Description Usage Format Details Source References Examples
Datasets with historical population estimates and projections.
Datasets that start with popM
, popF
, popPropM
or popPropF
are age-specific and are organized as
data frames with one row per country and age group. For each country there are 21 age groups. It contains the following variables:
country
Country name.
country_code
Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.
age
A character string representing an age interval. For each country there are 21 values: “0-4”, “5-9”, “10-14”, “15-19”, “20-24”, “25-29”, “30-34”, “35-39”, “40-44”, “45-49”, “50-54”, “55-59”, “60-64”, “65-69”, “70-74”, “75-79”, “80-84”, “85-89”, “90-94”, “95-99”, and “100+” in that order.
1950
, 1955
, ...Population estimate or projection (in thousand) for the given time (mid-year).
The remaining datasets, i.e. those that either do not have “M” and “F” in their names or that start with popTM
and popTF
, contain one row per country.
Dataset pop
provides estimates of historical total population counts.
Datasets popM
(popF
) contain age-specific estimates of the historical population counts for male (female).
The remaining datasets contain projections. Their suffix determines if it is a median (“Med” or “”), half a child variant (“Low”, “High”), or lower (“l”) or upper (“u”) bound of the 80 and 95% probability interval.
Dataset popproj
provides median projection of total population counts, i.e. aggregated over sex and age. All datasets that start with “popproj” refer to total population.
Datasets that start with “popTMproj” and “popTFproj” contain projections of population for male and female, respectively, summed over ages.
Datasets that start with “popMproj” and “popFproj” age-specific projections for male and female, respectively.
Datasets that start with “popPropM” and “popPropF” contain sex- and age-specific projections on the scale of proportions.
All values are in thousands.
Projections were produced using the Azose et al. (2016) methodology. Historical estimates were provided by the United Nations, Department of Economic and Social Affairs, Population Division (2015).
Azose, J.J., Sevcikova, H., Raftery, A.E. (2016): Probabilistic population projections with migration uncertainty. Proceedings of the National Academy of Sciences, 113:6460-6465. http://www.pnas.org/content/113/23/6460.full
World Population Prospects: The 2015 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations.
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