pop {wpp2015} | R Documentation |
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.
Source
These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2015).
References
World Population Prospects: The 2015 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations.
Examples
data(popM)
str(popM)