World Administrative Boundaries - Countries
This dataset displays level 0 world administrative boundaries. It contains countries. This dataset was created based on this dataset , where shapes are dissolved according to "iso3 country code" field, to retrieve sovereign countries shapes.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (15 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | iso3_codeISO 3 country code | text | ISO 3 code of the country to which the territory belongs |
| — | iso2_codeISO 2 country code | text | — |
| — | preferred_termPreferred term | text | — |
| — | english_shortEnglish Term | text | — |
| — | french_shortFrench Name | text | French term, when it is available in https://data.opendatasoft.com/explore/dataset/countries-territories-taxonomy-mvp-ct-taxonomy-with-hxl-tags1%40public/table/, English name otherwise |
| — | spanish_shortSpanish Term | text | — |
| — | russian_shortRussian Term | text | — |
| — | chinese_shortChinese Term | text | — |
| 96.1% | arabic_shortArabic Term | text | — |
| 100% | region_codeRegion code | int | — |
| 100% | region_nameRegion name | text | — |
| 100% | sub_region_codeSub region code | int | — |
| 100% | sub_region_nameSub region name | text | — |
Schema captured from opendatasoft 6 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1geo_shape: [large value omitted] · iso2_code: IN
{
"geo_shape": "[large value omitted]",
"iso2_code": "IN",
"iso3_code": "IND",
"region_code": 142,
"region_name": "Asia",
"arabic_short": "الهند",
"french_short": "Inde (l') [fém.]",
"geo_point_2d": {
"lat": 23.0169869604866,
"lon": 79.60849262377202
},
"chinese_short": "印度",
"english_short": "India",
"russian_short": "Индия",
"spanish_short": "India (la)",
"preferred_term": "India",
"sub_region_code": 34,
"sub_region_name": "Southern Asia"
}Record 2geo_shape: [large value omitted] · iso2_code: MX
{
"geo_shape": "[large value omitted]",
"iso2_code": "MX",
"iso3_code": "MEX",
"region_code": 19,
"region_name": "Americas",
"arabic_short": "المكسيك",
"french_short": "Mexique (le)",
"geo_point_2d": {
"lat": 23.950463865568725,
"lon": -102.53288549746286
},
"chinese_short": "墨西哥",
"english_short": "Mexico",
"russian_short": "Мексика",
"spanish_short": "México",
"preferred_term": "Mexico",
"sub_region_code": 419,
"sub_region_name": "Latin America and the Caribbean"
}Record 3geo_shape: [large value omitted] · iso2_code: VU
{
"geo_shape": "[large value omitted]",
"iso2_code": "VU",
"iso3_code": "VUT",
"region_code": 9,
"region_name": "Oceania",
"arabic_short": "فانواتو",
"french_short": "Vanuatu (le) [masc.]",
"geo_point_2d": {
"lat": -16.25505304424061,
"lon": 167.71814623978997
},
"chinese_short": "瓦努阿图",
"english_short": "Vanuatu",
"russian_short": "Вануату",
"spanish_short": "Vanuatu",
"preferred_term": "Vanuatu",
"sub_region_code": 54,
"sub_region_name": "Melanesia"
}Record 4geo_shape: [large value omitted] · iso2_code: IR
{
"geo_shape": "[large value omitted]",
"iso2_code": "IR",
"iso3_code": "IRN",
"region_code": 142,
"region_name": "Asia",
"arabic_short": "إيران (جمهورية - الإسلامية)",
"french_short": "Iran (République islamique d')",
"geo_point_2d": {
"lat": 32.73946308870443,
"lon": 54.19776609324838
},
"chinese_short": "伊朗(伊斯兰共和国)",
"english_short": "Iran",
"russian_short": "Иран (Исламская Республика)",
"spanish_short": "Irán (República Islámica del)",
"preferred_term": "Iran (Islamic Republic of)",
"sub_region_code": 34,
"sub_region_name": "Southern Asia"
}Record 5geo_shape: {"type":"Feature","geometry":{"type":"Mu · iso2_code: SC
{
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
46.51388,
-9.39361
],
[
46.47611,
-9.4225
],
[
46.46527,
-9.42472
],
[
46.44916,
-9.42556
],
[
46.41861,
-9.41917
],
[
46.40555,
-9.41861
],
[
46.39527,
-9.42139
],
[
46.33305,
-9.43945
],
[
46.32278,
-9.44278
],
[
46.26917,
-9.46306
],
[
46.26305,
-9.4625
],
[
46.23805,
-9.45736
],
[
46.22166,
-9.44722
],
[
46.21166,
-9.43333
],
[
46.20611,
-9.41917
],
[
46.20569,
-9.39681
],
[
46.21611,
-9.40736
],
[
46.23833,
-9.42139
],
[
46.26749,
-9.42972
],
[
46.30221,
-9.42806
],
[
46.36527,
-9.41306
],
[
46.42555,
-9.38611
],
[
46.44972,
-9.34646
],
[
46.46805,
-9.34889
],
[
46.48305,
-9.35361
],
[
46.5118,
-9.36514
],
[
46.52131,
-9.37743
],
[
46.51388,
-9.39361
]
]
],
[
[
[
55.53527,
-4.76306
],
[
55.53249,
-4.78917
],
[
55.5243,
-4.78694
],
[
55.51111,
-4.77611
],
[
55.47749,
-4.74056
],
[
55.37541,
-4.62514
],
[
55.44527,
-4.55806
],
[
55.46388,
-4.55167
],
[
55.475,
-4.55945
],
[
55.53819,
-4.66375
],
[
55.54055,
-4.68389
],
[
55.53527,
-4.76306
]
]
]
]
},
"properties": {}
},
"iso2_code": "SC",
"iso3_code": "SYC",
"region_code": 2,
"region_name": "Africa",
"arabic_short": "سيشيل",
"french_short": "Seychelles (les) [fém.]",
"geo_point_2d": {
"lat": -6.354369979634344,
"lon": 52.229899400494574
},
"chinese_short": "塞舌尔",
"english_short": "Seychelles",
"russian_short": "Сейшельские Острова",
"spanish_short": "Seychelles",
"preferred_term": "Seychelles",
"sub_region_code": 202,
"sub_region_name": "Sub-Saharan Africa"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/world-administrative-boundaries-countries
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/world-administrative-boundaries-countries/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
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Dataset
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License
No license declared upstream.
Source: opendatasoft
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