Description Usage Format Source Examples
United Nations table of locations, including regions, for statistical purposes as available in 2017.
1 2 |
A data frame with one observations per country or region. It contains the following variables:
name
Name of country or region (following ISO 3166 official short names in English - see
https://www.iso.org/obp/ui/#search/code/ and United Nations Multilingual Terminology Database - see https://unterm.un.org/unterm).
country_code
Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.
reg_code
Code of the regions.
reg_name
Name of the regions.
area_code
Area code.
area_name
Area names, such as Africa
, Asia
, Europe
Latin America and the Caribbean
, Northern America
, Oceania
, World
.
location_type
Code giving the type of the observation: 0=World, 2=Major Area, 3=Region, 4=Country/Area, 5=Development group, 12=Special groupings. Other numbers are allowed and they can be used for aggregation, see below.
agcode_1500
, agcode_1501
, agcode_1502
, agcode_1503
, agcode_1517
, agcode_901
, agcode_902
, agcode_921
, agcode_934
, agcode_941
, agcode_947
, agcode_948
Optional columns that can be used for aggregations. To aggregate a region with country_code
=x, get the value of its location_type
, say y. Then look for the column agcode_y
and locate all records with agcode_y
=x that have location_type
=4, see Example below.
Data provided by the United Nations Population Division.
The designations employed in this dataset do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.
1 2 3 4 5 6 | data(UNlocations)
# Find high income countries in Africa (based on World Bank groups)
grouprec <- subset(UNlocations, name == "High-income countries")
# grouprec$location_type is 1503, thus look for column agcode_1503
subset(UNlocations, agcode_1503 == grouprec$country_code &
location_type == 4 & area_name == "Africa")
|
name country_code reg_code reg_name area_code area_name
29 Seychelles 690 910 Eastern Africa 903 Africa
43 Equatorial Guinea 226 911 Middle Africa 903 Africa
location_type agcode_1500 agcode_1501 agcode_1502 agcode_1503 agcode_1517
29 4 -1 -1 -1 1503 -1
43 4 -1 -1 -1 1503 -1
agcode_901 agcode_902 agcode_921 agcode_934 agcode_941 agcode_947 agcode_948
29 -1 902 -1 934 -1 947 948
43 -1 902 -1 -1 941 947 948
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