
A complete, ready-to-use country and flag pack covering all 250 ISO 3166-1 codes, including territories and dependencies such as Hong Kong, Puerto Rico, Guernsey, Antarctica and Kosovo. The dataset ships in two flat formats — countries.json, laid out exactly like the Country Flags API list response, and countries.csv, one row per country for Excel, pandas, R or a straight database import. Every record carries the English country name from the Unicode CLDR, the alpha-2, alpha-3 and numeric ISO codes, the continental region, the flag emoji and the paths to that country''s image files. Alongside the data you get three renderings of all 250 flags, each named by its lowercase alpha-2 code so the files join straight onto the spreadsheet: a 2560x1920 PNG with a real alpha channel, so non-rectangular flags such as Nepal''s keep a transparent background; a Photoshop document at 1600x1200 and 300 DPI with the flag on its own named layer over a flattened composite, ready to drop into a print or web comp; and the original scalable SVG vector. Useful for design systems and mockups, country pickers and checkout forms, dashboards and maps, print material, games, and any teaching or research work that needs consistent, correctly-coded flag artwork.
| Name | Type | Example |
|---|---|---|
| name | String | United States |
| code | String | US |
| alpha3 | String | USA |
| numeric | String | 840 |
| region | String | Americas |
| emoji | String | 🇺🇸 |
| flag_svg | String | https://dataandapis.com/flags/us.svg |
| flag_png | String | png/us.png |
| flag_psd | String | psd/us.psd |
| Name | Type | Example |
|---|---|---|
| countries.json | JSON | 250 records, same shape as GET /v1/flags |
| countries.csv | CSV | 250 rows, semicolon separated, UTF-8 |
| png/ | PNG | 250 files, 2560x1920, RGBA |
| psd/ | PSD | 250 files, 1600x1200 at 300 DPI, layered |
| svg/ | SVG | 250 original vector flags |
For businesses with specific requirements or higher volume needs
Get immediate access to all data files
Community Discussions Coming Soon
We're building a space for community discussions where you can share insights, ask questions, and connect with other data enthusiasts.