PopByAge: Estimates and Projections of Population Counts

Description Usage Format Details Source References Examples

Description

Datasets with historical population estimates and projections.

Usage

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Format

Datasets that start with popM or popF and do not have “T” in their names, 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_code

Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.

name

Country name.

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.

The remaining datasets, i.e. those that do not have “M” or “F”, or have “T” in their names, contain one row per country.

Details

Dataset pop provides estimates of historical total population counts.

Datasets popMT and popFT provide estimates of total counts of male and female population, respectively.

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 popMTproj and popFTproj provide median projection of total counts of male and female population, respectively.

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.

Source

These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2019).

References

World Population Prospects: The 2019 Revision. http://population.un.org/wpp.

Examples

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Example output

'data.frame':	5229 obs. of  18 variables:
 $ country_code: int  900 900 900 900 900 900 900 900 900 900 ...
 $ name        : chr  "World" "World" "World" "World" ...
 $ age         : chr  "0-4" "5-9" "10-14" "15-19" ...
 $ 1950        : num  172420 138298 133686 122155 113207 ...
 $ 1955        : num  207941 161087 134817 130542 118354 ...
 $ 1960        : num  221606 196203 158035 131917 126961 ...
 $ 1965        : num  244985 210104 192262 155046 128692 ...
 $ 1970        : num  267293 234848 207446 189471 151513 ...
 $ 1975        : num  278289 257638 231924 204456 186012 ...
 $ 1980        : num  280164 269790 255353 229895 201553 ...
 $ 1985        : num  302397 272585 267331 253189 226726 ...
 $ 1990        : num  330649 295190 270567 265117 249684 ...
 $ 1995        : num  319726 323931 293461 267996 260565 ...
 $ 2000        : num  318141 314049 321975 290819 263671 ...
 $ 2005        : num  324554 313764 312860 319208 286149 ...
 $ 2010        : num  337184 320668 312621 310243 314102 ...
 $ 2015        : num  346247 333336 318749 310734 307555 ...
 $ 2020        : num  349433 342928 331497 316642 308287 ...

wpp2019 documentation built on March 26, 2020, 6:34 p.m.