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wpp2012 (version 2.2-1)

pop: Estimates and Projections of Population Counts

Description

Datasets with age-specific male and female historical population estimates and projections. Datasets popM (popF) contains estimates of the historical population counts for male (female). Datasets popXprojMed, popXprojHigh and popXprojLow contain median, high and low projections, respectively, with X=M for male and X=F for female. 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, i.e. aggregated over sex and age. Datasets popprojHigh and popprojLow contain the upper and lower bounds of total population defined as +- 1/2 child.

Usage

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

Arguments

Format

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 for the given time (mid-year).
Datasets popproj80l, popproj80u, popproj95l, popproj95u, popprojHigh, and popprojLow contain one row per country.

Source

These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2013).

References

World Population Prospects: The 2012 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations. Probabilistic projections: http://esa.un.org/unpd/ppp

Examples

Run this code
data(popM)
str(popM)

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