A data frame with one observations per country or region. It contains the following variables:
nameName 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_codeNumerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.
reg_codeCode of the regions.
reg_nameName of the regions.
area_codeArea code.
area_nameArea names, such as Africa, Asia, Europe Latin America and the Caribbean, Northern America, Oceania, World.
location_typeCode 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_1500000, agcode_1501000, agcode_1502000, agcode_1503000, agcode_1517000, agcode_1518000, agcode_1524000, agcode_1636000, agcode_1637000, agcode_1829000, agcode_1830000, agcode_1832000, agcode_1833000, agcode_1835000, agcode_901000, agcode_902000, agcode_917000, agcode_918000, agcode_921000, agcode_927000, agcode_934000, agcode_941000, agcode_947000, agcode_948000, tree_levelOptional 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.