{"id": 1154342, "name": "Gender wage gap - Occupation (Skill level): Total", "unit": "%", "createdAt": "2026-02-11T16:55:49.000Z", "updatedAt": "2026-02-11T16:55:49.000Z", "coverage": "", "timespan": "1969-2025", "datasetId": 7358, "shortUnit": "%", "columnOrder": 0, "shortName": "gender_wage_gap_by_occupation__classif1_occupation__skill_level__total", "catalogPath": "grapher/un/2026-02-03/ilostat/ilostat#gender_wage_gap_by_occupation__classif1_occupation__skill_level__total", "dimensions": {"years": {"values": [{"id": 2014}, {"id": 2020}, {"id": 2019}, {"id": 2021}, {"id": 2022}, {"id": 2023}, {"id": 1986}, {"id": 1987}, {"id": 1988}, {"id": 1991}, {"id": 1992}, {"id": 1993}, {"id": 1994}, {"id": 1995}, {"id": 1996}, {"id": 1997}, {"id": 1998}, {"id": 1999}, {"id": 2000}, {"id": 2001}, {"id": 2002}, {"id": 2003}, {"id": 2004}, {"id": 2005}, {"id": 2006}, {"id": 2007}, {"id": 2008}, {"id": 2009}, {"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2017}, {"id": 2018}, {"id": 2024}, {"id": 2015}, {"id": 2016}, {"id": 1969}, {"id": 1970}, {"id": 1971}, {"id": 1973}, {"id": 1974}, {"id": 1975}, {"id": 1976}, {"id": 1977}, {"id": 1978}, {"id": 1979}, {"id": 1980}, {"id": 1981}, {"id": 1982}, {"id": 1983}, {"id": 1984}, {"id": 1985}, {"id": 1989}, {"id": 1990}, {"id": 1972}, {"id": 2025}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 21, "name": "Argentina", "code": "ARG"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 26, "name": "Bahamas", "code": "BHS"}, {"id": 35, "name": "Bosnia and Herzegovina", "code": "BIH"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 38, "name": "Brunei", "code": "BRN"}, {"id": 33, "name": "Bhutan", "code": "BTN"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 199, "name": "Cook Islands", "code": "COK"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 169, "name": "Comoros", "code": "COM"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 279, "name": "Curacao", "code": "CUW"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 204, "name": "Kiribati", "code": "KIR"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 124, "name": "Lebanon", "code": "LBN"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 123, "name": "Lesotho", "code": "LSO"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 223, "name": "Marshall Islands", "code": "MHL"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 93, "name": "Puerto Rico", "code": "PRI"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 234, "name": "Suriname", "code": "SUR"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 287, "name": "Tokelau", "code": "TKL"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 235, "name": "Tonga", "code": "TON"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 255, "name": "Wallis and Futuna", "code": "WLF"}, {"id": 239, "name": "Samoa", "code": "WSM"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "descriptionShort": "Difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men.", "descriptionFromProducer": "**With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures.** The gender wage gap is unadjusted and is calculated as the difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. This indicator provides a measure of the relative difference between the earnings of men and those of women. Data disaggregated by occupation are provided according to the latest version of the International Standard Classification of Occupations (ISCO). Data may have been regrouped from the national classifications, which may not be strictly compatible with ISCO. For more information, refer to the [Wages and Working Time Statistics (COND) database description](https://ilostat.ilo.org/methods/concepts-and-definitions/description-wages-and-working-time-statistics/).", "descriptionProcessing": "We removed data points flagged as \"unreliable\" by the source (i.e. `obs_status = \"U\"` in the original data). These data points are likely to be inaccurate and misleading for analysis.", "type": "float", "datasetName": "ILOSTAT", "updatePeriodDays": 365, "datasetVersion": "2026-02-03", "nonRedistributable": false, "display": {"name": "Gender wage gap - Occupation (Skill level): Total", "unit": "%", "shortUnit": "%", "tolerance": 5, "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"attributionShort": "ILO", "topicTagsLinks": ["Work & Employment"]}, "origins": [{"id": 12491, "title": "ILOSTAT", "description": "The ILO\u2019s main online database, ILOSTAT, maintained by the Department of Statistics, is the world\u2019s largest repository of labour market statistics. It covers all countries and regions and a wide range of labour-related topics, including employment, unemployment, wages, working time and labour productivity, to name a few. It includes time series going back as far as 1938; annual, quarterly and monthly labour statistics; country-level, regional and global estimates; and even projections of the main labour market indicators.", "producer": "International Labour Organization", "citationFull": "International Labour Organization. (2026). ILO modelled estimates database, ILOSTAT [database]. Available from https://ilostat.ilo.org/data/.", "attributionShort": "ILO", "urlMain": "https://ilostat.ilo.org/", "dateAccessed": "2026-02-11", "datePublished": "2026-02-11", "license": {"url": "https://www.ilo.org/rights-and-permissions#data", "name": "CC BY 4.0"}}]}