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Geonames - All Cities with a population > 1000
All cities with a population > 1000 or seats of adm div (ca 80.000) Sources and Contributions Sources : GeoNames is aggregating over hundred different data sources . Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add miss...
Trust score
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poor
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Data schema (20 fields)
Filterable via the API (19)
geoname_idnameascii_namealternate_namesfeature_classfeature_codecountry_codecou_name_encountry_code_2admin1_codeadmin2_codeadmin3_codeadmin4_codepopulationelevationdemtimezonemodification_datelabel_en
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | geoname_idGeoname id | text | — |
| 100% | name | text | — |
| 100% | ascii_nameAscii name | text | — |
| 539.7% | alternate_namesAlternate names | text | — |
| 100% | feature_classFeature class | text | see http://www.geonames.org/export/codes.html |
| 100% | feature_codeFeature code | text | see http://www.geonames.org/export/codes.html, PPLC = capital city |
| 100% | country_codeCountry code | text | — |
| 99.9% | cou_name_enCountry name EN | text | — |
| 0.1% | country_code_2Country code 2 | text | — |
| 99.9% | admin1_codeAdmin1 code | text | — |
| — | admin2_codeAdmin2 code | text | — |
| — | admin3_codeAdmin3 code | int | — |
| — | admin4_codeAdmin4 code | text | — |
| — | population | int | — |
| — | elevation | text | — |
| — | demDIgital Elevation Model | int | — |
| — | timezone | text | — |
| — | modification_dateModification date | date | — |
| — | label_enLabel en | text | — |
| — | coordinates | geo_point_2d | — |
Schema captured from opendatasoft 2 hours 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 1dem: 43 · name: Robbinsville
{
"dem": 43,
"name": "Robbinsville",
"label_en": "United States",
"timezone": "America/New_York",
"elevation": "39",
"ascii_name": "Robbinsville",
"geoname_id": "5103354",
"population": 3041,
"admin1_code": "NJ",
"admin2_code": "021",
"admin3_code": 63850,
"admin4_code": null,
"coordinates": {
"lat": 40.21455,
"lon": -74.61932
},
"cou_name_en": "United States",
"country_code": "US",
"feature_code": "PPL",
"feature_class": "P",
"country_code_2": null,
"alternate_names": [
"Hungry Hill",
"Newtown",
"Poverty Hill",
"Robbinsville"
],
"modification_date": "2017-05-23"
}Record 2dem: 190 · name: Victory Gardens
{
"dem": 190,
"name": "Victory Gardens",
"label_en": "United States",
"timezone": "America/New_York",
"elevation": "191",
"ascii_name": "Victory Gardens",
"geoname_id": "5105831",
"population": 1532,
"admin1_code": "NJ",
"admin2_code": "027",
"admin3_code": 75890,
"admin4_code": null,
"coordinates": {
"lat": 40.87593,
"lon": -74.54238
},
"cou_name_en": "United States",
"country_code": "US",
"feature_code": "PPL",
"feature_class": "P",
"country_code_2": null,
"alternate_names": [
"Viktori Gadehns",
"Viktori Gardens",
"wyktwry gardnz nywjrsy",
"Виктори Гадэнс",
"Виктори Гарденс",
"وکٹری گارڈنز، نیو جرسی",
"ویکتوری گاردنز، نیوجرسی"
],
"modification_date": "2017-05-23"
}Record 3dem: 62 · name: Watchung
{
"dem": 62,
"name": "Watchung",
"label_en": "United States",
"timezone": "America/New_York",
"elevation": "54",
"ascii_name": "Watchung",
"geoname_id": "5106129",
"population": 5916,
"admin1_code": "NJ",
"admin2_code": "035",
"admin3_code": 77600,
"admin4_code": null,
"coordinates": {
"lat": 40.63788,
"lon": -74.45099
},
"cou_name_en": "United States",
"country_code": "US",
"feature_code": "PPL",
"feature_class": "P",
"country_code_2": null,
"alternate_names": [
"Vatchung",
"Vochang",
"watchwng nywjrsy",
"Ватчунг",
"Вочанг",
"واتچونگ، نیوجرسی"
],
"modification_date": "2017-05-23"
}Record 4dem: 112 · name: Wyckoff
{
"dem": 112,
"name": "Wyckoff",
"label_en": "United States",
"timezone": "America/New_York",
"elevation": "107",
"ascii_name": "Wyckoff",
"geoname_id": "5106615",
"population": 17124,
"admin1_code": "NJ",
"admin2_code": "003",
"admin3_code": 83050,
"admin4_code": null,
"coordinates": {
"lat": 41.00954,
"lon": -74.17292
},
"cou_name_en": "United States",
"country_code": "US",
"feature_code": "PPL",
"feature_class": "P",
"country_code_2": null,
"alternate_names": [
"Wikoff",
"Wyckoff"
],
"modification_date": "2021-08-29"
}Record 5dem: 189 · name: Angola on the Lake
{
"dem": 189,
"name": "Angola on the Lake",
"label_en": "United States",
"timezone": "America/New_York",
"elevation": "183",
"ascii_name": "Angola on the Lake",
"geoname_id": "5107212",
"population": 1675,
"admin1_code": "NY",
"admin2_code": "029",
"admin3_code": 24801,
"admin4_code": null,
"coordinates": {
"lat": 42.65478,
"lon": -79.04893
},
"cou_name_en": "United States",
"country_code": "US",
"feature_code": "PPL",
"feature_class": "P",
"country_code_2": null,
"alternate_names": [
"Angola on the Lake",
"Angola-on-te-Lejk",
"angwla an dy lyk",
"anqwla an dy lyk nywywrk",
"hu shang an ge la",
"Ангола-он-те-Лейк",
"انقولا آن دی لیک، نیویورک",
"انگولا آن دی لیک",
"湖上安哥拉"
],
"modification_date": "2017-05-23"
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/geonames-all-cities-with-a-population-1000
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/geonames-all-cities-with-a-population-1000/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.
Rate limits
10 000 000 req/day
per ipmeasured
observed 2 hours ago
Dataset
Volume & freshness
Records
170k
170363
Update cadence
Monthly
declared upstream
Last upstream update
15 days ago
2026-07-10
License
No license declared upstream.
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Source: opendatasoft
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