PopByAge: Estimates of Population Counts
In wpp2008: World Population Prospects 2008

Description Usage Format Source References Examples

Datasets with age-specific male and female historical population estimates.

1 2	data(popM) data(popF)

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 for the given time.

These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2009).

World Population Prospects: The 2008 Revision. Special Tabulations.

1 2	data(popM) str(popM)

'data.frame':	4137 obs. of  16 variables:
 $ country     : Factor w/ 197 levels "Afghanistan",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ country_code: int  4 4 4 4 4 4 4 4 4 4 ...
 $ age         : Factor w/ 21 levels "0-4","10-14",..: 1 11 2 4 5 6 7 8 9 10 ...
 $ 1950        : num  736 565 494 434 375 ...
 $ 1955        : num  767 638 545 475 411 ...
 $ 1960        : num  855 672 616 525 452 ...
 $ 1965        : num  962 756 651 596 501 ...
 $ 1970        : num  1095 860 733 630 570 ...
 $ 1975        : num  1247 988 837 713 605 ...
 $ 1980        : num  1317 1048 888 750 632 ...
 $ 1985        : num  1180 931 789 667 557 ...
 $ 1990        : num  1223 967 809 685 573 ...
 $ 1995        : num  1780 1405 1176 983 822 ...
 $ 2000        : num  2019 1615 1349 1127 932 ...
 $ 2005        : num  2343 1938 1639 1367 1130 ...
 $ 2010        : num  2658 2266 1973 1665 1376 ...