The Gender Equality Index was initially created by the European Institute for Gender Equality. It measures how far (or close) the EU-27 and its Member States were from achieving complete gender equality in 2010. It provides results at both Member States and EU-27 level. It synthesises the complexity of gender equality in an easily interpretable measure.
The Index consists of six core domains:
work
money
knowledge
time
power
health
For this reuse, we did not took the two satellite domains (intersecting inequalities and violence) into account. Feel free to look at the original dataset to explore these two additional categories.\u00a0
The Gender Equality Index assigns scores for Member States, between 1, total inequality and 100, full equality. It also provides results for each domain and sub-domain.
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Participation", "type": "double"}, {"name": "work_fte_employment", "label": "Work - FTE employment", "type": "double"}, {"name": "work_duration_of_working_life", "label": "Work - Duration of working life", "type": "double"}, {"name": "work_segregation_and_quality_of_work", "label": "Work - Segregation and quality of work", "type": "double"}, {"name": "work_sectoral_segregation", "label": "Work - Sectoral segregation", "type": "double"}, {"name": "work_flexibility_of_working_time", "label": "Work - Flexibility of working time", "type": "double"}, {"name": "work_health_and_safety", "label": "Work - Health and safety", "type": "double"}, {"name": "work_training_at_work", "label": "Work - Training at work", "type": "double"}, {"name": "money_general_index", "label": "Money - General Index", "type": "double"}, {"name": "money_financial_resources", "label": "Money - Financial resources", "type": "double"}, {"name": "money_earnings", "label": "Money - Earnings", "type": "double"}, {"name": "money_income", "label": "Money - Income", "type": "double"}, {"name": "money_economic_situation", "label": "Money - Economic situation", "type": "double"}, {"name": "money_not_at_risk_of_poverty", "label": "Money - Not at-risk-of-poverty", "type": "double"}, {"name": "money_income_distribution", "label": "Money - Income distribution", "type": "double"}, {"name": "knowledge_general_index", "label": "Knowledge - General Index", "type": "double"}, {"name": "knowledge_educational_attainment_and_segregation", "label": "Knowledge - Educational attainment and segregation", "type": "double"}, {"name": "knowledge_tertiary_education", "label": "Knowledge - Tertiary education", "type": "double"}, {"name": "knowledge_segregation", "label": "Knowledge - Segregation", "type": "double"}, {"name": "knowledge_lifelong_learning", "label": "Knowledge - Lifelong learning", "type": "double"}, {"name": "time_general_index", "label": "Time - General Index", "type": "double"}, {"name": "time_care_activities", "label": "Time - Care activities", "type": "double"}, {"name": "time_childcare_activities", "label": "Time - Childcare activities", "type": "double"}, {"name": "time_domestic_activities", "label": "Time - Domestic activities", "type": "double"}, {"name": "time_social_activities", "label": "Time - Social activities", "type": "double"}, {"name": "time_sport_culture_and_leisure_activities", "label": "Time - Sport, culture and leisure activities", "type": "double"}, {"name": "time_volunteering_and_charitable_activities", "label": "Time - Volunteering and charitable activities", "type": "double"}, {"name": "power_general_index", "label": "Power - General Index", "type": "double"}, {"name": "power_political", "label": "Power - Political", "type": "double"}, {"name": "power_ministerial_representation", "label": "Power - Ministerial representation", "type": "double"}, {"name": "power_parliamentary_representation", "label": "Power - Parliamentary representation", "type": "double"}, {"name": "power_regional_assemblies_representation", "label": "Power - Regional assemblies representation", "type": "double"}, {"name": "power_economic", "label": "Power - Economic", "type": "double"}, {"name": "power_members_of_boards", "label": "Power - Members of boards", "type": "double"}, {"name": "power_members_of_central_bank", "label": "Power - Members of Central Bank", "type": "double"}, {"name": "health_general_index", "label": "Health - General Index", "type": "double"}, {"name": "health_status", "label": "Health - Status", "type": "double"}, {"name": "health_self_perceived_health", "label": "Health - Self-perceived health", "type": "double"}, {"name": "health_life_expectancy", "label": "Health - Life expectancy", "type": "double"}, {"name": "health_healthy_life_years", "label": "Health - Healthy life years", "type": "double"}, {"name": "health_access", "label": "Health - Access", "type": "double"}, {"name": "health_unmet_medical_needs", "label": "Health - Unmet medical needs", "type": "double"}, {"name": "health_unmet_dental_needs", "label": "Health - Unmet dental needs", "type": "double"}, {"name": "geo_shape", "label": "Geo Shape", "type": "geo_shape"}, {"name": "geo_point", "label": "Geo Point", "type": "geo_point_2d"}], "basic_metas": {"default": {"metadata_processed": "2021-03-26T10:39:06.969116+00:00", "data_processed": "2021-03-26T10:39:05+00:00", "modified": "2017-03-26T09:37:14+00:00", "license": "Public Domain", "publisher": "European Institute for Gender Equality", "description": "The Gender Equality Index was initially created by the European Institute for Gender Equality. It measures how far (or close) the EU-27 and its Member States were from achieving complete gender equality in 2010. It provides results at both Member States and EU-27 level. It synthesises the complexity of gender equality in an easily interpretable measure.
The Index consists of six core domains:
work
money
knowledge
time
power
health
For this reuse, we did not took the two satellite domains (intersecting inequalities and violence) into account. Feel free to look at the original dataset to explore these two additional categories.\u00a0
The Gender Equality Index assigns scores for Member States, between 1, total inequality and 100, full equality. It also provides results for each domain and sub-domain.
", "theme": ["Administration, Government, Public finances, Citizenship"], "title": "Gender Equality in Europe", "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "http://open-data.europa.eu/en/data/dataset/gender-equality-index", "metadata_languages": ["en"], "geographic_reference": ["world"], "language": "en", "geometry_types": ["MultiPolygon", "Polygon"], "territory": ["World"], "records_count": 28}}, "interop_metas": {}, "extra_metas": {}}, {"datasetid": "geonames-all-cities-with-a-population-1000", "metas": {"domain": "documentation-resources", "staged": false, "visibility": "domain", "metadata_processed": "2022-06-30T09:07:07.357214+00:00", "data_processed": "2021-07-16T06:49:32+00:00", "modified": "2021-06-23T14:37:45+00:00", "title": "Geonames - All Cities with a population > 1000", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "metadata_languages": ["en"], "geographic_reference": ["world"], "language": "en", "geometry_types": ["Point"], "territory": ["World"], "records_count": 137628}, "has_records": true, "data_visible": true, "features": ["geo", "analyze", "timeserie"], "attachments": [{"mimetype": "application/zip", "id": "cities1000_zip", "title": "cities1000.zip", "url": "odsfile://cities1000.zip"}], "alternative_exports": [], "fields": [{"name": "geoname_id", "annotations": [{"args": ["-count"], "name": "facetsort"}, {"name": "id"}], "label": "Geoname ID", "type": "text"}, {"name": "name", "annotations": [{"name": "sortable"}], "label": "Name", "type": "text"}, {"name": "ascii_name", "label": "ASCII Name", "type": "text"}, {"name": "alternate_names", "annotations": [{"args": [","], "name": "multivalued"}], "label": "Alternate Names", "type": "text"}, {"name": "feature_class", "description": "see http://www.geonames.org/export/codes.html", "label": "Feature Class", "type": "text"}, {"name": "feature_code", "description": "see http://www.geonames.org/export/codes.html", "label": "Feature Code", "type": "text"}, {"name": "country_code", "label": "Country Code", "type": "text"}, {"name": "cou_name_en", "annotations": [{"name": "facet"}, {"name": "disjunctive"}, {"args": ["alphanum"], "name": "facetsort"}], "label": "Country name EN", "type": "text"}, {"name": "country_code_2", "label": "Country Code 2", "type": "text"}, {"name": "admin1_code", "label": "Admin1 Code", "type": "text"}, {"name": "admin2_code", "annotations": [{"args": ["-count"], "name": "facetsort"}], "label": "Admin2 Code", "type": "text"}, {"name": "admin3_code", "label": "Admin3 Code", "type": "text"}, {"name": "admin4_code", "label": "Admin4 Code", "type": "text"}, {"name": "population", "label": "Population", "type": "int"}, {"name": "elevation", "label": "Elevation", "type": "text"}, {"name": "dem", "label": "DIgital Elevation Model", "type": "int"}, {"name": "timezone", "annotations": [{"name": "facet"}, {"args": ["/"], "name": "hierarchical"}], "label": "Timezone", "type": "text"}, {"name": "modification_date", "label": "Modification date", "type": "date"}, {"name": "label_en", "label": "LABEL EN", "type": "text"}, {"name": "coordinates", "annotations": [{"args": ["-count"], "name": "facetsort"}], "label": "Coordinates", "type": "geo_point_2d"}], "basic_metas": {"default": {"metadata_processed": "2022-06-30T09:07:07.357214+00:00", "data_processed": "2021-07-16T06:49:32+00:00", "modified": "2021-06-23T14:37:45+00:00", "title": "Geonames - All Cities with a population > 1000", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "metadata_languages": ["en"], "geographic_reference": ["world"], "language": "en", "geometry_types": ["Point"], "territory": ["World"], "records_count": 137628}}, "interop_metas": {}, "extra_metas": {}}, {"datasetid": "average-commute-time-by-county", "metas": {"domain": "documentation-resources", "staged": false, "visibility": "domain", "metadata_processed": "2021-06-09T17:01:48.090782+00:00", "data_processed": "2021-06-09T17:01:48+00:00", "modified": "2017-03-26T09:26:27+00:00", "license": "Public Domain", "publisher": "U.S. Census Bureau", "description": "Average commute time in each U.S. county in minutes.
This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
", "theme": ["Transport, Movements"], "title": "Average Commute Time by County", "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "http://api.census.gov/data/2015/acs5/profile?get=NAME,DP03_0025E&for=county:*", "metadata_languages": ["en"], "geographic_reference": ["world_us"], "language": "en", "geometry_types": ["MultiPolygon", "Polygon"], "territory": ["United States of America"], "records_count": 3220}, "has_records": true, "data_visible": true, "features": ["analyze", "geo"], "attachments": [], "alternative_exports": [], "fields": [{"name": "name", "label": "name", "type": "text"}, {"name": "commuting_time", "annotations": [{"args": ["minutes"], "name": "unit"}], "label": "Mean Commuting Time", "type": "double"}, {"name": "state_code", "label": "State FIPS Code", "type": "text"}, {"name": "county_code", "label": "County FIPS Code", "type": "text"}, {"name": "county", "annotations": [{"name": "facet"}], "label": "County", "type": "text"}, {"name": "state", "annotations": [{"name": "facet"}], "label": "State", "type": "text"}, {"name": "geoid", "label": "geoid", "type": "text"}, {"name": "geo_shape", "label": "Geo Shape", "type": "geo_shape"}, {"name": "geo_point_2d", "label": "geo_point_2d", "type": "geo_point_2d"}], "basic_metas": {"default": {"metadata_processed": "2021-06-09T17:01:48.090782+00:00", "data_processed": "2021-06-09T17:01:48+00:00", "modified": "2017-03-26T09:26:27+00:00", "license": "Public Domain", "publisher": "U.S. Census Bureau", "description": "Average commute time in each U.S. county in minutes.
This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
", "theme": ["Transport, Movements"], "title": "Average Commute Time by County", "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "http://api.census.gov/data/2015/acs5/profile?get=NAME,DP03_0025E&for=county:*", "metadata_languages": ["en"], "geographic_reference": ["world_us"], "language": "en", "geometry_types": ["MultiPolygon", "Polygon"], "territory": ["United States of America"], "records_count": 3220}}, "interop_metas": {}, "extra_metas": {}}, {"datasetid": "oil-prices", "metas": {"domain": "documentation-resources", "staged": false, "visibility": "domain", "metadata_processed": "2021-01-18T17:40:36.609707+00:00", "data_processed": "2021-01-04T11:04:05+00:00", "modified": "2021-01-04T10:57:40+00:00", "license": "Public Domain", "publisher": "EIA", "description": "Extract Monthly prices \u00a0from 1988 to 2019.
Europe Brent and WTI (Western Texas Intermediate) Spot Prices (Annual/ Monthly/ Weekly/ Daily) from EIA U.S. (Energy Information Administration).
This series is available through the EIA open data API
A blended crude stream produced in the North Sea region which serves as a reference or \u201cmarker\u201d for pricing a number of other crude streams.\u00a0source
", "theme": ["Economy, Business, SME, Economic development, Employment"], "title": "Oil Prices", "keyword": ["oil", "price", "WTI", "brent"], "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "https://datahub.io/core/oil-prices", "metadata_languages": ["en"], "geographic_reference": ["world_fr"], "language": "en", "attributions": ["U.S. Energy Information Administration (Jan 2021)"], "territory": ["France"], "records_count": 384}, "has_records": true, "data_visible": true, "features": ["analyze", "timeserie"], "attachments": [], "alternative_exports": [], "fields": [{"name": "date", "annotations": [{"name": "facet"}, {"args": ["month"], "name": "timeserie_precision"}, {"args": ["-alphanum"], "name": "facetsort"}], "label": "Date", "type": "date"}, {"name": "wti_price", "annotations": [{"args": ["-count"], "name": "facetsort"}], "label": "WTI Price", "type": "double"}, {"name": "brent_price", "annotations": [{"args": ["-count"], "name": "facetsort"}], "label": "Brent Price", "type": "double"}], "basic_metas": {"default": {"metadata_processed": "2021-01-18T17:40:36.609707+00:00", "data_processed": "2021-01-04T11:04:05+00:00", "modified": "2021-01-04T10:57:40+00:00", "license": "Public Domain", "publisher": "EIA", "description": "A crude stream produced in Texas and southern Oklahoma which serves as a reference or \u201cmarker\u201d for pricing a number of other crude streams and which is traded in the domestic spot market at Cushing, Oklahoma.\u00a0source
Extract Monthly prices \u00a0from 1988 to 2019.
Europe Brent and WTI (Western Texas Intermediate) Spot Prices (Annual/ Monthly/ Weekly/ Daily) from EIA U.S. (Energy Information Administration).
This series is available through the EIA open data API
A blended crude stream produced in the North Sea region which serves as a reference or \u201cmarker\u201d for pricing a number of other crude streams.\u00a0source
", "theme": ["Economy, Business, SME, Economic development, Employment"], "title": "Oil Prices", "keyword": ["oil", "price", "WTI", "brent"], "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "https://datahub.io/core/oil-prices", "metadata_languages": ["en"], "geographic_reference": ["world_fr"], "language": "en", "attributions": ["U.S. Energy Information Administration (Jan 2021)"], "territory": ["France"], "records_count": 384}}, "interop_metas": {}, "extra_metas": {}}, {"datasetid": "gold-prices", "metas": {"domain": "documentation-resources", "staged": false, "visibility": "domain", "metadata_processed": "2021-01-15T16:28:41.146181+00:00", "data_processed": "2021-01-04T10:52:59+00:00", "modified": "2021-01-04T10:27:19+00:00", "license": "Public Domain", "publisher": "http://www.bundesbank.de", "description": "A crude stream produced in Texas and southern Oklahoma which serves as a reference or \u201cmarker\u201d for pricing a number of other crude streams and which is traded in the domestic spot market at Cushing, Oklahoma.\u00a0source
Monthly price from 1988 to 2019.
", "theme": ["Economy, Business, SME, Economic development, Employment"], "title": "Gold Prices", "keyword": ["gold"], "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "https://datahub.io/core/gold-prices", "metadata_languages": ["en"], "geographic_reference": ["world_fr"], "language": "en", "territory": ["France"], "records_count": 384}, "has_records": true, "data_visible": true, "features": ["analyze", "timeserie"], "attachments": [], "alternative_exports": [], "fields": [{"name": "date", "annotations": [{"args": ["month"], "name": "timeserie_precision"}, {"name": "facet"}, {"args": ["-alphanum"], "name": "facetsort"}], "label": "Date", "type": "date"}, {"name": "price", "label": "Price", "type": "double"}], "basic_metas": {"default": {"metadata_processed": "2021-01-15T16:28:41.146181+00:00", "data_processed": "2021-01-04T10:52:59+00:00", "modified": "2021-01-04T10:27:19+00:00", "license": "Public Domain", "publisher": "http://www.bundesbank.de", "description": "Monthly price from 1988 to 2019.
", "theme": ["Economy, Business, SME, Economic development, Employment"], "title": "Gold Prices", "keyword": ["gold"], "license_url": "", "federated": false, "modified_updates_on_metadata_change": false, "geographic_reference_auto": true, "modified_updates_on_data_change": false, "references": "https://datahub.io/core/gold-prices", "metadata_languages": ["en"], "geographic_reference": ["world_fr"], "language": "en", "territory": ["France"], "records_count": 384}}, "interop_metas": {}, "extra_metas": {}}, {"datasetid": "affiches-anciennes", "metas": {"domain": "documentation-resources", "staged": false, "visibility": "domain", "metadata_processed": "2021-03-26T10:39:46.654843+00:00", "data_processed": "2021-03-26T10:39:45+00:00", "modified": "2021-03-26T10:22:57+00:00", "license": "Licence Ouverte v2.0", "publisher": "D\u00e9partement des Hauts-de-Seine", "description": "Affiches anciennes conserv\u00e9es aux Archives d\u00e9partementales des Hauts-de-Seine
Affiches anciennes conserv\u00e9es aux Archives d\u00e9partementales des Hauts-de-Seine
This dataset is a list of reference datasets curated by ODS team. \u00a0
Criteria of choice include:
- dataset was produced by ODS Data team from official reference data;
- dataset was produced and published by an administration;
- dataset is likely to be maintained regularly (or replaced by another more reliable one);
- dataset is useful for a range of use cases.\u00a0
This dataset is a list of reference datasets curated by ODS team. \u00a0
Criteria of choice include:
- dataset was produced by ODS Data team from official reference data;
- dataset was produced and published by an administration;
- dataset is likely to be maintained regularly (or replaced by another more reliable one);
- dataset is useful for a range of use cases.\u00a0
This dataset lists the administrative levels and countries available when using the Retrieve Administrative Divisions processor.
Points in those countries can be placed within their corresponding \nadministrative levels (according to the latest available year).
This dataset lists the administrative levels and countries available when using the Retrieve Administrative Divisions processor.
Points in those countries can be placed within their corresponding \nadministrative levels (according to the latest available year).
Ce jeu de donn\u00e9es fait partie du \"r\u00e9f\u00e9rentiel g\u00e9ographique\" Opendatasoft. Ces donn\u00e9es sont utilis\u00e9es dans nos processeurs et outils de la plateforme.\u00a0Ces donn\u00e9es ont \u00e9t\u00e9 cr\u00e9\u00e9es \u00e0 partir de plusieurs sources de donn\u00e9es diff\u00e9rentes. \u00a0 \u00a0
Ce jeu propose les donn\u00e9es les plus r\u00e9centes sur les r\u00e9gions France M\u00e9tropolitaine et DROM. Il est issu du jeu f\u00e9d\u00e9r\u00e9. Pour couvrir l'ensemble du territoire et am\u00e9liorer l'utilisation de nos processeurs g\u00e9ographiques, les collectivit\u00e9s d'outre-mer ont \u00e9t\u00e9 \u00e9galement int\u00e9gr\u00e9es.\u00a0
Donn\u00e9es
Enrichissement/Modification
Ce jeu de donn\u00e9es fait partie du \"r\u00e9f\u00e9rentiel g\u00e9ographique\" Opendatasoft. Ces donn\u00e9es sont utilis\u00e9es dans nos processeurs et outils de la plateforme.\u00a0Ces donn\u00e9es ont \u00e9t\u00e9 cr\u00e9\u00e9es \u00e0 partir de plusieurs sources de donn\u00e9es diff\u00e9rentes. \u00a0 \u00a0
Ce jeu propose les donn\u00e9es les plus r\u00e9centes sur les r\u00e9gions France M\u00e9tropolitaine et DROM. Il est issu du jeu f\u00e9d\u00e9r\u00e9. Pour couvrir l'ensemble du territoire et am\u00e9liorer l'utilisation de nos processeurs g\u00e9ographiques, les collectivit\u00e9s d'outre-mer ont \u00e9t\u00e9 \u00e9galement int\u00e9gr\u00e9es.\u00a0
Donn\u00e9es
Enrichissement/Modification