geographiccitiesgeospatialpopulationcoordinatesurbandemographicscountriesclimateglobal

World Cities & Urban Areas Database

2025

Free

Open dataset

Sample structure: 100 / 100
16 download links issued
Seller: waseemahmad
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Category
Geographic
Records
10,500 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
16

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Not documented
Collection method
uploaded
Coverage / snapshot
2025
Data last updated
Not documented
Update schedule
Not documented

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 50140 of 140 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30140 of 140 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
city_name0 / 10string0 / 10
country_name0 / 10string0 / 10
country_code0 / 10string0 / 10
continent0 / 10string0 / 10
latitude0 / 10number0 / 10
longitude0 / 10number0 / 10
population0 / 10number0 / 10
elevation_m0 / 10number0 / 10
timezone0 / 10string0 / 10
is_capital0 / 10boolean0 / 10
climate_zone0 / 10string0 / 10
gdp_per_capita_usd0 / 10number0 / 10
language0 / 10string0 / 10
currency_code0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Geographic and demographic records for 10,500 cities across 179 countries, including coordinates, population estimates, elevation, timezone, climate classification, GDP per capita, primary language, and capital indicators.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 148ce1aa-ce99-4baa-a9b2-cb27c01a905a --output dataset.bin
Full supplier documentation
Original supplier listing: World Cities & Urban Areas Database — 2025 Long-running dataset of 10,500 cities across 179 countries and 6 continents. Includes geographic coordinates, population estimates, elevation, timezone, climate classification (simplified Köppen), GDP per capita, primary language, currency, and capital city indicators. Ideal for geospatial analysis, urban planning research, demographic studies, and machine learning applications.

Schema

NameTypeDescription
city_namestring
country_namestring
country_codestring
continentstring
latitudestring
longitudestring
populationstring
elevation_mstring
timezonestring
is_capitalstring
climate_zonestring
gdp_per_capita_usdstring
languagestring
currency_codestring

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "World Cities & Urban Areas Dat" })
// Found: 148ce1aa-ce99-4baa-a9b2-cb27c01a905a
get_download_url({ dataset_id: "148ce1aa-ce99-4baa-a9b2-cb27c01a905a" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/148ce1aa-ce99-4baa-a9b2-cb27c01a905a/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"