World Bank Country Classification — Region, Income Group, Lending Category, Capital And Coordinates For Every Economy

DatasetCSV.GZOpenWorld BankCountriesIncome GroupsReferenceDevelopmentFree

217 economies classified by the World Bank with ISO3 and ISO2 codes, geographic region, administrative region, income group (low, lower-middle, upper-middle, high), IDA/IBRD lending category, capital city and its coordinates, with the World Bank's short codes alongside each label, excluding the 78 regional and income aggregates, from the World Bank country API as of 2026-09-06.

Use Cases

Income-group and regional segmentation of country data
Emerging- and frontier-market universe definitions
Join table for World Bank indicator sets
Capital-city coordinates for maps

Methodology

Single API call; aggregate entries (region id NA) excluded; region, income and lending labels trimmed with their codes kept alongside; admin_region is blank for high-income economies, as at the source; sorted by ISO3.

Update Schedule

Static snapshot. The World Bank revises income classifications each July 1; refresh quarterly.

Attribution

Source: World Bank, Country API (api.worldbank.org/v2/country), CC BY 4.0.

Schema

name	type
iso3	string
iso2	string
name	string
region	string
region_code	string
admin_region	string
income_level	string
income_level_code	string
lending_type	string
lending_type_code	string
capital_city	string
longitude	number
latitude	number

Sample Data

iso2	iso3	name	region	latitude	longitude	region_code	admin_region	capital_city	income_level	lending_type	income_level_code	lending_type_code
AW	ABW	Aruba	Latin America & Caribbean	12.5167	-70.0167	LCN		Oranjestad	High income	Not classified	HIC	LNX
AF	AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	34.5228	69.1761	MEA	Middle East, North Africa, Afghanistan & Pakistan (excluding high income)	Kabul	Low income	IDA	LIC	IDX
AO	AGO	Angola	Sub-Saharan Africa	-8.81155	13.242	SSF	Sub-Saharan Africa (excluding high income)	Luanda	Lower middle income	IBRD	LMC	IBD
AL	ALB	Albania	Europe & Central Asia	41.3317	19.8172	ECS	Europe & Central Asia (excluding high income)	Tirane	Upper middle income	IBRD	UMC	IBD
AD	AND	Andorra	Europe & Central Asia	42.5075	1.5218	ECS		Andorra la Vella	High income	Not classified	HIC	LNX

Get this via API

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'World Bank Country Classification — Region, Income Group, Lending Category, Capital and Coordinates for Every Economy' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'World Bank Country Classification — Region, Income Group, Lending Category, Capital and Coordinates for Every Economy' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

Free

one time · open license

Details

Rows217

Size6.8 KB

Files1

FormatCSV.GZ

Available formats

CSV.GZ6.8 KB

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