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. If there are NAs for ages 85 and older, the “80-84” category is to be treated as “80+”.

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”, 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 (2017).

References

World Population Prospects: The 2017 Revision. http://esa.un.org/unpd/wpp.

Examples

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Example output

'data.frame':	5061 obs. of  17 variables:
 $ country_code: int  900 900 900 900 900 900 900 900 900 900 ...
 $ name        : Factor w/ 241 levels "AFRICA","ASIA",..: 234 234 234 234 234 234 234 234 234 234 ...
 $ age         : Factor w/ 21 levels "0-4","10-14",..: 1 11 2 4 5 6 7 8 9 10 ...
 $ 1950        : num  172362 138173 133434 122020 113151 ...
 $ 1955        : num  207082 160982 134741 130395 118249 ...
 $ 1960        : num  220852 195286 157996 131937 126823 ...
 $ 1965        : num  245625 209267 191436 155176 128657 ...
 $ 1970        : num  267077 235355 206751 188826 151512 ...
 $ 1975        : num  277684 257336 232438 203804 185443 ...
 $ 1980        : num  280193 269058 255066 230426 201038 ...
 $ 1985        : num  303218 272506 266703 252975 227329 ...
 $ 1990        : num  330661 295881 270418 264586 249552 ...
 $ 1995        : num  320931 323880 294247 268070 260309 ...
 $ 2000        : num  314356 315216 322080 291766 264015 ...
 $ 2005        : num  322528 309658 313778 319788 287687 ...
 $ 2010        : num  337003 318452 308281 311452 315394 ...
 $ 2015        : num  348222 333214 316714 306452 309128 ...

wpp2017 documentation built on May 2, 2019, 7:22 a.m.