings of employees: Total, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 43.63, 43.417, 47.949, 49.233, 49.744, 52.015, 55.42, 58.823 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_details_sep": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_details_sep", "label": "Average hourly earnings of employees: Total, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 45.842, 46.701, 52.646, 53.935, 55.714, 57.309, 63.018, 71.496 ] }, "ear_ehra_sex_mts_nb__sex_t__mts_details_x": { "name": "ear_ehra_sex_mts_nb__sex_t__mts_details_x", "label": "Average hourly earnings of employees: Total, Not elsewhere classified (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 54.731, null, null, null, null, null, null ], "withheld": [ "2020-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_mts_nb__sex_m__mts_aggregate_total": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_aggregate_total", "label": "Average hourly earnings of employees: Male, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_aggregate_1": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_aggregate_1", "label": "Average hourly earnings of employees: Male, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 49.39, 48.377, 52.78, 56.905, 59.547, 64.028, 69.649, 74.084 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_aggregate_2": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_aggregate_2", "label": "Average hourly earnings of employees: Male, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 73.89, 75.25, 82.451, 84.604, 90.254, 95.531, 99.654, 106.005 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_details_total": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_details_total", "label": "Average hourly earnings of employees: Male, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_details_sgle": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_details_sgle", "label": "Average hourly earnings of employees: Male, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 48.745, 47.819, 52.3, 56.447, 59.391, 64.013, 69.298, 73.875 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_details_mrd": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_details_mrd", "label": "Average hourly earnings of employees: Male, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 73.89, 75.25, 82.451, 84.604, 90.254, 95.531, 99.654, 106.005 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_details_wid": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_details_wid", "label": "Average hourly earnings of employees: Male, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 66.577, 57.507, 60.828, 68.786, 59.923, 66.515, 75.194, 78.201 ] }, "ear_ehra_sex_mts_nb__sex_m__mts_details_sep": { "name": "ear_ehra_sex_mts_nb__sex_m__mts_details_sep", "label": "Average hourly earnings of employees: Male, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 48.003, 59.429, 56.061, 60.41, 67.271, 60.992, 73.875, 75.664 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_aggregate_total": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_aggregate_total", "label": "Average hourly earnings of employees: Female, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_aggregate_1": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_aggregate_1", "label": "Average hourly earnings of employees: Female, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 44.665, 49.763, 52.525, 56.254, 59.388, 62.322, 65.42, 69.651 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_aggregate_2": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_aggregate_2", "label": "Average hourly earnings of employees: Female, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 56.637, 56.476, 61.976, 61.695, 66.604, 70.839, 74.127, 82.488 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_details_total": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_details_total", "label": "Average hourly earnings of employees: Female, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_details_sgle": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_details_sgle", "label": "Average hourly earnings of employees: Female, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 49.716, 57.622, 59.557, 65.835, 69.851, 74.081, 78.286, 80.98 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_details_mrd": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_details_mrd", "label": "Average hourly earnings of employees: Female, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 56.637, 56.476, 61.976, 61.695, 66.604, 70.839, 74.127, 82.488 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_details_wid": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_details_wid", "label": "Average hourly earnings of employees: Female, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 38.699, 40.152, 44.702, 45.959, 47.251, 48.97, 50.879, 54.715 ] }, "ear_ehra_sex_mts_nb__sex_f__mts_details_sep": { "name": "ear_ehra_sex_mts_nb__sex_f__mts_details_sep", "label": "Average hourly earnings of employees: Female, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 44.864, 40.677, 49.331, 48.712, 47.364, 54.279, 55.019, 68.157 ] }, "ear_ehra_sex_mts_nb__sex_o__mts_aggregate_total": { "name": "ear_ehra_sex_mts_nb__sex_o__mts_aggregate_total", "label": "Average hourly earnings of employees: Other, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_mts_nb__sex_o__mts_aggregate_2": { "name": "ear_ehra_sex_mts_nb__sex_o__mts_aggregate_2", "label": "Average hourly earnings of employees: Other, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 198.114, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_mts_nb__sex_o__mts_details_total": { "name": "ear_ehra_sex_mts_nb__sex_o__mts_details_total", "label": "Average hourly earnings of employees: Other, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_mts_nb__sex_o__mts_details_mrd": { "name": "ear_ehra_sex_mts_nb__sex_o__mts_details_mrd", "label": "Average hourly earnings of employees: Other, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 198.114, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehra_sex_nb__sex_t": { "name": "ear_ehra_sex_nb__sex_t", "label": "Average hourly earnings of employees: Total", "unit": "inr", "group": "Sex", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_nb__sex_m": { "name": "ear_ehra_sex_nb__sex_m", "label": "Average hourly earnings of employees: Male", "unit": "inr", "group": "Sex", "color": "#C47A16", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_nb__sex_f": { "name": "ear_ehra_sex_nb__sex_f", "label": "Average hourly earnings of employees: Female", "unit": "inr", "group": "Sex", "color": "#5F6675", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_nb__sex_o": { "name": "ear_ehra_sex_nb__sex_o", "label": "Average hourly earnings of employees: Other", "unit": "inr", "group": "Sex", "color": "#878D99", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_total": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_total", "label": "Average hourly earnings of employees: Total, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#2E4BD8", "data": [ 64.254, 64.647, 70.648, 72.611, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_l3_4": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_l3_4", "label": "Average hourly earnings of employees: Total, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C47A16", "data": [ 106.074, 106.919, 119.769, 119.69, 129.341, 137.426, 144.611, 155.236 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_l2": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_l2", "label": "Average hourly earnings of employees: Total, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#5F6675", "data": [ 49.353, 51.438, 55.775, 57.677, 59.196, 63.418, 67.304, 69.959 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_l1": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_l1", "label": "Average hourly earnings of employees: Total, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#878D99", "data": [ 33.484, 34.344, 36.942, 38.303, 40.557, 42.783, 46.366, 50.806 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_x": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_skill_x", "label": "Average hourly earnings of employees: Total, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#A3A9B4", "data": [ 39.794, 61.436, 88.999, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_total": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_total", "label": "Average hourly earnings of employees: Total, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 77.3, 81.808, 85.698, 91.719 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_1": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_1", "label": "Average hourly earnings of employees: Total, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 167.789, 175.998, 178.918, 201.025 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_2": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_2", "label": "Average hourly earnings of employees: Total, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 134.796, 145.672, 153.547, 164.339 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_3": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_3", "label": "Average hourly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 94.184, 96.181, 105.936, 107.833 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_4": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_4", "label": "Average hourly earnings of employees: Total, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 86.006, 92.148, 100.397, 99.727 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_5": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_5", "label": "Average hourly earnings of employees: Total, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 52.341, 56.657, 58.017, 61.285 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_6": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_6", "label": "Average hourly earnings of employees: Total, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 59.434, 46.079, 50.705, 55.506 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_7": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_7", "label": "Average hourly earnings of employees: Total, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 52.344, 58.051, 62.767, 66.718 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_8": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_8", "label": "Average hourly earnings of employees: Total, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 56.76, 59.054, 63.129, 67.238 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_9": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco08_9", "label": "Average hourly earnings of employees: Total, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 40.557, 42.783, 46.366, 50.806 ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_total": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_total", "label": "Average hourly earnings of employees: Total, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 64.254, 64.647, 70.648, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_1": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_1", "label": "Average hourly earnings of employees: Total, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 129.093, 139.336, 154.265, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_2": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_2", "label": "Average hourly earnings of employees: Total, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 117.409, 113.129, 129.424, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_3": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_3", "label": "Average hourly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 88.664, 89.557, 96.108, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_4": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_4", "label": "Average hourly earnings of employees: Total, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 76.558, 79.069, 82.188, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_5": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_5", "label": "Average hourly earnings of employees: Total, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 42.767, 44.464, 49.775, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_6": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_6", "label": "Average hourly earnings of employees: Total, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 40.019, 45.552, 50.374, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_7": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_7", "label": "Average hourly earnings of employees: Total, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 44.876, 47.125, 51.247, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_8": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_8", "label": "Average hourly earnings of employees: Total, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 45.865, 48.054, 52.047, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_9": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_9", "label": "Average hourly earnings of employees: Total, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 33.484, 34.344, 36.942, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_x": { "name": "ear_ehra_sex_ocu_nb__sex_t__ocu_isco88_x", "label": "Average hourly earnings of employees: Total, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 39.794, 61.436, 88.999, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_total": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_total", "label": "Average hourly earnings of employees: Male, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, 76.903, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_l3_4": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_l3_4", "label": "Average hourly earnings of employees: Male, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 116.718, 117.512, 131.638, 130.278, 142.422, 149.769, 155.719, 169.64 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_l2": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_l2", "label": "Average hourly earnings of employees: Male, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 51.476, 53.725, 57.872, 59.812, 61.282, 65.574, 69.777, 72.755 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_l1": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_l1", "label": "Average hourly earnings of employees: Male, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 37.964, 38.815, 41.565, 43.531, 46.168, 49.414, 53.35, 57.982 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_x": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_skill_x", "label": "Average hourly earnings of employees: Male, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 50.145, 65.054, 87.459, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_total": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_total", "label": "Average hourly earnings of employees: Male, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 81.681, 86.871, 90.974, 96.755 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_1": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_1", "label": "Average hourly earnings of employees: Male, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 164.539, 175.435, 180.774, 199.621 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_2": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_2", "label": "Average hourly earnings of employees: Male, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 152.189, 160.361, 165.492, 181.325 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_3": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_3", "label": "Average hourly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 105.608, 109.378, 118.146, 122.368 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_4": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_4", "label": "Average hourly earnings of employees: Male, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 89.324, 95.177, 104.478, 103.132 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_5": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_5", "label": "Average hourly earnings of employees: Male, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 56.225, 60.837, 62.514, 66.612 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_6": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_6", "label": "Average hourly earnings of employees: Male, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 66.476, 50.905, 55.342, 60.494 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_7": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_7", "label": "Average hourly earnings of employees: Male, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 53.962, 59.929, 64.44, 68.464 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_8": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_8", "label": "Average hourly earnings of employees: Male, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 57.344, 59.732, 63.854, 67.957 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_9": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco08_9", "label": "Average hourly earnings of employees: Male, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 46.168, 49.414, 53.35, 57.982 ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_total": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_total", "label": "Average hourly earnings of employees: Male, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 67.731, 68.18, 74.541, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_1": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_1", "label": "Average hourly earnings of employees: Male, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 130.257, 138.704, 157.588, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_2": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_2", "label": "Average hourly earnings of employees: Male, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 127.135, 120.598, 136.814, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_3": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_3", "label": "Average hourly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 100.603, 103.804, 110.126, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_4": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_4", "label": "Average hourly earnings of employees: Male, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 78.268, 80.874, 84.771, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_5": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_5", "label": "Average hourly earnings of employees: Male, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 47.132, 48.315, 53.398, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_6": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_6", "label": "Average hourly earnings of employees: Male, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 43.257, 48.756, 51.5, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_7": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_7", "label": "Average hourly earnings of employees: Male, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 47.094, 50.319, 53.496, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_8": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_8", "label": "Average hourly earnings of employees: Male, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 46.297, 48.708, 53.02, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_9": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_9", "label": "Average hourly earnings of employees: Male, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 37.964, 38.815, 41.565, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_x": { "name": "ear_ehra_sex_ocu_nb__sex_m__ocu_isco88_x", "label": "Average hourly earnings of employees: Male, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 50.145, 65.054, 87.459, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_total": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_total", "label": "Average hourly earnings of employees: Female, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, 59.759, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_l3_4": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_l3_4", "label": "Average hourly earnings of employees: Female, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 82.014, 85.461, 94.847, 96.173, 101.502, 111.701, 119.747, 126.745 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_l2": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_l2", "label": "Average hourly earnings of employees: Female, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 36.79, 39.624, 43.63, 45.551, 46.827, 51.475, 54.124, 55.751 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_l1": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_l1", "label": "Average hourly earnings of employees: Female, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25.327, 27.058, 29.97, 31.216, 33.074, 35.304, 38.573, 41.464 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_x": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_skill_x", "label": "Average hourly earnings of employees: Female, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25.571, 53.681, 97.63, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_total": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_total", "label": "Average hourly earnings of employees: Female, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 64.067, 67.98, 70.993, 77.908 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_1": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_1", "label": "Average hourly earnings of employees: Female, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 184.359, 179.291, 167.351, 208.909 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_2": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_2", "label": "Average hourly earnings of employees: Female, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 104.411, 120.953, 131.152, 136.814 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_3": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_3", "label": "Average hourly earnings of employees: Female, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 66.681, 65.247, 78.162, 79.301 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_4": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_4", "label": "Average hourly earnings of employees: Female, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 74.249, 81.968, 87.007, 88.935 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_5": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_5", "label": "Average hourly earnings of employees: Female, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 37.558, 41.436, 42.476, 44.723 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_6": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_6", "label": "Average hourly earnings of employees: Female, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 33.238, 33.181, 38.269, 40.969 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_7": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_7", "label": "Average hourly earnings of employees: Female, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 35.983, 39.777, 43.32, 47.185 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_8": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_8", "label": "Average hourly earnings of employees: Female, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 39.551, 42.599, 47.245, 50.207 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_9": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco08_9", "label": "Average hourly earnings of employees: Female, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 33.074, 35.304, 38.573, 41.464 ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_total": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_total", "label": "Average hourly earnings of employees: Female, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 52.572, 54.044, 58.741, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_1": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_1", "label": "Average hourly earnings of employees: Female, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 121.32, 142.572, 130.285, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_2": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_2", "label": "Average hourly earnings of employees: Female, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 94.909, 98.118, 113.426, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_3": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_3", "label": "Average hourly earnings of employees: Female, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 68.711, 67.308, 75.879, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_4": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_4", "label": "Average hourly earnings of employees: Female, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 69.127, 72.518, 72.179, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_5": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_5", "label": "Average hourly earnings of employees: Female, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28.665, 32.245, 36.162, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_6": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_6", "label": "Average hourly earnings of employees: Female, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 27.355, 31.226, 40.147, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_7": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_7", "label": "Average hourly earnings of employees: Female, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 26.631, 27.163, 34.605, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_8": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_8", "label": "Average hourly earnings of employees: Female, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 33.038, 32.138, 34.533, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_9": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_9", "label": "Average hourly earnings of employees: Female, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25.327, 27.058, 29.97, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_x": { "name": "ear_ehra_sex_ocu_nb__sex_f__ocu_isco88_x", "label": "Average hourly earnings of employees: Female, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25.571, 53.681, 97.63, null, null, null, null, null ] }, "ear_ehra_sex_ocu_nb__sex_o__ocu_skill_total": { "name": "ear_ehra_sex_ocu_nb__sex_o__ocu_skill_total", "label": "Average hourly earnings of employees: Other, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 24.185, 179.366, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehra_sex_ocu_nb__sex_o__ocu_skill_l3_4": { "name": "ear_ehra_sex_ocu_nb__sex_o__ocu_skill_l3_4", "label": "Average hourly earnings of employees: Other, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 37.75, null, null, null, null, null, null, null ], "withheld": [ "2019-01-01", 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"name": "ear_ehrg_sex_age_nb__sex_t__age_ythadult_yge15", "label": "Gini index of hourly earnings of employees: Total, 15+ (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#2E4BD8", "data": [ 0.444, 0.441, 0.447, 0.43, 0.436, 0.431, 0.422, 0.427 ] }, "ear_ehrg_sex_age_nb__sex_t__age_ythadult_y15_24": { "name": "ear_ehrg_sex_age_nb__sex_t__age_ythadult_y15_24", "label": "Gini index of hourly earnings of employees: Total, 15-24 (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C47A16", "data": [ 0.313, 0.303, 0.301, 0.315, 0.318, 0.309, 0.296, 0.3 ] }, "ear_ehrg_sex_age_nb__sex_t__age_ythadult_yge25": { "name": "ear_ehrg_sex_age_nb__sex_t__age_ythadult_yge25", "label": "Gini index of hourly earnings of employees: Total, 25+ (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#5F6675", "data": [ 0.445, 0.444, 0.447, 0.432, 0.436, 0.432, 0.424, 0.43 ] }, "ear_ehrg_sex_age_nb__sex_t__age_aggregate_yge15": { "name": "ear_ehrg_sex_age_nb__sex_t__age_aggregate_yge15", "label": "Gini index of hourly earnings of employees: Total, 15+ (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#878D99", "data": [ 0.444, 0.441, 0.447, 0.43, 0.436, 0.431, 0.422, 0.427 ] }, "ear_ehrg_sex_age_nb__sex_t__age_aggregate_y15_24": { "name": "ear_ehrg_sex_age_nb__sex_t__age_aggregate_y15_24", "label": "Gini index of hourly earnings of employees: Total, 15-24 (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#A3A9B4", "data": [ 0.313, 0.303, 0.301, 0.315, 0.318, 0.309, 0.296, 0.3 ] }, "ear_ehrg_sex_age_nb__sex_t__age_aggregate_y25_54": { "name": "ear_ehrg_sex_age_nb__sex_t__age_aggregate_y25_54", "label": "Gini index of hourly earnings of employees: Total, 25-54 (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.434, 0.43, 0.437, 0.421, 0.425, 0.42, 0.413, 0.418 ] }, "ear_ehrg_sex_age_nb__sex_t__age_aggregate_y55_64": { "name": 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"gini", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 0.444, 0.441, 0.447, 0.43, 0.436, 0.431, 0.422, 0.427 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_sector_agr": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_sector_agr", "label": "Gini index of hourly earnings of employees: Total, Agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C47A16", "data": [ 0.389, 0.403, 0.371, 0.359, 0.331, 0.303, 0.292, 0.342 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_sector_nag": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_sector_nag", "label": "Gini index of hourly earnings of employees: Total, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#5F6675", "data": [ 0.442, 0.44, 0.444, 0.429, 0.435, 0.429, 0.421, 0.426 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_sector_ind": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_sector_ind", "label": "Gini index of hourly earnings of employees: Total, Industry (broad 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Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.389, 0.403, 0.371, 0.359, 0.331, 0.303, 0.292, 0.342 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_b": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_b", "label": "Gini index of hourly earnings of employees: Total, B. Mining and quarrying (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.421, 0.441, 0.409, 0.398, 0.41, 0.381, 0.46, 0.417 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_c": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_c", "label": "Gini index of hourly earnings of employees: Total, C. Manufacturing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.356, 0.368, 0.37, 0.333, 0.328, 0.329, 0.324, 0.326 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_d": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_d", "label": "Gini index of hourly earnings of employees: Total, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.428, 0.454, 0.431, 0.401, 0.402, 0.38, 0.374, 0.418 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_e": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_e", "label": "Gini index of hourly earnings of employees: Total, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.397, 0.421, 0.402, 0.391, 0.372, 0.428, 0.367, 0.404 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_f": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_f", "label": "Gini index of hourly earnings of employees: Total, F. Construction (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.388, 0.345, 0.344, 0.376, 0.346, 0.334, 0.331, 0.339 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_g": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_g", "label": "Gini index of hourly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.308, 0.322, 0.312, 0.3, 0.293, 0.309, 0.281, 0.292 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_h": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_h", "label": "Gini index of hourly earnings of employees: Total, H. Transportation and storage (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.371, 0.369, 0.356, 0.35, 0.363, 0.344, 0.354, 0.348 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_i": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_i", "label": "Gini index of hourly earnings of employees: Total, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.296, 0.296, 0.319, 0.299, 0.274, 0.281, 0.281, 0.285 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_j": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_j", "label": "Gini index of hourly earnings of employees: Total, J. Information and communication (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.339, 0.369, 0.344, 0.321, 0.31, 0.324, 0.309, 0.352 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_k": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_k", "label": "Gini index of hourly earnings of employees: Total, K. Financial and insurance activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.355, 0.362, 0.375, 0.381, 0.374, 0.361, 0.35, 0.392 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_l": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_l", "label": "Gini index of hourly earnings of employees: Total, L. Real estate activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.372, 0.388, 0.301, 0.266, 0.32, 0.314, 0.286, 0.334 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_m": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_m", "label": "Gini index of hourly earnings of employees: Total, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.358, 0.402, 0.361, 0.384, 0.405, 0.399, 0.391, 0.393 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_n": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_n", "label": "Gini index of hourly earnings of employees: Total, N. Administrative and support service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.392, 0.407, 0.394, 0.379, 0.378, 0.359, 0.376, 0.365 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_o": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_o", "label": "Gini index of hourly earnings of employees: Total, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.371, 0.372, 0.407, 0.363, 0.397, 0.38, 0.364, 0.37 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_p": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_p", "label": "Gini index of hourly earnings of employees: Total, P. Education (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.445, 0.459, 0.443, 0.43, 0.454, 0.451, 0.45, 0.469 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_q": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_q", "label": "Gini index of hourly earnings of employees: Total, Q. Human health and social work activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.504, 0.456, 0.454, 0.439, 0.435, 0.47, 0.444, 0.459 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_r": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_r", "label": "Gini index of hourly earnings of employees: Total, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.346, 0.387, 0.312, 0.368, 0.338, 0.35, 0.34, 0.444 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_s": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_s", "label": "Gini index of hourly earnings of employees: Total, S. Other service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.35, 0.34, 0.353, 0.343, 0.345, 0.32, 0.332, 0.319 ] }, "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_t": { "name": "ear_ehrg_sex_eco_nb__sex_t__eco_isic4_t", "label": "Gini index of hourly earnings of employees: Total, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.333, 0.308, 0.294, 0.274, 0.273, 0.259, 0.256, 0.274 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_sector_total": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_sector_total", "label": "Gini index of hourly earnings of employees: Male, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.426, 0.424, 0.432, 0.418, 0.421, 0.413, 0.405, 0.41 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_sector_agr": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_sector_agr", "label": "Gini index of hourly earnings of employees: Male, Agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.383, 0.41, 0.36, 0.391, 0.384, 0.351, 0.332, 0.36 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_sector_nag": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_sector_nag", "label": "Gini index of hourly earnings of employees: Male, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.425, 0.423, 0.43, 0.417, 0.42, 0.412, 0.404, 0.409 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_sector_ind": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_sector_ind", "label": "Gini index of hourly earnings of employees: Male, Industry (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.384, 0.389, 0.386, 0.368, 0.346, 0.346, 0.339, 0.342 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_sector_ser": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_sector_ser", "label": "Gini index of hourly earnings of employees: Male, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.43, 0.43, 0.439, 0.426, 0.436, 0.427, 0.421, 0.43 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_total": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_total", "label": "Gini index of hourly earnings of employees: Male, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.426, 0.424, 0.432, 0.418, 0.421, 0.413, 0.405, 0.41 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_agr": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_agr", "label": "Gini index of hourly earnings of employees: Male, Agriculture (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.383, 0.41, 0.36, 0.391, 0.384, 0.351, 0.332, 0.36 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_man": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_man", "label": "Gini index of hourly earnings of employees: Male, Manufacturing (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.35, 0.365, 0.366, 0.333, 0.322, 0.324, 0.32, 0.32 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_con": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_con", "label": "Gini index of hourly earnings of employees: Male, Construction (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.387, 0.356, 0.356, 0.404, 0.352, 0.344, 0.341, 0.337 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_mel": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_mel", "label": "Gini index of hourly earnings of employees: Male, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.431, 0.459, 0.432, 0.411, 0.411, 0.399, 0.416, 0.421 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_mkt": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_mkt", "label": "Gini index of hourly earnings of employees: Male, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.412, 0.411, 0.417, 0.413, 0.419, 0.414, 0.404, 0.409 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_pub": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_aggregate_pub", "label": "Gini index of hourly earnings of employees: Male, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.413, 0.418, 0.424, 0.411, 0.428, 0.418, 0.416, 0.434 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_total": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_total", "label": "Gini index of hourly earnings of employees: Male, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.426, 0.424, 0.432, 0.418, 0.421, 0.413, 0.405, 0.41 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_a": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_a", "label": "Gini index of hourly earnings of employees: Male, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.383, 0.41, 0.36, 0.391, 0.384, 0.351, 0.332, 0.36 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_b": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_b", "label": "Gini index of hourly earnings of employees: Male, B. Mining and quarrying (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.419, 0.435, 0.407, 0.4, 0.406, 0.378, 0.461, 0.416 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_c": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_c", "label": "Gini index of hourly earnings of employees: Male, C. Manufacturing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.35, 0.365, 0.366, 0.333, 0.322, 0.324, 0.32, 0.32 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_d": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_d", "label": "Gini index of hourly earnings of employees: Male, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.43, 0.461, 0.432, 0.401, 0.4, 0.382, 0.379, 0.416 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_e": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_e", "label": "Gini index of hourly earnings of employees: Male, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.379, 0.395, 0.402, 0.381, 0.371, 0.418, 0.357, 0.399 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_f": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_f", "label": "Gini index of hourly earnings of employees: Male, F. Construction (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.387, 0.356, 0.356, 0.404, 0.352, 0.344, 0.341, 0.337 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_g": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_g", "label": "Gini index of hourly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.307, 0.323, 0.31, 0.298, 0.29, 0.308, 0.279, 0.288 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_h": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_h", "label": "Gini index of hourly earnings of employees: Male, H. Transportation and storage (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.368, 0.367, 0.353, 0.347, 0.361, 0.34, 0.348, 0.343 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_i": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_i", "label": "Gini index of hourly earnings of employees: Male, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.267, 0.283, 0.315, 0.295, 0.264, 0.278, 0.271, 0.269 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_j": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_j", "label": "Gini index of hourly earnings of employees: Male, J. Information and communication (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.342, 0.373, 0.348, 0.331, 0.307, 0.324, 0.316, 0.353 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_k": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_k", "label": "Gini index of hourly earnings of employees: Male, K. Financial and insurance activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.357, 0.364, 0.374, 0.382, 0.367, 0.353, 0.344, 0.384 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_l": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_l", "label": "Gini index of hourly earnings of employees: Male, L. Real estate activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.365, 0.365, 0.287, 0.259, 0.324, 0.304, 0.28, 0.28 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_m": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_m", "label": "Gini index of hourly earnings of employees: Male, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.352, 0.39, 0.359, 0.38, 0.405, 0.402, 0.387, 0.383 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_n": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_n", "label": "Gini index of hourly earnings of employees: Male, N. Administrative and support service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.385, 0.393, 0.398, 0.373, 0.368, 0.351, 0.379, 0.36 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_o": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_o", "label": "Gini index of hourly earnings of employees: Male, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.352, 0.356, 0.382, 0.341, 0.378, 0.354, 0.341, 0.352 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_p": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_p", "label": "Gini index of hourly earnings of employees: Male, P. Education (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.385, 0.394, 0.386, 0.369, 0.384, 0.391, 0.384, 0.414 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_q": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_q", "label": "Gini index of hourly earnings of employees: Male, Q. Human health and social work activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.463, 0.416, 0.412, 0.425, 0.417, 0.432, 0.436, 0.454 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_r": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_r", "label": "Gini index of hourly earnings of employees: Male, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.341, 0.38, 0.289, 0.371, 0.338, 0.361, 0.339, 0.456 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_s": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_s", "label": "Gini index of hourly earnings of employees: Male, S. Other service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.331, 0.336, 0.338, 0.335, 0.323, 0.298, 0.326, 0.316 ] }, "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_t": { "name": "ear_ehrg_sex_eco_nb__sex_m__eco_isic4_t", "label": "Gini index of hourly earnings of employees: Male, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.264, 0.251, 0.245, 0.238, 0.246, 0.227, 0.236, 0.252 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_sector_total": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_sector_total", "label": "Gini index of hourly earnings of employees: Female, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.493, 0.478, 0.481, 0.453, 0.468, 0.467, 0.455, 0.463 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_sector_agr": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_sector_agr", "label": "Gini index of hourly earnings of employees: Female, Agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.3, 0.246, 0.228, 0.22, 0.167, 0.191, 0.188, 0.255 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_sector_nag": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_sector_nag", "label": "Gini index of hourly earnings of employees: Female, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.491, 0.476, 0.477, 0.452, 0.47, 0.468, 0.456, 0.464 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_sector_ind": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_sector_ind", "label": "Gini index of hourly earnings of employees: Female, Industry (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.345, 0.331, 0.319, 0.258, 0.306, 0.279, 0.269, 0.311 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_sector_ser": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_sector_ser", "label": "Gini index of hourly earnings of employees: Female, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.495, 0.488, 0.487, 0.465, 0.482, 0.484, 0.473, 0.477 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_total": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_total", "label": "Gini index of hourly earnings of employees: Female, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.493, 0.478, 0.481, 0.453, 0.468, 0.467, 0.455, 0.463 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_agr": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_agr", "label": "Gini index of hourly earnings of employees: Female, Agriculture (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.3, 0.246, 0.228, 0.22, 0.167, 0.191, 0.188, 0.255 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_man": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_man", "label": "Gini index of hourly earnings of employees: Female, Manufacturing (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.338, 0.341, 0.337, 0.271, 0.32, 0.315, 0.268, 0.307 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_con": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_con", "label": "Gini index of hourly earnings of employees: Female, Construction (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.224, 0.216, 0.23, 0.177, 0.226, 0.205, 0.202, 0.243 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_mel": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_mel", "label": "Gini index of hourly earnings of employees: Female, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.477, 0.461, 0.391, 0.401, 0.413, 0.389, 0.407, 0.465 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_mkt": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_mkt", "label": "Gini index of hourly earnings of employees: Female, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.418, 0.448, 0.421, 0.417, 0.433, 0.436, 0.432, 0.454 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_pub": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_aggregate_pub", "label": "Gini index of hourly earnings of employees: Female, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.512, 0.497, 0.503, 0.476, 0.49, 0.494, 0.482, 0.482 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_total": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_total", "label": "Gini index of hourly earnings of employees: Female, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.493, 0.478, 0.481, 0.453, 0.468, 0.467, 0.455, 0.463 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_a": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_a", "label": "Gini index of hourly earnings of employees: Female, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.3, 0.246, 0.228, 0.22, 0.167, 0.191, 0.188, 0.255 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_b": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_b", "label": "Gini index of hourly earnings of employees: Female, B. Mining and quarrying (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.34, 0.332, 0.284, 0.141, 0.066, 0.393, 0.415, 0.42 ], "flags": { "U": [ "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_c": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_c", "label": "Gini index of hourly earnings of employees: Female, C. Manufacturing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.338, 0.341, 0.337, 0.271, 0.32, 0.315, 0.268, 0.307 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_d": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_d", "label": "Gini index of hourly earnings of employees: Female, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.319, 0.253, 0.354, 0.326, 0.377, 0.326, 0.238, 0.428 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_e": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_e", "label": "Gini index of hourly earnings of employees: Female, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.334, 0.431, 0.312, 0.346, 0.249, 0.307, 0.396, 0.425 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_f": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_f", "label": "Gini index of hourly earnings of employees: Female, F. Construction (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.224, 0.216, 0.23, 0.177, 0.226, 0.205, 0.202, 0.243 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_g": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_g", "label": "Gini index of hourly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.308, 0.304, 0.312, 0.305, 0.298, 0.3, 0.265, 0.291 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_h": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_h", "label": "Gini index of hourly earnings of employees: Female, H. Transportation and storage (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.317, 0.351, 0.344, 0.354, 0.338, 0.284, 0.401, 0.406 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_i": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_i", "label": "Gini index of hourly earnings of employees: Female, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.355, 0.302, 0.295, 0.286, 0.285, 0.264, 0.304, 0.333 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_j": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_j", "label": "Gini index of hourly earnings of employees: Female, J. Information and communication (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.294, 0.348, 0.315, 0.275, 0.297, 0.318, 0.275, 0.34 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_k": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_k", "label": "Gini index of hourly earnings of employees: Female, K. Financial and insurance activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.333, 0.324, 0.366, 0.361, 0.4, 0.389, 0.375, 0.418 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_l": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_l", "label": "Gini index of hourly earnings of employees: Female, L. Real estate activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.207, 0.257, 0.213, 0.175, 0.143, 0.345, 0.268, 0.482 ], "flags": { "U": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_m": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_m", "label": "Gini index of hourly earnings of employees: Female, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.357, 0.409, 0.338, 0.367, 0.386, 0.376, 0.394, 0.422 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_n": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_n", "label": "Gini index of hourly earnings of employees: Female, N. Administrative and support service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.421, 0.446, 0.354, 0.395, 0.388, 0.39, 0.342, 0.383 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_o": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_o", "label": "Gini index of hourly earnings of employees: Female, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.436, 0.424, 0.483, 0.425, 0.452, 0.46, 0.442, 0.423 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_p": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_p", "label": "Gini index of hourly earnings of employees: Female, P. Education (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.488, 0.498, 0.48, 0.468, 0.498, 0.493, 0.498, 0.497 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_q": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_q", "label": "Gini index of hourly earnings of employees: Female, Q. Human health and social work activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.527, 0.476, 0.459, 0.426, 0.431, 0.472, 0.433, 0.445 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_r": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_r", "label": "Gini index of hourly earnings of employees: Female, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.261, 0.253, 0.29, 0.287, 0.229, 0.26, 0.319, 0.317 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_s": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_s", "label": "Gini index of hourly earnings of employees: Female, S. Other service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.266, 0.29, 0.323, 0.311, 0.332, 0.342, 0.322, 0.295 ] }, "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_t": { "name": "ear_ehrg_sex_eco_nb__sex_f__eco_isic4_t", "label": "Gini index of hourly earnings of employees: Female, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.344, 0.316, 0.297, 0.271, 0.268, 0.256, 0.249, 0.261 ] }, "ear_ehrg_sex_eco_nb__sex_o__eco_sector_total": { "name": "ear_ehrg_sex_eco_nb__sex_o__eco_sector_total", "label": "Gini index of hourly earnings of employees: Other, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_o__eco_sector_nag": { "name": "ear_ehrg_sex_eco_nb__sex_o__eco_sector_nag", "label": "Gini index of hourly earnings of employees: Other, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_o__eco_sector_ser": { "name": "ear_ehrg_sex_eco_nb__sex_o__eco_sector_ser", "label": "Gini index of hourly earnings of employees: Other, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.007, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_o__eco_aggregate_total": { "name": "ear_ehrg_sex_eco_nb__sex_o__eco_aggregate_total", "label": "Gini index of hourly earnings of employees: Other, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_o__eco_aggregate_pub": { "name": "ear_ehrg_sex_eco_nb__sex_o__eco_aggregate_pub", "label": "Gini index of hourly earnings of employees: Other, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.007, 0.295, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_eco_nb__sex_o__eco_isic4_total": { "name": "ear_ehrg_sex_eco_nb__sex_o__eco_isic4_total", "label": "Gini index of hourly earnings of employees: Other, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_total": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_total", "label": "Gini index of hourly earnings of employees: Total, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#2E4BD8", "data": [ 0.444, 0.441, 0.447, 0.43, 0.436, 0.431, 0.422, 0.427 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_ltb": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_ltb", "label": "Gini index of hourly earnings of employees: Total, Less than basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C47A16", "data": [ 0.31, 0.31, 0.319, 0.265, 0.273, 0.269, 0.255, 0.253 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_bas": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_bas", "label": "Gini index of hourly earnings of employees: Total, Basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#5F6675", "data": [ 0.338, 0.338, 0.337, 0.323, 0.311, 0.297, 0.294, 0.283 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_int": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_int", "label": "Gini index of hourly earnings of employees: Total, Intermediate (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#878D99", "data": [ 0.387, 0.393, 0.386, 0.378, 0.372, 0.373, 0.361, 0.358 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_adv": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_adv", "label": "Gini index of hourly earnings of employees: Total, Advanced (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#A3A9B4", "data": [ 0.383, 0.4, 0.393, 0.382, 0.386, 0.38, 0.379, 0.398 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_x": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_aggregate_x", "label": "Gini index of hourly earnings of employees: Total, Level not stated (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.278, null, null, null, null, null, null ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_total": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_total", "label": "Gini index of hourly earnings of employees: Total, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.444, 0.441, 0.447, 0.43, 0.436, 0.431, 0.422, 0.427 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_x": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_x", "label": "Gini index of hourly earnings of employees: Total, X. No schooling (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.304, 0.315, 0.317, 0.26, 0.278, 0.265, 0.254, 0.25 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_0": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_0", "label": "Gini index of hourly earnings of employees: Total, 0. Pre-primary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.319, 0.288, 0.316, 0.275, 0.253, 0.276, 0.255, 0.253 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_1": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_1", "label": "Gini index of hourly earnings of employees: Total, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.295, 0.289, 0.305, 0.291, 0.267, 0.262, 0.27, 0.264 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_2": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_2", "label": "Gini index of hourly earnings of employees: Total, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.342, 0.344, 0.341, 0.326, 0.317, 0.303, 0.298, 0.286 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_3": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_3", "label": "Gini index of hourly earnings of employees: Total, 3. Upper secondary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.383, 0.383, 0.383, 0.367, 0.363, 0.367, 0.348, 0.343 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_4": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_4", "label": "Gini index of hourly earnings of employees: Total, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.38, 0.408, 0.368, 0.379, 0.368, 0.372, 0.362, 0.363 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_5": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_5", "label": "Gini index of hourly earnings of employees: Total, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.378, 0.395, 0.389, 0.371, 0.375, 0.372, 0.373, 0.387 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_6": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_6", "label": "Gini index of hourly earnings of employees: Total, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.372, 0.384, 0.37, 0.372, 0.382, 0.367, 0.367, 0.388 ] }, "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_unk": { "name": "ear_ehrg_sex_edu_nb__sex_t__edu_isced97_unk", "label": "Gini index of hourly earnings of employees: Total, Level not stated (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.278, null, null, null, null, null, null ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_total": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_total", "label": "Gini index of hourly earnings of employees: Male, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.426, 0.424, 0.432, 0.418, 0.421, 0.413, 0.405, 0.41 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_ltb": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_ltb", "label": "Gini index of hourly earnings of employees: Male, Less than basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.287, 0.291, 0.313, 0.265, 0.251, 0.263, 0.248, 0.235 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_bas": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_bas", "label": "Gini index of hourly earnings of employees: Male, Basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.33, 0.331, 0.33, 0.318, 0.305, 0.29, 0.288, 0.273 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_int": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_int", "label": "Gini index of hourly earnings of employees: Male, Intermediate (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.371, 0.383, 0.376, 0.369, 0.361, 0.358, 0.348, 0.345 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_adv": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_adv", "label": "Gini index of hourly earnings of employees: Male, Advanced (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.372, 0.389, 0.385, 0.376, 0.373, 0.37, 0.366, 0.388 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_x": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_aggregate_x", "label": "Gini index of hourly earnings of employees: Male, Level not stated (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.295, null, null, null, null, null, null ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_total": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_total", "label": "Gini index of hourly earnings of employees: Male, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.426, 0.424, 0.432, 0.418, 0.421, 0.413, 0.405, 0.41 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_x": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_x", "label": "Gini index of hourly earnings of employees: Male, X. No schooling (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.282, 0.297, 0.307, 0.259, 0.258, 0.251, 0.247, 0.231 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_0": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_0", "label": "Gini index of hourly earnings of employees: Male, 0. Pre-primary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.291, 0.275, 0.317, 0.274, 0.235, 0.282, 0.249, 0.24 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_1": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_1", "label": "Gini index of hourly earnings of employees: Male, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.283, 0.273, 0.294, 0.28, 0.26, 0.254, 0.254, 0.246 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_2": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_2", "label": "Gini index of hourly earnings of employees: Male, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.334, 0.338, 0.335, 0.322, 0.31, 0.295, 0.294, 0.278 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_3": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_3", "label": "Gini index of hourly earnings of employees: Male, 3. Upper secondary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.366, 0.374, 0.372, 0.36, 0.354, 0.355, 0.337, 0.334 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_4": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_4", "label": "Gini index of hourly earnings of employees: Male, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.368, 0.398, 0.36, 0.366, 0.357, 0.356, 0.346, 0.347 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_5": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_5", "label": "Gini index of hourly earnings of employees: Male, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.368, 0.385, 0.381, 0.365, 0.362, 0.362, 0.361, 0.377 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_6": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_6", "label": "Gini index of hourly earnings of employees: Male, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.356, 0.372, 0.357, 0.364, 0.362, 0.353, 0.348, 0.377 ] }, "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_unk": { "name": "ear_ehrg_sex_edu_nb__sex_m__edu_isced97_unk", "label": "Gini index of hourly earnings of employees: Male, Level not stated (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.295, null, null, null, null, null, null ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_total": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_total", "label": "Gini index of hourly earnings of employees: Female, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.493, 0.478, 0.481, 0.453, 0.468, 0.467, 0.455, 0.463 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_ltb": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_ltb", "label": "Gini index of hourly earnings of employees: Female, Less than basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.296, 0.299, 0.297, 0.239, 0.263, 0.242, 0.24, 0.246 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_bas": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_bas", "label": "Gini index of hourly earnings of employees: Female, Basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.331, 0.314, 0.324, 0.299, 0.282, 0.282, 0.272, 0.273 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_int": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_int", "label": "Gini index of hourly earnings of employees: Female, Intermediate (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.453, 0.426, 0.42, 0.401, 0.409, 0.422, 0.398, 0.391 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_adv": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_aggregate_adv", "label": "Gini index of hourly earnings of employees: Female, Advanced (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.412, 0.425, 0.412, 0.394, 0.416, 0.405, 0.41, 0.418 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_total": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_total", "label": "Gini index of hourly earnings of employees: Female, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.493, 0.478, 0.481, 0.453, 0.468, 0.467, 0.455, 0.463 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_x": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_x", "label": "Gini index of hourly earnings of employees: Female, X. No schooling (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.29, 0.305, 0.301, 0.235, 0.267, 0.252, 0.24, 0.241 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_0": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_0", "label": "Gini index of hourly earnings of employees: Female, 0. Pre-primary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.311, 0.258, 0.271, 0.25, 0.241, 0.211, 0.24, 0.251 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_1": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_1", "label": "Gini index of hourly earnings of employees: Female, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.3, 0.279, 0.29, 0.281, 0.257, 0.249, 0.261, 0.274 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_2": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_2", "label": "Gini index of hourly earnings of employees: Female, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.337, 0.317, 0.332, 0.3, 0.29, 0.293, 0.273, 0.272 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_3": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_3", "label": "Gini index of hourly earnings of employees: Female, 3. Upper secondary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.434, 0.406, 0.413, 0.375, 0.374, 0.392, 0.366, 0.347 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_4": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_4", "label": "Gini index of hourly earnings of employees: Female, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.426, 0.444, 0.395, 0.416, 0.402, 0.439, 0.434, 0.421 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_5": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_5", "label": "Gini index of hourly earnings of employees: Female, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.405, 0.413, 0.411, 0.382, 0.403, 0.397, 0.406, 0.413 ] }, "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_6": { "name": "ear_ehrg_sex_edu_nb__sex_f__edu_isced97_6", "label": "Gini index of hourly earnings of employees: Female, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.401, 0.402, 0.391, 0.381, 0.411, 0.39, 0.399, 0.401 ] }, "ear_ehrg_sex_edu_nb__sex_o__edu_aggregate_total": { "name": "ear_ehrg_sex_edu_nb__sex_o__edu_aggregate_total", "label": "Gini index of hourly earnings of employees: Other, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_edu_nb__sex_o__edu_isced97_total": { "name": "ear_ehrg_sex_edu_nb__sex_o__edu_isced97_total", "label": "Gini index of hourly earnings of employees: Other, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, 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"ear_ehrg_sex_geo_nb__sex_o__geo_cov_nat", "label": "Gini index of hourly earnings of employees: Other, National", "unit": "gini", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 0.012, 0.308, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrg_sex_geo_nb__sex_o__geo_cov_urb": { "name": "ear_ehrg_sex_geo_nb__sex_o__geo_cov_urb", "label": "Gini index of hourly earnings of employees: Other, Urban", "unit": "gini", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ null, 0.187, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrg_sex_mts_nb__sex_t__mts_aggregate_total": { "name": "ear_ehrg_sex_mts_nb__sex_t__mts_aggregate_total", "label": "Gini index of hourly earnings of employees: 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"ear_ehrm_sex_age_nb__sex_t__age_ythadult_yge15": { "name": "ear_ehrm_sex_age_nb__sex_t__age_ythadult_yge15", "label": "Median hourly earnings of employees: Total, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#2E4BD8", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_age_nb__sex_t__age_ythadult_y15_24": { "name": "ear_ehrm_sex_age_nb__sex_t__age_ythadult_y15_24", "label": "Median hourly earnings of employees: Total, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C47A16", "data": [ 30.625, 32.509, 32.967, 36.529, 37.748, 41.209, 43.956, 49.451 ] }, "ear_ehrm_sex_age_nb__sex_t__age_ythadult_yge25": { "name": "ear_ehrm_sex_age_nb__sex_t__age_ythadult_yge25", "label": "Median hourly earnings of employees: Total, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#5F6675", "data": [ 43.119, 43.086, 48.595, 49.913, 52.362, 56.68, 61.813, 61.813 ] }, "ear_ehrm_sex_age_nb__sex_t__age_aggregate_yge15": { "name": "ear_ehrm_sex_age_nb__sex_t__age_aggregate_yge15", "label": "Median hourly earnings of employees: Total, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#878D99", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_age_nb__sex_t__age_aggregate_y15_24": { "name": "ear_ehrm_sex_age_nb__sex_t__age_aggregate_y15_24", "label": "Median hourly earnings of employees: Total, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#A3A9B4", "data": [ 30.625, 32.509, 32.967, 36.529, 37.748, 41.209, 43.956, 49.451 ] }, "ear_ehrm_sex_age_nb__sex_t__age_aggregate_y25_54": { "name": "ear_ehrm_sex_age_nb__sex_t__age_aggregate_y25_54", "label": "Median hourly earnings of employees: Total, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 43.177, 43.25, 48.993, 50.063, 53.565, 57.692, 61.813, 63.72 ] }, "ear_ehrm_sex_age_nb__sex_t__age_aggregate_y55_64": { "name": "ear_ehrm_sex_age_nb__sex_t__age_aggregate_y55_64", "label": "Median hourly earnings of employees: Total, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 47.034, 45.797, 50.938, 46.897, 51.68, 50, 54.945, 58.67 ] }, "ear_ehrm_sex_age_nb__sex_t__age_aggregate_yge65": { "name": "ear_ehrm_sex_age_nb__sex_t__age_aggregate_yge65", "label": "Median hourly earnings of employees: Total, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 23.175, 24.505, 30.096, 31.196, 31.744, 37.875, 39.56, 41.209 ] }, "ear_ehrm_sex_age_nb__sex_m__age_ythadult_yge15": { "name": "ear_ehrm_sex_age_nb__sex_m__age_ythadult_yge15", "label": "Median hourly earnings of employees: Male, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_age_nb__sex_m__age_ythadult_y15_24": { "name": "ear_ehrm_sex_age_nb__sex_m__age_ythadult_y15_24", "label": "Median hourly earnings of employees: Male, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 31.426, 32.967, 33.348, 36.362, 37.337, 41.209, 44.75, 49.451 ] }, "ear_ehrm_sex_age_nb__sex_m__age_ythadult_yge25": { "name": "ear_ehrm_sex_age_nb__sex_m__age_ythadult_yge25", "label": "Median hourly earnings of employees: Male, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 49.451, 49.451, 51.935, 55.894, 59.662, 61.813, 65.934, 69.231 ] }, "ear_ehrm_sex_age_nb__sex_m__age_aggregate_yge15": { "name": "ear_ehrm_sex_age_nb__sex_m__age_aggregate_yge15", "label": "Median hourly earnings of employees: Male, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_age_nb__sex_m__age_aggregate_y15_24": { "name": "ear_ehrm_sex_age_nb__sex_m__age_aggregate_y15_24", "label": "Median hourly earnings of employees: Male, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 31.426, 32.967, 33.348, 36.362, 37.337, 41.209, 44.75, 49.451 ] }, "ear_ehrm_sex_age_nb__sex_m__age_aggregate_y25_54": { "name": "ear_ehrm_sex_age_nb__sex_m__age_aggregate_y25_54", "label": "Median hourly earnings of employees: Male, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 49.451, 49.451, 51.624, 55.881, 59.657, 61.813, 65.934, 70.055 ] }, "ear_ehrm_sex_age_nb__sex_m__age_aggregate_y55_64": { "name": "ear_ehrm_sex_age_nb__sex_m__age_aggregate_y55_64", "label": "Median hourly earnings of employees: Male, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 61.977, 58.467, 67.179, 66.618, 64.27, 65.934, 72.998, 70.502 ] }, "ear_ehrm_sex_age_nb__sex_m__age_aggregate_yge65": { "name": "ear_ehrm_sex_age_nb__sex_m__age_aggregate_yge65", "label": "Median hourly earnings of employees: Male, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 28.518, 26.708, 34.188, 31.753, 34.303, 41.209, 41.367, 43.689 ] }, "ear_ehrm_sex_age_nb__sex_f__age_ythadult_yge15": { "name": "ear_ehrm_sex_age_nb__sex_f__age_ythadult_yge15", "label": "Median hourly earnings of employees: Female, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_age_nb__sex_f__age_ythadult_y15_24": { "name": "ear_ehrm_sex_age_nb__sex_f__age_ythadult_y15_24", "label": "Median hourly earnings of employees: Female, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 28.847, 32.004, 33.233, 35.339, 39.85, 38.462, 41.209, 47.096 ] }, "ear_ehrm_sex_age_nb__sex_f__age_ythadult_yge25": { "name": "ear_ehrm_sex_age_nb__sex_f__age_ythadult_yge25", "label": "Median hourly earnings of employees: Female, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 30.154, 31.57, 33.397, 36.046, 37.615, 41.209, 43.226, 47.39 ] }, "ear_ehrm_sex_age_nb__sex_f__age_aggregate_yge15": { "name": "ear_ehrm_sex_age_nb__sex_f__age_aggregate_yge15", "label": "Median hourly earnings of employees: Female, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_age_nb__sex_f__age_aggregate_y15_24": { "name": "ear_ehrm_sex_age_nb__sex_f__age_aggregate_y15_24", "label": "Median hourly earnings of employees: Female, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 28.847, 32.004, 33.233, 35.339, 39.85, 38.462, 41.209, 47.096 ] }, "ear_ehrm_sex_age_nb__sex_f__age_aggregate_y25_54": { "name": "ear_ehrm_sex_age_nb__sex_f__age_aggregate_y25_54", "label": "Median hourly earnings of employees: Female, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 31.428, 33.314, 34.79, 37.555, 38.16, 41.209, 43.956, 49.451 ] }, "ear_ehrm_sex_age_nb__sex_f__age_aggregate_y55_64": { "name": "ear_ehrm_sex_age_nb__sex_f__age_aggregate_y55_64", "label": "Median hourly earnings of employees: Female, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 23.937, 27.882, 32.055, 31.4, 33.551, 35, 38.462, 41.958 ] }, "ear_ehrm_sex_age_nb__sex_f__age_aggregate_yge65": { "name": "ear_ehrm_sex_age_nb__sex_f__age_aggregate_yge65", "label": "Median hourly earnings of employees: Female, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 17.132, 20.967, 20.703, 29.924, 29.048, 35, 35, 37.088 ] }, "ear_ehrm_sex_age_nb__sex_o__age_ythadult_yge15": { "name": "ear_ehrm_sex_age_nb__sex_o__age_ythadult_yge15", "label": "Median hourly earnings of employees: Other, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_age_nb__sex_o__age_ythadult_yge25": { "name": "ear_ehrm_sex_age_nb__sex_o__age_ythadult_yge25", "label": "Median hourly earnings of employees: Other, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ null, 83.063, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_age_nb__sex_o__age_aggregate_yge15": { "name": "ear_ehrm_sex_age_nb__sex_o__age_aggregate_yge15", "label": "Median hourly earnings of employees: Other, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_age_nb__sex_o__age_aggregate_y25_54": { "name": "ear_ehrm_sex_age_nb__sex_o__age_aggregate_y25_54", "label": "Median hourly earnings of employees: Other, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ null, 83.063, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_t__eco_sector_total": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_sector_total", "label": "Median hourly earnings of employees: Total, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_sector_agr": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_sector_agr", "label": "Median hourly earnings of employees: Total, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C47A16", "data": [ 19.678, 23.814, 22.342, 28.576, 34.904, 28.846, 35.322, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_sector_nag": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_sector_nag", "label": "Median hourly earnings of employees: Total, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#5F6675", "data": [ 41.209, 41.209, 45.347, 48.982, 50.141, 54.546, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_sector_ind": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_sector_ind", "label": "Median hourly earnings of employees: Total, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#878D99", "data": [ 36.637, 38.116, 39.911, 42.57, 47.306, 49.451, 53.712, 59.627 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_sector_ser": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_sector_ser", "label": "Median hourly earnings of employees: Total, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#A3A9B4", "data": [ 44.314, 43.479, 48.492, 51.614, 53.626, 58.608, 61.813, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_total": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_total", "label": "Median hourly earnings of employees: Total, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_agr": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_agr", "label": "Median hourly earnings of employees: Total, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 19.678, 23.814, 22.342, 28.576, 34.904, 28.846, 35.322, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_man": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_man", "label": "Median hourly earnings of employees: Total, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 36.627, 40.341, 41.228, 43.393, 48.013, 49.451, 54.945, 59.341 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_con": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_con", "label": "Median hourly earnings of employees: Total, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29.694, 29.16, 33.69, 34.107, 39.321, 41.667, 49.451, 55.253 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_mel": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_mel", "label": "Median hourly earnings of employees: Total, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 60.441, 57.948, 57.308, 62.226, 61.548, 67.766, 68.681, 74.176 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_mkt": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_mkt", "label": "Median hourly earnings of employees: Total, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 42.103, 41.735, 47.735, 50.716, 53.873, 58.67, 61.813, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_pub": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_aggregate_pub", "label": "Median hourly earnings of employees: Total, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 48.545, 45.994, 51.594, 54.255, 53.492, 58.608, 61.813, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_total": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_total", "label": "Median hourly earnings of employees: Total, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_a": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_a", "label": "Median hourly earnings of employees: Total, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 19.678, 23.814, 22.342, 28.576, 34.904, 28.846, 35.322, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_b": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_b", "label": "Median hourly earnings of employees: Total, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 70.675, 69.323, 69.675, 83.632, 59.91, 103.022, 73.973, 76.236 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_c": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_c", "label": "Median hourly earnings of employees: Total, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 36.627, 40.341, 41.228, 43.393, 48.013, 49.451, 54.945, 59.341 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_d": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_d", "label": "Median hourly earnings of employees: Total, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 69.008, 69.467, 68.287, 68.856, 79.05, 63.297, 80.558, 84.836 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_e": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_e", "label": "Median hourly earnings of employees: Total, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 47.704, 38.713, 47.073, 47.38, 42.626, 49.451, 53.899, 57.692 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_f": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_f", "label": "Median hourly earnings of employees: Total, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29.694, 29.16, 33.69, 34.107, 39.321, 41.667, 49.451, 55.253 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_g": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_g", "label": "Median hourly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 32.508, 33.599, 35.607, 37.869, 41.209, 43.956, 47.289, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_h": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_h", "label": "Median hourly earnings of employees: Total, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 39.434, 41.634, 46.695, 48.593, 51.185, 53.571, 59.341, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_i": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_i", "label": "Median hourly earnings of employees: Total, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 32.84, 36.981, 36.149, 38.064, 41.061, 43.269, 47.289, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_j": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_j", "label": "Median hourly earnings of employees: Total, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 101.053, 95.156, 113.282, 122.668, 141.609, 164.835, 164.835, 152.473 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_k": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_k", "label": "Median hourly earnings of employees: Total, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 80.759, 80.547, 77.663, 85.455, 90.852, 97.587, 98.364, 103.022 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_l": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_l", "label": "Median hourly earnings of employees: Total, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 55.067, 49.009, 47.252, 47.392, 50.099, 82.418, 65.229, 79.451 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_m": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_m", "label": "Median hourly earnings of employees: Total, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 81.58, 78.469, 95.601, 91.611, 86.067, 90.946, 103.022, 104.925 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_n": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_n", "label": "Median hourly earnings of employees: Total, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 40.703, 41.132, 44.483, 49.832, 55.049, 51.511, 59.71, 57.692 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_o": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_o", "label": "Median hourly earnings of employees: Total, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 89.144, 94.483, 87.231, 101.457, 107.103, 115.385, 129.777, 127.747 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_p": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_p", "label": "Median hourly earnings of employees: Total, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 65.721, 57.89, 82.115, 85.09, 79.396, 82.418, 82.418, 82.418 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_q": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_q", "label": "Median hourly earnings of employees: Total, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.844, 45.031, 53.596, 50.985, 49.482, 54.945, 52.448, 59.682 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_r": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_r", "label": "Median hourly earnings of employees: Total, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 43.111, 53.658, 44.375, 41.797, 41.862, 61.813, 65.662, 65.934 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_s": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_s", "label": "Median hourly earnings of employees: Total, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 27.603, 31.094, 32.229, 33.472, 34.434, 37.088, 43.956, 43.056 ] }, "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_t": { "name": "ear_ehrm_sex_eco_nb__sex_t__eco_isic4_t", "label": "Median hourly earnings of employees: Total, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25.689, 28.545, 26.771, 30.589, 31.065, 32.967, 35.503, 39.56 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_sector_total": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_sector_total", "label": "Median hourly earnings of employees: Male, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_sector_agr": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_sector_agr", "label": "Median hourly earnings of employees: Male, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.31, 28.054, 28.581, 31.047, 36.257, 32.967, 37.533, 43.269 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_sector_nag": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_sector_nag", "label": "Median hourly earnings of employees: Male, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 44.237, 44.314, 49.451, 50.725, 54.112, 59.682, 61.813, 65.934 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_sector_ind": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_sector_ind", "label": "Median hourly earnings of employees: Male, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 39.377, 41.209, 43.964, 47.192, 49.011, 53.571, 58.608, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_sector_ser": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_sector_ser", "label": "Median hourly earnings of employees: Male, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 49.451, 49.392, 52.093, 57.004, 59.859, 61.813, 64.987, 67.766 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_total": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_total", "label": "Median hourly earnings of employees: Male, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_agr": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_agr", "label": "Median hourly earnings of employees: Male, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.31, 28.054, 28.581, 31.047, 36.257, 32.967, 37.533, 43.269 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_man": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_man", "label": "Median hourly earnings of employees: Male, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 38.645, 41.209, 43.743, 46.154, 48.603, 51.511, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_con": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_con", "label": "Median hourly earnings of employees: Male, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.895, 37.01, 40.983, 43.817, 47.902, 54.945, 59.341, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_mel": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_mel", "label": "Median hourly earnings of employees: Male, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 59.872, 59.968, 57.403, 65.431, 63.593, 72.115, 68.681, 74.176 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_mkt": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_mkt", "label": "Median hourly earnings of employees: Male, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.918, 41.633, 47.177, 49.966, 53.271, 57.692, 61.813, 61.873 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_pub": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_aggregate_pub", "label": "Median hourly earnings of employees: Male, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 75.917, 67.961, 80.696, 79.424, 82.543, 90.498, 90.659, 88.768 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_total": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_total", "label": "Median hourly earnings of employees: Male, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_a": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_a", "label": "Median hourly earnings of employees: Male, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.31, 28.054, 28.581, 31.047, 36.257, 32.967, 37.533, 43.269 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_b": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_b", "label": "Median hourly earnings of employees: Male, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 68.74, 76.771, 68.129, 84.976, 58.193, 103.824, 74.14, 76.31 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_c": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_c", "label": "Median hourly earnings of employees: Male, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 38.645, 41.209, 43.743, 46.154, 48.603, 51.511, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_d": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_d", "label": "Median hourly earnings of employees: Male, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 65.844, 66.159, 65.921, 68.195, 78.794, 63.277, 76.236, 82.418 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_e": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_e", "label": "Median hourly earnings of employees: Male, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 55.75, 39.115, 46.705, 54.969, 44.47, 61.813, 57.692, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_f": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_f", "label": "Median hourly earnings of employees: Male, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.895, 37.01, 40.983, 43.817, 47.902, 54.945, 59.341, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_g": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_g", "label": "Median hourly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 32.888, 34.253, 36.315, 38.938, 41.209, 45.788, 49.451, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_h": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_h", "label": "Median hourly earnings of employees: Male, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 39.23, 41.636, 45.777, 48.602, 50.935, 52.318, 59.341, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_i": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_i", "label": "Median hourly earnings of employees: Male, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 35.448, 40.203, 37.921, 38.482, 43.369, 45.235, 49.451, 53.946 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_j": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_j", "label": "Median hourly earnings of employees: Male, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 102.382, 99.593, 116.146, 123.732, 148.523, 164.835, 175.467, 164.835 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_k": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_k", "label": "Median hourly earnings of employees: Male, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 78.05, 82.415, 76.224, 87.928, 91.515, 103.022, 100.971, 103.022 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_l": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_l", "label": "Median hourly earnings of employees: Male, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 56.312, 60.483, 48.493, 49.451, 51.046, 82.418, 61.813, 77.165 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_m": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_m", "label": "Median hourly earnings of employees: Male, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 91.508, 77.33, 96.44, 92.892, 84.635, 97.155, 103.022, 109.518 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_n": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_n", "label": "Median hourly earnings of employees: Male, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 42.183, 41.744, 42.746, 49.409, 56.68, 51.511, 61.813, 59.341 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_o": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_o", "label": "Median hourly earnings of employees: Male, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 96.178, 102.705, 99.371, 111.234, 116.174, 123.626, 136.576, 140.11 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_p": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_p", "label": "Median hourly earnings of employees: Male, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 100.913, 94.694, 120.751, 126.114, 130.306, 131.868, 143.511, 131.868 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_q": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_q", "label": "Median hourly earnings of employees: Male, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 55.566, 57.417, 77.798, 60.134, 59.588, 74.176, 65.934, 72.875 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_r": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_r", "label": "Median hourly earnings of employees: Male, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 42.837, 53.382, 44.903, 41.709, 43.297, 61.813, 73.26, 65.934 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_s": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_s", "label": "Median hourly earnings of employees: Male, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.965, 33.708, 37.187, 38.449, 39.123, 41.908, 49.451, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_t": { "name": "ear_ehrm_sex_eco_nb__sex_m__eco_isic4_t", "label": "Median hourly earnings of employees: Male, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 32.973, 33.796, 33.37, 38.098, 37.084, 41.209, 41.209, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_sector_total": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_sector_total", "label": "Median hourly earnings of employees: Female, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_sector_agr": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_sector_agr", "label": "Median hourly earnings of employees: Female, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16.41, 17.151, 15.385, 25.149, 32.76, 27.895, 30.907, 34.437 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_sector_nag": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_sector_nag", "label": "Median hourly earnings of employees: Female, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 30.914, 32.38, 34.613, 37.304, 38.477, 41.209, 43.269, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_sector_ind": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_sector_ind", "label": "Median hourly earnings of employees: Female, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24.237, 27.76, 30.156, 32.207, 33.276, 36.63, 40, 43.269 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_sector_ser": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_sector_ser", "label": "Median hourly earnings of employees: Female, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 32.967, 34.795, 39.235, 42.212, 41.012, 43.956, 46.43, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_total": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_total", "label": "Median hourly earnings of employees: Female, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_agr": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_agr", "label": "Median hourly earnings of employees: Female, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16.41, 17.151, 15.385, 25.149, 32.76, 27.895, 30.907, 34.437 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_man": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_man", "label": "Median hourly earnings of employees: Female, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 26.86, 31.777, 31.054, 34.154, 33.927, 38.339, 39.148, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_con": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_con", "label": "Median hourly earnings of employees: Female, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 20.404, 24.011, 27.332, 29.61, 31.216, 35, 40, 43.75 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_mel": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_mel", "label": "Median hourly earnings of employees: Female, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.72, 41.256, 60.813, 41.973, 42.102, 40.567, 71.886, 62.952 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_mkt": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_mkt", "label": "Median hourly earnings of employees: Female, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 46.093, 48.565, 57.574, 57.216, 58.64, 65.934, 61.813, 61.813 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_pub": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_aggregate_pub", "label": "Median hourly earnings of employees: Female, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 31.414, 32.967, 34.937, 38.068, 37.241, 41.209, 41.209, 47.009 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_total": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_total", "label": "Median hourly earnings of employees: Female, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_a": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_a", "label": "Median hourly earnings of employees: Female, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16.41, 17.151, 15.385, 25.149, 32.76, 27.895, 30.907, 34.437 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_b": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_b", "label": "Median hourly earnings of employees: Female, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 96.777, 43.284, 111.725, 65.078, 159.68, 71.67, 57.692, 65.108 ], "flags": { "U": [ "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_c": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_c", "label": "Median hourly earnings of employees: Female, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 26.86, 31.777, 31.054, 34.154, 33.927, 38.339, 39.148, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_d": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_d", "label": "Median hourly earnings of employees: Female, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 83.242, 64.456, 78.737, 79.135, 62.858, 63.97, 141.332, 103.557 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_e": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_e", "label": "Median hourly earnings of employees: Female, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.215, 29.068, 49.015, 35.805, 35.676, 32.967, 37.088, 44.628 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_f": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_f", "label": "Median hourly earnings of employees: Female, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 20.404, 24.011, 27.332, 29.61, 31.216, 35, 40, 43.75 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_g": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_g", "label": "Median hourly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29.426, 30.669, 31.649, 32.842, 37.683, 37.088, 39.148, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_h": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_h", "label": "Median hourly earnings of employees: Female, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 76.274, 63.387, 67.997, 61.633, 68.968, 128.066, 80.417, 74.176 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_i": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_i", "label": "Median hourly earnings of employees: Female, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21.237, 25.063, 28.537, 30.287, 31.849, 37.088, 36.921, 41.209 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_j": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_j", "label": "Median hourly earnings of employees: Female, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 87.187, 91.93, 108.117, 115.733, 129.754, 146.52, 164.835, 144.231 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_k": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_k", "label": "Median hourly earnings of employees: Female, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 83.884, 105.362, 78.642, 82.266, 86.216, 82.557, 91.737, 90.659 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_l": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_l", "label": "Median hourly earnings of employees: Female, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 41.146, 27.197, 36.366, 31.34, 47.724, 53.723, 83.197, 82.418 ], "flags": { "U": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_m": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_m", "label": "Median hourly earnings of employees: Female, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 58.29, 79.499, 83.431, 83.93, 88.282, 82.418, 82.418, 103.022 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_n": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_n", "label": "Median hourly earnings of employees: Female, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 34.577, 40.451, 53.788, 46.083, 43.341, 50, 49.451, 49.451 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_o": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_o", "label": "Median hourly earnings of employees: Female, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 57.474, 66.902, 41.493, 55.225, 59.406, 57.692, 82.418, 76.236 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_p": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_p", "label": "Median hourly earnings of employees: Female, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 38.907, 38.479, 50.352, 52.411, 47.511, 54.945, 55.632, 59.753 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_q": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_q", "label": "Median hourly earnings of employees: Female, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 32.657, 33.935, 38.003, 44, 42.851, 43.956, 47.185, 51.923 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_r": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_r", "label": "Median hourly earnings of employees: Female, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 38.281, 59.266, 60.388, 37.236, 30.688, 65.934, 61.266, 55.486 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_s": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_s", "label": "Median hourly earnings of employees: Female, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21.91, 26.066, 25.322, 25.518, 26.87, 31.862, 35.956, 37.088 ] }, "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_t": { "name": "ear_ehrm_sex_eco_nb__sex_f__eco_isic4_t", "label": "Median hourly earnings of employees: Female, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21.341, 24.578, 24.426, 27.59, 27.622, 32.967, 32.967, 34.304 ] }, "ear_ehrm_sex_eco_nb__sex_o__eco_sector_total": { "name": "ear_ehrm_sex_eco_nb__sex_o__eco_sector_total", "label": "Median hourly earnings of employees: Other, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_o__eco_sector_nag": { "name": "ear_ehrm_sex_eco_nb__sex_o__eco_sector_nag", "label": "Median hourly earnings of employees: Other, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_o__eco_sector_ser": { "name": "ear_ehrm_sex_eco_nb__sex_o__eco_sector_ser", "label": "Median hourly earnings of employees: Other, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.668, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_o__eco_aggregate_total": { "name": "ear_ehrm_sex_eco_nb__sex_o__eco_aggregate_total", "label": "Median hourly earnings of employees: Other, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_o__eco_aggregate_pub": { "name": "ear_ehrm_sex_eco_nb__sex_o__eco_aggregate_pub", "label": "Median hourly earnings of employees: Other, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.668, 99.476, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_eco_nb__sex_o__eco_isic4_total": { "name": "ear_ehrm_sex_eco_nb__sex_o__eco_isic4_total", "label": "Median hourly earnings of employees: Other, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_total": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_total", "label": "Median hourly earnings of employees: Total, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#2E4BD8", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_ltb": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_ltb", "label": "Median hourly earnings of employees: Total, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C47A16", "data": [ 24.633, 27.244, 29.053, 31.449, 33.387, 33.333, 37.677, 41.209 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_bas": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_bas", "label": "Median hourly earnings of employees: Total, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#5F6675", "data": [ 32.967, 34.827, 36.595, 39.472, 40.795, 43.749, 47.619, 49.451 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_int": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_int", "label": "Median hourly earnings of employees: Total, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#878D99", "data": [ 48.237, 45.097, 49.859, 50.002, 52.016, 57.692, 60.165, 61.813 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_adv": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_adv", "label": "Median hourly earnings of employees: Total, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#A3A9B4", "data": [ 86.856, 82.418, 98.4, 97.962, 104.39, 115.385, 115.385, 117.216 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_x": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_aggregate_x", "label": "Median hourly earnings of employees: Total, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 33.184, null, null, null, null, null, null ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_total": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_total", "label": "Median hourly earnings of employees: Total, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_x": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_x", "label": "Median hourly earnings of employees: Total, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 24.229, 26.693, 28.018, 30.991, 32.967, 32.967, 37.088, 39.56 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_0": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_0", "label": "Median hourly earnings of employees: Total, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 27.287, 29.697, 31.252, 32.527, 36.206, 36.63, 39.933, 43.956 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_1": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_1", "label": "Median hourly earnings of employees: Total, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 28.845, 30.632, 34.184, 33.037, 36.005, 39.56, 42.033, 46.125 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_2": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_2", "label": "Median hourly earnings of employees: Total, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 33.631, 36.582, 37.868, 41.209, 41.437, 45.33, 49.451, 50.905 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_3": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_3", "label": "Median hourly earnings of employees: Total, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 42.734, 42.339, 46.683, 48.09, 49.451, 53.571, 54.945, 59.753 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_4": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_4", "label": "Median hourly earnings of employees: Total, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 57.271, 51.357, 69.054, 62.916, 62.899, 65.934, 73.26, 77.654 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_5": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_5", "label": "Median hourly earnings of employees: Total, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 82.418, 73.618, 81.73, 84.629, 95.654, 103.022, 103.022, 103.022 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_6": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_6", "label": "Median hourly earnings of employees: Total, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 109.547, 110.136, 127.073, 126.403, 136.577, 144.231, 146.52, 156.593 ] }, "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_unk": { "name": "ear_ehrm_sex_edu_nb__sex_t__edu_isced97_unk", "label": "Median hourly earnings of employees: Total, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 33.184, null, null, null, null, null, null ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_total": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_total", "label": "Median hourly earnings of employees: Male, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_ltb": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_ltb", "label": "Median hourly earnings of employees: Male, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 28.66, 32.236, 32.967, 34.788, 38.973, 39.56, 42.857, 47.774 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_bas": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_bas", "label": "Median hourly earnings of employees: Male, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 34.821, 36.973, 39.057, 41.209, 42.731, 49.208, 49.451, 53.946 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_int": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_int", "label": "Median hourly earnings of employees: Male, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 49.451, 49.451, 50.446, 52.586, 55.861, 61.813, 61.813, 65.934 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_adv": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_adv", "label": "Median hourly earnings of employees: Male, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 92.285, 87.245, 102.829, 104.828, 114.919, 118.37, 122.279, 123.626 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_x": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_aggregate_x", "label": "Median hourly earnings of employees: Male, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 29.265, null, null, null, null, null, null ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_total": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_total", "label": "Median hourly earnings of employees: Male, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_x": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_x", "label": "Median hourly earnings of employees: Male, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 27.264, 32.367, 32.967, 35.915, 38.143, 39.478, 43.75, 46.154 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_0": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_0", "label": "Median hourly earnings of employees: Male, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 30.543, 32.989, 33.496, 34.567, 39.895, 41.209, 42.857, 49.451 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_1": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_1", "label": "Median hourly earnings of employees: Male, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 30.376, 32.967, 36.46, 36.194, 38.748, 41.38, 49.451, 49.451 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_2": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_2", "label": "Median hourly earnings of employees: Male, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 36.428, 38.671, 39.93, 41.988, 44.315, 49.451, 49.451, 54.945 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_3": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_3", "label": "Median hourly earnings of employees: Male, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 47.614, 46.177, 48.95, 49.451, 52.226, 57.692, 59.682, 61.813 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_4": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_4", "label": "Median hourly earnings of employees: Male, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 57.978, 53.793, 69.268, 64.57, 65.047, 70.055, 74.176, 82.418 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_5": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_5", "label": "Median hourly earnings of employees: Male, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 82.418, 80.392, 85.167, 90.862, 102.901, 103.611, 105.809, 109.203 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_6": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_6", "label": "Median hourly earnings of employees: Male, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 118.12, 116.087, 140.726, 135.997, 155.035, 156.593, 164.835, 166.667 ] }, "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_unk": { "name": "ear_ehrm_sex_edu_nb__sex_m__edu_isced97_unk", "label": "Median hourly earnings of employees: Male, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 29.265, null, null, null, null, null, null ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_total": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_total", "label": "Median hourly earnings of employees: Female, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_ltb": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_ltb", "label": "Median hourly earnings of employees: Female, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 19.744, 22.606, 24.576, 27.911, 28.099, 29.655, 33.333, 34.615 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_bas": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_bas", "label": "Median hourly earnings of employees: Female, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 24.801, 25.967, 28.794, 31.669, 32.316, 35, 37.088, 39.56 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_int": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_int", "label": "Median hourly earnings of employees: Female, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 32.987, 36.849, 41.597, 39.596, 41.797, 41.209, 46.154, 49.451 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_adv": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_aggregate_adv", "label": "Median hourly earnings of employees: Female, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 71.518, 66.796, 85.447, 81.399, 82.418, 98.902, 98.901, 103.022 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_total": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_total", "label": "Median hourly earnings of employees: Female, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_x": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_x", "label": "Median hourly earnings of employees: Female, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 20.012, 22.935, 24.386, 28.143, 27.569, 29.267, 33.333, 32.967 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_0": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_0", "label": "Median hourly earnings of employees: Female, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 19.959, 22.428, 26.26, 27.96, 30.046, 30, 35, 38.462 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_1": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_1", "label": "Median hourly earnings of employees: Female, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 22.443, 22.186, 25.589, 28.709, 30.076, 32.967, 33.72, 37.088 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_2": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_2", "label": "Median hourly earnings of employees: Female, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 25.933, 27.824, 30.01, 32.967, 32.908, 36.199, 38.464, 41.209 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_3": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_3", "label": "Median hourly earnings of employees: Female, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 30.052, 35.335, 35.952, 36.803, 37.945, 39.56, 42.386, 45.33 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_4": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_4", "label": "Median hourly earnings of employees: Female, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 46.777, 42.342, 61.039, 50.32, 57.607, 53.571, 53.901, 62.952 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_5": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_5", "label": "Median hourly earnings of employees: Female, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 64.522, 55.637, 68.764, 71.03, 74.177, 82.418, 82.418, 82.418 ] }, "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_6": { "name": "ear_ehrm_sex_edu_nb__sex_f__edu_isced97_6", "label": "Median hourly earnings of employees: Female, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 93.076, 100.595, 102.594, 111.613, 104.794, 123.626, 123.626, 128.42 ] }, "ear_ehrm_sex_edu_nb__sex_o__edu_aggregate_total": { "name": "ear_ehrm_sex_edu_nb__sex_o__edu_aggregate_total", "label": "Median hourly earnings of employees: Other, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_edu_nb__sex_o__edu_isced97_total": { "name": "ear_ehrm_sex_edu_nb__sex_o__edu_isced97_total", "label": "Median hourly earnings of employees: Other, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_geo_nb__sex_t__geo_cov_nat": { "name": "ear_ehrm_sex_geo_nb__sex_t__geo_cov_nat", "label": "Median hourly earnings of employees: Total, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#2E4BD8", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_geo_nb__sex_t__geo_cov_rur": { "name": "ear_ehrm_sex_geo_nb__sex_t__geo_cov_rur", "label": "Median hourly earnings of employees: Total, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C47A16", "data": [ 34.025, 35.396, 37.253, 40.047, 41.613, 45.788, 49.451, 52.747 ] }, "ear_ehrm_sex_geo_nb__sex_t__geo_cov_urb": { "name": "ear_ehrm_sex_geo_nb__sex_t__geo_cov_urb", "label": "Median hourly earnings of employees: Total, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#5F6675", "data": [ 47.401, 48.061, 52.944, 56.746, 59.593, 61.813, 64.103, 67.995 ] }, "ear_ehrm_sex_geo_nb__sex_m__geo_cov_nat": { "name": "ear_ehrm_sex_geo_nb__sex_m__geo_cov_nat", "label": "Median hourly earnings of employees: Male, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#878D99", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_geo_nb__sex_m__geo_cov_rur": { "name": "ear_ehrm_sex_geo_nb__sex_m__geo_cov_rur", "label": "Median hourly earnings of employees: Male, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#A3A9B4", "data": [ 37.934, 39.77, 40.196, 43.224, 47.209, 49.451, 54.299, 57.692 ] }, "ear_ehrm_sex_geo_nb__sex_m__geo_cov_urb": { "name": "ear_ehrm_sex_geo_nb__sex_m__geo_cov_urb", "label": "Median hourly earnings of employees: Male, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 49.451, 49.451, 56.545, 59.492, 61.896, 65.934, 68.681, 74.176 ] }, "ear_ehrm_sex_geo_nb__sex_f__geo_cov_nat": { "name": "ear_ehrm_sex_geo_nb__sex_f__geo_cov_nat", "label": "Median hourly earnings of employees: Female, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_geo_nb__sex_f__geo_cov_rur": { "name": "ear_ehrm_sex_geo_nb__sex_f__geo_cov_rur", "label": "Median hourly earnings of employees: Female, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 24.093, 26.737, 28.413, 31.51, 32.977, 34.286, 38.223, 41.209 ] }, "ear_ehrm_sex_geo_nb__sex_f__geo_cov_urb": { "name": "ear_ehrm_sex_geo_nb__sex_f__geo_cov_urb", "label": "Median hourly earnings of employees: Female, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 35.09, 37.449, 41.063, 44.049, 47.019, 49.451, 49.451, 54.945 ] }, "ear_ehrm_sex_geo_nb__sex_o__geo_cov_nat": { "name": "ear_ehrm_sex_geo_nb__sex_o__geo_cov_nat", "label": "Median hourly earnings of employees: Other, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_geo_nb__sex_o__geo_cov_urb": { "name": "ear_ehrm_sex_geo_nb__sex_o__geo_cov_urb", "label": "Median hourly earnings of employees: Other, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ null, 210.62, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_mts_nb__sex_t__mts_aggregate_total": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_aggregate_total", "label": "Median hourly earnings of employees: Total, 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employees: Total, Not elsewhere classified (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#878D99", "data": [ null, 34.214, null, null, null, null, null, null ], "withheld": [ "2020-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_mts_nb__sex_t__mts_details_total": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_details_total", "label": "Median hourly earnings of employees: Total, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#A3A9B4", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_mts_nb__sex_t__mts_details_sgle": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_details_sgle", "label": "Median hourly earnings of employees: Total, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 35.388, 36.99, 38.848, 42.741, 45.341, 49.451, 53.114, 57.692 ] }, "ear_ehrm_sex_mts_nb__sex_t__mts_details_mrd": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_details_mrd", "label": "Median hourly earnings of employees: Total, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 43.896, 43.859, 49.038, 49.972, 53.1, 57.692, 61.813, 62.637 ] }, "ear_ehrm_sex_mts_nb__sex_t__mts_details_wid": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_details_wid", "label": "Median hourly earnings of employees: Total, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 25.338, 29.272, 31.573, 33.847, 33.837, 36.468, 40.25, 41.209 ] }, "ear_ehrm_sex_mts_nb__sex_t__mts_details_sep": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_details_sep", "label": "Median hourly earnings of employees: Total, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 31.168, 32.715, 34.535, 33.761, 37.328, 41.209, 43.956, 52.336 ] }, "ear_ehrm_sex_mts_nb__sex_t__mts_details_x": { "name": "ear_ehrm_sex_mts_nb__sex_t__mts_details_x", "label": "Median hourly earnings of employees: Total, Not elsewhere classified (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 34.214, null, null, null, null, null, null ], "withheld": [ "2020-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_mts_nb__sex_m__mts_aggregate_total": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_aggregate_total", "label": "Median hourly earnings of employees: Male, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_aggregate_1": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_aggregate_1", "label": "Median hourly earnings of employees: Male, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 35.032, 36.295, 38.748, 41.99, 44.458, 49.451, 52.25, 57.692 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_aggregate_2": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_aggregate_2", "label": "Median hourly earnings of employees: Male, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 49.451, 49.451, 52.961, 56.399, 59.537, 61.813, 65.934, 69.231 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_details_total": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_details_total", "label": "Median hourly earnings of employees: Male, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_details_sgle": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_details_sgle", "label": "Median hourly earnings of employees: Male, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 34.859, 36.478, 38.566, 41.987, 44.71, 49.451, 52.928, 57.692 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_details_mrd": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_details_mrd", "label": "Median hourly earnings of employees: Male, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 49.451, 49.451, 52.961, 56.399, 59.537, 61.813, 65.934, 69.231 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_details_wid": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_details_wid", "label": "Median hourly earnings of employees: Male, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 36.804, 34.03, 38.854, 42.462, 40.726, 41.209, 47.403, 49.451 ] }, "ear_ehrm_sex_mts_nb__sex_m__mts_details_sep": { "name": "ear_ehrm_sex_mts_nb__sex_m__mts_details_sep", "label": "Median hourly earnings of employees: Male, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 36.6, 39.671, 39.272, 42.528, 41.738, 43.578, 49.451, 58.654 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_aggregate_total": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_aggregate_total", "label": "Median hourly earnings of employees: Female, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_aggregate_1": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_aggregate_1", "label": "Median hourly earnings of employees: Female, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 28.877, 33.846, 33.532, 36.913, 38.912, 41.209, 43.956, 47.659 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_aggregate_2": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_aggregate_2", "label": "Median hourly earnings of employees: Female, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 30.451, 31.132, 33.744, 34.914, 37.512, 41.204, 41.667, 47.096 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_details_total": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_details_total", "label": "Median hourly earnings of employees: Female, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_details_sgle": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_details_sgle", "label": "Median hourly earnings of employees: Female, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 34.615, 40.214, 40.743, 48.973, 47.495, 50, 53.571, 57.692 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_details_mrd": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_details_mrd", "label": "Median hourly earnings of employees: Female, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 30.451, 31.132, 33.744, 34.914, 37.512, 41.204, 41.667, 47.096 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_details_wid": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_details_wid", "label": "Median hourly earnings of employees: Female, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 23.952, 27.355, 29.971, 33.251, 33.085, 35, 38.126, 41.209 ] }, "ear_ehrm_sex_mts_nb__sex_f__mts_details_sep": { "name": "ear_ehrm_sex_mts_nb__sex_f__mts_details_sep", "label": "Median hourly earnings of employees: Female, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 28.948, 31.802, 27.081, 30.573, 32.89, 39.394, 40.429, 47.645 ] }, "ear_ehrm_sex_mts_nb__sex_o__mts_aggregate_total": { "name": "ear_ehrm_sex_mts_nb__sex_o__mts_aggregate_total", "label": "Median hourly earnings of employees: Other, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_mts_nb__sex_o__mts_aggregate_2": { "name": "ear_ehrm_sex_mts_nb__sex_o__mts_aggregate_2", "label": "Median hourly earnings of employees: Other, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 89.897, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_mts_nb__sex_o__mts_details_total": { "name": "ear_ehrm_sex_mts_nb__sex_o__mts_details_total", "label": "Median hourly earnings of employees: Other, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_mts_nb__sex_o__mts_details_mrd": { "name": "ear_ehrm_sex_mts_nb__sex_o__mts_details_mrd", "label": "Median hourly earnings of employees: Other, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 89.897, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_nb__sex_t": { "name": "ear_ehrm_sex_nb__sex_t", "label": "Median hourly earnings of employees: Total", "unit": "inr", "group": "Sex", "color": "#2E4BD8", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_nb__sex_m": { "name": "ear_ehrm_sex_nb__sex_m", "label": "Median hourly earnings of employees: Male", "unit": "inr", "group": "Sex", "color": "#C47A16", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_nb__sex_f": { "name": "ear_ehrm_sex_nb__sex_f", "label": "Median hourly earnings of employees: Female", "unit": "inr", "group": "Sex", "color": "#5F6675", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_nb__sex_o": { "name": "ear_ehrm_sex_nb__sex_o", "label": "Median hourly earnings of employees: Other", "unit": "inr", "group": "Sex", "color": "#878D99", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_total": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_total", "label": "Median hourly earnings of employees: Total, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#2E4BD8", "data": [ 41.209, 41.209, 43.93, 48.092, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_l3_4": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_l3_4", "label": "Median hourly earnings of employees: Total, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C47A16", "data": [ 84.096, 82.418, 96.118, 94.133, 101.972, 113.122, 115.385, 123.626 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_l2": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_l2", "label": "Median hourly earnings of employees: Total, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#5F6675", "data": [ 36.865, 39.04, 41.351, 43.58, 46.255, 49.451, 52.982, 56.643 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_l1": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_l1", "label": "Median hourly earnings of employees: Total, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#878D99", "data": [ 27.479, 29.394, 31.932, 32.799, 35.623, 37.088, 41.209, 45.33 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_x": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_skill_x", "label": "Median hourly earnings of employees: Total, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#A3A9B4", "data": [ 25.002, 42.062, 53.1, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_total": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_total", "label": "Median hourly earnings of employees: Total, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 49.588, 53.571, 57.692, 61.813 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_1": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_1", "label": "Median hourly earnings of employees: Total, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 133.798, 144.231, 146.52, 164.835 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_2": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_2", "label": "Median hourly earnings of employees: Total, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 114.839, 123.626, 131.868, 131.868 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_3": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_3", "label": "Median hourly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 68.584, 74.176, 76.236, 82.418 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_4": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_4", "label": "Median hourly earnings of employees: Total, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 67.035, 74.176, 80.029, 76.923 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_5": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_5", "label": "Median hourly earnings of employees: Total, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 40.806, 42.445, 45.33, 49.451 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_6": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_6", "label": "Median hourly earnings of employees: Total, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 36.154, 36.63, 41.209, 41.209 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_7": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_7", "label": "Median hourly earnings of employees: Total, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 45.425, 49.451, 54.945, 57.692 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_8": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_8", "label": "Median hourly earnings of employees: Total, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 47.833, 49.451, 54.945, 59.341 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_9": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco08_9", "label": "Median hourly earnings of employees: Total, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 35.623, 37.088, 41.209, 45.33 ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_total": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_total", "label": "Median hourly earnings of employees: Total, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 41.209, 41.209, 43.93, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_1": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_1", "label": "Median hourly earnings of employees: Total, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 110.543, 113.313, 138.481, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_2": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_2", "label": "Median hourly earnings of employees: Total, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 98.229, 91.59, 107.449, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_3": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_3", "label": "Median hourly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 67.596, 61.951, 67.717, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_4": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_4", "label": "Median hourly earnings of employees: Total, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 61.813, 61.813, 64.019, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_5": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_5", "label": "Median hourly earnings of employees: Total, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 32.967, 32.967, 35.657, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_6": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_6", "label": "Median hourly earnings of employees: Total, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28.939, 34.789, 39.101, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_7": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_7", "label": "Median hourly earnings of employees: Total, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 35.804, 37.031, 42.122, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_8": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_8", "label": "Median hourly earnings of employees: Total, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 37.296, 40.426, 41.095, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_9": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_9", "label": "Median hourly earnings of employees: Total, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 27.479, 29.394, 31.932, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_x": { "name": "ear_ehrm_sex_ocu_nb__sex_t__ocu_isco88_x", "label": "Median hourly earnings of employees: Total, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25.002, 42.062, 53.1, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_total": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_total", "label": "Median hourly earnings of employees: Male, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, 49.451, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_l3_4": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_l3_4", "label": "Median hourly earnings of employees: Male, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 100.487, 97.036, 110.778, 107.015, 118.435, 123.626, 128.205, 134.346 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_l2": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_l2", "label": "Median hourly earnings of employees: Male, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 39.427, 41.087, 43.313, 46.328, 48.897, 51.382, 54.945, 59.398 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_l1": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_l1", "label": "Median hourly earnings of employees: Male, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 30.83, 33.698, 35.534, 37.014, 39.818, 41.209, 48.217, 50 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_x": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_skill_x", "label": "Median hourly earnings of employees: Male, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28.967, 44.164, 59.254, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_total": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_total", "label": "Median hourly earnings of employees: Male, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 53.431, 58.67, 61.813, 64.103 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_1": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_1", "label": "Median hourly earnings of employees: Male, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 130.566, 144.231, 146.46, 158.242 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_2": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_2", "label": "Median hourly earnings of employees: Male, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 135.357, 144.231, 144.231, 145.055 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_3": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_3", "label": "Median hourly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 76.954, 86.539, 88.757, 95.491 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_4": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_4", "label": "Median hourly earnings of employees: Male, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 72.236, 78.297, 82.418, 82.418 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_5": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_5", "label": "Median hourly earnings of employees: Male, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 42.523, 46.154, 49.451, 50.846 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_6": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_6", "label": "Median hourly earnings of employees: Male, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 41.347, 38.853, 43.269, 47.459 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_7": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_7", "label": "Median hourly earnings of employees: Male, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 45.96, 51.511, 56.099, 59.753 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_8": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_8", "label": "Median hourly earnings of employees: Male, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 48.364, 49.581, 54.945, 60 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_9": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco08_9", "label": "Median hourly earnings of employees: Male, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 39.818, 41.209, 48.217, 50 ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_total": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_total", "label": "Median hourly earnings of employees: Male, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 43.247, 43.963, 49.451, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_1": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_1", "label": "Median hourly earnings of employees: Male, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 111.568, 109.453, 139.075, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_2": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_2", "label": "Median hourly earnings of employees: Male, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 106.295, 100.586, 113.853, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_3": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_3", "label": "Median hourly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 82.974, 84.52, 90.049, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_4": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_4", "label": "Median hourly earnings of employees: Male, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 62.489, 62.816, 66.937, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_5": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_5", "label": "Median hourly earnings of employees: Male, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 35.113, 35.816, 39.173, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_6": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_6", "label": "Median hourly earnings of employees: Male, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28.791, 36.766, 42.007, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_7": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_7", "label": "Median hourly earnings of employees: Male, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 37.088, 39.343, 43.046, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_8": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_8", "label": "Median hourly earnings of employees: Male, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 37.704, 41.064, 41.892, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_9": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_9", "label": "Median hourly earnings of employees: Male, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 30.83, 33.698, 35.534, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_x": { "name": "ear_ehrm_sex_ocu_nb__sex_m__ocu_isco88_x", "label": "Median hourly earnings of employees: Male, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28.967, 44.164, 59.254, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_total": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_total", "label": "Median hourly earnings of employees: Female, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, 35.812, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_l3_4": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_l3_4", "label": "Median hourly earnings of employees: Female, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 52.675, 55.373, 64.42, 68.046, 68.043, 80.181, 82.418, 84.478 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_l2": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_l2", "label": "Median hourly earnings of employees: Female, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25.9, 29.276, 31.388, 33.609, 34.034, 39.148, 41.209, 41.209 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_l1": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_l1", "label": "Median hourly earnings of employees: Female, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 21, 24.282, 25.973, 29.299, 30.388, 32.967, 36, 38.598 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_x": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_skill_x", "label": "Median hourly earnings of employees: Female, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23.108, 39.893, 48.95, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_total": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_total", "label": "Median hourly earnings of employees: Female, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 37.741, 41.209, 42.386, 47.39 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_1": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_1", "label": "Median hourly earnings of employees: Female, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 159.457, 128.205, 148.784, 164.835 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_2": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_2", "label": "Median hourly earnings of employees: Female, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 74.893, 94.192, 103.022, 103.022 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_3": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_3", "label": "Median hourly earnings of employees: Female, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 44.654, 46.703, 49.451, 54.945 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_4": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_4", "label": "Median hourly earnings of employees: Female, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 56.004, 61.813, 61.813, 65.934 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_5": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_5", "label": "Median hourly earnings of employees: Female, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 31.469, 32.967, 35.299, 37.088 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_6": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_6", "label": "Median hourly earnings of employees: Female, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 26.169, 26.6, 28.929, 32.967 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_7": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_7", "label": "Median hourly earnings of employees: Female, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 31.946, 36.616, 41.209, 41.209 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_8": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_8", "label": "Median hourly earnings of employees: Female, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 37.129, 39.148, 41.209, 41.209 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_9": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco08_9", "label": "Median hourly earnings of employees: Female, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 30.388, 32.967, 36, 38.598 ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_total": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_total", "label": "Median hourly earnings of employees: Female, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 29.982, 31.636, 33.472, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_1": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_1", "label": "Median hourly earnings of employees: Female, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 106.021, 137.18, 102.211, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_2": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_2", "label": "Median hourly earnings of employees: Female, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 68.153, 70.392, 95.041, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_3": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_3", "label": "Median hourly earnings of employees: Female, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 39.217, 42.73, 45.522, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_4": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_4", "label": "Median hourly earnings of employees: Female, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 54.749, 53.707, 54.73, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_5": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_5", "label": "Median hourly earnings of employees: Female, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23.161, 26.442, 26.496, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_6": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_6", "label": "Median hourly earnings of employees: Female, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 24.679, 28.64, 31.76, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_7": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_7", "label": "Median hourly earnings of employees: Female, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23.038, 24.412, 30.331, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_8": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_8", "label": "Median hourly earnings of employees: Female, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 27.471, 26.497, 29.2, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_9": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_9", "label": "Median hourly earnings of employees: Female, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 21, 24.282, 25.973, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_x": { "name": "ear_ehrm_sex_ocu_nb__sex_f__ocu_isco88_x", "label": "Median hourly earnings of employees: Female, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23.108, 39.893, 48.95, null, null, null, null, null ] }, "ear_ehrm_sex_ocu_nb__sex_o__ocu_skill_total": { "name": "ear_ehrm_sex_ocu_nb__sex_o__ocu_skill_total", "label": "Median hourly earnings of employees: Other, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_ehrm_sex_ocu_nb__sex_o__ocu_skill_l3_4": { "name": "ear_ehrm_sex_ocu_nb__sex_o__ocu_skill_l3_4", "label": "Median hourly earnings of employees: Other, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 35.298, null, null, null, null, null, null, null ], "withheld": [ "2019-01-01", "2020-01-01", "2021-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01" ] } }, "ear_ehrm_sex_ocu_nb__sex_o__ocu_skill_l2": { "name": "ear_ehrm_sex_ocu_nb__sex_o__ocu_skill_l2", "label": "Median hourly earnings of employees: Other, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 29.003, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_ehrm_sex_ocu_nb__sex_o__ocu_isco88_total": { "name": "ear_ehrm_sex_ocu_nb__sex_o__ocu_isco88_total", "label": "Median hourly earnings of employees: Other, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23.517, 83.063, null, null, null, null, null, null ], "withheld": [ "2020-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_age_nb__sex_t__age_ythadult_yge15": { "name": "ear_emta_sex_age_nb__sex_t__age_ythadult_yge15", "label": "Average monthly earnings of employees: Total, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_age_nb__sex_t__age_ythadult_y15_24": { "name": "ear_emta_sex_age_nb__sex_t__age_ythadult_y15_24", "label": "Average monthly earnings of employees: Total, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C47A16", "data": [ 9222.638, 9515.836, 9774.528, 10931.399, 11285.036, 12009.941, 13007.668, 13740.097 ] }, "ear_emta_sex_age_nb__sex_t__age_ythadult_yge25": { "name": "ear_emta_sex_age_nb__sex_t__age_ythadult_yge25", "label": "Average monthly earnings of employees: Total, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#5F6675", "data": [ 16730.963, 16906.373, 18212.816, 18680.961, 20070.844, 21020.493, 22116.406, 23572.142 ] 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17947.608, 18524.776, 19892.535, 20919.386, 22023.791, 23584.704 ] }, "ear_emta_sex_age_nb__sex_t__age_aggregate_y55_64": { "name": "ear_emta_sex_age_nb__sex_t__age_aggregate_y55_64", "label": "Average monthly earnings of employees: Total, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 20801.238, 21313.076, 22275.432, 21902.8, 23933.597, 23969.599, 25259.917, 26139.924 ] }, "ear_emta_sex_age_nb__sex_t__age_aggregate_yge65": { "name": "ear_emta_sex_age_nb__sex_t__age_aggregate_yge65", "label": "Average monthly earnings of employees: Total, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 7741.751, 7977.488, 10301.614, 8704.365, 8636.815, 10306.273, 10235.746, 10396.007 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_yge15": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_yge15", "label": "Average monthly earnings of employees: Total, 15+ (10-year bands)", "unit": "inr", "group": "Sex and 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35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 15979.034, 15877.613, 17898.244, 18008.736, 19952.19, 20898.2, 22253.87, 23993.556 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_y45_54": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_y45_54", "label": "Average monthly earnings of employees: Total, 45-54 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 20218.625, 20261.903, 20734.384, 21686.076, 22394.269, 23376.383, 24330.524, 26025.117 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_y55_64": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_y55_64", "label": "Average monthly earnings of employees: Total, 55-64 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 20801.238, 21313.076, 22275.432, 21902.8, 23933.597, 23969.599, 25259.917, 26139.924 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_yge65": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_yge65", "label": "Average monthly earnings of employees: Total, 65+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 7741.751, 7977.488, 10301.614, 8704.365, 8636.815, 10306.273, 10235.746, 10396.007 ] }, "ear_emta_sex_age_nb__sex_m__age_ythadult_yge15": { "name": "ear_emta_sex_age_nb__sex_m__age_ythadult_yge15", "label": "Average monthly earnings of employees: Male, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_age_nb__sex_m__age_ythadult_y15_24": { "name": "ear_emta_sex_age_nb__sex_m__age_ythadult_y15_24", "label": "Average monthly earnings of employees: Male, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 9326.678, 9479.401, 9738.516, 10886.672, 11081.171, 12054.712, 13125.717, 13688.373 ] }, "ear_emta_sex_age_nb__sex_m__age_ythadult_yge25": { "name": "ear_emta_sex_age_nb__sex_m__age_ythadult_yge25", "label": "Average monthly earnings of employees: Male, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 18110.086, 18409.007, 19942.614, 20501.491, 21932.034, 23142.869, 24364.517, 25733.785 ] }, "ear_emta_sex_age_nb__sex_m__age_aggregate_yge15": { "name": "ear_emta_sex_age_nb__sex_m__age_aggregate_yge15", "label": "Average monthly earnings of employees: Male, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_age_nb__sex_m__age_aggregate_y15_24": { "name": "ear_emta_sex_age_nb__sex_m__age_aggregate_y15_24", "label": "Average monthly earnings of employees: Male, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 9326.678, 9479.401, 9738.516, 10886.672, 11081.171, 12054.712, 13125.717, 13688.373 ] }, "ear_emta_sex_age_nb__sex_m__age_aggregate_y25_54": { "name": "ear_emta_sex_age_nb__sex_m__age_aggregate_y25_54", "label": "Average monthly earnings of employees: Male, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 17681.288, 17929.425, 19503.313, 20111.773, 21567.75, 22742.39, 24012.62, 25511.934 ] }, "ear_emta_sex_age_nb__sex_m__age_aggregate_y55_64": { "name": "ear_emta_sex_age_nb__sex_m__age_aggregate_y55_64", "label": "Average monthly earnings of employees: Male, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 23732.294, 24338.734, 25531.897, 26212.809, 27464.588, 29076.028, 30065.525, 30611.057 ] }, "ear_emta_sex_age_nb__sex_m__age_aggregate_yge65": { "name": "ear_emta_sex_age_nb__sex_m__age_aggregate_yge65", "label": "Average monthly earnings of employees: Male, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 9615.557, 10126.45, 12694.505, 10568.223, 10975.787, 13321.473, 12837.467, 12442.716 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_yge15": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_yge15", "label": "Average monthly earnings of employees: Male, 15+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_y15_24": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_y15_24", "label": "Average monthly earnings of employees: Male, 15-24 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 9326.678, 9479.401, 9738.516, 10886.672, 11081.171, 12054.712, 13125.717, 13688.373 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_y25_34": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_y25_34", "label": "Average monthly earnings of employees: Male, 25-34 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 15228.383, 15495.224, 16761.641, 17495.349, 18878.963, 19912.488, 20955.723, 22352.082 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_y35_44": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_y35_44", "label": "Average monthly earnings of employees: Male, 35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 17698.67, 17984.123, 20009.01, 20518.462, 22395.999, 23750.225, 25328.027, 26812.87 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_y45_54": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_y45_54", "label": "Average monthly earnings of employees: Male, 45-54 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 22032.465, 22537.263, 23549.571, 24436.36, 25809.82, 26828.509, 28094.248, 29789.714 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_y55_64": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_y55_64", "label": "Average monthly earnings of employees: Male, 55-64 (10-year 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monthly earnings of employees: Female, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 8775.873, 9644.147, 9920.744, 11117.207, 12075.512, 11848.082, 12553.552, 13926.52 ] }, "ear_emta_sex_age_nb__sex_f__age_ythadult_yge25": { "name": "ear_emta_sex_age_nb__sex_f__age_ythadult_yge25", "label": "Average monthly earnings of employees: Female, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 12260.444, 12531.838, 13139.873, 13489.13, 14668.667, 15458.81, 16150.511, 17879.551 ] }, "ear_emta_sex_age_nb__sex_f__age_aggregate_yge15": { "name": "ear_emta_sex_age_nb__sex_f__age_aggregate_yge15", "label": "Average monthly earnings of employees: Female, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_age_nb__sex_f__age_aggregate_y15_24": { "name": "ear_emta_sex_age_nb__sex_f__age_aggregate_y15_24", "label": "Average monthly earnings of employees: Female, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 8775.873, 9644.147, 9920.744, 11117.207, 12075.512, 11848.082, 12553.552, 13926.52 ] }, "ear_emta_sex_age_nb__sex_f__age_aggregate_y25_54": { "name": "ear_emta_sex_age_nb__sex_f__age_aggregate_y25_54", "label": "Average monthly earnings of employees: Female, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 12579.85, 12709.345, 13351.664, 13880.983, 14938.411, 16014.041, 16622.745, 18404.458 ] }, "ear_emta_sex_age_nb__sex_f__age_aggregate_y55_64": { "name": "ear_emta_sex_age_nb__sex_f__age_aggregate_y55_64", "label": "Average monthly earnings of employees: Female, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 10819.387, 12668.801, 12728.651, 11518.143, 14509.69, 12600.375, 14257.085, 15876.63 ] }, "ear_emta_sex_age_nb__sex_f__age_aggregate_yge65": { "name": "ear_emta_sex_age_nb__sex_f__age_aggregate_yge65", "label": "Average monthly earnings of employees: Female, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3420.665, 4329.082, 5562.359, 5561.294, 4649.759, 5699.386, 5569.645, 6286.614 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_yge15": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_yge15", "label": "Average monthly earnings of employees: Female, 15+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_y15_24": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_y15_24", "label": "Average monthly earnings of employees: Female, 15-24 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 8775.873, 9644.147, 9920.744, 11117.207, 12075.512, 11848.082, 12553.552, 13926.52 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_y25_34": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_y25_34", "label": "Average monthly earnings of employees: Female, 25-34 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 12552.698, 14321.879, 14601.97, 15765.404, 16971.018, 18484.786, 19220.768, 20284.174 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_y35_44": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_y35_44", "label": "Average monthly earnings of employees: Female, 35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 11064.638, 10651.234, 12550.427, 12183.425, 13498.82, 14289.958, 14650.204, 17346.158 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_y45_54": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_y45_54", "label": "Average monthly earnings of employees: Female, 45-54 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 14848.446, 13690.756, 12867.311, 14182.535, 14354.312, 15339.846, 15922.048, 17448.314 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_y55_64": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_y55_64", "label": "Average monthly earnings of employees: Female, 55-64 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 10819.387, 12668.801, 12728.651, 11518.143, 14509.69, 12600.375, 14257.085, 15876.63 ] }, "ear_emta_sex_age_nb__sex_f__age_10yrbands_yge65": { "name": "ear_emta_sex_age_nb__sex_f__age_10yrbands_yge65", "label": "Average monthly earnings of employees: Female, 65+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3420.665, 4329.082, 5562.359, 5561.294, 4649.759, 5699.386, 5569.645, 6286.614 ] }, "ear_emta_sex_age_nb__sex_o__age_ythadult_yge15": { "name": "ear_emta_sex_age_nb__sex_o__age_ythadult_yge15", "label": "Average monthly earnings of employees: Other, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_age_nb__sex_o__age_ythadult_yge25": { "name": "ear_emta_sex_age_nb__sex_o__age_ythadult_yge25", "label": "Average monthly earnings of employees: Other, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ null, 42645.389, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_emta_sex_age_nb__sex_o__age_aggregate_yge15": { "name": "ear_emta_sex_age_nb__sex_o__age_aggregate_yge15", "label": "Average monthly earnings of employees: Other, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_age_nb__sex_o__age_aggregate_y25_54": { "name": "ear_emta_sex_age_nb__sex_o__age_aggregate_y25_54", "label": "Average monthly earnings of employees: Other, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ null, 42645.389, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_emta_sex_age_nb__sex_o__age_10yrbands_yge15": { "name": "ear_emta_sex_age_nb__sex_o__age_10yrbands_yge15", "label": "Average monthly earnings of employees: Other, 15+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_eco_nb__sex_t__eco_sector_total": { "name": "ear_emta_sex_eco_nb__sex_t__eco_sector_total", "label": "Average monthly earnings of employees: Total, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_eco_nb__sex_t__eco_sector_agr": { "name": "ear_emta_sex_eco_nb__sex_t__eco_sector_agr", "label": "Average monthly earnings of employees: Total, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C47A16", "data": [ 7338.901, 8480.672, 7831.339, 8800.312, 9699.752, 8931.048, 9629.585, 11827.221 ] }, "ear_emta_sex_eco_nb__sex_t__eco_sector_nag": { "name": "ear_emta_sex_eco_nb__sex_t__eco_sector_nag", "label": "Average monthly earnings of employees: Total, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#5F6675", "data": [ 15869.581, 15932.853, 17250.939, 17831.199, 19020.566, 20072.801, 21058.857, 22477.235 ] }, "ear_emta_sex_eco_nb__sex_t__eco_sector_ind": { "name": "ear_emta_sex_eco_nb__sex_t__eco_sector_ind", "label": "Average monthly earnings of employees: Total, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#878D99", "data": [ 13087.058, 13350.293, 14155.529, 14640.807, 15248.646, 15990.628, 17361.629, 19165.18 ] }, "ear_emta_sex_eco_nb__sex_t__eco_sector_ser": { "name": "ear_emta_sex_eco_nb__sex_t__eco_sector_ser", "label": "Average monthly earnings of employees: Total, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#A3A9B4", "data": [ 17088.723, 17090.375, 18719.437, 19343.46, 20739.698, 22059.637, 22755.541, 23949.68 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_total": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_total", "label": "Average monthly earnings of employees: Total, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_agr": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_agr", "label": "Average monthly earnings of employees: Total, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 7338.901, 8480.672, 7831.339, 8800.312, 9699.752, 8931.048, 9629.585, 11827.221 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_man": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_man", "label": "Average monthly earnings of employees: Total, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12775.009, 13657.299, 14633.556, 14635.878, 15233.493, 16145.109, 17517.057, 18793.973 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_con": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_con", "label": "Average monthly earnings of employees: Total, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9338.786, 8673.816, 9227.424, 11260.133, 11501.433, 11634.364, 13472.541, 16111.356 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_mel": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_mel", "label": "Average monthly earnings of employees: Total, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22330.884, 22636.745, 22738.653, 23178.541, 22704.116, 24745.453, 25520.566, 27890.869 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_mkt": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_mkt", "label": "Average monthly earnings of employees: Total, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15999.706, 16414.622, 17696.169, 18962.058, 20557.633, 22017.861, 22653.313, 23918.981 ] }, "ear_emta_sex_eco_nb__sex_t__eco_aggregate_pub": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_pub", "label": "Average monthly earnings of employees: Total, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 18264.489, 17868.783, 19852.348, 19784.656, 20956.355, 22108.37, 22880.576, 23987.799 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_total": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_total", "label": "Average monthly earnings of employees: Total, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_a": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_a", "label": "Average monthly earnings of employees: Total, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 7338.901, 8480.672, 7831.339, 8800.312, 9699.752, 8931.048, 9629.585, 11827.221 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_b": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_b", "label": "Average monthly earnings of employees: Total, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25793.994, 26573.395, 26158.112, 28096.187, 23954.472, 32020.478, 31890.094, 29951.363 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_c": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_c", "label": "Average monthly earnings of employees: Total, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12775.009, 13657.299, 14633.556, 14635.878, 15233.493, 16145.109, 17517.057, 18793.973 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_d": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_d", "label": "Average monthly earnings of employees: Total, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23716.724, 25627.043, 24079.942, 23972.453, 26227.472, 23250.267, 27330.302, 31748.911 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_e": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_e", "label": "Average monthly earnings of employees: Total, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15517.531, 14047.972, 17318.571, 17593.471, 16451.921, 19790.382, 17242.515, 19765.184 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_f": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_f", "label": "Average monthly earnings of employees: Total, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9338.786, 8673.816, 9227.424, 11260.133, 11501.433, 11634.364, 13472.541, 16111.356 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_g": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_g", "label": "Average monthly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10116.927, 10861.213, 10894.713, 11551.81, 12403.261, 13747.457, 13994.884, 14806.009 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_h": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_h", "label": "Average monthly earnings of employees: Total, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14172.033, 15250.128, 16195.696, 16736.6, 18015.563, 18808.98, 20366.5, 21403.355 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_i": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_i", "label": "Average monthly earnings of employees: Total, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10426.091, 11161.605, 11442.937, 11667.745, 12586.163, 13181.462, 14742.206, 15539.633 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_j": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_j", "label": "Average monthly earnings of employees: Total, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 28213.045, 29542.527, 33723.301, 34596.524, 40811.749, 43077.044, 45844.358, 47032 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_k": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_k", "label": "Average monthly earnings of employees: Total, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24466.655, 24917.042, 25660.711, 27139.756, 28757.721, 30226.252, 30573.842, 33914.844 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_l": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_l", "label": "Average monthly earnings of employees: Total, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 18148.488, 17368.104, 16942.703, 15766.617, 17418.352, 23218.136, 21039.619, 24676.636 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_m": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_m", "label": "Average monthly earnings of employees: Total, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24416.445, 24562.434, 28316.58, 29037.595, 28506.517, 28551.82, 31395.562, 35285.294 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_n": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_n", "label": "Average monthly earnings of employees: Total, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14893.44, 15528.302, 15510.121, 16850.64, 17654.659, 17699.662, 20260.119, 19379.255 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_o": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_o", "label": "Average monthly earnings of employees: Total, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24439.478, 25776.97, 25036.327, 26853.212, 29653.295, 30673.949, 33824.848, 35344.566 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_p": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_p", "label": "Average monthly earnings of employees: Total, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 20661.955, 19964.489, 23625.284, 24115.837, 25480.462, 26392.387, 27766.179, 28884.082 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_q": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_q", "label": "Average monthly earnings of employees: Total, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 17846.963, 17184.583, 20371.902, 18331.585, 17461.81, 21513.959, 19978.762, 21887.194 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_r": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_r", "label": "Average monthly earnings of employees: Total, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14383.285, 18112.228, 12866.453, 15239.681, 13703.973, 17100.511, 19114.175, 18754.205 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_s": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_s", "label": "Average monthly earnings of employees: Total, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8187.56, 8540.1, 8369.662, 9229.66, 9227.464, 10597.697, 12046.519, 11572.45 ] }, "ear_emta_sex_eco_nb__sex_t__eco_isic4_t": { "name": "ear_emta_sex_eco_nb__sex_t__eco_isic4_t", "label": "Average monthly earnings of employees: Total, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6116.025, 6475.15, 6017.338, 6529.497, 6736.385, 7572.043, 7751.732, 8722.243 ] }, "ear_emta_sex_eco_nb__sex_m__eco_sector_total": { "name": "ear_emta_sex_eco_nb__sex_m__eco_sector_total", "label": "Average monthly earnings of employees: Male, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_eco_nb__sex_m__eco_sector_agr": { "name": "ear_emta_sex_eco_nb__sex_m__eco_sector_agr", "label": "Average monthly earnings of employees: Male, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8255.01, 10307.106, 9350.802, 10675.38, 12022.744, 11053.431, 11682.203, 14224.665 ] }, "ear_emta_sex_eco_nb__sex_m__eco_sector_nag": { "name": "ear_emta_sex_eco_nb__sex_m__eco_sector_nag", "label": "Average monthly earnings of employees: Male, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16993.933, 17125.355, 18622.161, 19230.679, 20429.398, 21720.646, 22816.815, 24168.715 ] }, "ear_emta_sex_eco_nb__sex_m__eco_sector_ind": { "name": "ear_emta_sex_eco_nb__sex_m__eco_sector_ind", "label": "Average monthly earnings of employees: Male, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14154.688, 14741.203, 15649.73, 16070.36, 16422.171, 17722.89, 19107.256, 20570.806 ] }, "ear_emta_sex_eco_nb__sex_m__eco_sector_ser": { "name": "ear_emta_sex_eco_nb__sex_m__eco_sector_ser", "label": "Average monthly earnings of employees: Male, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 18433.665, 18314.583, 20191.601, 20951.144, 22571.232, 23940.901, 24795.238, 26118.63 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_total": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_total", "label": "Average monthly earnings of employees: Male, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_agr": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_agr", "label": "Average monthly earnings of employees: Male, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8255.01, 10307.106, 9350.802, 10675.38, 12022.744, 11053.431, 11682.203, 14224.665 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_man": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_man", "label": "Average monthly earnings of employees: Male, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13340.765, 14274.544, 15318.79, 15237.606, 15796.705, 16912.703, 18460.236, 19731.144 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_con": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_con", "label": "Average monthly earnings of employees: Male, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12079.491, 11871.148, 12426.686, 15368.079, 15081.732, 16630.422, 18588.795, 19856.222 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_mel": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_mel", "label": "Average monthly earnings of employees: Male, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22743.157, 23567.929, 22721.841, 23837.466, 22918.389, 25537.377, 25641.822, 28172.917 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_mkt": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_mkt", "label": "Average monthly earnings of employees: Male, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15953.598, 16215.062, 17462.459, 18809.4, 20337.364, 21780.724, 22483.566, 23824.945 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_pub": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_pub", "label": "Average monthly earnings of employees: Male, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22629.194, 22147.627, 24915.398, 24976.49, 26877.835, 28045.696, 29434.305, 30864.272 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_total": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_total", "label": "Average monthly earnings of employees: Male, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_a": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_a", "label": "Average monthly earnings of employees: Male, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8255.01, 10307.106, 9350.802, 10675.38, 12022.744, 11053.431, 11682.203, 14224.665 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_b": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_b", "label": "Average monthly earnings of employees: Male, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25635.01, 27045.547, 25657.605, 28577.153, 23507.46, 32379.739, 32274.738, 30103.025 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_c": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_c", "label": "Average monthly earnings of employees: Male, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13340.765, 14274.544, 15318.79, 15237.606, 15796.705, 16912.703, 18460.236, 19731.144 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_d": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_d", "label": "Average monthly earnings of employees: Male, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23673.544, 26015.318, 23924.431, 23842.443, 26182.16, 23372.451, 26454.237, 31422.027 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_e": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_e", "label": "Average monthly earnings of employees: Male, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16874.384, 14827.434, 17684.684, 18861.748, 17263.522, 21826.333, 17890.743, 20438.606 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_f": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_f", "label": "Average monthly earnings of employees: Male, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12079.491, 11871.148, 12426.686, 15368.079, 15081.732, 16630.422, 18588.795, 19856.222 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_g": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_g", "label": "Average monthly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10249.368, 11099.942, 11027.709, 11781.779, 12563.292, 14062.691, 14424.19, 15271.209 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_h": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_h", "label": "Average monthly earnings of employees: Male, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13972.517, 15164.011, 16052.095, 16623.57, 17929.031, 18395.593, 20076.955, 21221.392 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_i": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_i", "label": "Average monthly earnings of employees: Male, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10873.186, 11905.094, 11938.86, 12023.968, 13248.873, 13856.851, 15391.133, 16377.358 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_j": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_j", "label": "Average monthly earnings of employees: Male, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 29343.59, 30205.14, 34436.301, 35518.061, 42384.371, 44532.878, 47239.531, 48897.104 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_k": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_k", "label": "Average monthly earnings of employees: Male, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24347.476, 25023.957, 26011.448, 27641.444, 29083.256, 31022.217, 30846.436, 34733.637 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_l": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_l", "label": "Average monthly earnings of employees: Male, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 18366.178, 18873.66, 17564.83, 16709.592, 17855.343, 24053.699, 20052.556, 23440.59 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_m": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_m", "label": "Average monthly earnings of employees: Male, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25640.818, 24382.941, 29093.624, 29518.888, 28579.011, 29719.03, 32749.555, 35267.842 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_n": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_n", "label": "Average monthly earnings of employees: Male, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15109.604, 15372.654, 15713.44, 16782.441, 18295.164, 17881.512, 21274.948, 19816.145 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_o": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_o", "label": "Average monthly earnings of employees: Male, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25759.637, 27086.06, 26985.176, 28691.614, 31615.871, 33085.138, 35507.978, 37591.805 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_p": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_p", "label": "Average monthly earnings of employees: Male, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25189.959, 24691.788, 29243.021, 29723.871, 32063.987, 31963.494, 34391.744, 36151.746 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_q": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_q", "label": "Average monthly earnings of employees: Male, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21562.228, 20104.303, 26040.549, 22939.575, 21588.878, 28374.668, 24782.465, 28206.809 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_r": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_r", "label": "Average monthly earnings of employees: Male, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14454.959, 17504.793, 12637.434, 15533.214, 14375.836, 18029.266, 19990.377, 19419.395 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_s": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_s", "label": "Average monthly earnings of employees: Male, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10535.715, 10051.595, 9902.32, 10612.387, 10817.525, 12088.408, 13286.81, 13453.987 ] }, "ear_emta_sex_eco_nb__sex_m__eco_isic4_t": { "name": "ear_emta_sex_eco_nb__sex_m__eco_isic4_t", "label": "Average monthly earnings of employees: Male, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9752.665, 9632.348, 9623.152, 10758.552, 10385.967, 11767.986, 12310.177, 13677.26 ] }, "ear_emta_sex_eco_nb__sex_f__eco_sector_total": { "name": "ear_emta_sex_eco_nb__sex_f__eco_sector_total", "label": "Average monthly earnings of employees: Female, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_eco_nb__sex_f__eco_sector_agr": { "name": "ear_emta_sex_eco_nb__sex_f__eco_sector_agr", "label": "Average monthly earnings of employees: Female, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5063.586, 4933.667, 4414.813, 5768.875, 6146.061, 6372.683, 6842.315, 7847.172 ] }, "ear_emta_sex_eco_nb__sex_f__eco_sector_nag": { "name": "ear_emta_sex_eco_nb__sex_f__eco_sector_nag", "label": "Average monthly earnings of employees: Female, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12057.875, 12330.257, 13024.345, 13555.306, 14682.419, 15457.152, 16068.484, 17775.015 ] }, "ear_emta_sex_eco_nb__sex_f__eco_sector_ind": { "name": "ear_emta_sex_eco_nb__sex_f__eco_sector_ind", "label": "Average monthly earnings of employees: Female, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6882.083, 7539.199, 7748.504, 7864.394, 9096.61, 8896.592, 9530.865, 11788.104 ] }, "ear_emta_sex_eco_nb__sex_f__eco_sector_ser": { "name": "ear_emta_sex_eco_nb__sex_f__eco_sector_ser", "label": "Average monthly earnings of employees: Female, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13325.223, 13839.66, 14768.012, 15228.757, 16119.078, 17576.991, 17913.633, 19145.09 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_total": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_total", "label": "Average monthly earnings of employees: Female, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_agr": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_agr", "label": "Average monthly earnings of employees: Female, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5063.586, 4933.667, 4414.813, 5768.875, 6146.061, 6372.683, 6842.315, 7847.172 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_man": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_man", "label": "Average monthly earnings of employees: Female, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8288.163, 9800.723, 10009.108, 10041.051, 10908.734, 11306.282, 11196.022, 12926.085 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_con": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_con", "label": "Average monthly earnings of employees: Female, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3721.745, 4111.171, 4803.283, 5139.166, 5943.448, 5799.495, 6288.467, 7691.23 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_mel": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_mel", "label": "Average monthly earnings of employees: Female, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 17078.798, 15390.097, 23002.841, 15952.698, 19806.407, 15661.145, 24296.378, 24536.909 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_mkt": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_mkt", "label": "Average monthly earnings of employees: Female, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16382.508, 17818.984, 19392.415, 20022.353, 22003.237, 23440.323, 23642.623, 24412.992 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_pub": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_pub", "label": "Average monthly earnings of employees: Female, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12499.156, 12561.216, 13351.539, 13727.425, 14125.186, 15514.255, 15774.707, 17020.741 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_total": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_total", "label": "Average monthly earnings of employees: Female, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_a": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_a", "label": "Average monthly earnings of employees: Female, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5063.586, 4933.667, 4414.813, 5768.875, 6146.061, 6372.683, 6842.315, 7847.172 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_b": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_b", "label": "Average monthly earnings of employees: Female, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 28935.766, 20743.856, 40279.454, 16522.093, 42009.74, 24501.289, 23380.873, 26256.587 ], "flags": { "U": [ "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_c": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_c", "label": "Average monthly earnings of employees: Female, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8288.163, 9800.723, 10009.108, 10041.051, 10908.734, 11306.282, 11196.022, 12926.085 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_d": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_d", "label": "Average monthly earnings of employees: Female, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24487.754, 20229.788, 26940.788, 26764.865, 26912.694, 20764.968, 37626.002, 36913.941 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_e": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_e", "label": "Average monthly earnings of employees: Female, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6966.677, 11370.057, 13911.78, 11861.548, 10354.98, 10709.311, 13526.212, 15684.201 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_f": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_f", "label": "Average monthly earnings of employees: Female, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3721.745, 4111.171, 4803.283, 5139.166, 5943.448, 5799.495, 6288.467, 7691.23 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_g": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_g", "label": "Average monthly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8821.738, 8942.923, 9646.633, 9733.145, 10977.044, 11445.015, 10801.72, 11841.573 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_h": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_h", "label": "Average monthly earnings of employees: Female, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 20927.134, 19328.703, 20103.92, 19896.793, 20966.198, 30138.27, 27033.063, 25573.25 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_i": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_i", "label": "Average monthly earnings of employees: Female, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 7994.207, 6992.985, 8005.909, 9020.399, 9052.84, 8984.633, 11479.581, 11910.722 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_j": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_j", "label": "Average monthly earnings of employees: Female, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22998.478, 27296.879, 31391.998, 31496.272, 35714.617, 38607.383, 41662.893, 41947.902 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_k": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_k", "label": "Average monthly earnings of employees: Female, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25074.588, 24600.828, 23991.682, 24514.149, 27339.59, 27232.749, 29485.576, 30917.827 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_l": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_l", "label": "Average monthly earnings of employees: Female, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16153.335, 10968.833, 14176.02, 9438.754, 14324.755, 18085.257, 26974.731, 32013.56 ], "flags": { "U": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01" ] } }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_m": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_m", "label": "Average monthly earnings of employees: Female, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 18807.387, 25350.676, 25729.929, 26897.871, 28296.4, 25203.862, 27872.679, 35340.855 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_n": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_n", "label": "Average monthly earnings of employees: Female, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13530.904, 16561.028, 14428.768, 17194.909, 14888.338, 16678.427, 15696.136, 17817.11 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_o": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_o", "label": "Average monthly earnings of employees: Female, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 17572.202, 19937.896, 16697.286, 18781.291, 21133.121, 21123.815, 27495.283, 26352.397 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_p": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_p", "label": "Average monthly earnings of employees: Female, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15454.333, 15189.181, 17840.123, 18407.84, 18603.554, 20819.894, 20782.714, 22371.558 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_q": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_q", "label": "Average monthly earnings of employees: Female, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14699.081, 14029.665, 14636.111, 14957.271, 14806.832, 16756.406, 16390.161, 17920.282 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_r": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_r", "label": "Average monthly earnings of employees: Female, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13997.764, 21165.022, 14231.013, 12812.524, 9204.535, 12874.569, 15551.848, 14970.432 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_s": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_s", "label": "Average monthly earnings of employees: Female, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4932.589, 5980.453, 5835.144, 6291.451, 6184.806, 7471.654, 9875.898, 8515.29 ] }, "ear_emta_sex_eco_nb__sex_f__eco_isic4_t": { "name": "ear_emta_sex_eco_nb__sex_f__eco_isic4_t", "label": "Average monthly earnings of employees: Female, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4374.016, 4928.221, 4721.783, 4834.209, 5232.896, 5806.769, 6108.971, 6668.87 ] }, "ear_emta_sex_eco_nb__sex_o__eco_sector_total": { "name": "ear_emta_sex_eco_nb__sex_o__eco_sector_total", "label": "Average monthly earnings of employees: Other, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_eco_nb__sex_o__eco_sector_nag": { "name": "ear_emta_sex_eco_nb__sex_o__eco_sector_nag", "label": "Average monthly earnings of employees: Other, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_eco_nb__sex_o__eco_sector_ser": { "name": "ear_emta_sex_eco_nb__sex_o__eco_sector_ser", "label": "Average monthly earnings of employees: Other, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6892.875, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_eco_nb__sex_o__eco_aggregate_total": { "name": "ear_emta_sex_eco_nb__sex_o__eco_aggregate_total", "label": "Average monthly earnings of employees: Other, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_eco_nb__sex_o__eco_aggregate_pub": { "name": "ear_emta_sex_eco_nb__sex_o__eco_aggregate_pub", "label": "Average monthly earnings of employees: Other, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6892.875, 52328.977, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_eco_nb__sex_o__eco_isic4_total": { "name": "ear_emta_sex_eco_nb__sex_o__eco_isic4_total", "label": "Average monthly earnings of employees: Other, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_edu_nb__sex_t__edu_aggregate_total": { "name": "ear_emta_sex_edu_nb__sex_t__edu_aggregate_total", "label": "Average monthly earnings of employees: Total, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_edu_nb__sex_t__edu_aggregate_ltb": { "name": "ear_emta_sex_edu_nb__sex_t__edu_aggregate_ltb", "label": "Average monthly earnings of employees: Total, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C47A16", "data": [ 6817.565, 7254.215, 7570.134, 7850.603, 8612.544, 8538.465, 9156.807, 9787.93 ] }, "ear_emta_sex_edu_nb__sex_t__edu_aggregate_bas": { "name": "ear_emta_sex_edu_nb__sex_t__edu_aggregate_bas", "label": "Average monthly earnings of employees: Total, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#5F6675", "data": [ 10460.851, 10898.547, 11356.855, 11956.47, 12089.579, 12771.185, 13725.84, 14318.145 ] }, "ear_emta_sex_edu_nb__sex_t__edu_aggregate_int": { "name": "ear_emta_sex_edu_nb__sex_t__edu_aggregate_int", "label": "Average monthly earnings of employees: Total, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#878D99", "data": [ 15937.832, 15908.457, 16569.7, 16965.08, 17313.503, 18590.049, 19060.765, 20226.843 ] }, "ear_emta_sex_edu_nb__sex_t__edu_aggregate_adv": { "name": "ear_emta_sex_edu_nb__sex_t__edu_aggregate_adv", "label": "Average monthly earnings of employees: Total, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#A3A9B4", "data": [ 25974.693, 25861.833, 28550.789, 28749.105, 31431.299, 32985.668, 34013.655, 36280.317 ] }, "ear_emta_sex_edu_nb__sex_t__edu_aggregate_x": { "name": "ear_emta_sex_edu_nb__sex_t__edu_aggregate_x", "label": "Average monthly earnings of employees: Total, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 11553.438, null, null, null, null, null, null ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_total": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_total", "label": "Average monthly earnings of employees: Total, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_x": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_x", "label": "Average monthly earnings of employees: Total, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6496.565, 7030.969, 7230.519, 7556.114, 8238.841, 8100.625, 8666.174, 9191.992 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_0": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_0", "label": "Average monthly earnings of employees: Total, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 7843.973, 7898.959, 8454.226, 8623.383, 9562.925, 9611.001, 10638.614, 11276.543 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_1": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_1", "label": "Average monthly earnings of employees: Total, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 8418.002, 8660.046, 9516.932, 9639.453, 9911.904, 10537.99, 11820.232, 12372.478 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_2": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_2", "label": "Average monthly earnings of employees: Total, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11023.014, 11489.702, 11864.876, 12577.804, 12701.128, 13430.627, 14288.986, 14905.045 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_3": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_3", "label": "Average monthly earnings of employees: Total, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 14845.509, 14963.47, 15396.749, 15581.265, 15965.022, 17424.02, 17412.359, 18447.068 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_4": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_4", "label": "Average monthly earnings of employees: Total, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 19384.748, 19400.182, 20492.131, 21267.262, 21854.096, 22138.601, 24007.093, 25639.053 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_5": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_5", "label": "Average monthly earnings of employees: Total, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 23768.92, 23180.172, 25660.581, 25641.305, 28529.948, 29800.32, 31248.2, 32586.045 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_6": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_6", "label": "Average monthly earnings of employees: Total, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 30645.737, 31847.359, 34857.505, 35670.594, 38526.123, 40659.304, 41068.033, 45298.255 ] }, "ear_emta_sex_edu_nb__sex_t__edu_isced97_unk": { "name": "ear_emta_sex_edu_nb__sex_t__edu_isced97_unk", "label": "Average monthly earnings of employees: Total, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 11553.438, null, null, null, null, null, null ] }, "ear_emta_sex_edu_nb__sex_m__edu_aggregate_total": { "name": "ear_emta_sex_edu_nb__sex_m__edu_aggregate_total", "label": "Average monthly earnings of employees: Male, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_edu_nb__sex_m__edu_aggregate_ltb": { "name": "ear_emta_sex_edu_nb__sex_m__edu_aggregate_ltb", "label": "Average monthly earnings of employees: Male, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 8608.614, 9231.435, 9656.057, 10026.62, 11104.251, 11191.344, 12064.842, 12543.232 ] }, "ear_emta_sex_edu_nb__sex_m__edu_aggregate_bas": { "name": "ear_emta_sex_edu_nb__sex_m__edu_aggregate_bas", "label": "Average monthly earnings of employees: Male, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11316.759, 11922.923, 12382.321, 13051.199, 13247.578, 14205.075, 15183.89, 15794.577 ] }, "ear_emta_sex_edu_nb__sex_m__edu_aggregate_int": { "name": "ear_emta_sex_edu_nb__sex_m__edu_aggregate_int", "label": "Average monthly earnings of employees: Male, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 16685.752, 16664.433, 17240.297, 17904.208, 18165.887, 19620.704, 20164.568, 21406.517 ] }, "ear_emta_sex_edu_nb__sex_m__edu_aggregate_adv": { "name": "ear_emta_sex_edu_nb__sex_m__edu_aggregate_adv", "label": "Average monthly earnings of employees: Male, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 27267.807, 27216.041, 29917.125, 30243.258, 33260.533, 34540.752, 35605.473, 38210.937 ] }, "ear_emta_sex_edu_nb__sex_m__edu_aggregate_x": { "name": "ear_emta_sex_edu_nb__sex_m__edu_aggregate_x", "label": "Average monthly earnings of employees: Male, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 13157.646, null, null, null, null, null, null ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_total": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_total", "label": "Average monthly earnings of employees: Male, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_x": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_x", "label": "Average monthly earnings of employees: Male, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 8296.294, 9158.044, 9481.79, 9963.26, 10890.374, 10700.796, 11830.508, 12038.392 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_0": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_0", "label": "Average monthly earnings of employees: Male, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 9414.436, 9381.35, 9985.697, 10147.155, 11516.321, 12128.644, 12538.532, 13567.754 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_1": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_1", "label": "Average monthly earnings of employees: Male, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 9344.114, 9847.274, 10757.433, 10969.13, 11147.911, 12255.841, 13792.675, 14134.441 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_2": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_2", "label": "Average monthly earnings of employees: Male, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11810.793, 12418.344, 12794.168, 13542.728, 13772.936, 14698.761, 15541.073, 16233.92 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_3": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_3", "label": "Average monthly earnings of employees: Male, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 15714.521, 15786.77, 16113.321, 16541.966, 16994.032, 18656.243, 18606.42, 19763.451 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_4": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_4", "label": "Average monthly earnings of employees: Male, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 19812.723, 19879.374, 20970.08, 22159.787, 22155.137, 22536.039, 24678.147, 26399.287 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_5": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_5", "label": "Average monthly earnings of employees: Male, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 24995.49, 24727.318, 26782.037, 27007.693, 30118.001, 31197.664, 32554.105, 34336.581 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_6": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_6", "label": "Average monthly earnings of employees: Male, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 32574.798, 33564.478, 37635.161, 38278.208, 41963.766, 43674.609, 44422.379, 48989.786 ] }, "ear_emta_sex_edu_nb__sex_m__edu_isced97_unk": { "name": "ear_emta_sex_edu_nb__sex_m__edu_isced97_unk", "label": "Average monthly earnings of employees: Male, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 13157.646, null, null, null, null, null, null ] }, "ear_emta_sex_edu_nb__sex_f__edu_aggregate_total": { "name": "ear_emta_sex_edu_nb__sex_f__edu_aggregate_total", "label": "Average monthly earnings of employees: Female, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_edu_nb__sex_f__edu_aggregate_ltb": { "name": "ear_emta_sex_edu_nb__sex_f__edu_aggregate_ltb", "label": "Average monthly earnings of employees: Female, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 4488.415, 5018.941, 5270.243, 5595.258, 5737.37, 5909.489, 6676.753, 7037.099 ] }, "ear_emta_sex_edu_nb__sex_f__edu_aggregate_bas": { "name": "ear_emta_sex_edu_nb__sex_f__edu_aggregate_bas", "label": "Average monthly earnings of employees: Female, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6435.184, 6564.023, 7243.678, 7475.035, 7475.198, 7957.134, 8495.796, 9107.117 ] }, "ear_emta_sex_edu_nb__sex_f__edu_aggregate_int": { "name": "ear_emta_sex_edu_nb__sex_f__edu_aggregate_int", "label": "Average monthly earnings of employees: Female, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 12267.044, 12423.548, 13523.571, 12788.613, 13481.236, 13899.049, 14050.052, 15218.907 ] }, "ear_emta_sex_edu_nb__sex_f__edu_aggregate_adv": { "name": "ear_emta_sex_edu_nb__sex_f__edu_aggregate_adv", "label": "Average monthly earnings of employees: Female, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 22026.698, 22288.885, 24359.056, 24488.019, 26382.066, 28850.514, 29626.589, 31446.615 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_total": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_total", "label": "Average monthly earnings of employees: Female, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_x": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_x", "label": "Average monthly earnings of employees: Female, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 4427.48, 5070.819, 5195.139, 5499.621, 5677.452, 5884.606, 6468.083, 6681.364 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_0": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_0", "label": "Average monthly earnings of employees: Female, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 4757.201, 4776.812, 5566.533, 5966.575, 5957.917, 5989.731, 7636.318, 8152.932 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_1": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_1", "label": "Average monthly earnings of employees: Female, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 5391.155, 5172.65, 5831.753, 6119.203, 6575.52, 6837.225, 7210.313, 8190.612 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_2": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_2", "label": "Average monthly earnings of employees: Female, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6854.209, 7098.758, 7774.223, 8043.125, 7852.46, 8471.81, 9082.978, 9521.192 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_3": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_3", "label": "Average monthly earnings of employees: Female, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 10453.95, 11216.452, 12184.366, 11279.758, 11273.734, 11867.374, 12248.421, 12864.158 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_4": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_4", "label": "Average monthly earnings of employees: Female, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 17458.183, 17070.67, 18220.924, 17373.674, 20562.013, 20277.235, 20448.867, 22402.228 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_5": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_5", "label": "Average monthly earnings of employees: Female, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 19505.852, 18499.45, 21635.441, 21194.933, 23504.493, 25544.355, 27139.875, 27578.159 ] }, "ear_emta_sex_edu_nb__sex_f__edu_isced97_6": { "name": "ear_emta_sex_edu_nb__sex_f__edu_isced97_6", "label": "Average monthly earnings of employees: Female, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 26059.064, 28434.957, 28580.596, 29972.08, 31516.896, 34705.996, 34261.316, 38437.98 ] }, "ear_emta_sex_edu_nb__sex_o__edu_aggregate_total": { "name": "ear_emta_sex_edu_nb__sex_o__edu_aggregate_total", "label": "Average monthly earnings of employees: Other, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_edu_nb__sex_o__edu_isced97_total": { "name": "ear_emta_sex_edu_nb__sex_o__edu_isced97_total", "label": "Average monthly earnings of employees: Other, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_geo_nb__sex_t__geo_cov_nat": { "name": "ear_emta_sex_geo_nb__sex_t__geo_cov_nat", "label": "Average monthly earnings of employees: Total, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_geo_nb__sex_t__geo_cov_rur": { "name": "ear_emta_sex_geo_nb__sex_t__geo_cov_rur", "label": "Average monthly earnings of employees: Total, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C47A16", "data": [ 12303.595, 12017.333, 12625.001, 13852.875, 14416.455, 15306.628, 16120.926, 17121.125 ] }, "ear_emta_sex_geo_nb__sex_t__geo_cov_urb": { "name": "ear_emta_sex_geo_nb__sex_t__geo_cov_urb", "label": "Average monthly earnings of employees: Total, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#5F6675", "data": [ 18061.004, 18401.955, 20345.558, 20596.341, 22428.668, 23595.212, 24609.753, 26113.961 ] }, "ear_emta_sex_geo_nb__sex_m__geo_cov_nat": { "name": "ear_emta_sex_geo_nb__sex_m__geo_cov_nat", "label": "Average monthly earnings of employees: Male, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#878D99", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_geo_nb__sex_m__geo_cov_rur": { "name": "ear_emta_sex_geo_nb__sex_m__geo_cov_rur", "label": "Average monthly earnings of employees: Male, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#A3A9B4", "data": [ 13548.121, 13457.055, 14142.63, 15573.157, 16070.881, 17117.552, 18073.371, 18888.294 ] }, "ear_emta_sex_geo_nb__sex_m__geo_cov_urb": { "name": "ear_emta_sex_geo_nb__sex_m__geo_cov_urb", "label": "Average monthly earnings of employees: Male, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 19139.449, 19405.866, 21596.603, 21760.594, 23771.135, 25188.789, 26342.445, 27899.832 ] }, "ear_emta_sex_geo_nb__sex_f__geo_cov_nat": { "name": "ear_emta_sex_geo_nb__sex_f__geo_cov_nat", "label": "Average monthly earnings of employees: Female, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_geo_nb__sex_f__geo_cov_rur": { "name": "ear_emta_sex_geo_nb__sex_f__geo_cov_rur", "label": "Average monthly earnings of employees: Female, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 8009.815, 7974.072, 8135.262, 8995.433, 9334.474, 10539.523, 10598.332, 12115.141 ] }, "ear_emta_sex_geo_nb__sex_f__geo_cov_urb": { "name": "ear_emta_sex_geo_nb__sex_f__geo_cov_urb", "label": "Average monthly earnings of employees: Female, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 14490.912, 15252.554, 16421.338, 16937.136, 18428.605, 19102.826, 19837.112, 21337.117 ] }, "ear_emta_sex_geo_nb__sex_o__geo_cov_nat": { "name": "ear_emta_sex_geo_nb__sex_o__geo_cov_nat", "label": "Average monthly earnings of employees: Other, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_geo_nb__sex_o__geo_cov_urb": { "name": "ear_emta_sex_geo_nb__sex_o__geo_cov_urb", "label": "Average monthly earnings of employees: Other, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ null, 54864.504, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_emta_sex_ind_nb__sex_t__ind_sector_total": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_total", "label": "Average monthly earnings of employees: Total, Total", "unit": "inr", "group": "Sex and ind", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_agriculture": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_agriculture", "label": "Average monthly earnings of employees: Total, Agriculture, plantations, other rural sectors", "unit": "inr", "group": "Sex and ind", "color": "#C47A16", "data": [ 6572.124, 7461.287, 6927.521, 7994.516, 8620.089, 8258.186, 8920.982, 10481.537 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_metal": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_metal", "label": "Average monthly earnings of employees: Total, Basic metal production", "unit": "inr", "group": "Sex and ind", "color": "#5F6675", "data": [ 14432.392, 16322.627, 14182.456, 15017.389, 15774.497, 16533.988, 17739.546, 19478.838 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_chemical": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_chemical", "label": "Average monthly earnings of employees: Total, Chemical industries", "unit": "inr", "group": "Sex and ind", "color": "#878D99", "data": [ 15085.151, 15406.863, 16956.74, 16879.832, 17763.331, 18937.76, 20698.683, 21205.059 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_commerce": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_commerce", "label": "Average monthly earnings of employees: Total, Commerce", "unit": "inr", "group": "Sex and ind", "color": "#A3A9B4", "data": [ 10116.927, 10861.213, 10894.713, 11551.81, 12403.261, 13747.457, 13994.884, 14806.009 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_construction": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_construction", "label": "Average monthly earnings of employees: Total, Construction", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9338.786, 8673.816, 9227.424, 11260.133, 11501.433, 11634.364, 13472.541, 16111.356 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_education": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_education", "label": "Average monthly earnings of employees: Total, Education and research", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20730.412, 20062.102, 23861.986, 24275.353, 25617.632, 26585.286, 27853.785, 29212.106 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_finance": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_finance", "label": "Average monthly earnings of employees: Total, Financial services, professional services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20951.76, 21396.319, 22570.228, 23983.802, 24594.398, 26257.38, 27444.458, 29929.992 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_food": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_food", "label": "Average monthly earnings of employees: Total, Food, drink, tobacco", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 10378.486, 10912.434, 11141.616, 11528.564, 12818.913, 13391.884, 14543.357, 16043.762 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_wood": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_wood", "label": "Average monthly earnings of employees: Total, Forestry, wood, pulp and paper", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 11201.784, 12611.856, 11223.721, 12336.135, 14417.793, 13544.991, 15014.175, 16647.303 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_health": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_health", "label": "Average monthly earnings of employees: Total, Health services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 18132.258, 17386.131, 20473.335, 18531.585, 17695.531, 21643.953, 20259.446, 22086.608 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_tourism": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_tourism", "label": "Average monthly earnings of employees: Total, Hotels, catering, tourism", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 10818.413, 12038.878, 11910.139, 12183.878, 12759.634, 13492.745, 14954.354, 15801.425 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_engineering": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_engineering", "label": "Average monthly earnings of employees: Total, Mechanical and electrical engineering", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 14821.444, 17087.24, 19869.026, 17334.233, 19296.414, 19955.042, 19523.377, 22192.823 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_media": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_media", "label": "Average monthly earnings of employees: Total, Media, culture, graphical", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 26492.725, 27963.232, 31641.596, 33758.396, 38956.639, 41635.842, 44089.625, 44834.26 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_mining": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_mining", "label": "Average monthly earnings of employees: Total, Mining ~ coal, other mining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 23452.086, 26390.501, 26088.589, 27979.562, 23281.964, 31396.297, 31863.679, 29722.229 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_petrol": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_petrol", "label": "Average monthly earnings of employees: Total, Oil and gas production, oil refining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 48443.589, 28071.533, 27023.551, 31108.756, 42485.114, 46144.617, 32716.3, 34023.819 ], "flags": { "U": [ "2022-01-01" ] } }, "ear_emta_sex_ind_nb__sex_t__ind_sector_telecom": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_telecom", "label": "Average monthly earnings of employees: Total, Postal and telecommunications services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20416.977, 18079.598, 22040.802, 21836.619, 22091.045, 21766.285, 22516.425, 24625.594 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_public": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_public", "label": "Average monthly earnings of employees: Total, Public service", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 24439.478, 25776.97, 25036.327, 26853.212, 29653.295, 30673.949, 33824.848, 35344.566 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_maritime": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_maritime", "label": "Average monthly earnings of employees: Total, Shipping, ports, fisheries, inland waterways", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 16476.98, 21179.207, 31493.251, 31070.195, 29192.6, 29782.006, 37803.665, 38515.294 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_textile": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_textile", "label": "Average monthly earnings of employees: Total, Textiles, clothing, leather, footwear", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9997.909, 10302.486, 11117.706, 11729.902, 12102.343, 13143.693, 13972.668, 14874.385 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_transport": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_transport", "label": "Average monthly earnings of employees: Total, Transport (including civil aviation, road transport and railways)", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 13868.49, 15044.412, 15754.875, 16110.264, 17586.329, 18394.957, 20052.822, 21055.145 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_equipment": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_equipment", "label": "Average monthly earnings of employees: Total, Transport equipment manufacturing", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 16824.058, 19301.667, 19686.377, 21991.428, 21229.145, 20155.948, 25902.912, 24960.251 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_utilities": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_utilities", "label": "Average monthly earnings of employees: Total, Utilities ~ water, gas, electricity", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20550.168, 21086.143, 21754.166, 21419.622, 22266.587, 22082.821, 23393.949, 27171.382 ] }, "ear_emta_sex_ind_nb__sex_t__ind_sector_x": { "name": "ear_emta_sex_ind_nb__sex_t__ind_sector_x", "label": "Average monthly earnings of employees: Total, Not elsewhere classified", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9830.722, 9513.63, 9811.228, 10330.352, 10657.302, 10703.144, 11593.049, 12645.539 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_total": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_total", "label": "Average monthly earnings of employees: Male, Total", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_agriculture": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_agriculture", "label": "Average monthly earnings of employees: Male, Agriculture, plantations, other rural sectors", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 7306.661, 8935.678, 8216.843, 9642.327, 10479.816, 10094.725, 10631.205, 12475.449 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_metal": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_metal", "label": "Average monthly earnings of employees: Male, Basic metal production", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 14663.433, 16548.189, 14389.919, 15142.512, 15772.465, 17023.996, 18243.422, 19730.914 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_chemical": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_chemical", "label": "Average monthly earnings of employees: Male, Chemical industries", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 15698.361, 15998.722, 17608.228, 17417.122, 18451.035, 19865.09, 21805.373, 22356.677 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_commerce": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_commerce", "label": "Average monthly earnings of employees: Male, Commerce", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 10249.368, 11099.942, 11027.709, 11781.779, 12563.292, 14062.691, 14424.19, 15271.209 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_construction": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_construction", "label": "Average monthly earnings of employees: Male, Construction", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 12079.491, 11871.148, 12426.686, 15368.079, 15081.732, 16630.422, 18588.795, 19856.222 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_education": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_education", "label": "Average monthly earnings of employees: Male, Education and research", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 25232.265, 24759.248, 29596.429, 29943.202, 32278.645, 32280.878, 34485.165, 36491.105 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_finance": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_finance", "label": "Average monthly earnings of employees: Male, Financial services, professional services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20814.655, 20914.523, 22319.828, 23896.199, 24154.436, 26285.838, 27320.675, 29776.387 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_food": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_food", "label": "Average monthly earnings of employees: Male, Food, drink, tobacco", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 11104.944, 11662.258, 12238.695, 12325.997, 13565.946, 14328.368, 15618.927, 17014.456 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_wood": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_wood", "label": "Average monthly earnings of employees: Male, Forestry, wood, pulp and paper", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 11307.524, 12366.587, 11328.203, 12525.415, 14812.988, 13675.927, 15419.711, 17015.905 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_health": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_health", "label": "Average monthly earnings of employees: Male, Health services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 21924.686, 20338.421, 26063.601, 23257.621, 21906.42, 28342.113, 25181.752, 28376.032 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_tourism": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_tourism", "label": "Average monthly earnings of employees: Male, Hotels, catering, tourism", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 11210.098, 12299.39, 12355.189, 12564.302, 13337.525, 14133.587, 15564.642, 16626.513 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_engineering": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_engineering", "label": "Average monthly earnings of employees: Male, Mechanical and electrical engineering", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 14814.971, 17328.392, 20387.859, 17742.634, 19332.042, 20522.784, 19887.508, 22361.915 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_media": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_media", "label": "Average monthly earnings of employees: Male, Media, culture, graphical", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 27548.717, 28263.964, 32006.611, 34481.107, 40278.957, 42817.511, 45360.485, 46102.937 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_mining": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_mining", "label": "Average monthly earnings of employees: Male, Mining ~ coal, other mining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 23173.633, 26844.086, 25494.12, 28459.913, 22801.043, 31819.803, 32259.961, 29814.908 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_petrol": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_petrol", "label": "Average monthly earnings of employees: Male, Oil and gas production, oil refining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 48270.103, 28595.967, 27943.219, 31842.509, 42485.114, 44963.608, 32716.3, 35279.452 ], "flags": { "U": [ "2022-01-01" ] } }, "ear_emta_sex_ind_nb__sex_m__ind_sector_telecom": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_telecom", "label": "Average monthly earnings of employees: Male, Postal and telecommunications services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20471.488, 17826.508, 22484.103, 22029.014, 21860.93, 21818.405, 22506.404, 24845.919 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_public": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_public", "label": "Average monthly earnings of employees: Male, Public service", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 25759.637, 27086.06, 26985.176, 28691.614, 31615.871, 33085.138, 35507.978, 37591.805 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_maritime": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_maritime", "label": "Average monthly earnings of employees: Male, Shipping, ports, fisheries, inland waterways", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 17981.425, 21179.207, 31490.912, 31113.506, 27310.339, 29075.33, 33538.196, 38888.939 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_textile": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_textile", "label": "Average monthly earnings of employees: Male, Textiles, clothing, leather, footwear", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 10838.725, 11054.511, 11837.749, 12452.793, 12784.338, 14115.512, 14930.407, 16159.527 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_transport": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_transport", "label": "Average monthly earnings of employees: Male, Transport (including civil aviation, road transport and railways)", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 13672.452, 14954.394, 15626.865, 16035.591, 17558.84, 18008.453, 19833.417, 20880.533 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_equipment": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_equipment", "label": "Average monthly earnings of employees: Male, Transport equipment manufacturing", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 16771.47, 19538.391, 19903.185, 22313.095, 21558.65, 20451.799, 27002.991, 25774.756 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_utilities": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_utilities", "label": "Average monthly earnings of employees: Male, Utilities ~ water, gas, electricity", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 21195.572, 22112.749, 21846.738, 22030.614, 22698.675, 22902.682, 23272.423, 27460.809 ] }, "ear_emta_sex_ind_nb__sex_m__ind_sector_x": { "name": "ear_emta_sex_ind_nb__sex_m__ind_sector_x", "label": "Average monthly earnings of employees: Male, Not elsewhere classified", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 13528.595, 12741.124, 13818.051, 14040.866, 14625.143, 14448.759, 16306.186, 17075.555 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_total": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_total", "label": "Average monthly earnings of employees: Female, Total", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_agriculture": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_agriculture", "label": "Average monthly earnings of employees: Female, Agriculture, plantations, other rural sectors", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 4868.144, 4882.457, 4255.432, 5464.801, 6067.212, 6198.752, 6788.269, 7416.841 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_metal": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_metal", "label": "Average monthly earnings of employees: Female, Basic metal production", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9926.214, 11316.819, 10450.502, 11652.88, 15843.062, 9254.305, 10923.268, 14187.329 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_chemical": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_chemical", "label": "Average monthly earnings of employees: Female, Chemical industries", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9022.408, 11346.369, 12123.626, 11914.436, 12542.352, 14178.355, 12940.126, 14464.697 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_commerce": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_commerce", "label": "Average monthly earnings of employees: Female, Commerce", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 8821.738, 8942.923, 9646.633, 9733.145, 10977.044, 11445.015, 10801.72, 11841.573 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_construction": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_construction", "label": "Average monthly earnings of employees: Female, Construction", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 3721.745, 4111.171, 4803.283, 5139.166, 5943.448, 5799.495, 6288.467, 7691.23 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_education": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_education", "label": "Average monthly earnings of employees: Female, Education and research", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 15524.088, 15298.179, 17900.153, 18436.819, 18602.886, 20839.457, 20848.21, 22661.136 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_finance": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_finance", "label": "Average monthly earnings of employees: Female, Financial services, professional services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 21832.103, 23552.873, 23922.46, 24530.076, 26833.498, 26127.422, 28002.592, 30662.623 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_food": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_food", "label": "Average monthly earnings of employees: Female, Food, drink, tobacco", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 5961.254, 6467.015, 6378.139, 7830.855, 8414.942, 8370.794, 9563.494, 10994.12 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_wood": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_wood", "label": "Average monthly earnings of employees: Female, Forestry, wood, pulp and paper", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9313.706, 15632.228, 9395.071, 9859.415, 8868.939, 11097.692, 9886.985, 12527.343 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_health": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_health", "label": "Average monthly earnings of employees: Female, Health services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 14769.395, 14124, 14657.118, 14969.259, 14936.755, 16865.941, 16499.24, 17994.515 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_tourism": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_tourism", "label": "Average monthly earnings of employees: Female, Hotels, catering, tourism", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 8703.822, 10556.902, 8878.247, 9258.653, 9710.062, 9515.582, 11884.449, 12205.498 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_engineering": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_engineering", "label": "Average monthly earnings of employees: Female, Mechanical and electrical engineering", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 14910.916, 15452.043, 14341.987, 13474.023, 18737.468, 14702.153, 14858.945, 20541.539 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_media": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_media", "label": "Average monthly earnings of employees: Female, Media, culture, graphical", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 21695.34, 26861.663, 30471.705, 31288.581, 34632.032, 37884.476, 40255.655, 41191.023 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_mining": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_mining", "label": "Average monthly earnings of employees: Female, Mining ~ coal, other mining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 28451.971, 21268.919, 48102.494, 15579.918, 42009.74, 22588.662, 23380.873, 27431.112 ], "flags": { "U": [ "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_emta_sex_ind_nb__sex_f__ind_sector_telecom": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_telecom", "label": "Average monthly earnings of employees: Female, Postal and telecommunications services", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 20003.675, 20502.197, 18438.836, 20322.286, 24135.932, 21393.925, 22616.643, 23271.326 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_public": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_public", "label": "Average monthly earnings of employees: Female, Public service", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 17572.202, 19937.896, 16697.286, 18781.291, 21133.121, 21123.815, 27495.283, 26352.397 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_maritime": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_maritime", "label": "Average monthly earnings of employees: Female, Shipping, ports, fisheries, inland waterways", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 9996.053, null, null, null, null, null, null, 29429.031 ], "gaps": [ "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01" ], "gapsNote": "The ILO serves these cells blank (flagged, value withheld) or not at all.", "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01" ], "flags": { "U": [ "2018-01-01", "2025-01-01" ] } }, "ear_emta_sex_ind_nb__sex_f__ind_sector_textile": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_textile", "label": "Average monthly earnings of employees: Female, Textiles, clothing, leather, footwear", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 6559.447, 7632.679, 8574.426, 9002.334, 9151.747, 9820.507, 10297.475, 10902.494 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_transport": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_transport", "label": "Average monthly earnings of employees: Female, Transport (including civil aviation, road transport and railways)", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 23537.786, 20140.098, 20244.276, 18867.641, 18921.295, 30971.614, 26145.003, 26190.917 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_equipment": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_equipment", "label": "Average monthly earnings of employees: Female, Transport equipment manufacturing", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 17777.738, 14043.716, 17110.045, 16331.448, 16671.079, 16233.616, 14597.924, 16335.842 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_utilities": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_utilities", "label": "Average monthly earnings of employees: Female, Utilities ~ water, gas, electricity", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 13641.864, 14167.243, 20469.194, 15870.78, 17584.845, 14072.023, 24421.357, 24276.413 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_x": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_x", "label": "Average monthly earnings of employees: Female, Not elsewhere classified", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 5516.142, 5972.883, 5973.112, 6364.982, 6485.607, 6947.858, 7482.681, 8528.279 ] }, "ear_emta_sex_ind_nb__sex_o__ind_sector_total": { "name": "ear_emta_sex_ind_nb__sex_o__ind_sector_total", "label": "Average monthly earnings of employees: Other, Total", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_mts_nb__sex_t__mts_aggregate_total": { "name": "ear_emta_sex_mts_nb__sex_t__mts_aggregate_total", "label": "Average monthly earnings of employees: Total, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_mts_nb__sex_t__mts_aggregate_1": { "name": "ear_emta_sex_mts_nb__sex_t__mts_aggregate_1", "label": "Average monthly earnings of employees: Total, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C47A16", "data": [ 11809.882, 11979.689, 12838.896, 13799.551, 14510.391, 15385.272, 16703.174, 17622.279 ] }, "ear_emta_sex_mts_nb__sex_t__mts_aggregate_2": { "name": "ear_emta_sex_mts_nb__sex_t__mts_aggregate_2", "label": "Average monthly earnings of employees: Total, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#5F6675", "data": [ 17121.198, 17344.235, 18712.571, 19185.757, 20613.242, 21590.489, 22639.691, 24263.61 ] }, "ear_emta_sex_mts_nb__sex_t__mts_aggregate_x": { "name": "ear_emta_sex_mts_nb__sex_t__mts_aggregate_x", "label": "Average monthly earnings of employees: Total, Not elsewhere classified (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#878D99", "data": [ null, 13496.524, null, null, null, null, null, null ], "withheld": [ "2020-01-01" ], "flags": { "U": [ "2019-01-01" ] } }, "ear_emta_sex_mts_nb__sex_t__mts_details_total": { "name": "ear_emta_sex_mts_nb__sex_t__mts_details_total", "label": "Average monthly earnings of employees: Total, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#A3A9B4", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_mts_nb__sex_t__mts_details_sgle": { "name": "ear_emta_sex_mts_nb__sex_t__mts_details_sgle", "label": "Average monthly earnings of employees: Total, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 12208.873, 12432.888, 13270.956, 14429.406, 15176.517, 16302.506, 17702.307, 18560.854 ] }, "ear_emta_sex_mts_nb__sex_t__mts_details_mrd": { "name": "ear_emta_sex_mts_nb__sex_t__mts_details_mrd", "label": "Average monthly earnings of employees: Total, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 17121.198, 17344.235, 18712.571, 19185.757, 20613.242, 21590.489, 22639.691, 24263.61 ] }, "ear_emta_sex_mts_nb__sex_t__mts_details_wid": { "name": "ear_emta_sex_mts_nb__sex_t__mts_details_wid", "label": "Average monthly earnings of employees: Total, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 9816.401, 9825.131, 10663.032, 10564.802, 11131.305, 11112.636, 11876.343, 12728.771 ] }, "ear_emta_sex_mts_nb__sex_t__mts_details_sep": { "name": "ear_emta_sex_mts_nb__sex_t__mts_details_sep", "label": "Average monthly earnings of employees: Total, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 10716.407, 10439.04, 12863.068, 12993.264, 12966.463, 13378.215, 15274.579, 16790.698 ] }, "ear_emta_sex_mts_nb__sex_t__mts_details_x": { "name": "ear_emta_sex_mts_nb__sex_t__mts_details_x", "label": "Average monthly earnings of employees: Total, Not elsewhere 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"group": "Sex and marital status", "color": "#C9CED6", "data": [ 11866.932, 13652.307, 14951.292, 15503.077, 16645.952, 15004.818, 19107.128, 18542.947 ] }, "ear_emta_sex_mts_nb__sex_f__mts_aggregate_total": { "name": "ear_emta_sex_mts_nb__sex_f__mts_aggregate_total", "label": "Average monthly earnings of employees: Female, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_mts_nb__sex_f__mts_aggregate_1": { "name": "ear_emta_sex_mts_nb__sex_f__mts_aggregate_1", "label": "Average monthly earnings of employees: Female, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 10324.484, 11534.905, 11841.446, 12821.786, 13638.772, 14158.658, 14954.68, 15812.245 ] }, "ear_emta_sex_mts_nb__sex_f__mts_aggregate_2": { "name": "ear_emta_sex_mts_nb__sex_f__mts_aggregate_2", "label": "Average monthly earnings of employees: Female, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 12651.709, 12500.135, 13268.526, 13453.427, 14751.993, 15512.697, 16193.967, 18339.161 ] }, "ear_emta_sex_mts_nb__sex_f__mts_details_total": { "name": "ear_emta_sex_mts_nb__sex_f__mts_details_total", "label": "Average monthly earnings of employees: Female, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_mts_nb__sex_f__mts_details_sgle": { "name": "ear_emta_sex_mts_nb__sex_f__mts_details_sgle", "label": "Average monthly earnings of employees: Female, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 11920.77, 13781.878, 13848.982, 15751.476, 16574.714, 17638.174, 18782.667, 19151.128 ] }, 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8918.084, 10835.719, 10969.102, 10308.29, 12039.749, 12451.097, 15387.248 ] }, "ear_emta_sex_mts_nb__sex_o__mts_aggregate_total": { "name": "ear_emta_sex_mts_nb__sex_o__mts_aggregate_total", "label": "Average monthly earnings of employees: Other, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_mts_nb__sex_o__mts_aggregate_2": { "name": "ear_emta_sex_mts_nb__sex_o__mts_aggregate_2", "label": "Average monthly earnings of employees: Other, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 47238.576, null, null, null, null, null, null ], "withheld": [ "2018-01-01", "2020-01-01", "2021-01-01", "2023-01-01", "2025-01-01" ], "flags": { "U": [ 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"label": "Average monthly earnings of employees: Total", "unit": "inr", "group": "Sex", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_nb__sex_m": { "name": "ear_emta_sex_nb__sex_m", "label": "Average monthly earnings of employees: Male", "unit": "inr", "group": "Sex", "color": "#C47A16", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_nb__sex_f": { "name": "ear_emta_sex_nb__sex_f", "label": "Average monthly earnings of employees: Female", "unit": "inr", "group": "Sex", "color": "#5F6675", "data": [ 11861.509, 12150.884, 12780.065, 13228.623, 14360.507, 15058.111, 15747.887, 17437.61 ] }, "ear_emta_sex_nb__sex_o": { "name": "ear_emta_sex_nb__sex_o", "label": "Average monthly earnings of employees: Other", "unit": "inr", "group": "Sex", "color": "#878D99", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_ocu_nb__sex_t__ocu_skill_total": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_skill_total", "label": "Average monthly earnings of employees: Total, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#2E4BD8", "data": [ 15678.987, 15799.338, 17037.051, 17583.076, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_skill_l3_4": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_skill_l3_4", "label": "Average monthly earnings of employees: Total, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C47A16", "data": [ 25365.974, 25647.4, 28312.342, 28507.2, 31013.715, 32888.753, 34665.5, 36981.955 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_skill_l2": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_skill_l2", "label": "Average monthly earnings of employees: Total, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#5F6675", "data": [ 12432.951, 12961.799, 13961.125, 14495.855, 14937.46, 15935.873, 16997.458, 17605.622 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_skill_l1": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_skill_l1", "label": "Average monthly earnings of employees: Total, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#878D99", "data": [ 7900.398, 8019.796, 8429.715, 8613.992, 9058.23, 9372.939, 10237.291, 11529.901 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_skill_x": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_skill_x", "label": "Average monthly earnings of employees: Total, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#A3A9B4", "data": [ 7348.369, 15099.014, 20737.731, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_total": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_total", "label": "Average monthly earnings of employees: Total, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 18799.404, 19783.492, 20811.6, 22219.991 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_1": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_1", "label": "Average monthly earnings of employees: Total, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 41823.158, 43845.593, 44669.172, 50472.868 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_2": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_2", "label": "Average monthly earnings of employees: Total, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 31747.402, 34274.02, 36140.715, 38297.876 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_3": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_3", "label": "Average monthly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 23158.88, 23557.065, 26037.321, 26151.547 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_4": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_4", "label": "Average monthly earnings of employees: Total, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 20860.809, 22241.434, 24388.406, 24252.177 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_5": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_5", "label": "Average monthly earnings of employees: Total, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 13348.885, 14336.223, 14849.184, 15574.58 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_6": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_6", "label": "Average monthly earnings of employees: Total, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 14137.524, 11217.132, 11954.235, 13145.088 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_7": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_7", "label": "Average monthly earnings of employees: Total, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 13306.875, 14599.209, 15860.405, 16824.51 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_8": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_8", "label": "Average monthly earnings of employees: Total, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 14699.135, 15407.101, 16421.779, 17328.959 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_9": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco08_9", "label": "Average monthly earnings of employees: Total, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 9058.23, 9372.939, 10237.291, 11529.901 ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_total": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_total", "label": "Average monthly earnings of employees: Total, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 15678.987, 15799.338, 17037.051, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_1": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_1", "label": "Average monthly earnings of employees: Total, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 32459.878, 35152.618, 38277.443, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_2": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_2", "label": "Average monthly earnings of employees: Total, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 27934.119, 26876.642, 30420.282, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_3": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_3", "label": "Average monthly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 20741.752, 21052.715, 22179.471, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_4": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_4", "label": "Average monthly earnings of employees: Total, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 18645.79, 19391.143, 19916.932, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_5": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_5", "label": "Average monthly earnings of employees: Total, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10754.934, 11189.444, 12544.474, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_6": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_6", "label": "Average monthly earnings of employees: Total, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 9756.504, 11047.014, 12056.353, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_7": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_7", "label": "Average monthly earnings of employees: Total, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11409.176, 11812.734, 12836.743, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_8": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_8", "label": "Average monthly earnings of employees: Total, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11898.395, 12571.971, 13375.192, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_9": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_9", "label": "Average monthly earnings of employees: Total, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 7900.398, 8019.796, 8429.715, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_x": { "name": "ear_emta_sex_ocu_nb__sex_t__ocu_isco88_x", "label": "Average monthly earnings of employees: Total, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 7348.369, 15099.014, 20737.731, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_skill_total": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_skill_total", "label": "Average monthly earnings of employees: Male, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, 19036.947, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_skill_l3_4": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_skill_l3_4", "label": "Average monthly earnings of employees: Male, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28259.084, 28577.32, 31781.272, 31431.716, 34540.388, 36308.559, 37837.253, 40959.896 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_skill_l2": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_skill_l2", "label": "Average monthly earnings of employees: Male, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 13100.092, 13708.426, 14643.367, 15209.148, 15617.187, 16681.111, 17813.239, 18522.503 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_skill_l1": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_skill_l1", "label": "Average monthly earnings of employees: Male, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 9503.465, 9816.682, 10304.48, 10731.29, 11314.144, 11996.648, 13110.765, 14313.185 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_skill_x": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_skill_x", "label": "Average monthly earnings of employees: Male, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11225.734, 16331.409, 21306.591, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_total": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_total", "label": "Average monthly earnings of employees: Male, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 20268.842, 21513.812, 22628.324, 23964.154 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_1": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_1", "label": "Average monthly earnings of employees: Male, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 41211.325, 44462.228, 45390.079, 50331.269 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_2": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_2", "label": "Average monthly earnings of employees: Male, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 36213.636, 38037.222, 39482.452, 42669.447 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_3": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_3", "label": "Average monthly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 26343.063, 27124.322, 29373.831, 30346.505 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_4": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_4", "label": "Average monthly earnings of employees: Male, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 21743.614, 23052.347, 25403.422, 25125.128 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_5": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_5", "label": "Average monthly earnings of employees: Male, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 14647.3, 15768.942, 16395.508, 17374.633 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_6": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_6", "label": "Average monthly earnings of employees: Male, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 15798.56, 12633.102, 13377.479, 14474.382 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_7": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_7", "label": "Average monthly earnings of employees: Male, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 13757.944, 15174.315, 16317.514, 17338.89 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_8": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_8", "label": "Average monthly earnings of employees: Male, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 14879.009, 15611.694, 16643.804, 17545.154 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_9": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco08_9", "label": "Average monthly earnings of employees: Male, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 11314.144, 11996.648, 13110.765, 14313.185 ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_total": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_total", "label": "Average monthly earnings of employees: Male, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 16813.444, 17017.66, 18428.805, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_1": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_1", "label": "Average monthly earnings of employees: Male, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 32828.647, 35093.883, 39256.827, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_2": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_2", "label": "Average monthly earnings of employees: Male, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 30556.224, 28981.632, 32721.455, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_3": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_3", "label": "Average monthly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 23909.426, 24857.717, 26242.263, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_4": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_4", "label": "Average monthly earnings of employees: Male, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 19111.023, 19881.554, 20621.629, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_5": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_5", "label": "Average monthly earnings of employees: Male, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 12117.774, 12475.818, 13730.068, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_6": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_6", "label": "Average monthly earnings of employees: Male, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10858.771, 12100.304, 12491.045, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_7": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_7", "label": "Average monthly earnings of employees: Male, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 12052.643, 12762.924, 13543.567, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_8": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_8", "label": "Average monthly earnings of employees: Male, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 12028.63, 12752.439, 13649.555, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_9": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_9", "label": "Average monthly earnings of employees: Male, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 9503.465, 9816.682, 10304.48, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_x": { "name": "ear_emta_sex_ocu_nb__sex_m__ocu_isco88_x", "label": "Average monthly earnings of employees: Male, X. 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Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 15493.007, 15195.403, 18448.28, 17916.622 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_4": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_4", "label": "Average monthly earnings of employees: Female, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 17732.519, 19516.188, 21057.883, 21484.027 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_5": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_5", "label": "Average monthly earnings of employees: Female, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 8407.381, 9121.193, 9504.877, 9979.133 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_6": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_6", "label": "Average monthly earnings of employees: Female, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 7958.839, 7432.446, 8137.435, 9270.846 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_7": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_7", "label": "Average monthly earnings of employees: Female, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 8745.67, 9003.899, 10546.848, 11067.63 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_8": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_8", "label": "Average monthly earnings of employees: Female, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 9399.085, 10447.323, 11557.175, 12212.775 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_9": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco08_9", "label": "Average monthly earnings of employees: Female, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 6049.624, 6413.947, 7030.971, 7905.846 ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_total": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_total", "label": "Average monthly earnings of employees: Female, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11861.509, 12150.884, 12780.065, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_1": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_1", "label": "Average monthly earnings of employees: Female, 1. 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Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6115.997, 5876.153, 7605.95, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_8": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_8", "label": "Average monthly earnings of employees: Female, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 8033.79, 8179.966, 8442.148, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_9": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_9", "label": "Average monthly earnings of employees: Female, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 4981.344, 5091.326, 5602.508, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_x": { "name": "ear_emta_sex_ocu_nb__sex_f__ocu_isco88_x", "label": "Average monthly earnings of employees: Female, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 2020.548, 12457.844, 17550.681, null, null, null, null, null ] }, "ear_emta_sex_ocu_nb__sex_o__ocu_skill_total": { "name": "ear_emta_sex_ocu_nb__sex_o__ocu_skill_total", "label": "Average monthly earnings of employees: Other, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6640.731, 42645.389, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emta_sex_ocu_nb__sex_o__ocu_skill_l3_4": { "name": "ear_emta_sex_ocu_nb__sex_o__ocu_skill_l3_4", "label": "Average monthly earnings of employees: Other, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 9563.854, null, null, null, null, null, null, null ], "withheld": [ 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of monthly earnings of employees: Total, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 0.444, 0.445, 0.45, 0.435, 0.441, 0.437, 0.429, 0.432 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_sector_agr": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_sector_agr", "label": "Gini index of monthly earnings of employees: Total, Agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C47A16", "data": [ 0.396, 0.408, 0.375, 0.379, 0.375, 0.33, 0.317, 0.369 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_sector_nag": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_sector_nag", "label": "Gini index of monthly earnings of employees: Total, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#5F6675", "data": [ 0.442, 0.443, 0.448, 0.432, 0.439, 0.435, 0.427, 0.43 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_sector_ind": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_sector_ind", "label": "Gini index of monthly earnings of employees: Total, Industry (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#878D99", "data": [ 0.402, 0.411, 0.411, 0.387, 0.367, 0.371, 0.363, 0.36 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_sector_ser": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_sector_ser", "label": "Gini index of monthly earnings of employees: Total, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#A3A9B4", "data": [ 0.447, 0.448, 0.452, 0.44, 0.454, 0.448, 0.442, 0.45 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_total": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_total", "label": "Gini index of monthly earnings of employees: Total, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.444, 0.445, 0.45, 0.435, 0.441, 0.437, 0.429, 0.432 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_agr": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_agr", "label": "Gini index of monthly earnings of employees: Total, Agriculture (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.396, 0.408, 0.375, 0.379, 0.375, 0.33, 0.317, 0.369 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_man": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_man", "label": "Gini index of monthly earnings of employees: Total, Manufacturing (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.348, 0.361, 0.364, 0.327, 0.323, 0.324, 0.317, 0.321 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_con": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_con", "label": "Gini index of monthly earnings of employees: Total, Construction (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.482, 0.445, 0.435, 0.477, 0.443, 0.445, 0.451, 0.44 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_mel": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_mel", "label": "Gini index of monthly earnings of employees: Total, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.436, 0.464, 0.429, 0.411, 0.412, 0.401, 0.413, 0.426 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_mkt": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_mkt", "label": "Gini index of monthly earnings of employees: Total, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.404, 0.409, 0.411, 0.407, 0.414, 0.41, 0.401, 0.412 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_pub": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_pub", "label": "Gini index of monthly earnings of employees: Total, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.48, 0.481, 0.482, 0.47, 0.493, 0.485, 0.485, 0.49 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_total": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_total", "label": "Gini index of monthly earnings of employees: Total, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.444, 0.445, 0.45, 0.435, 0.441, 0.437, 0.429, 0.432 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_a": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_a", "label": "Gini index of monthly earnings of employees: Total, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.396, 0.408, 0.375, 0.379, 0.375, 0.33, 0.317, 0.369 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_b": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_b", "label": "Gini index of monthly earnings of employees: Total, B. Mining and quarrying (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.418, 0.436, 0.393, 0.392, 0.398, 0.375, 0.452, 0.41 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_c": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_c", "label": "Gini index of monthly earnings of employees: Total, C. Manufacturing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.348, 0.361, 0.364, 0.327, 0.323, 0.324, 0.317, 0.321 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_d": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_d", "label": "Gini index of monthly earnings of employees: Total, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.422, 0.452, 0.421, 0.394, 0.396, 0.375, 0.368, 0.417 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_e": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_e", "label": "Gini index of monthly earnings of employees: Total, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.406, 0.422, 0.421, 0.393, 0.38, 0.432, 0.368, 0.415 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_f": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_f", "label": "Gini index of monthly earnings of employees: Total, F. Construction (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.482, 0.445, 0.435, 0.477, 0.443, 0.445, 0.451, 0.44 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_g": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_g", "label": "Gini index of monthly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.302, 0.321, 0.308, 0.295, 0.283, 0.301, 0.275, 0.289 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_h": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_h", "label": "Gini index of monthly earnings of employees: Total, H. Transportation and storage (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.359, 0.359, 0.342, 0.342, 0.352, 0.333, 0.34, 0.339 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_i": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_i", "label": "Gini index of monthly earnings of employees: Total, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.307, 0.306, 0.314, 0.283, 0.277, 0.279, 0.28, 0.292 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_j": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_j", "label": "Gini index of monthly earnings of employees: Total, J. Information and communication (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.341, 0.369, 0.345, 0.32, 0.312, 0.322, 0.311, 0.354 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_k": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_k", "label": "Gini index of monthly earnings of employees: Total, K. Financial and insurance activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.354, 0.361, 0.373, 0.381, 0.375, 0.362, 0.35, 0.398 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_l": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_l", "label": "Gini index of monthly earnings of employees: Total, L. Real estate activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.357, 0.353, 0.323, 0.286, 0.312, 0.311, 0.284, 0.317 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_m": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_m", "label": "Gini index of monthly earnings of employees: Total, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.357, 0.398, 0.365, 0.388, 0.395, 0.392, 0.387, 0.39 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_n": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_n", "label": "Gini index of monthly earnings of employees: Total, N. Administrative and support service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.376, 0.395, 0.374, 0.362, 0.366, 0.347, 0.371, 0.358 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_o": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_o", "label": "Gini index of monthly earnings of employees: Total, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.375, 0.374, 0.413, 0.371, 0.403, 0.388, 0.372, 0.378 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_p": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_p", "label": "Gini index of monthly earnings of employees: Total, P. Education (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.448, 0.466, 0.438, 0.43, 0.459, 0.451, 0.454, 0.471 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_q": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_q", "label": "Gini index of monthly earnings of employees: Total, Q. Human health and social work activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.509, 0.464, 0.467, 0.45, 0.449, 0.484, 0.454, 0.473 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_r": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_r", "label": "Gini index of monthly earnings of employees: Total, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.365, 0.38, 0.333, 0.36, 0.332, 0.344, 0.339, 0.309 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_s": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_s", "label": "Gini index of monthly earnings of employees: Total, S. Other service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.371, 0.36, 0.378, 0.372, 0.377, 0.356, 0.371, 0.34 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic4_t": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic4_t", "label": "Gini index of monthly earnings of employees: Total, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.394, 0.369, 0.372, 0.359, 0.349, 0.348, 0.352, 0.354 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_sector_total": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_sector_total", "label": "Gini index of monthly earnings of employees: Male, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.415, 0.413, 0.423, 0.407, 0.41, 0.403, 0.394, 0.4 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_sector_agr": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_sector_agr", "label": "Gini index of monthly earnings of employees: Male, Agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.387, 0.404, 0.362, 0.385, 0.396, 0.364, 0.336, 0.363 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_sector_nag": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_sector_nag", "label": "Gini index of monthly earnings of employees: Male, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.412, 0.412, 0.421, 0.405, 0.409, 0.401, 0.393, 0.399 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_sector_ind": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_sector_ind", "label": "Gini index of monthly earnings of employees: Male, Industry (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.379, 0.385, 0.387, 0.366, 0.343, 0.344, 0.337, 0.34 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_sector_ser": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_sector_ser", "label": "Gini index of monthly earnings of employees: Male, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.417, 0.417, 0.427, 0.413, 0.424, 0.414, 0.407, 0.418 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_total": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_total", "label": "Gini index of monthly earnings of employees: Male, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.415, 0.413, 0.423, 0.407, 0.41, 0.403, 0.394, 0.4 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_agr": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_agr", "label": "Gini index of monthly earnings of employees: Male, Agriculture (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.387, 0.404, 0.362, 0.385, 0.396, 0.364, 0.336, 0.363 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_man": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_man", "label": "Gini index of monthly earnings of employees: Male, Manufacturing (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.338, 0.355, 0.357, 0.324, 0.313, 0.315, 0.31, 0.312 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_con": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_con", "label": "Gini index of monthly earnings of employees: Male, Construction (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.433, 0.396, 0.4, 0.446, 0.393, 0.391, 0.394, 0.378 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_mel": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_mel", "label": "Gini index of monthly earnings of employees: Male, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.429, 0.457, 0.428, 0.404, 0.405, 0.395, 0.412, 0.421 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_mkt": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_mkt", "label": "Gini index of monthly earnings of employees: Male, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.4, 0.401, 0.408, 0.403, 0.408, 0.404, 0.392, 0.401 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_pub": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_pub", "label": "Gini index of monthly earnings of employees: Male, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.407, 0.411, 0.416, 0.399, 0.422, 0.41, 0.408, 0.424 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_total": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_total", "label": "Gini index of monthly earnings of employees: Male, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.415, 0.413, 0.423, 0.407, 0.41, 0.403, 0.394, 0.4 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_a": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_a", "label": "Gini index of monthly earnings of employees: Male, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.387, 0.404, 0.362, 0.385, 0.396, 0.364, 0.336, 0.363 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_b": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_b", "label": "Gini index of monthly earnings of employees: Male, B. Mining and quarrying (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.417, 0.429, 0.393, 0.387, 0.394, 0.372, 0.452, 0.408 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_c": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_c", "label": "Gini index of monthly earnings of employees: Male, C. Manufacturing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.338, 0.355, 0.357, 0.324, 0.313, 0.315, 0.31, 0.312 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_d": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_d", "label": "Gini index of monthly earnings of employees: Male, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.423, 0.46, 0.422, 0.394, 0.394, 0.377, 0.373, 0.414 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_e": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_e", "label": "Gini index of monthly earnings of employees: Male, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.385, 0.387, 0.42, 0.377, 0.37, 0.419, 0.355, 0.407 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_f": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_f", "label": "Gini index of monthly earnings of employees: Male, F. Construction (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.433, 0.396, 0.4, 0.446, 0.393, 0.391, 0.394, 0.378 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_g": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_g", "label": "Gini index of monthly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.301, 0.32, 0.305, 0.291, 0.28, 0.299, 0.271, 0.284 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_h": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_h", "label": "Gini index of monthly earnings of employees: Male, H. Transportation and storage (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.356, 0.357, 0.34, 0.34, 0.35, 0.327, 0.333, 0.335 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_i": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_i", "label": "Gini index of monthly earnings of employees: Male, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.27, 0.286, 0.302, 0.273, 0.26, 0.267, 0.262, 0.268 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_j": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_j", "label": "Gini index of monthly earnings of employees: Male, J. Information and communication (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.343, 0.374, 0.35, 0.329, 0.309, 0.327, 0.32, 0.356 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_k": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_k", "label": "Gini index of monthly earnings of employees: Male, K. Financial and insurance activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.356, 0.361, 0.371, 0.38, 0.367, 0.352, 0.341, 0.389 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_l": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_l", "label": "Gini index of monthly earnings of employees: Male, L. Real estate activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.35, 0.324, 0.312, 0.276, 0.318, 0.296, 0.272, 0.289 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_m": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_m", "label": "Gini index of monthly earnings of employees: Male, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.35, 0.385, 0.362, 0.383, 0.394, 0.394, 0.383, 0.38 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_n": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_n", "label": "Gini index of monthly earnings of employees: Male, N. Administrative and support service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.365, 0.379, 0.374, 0.346, 0.35, 0.329, 0.359, 0.339 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_o": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_o", "label": "Gini index of monthly earnings of employees: Male, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.353, 0.353, 0.386, 0.346, 0.38, 0.356, 0.342, 0.356 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_p": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_p", "label": "Gini index of monthly earnings of employees: Male, P. Education (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.379, 0.391, 0.371, 0.354, 0.375, 0.379, 0.375, 0.404 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_q": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_q", "label": "Gini index of monthly earnings of employees: Male, Q. Human health and social work activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.455, 0.409, 0.407, 0.419, 0.405, 0.43, 0.426, 0.444 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_r": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_r", "label": "Gini index of monthly earnings of employees: Male, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.361, 0.371, 0.302, 0.36, 0.327, 0.348, 0.327, 0.303 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_s": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_s", "label": "Gini index of monthly earnings of employees: Male, S. Other service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.325, 0.327, 0.336, 0.339, 0.335, 0.32, 0.332, 0.313 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic4_t": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic4_t", "label": "Gini index of monthly earnings of employees: Male, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.259, 0.249, 0.26, 0.242, 0.247, 0.232, 0.265, 0.26 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_sector_total": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_sector_total", "label": "Gini index of monthly earnings of employees: Female, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.524, 0.518, 0.513, 0.496, 0.513, 0.51, 0.503, 0.502 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_sector_agr": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_sector_agr", "label": "Gini index of monthly earnings of employees: Female, Agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.294, 0.237, 0.227, 0.238, 0.197, 0.176, 0.186, 0.276 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_sector_nag": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_sector_nag", "label": "Gini index of monthly earnings of employees: Female, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.523, 0.517, 0.511, 0.495, 0.513, 0.511, 0.504, 0.501 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_sector_ind": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_sector_ind", "label": "Gini index of monthly earnings of employees: Female, Industry (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.422, 0.418, 0.398, 0.361, 0.392, 0.362, 0.349, 0.384 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_sector_ser": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_sector_ser", "label": "Gini index of monthly earnings of employees: Female, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.52, 0.518, 0.508, 0.497, 0.516, 0.515, 0.511, 0.509 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_total": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_total", "label": "Gini index of monthly earnings of employees: Female, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.524, 0.518, 0.513, 0.496, 0.513, 0.51, 0.503, 0.502 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_agr": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_agr", "label": "Gini index of monthly earnings of employees: Female, Agriculture (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.294, 0.237, 0.227, 0.238, 0.197, 0.176, 0.186, 0.276 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_man": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_man", "label": "Gini index of monthly earnings of employees: Female, Manufacturing (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.341, 0.348, 0.345, 0.28, 0.33, 0.324, 0.274, 0.313 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_con": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_con", "label": "Gini index of monthly earnings of employees: Female, Construction (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.3, 0.311, 0.29, 0.282, 0.321, 0.266, 0.256, 0.377 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_mel": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_mel", "label": "Gini index of monthly earnings of employees: Female, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.489, 0.471, 0.397, 0.449, 0.444, 0.407, 0.416, 0.488 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_mkt": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_mkt", "label": "Gini index of monthly earnings of employees: Female, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.423, 0.451, 0.425, 0.424, 0.438, 0.434, 0.441, 0.461 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_pub": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_pub", "label": "Gini index of monthly earnings of employees: Female, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.542, 0.533, 0.526, 0.512, 0.531, 0.534, 0.527, 0.52 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_total": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_total", "label": "Gini index of monthly earnings of employees: Female, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.524, 0.518, 0.513, 0.496, 0.513, 0.51, 0.503, 0.502 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_a": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_a", "label": "Gini index of monthly earnings of employees: Female, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.294, 0.237, 0.227, 0.238, 0.197, 0.176, 0.186, 0.276 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_b": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_b", "label": "Gini index of monthly earnings of employees: Female, B. Mining and quarrying (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.334, 0.342, 0.268, 0.324, 0.066, 0.4, 0.412, 0.44 ], "flags": { "U": [ "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_c": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_c", "label": "Gini index of monthly earnings of employees: Female, C. Manufacturing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.341, 0.348, 0.345, 0.28, 0.33, 0.324, 0.274, 0.313 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_d": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_d", "label": "Gini index of monthly earnings of employees: Female, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.322, 0.239, 0.355, 0.328, 0.382, 0.333, 0.238, 0.438 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_e": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_e", "label": "Gini index of monthly earnings of employees: Female, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.364, 0.453, 0.352, 0.378, 0.296, 0.332, 0.411, 0.442 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_f": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_f", "label": "Gini index of monthly earnings of employees: Female, F. Construction (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.3, 0.311, 0.29, 0.282, 0.321, 0.266, 0.256, 0.377 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_g": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_g", "label": "Gini index of monthly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.298, 0.312, 0.315, 0.301, 0.288, 0.298, 0.272, 0.288 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_h": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_h", "label": "Gini index of monthly earnings of employees: Female, H. Transportation and storage (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.315, 0.349, 0.341, 0.36, 0.345, 0.317, 0.407, 0.405 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_i": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_i", "label": "Gini index of monthly earnings of employees: Female, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.39, 0.333, 0.343, 0.303, 0.312, 0.294, 0.324, 0.36 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_j": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_j", "label": "Gini index of monthly earnings of employees: Female, J. Information and communication (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.299, 0.342, 0.312, 0.275, 0.302, 0.294, 0.274, 0.341 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_k": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_k", "label": "Gini index of monthly earnings of employees: Female, K. Financial and insurance activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.336, 0.329, 0.363, 0.367, 0.402, 0.397, 0.38, 0.428 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_l": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_l", "label": "Gini index of monthly earnings of employees: Female, L. Real estate activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.208, 0.267, 0.226, 0.182, 0.131, 0.362, 0.276, 0.407 ], "flags": { "U": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_m": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_m", "label": "Gini index of monthly earnings of employees: Female, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.35, 0.414, 0.347, 0.379, 0.383, 0.375, 0.394, 0.421 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_n": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_n", "label": "Gini index of monthly earnings of employees: Female, N. Administrative and support service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.422, 0.447, 0.36, 0.421, 0.408, 0.434, 0.403, 0.419 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_o": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_o", "label": "Gini index of monthly earnings of employees: Female, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.46, 0.448, 0.495, 0.443, 0.472, 0.486, 0.472, 0.447 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_p": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_p", "label": "Gini index of monthly earnings of employees: Female, P. Education (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.502, 0.516, 0.481, 0.483, 0.519, 0.508, 0.514, 0.511 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_q": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_q", "label": "Gini index of monthly earnings of employees: Female, Q. Human health and social work activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.542, 0.497, 0.485, 0.446, 0.461, 0.495, 0.456, 0.471 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_r": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_r", "label": "Gini index of monthly earnings of employees: Female, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.264, 0.247, 0.28, 0.286, 0.239, 0.284, 0.37, 0.328 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_s": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_s", "label": "Gini index of monthly earnings of employees: Female, S. Other service activities (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.304, 0.349, 0.378, 0.377, 0.39, 0.382, 0.413, 0.336 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic4_t": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic4_t", "label": "Gini index of monthly earnings of employees: Female, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.383, 0.355, 0.347, 0.319, 0.325, 0.327, 0.316, 0.323 ] }, "ear_emtg_sex_eco_nb__sex_o__eco_sector_total": { "name": "ear_emtg_sex_eco_nb__sex_o__eco_sector_total", "label": "Gini index of monthly earnings of employees: Other, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.015, 0.335, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_o__eco_sector_nag": { "name": "ear_emtg_sex_eco_nb__sex_o__eco_sector_nag", "label": "Gini index of monthly earnings of employees: Other, Non-agriculture (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.015, 0.335, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_o__eco_sector_ser": { "name": "ear_emtg_sex_eco_nb__sex_o__eco_sector_ser", "label": "Gini index of monthly earnings of employees: Other, Services (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.009, 0.335, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_o__eco_aggregate_total": { "name": "ear_emtg_sex_eco_nb__sex_o__eco_aggregate_total", "label": "Gini index of monthly earnings of employees: Other, Total (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.015, 0.335, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_o__eco_aggregate_pub": { "name": "ear_emtg_sex_eco_nb__sex_o__eco_aggregate_pub", "label": "Gini index of monthly earnings of employees: Other, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.009, 0.316, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_o__eco_isic4_total": { "name": "ear_emtg_sex_eco_nb__sex_o__eco_isic4_total", "label": "Gini index of monthly earnings of employees: Other, Total (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.015, 0.335, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_total": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_total", "label": "Gini index of monthly earnings of employees: Total, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#2E4BD8", "data": [ 0.444, 0.445, 0.45, 0.435, 0.441, 0.437, 0.429, 0.432 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_ltb": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_ltb", "label": "Gini index of monthly earnings of employees: Total, Less than basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C47A16", "data": [ 0.359, 0.361, 0.367, 0.333, 0.337, 0.33, 0.322, 0.313 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_bas": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_bas", "label": "Gini index of monthly earnings of employees: Total, Basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#5F6675", "data": [ 0.344, 0.346, 0.349, 0.337, 0.326, 0.314, 0.312, 0.299 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_int": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_int", "label": "Gini index of monthly earnings of employees: Total, Intermediate (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#878D99", "data": [ 0.384, 0.388, 0.382, 0.375, 0.37, 0.367, 0.355, 0.355 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_adv": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_adv", "label": "Gini index of monthly earnings of employees: Total, Advanced (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#A3A9B4", "data": [ 0.38, 0.4, 0.387, 0.378, 0.383, 0.377, 0.377, 0.396 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_x": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_aggregate_x", "label": "Gini index of monthly earnings of employees: Total, Level not stated (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.312, null, null, null, null, null, null ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_total": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_total", "label": "Gini index of monthly earnings of employees: Total, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.444, 0.445, 0.45, 0.435, 0.441, 0.437, 0.429, 0.432 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_x": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_x", "label": "Gini index of monthly earnings of employees: Total, X. No schooling (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.357, 0.374, 0.363, 0.334, 0.345, 0.325, 0.326, 0.313 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_0": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_0", "label": "Gini index of monthly earnings of employees: Total, 0. Pre-primary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.355, 0.316, 0.364, 0.322, 0.304, 0.334, 0.294, 0.298 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_1": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_1", "label": "Gini index of monthly earnings of employees: Total, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.318, 0.319, 0.334, 0.322, 0.301, 0.299, 0.309, 0.294 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_2": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_2", "label": "Gini index of monthly earnings of employees: Total, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.344, 0.347, 0.349, 0.335, 0.327, 0.313, 0.309, 0.297 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_3": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_3", "label": "Gini index of monthly earnings of employees: Total, 3. Upper secondary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.38, 0.379, 0.382, 0.367, 0.364, 0.364, 0.344, 0.342 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_4": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_4", "label": "Gini index of monthly earnings of employees: Total, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.374, 0.399, 0.355, 0.37, 0.36, 0.361, 0.352, 0.356 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_5": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_5", "label": "Gini index of monthly earnings of employees: Total, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.376, 0.393, 0.386, 0.368, 0.374, 0.371, 0.372, 0.387 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_6": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_6", "label": "Gini index of monthly earnings of employees: Total, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.37, 0.387, 0.364, 0.369, 0.379, 0.366, 0.367, 0.389 ] }, "ear_emtg_sex_edu_nb__sex_t__edu_isced97_unk": { "name": "ear_emtg_sex_edu_nb__sex_t__edu_isced97_unk", "label": "Gini index of monthly earnings of employees: Total, Level not stated (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.312, null, null, null, null, null, null ] }, "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_total": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_total", "label": "Gini index of monthly earnings of employees: Male, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.415, 0.413, 0.423, 0.407, 0.41, 0.403, 0.394, 0.4 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_ltb": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_ltb", "label": "Gini index of monthly earnings of employees: Male, Less than basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.298, 0.292, 0.322, 0.278, 0.267, 0.27, 0.262, 0.252 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_bas": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_bas", "label": "Gini index of monthly earnings of employees: Male, Basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.32, 0.321, 0.325, 0.312, 0.299, 0.283, 0.281, 0.268 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_int": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_int", "label": "Gini index of monthly earnings of employees: Male, Intermediate (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.363, 0.371, 0.367, 0.36, 0.35, 0.346, 0.336, 0.335 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_adv": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_adv", "label": "Gini index of monthly earnings of employees: Male, Advanced (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.366, 0.384, 0.378, 0.368, 0.367, 0.365, 0.362, 0.383 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_x": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_aggregate_x", "label": "Gini index of monthly earnings of employees: Male, Level not stated (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.315, null, null, null, null, null, null ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_total": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_total", "label": "Gini index of monthly earnings of employees: Male, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.415, 0.413, 0.423, 0.407, 0.41, 0.403, 0.394, 0.4 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_x": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_x", "label": "Gini index of monthly earnings of employees: Male, X. No schooling (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.295, 0.305, 0.311, 0.275, 0.275, 0.257, 0.267, 0.253 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_0": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_0", "label": "Gini index of monthly earnings of employees: Male, 0. Pre-primary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.297, 0.261, 0.334, 0.282, 0.245, 0.289, 0.252, 0.243 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_1": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_1", "label": "Gini index of monthly earnings of employees: Male, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.281, 0.277, 0.297, 0.282, 0.263, 0.257, 0.252, 0.245 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_2": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_2", "label": "Gini index of monthly earnings of employees: Male, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.324, 0.326, 0.328, 0.315, 0.303, 0.286, 0.286, 0.272 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_3": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_3", "label": "Gini index of monthly earnings of employees: Male, 3. Upper secondary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.357, 0.361, 0.366, 0.352, 0.344, 0.342, 0.325, 0.323 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_4": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_4", "label": "Gini index of monthly earnings of employees: Male, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.364, 0.387, 0.345, 0.357, 0.347, 0.346, 0.337, 0.341 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_5": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_5", "label": "Gini index of monthly earnings of employees: Male, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.363, 0.379, 0.377, 0.357, 0.358, 0.357, 0.356, 0.372 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_6": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_6", "label": "Gini index of monthly earnings of employees: Male, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.352, 0.371, 0.35, 0.358, 0.355, 0.354, 0.347, 0.376 ] }, "ear_emtg_sex_edu_nb__sex_m__edu_isced97_unk": { "name": "ear_emtg_sex_edu_nb__sex_m__edu_isced97_unk", "label": "Gini index of monthly earnings of employees: Male, Level not stated (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 0.315, null, null, null, null, null, null ] }, "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_total": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_total", "label": "Gini index of monthly earnings of employees: Female, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.524, 0.518, 0.513, 0.496, 0.513, 0.51, 0.503, 0.502 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_ltb": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_ltb", "label": "Gini index of monthly earnings of employees: Female, Less than basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.347, 0.361, 0.342, 0.309, 0.32, 0.293, 0.293, 0.298 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_bas": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_bas", "label": "Gini index of monthly earnings of employees: Female, Basic (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.374, 0.362, 0.366, 0.353, 0.339, 0.323, 0.327, 0.318 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_int": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_int", "label": "Gini index of monthly earnings of employees: Female, Intermediate (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.465, 0.443, 0.43, 0.415, 0.437, 0.438, 0.409, 0.406 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_adv": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_aggregate_adv", "label": "Gini index of monthly earnings of employees: Female, Advanced (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.416, 0.432, 0.406, 0.398, 0.419, 0.405, 0.416, 0.424 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_total": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_total", "label": "Gini index of monthly earnings of employees: Female, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.524, 0.518, 0.513, 0.496, 0.513, 0.51, 0.503, 0.502 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_x": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_x", "label": "Gini index of monthly earnings of employees: Female, X. 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Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.359, 0.336, 0.339, 0.333, 0.32, 0.294, 0.331, 0.33 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_2": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_2", "label": "Gini index of monthly earnings of employees: Female, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.371, 0.36, 0.368, 0.351, 0.342, 0.329, 0.318, 0.311 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_3": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_3", "label": "Gini index of monthly earnings of employees: Female, 3. Upper secondary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.457, 0.428, 0.426, 0.399, 0.412, 0.416, 0.38, 0.373 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_4": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_4", "label": "Gini index of monthly earnings of employees: Female, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.414, 0.439, 0.39, 0.402, 0.4, 0.428, 0.424, 0.408 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_5": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_5", "label": "Gini index of monthly earnings of employees: Female, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.411, 0.421, 0.41, 0.392, 0.411, 0.407, 0.419, 0.422 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_6": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_6", "label": "Gini index of monthly earnings of employees: Female, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.404, 0.408, 0.384, 0.381, 0.413, 0.382, 0.4, 0.404 ] }, "ear_emtg_sex_edu_nb__sex_o__edu_aggregate_total": { "name": "ear_emtg_sex_edu_nb__sex_o__edu_aggregate_total", "label": "Gini index of monthly earnings of employees: Other, Total (aggregate levels)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.015, 0.335, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtg_sex_edu_nb__sex_o__edu_isced97_total": { "name": "ear_emtg_sex_edu_nb__sex_o__edu_isced97_total", "label": "Gini index of monthly earnings of employees: Other, Total (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.015, 0.335, null, 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"ear_emtm_sex_age_nb__sex_o__age_10yrbands_yge15": { "name": "ear_emtm_sex_age_nb__sex_o__age_10yrbands_yge15", "label": "Median monthly earnings of employees: Other, 15+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6488.109, 18783.195, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtm_sex_eco_nb__sex_t__eco_sector_total": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_sector_total", "label": "Median monthly earnings of employees: Total, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 10000, 10000, 11051.506, 12000, 12199.835, 13500, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_sector_agr": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_sector_agr", "label": "Median monthly earnings of employees: Total, Agriculture (broad sectors)", "unit": 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(broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#A3A9B4", "data": [ 11639.239, 10879.76, 12000, 12988.028, 13657.676, 15000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_total": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_total", "label": "Median monthly earnings of employees: Total, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10000, 10000, 11051.506, 12000, 12199.835, 13500, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_agr": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_agr", "label": "Median monthly earnings of employees: Total, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4726.963, 5485.708, 5224.706, 5902.261, 6971.342, 6390, 7496.667, 9000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_man": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_man", "label": "Median monthly earnings of employees: Total, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9895.456, 10000, 10759.322, 11748.085, 12000, 13000, 14500, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_con": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_con", "label": "Median monthly earnings of employees: Total, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5519.619, 5915.966, 6009.125, 6435.781, 7265.688, 6673.334, 7800, 12000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_mel": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_mel", "label": "Median monthly earnings of employees: Total, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14540.771, 14185.351, 14330.045, 15494.728, 15804.36, 17000, 17000, 18000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_mkt": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_mkt", "label": "Median monthly earnings of employees: Total, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11022.154, 11378.487, 12000, 13107.303, 14500.77, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_pub": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_pub", "label": "Median monthly earnings of employees: Total, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11236.191, 10368.901, 12168.193, 12733.784, 11985.582, 13500, 14200, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_total": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_total", "label": "Median monthly earnings of employees: Total, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10000, 10000, 11051.506, 12000, 12199.835, 13500, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_a": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_a", "label": "Median monthly earnings of employees: Total, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4726.963, 5485.708, 5224.706, 5902.261, 6971.342, 6390, 7496.667, 9000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_b": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_b", "label": "Median monthly earnings of employees: Total, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 17120.937, 18499.529, 17259.8, 22095.831, 15426.026, 25000, 18000, 19000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_c": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_c", "label": "Median monthly earnings of employees: Total, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9895.456, 10000, 10759.322, 11748.085, 12000, 13000, 14500, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_d": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_d", "label": "Median monthly earnings of employees: Total, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 17064.897, 16995.444, 17116.533, 17389.759, 19355.118, 15500, 19500, 21000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_e": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_e", "label": "Median monthly earnings of employees: Total, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11595.571, 9262.665, 11133.587, 12063.096, 10495.679, 12097.372, 13000, 14000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_f": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_f", "label": "Median monthly earnings of employees: Total, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5519.619, 5915.966, 6009.125, 6435.781, 7265.688, 6673.334, 7800, 12000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_g": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_g", "label": "Median monthly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8372.314, 9000, 9257.683, 9865.488, 10403.945, 12000, 12000, 12500 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_h": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_h", "label": "Median monthly earnings of employees: Total, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10625.494, 11158.574, 12134.854, 12602.919, 13416.305, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_i": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_i", "label": "Median monthly earnings of employees: Total, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8808.166, 9882.841, 9763.307, 9828.189, 11230.069, 12000, 12000, 14000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_j": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_j", "label": "Median monthly earnings of employees: Total, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 24740.683, 25133.268, 29490.002, 30614.992, 36531.115, 40000, 42500, 40000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_k": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_k", "label": "Median monthly earnings of employees: Total, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 19786.484, 20246.162, 19278.833, 20777.744, 22147.648, 25000, 25000, 25000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_l": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_l", "label": "Median monthly earnings of employees: Total, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13765.224, 12471.742, 12943.353, 13633.547, 13249.481, 20000, 16634.479, 20000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_m": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_m", "label": "Median monthly earnings of employees: Total, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 20389.614, 19247.712, 22687.548, 23298.036, 21864.181, 22000, 25000, 26000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_n": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_n", "label": "Median monthly earnings of employees: Total, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11019.196, 10358.132, 11480.938, 12637.952, 13786.825, 14000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_o": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_o", "label": "Median monthly earnings of employees: Total, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22121.599, 24118.156, 22143.441, 25865.855, 26738.184, 28000, 32000, 32500 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_p": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_p", "label": "Median monthly earnings of employees: Total, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 15571.264, 12527.037, 18217.266, 17703.082, 18132.42, 18616.245, 18500, 18000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_q": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_q", "label": "Median monthly earnings of employees: Total, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10126.814, 10509.485, 13041.146, 12721.434, 12083.029, 13000, 12500, 14500 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_r": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_r", "label": "Median monthly earnings of employees: Total, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10833.368, 13377.838, 9028.974, 10677.836, 10621.717, 15000, 16568.433, 15600 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_s": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_s", "label": "Median monthly earnings of employees: Total, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6450.848, 7258.156, 6897.108, 7755.959, 7733.1, 8500, 10000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_isic4_t": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_isic4_t", "label": "Median monthly earnings of employees: Total, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5175.598, 5233.808, 5000, 5445.945, 5742.455, 6500, 6500, 7500 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_sector_total": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_sector_total", "label": "Median monthly earnings of employees: Male, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, 12978.006, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_sector_agr": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_sector_agr", "label": "Median monthly earnings of employees: Male, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5758.71, 7006.321, 6793.814, 7456.729, 8562.302, 7500, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_sector_nag": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_sector_nag", "label": "Median monthly earnings of employees: Male, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12000, 12000, 12223.953, 13531.909, 14413.365, 15000, 15400, 16500 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_sector_ind": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_sector_ind", "label": "Median monthly earnings of employees: Male, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10000, 10255.258, 11752.132, 12000.616, 12861.823, 14000, 15000, 15500 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_sector_ser": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_sector_ser", "label": "Median monthly earnings of employees: Male, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 12255.152, 12000, 13547.645, 15000, 15000, 16000, 16500, 18000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_total": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_total", "label": "Median monthly earnings of employees: Male, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, 12978.006, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_agr": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_agr", "label": "Median monthly earnings of employees: Male, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5758.71, 7006.321, 6793.814, 7456.729, 8562.302, 7500, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_man": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_man", "label": "Median monthly earnings of employees: Male, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10000, 10228.772, 11748.399, 12000, 12845.818, 14000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_con": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_con", "label": "Median monthly earnings of employees: Male, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8593.837, 8569.447, 9103.123, 10471.302, 11801.156, 13000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_mel": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_mel", "label": "Median monthly earnings of employees: Male, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14777.23, 14728.274, 14543.405, 16338.226, 16105.402, 17614.695, 17000, 18000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_mkt": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_mkt", "label": "Median monthly earnings of employees: Male, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11020.972, 11382.209, 12000, 13003.788, 14496.134, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_pub": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_pub", "label": "Median monthly earnings of employees: Male, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 17999.136, 16106.745, 19621.981, 19333.464, 20056.685, 21547.462, 22000, 21000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_total": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_total", "label": "Median monthly earnings of employees: Male, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, 12978.006, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_a": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_a", "label": "Median monthly earnings of employees: Male, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5758.71, 7006.321, 6793.814, 7456.729, 8562.302, 7500, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_b": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_b", "label": "Median monthly earnings of employees: Male, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16620.146, 18533.06, 16812.125, 22470.984, 15395.104, 25000, 18000, 19000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_c": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_c", "label": "Median monthly earnings of employees: Male, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10000, 10228.772, 11748.399, 12000, 12845.818, 14000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_d": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_d", "label": "Median monthly earnings of employees: Male, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 16316.654, 16501.716, 16104.329, 17232.418, 19342.181, 15500, 18500, 20500 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_e": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_e", "label": "Median monthly earnings of employees: Male, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13050.077, 9412.77, 10943.724, 13208.94, 10698.004, 15000, 14168.231, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_f": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_f", "label": "Median monthly earnings of employees: Male, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8593.837, 8569.447, 9103.123, 10471.302, 11801.156, 13000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_g": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_g", "label": "Median monthly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8505.359, 9252.531, 9581.827, 10000, 10947.248, 12000, 12500, 13500 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_h": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_h", "label": "Median monthly earnings of employees: Male, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10470.51, 11043.89, 12221.929, 12603.967, 13421.274, 15000, 15000, 16000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_i": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_i", "label": "Median monthly earnings of employees: Male, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9669.996, 10300.48, 10021.249, 10127.29, 11711.04, 12000, 13500, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_j": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_j", "label": "Median monthly earnings of employees: Male, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 25000, 25130.239, 30524.635, 31253.295, 38104.969, 40000, 45000, 40000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_k": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_k", "label": "Median monthly earnings of employees: Male, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 19718.944, 20431.132, 18514.444, 21561.777, 22567.811, 25000, 25000, 25000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_l": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_l", "label": "Median monthly earnings of employees: Male, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14019.874, 14597.146, 13028.925, 13672.96, 12654.336, 20000, 15000, 20000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_m": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_m", "label": "Median monthly earnings of employees: Male, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22562.682, 19330.686, 23402.302, 23753.334, 20756.756, 25000, 25452.457, 27000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_n": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_n", "label": "Median monthly earnings of employees: Male, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11012.885, 10508.585, 11152.993, 12753.57, 14438.102, 14000, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_o": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_o", "label": "Median monthly earnings of employees: Male, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23753.438, 24993.117, 24953.29, 28249.877, 30333.031, 30000, 35000, 35000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_p": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_p", "label": "Median monthly earnings of employees: Male, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 22142.4, 21013.908, 26941.818, 28095.309, 30250.857, 30000, 31485.321, 30000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_q": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_q", "label": "Median monthly earnings of employees: Male, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13749.438, 14712.058, 19461.955, 15720.333, 14818.348, 18500, 16000, 18000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_r": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_r", "label": "Median monthly earnings of employees: Male, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10525.625, 13173.599, 9977.367, 10710.78, 10875.298, 15000, 18000, 17000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_s": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_s", "label": "Median monthly earnings of employees: Male, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8276.061, 8418.507, 8440.677, 9395.454, 8911.979, 10000, 12000, 12000 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_isic4_t": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_isic4_t", "label": "Median monthly earnings of employees: Male, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 9010.488, 9123.544, 9168.701, 9905.16, 9739.671, 12000, 12000, 12000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_sector_total": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_sector_total", "label": "Median monthly earnings of employees: Female, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6385.961, 6774.1, 7125.218, 7602.914, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_sector_agr": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_sector_agr", "label": "Median monthly earnings of employees: Female, Agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3635.405, 3786.019, 3733.44, 5207.175, 5866.436, 5800, 6280, 6450 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_sector_nag": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_sector_nag", "label": "Median monthly earnings of employees: Female, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6623.4, 7012.832, 7247.407, 7937.152, 8189.807, 8500, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_sector_ind": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_sector_ind", "label": "Median monthly earnings of employees: Female, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4849.489, 5334.64, 5695.094, 5950.26, 6601.98, 6500, 7371, 9000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_sector_ser": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_sector_ser", "label": "Median monthly earnings of employees: Female, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 7514.493, 7538.538, 8177.632, 8798.491, 8988.206, 10000, 10000, 10500 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_total": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_total", "label": "Median monthly earnings of employees: Female, Total (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6385.961, 6774.1, 7125.218, 7602.914, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_agr": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_agr", "label": "Median monthly earnings of employees: Female, Agriculture (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3635.405, 3786.019, 3733.44, 5207.175, 5866.436, 5800, 6280, 6450 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_man": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_man", "label": "Median monthly earnings of employees: Female, Manufacturing (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6521.111, 7711.087, 8000, 8653.345, 8382.145, 9398.904, 10000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_con": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_con", "label": "Median monthly earnings of employees: Female, Construction (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3299.417, 3633.596, 4252.605, 4526.599, 4859.204, 5200, 5642, 5980 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_mel": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_mel", "label": "Median monthly earnings of employees: Female, Mining and quarrying; Electricity, gas and water supply (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8334.67, 9579.664, 14539.507, 9301.737, 9927.344, 9034.714, 18338.504, 15000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_mkt": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_mkt", "label": "Median monthly earnings of employees: Female, Trade, Transportation, Accommodation and Food, and Business and Administrative Services (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10735.738, 11901.034, 14142.225, 14299.614, 14297.693, 15800, 15000, 15000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_pub": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_pub", "label": "Median monthly earnings of employees: Female, Public Administration, Community, Social and other Services and Activities (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6140.022, 6704.451, 7120.136, 7514.493, 7502.035, 8000, 8500, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_total": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_total", "label": "Median monthly earnings of employees: Female, Total (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6385.961, 6774.1, 7125.218, 7602.914, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_a": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_a", "label": "Median monthly earnings of employees: Female, A. Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3635.405, 3786.019, 3733.44, 5207.175, 5866.436, 5800, 6280, 6450 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_b": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_b", "label": "Median monthly earnings of employees: Female, B. Mining and quarrying (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 23555.808, 14686.294, 26578.499, 10526.586, 38748.902, 18675.512, 12000, 15799.486 ], "flags": { "U": [ "2020-01-01", "2021-01-01", "2022-01-01", "2024-01-01" ] } }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_c": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_c", "label": "Median monthly earnings of employees: Female, C. Manufacturing (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6521.111, 7711.087, 8000, 8653.345, 8382.145, 9398.904, 10000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_d": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_d", "label": "Median monthly earnings of employees: Female, D. Electricity; gas, steam and air conditioning supply (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 18208.684, 16029.184, 19106.816, 19203.455, 15214.159, 15523.347, 34296.58, 27000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_e": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_e", "label": "Median monthly earnings of employees: Female, E. Water supply; sewerage, waste management and remediation activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4819.821, 7754.224, 10727.033, 8121.134, 7041.338, 7566.913, 7464.252, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_f": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_f", "label": "Median monthly earnings of employees: Female, F. Construction (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3299.417, 3633.596, 4252.605, 4526.599, 4859.204, 5200, 5642, 5980 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_g": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_g", "label": "Median monthly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles and motorcycles (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 7272.583, 7680.473, 8072.266, 8074.646, 9144.388, 9500, 10000, 10000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_h": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_h", "label": "Median monthly earnings of employees: Female, H. Transportation and storage (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 19332.154, 15828.641, 17203.683, 14684.341, 16045.195, 31141.227, 19062.529, 19000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_i": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_i", "label": "Median monthly earnings of employees: Female, I. Accommodation and food service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 5080.776, 5480.531, 6212.886, 7268.557, 7893.643, 8000, 9000, 9500 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_j": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_j", "label": "Median monthly earnings of employees: Female, J. Information and communication (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 21281.249, 23676.978, 27297.252, 29352.397, 32495.256, 36000, 40000, 35000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_k": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_k", "label": "Median monthly earnings of employees: Female, K. Financial and insurance activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 20770.709, 25608.97, 19484.219, 20029.099, 20451.845, 21000, 22993.5, 22500 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_l": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_l", "label": "Median monthly earnings of employees: Female, L. Real estate activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 10014.678, 6820.099, 9045.968, 7060.205, 12689.483, 10670.068, 22230.538, 20000 ], "flags": { "U": [ "2018-01-01", "2019-01-01", "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01" ] } }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_m": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_m", "label": "Median monthly earnings of employees: Female, M. Professional, scientific and technical activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 14079.994, 20091.428, 19847.681, 20165.896, 21944.557, 20000, 20000, 25000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_n": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_n", "label": "Median monthly earnings of employees: Female, N. Administrative and support service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8122.747, 10142.36, 11650.653, 11450.302, 10260.844, 12000, 12000, 12000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_o": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_o", "label": "Median monthly earnings of employees: Female, O. Public administration and defence; compulsory social security (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 13583.361, 15863.503, 9433.848, 13017.292, 13753.826, 12000, 19371.521, 18000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_p": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_p", "label": "Median monthly earnings of employees: Female, P. Education (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8438.243, 7941.526, 10030.724, 10538.861, 9541.168, 11306.73, 12000, 12000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_q": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_q", "label": "Median monthly earnings of employees: Female, Q. Human health and social work activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 8008.458, 7940.272, 8456.974, 10509.962, 9774.4, 10000, 10000, 11000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_r": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_r", "label": "Median monthly earnings of employees: Female, R. Arts, entertainment and recreation (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 11646.431, 14830.738, 14031.691, 8426.406, 6809.3, 14020.556, 14534.792, 12000 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_s": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_s", "label": "Median monthly earnings of employees: Female, S. Other service activities (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 4760.783, 4970.55, 4386.003, 4906.769, 4642.941, 6000, 7000, 7500 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_isic4_t": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_isic4_t", "label": "Median monthly earnings of employees: Female, T. Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use (ISIC Rev.4)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 3606.175, 4272.309, 3875.424, 4514.092, 4535.876, 5000, 5500, 6000 ] }, "ear_emtm_sex_eco_nb__sex_o__eco_sector_total": { "name": "ear_emtm_sex_eco_nb__sex_o__eco_sector_total", "label": "Median monthly earnings of employees: Other, Total (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 6488.109, 18783.195, null, null, null, null, null, null ], "withheld": [ "2020-01-01", "2021-01-01", "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "flags": { "U": [ "2018-01-01", "2019-01-01" ] } }, "ear_emtm_sex_eco_nb__sex_o__eco_sector_nag": { "name": "ear_emtm_sex_eco_nb__sex_o__eco_sector_nag", "label": "Median monthly earnings of employees: Other, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and 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"name": "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_bas", "label": "Median monthly earnings of employees: Total, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#5F6675", "data": [ 8371.073, 8924.611, 9412.455, 10000, 10000, 11000, 12000, 12047.395 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_int": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_int", "label": "Median monthly earnings of employees: Total, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#878D99", "data": [ 12000, 12000, 12415.358, 12530.664, 13243.98, 15000, 15000, 15000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_adv": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_adv", "label": "Median monthly earnings of employees: Total, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#A3A9B4", "data": [ 21135.888, 20000, 24545.91, 24505.033, 25417.783, 28000, 28355.246, 29100 ] }, 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No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 5414.545, 5535.429, 5987.772, 6132.873, 7053.118, 6808.223, 7000, 8000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_0": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_0", "label": "Median monthly earnings of employees: Total, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6588.237, 7140.32, 6504.921, 7528.331, 8688.747, 8000, 9259.012, 10000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_1": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_1", "label": "Median monthly earnings of employees: Total, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 7538.997, 7810.94, 8221.547, 8230.112, 8844.135, 9500, 10000, 12000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_2": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_2", "label": "Median monthly earnings of employees: Total, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 9000, 9630.259, 9565.942, 10000, 10368.989, 12000, 12000, 13000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_3": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_3", "label": "Median monthly earnings of employees: Total, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11376.116, 10781.625, 11877.102, 12000, 12122.785, 14000, 14800, 15000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_4": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_4", "label": "Median monthly earnings of employees: Total, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 14942.879, 13689.852, 17167.769, 15267.495, 15837.681, 17000, 18000, 20000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_5": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_5", "label": "Median monthly earnings of employees: Total, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 20000, 18487.924, 20253.202, 20536.696, 24749.504, 25000, 25000, 25000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_6": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_6", "label": "Median monthly earnings of employees: Total, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 26295.931, 27518.078, 30557.573, 30617.748, 33006.042, 35000, 35000, 38000 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_unk": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_unk", "label": "Median monthly earnings of employees: Total, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 8390.141, null, null, null, null, null, null ] }, "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_total": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_total", "label": "Median monthly earnings of employees: Male, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, 12978.006, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_ltb": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_ltb", "label": "Median monthly earnings of employees: Male, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 7604.61, 8132.138, 7793.284, 9152.848, 10000, 10000, 12000, 12000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_bas": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_bas", "label": "Median monthly earnings of employees: Male, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 9255.781, 10000, 10000, 10494.891, 11750.705, 12000, 13000, 14500 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_int": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_int", "label": "Median monthly earnings of employees: Male, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 12126.182, 12128.948, 13164.266, 13989.771, 14752.946, 15000, 15000, 16700 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_adv": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_adv", "label": "Median monthly earnings of employees: Male, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 23241.555, 22050.965, 25000, 25525.954, 28385.174, 30000, 30000, 30000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_x": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_aggregate_x", "label": "Median monthly earnings of employees: Male, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 10029.235, null, null, null, null, null, null ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_total": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_total", "label": "Median monthly earnings of employees: Male, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, 12978.006, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_x": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_x", "label": "Median monthly earnings of employees: Male, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 7583.359, 8112.289, 7903.798, 9022.078, 9641.409, 10000, 11640.62, 12000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_0": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_0", "label": "Median monthly earnings of employees: Male, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 8124.664, 8306.599, 8000, 9188.072, 10632.777, 10500, 12000, 12356.054 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_1": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_1", "label": "Median monthly earnings of employees: Male, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 8000, 8590.967, 9276.963, 9589.282, 10000, 11500, 12500, 13000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_2": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_2", "label": "Median monthly earnings of employees: Male, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 9876.929, 10000, 10055.763, 11431.01, 11873.737, 12000, 13000, 15000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_3": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_3", "label": "Median monthly earnings of employees: Male, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 12000, 12000, 12145.075, 12527.773, 13591.254, 15000, 15000, 15000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_4": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_4", "label": "Median monthly earnings of employees: Male, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 15000, 13844.925, 17549.083, 15954.151, 16463.738, 18000, 19000, 20000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_5": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_5", "label": "Median monthly earnings of employees: Male, 5. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 20000, 20000, 21102.755, 23048.183, 25086.553, 26000, 26000, 27000 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_6": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_6", "label": "Median monthly earnings of employees: Male, 6. Second stage of tertiary education (leading to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 28663.819, 28220.048, 34443.053, 32684.441, 38218.682, 38000, 40000, 40164.368 ] }, "ear_emtm_sex_edu_nb__sex_m__edu_isced97_unk": { "name": "ear_emtm_sex_edu_nb__sex_m__edu_isced97_unk", "label": "Median monthly earnings of employees: Male, Level not stated (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ null, 10029.235, null, null, null, null, null, null ] }, "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_total": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_total", "label": "Median monthly earnings of employees: Female, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6385.961, 6774.1, 7125.218, 7602.914, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_ltb": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_ltb", "label": "Median monthly earnings of employees: Female, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 3743.012, 4351.003, 4365.715, 4898.875, 4999.856, 5460, 6000, 6240 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_bas": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_bas", "label": "Median monthly earnings of employees: Female, Basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 5138.191, 5302.769, 5862.425, 6011.315, 6127.487, 7000, 7200, 8000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_int": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_int", "label": "Median monthly earnings of employees: Female, Intermediate (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 7887.125, 8421.8, 9218.633, 8861.41, 9413.111, 9574.435, 10000, 11000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_adv": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_aggregate_adv", "label": "Median monthly earnings of employees: Female, Advanced (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 16827.303, 15632.457, 18982.274, 18950.568, 20000, 24500, 23670.279, 25000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_total": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_total", "label": "Median monthly earnings of employees: Female, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6385.961, 6774.1, 7125.218, 7602.914, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_x": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_x", "label": "Median monthly earnings of employees: Female, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 3769.406, 4327.909, 4269.351, 4877.223, 4941.173, 5416.667, 6000, 6000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_0": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_0", "label": "Median monthly earnings of employees: Female, 0. Pre-primary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 3561.323, 4167.008, 4685.219, 5098.749, 5457.138, 5500, 7000, 7386.283 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_1": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_1", "label": "Median monthly earnings of employees: Female, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 4403.258, 4453.927, 4921.639, 5289.928, 5814.445, 6000, 6066.667, 7390.724 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_2": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_2", "label": "Median monthly earnings of employees: Female, 2. Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 5627.654, 5745.89, 6179.02, 6520.371, 6382.25, 7280, 8000, 8000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_3": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_3", "label": "Median monthly earnings of employees: Female, 3. Upper secondary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6862.966, 8105.996, 8364.376, 8000, 8297.952, 8500, 10000, 10000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_4": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_4", "label": "Median monthly earnings of employees: Female, 4. Post-secondary non-tertiary education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 11450.661, 10138.723, 13460.417, 12529.75, 14097.101, 13000, 13500, 15000 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_5": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_5", "label": "Median monthly earnings of employees: Female, 5. 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Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 34230.055, 35600, 37500, 40000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_2": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_2", "label": "Median monthly earnings of employees: Total, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 27412.143, 30000, 32000, 32000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_3": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_3", "label": "Median monthly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 17004.155, 18000, 20000, 20000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_4": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_4", "label": "Median monthly earnings of employees: Total, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 16436.6, 18000, 20000, 19500 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_5": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_5", "label": "Median monthly earnings of employees: Total, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 10128.054, 12000, 12000, 12000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_6": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_6", "label": "Median monthly earnings of employees: Total, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 8997.531, 8000, 9500, 10000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_7": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_7", "label": "Median monthly earnings of employees: Total, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 11604.265, 12600, 14500, 15000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_8": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_8", "label": "Median monthly earnings of employees: Total, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 12363.528, 13500, 15000, 15000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_9": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco08_9", "label": "Median monthly earnings of employees: Total, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 7870.364, 8000, 9000, 10000 ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_total": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_total", "label": "Median monthly earnings of employees: Total, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10000, 10000, 11051.506, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_1": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_1", "label": "Median monthly earnings of employees: Total, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 27645.266, 29585.095, 34069.376, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_2": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_2", "label": "Median monthly earnings of employees: Total, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 24526.711, 22170.278, 26346.58, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_3": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_3", "label": "Median monthly earnings of employees: Total, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 16227.074, 15270.803, 16129.515, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_4": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_4", "label": "Median monthly earnings of employees: Total, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 15000, 15000, 15768.791, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_5": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_5", "label": "Median monthly earnings of employees: Total, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 8000, 8509.772, 8994.951, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_6": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_6", "label": "Median monthly earnings of employees: Total, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 7282.179, 8595.486, 9394.974, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_7": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_7", "label": "Median monthly earnings of employees: Total, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 9325.862, 9611.912, 10361.285, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_8": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_8", "label": "Median monthly earnings of employees: Total, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10000, 10454.84, 10975.91, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_9": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_9", "label": "Median monthly earnings of employees: Total, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6422.067, 6854.671, 7129.912, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_x": { "name": "ear_emtm_sex_ocu_nb__sex_t__ocu_isco88_x", "label": "Median monthly earnings of employees: Total, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 3564.985, 10207.089, 12850.095, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_total": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_total", "label": "Median monthly earnings of employees: Male, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, 12978.006, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_l3_4": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_l3_4", "label": "Median monthly earnings of employees: Male, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25000, 24511.92, 27221.757, 26301.132, 29690.703, 30000, 32000, 34983.584 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_l2": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_l2", "label": "Median monthly earnings of employees: Male, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10000, 10247.214, 11475.125, 12000, 12124.509, 14000, 15000, 15000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_l1": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_l1", "label": "Median monthly earnings of employees: Male, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 7865.881, 8634.079, 8932.298, 9437.407, 9733.524, 10000, 12000, 12500 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_x": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_skill_x", "label": "Median monthly earnings of employees: Male, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6138.738, 11121.537, 14370.537, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_total": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_total", "label": "Median monthly earnings of employees: Male, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 14370.854, 15000, 15000, 16000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_1": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_1", "label": "Median monthly earnings of employees: Male, 1. Managers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 33033.374, 36665.629, 37854.235, 40000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_2": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_2", "label": "Median monthly earnings of employees: Male, 2. Professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 32741.104, 35000, 35000, 35000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_3": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_3", "label": "Median monthly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 19548.047, 22000, 22701.52, 25000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_4": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_4", "label": "Median monthly earnings of employees: Male, 4. Clerical support workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 17614.315, 20000, 20000, 20000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_5": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_5", "label": "Median monthly earnings of employees: Male, 5. Service and sales workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 12000, 12000, 12500, 14000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_6": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_6", "label": "Median monthly earnings of employees: Male, 6. Skilled agricultural, forestry and fishery workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 10219.774, 10000, 10000, 12000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_7": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_7", "label": "Median monthly earnings of employees: Male, 7. Craft and related trades workers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 11871.119, 13500, 15000, 15000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_8": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_8", "label": "Median monthly earnings of employees: Male, 8. Plant and machine operators, and assemblers (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 12607.126, 14000, 15000, 15000 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_9": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco08_9", "label": "Median monthly earnings of employees: Male, 9. Elementary occupations (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 9733.524, 10000, 12000, 12500 ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_total": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_total", "label": "Median monthly earnings of employees: Male, Total (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11927.736, 12000, 12139.901, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_1": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_1", "label": "Median monthly earnings of employees: Male, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 28373.785, 28937.394, 35360.532, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_2": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_2", "label": "Median monthly earnings of employees: Male, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 25137.025, 24740.323, 28285.844, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_3": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_3", "label": "Median monthly earnings of employees: Male, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 20000, 21060.679, 21308.893, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_4": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_4", "label": "Median monthly earnings of employees: Male, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 15238.408, 15508.316, 16422.38, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_5": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_5", "label": "Median monthly earnings of employees: Male, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 9382.423, 9624.11, 10000, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_6": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_6", "label": "Median monthly earnings of employees: Male, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 7769.031, 9904.609, 10062.888, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_7": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_7", "label": "Median monthly earnings of employees: Male, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10000, 10000, 10809.561, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_8": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_8", "label": "Median monthly earnings of employees: Male, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 10000, 10463.151, 11485.587, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_9": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_9", "label": "Median monthly earnings of employees: Male, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 7865.881, 8634.079, 8932.298, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_x": { "name": "ear_emtm_sex_ocu_nb__sex_m__ocu_isco88_x", "label": "Median monthly earnings of employees: Male, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6138.738, 11121.537, 14370.537, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_total": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_total", "label": "Median monthly earnings of employees: Female, Total (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6385.961, 6774.1, 7125.218, 7602.914, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_l3_4": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_l3_4", "label": "Median monthly earnings of employees: Female, Skill levels 3 and 4 ~ high (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 11517.889, 12285.754, 14918.19, 15367.257, 15403.826, 18000, 19000, 20000 ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_l2": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_l2", "label": "Median monthly earnings of employees: Female, Skill level 2 ~ medium (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 6110.991, 6421.477, 6815.315, 7758.759, 8005.295, 9000, 9275.077, 10000 ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_l1": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_l1", "label": "Median monthly earnings of employees: Female, Skill level 1 ~ low (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 3884.423, 4321.362, 4704.364, 4949.407, 5399.836, 5800, 6339.667, 7000 ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_x": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_skill_x", "label": "Median monthly earnings of employees: Female, X - Not elsewhere classified (skill level)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ 1639.884, 8954.067, 9575.797, null, null, null, null, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco08_total": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco08_total", "label": "Median monthly earnings of employees: Female, Total (ISCO-08)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, null, null, 8004.999, 8000, 9000, 10000 ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco08_1": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco08_1", "label": "Median monthly earnings of employees: Female, 1. 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