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" | ""`
}