{ "meta": { "dossier": "ilo", "source": "ILO, ILOSTAT (HS - National Sample Survey)", "product": "ILOSTAT EAR: 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; Average monthly earnings of tourism sector employees", "base": "NSS employment-unemployment rounds, ILO processing", "instrument": "nss", "frequency": "annual", "unit": "inr, gini", "vintage": "2026-10-02", "geo": "IND", "latestPeriod": "2012", "releaseDate": null, "flows": [ "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_TMTA_SEX_NB" ], "coverage": "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; Average monthly earnings of tourism sector employees. HS - National Sample 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 NSS unit-level data. Each round runs July to June and is labelled by the year it ends (2012 = July 2011 to June 2012). Observations flagged U are ones the ILO itself marks unreliable.", "sourceNotes": [ "INR: Indian rupee (2027 obs.)", "Data reference period: Noncalendar year (560 obs.)" ] }, "dates": [ "2005-01-01", "2010-01-01", "2012-01-01" ], "series": { "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2179.225, 4694.926, 6034.416 ] }, "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, 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10309.524, 12762.523 ] }, "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": [ 7273.789, 14193.633, 17534.477 ] }, "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": [ 2344.58, 4205.407, 6425.953 ] }, "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 age", "color": "#C9CED6", "data": [ 5121.703, 9585.423, 11910.637 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_y15_24": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_y15_24", "label": "Average monthly earnings of employees: Total, 15-24 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 2179.225, 4694.926, 6034.416 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_y25_34": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_y25_34", "label": "Average monthly earnings of employees: Total, 25-34 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 4368.935, 8684.773, 10467.765 ] }, "ear_emta_sex_age_nb__sex_t__age_10yrbands_y35_44": { "name": "ear_emta_sex_age_nb__sex_t__age_10yrbands_y35_44", "label": "Average monthly earnings of employees: Total, 35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 5860.922, 10318.692, 12969.199 ] }, "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": [ 7688.742, 12977.551, 16512.579 ] }, "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": [ 7273.789, 14193.633, 17534.477 ] }, "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": [ 2344.58, 4205.407, 6425.953 ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2200.995, 4709.354, 6152.721 ] }, "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": [ 6202.53, 11046.352, 13775.847 ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2200.995, 4709.354, 6152.721 ] }, "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": [ 6093.858, 10761.645, 13402.112 ] }, "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": [ 7997.079, 15065.486, 18891.489 ] }, "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": [ 2762.967, 4492.928, 7179.97 ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2200.995, 4709.354, 6152.721 ] }, "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": [ 4543.95, 8872.047, 10700.316 ] }, "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": [ 6265.035, 10873.76, 13894.131 ] }, "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": [ 8202.712, 13673.373, 17421.71 ] }, "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 bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 7997.079, 15065.486, 18891.489 ] }, "ear_emta_sex_age_nb__sex_m__age_10yrbands_yge65": { "name": "ear_emta_sex_age_nb__sex_m__age_10yrbands_yge65", "label": "Average monthly earnings of employees: Male, 65+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 2762.967, 4492.928, 7179.97 ] }, "ear_emta_sex_age_nb__sex_f__age_ythadult_yge15": { "name": "ear_emta_sex_age_nb__sex_f__age_ythadult_yge15", "label": "Average monthly earnings of employees: Female, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3787.866, 7604.418, 9220.648 ] }, "ear_emta_sex_age_nb__sex_f__age_ythadult_y15_24": { "name": "ear_emta_sex_age_nb__sex_f__age_ythadult_y15_24", "label": "Average monthly earnings of employees: Female, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 2085.706, 4639.497, 5608.834 ] }, "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": [ 4184.648, 8288.966, 10026.441 ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 2085.706, 4639.497, 5608.834 ] }, "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": [ 4238.728, 8242.838, 10100.544 ] }, "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": [ 4089.281, 9552.789, 10116.345 ] }, "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": [ 1073.612, 2660.327, 3398.679 ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 2085.706, 4639.497, 5608.834 ] }, "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": [ 3615.542, 7833.752, 9484.81 ] }, "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": [ 4346.805, 7931.54, 9406.155 ] }, "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": [ 5132.15, 9467.66, 12380.916 ] }, "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": [ 4089.281, 9552.789, 10116.345 ] }, "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": [ 1073.612, 2660.327, 3398.679 ] }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2030.104, 3712.527, 5776.816 ] }, "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": [ 5289.847, 9775.979, 12052.81 ] }, "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": [ 4623.599, 8350.761, 10477.861 ] }, "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": [ 5648.851, 10373.662, 12764.657 ] }, "ear_emta_sex_eco_nb__sex_t__eco_sector_x": { "name": "ear_emta_sex_eco_nb__sex_t__eco_sector_x", "label": "Average monthly earnings of employees: Total, X - Not elsewhere classified (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1508.539, null, null ] }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2030.104, 3712.527, 5776.816 ] }, "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": [ 4030.062, 7599.793, 9288.172 ] }, "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": [ 4206.492, 8941.247, 10824.125 ] }, "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 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"ear_emta_sex_eco_nb__sex_t__eco_aggregate_x": { "name": "ear_emta_sex_eco_nb__sex_t__eco_aggregate_x", "label": "Average monthly earnings of employees: Total, X - Not elsewhere classified (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1508.539, null, null ] }, "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": [ null, null, 11910.637 ] }, "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": [ null, null, 5776.816 ] }, "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": [ null, null, 24742.664 ] }, "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": [ null, null, 9288.172 ] }, "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": [ null, null, 19322.364 ] }, "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": [ null, null, 9572.532 ] }, "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": [ null, null, 10824.125 ] }, "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": [ null, null, 6708.938 ] }, "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": [ null, null, 10544.363 ] }, "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": [ null, null, 7450.72 ] }, "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": [ null, null, 23414.086 ] }, "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": [ null, null, 21447.361 ] }, "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": [ null, null, 11856.451 ] }, "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": [ null, null, 17714.5 ] }, "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": [ null, null, 10064.085 ] }, "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": [ null, null, 17466.713 ] }, "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": [ null, null, 14615.343 ] }, "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": [ null, null, 13686.213 ] }, "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": [ null, null, 9660.613 ] }, "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": [ null, null, 4851.388 ] }, "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": [ null, null, 3874.071 ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2122.529, 4031.41, 6685.827 ] }, "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": [ 5616.91, 10223.241, 12685.648 ] }, "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": [ 4916.357, 8623.723, 10978.727 ] }, "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": [ 6004.771, 11000.394, 13589.859 ] }, "ear_emta_sex_eco_nb__sex_m__eco_sector_x": { "name": "ear_emta_sex_eco_nb__sex_m__eco_sector_x", "label": "Average monthly earnings of employees: Male, X - Not elsewhere classified (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1928.367, null, null ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2122.529, 4031.41, 6685.827 ] }, "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": [ 4312.596, 7950.333, 9804.614 ] }, "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": [ 4197.041, 8835.072, 10977.778 ] }, "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": [ 9503.995, 13170.364, 18852.199 ] }, "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": [ 5088.09, 9172.769, 11954.343 ] }, "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": [ 7040.704, 13188.269, 15907.825 ] }, "ear_emta_sex_eco_nb__sex_m__eco_aggregate_x": { "name": "ear_emta_sex_eco_nb__sex_m__eco_aggregate_x", "label": "Average monthly earnings of employees: Male, X - Not elsewhere classified (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1928.367, null, null ] }, "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": [ null, null, 12562.921 ] }, "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": [ null, null, 6685.827 ] }, "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": [ null, null, 25907.054 ] }, "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": [ null, null, 9804.614 ] }, "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": [ null, null, 18988.098 ] }, "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": [ null, null, 10306.889 ] }, "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": [ null, null, 10977.778 ] }, "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": [ null, null, 6812.491 ] }, "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": [ null, null, 10490.93 ] }, "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": [ null, null, 7591.576 ] }, "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": [ null, null, 23249.056 ] }, "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": [ null, null, 21934.836 ] }, "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": [ null, null, 11687.454 ] }, "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": [ null, null, 17838.63 ] }, "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": [ null, null, 9913.284 ] }, "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": [ null, null, 18001.85 ] }, "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": [ null, null, 17027.86 ] }, "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": [ null, null, 16241.215 ] }, "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": [ null, null, 9304.654 ] }, "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": [ null, null, 6295.118 ] }, "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": [ null, null, 6062.687 ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 1633.457, 2232.744, 3359.398 ] }, "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": [ 3903.846, 7773.655, 9412.657 ] }, "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": [ 2261.431, 5760.794, 6098.919 ] }, "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": [ 4384.494, 8140.859, 10068.637 ] }, "ear_emta_sex_eco_nb__sex_f__eco_sector_x": { "name": "ear_emta_sex_eco_nb__sex_f__eco_sector_x", "label": "Average monthly earnings of employees: Female, X - Not elsewhere classified (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1129.752, null, null ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 1633.457, 2232.744, 3359.398 ] }, "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": [ 1995.584, 4587.209, 5055.437 ] }, "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": [ 4348.799, 10909.705, 8389.883 ] }, "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": [ 6231.809, 15513.148, 13102.174 ] }, "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": [ 6422.949, 10929.009, 14053.502 ] }, "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": [ 4045.585, 7599.274, 9056.392 ] }, "ear_emta_sex_eco_nb__sex_f__eco_aggregate_x": { "name": "ear_emta_sex_eco_nb__sex_f__eco_aggregate_x", "label": "Average monthly earnings of employees: Female, X - Not elsewhere classified (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1129.752, null, null ] }, "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": [ null, null, 9220.648 ] }, "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": [ null, null, 3359.398 ] }, "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": [ null, null, 11313.158 ] }, "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": [ null, null, 5055.437 ] }, "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": [ null, null, 22442.815 ] }, "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": [ null, null, 3649.214 ] }, "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": [ null, null, 8389.883 ] }, "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": [ null, null, 5656.287 ] }, "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": [ null, null, 12893.655 ] }, "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": [ null, null, 6107.086 ] }, "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": [ null, null, 24247.881 ] }, "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": [ null, null, 19073.147 ] }, "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": [ null, null, 17174.144 ] }, "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": [ null, null, 11129.584 ] }, "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": [ null, null, 13716.575 ] }, "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": [ null, null, 11343.875 ] }, "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": [ null, null, 10252.676 ] }, "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": [ null, null, 14394.737 ], "flags": { "U": [ "2012-01-01" ] } }, "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": [ null, null, 2838.244 ] }, "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": [ null, null, 2892.527 ] }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2258.996, 3935.646, 5151.111 ] }, "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": [ 3622.242, 6037.551, 7444.377 ] }, "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": [ 6278.552, 10355.216, 12086.119 ] }, "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": [ 9687.365, 16675.493, 21157.044 ] }, "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": [ 5169.99, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2172.327, 3664.68, 4859.142 ] }, "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": [ 2486.443, 4466.953, 5667.403 ] }, "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": [ 2788.713, 4378.165, 5792.645 ] }, "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": [ 3922.169, 6528.454, 7934.298 ] }, "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": [ 5596.43, 9341.759, 11073.392 ] }, "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": [ 7493.858, 12652.352, 14446.787 ] }, "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": [ 8906.316, 15078.226, 19123.433 ] }, "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": [ 11694.21, 20577.57, 25362.014 ] }, "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": [ 5169.99, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2689.156, 4544.596, 5944.587 ] }, "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": [ 3801.157, 6356.662, 7924.364 ] }, "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": [ 6454.772, 10802.955, 12533.287 ] }, "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": [ 10282.178, 17504.67, 22392.483 ] }, "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": [ 5446.027, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 2651.927, 4361.279, 5788.749 ] }, "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": [ 2769.727, 4825.897, 6164.916 ] }, "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": [ 2952.59, 4679.264, 6373.797 ] }, "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": [ 4099.704, 6830.052, 8349.642 ] }, "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": [ 5804.149, 9799.219, 11544.612 ] }, "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": [ 7696.685, 13254.395, 14940.393 ] }, "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": [ 9395.129, 15780.556, 20217.852 ] }, "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": [ 12664.348, 22067.585, 27239.983 ] }, "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": [ 5446.027, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 1354.452, 2532.273, 3402.286 ] }, "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": [ 2388.849, 3835.929, 4547.574 ] }, "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": [ 5468.943, 8103.594, 9799.703 ] }, "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": [ 7513.71, 13668.753, 16919.747 ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 1319.109, 2439.262, 3271.093 ] }, "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": [ 1503.622, 2888.955, 3808.076 ] }, "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": [ 1790.756, 2772.951, 3360.207 ] }, "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": [ 2638.662, 4259.299, 5081.911 ] }, "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": [ 4494.488, 6689.08, 8459.737 ] }, "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": [ 6751.773, 10366.059, 12326.38 ] }, "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": [ 7013.334, 12237.917, 14931.594 ] }, "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": [ 8615.04, 16334.924, 20138.261 ] }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 4015.442, 6967.11, 8975.975 ] }, "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": [ 5827.657, 11015.55, 13544.044 ] }, "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": [ 5436.252, 10027.429, 12562.921 ] }, "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": [ 4355.33, 7506.415, 9701.566 ] }, "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": [ 6129.128, 11387.62, 14154.998 ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 2553.291, 4651.371, 5986.939 ] }, "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": [ 4560.868, 9307.657, 11022.967 ] }, "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": [ null, null, 11910.637 ] }, "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": [ null, null, 5080.096 ] }, "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": [ null, null, 9197.606 ] }, "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": [ null, null, 10063.066 ] }, "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": [ null, null, 6708.938 ] }, "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": [ null, null, 10824.125 ] }, "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": [ null, null, 14776.263 ] }, "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": [ null, null, 16774.81 ] }, "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": [ null, null, 7374.452 ] }, "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": [ null, null, 7918.532 ] }, "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": [ null, null, 13891.271 ] }, "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": [ null, null, 7894.333 ] }, "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": [ null, null, 13172.235 ] }, "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": [ null, null, 22116.889 ] }, "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": [ null, null, 19768.999 ] }, "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": [ null, null, 48025.861 ] }, "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": [ null, null, 14543.826 ] }, "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": [ null, null, 17466.713 ] }, "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": [ null, null, 33431.358 ] }, "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": [ null, null, 6159.371 ] }, "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": [ null, null, 10066.754 ] }, "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": [ null, null, 20251.616 ] }, "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": [ null, null, 15146.273 ] }, "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": [ null, null, 6093.85 ] }, "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": [ null, null, 12562.921 ] }, "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": [ null, null, 5845.991 ] }, "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": [ null, null, 9433.327 ] }, "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": [ null, null, 10553.285 ] }, "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": [ null, null, 6812.491 ] }, "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": [ null, null, 10977.778 ] }, "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": [ null, null, 17205.725 ] }, "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": [ null, null, 16738.632 ] }, "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": [ null, null, 8004.742 ] }, "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": [ null, null, 8004.945 ] }, "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": [ null, null, 16444.172 ] }, "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": [ null, null, 8014.855 ] }, "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": [ null, null, 13385.629 ] }, "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": [ null, null, 21765.329 ] }, "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": [ null, null, 20451.997 ] }, "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": [ null, null, 50788.949 ] }, "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": [ null, null, 14541.111 ] }, "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": [ null, null, 18001.85 ] }, "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": [ null, null, 35479.685 ] }, "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": [ null, null, 6598.246 ] }, "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": [ null, null, 10032.816 ] }, "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": [ null, null, 20263.371 ] }, "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": [ null, null, 15301.808 ] }, "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": [ null, null, 8330.68 ] }, "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": [ null, null, 9220.648 ] }, "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": [ null, null, 3293.295 ] }, "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": [ null, null, 4447.794 ] }, "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": [ null, null, 5217.923 ] }, "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": [ null, null, 5656.287 ] }, "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": [ null, null, 8389.883 ] }, "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": [ null, null, 11468.409 ] }, "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": [ null, null, 16989.661 ] }, "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": [ null, null, 3413.228 ] }, "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": [ null, null, 6329.45 ] }, "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": [ null, null, 10262.468 ] }, "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": [ null, null, 6713.746 ] }, "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": [ null, null, 9040.143 ] }, "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": [ null, null, 23874.716 ] }, "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": [ null, null, 12323.893 ] }, "ear_emta_sex_ind_nb__sex_f__ind_sector_petrol": { "name": "ear_emta_sex_ind_nb__sex_f__ind_sector_petrol", "label": "Average monthly earnings of employees: Female, Oil and gas production, oil refining", "unit": "inr", "group": "Sex and ind", "color": "#C9CED6", "data": [ null, null, 4678.155 ], "flags": { "U": [ "2012-01-01" ] } }, "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": [ null, null, 14569.109 ] }, "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": [ null, null, 13716.575 ] }, "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": [ null, null, 4271.901 ] }, "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": [ null, null, 12138.794 ] }, "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": [ null, null, 19742.374 ], "flags": { "U": [ "2012-01-01" ] } }, "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": [ null, null, 13785.259 ] }, "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": [ null, null, 3689.046 ] }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2989.215, 6490.983, 7922.747 ] }, "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": [ 5923.238, 10744.799, 13415.777 ] }, "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, 9804.188, 10085.335 ], "withheld": [ "2005-01-01" ], "flags": { "U": [ "2010-01-01", "2012-01-01" ] } }, "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": [ 5121.703, 9585.423, 11910.637 ] }, "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": [ 2954.711, 6400.092, 7991.516 ] }, "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": [ 5923.238, 10744.799, 13415.777 ] }, "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": [ 3216.715, 6849.442, 7586.208 ] }, "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": [ 2880.847, 7926.383, 7430.051 ] }, "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 classified (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 9804.188, 10085.335 ], "withheld": [ "2005-01-01" ], "flags": { "U": [ "2010-01-01", "2012-01-01" ] } }, "ear_emta_sex_mts_nb__sex_m__mts_aggregate_total": { "name": "ear_emta_sex_mts_nb__sex_m__mts_aggregate_total", "label": "Average monthly earnings of employees: Male, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 5436.252, 10027.429, 12562.921 ] }, "ear_emta_sex_mts_nb__sex_m__mts_aggregate_1": { "name": "ear_emta_sex_mts_nb__sex_m__mts_aggregate_1", "label": "Average monthly earnings of employees: Male, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 3038.78, 6657.92, 8034.098 ] }, "ear_emta_sex_mts_nb__sex_m__mts_aggregate_2": { "name": "ear_emta_sex_mts_nb__sex_m__mts_aggregate_2", "label": "Average monthly earnings of employees: Male, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 6217.023, 11105.024, 14006.467 ] }, "ear_emta_sex_mts_nb__sex_m__mts_aggregate_x": { "name": "ear_emta_sex_mts_nb__sex_m__mts_aggregate_x", "label": "Average monthly earnings of employees: Male, Not elsewhere classified (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 7529.18, null ], "withheld": [ "2012-01-01" ], "flags": { "U": [ "2010-01-01" ] } }, "ear_emta_sex_mts_nb__sex_m__mts_details_total": { "name": "ear_emta_sex_mts_nb__sex_m__mts_details_total", "label": "Average monthly earnings of employees: Male, Total (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 5436.252, 10027.429, 12562.921 ] }, "ear_emta_sex_mts_nb__sex_m__mts_details_sgle": { "name": "ear_emta_sex_mts_nb__sex_m__mts_details_sgle", "label": "Average monthly earnings of employees: Male, Single (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 2977.257, 6473.42, 7929.31 ] }, "ear_emta_sex_mts_nb__sex_m__mts_details_mrd": { "name": "ear_emta_sex_mts_nb__sex_m__mts_details_mrd", "label": "Average monthly earnings of employees: Male, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 6217.023, 11105.024, 14006.467 ] }, "ear_emta_sex_mts_nb__sex_m__mts_details_wid": { "name": "ear_emta_sex_mts_nb__sex_m__mts_details_wid", "label": "Average monthly earnings of employees: Male, Widowed (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 4320.408, 9166.023, 9761.387 ] }, "ear_emta_sex_mts_nb__sex_m__mts_details_sep": { "name": "ear_emta_sex_mts_nb__sex_m__mts_details_sep", "label": "Average monthly earnings of employees: Male, Divorced or legally separated (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ 3280.287, 13768.452, 10190.154 ] }, "ear_emta_sex_mts_nb__sex_m__mts_details_x": { "name": "ear_emta_sex_mts_nb__sex_m__mts_details_x", "label": "Average monthly earnings of employees: Male, Not elsewhere classified (detailed)", "unit": "inr", "group": "Sex and marital status", "color": "#C9CED6", "data": [ null, 7529.18, null ], "withheld": [ "2012-01-01" ], "flags": { "U": [ "2010-01-01" ] } }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 2856.645, 6047.257, 7649.963 ] }, "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": [ 4383.359, 8676.381, 10300.644 ] }, "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": [ 3787.866, 7604.418, 9220.648 ] }, "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": [ 2846.343, 6081.252, 8239.955 ] }, "ear_emta_sex_mts_nb__sex_f__mts_details_mrd": { "name": "ear_emta_sex_mts_nb__sex_f__mts_details_mrd", "label": "Average monthly earnings of employees: Female, Married (detailed)", "unit": "inr", "group": "Sex and marital status", "color": 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"ear_emtg_sex_age_nb__sex_t__age_aggregate_y55_64", "label": "Gini index of monthly earnings of employees: Total, 55-64 (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.462, 0.464, 0.475 ] }, "ear_emtg_sex_age_nb__sex_t__age_aggregate_yge65": { "name": "ear_emtg_sex_age_nb__sex_t__age_aggregate_yge65", "label": "Gini index of monthly earnings of employees: Total, 65+ (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.545, 0.493, 0.553 ] }, "ear_emtg_sex_age_nb__sex_m__age_ythadult_yge15": { "name": "ear_emtg_sex_age_nb__sex_m__age_ythadult_yge15", "label": "Gini index of monthly earnings of employees: Male, 15+ (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.47, 0.479, 0.473 ] }, "ear_emtg_sex_age_nb__sex_m__age_ythadult_y15_24": { "name": "ear_emtg_sex_age_nb__sex_m__age_ythadult_y15_24", "label": "Gini index of monthly earnings of employees: Male, 15-24 (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.346, 0.415, 0.368 ] }, "ear_emtg_sex_age_nb__sex_m__age_ythadult_yge25": { "name": "ear_emtg_sex_age_nb__sex_m__age_ythadult_yge25", "label": "Gini index of monthly earnings of employees: Male, 25+ (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.445, 0.462, 0.463 ] }, "ear_emtg_sex_age_nb__sex_m__age_aggregate_yge15": { "name": "ear_emtg_sex_age_nb__sex_m__age_aggregate_yge15", "label": "Gini index of monthly earnings of employees: Male, 15+ (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.47, 0.479, 0.473 ] }, "ear_emtg_sex_age_nb__sex_m__age_aggregate_y15_24": { "name": "ear_emtg_sex_age_nb__sex_m__age_aggregate_y15_24", "label": "Gini index of monthly earnings of employees: Male, 15-24 (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.346, 0.415, 0.368 ] }, 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"label": "Gini index of monthly earnings of employees: Female, 15+ (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.561, 0.557, 0.557 ] }, "ear_emtg_sex_age_nb__sex_f__age_ythadult_y15_24": { "name": "ear_emtg_sex_age_nb__sex_f__age_ythadult_y15_24", "label": "Gini index of monthly earnings of employees: Female, 15-24 (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.519, 0.485, 0.461 ] }, "ear_emtg_sex_age_nb__sex_f__age_ythadult_yge25": { "name": "ear_emtg_sex_age_nb__sex_f__age_ythadult_yge25", "label": "Gini index of monthly earnings of employees: Female, 25+ (youth and adults)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.55, 0.555, 0.559 ] }, "ear_emtg_sex_age_nb__sex_f__age_aggregate_yge15": { "name": "ear_emtg_sex_age_nb__sex_f__age_aggregate_yge15", "label": "Gini index of monthly earnings of employees: Female, 15+ (broad age bands)", "unit": "gini", "group": "Sex 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"ear_emtg_sex_age_nb__sex_f__age_aggregate_yge65": { "name": "ear_emtg_sex_age_nb__sex_f__age_aggregate_yge65", "label": "Gini index of monthly earnings of employees: Female, 65+ (broad age bands)", "unit": "gini", "group": "Sex and age", "color": "#C9CED6", "data": [ 0.465, 0.527, 0.577 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_sector_total": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_sector_total", "label": "Gini index of monthly earnings of employees: Total, Total (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#2E4BD8", "data": [ 0.49, 0.495, 0.491 ] }, "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": [ 0.401, 0.429, 0.452 ] }, "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": [ 0.484, 0.49, 0.489 ] }, "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": [ 0.479, 0.493, 0.473 ] }, "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": [ 0.476, 0.483, 0.489 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_sector_x": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_sector_x", "label": "Gini index of monthly earnings of employees: Total, X - Not elsewhere classified (broad 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"color": "#C9CED6", "data": [ 0.465, 0.492, 0.455 ] }, "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": [ 0.437, 0.451, 0.415 ] }, "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": [ 0.356, 0.41, 0.462 ] }, "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": [ 0.502, 0.495, 0.496 ] }, "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": [ 0.444, 0.462, 0.475 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_x": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_aggregate_x", "label": "Gini index of monthly earnings of employees: Total, X - Not elsewhere classified (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.485, null, null ] }, "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 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Agriculture; forestry and fishing (ISIC Rev.4)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ null, null, 0.452 ] }, "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": [ null, null, 0.439 ] }, "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": [ null, null, 0.455 ] }, "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": [ null, null, 0.377 ] }, "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": [ null, null, 0.458 ] }, "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": [ null, null, 0.415 ] }, "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": [ null, null, 0.4 ] }, "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": [ null, null, 0.449 ] }, "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": [ null, null, 0.371 ] }, "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": [ null, null, 0.434 ] }, "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": [ null, null, 0.414 ] }, "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": [ null, null, 0.399 ] }, "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": [ null, null, 0.479 ] }, "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": [ null, null, 0.432 ] }, "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": [ null, null, 0.367 ] }, "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": [ null, null, 0.448 ] }, "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": [ null, null, 0.501 ] }, "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": [ null, null, 0.34 ] }, "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": [ null, null, 0.459 ] }, "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": [ null, null, 0.391 ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_total": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_total", "label": "Gini index of monthly earnings of employees: Total, Total (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.49, 0.495, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_a": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_a", "label": "Gini index of monthly earnings of employees: Total, A. Agriculture, hunting and forestry (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.402, 0.436, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_b": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_b", "label": "Gini index of monthly earnings of employees: Total, B. Fishing (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.316, 0.213, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_c": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_c", "label": "Gini index of monthly earnings of employees: Total, C. Mining and quarrying (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.373, 0.442, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_d": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_d", "label": "Gini index of monthly earnings of employees: Total, D. Manufacturing (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.465, 0.492, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_e": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_e", "label": "Gini index of monthly earnings of employees: Total, E. Electricity, gas and water supply (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.339, 0.368, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_f": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_f", "label": "Gini index of monthly earnings of employees: Total, F. Construction (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.437, 0.451, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_g": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_g", "label": "Gini index of monthly earnings of employees: Total, G. Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.394, 0.389, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_h": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_h", "label": "Gini index of monthly earnings of employees: Total, H. Hotels and restaurants (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.404, 0.376, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_i": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_i", "label": "Gini index of monthly earnings of employees: Total, I. Transport, storage and communications (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.424, 0.465, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_j": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_j", "label": "Gini index of monthly earnings of employees: Total, J. Financial intermediation (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.441, 0.378, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_k": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_k", "label": "Gini index of monthly earnings of employees: Total, K. Real estate, renting and business activities (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.532, 0.464, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_l": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_l", "label": "Gini index of monthly earnings of employees: Total, L. Public administration and defence; compulsory social security (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.334, 0.359, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_m": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_m", "label": "Gini index of monthly earnings of employees: Total, M. Education (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.422, 0.45, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_n": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_n", "label": "Gini index of monthly earnings of employees: Total, N. Health and social work (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.474, 0.475, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_o": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_o", "label": "Gini index of monthly earnings of employees: Total, O. Other community, social and personal service activities (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.443, 0.602, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_p": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_p", "label": "Gini index of monthly earnings of employees: Total, P. Activities of private households as employers and undifferentiated production activities of private households (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.392, 0.408, null ] }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_q": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_q", "label": "Gini index of monthly earnings of employees: Total, Q. Extraterritorial organizations and bodies (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.294, null, null ], "withheld": [ "2010-01-01" ], "flags": { "U": [ "2005-01-01" ] } }, "ear_emtg_sex_eco_nb__sex_t__eco_isic3_x": { "name": "ear_emtg_sex_eco_nb__sex_t__eco_isic3_x", "label": "Gini index of monthly earnings of employees: Total, X - Not elsewhere classified (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.485, null, null ] }, "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": [ 0.47, 0.479, 0.473 ] }, "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": [ 0.414, 0.423, 0.472 ] }, "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": [ 0.463, 0.475, 0.471 ] }, "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": [ 0.463, 0.485, 0.466 ] }, "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": [ 0.454, 0.463, 0.466 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_sector_x": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_sector_x", "label": "Gini index of monthly earnings of employees: Male, X - Not elsewhere classified (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.444, null, null ] }, "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": [ 0.47, 0.479, 0.473 ] }, "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": [ 0.414, 0.423, 0.472 ] }, "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": [ 0.448, 0.485, 0.449 ] }, "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": [ 0.437, 0.443, 0.406 ] }, "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": [ 0.352, 0.41, 0.454 ] }, "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": [ 0.498, 0.491, 0.491 ] }, "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": [ 0.381, 0.404, 0.409 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_x": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_aggregate_x", "label": "Gini index of monthly earnings of employees: Male, X - Not elsewhere classified (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.444, null, null ] }, "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": [ null, null, 0.473 ] }, "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": [ null, null, 0.472 ] }, "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": [ null, null, 0.427 ] }, "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": [ null, null, 0.449 ] }, "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": [ null, null, 0.377 ] }, "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": [ null, null, 0.442 ] }, "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": [ null, null, 0.406 ] }, "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": [ null, null, 0.393 ] }, "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": [ null, null, 0.45 ] }, "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": [ null, null, 0.351 ] }, "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": [ null, null, 0.436 ] }, "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": [ null, null, 0.417 ] }, "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": [ null, null, 0.422 ] }, "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": [ null, null, 0.474 ] }, "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": [ null, null, 0.418 ] }, "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": [ null, null, 0.352 ] }, "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": [ null, null, 0.387 ] }, "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": [ null, null, 0.46 ] }, "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": [ null, null, 0.332 ] }, "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": [ null, null, 0.386 ] }, "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": [ null, null, 0.31 ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_total": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_total", "label": "Gini index of monthly earnings of employees: Male, Total (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.47, 0.479, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_a": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_a", "label": "Gini index of monthly earnings of employees: Male, A. Agriculture, hunting and forestry (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.415, 0.431, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_b": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_b", "label": "Gini index of monthly earnings of employees: Male, B. Fishing (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.316, 0.216, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_c": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_c", "label": "Gini index of monthly earnings of employees: Male, C. Mining and quarrying (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.367, 0.437, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_d": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_d", "label": "Gini index of monthly earnings of employees: Male, D. Manufacturing (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.448, 0.485, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_e": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_e", "label": "Gini index of monthly earnings of employees: Male, E. Electricity, gas and water supply (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.337, 0.373, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_f": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_f", "label": "Gini index of monthly earnings of employees: Male, F. Construction (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.437, 0.443, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_g": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_g", "label": "Gini index of monthly earnings of employees: Male, G. Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.391, 0.386, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_h": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_h", "label": "Gini index of monthly earnings of employees: Male, H. Hotels and restaurants (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.383, 0.357, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_i": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_i", "label": "Gini index of monthly earnings of employees: Male, I. Transport, storage and communications (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.419, 0.463, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_j": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_j", "label": "Gini index of monthly earnings of employees: Male, J. Financial intermediation (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.45, 0.372, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_k": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_k", "label": "Gini index of monthly earnings of employees: Male, K. Real estate, renting and business activities (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.539, 0.464, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_l": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_l", "label": "Gini index of monthly earnings of employees: Male, L. Public administration and defence; compulsory social security (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.323, 0.346, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_m": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_m", "label": "Gini index of monthly earnings of employees: Male, M. Education (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.365, 0.403, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_n": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_n", "label": "Gini index of monthly earnings of employees: Male, N. Health and social work (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.449, 0.434, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_o": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_o", "label": "Gini index of monthly earnings of employees: Male, O. Other community, social and personal service activities (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.43, 0.513, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_p": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_p", "label": "Gini index of monthly earnings of employees: Male, P. Activities of private households as employers and undifferentiated production activities of private households (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.285, 0.32, null ] }, "ear_emtg_sex_eco_nb__sex_m__eco_isic3_x": { "name": "ear_emtg_sex_eco_nb__sex_m__eco_isic3_x", "label": "Gini index of monthly earnings of employees: Male, X - Not elsewhere classified (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.444, null, null ] }, "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": [ 0.561, 0.557, 0.557 ] }, "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": [ 0.314, 0.366, 0.249 ] }, "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": [ 0.56, 0.553, 0.556 ] }, "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": [ 0.516, 0.544, 0.461 ] }, "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": [ 0.544, 0.548, 0.558 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_sector_x": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_sector_x", "label": "Gini index of monthly earnings of employees: Female, X - Not elsewhere classified (broad sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.48, null, null ] }, "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": [ 0.561, 0.557, 0.557 ] }, "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": [ 0.314, 0.366, 0.249 ] }, "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": [ 0.492, 0.499, 0.385 ] }, "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": [ 0.424, 0.519, 0.516 ] }, "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": [ 0.392, 0.398, 0.518 ] }, "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": [ 0.522, 0.523, 0.522 ] }, "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": [ 0.54, 0.549, 0.559 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_x": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_aggregate_x", "label": "Gini index of monthly earnings of employees: Female, X - Not elsewhere classified (aggregate sectors)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.48, null, null ] }, "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": [ null, null, 0.557 ] }, "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": [ null, null, 0.249 ] }, "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": [ null, null, 0.444 ] }, "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": [ null, null, 0.385 ] }, "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": [ null, null, 0.36 ] }, "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": [ null, null, 0.399 ] }, "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": [ null, null, 0.516 ] }, "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": [ null, null, 0.464 ] }, "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": [ null, null, 0.369 ] }, "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": [ null, null, 0.528 ] }, "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": [ null, null, 0.42 ] }, "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": [ null, null, 0.395 ] }, "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": [ null, null, 0.494 ] }, "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": [ null, null, 0.506 ] }, "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": [ null, null, 0.461 ] }, "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": [ null, null, 0.515 ] }, "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": [ null, null, 0.534 ] }, "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": [ null, null, 0.274 ], "flags": { "U": [ "2012-01-01" ] } }, "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": [ null, null, 0.463 ] }, "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": [ null, null, 0.358 ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_total": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_total", "label": "Gini index of monthly earnings of employees: Female, Total (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.561, 0.557, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_a": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_a", "label": "Gini index of monthly earnings of employees: Female, A. Agriculture, hunting and forestry (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.314, 0.37, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_c": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_c", "label": "Gini index of monthly earnings of employees: Female, C. Mining and quarrying (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.358, 0.535, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_d": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_d", "label": "Gini index of monthly earnings of employees: Female, D. Manufacturing (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.492, 0.499, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_e": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_e", "label": "Gini index of monthly earnings of employees: Female, E. Electricity, gas and water supply (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.382, 0.315, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_f": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_f", "label": "Gini index of monthly earnings of employees: Female, F. Construction (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.424, 0.519, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_g": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_g", "label": "Gini index of monthly earnings of employees: Female, G. Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.445, 0.424, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_h": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_h", "label": "Gini index of monthly earnings of employees: Female, H. Hotels and restaurants (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.57, 0.595, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_i": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_i", "label": "Gini index of monthly earnings of employees: Female, I. Transport, storage and communications (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.5, 0.474, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_j": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_j", "label": "Gini index of monthly earnings of employees: Female, J. Financial intermediation (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.372, 0.415, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_k": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_k", "label": "Gini index of monthly earnings of employees: Female, K. Real estate, renting and business activities (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.482, 0.458, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_l": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_l", "label": "Gini index of monthly earnings of employees: Female, L. Public administration and defence; compulsory social security (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.405, 0.427, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_m": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_m", "label": "Gini index of monthly earnings of employees: Female, M. Education (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.49, 0.507, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_n": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_n", "label": "Gini index of monthly earnings of employees: Female, N. Health and social work (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.5, 0.469, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_o": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_o", "label": "Gini index of monthly earnings of employees: Female, O. Other community, social and personal service activities (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.516, 0.701, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_p": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_p", "label": "Gini index of monthly earnings of employees: Female, P. Activities of private households as employers and undifferentiated production activities of private households (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.372, 0.379, null ] }, "ear_emtg_sex_eco_nb__sex_f__eco_isic3_x": { "name": "ear_emtg_sex_eco_nb__sex_f__eco_isic3_x", "label": "Gini index of monthly earnings of employees: Female, X - Not elsewhere classified (ISIC Rev.3)", "unit": "gini", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 0.48, null, null ] }, "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": [ 0.49, 0.495, 0.491 ] }, "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": [ 0.412, 0.404, 0.382 ] }, "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": [ 0.42, 0.42, 0.402 ] }, "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": [ 0.408, 0.423, 0.408 ] }, "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": [ 0.4, 0.412, 0.419 ] }, "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": [ 0.432, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 0.49, 0.495, 0.491 ] }, "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": [ 0.425, 0.407, 0.391 ] }, "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": [ 0.376, 0.389, 0.362 ] }, "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": [ 0.389, 0.393, 0.376 ] }, "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": [ 0.42, 0.416, 0.401 ] }, "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": [ 0.416, 0.424, 0.416 ] }, "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": [ 0.376, 0.403, 0.376 ] }, "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": [ 0.391, 0.403, 0.418 ] }, "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": [ 0.403, 0.411, 0.404 ] }, "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": [ 0.432, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 0.47, 0.479, 0.473 ] }, "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": [ 0.376, 0.361, 0.34 ] }, "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": [ 0.402, 0.404, 0.384 ] }, "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": [ 0.398, 0.413, 0.395 ] }, "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": [ 0.391, 0.404, 0.406 ] }, "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": [ 0.42, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 0.47, 0.479, 0.473 ] }, "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": [ 0.385, 0.349, 0.342 ] }, "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": [ 0.356, 0.374, 0.337 ] }, "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": [ 0.37, 0.375, 0.355 ] }, "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": [ 0.403, 0.401, 0.386 ] }, "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": [ 0.398, 0.409, 0.399 ] }, "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": [ 0.376, 0.401, 0.368 ] }, "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": [ 0.379, 0.396, 0.407 ] }, "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": [ 0.396, 0.399, 0.385 ] }, "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": [ 0.42, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 0.561, 0.557, 0.557 ] }, "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": [ 0.401, 0.441, 0.411 ] }, "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": [ 0.502, 0.481, 0.438 ] }, "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": [ 0.452, 0.464, 0.469 ] }, "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": [ 0.42, 0.43, 0.452 ] }, "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": [ 0.561, 0.557, 0.557 ] }, "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. No schooling (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.411, 0.451, 0.414 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_0": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_0", "label": "Gini index of monthly earnings of employees: Female, 0. Pre-primary education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.354, 0.392, 0.396 ] }, "ear_emtg_sex_edu_nb__sex_f__edu_isced97_1": { "name": "ear_emtg_sex_edu_nb__sex_f__edu_isced97_1", "label": "Gini index of monthly earnings of employees: Female, 1. Primary education or first stage of basic education (ISCED-97)", "unit": "gini", "group": "Sex and education", "color": "#C9CED6", "data": [ 0.449, 0.423, 0.356 ] }, "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": [ 0.51, 0.486, 0.453 ] }, "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": [ 0.499, 0.491, 0.492 ] }, "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": [ 0.373, 0.392, 0.404 ] }, "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": [ 0.426, 0.42, 0.447 ] }, "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": [ 0.398, 0.432, 0.443 ] }, "ear_emtg_sex_geo_nb__sex_t__geo_cov_nat": { "name": "ear_emtg_sex_geo_nb__sex_t__geo_cov_nat", "label": "Gini index of monthly earnings of employees: Total, National", "unit": "gini", "group": "Sex and rural or urban", "color": "#2E4BD8", "data": [ 0.49, 0.495, 0.491 ] }, "ear_emtg_sex_geo_nb__sex_t__geo_cov_rur": { "name": "ear_emtg_sex_geo_nb__sex_t__geo_cov_rur", "label": "Gini index of monthly earnings of employees: Total, Rural", "unit": "gini", "group": "Sex and rural or urban", "color": "#C47A16", "data": [ 0.487, 0.48, 0.469 ] }, "ear_emtg_sex_geo_nb__sex_t__geo_cov_urb": { "name": "ear_emtg_sex_geo_nb__sex_t__geo_cov_urb", "label": "Gini index of monthly earnings of employees: Total, Urban", "unit": "gini", "group": "Sex and rural or urban", "color": "#5F6675", "data": [ 0.479, 0.486, 0.488 ] }, "ear_emtg_sex_geo_nb__sex_m__geo_cov_nat": { "name": "ear_emtg_sex_geo_nb__sex_m__geo_cov_nat", "label": "Gini index of monthly earnings of employees: Male, National", "unit": "gini", "group": "Sex and rural or urban", "color": "#878D99", "data": [ 0.47, 0.479, 0.473 ] }, "ear_emtg_sex_geo_nb__sex_m__geo_cov_rur": { "name": "ear_emtg_sex_geo_nb__sex_m__geo_cov_rur", "label": "Gini index of monthly earnings of employees: Male, Rural", "unit": "gini", "group": "Sex and rural or urban", "color": "#A3A9B4", "data": [ 0.464, 0.459, 0.446 ] }, "ear_emtg_sex_geo_nb__sex_m__geo_cov_urb": { "name": "ear_emtg_sex_geo_nb__sex_m__geo_cov_urb", "label": "Gini index of monthly earnings of employees: Male, Urban", "unit": "gini", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 0.462, 0.475, 0.473 ] }, "ear_emtg_sex_geo_nb__sex_f__geo_cov_nat": { "name": "ear_emtg_sex_geo_nb__sex_f__geo_cov_nat", "label": "Gini index of monthly earnings of employees: Female, National", "unit": "gini", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 0.561, 0.557, 0.557 ] }, "ear_emtg_sex_geo_nb__sex_f__geo_cov_rur": { "name": "ear_emtg_sex_geo_nb__sex_f__geo_cov_rur", "label": "Gini index of monthly earnings of employees: Female, Rural", "unit": "gini", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 0.547, 0.538, 0.528 ] }, "ear_emtg_sex_geo_nb__sex_f__geo_cov_urb": { "name": "ear_emtg_sex_geo_nb__sex_f__geo_cov_urb", "label": "Gini index of monthly earnings of employees: Female, Urban", "unit": "gini", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 0.543, 0.534, 0.544 ] }, "ear_emtg_sex_mts_nb__sex_t__mts_aggregate_total": { "name": "ear_emtg_sex_mts_nb__sex_t__mts_aggregate_total", "label": "Gini index of monthly earnings of employees: Total, Total (aggregate)", "unit": "gini", "group": "Sex and marital status", "color": "#2E4BD8", "data": [ 0.49, 0.495, 0.491 ] }, 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Not elsewhere classified (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.527, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_total": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_total", "label": "Gini index of monthly earnings of employees: Female, Total (skill level)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.557, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_l3_4": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_l3_4", "label": "Gini index of monthly earnings of employees: Female, Skill levels 3 and 4 ~ high (skill level)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.474, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_l2": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_l2", "label": "Gini index of monthly earnings of employees: Female, Skill level 2 ~ medium (skill level)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.555, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_l1": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_l1", "label": "Gini index of monthly earnings of employees: Female, Skill level 1 ~ low (skill level)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.443, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_x": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_skill_x", "label": "Gini index of monthly earnings of employees: Female, X - Not elsewhere classified (skill level)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.573, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_total": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_total", "label": "Gini index of monthly earnings of employees: Female, Total (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.557, 0.557 ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_1": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_1", "label": "Gini index of monthly earnings of employees: Female, 1. Legislators, senior officials and managers (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.377, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_2": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_2", "label": "Gini index of monthly earnings of employees: Female, 2. Professionals (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.422, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_3": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_3", "label": "Gini index of monthly earnings of employees: Female, 3. Technicians and associate professionals (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.474, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_4": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_4", "label": "Gini index of monthly earnings of employees: Female, 4. Clerks (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.412, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_5": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_5", "label": "Gini index of monthly earnings of employees: Female, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.602, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_6": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_6", "label": "Gini index of monthly earnings of employees: Female, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.267, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_7": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_7", "label": "Gini index of monthly earnings of employees: Female, 7. Craft and related trades workers (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.429, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_8": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_8", "label": "Gini index of monthly earnings of employees: Female, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.552, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_9": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_9", "label": "Gini index of monthly earnings of employees: Female, 9. Elementary occupations (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.443, null ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_0": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_0", "label": "Gini index of monthly earnings of employees: Female, 0. Armed forces (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, 0.557 ] }, "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_x": { "name": "ear_emtg_sex_ocu_nb__sex_f__ocu_isco88_x", "label": "Gini index of monthly earnings of employees: Female, X. Not elsewhere classified (ISCO-88)", "unit": "gini", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 0.573, null ] }, "ear_emtm_sex_age_nb__sex_t__age_ythadult_yge15": { "name": "ear_emtm_sex_age_nb__sex_t__age_ythadult_yge15", "label": "Median monthly earnings of employees: Total, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#2E4BD8", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_age_nb__sex_t__age_ythadult_y15_24": { "name": "ear_emtm_sex_age_nb__sex_t__age_ythadult_y15_24", "label": "Median monthly earnings of employees: Total, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C47A16", "data": [ 1733.333, 3250, 4550 ] }, "ear_emtm_sex_age_nb__sex_t__age_ythadult_yge25": { "name": "ear_emtm_sex_age_nb__sex_t__age_ythadult_yge25", "label": "Median monthly earnings of employees: Total, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#5F6675", "data": [ 3949.617, 6500, 8086 ] }, "ear_emtm_sex_age_nb__sex_t__age_aggregate_yge15": { "name": "ear_emtm_sex_age_nb__sex_t__age_aggregate_yge15", "label": "Median monthly earnings of employees: Total, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#878D99", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_age_nb__sex_t__age_aggregate_y15_24": { "name": "ear_emtm_sex_age_nb__sex_t__age_aggregate_y15_24", "label": "Median monthly earnings of employees: Total, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#A3A9B4", "data": [ 1733.333, 3250, 4550 ] }, "ear_emtm_sex_age_nb__sex_t__age_aggregate_y25_54": { "name": "ear_emtm_sex_age_nb__sex_t__age_aggregate_y25_54", "label": "Median monthly earnings of employees: Total, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3900, 6500, 7843.334 ] }, "ear_emtm_sex_age_nb__sex_t__age_aggregate_y55_64": { "name": "ear_emtm_sex_age_nb__sex_t__age_aggregate_y55_64", "label": "Median monthly earnings of employees: Total, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6066.667, 10833.333, 13000 ] }, "ear_emtm_sex_age_nb__sex_t__age_aggregate_yge65": { "name": "ear_emtm_sex_age_nb__sex_t__age_aggregate_yge65", "label": "Median monthly earnings of employees: Total, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1457.364, 3033.333, 3250 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_yge15": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_yge15", "label": "Median monthly earnings of employees: Total, 15+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y15_24": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y15_24", "label": "Median monthly earnings of employees: Total, 15-24 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1733.333, 3250, 4550 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y25_34": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y25_34", "label": "Median monthly earnings of employees: Total, 25-34 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3033.333, 5330, 6500 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y35_44": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y35_44", "label": "Median monthly earnings of employees: Total, 35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 4333.334, 6500, 8233.333 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y45_54": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y45_54", "label": "Median monthly earnings of employees: Total, 45-54 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6500, 10400, 12133.333 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y55_64": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_y55_64", "label": "Median monthly earnings of employees: Total, 55-64 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6066.667, 10833.333, 13000 ] }, "ear_emtm_sex_age_nb__sex_t__age_10yrbands_yge65": { "name": "ear_emtm_sex_age_nb__sex_t__age_10yrbands_yge65", "label": "Median monthly earnings of employees: Total, 65+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1457.364, 3033.333, 3250 ] }, "ear_emtm_sex_age_nb__sex_m__age_ythadult_yge15": { "name": "ear_emtm_sex_age_nb__sex_m__age_ythadult_yge15", "label": "Median monthly earnings of employees: Male, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3250, 6066.667, 7583.334 ] }, "ear_emtm_sex_age_nb__sex_m__age_ythadult_y15_24": { "name": "ear_emtm_sex_age_nb__sex_m__age_ythadult_y15_24", "label": "Median monthly earnings of employees: Male, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1820, 3315, 4731.941 ] }, "ear_emtm_sex_age_nb__sex_m__age_ythadult_yge25": { "name": "ear_emtm_sex_age_nb__sex_m__age_ythadult_yge25", "label": "Median monthly earnings of employees: Male, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 4333.334, 7150, 8666.667 ] }, "ear_emtm_sex_age_nb__sex_m__age_aggregate_yge15": { "name": "ear_emtm_sex_age_nb__sex_m__age_aggregate_yge15", "label": "Median monthly earnings of employees: Male, 15+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3250, 6066.667, 7583.334 ] }, "ear_emtm_sex_age_nb__sex_m__age_aggregate_y15_24": { "name": "ear_emtm_sex_age_nb__sex_m__age_aggregate_y15_24", "label": "Median monthly earnings of employees: Male, 15-24 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1820, 3315, 4731.941 ] }, "ear_emtm_sex_age_nb__sex_m__age_aggregate_y25_54": { "name": "ear_emtm_sex_age_nb__sex_m__age_aggregate_y25_54", "label": "Median monthly earnings of employees: Male, 25-54 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 4333.334, 6933.334, 8666.667 ] }, "ear_emtm_sex_age_nb__sex_m__age_aggregate_y55_64": { "name": "ear_emtm_sex_age_nb__sex_m__age_aggregate_y55_64", "label": "Median monthly earnings of employees: Male, 55-64 (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6933.334, 12133.333, 15166.667 ] }, "ear_emtm_sex_age_nb__sex_m__age_aggregate_yge65": { "name": "ear_emtm_sex_age_nb__sex_m__age_aggregate_yge65", "label": "Median monthly earnings of employees: Male, 65+ (broad age bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1733.333, 3033.333, 3900 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_yge15": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_yge15", "label": "Median monthly earnings of employees: Male, 15+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3250, 6066.667, 7583.334 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y15_24": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y15_24", "label": "Median monthly earnings of employees: Male, 15-24 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1820, 3315, 4731.941 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y25_34": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y25_34", "label": "Median monthly earnings of employees: Male, 25-34 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 3033.333, 5416.667, 6630 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y35_44": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y35_44", "label": "Median monthly earnings of employees: Male, 35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 4658.334, 7583.334, 9100 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y45_54": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y45_54", "label": "Median monthly earnings of employees: Male, 45-54 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 7067.667, 10877.29, 13000 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y55_64": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_y55_64", "label": "Median monthly earnings of employees: Male, 55-64 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 6933.334, 12133.333, 15166.667 ] }, "ear_emtm_sex_age_nb__sex_m__age_10yrbands_yge65": { "name": "ear_emtm_sex_age_nb__sex_m__age_10yrbands_yge65", "label": "Median monthly earnings of employees: Male, 65+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1733.333, 3033.333, 3900 ] }, "ear_emtm_sex_age_nb__sex_f__age_ythadult_yge15": { "name": "ear_emtm_sex_age_nb__sex_f__age_ythadult_yge15", "label": "Median monthly earnings of employees: Female, 15+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1733.333, 3540.333, 4333.334 ] }, "ear_emtm_sex_age_nb__sex_f__age_ythadult_y15_24": { "name": "ear_emtm_sex_age_nb__sex_f__age_ythadult_y15_24", "label": "Median monthly earnings of employees: Female, 15-24 (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1213.333, 3033.333, 3536.841 ] }, "ear_emtm_sex_age_nb__sex_f__age_ythadult_yge25": { "name": "ear_emtm_sex_age_nb__sex_f__age_ythadult_yge25", "label": "Median monthly earnings of employees: Female, 25+ (youth and adults)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1950, 4043, 4550 ] }, "ear_emtm_sex_age_nb__sex_f__age_aggregate_yge15": { "name": "ear_emtm_sex_age_nb__sex_f__age_aggregate_yge15", "label": "Median monthly earnings of employees: Female, 15+ (broad age 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"label": "Median monthly earnings of employees: Female, 25-34 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1950, 4333.334, 4723.881 ] }, "ear_emtm_sex_age_nb__sex_f__age_10yrbands_y35_44": { "name": "ear_emtm_sex_age_nb__sex_f__age_10yrbands_y35_44", "label": "Median monthly earnings of employees: Female, 35-44 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1971.667, 3466.667, 4333.334 ] }, "ear_emtm_sex_age_nb__sex_f__age_10yrbands_y45_54": { "name": "ear_emtm_sex_age_nb__sex_f__age_10yrbands_y45_54", "label": "Median monthly earnings of employees: Female, 45-54 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 2426.667, 4333.334, 5416.667 ] }, "ear_emtm_sex_age_nb__sex_f__age_10yrbands_y55_64": { "name": "ear_emtm_sex_age_nb__sex_f__age_10yrbands_y55_64", "label": "Median monthly earnings of employees: Female, 55-64 (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 1308.735, 3033.333, 3466.667 ] }, "ear_emtm_sex_age_nb__sex_f__age_10yrbands_yge65": { "name": "ear_emtm_sex_age_nb__sex_f__age_10yrbands_yge65", "label": "Median monthly earnings of employees: Female, 65+ (10-year bands)", "unit": "inr", "group": "Sex and age", "color": "#C9CED6", "data": [ 650, 1349.169, 1733.333 ] }, "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": [ 3033.333, 5646.175, 6933.334 ] }, "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": "inr", "group": "Sex and economic activity", "color": "#C47A16", "data": [ 1430, 2721.847, 3453.563 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_sector_nag": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_sector_nag", "label": "Median monthly earnings of employees: Total, Non-agriculture (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#5F6675", "data": [ 3250, 6066.667, 7076.334 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_sector_ind": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_sector_ind", "label": "Median monthly earnings of employees: Total, Industry (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#878D99", "data": [ 2829.667, 4792.667, 6240 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_sector_ser": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_sector_ser", "label": "Median monthly earnings of employees: Total, Services (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#A3A9B4", "data": [ 3726.667, 6500, 7800 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_sector_x": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_sector_x", "label": "Median monthly earnings of employees: Total, X - Not elsewhere classified (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1005.887, null, null ] }, "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": [ 3033.333, 5646.175, 6933.334 ] }, "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": [ 1430, 2721.847, 3453.563 ] }, "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": [ 2600, 4333.334, 6066.667 ] }, "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": [ 2827.923, 6066.667, 7583.334 ] }, "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": [ 7826, 10833.333, 14157 ] }, "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": [ 3033.333, 5416.667, 6803.334 ] }, "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": [ 5200, 8666.667, 9208.333 ] }, "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_x": { "name": "ear_emtm_sex_eco_nb__sex_t__eco_aggregate_x", "label": "Median monthly earnings of employees: Total, X - Not elsewhere classified (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1005.887, null, null ] }, "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": [ null, null, 6933.334 ] }, "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": [ null, null, 3453.563 ] }, "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": [ null, null, 20871.214 ] }, "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": [ null, null, 6066.667 ] }, "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": [ null, null, 16176.333 ] }, "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": [ null, null, 5144.432 ] }, "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": [ null, null, 7583.334 ] }, "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": [ null, null, 4875 ] }, "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": [ null, null, 6500 ] }, "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": [ null, null, 6066.667 ] }, "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": [ null, null, 19500 ] }, "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": [ null, null, 17333.334 ] }, "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": [ null, null, 8187.638 ] }, "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": [ null, null, 10833.333 ] }, "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": [ null, null, 6661.898 ] }, "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": [ null, null, 16033.333 ] }, "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": [ null, null, 12133.333 ] }, "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": [ null, null, 8666.667 ] }, "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": [ null, null, 6500 ] }, "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": [ null, null, 3261.714 ] }, "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": [ null, null, 3033.333 ] }, "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": [ 3250, 6066.667, 7583.334 ] }, "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": [ 1473.333, 3033.333, 3791.667 ] }, "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": [ 3466.667, 6500, 7670 ] }, "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": [ 3033.333, 5200, 6500 ] }, "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": [ 4333.334, 7427.323, 8666.667 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_sector_x": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_sector_x", "label": "Median monthly earnings of employees: Male, X - Not elsewhere classified (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1516.667, null, null ] }, "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": [ 3250, 6066.667, 7583.334 ] }, "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": [ 1473.333, 3033.333, 3791.667 ] }, "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": [ 2816.667, 4550, 6066.667 ] }, "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": [ 2767.784, 6066.667, 7583.334 ] }, "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": [ 8016.667, 10833.333, 15000.279 ] }, "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": [ 3033.333, 5416.667, 6573.667 ] }, "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": [ 6469.667, 11050, 13650 ] }, "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_x": { "name": "ear_emtm_sex_eco_nb__sex_m__eco_aggregate_x", "label": "Median monthly earnings of employees: Male, X - Not elsewhere classified (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 1516.667, null, null ] }, "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": [ null, null, 7583.334 ] }, "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": [ null, null, 3791.667 ] }, "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": [ null, null, 22307.21 ] }, "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": [ null, null, 6066.667 ] }, "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": [ null, null, 16145.326 ] }, "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": [ null, null, 5192.325 ] }, "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": [ null, null, 7583.334 ] }, "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": [ null, null, 5057 ] }, "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": [ null, null, 6500 ] }, "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": [ null, null, 6283.334 ] }, "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": [ null, null, 18837.621 ] }, "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": [ null, null, 17333.334 ] }, "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": [ null, null, 8151.912 ] }, "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": [ null, null, 10833.333 ] }, "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": [ null, null, 6956.606 ] }, "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": [ null, null, 16258.667 ] }, "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": [ null, null, 15166.667 ] }, "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": [ null, null, 12566.667 ] }, "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": [ null, null, 6500 ] }, "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": [ null, null, 4659.675 ] }, "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": [ null, null, 5416.667 ] }, "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": [ 1733.333, 3540.333, 4333.334 ] }, "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": [ 1421.333, 1820, 3033.333 ] }, "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": [ 1733.333, 3900, 4362.008 ] }, "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": [ 1300, 3033.333, 3780.676 ] }, "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": [ 2166.667, 4333.334, 4875 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_sector_x": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_sector_x", "label": "Median monthly earnings of employees: Female, X - Not elsewhere classified (broad sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 758.333, null, null ] }, "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": [ 1733.333, 3540.333, 4333.334 ] }, "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": [ 1421.333, 1820, 3033.333 ] }, "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": [ 1213.333, 3033.333, 3656.149 ] }, "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": [ 3523.906, 4202.916, 3033.333 ] }, "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": [ 5330.121, 13000, 9749.408 ] }, "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": [ 3353.424, 5661.973, 8666.667 ] }, "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": [ 1950, 3791.667, 4333.334 ] }, "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_x": { "name": "ear_emtm_sex_eco_nb__sex_f__eco_aggregate_x", "label": "Median monthly earnings of employees: Female, X - Not elsewhere classified (aggregate sectors)", "unit": "inr", "group": "Sex and economic activity", "color": "#C9CED6", "data": [ 758.333, null, null ] }, "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": [ null, null, 4333.334 ] }, "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": [ null, null, 3033.333 ] }, "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": [ null, null, 8457.635 ] }, "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": [ null, null, 3656.149 ] }, "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": [ null, null, 16202.671 ] }, "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": [ null, null, 2764.897 ] }, "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": [ null, null, 3033.333 ] }, "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": [ null, null, 3250 ] }, "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": [ null, null, 10980.441 ] }, "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": [ null, null, 3033.333 ] }, "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": [ null, null, 22484.042 ] }, "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": [ null, null, 15166.667 ] }, "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": [ null, null, 10833.333 ] }, "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": [ null, null, 5416.667 ] }, "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": [ null, null, 10833.333 ] }, "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": [ null, null, 6500 ] }, "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": [ null, null, 5830.585 ] }, "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": [ null, null, 12184.084 ], "flags": { "U": [ "2012-01-01" ] } }, "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": [ null, null, 1876.483 ] }, "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": [ null, null, 2166.667 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_total": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_total", "label": "Median monthly earnings of employees: Total, Total (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#2E4BD8", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_ltb": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_ltb", "label": "Median monthly earnings of employees: Total, Less than basic (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C47A16", "data": [ 1733.333, 3033.333, 4333.334 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_bas": { "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": [ 2600, 4333.334, 5416.667 ] }, "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": [ 5200, 7583.334, 8666.667 ] }, "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": [ 8233.333, 13866.667, 17333.334 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_x": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_aggregate_x", "label": "Median monthly earnings of employees: Total, Level not stated (aggregate levels)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 2166.13, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_total": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_total", "label": "Median monthly earnings of employees: Total, Total (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_edu_nb__sex_t__edu_isced97_x": { "name": "ear_emtm_sex_edu_nb__sex_t__edu_isced97_x", "label": "Median monthly earnings of employees: Total, X. No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 1611.174, 3033.333, 3791.667 ] }, "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": [ 1950, 3250, 4550 ] }, "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": [ 2123.333, 3250, 4333.334 ] }, "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. 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First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 7583.334, 13000, 15166.667 ] }, "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. 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No schooling (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 2023.667, 3250, 4550 ] }, "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": [ 2166.667, 3683.333, 5016.559 ] }, "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": [ 2166.667, 3466.667, 4983.334 ] }, "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": [ 3033.333, 4766.667, 6066.667 ] }, "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": [ 4550, 7076.334, 8357.409 ] }, "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": [ 6873.555, 10833.333, 13000 ] }, "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": [ 8016.667, 13000, 16444.991 ] }, "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": [ 10833.333, 18200, 22243 ] }, "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": [ 4956.891, null, null ], "withheld": [ "2010-01-01", "2012-01-01" ] }, "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": [ 1733.333, 3540.333, 4333.334 ] }, "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": [ 1040, 1755, 2526.333 ] }, "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": [ 1300, 2236.433, 3033.333 ] }, "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": [ 4342.234, 5194.327, 6222.922 ] }, "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": [ 6500, 10833.333, 13000 ] }, "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": [ 1733.333, 3540.333, 4333.334 ] }, "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. 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Lower secondary or second stage of basic education (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 1430, 2552.394, 3250 ] }, "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": [ 2543.262, 4333.334, 4875 ] }, "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": [ 6500, 8658.297, 9100 ] }, "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. First stage of tertiary education (not leading directly to an advanced research qualification) (ISCED-97)", "unit": "inr", "group": "Sex and education", "color": "#C9CED6", "data": [ 6053.467, 9750, 10833.333 ] }, "ear_emtm_sex_edu_nb__sex_f__edu_isced97_6": { "name": "ear_emtm_sex_edu_nb__sex_f__edu_isced97_6", "label": "Median 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": [ 8666.667, 13000, 16225.118 ] }, "ear_emtm_sex_geo_nb__sex_t__geo_cov_nat": { "name": "ear_emtm_sex_geo_nb__sex_t__geo_cov_nat", "label": "Median monthly earnings of employees: Total, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#2E4BD8", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_geo_nb__sex_t__geo_cov_rur": { "name": "ear_emtm_sex_geo_nb__sex_t__geo_cov_rur", "label": "Median monthly earnings of employees: Total, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C47A16", "data": [ 2383.333, 4246.667, 5416.667 ] }, "ear_emtm_sex_geo_nb__sex_t__geo_cov_urb": { "name": "ear_emtm_sex_geo_nb__sex_t__geo_cov_urb", "label": "Median monthly earnings of employees: Total, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#5F6675", "data": [ 3540.333, 6500, 8125 ] }, "ear_emtm_sex_geo_nb__sex_m__geo_cov_nat": { "name": "ear_emtm_sex_geo_nb__sex_m__geo_cov_nat", "label": "Median monthly earnings of employees: Male, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#878D99", "data": [ 3250, 6066.667, 7583.334 ] }, "ear_emtm_sex_geo_nb__sex_m__geo_cov_rur": { "name": "ear_emtm_sex_geo_nb__sex_m__geo_cov_rur", "label": "Median monthly earnings of employees: Male, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#A3A9B4", "data": [ 2708.333, 4550, 6066.667 ] }, "ear_emtm_sex_geo_nb__sex_m__geo_cov_urb": { "name": "ear_emtm_sex_geo_nb__sex_m__geo_cov_urb", "label": "Median monthly earnings of employees: Male, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 4016.682, 6933.334, 8666.667 ] }, "ear_emtm_sex_geo_nb__sex_f__geo_cov_nat": { "name": "ear_emtm_sex_geo_nb__sex_f__geo_cov_nat", "label": "Median monthly earnings of employees: Female, National", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 1733.333, 3540.333, 4333.334 ] }, "ear_emtm_sex_geo_nb__sex_f__geo_cov_rur": { "name": "ear_emtm_sex_geo_nb__sex_f__geo_cov_rur", "label": "Median monthly earnings of employees: Female, Rural", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 1261, 2383.333, 3089.667 ] }, "ear_emtm_sex_geo_nb__sex_f__geo_cov_urb": { "name": "ear_emtm_sex_geo_nb__sex_f__geo_cov_urb", "label": "Median monthly earnings of employees: Female, Urban", "unit": "inr", "group": "Sex and rural or urban", "color": "#C9CED6", "data": [ 2166.667, 5031.157, 5416.667 ] }, "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_total": { "name": "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_total", "label": "Median monthly earnings of employees: Total, Total (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#2E4BD8", "data": [ 3033.333, 5646.175, 6933.334 ] }, "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_1": { "name": "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_1", "label": "Median monthly earnings of employees: Total, Single / Widowed / Divorced (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#C47A16", "data": [ 1950, 3900, 5200 ] }, "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_2": { "name": "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_2", "label": "Median monthly earnings of employees: Total, Married / Union / Cohabiting (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#5F6675", "data": [ 4095, 6604, 8125 ] }, "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_x": { "name": "ear_emtm_sex_mts_nb__sex_t__mts_aggregate_x", "label": "Median monthly earnings of employees: Total, Not elsewhere classified (aggregate)", "unit": "inr", "group": "Sex and marital status", "color": "#878D99", "data": [ null, 4988.997, 7446.048 ], "withheld": [ "2005-01-01" ], "flags": { "U": [ "2010-01-01", "2012-01-01" ] } }, "ear_emtm_sex_mts_nb__sex_t__mts_details_total": { 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Legislators, senior officials and managers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 23833.334, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_2": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_2", "label": "Median monthly earnings of employees: Female, 2. Professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 10833.333, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_3": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_3", "label": "Median monthly earnings of employees: Female, 3. Technicians and associate professionals (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 5416.667, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_4": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_4", "label": "Median monthly earnings of employees: Female, 4. Clerks (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 8666.667, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_5": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_5", "label": "Median monthly earnings of employees: Female, 5. Service workers and shop and market sales workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 2491.53, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_6": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_6", "label": "Median monthly earnings of employees: Female, 6. Skilled agricultural and fishery workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 1820, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_7": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_7", "label": "Median monthly earnings of employees: Female, 7. Craft and related trades workers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 2354.757, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_8": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_8", "label": "Median monthly earnings of employees: Female, 8. Plant and machine operators and assemblers (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 3203.061, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_9": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_9", "label": "Median monthly earnings of employees: Female, 9. Elementary occupations (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 2019.333, null ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_0": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_0", "label": "Median monthly earnings of employees: Female, 0. Armed forces (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, null, 4333.334 ] }, "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_x": { "name": "ear_emtm_sex_ocu_nb__sex_f__ocu_isco88_x", "label": "Median monthly earnings of employees: Female, X. Not elsewhere classified (ISCO-88)", "unit": "inr", "group": "Sex and occupation", "color": "#C9CED6", "data": [ null, 1516.667, null ] }, "ear_tmta_sex_nb__sex_t": { "name": "ear_tmta_sex_nb__sex_t", "label": "Average monthly earnings of tourism sector employees: Total", "unit": "inr", "group": "Sex", "color": "#2E4BD8", "data": [ null, null, 10547.763 ] }, "ear_tmta_sex_nb__sex_m": { "name": "ear_tmta_sex_nb__sex_m", "label": "Average monthly earnings of tourism sector employees: Male", "unit": "inr", "group": "Sex", "color": "#C47A16", "data": [ null, null, 10625.657 ] }, "ear_tmta_sex_nb__sex_f": { "name": "ear_tmta_sex_nb__sex_f", "label": "Average monthly earnings of tourism sector employees: Female", "unit": "inr", "group": "Sex", "color": "#5F6675", "data": [ null, null, 9087.661 ] } } }