wpp2015 (version 1.1-2)

pop: Estimates and Projections of Population Counts

Description

Datasets with historical population estimates and projections.

Usage

data(pop)
data(popM)
data(popF)
data(popproj)
data(popproj80l)
data(popproj80u)
data(popproj95l)
data(popproj95u)
data(popprojHigh)
data(popprojLow)
data(popMprojMed)
data(popFprojMed)
data(popMprojHigh)
data(popFprojHigh)
data(popMprojLow)
data(popFprojLow)

Format

Datasets that start with popM or popF 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 do not have “M” or “F” in their names, contain one row per country.

Details

Dataset pop provides estimates of historical total population counts.

Datasets popM (popF) contain age-specific estimates of the historical population counts for male (female).

Dataset popproj provides median projection of total population counts, i.e. aggregated over sex and age. Datasets popproj80l, popproj80u, popproj95l, and popproj95u are the lower (l) and upper (u) bounds of the 80 and 95% probability intervals of the total population. Datasets popprojHigh and popprojLow contain the upper and lower variant of total population defined as +- 1/2 child.

Datasets popXprojMed, popXprojHigh and popXprojLow contain median, high and low variants of age-specific projections, respectively, with X=M for male and X=F for female.

All values are in thousands.

References

World Population Prospects: The 2015 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations.

Examples

# NOT RUN {
data(popM)
str(popM)
# }