This repo has the Country Taxonomy which is used in Data Futures Platform (https://data.undp.org/). Each country is defined as a single object in the array. The data structure is:
| Key | DataType | Description |
|---|---|---|
| Alpha-3 code-1 | string |
Three-letter country codes defined in ISO 3166-1 |
| Country or Area | string |
Name of the country or region |
| Alpha-2 code | string |
Two-letter country codes defined in ISO 3166-1 |
| Numeric code | string |
Three-digit country codes defined in ISO 3166-1 |
| Latitude (average) | string |
Latitude value of the middle point of the country shape |
| Longitude (average) | string |
Longitude value of the middle point of the country shape |
| Group 1 | string |
The contitent area the region belong to. Available values: Africa, Americas, Asia, Europe, Oceania |
| Group 2 | string |
2nd level the region belongs to. Available values: Latin America and the Caribbean, Northern America, Southern Asia, Central Asia, South-eastern Asia, Eastern Asia, Western Asia, Sub-Saharan Africa, Northern Africa, Southern Europe, Western Europe, Northern Europe, Polynesia, Melanesia, Micronesia, Australia and New Zealand |
| Group 3 | string |
3rd level the region belong to. |
| LDC | boolean |
Defined if a region or country belongs to Least Developed Countries (LDC) group |
| LLDC | boolean |
Defined if a region or country belongs to Landlocked developing countries (LLDC) group |
| SIDS | boolean |
Defined if a region or country belongs to Small Island Developing States (SIDS) |
| Development classification | string |
|
| Income group | string |
Available values: Low income, Lower middle income, Upper middle income, High income |
Example
{
"Alpha-3 code-1": `string`,
"Country or Area": `string`,
"Alpha-2 code": `string`,
"Numeric code": `string`,
"Latitude (average)": `string`,
"Longitude (average)": `string`,
"Group 1": "Africa",
"Group 2": "Sub-Saharan Africa",
"Group 3": "Western Africa",
"LDC": `boolean`,
"LLDC": `boolean`,
"SIDS": `boolean`,
"Development classification": `string`,
"Income group": `"Low income" | "Lower middle income" | "Upper middle income" | "High income" | ""`
}