Version: | 2.2-1 |
Date: | 2014-8-21 |
Title: | World Population Prospects 2012 |
Author: | Hana Sevcikova (hanas@uw.edu), Patrick Gerland (gerland@un.org), Kirill Andreev (andreev@un.org), Nan Li (li32@un.org), Danan Gu (gud@un.org), Thomas Spoorenberg (spoorenberg@un.org) |
Maintainer: | Hana Sevcikova <hanas@uw.edu> |
Depends: | R (≥ 2.14.2) |
Description: | Data from the United Nation's World Population Prospects 2012 |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://esa.un.org/wpp, http://esa.un.org/unpd/ppp |
Packaged: | 2014-08-21 23:29:13 UTC; hana |
NeedsCompilation: | no |
Repository: | CRAN |
Date/Publication: | 2014-08-22 07:14:07 |
World Population Prospects 2012
Description
Data from the United Nations World Population Prospects 2012.
Details
Package: | wpp2012 |
Version: | 2.2-1 |
Date: | 2014-8-21 |
Depends: | R (>= 2.14.2) |
License: | GPL (>= 2) |
URL: | http://esa.un.org/wpp, http://esa.un.org/unpd/ppp |
The package contains the following datasets:
-
tfr, tfr_supplemental, tfrprojMed, tfrproj80u, tfrproj80l, tfrproj95u, tfrproj95l, tfrprojHigh, tfrprojLow: estimates and projections of total fertility rate.
-
e0F, e0M, e0X_supplemental, e0Xproj, e0Xproj80u, e0Xproj80l, e0Xproj95u, e0Xproj95l: sex-specific estimates and projections of life expectancy with X=“F” and “M”.
-
popF, popM, popXprojMed, popXprojHigh, popXprojLow: age- and sex-specific population estimates and projections with X=“F” and “M”.
-
popproj80l, popproj80u, popproj95l, popproj95u, popprojLow, popprojHigh: Lower and upper bounds of 80 and 95% probability intervals of total population projections, as well as +-1/2 child variants.
-
migrationF, migrationM: age- and sex-specific net migration (see note below)
-
sexRatio: sex ratio at birth as a ratio of female to male
-
percentASFR: distribution of age-specific fertility rates
-
UNlocations: location dataset
Note
Distributions of net migrants by age and sex are provided for illustrative purpose only. Migration figures are based on intercensal net residuals and official statistics, population distribution by age and sex or simplified versions of Rogers-Castro migration age patterns, and incorporate statistical adjustment errors.
Author(s)
Hana Sevcikova (hanas@uw.edu), Patrick Gerland (gerland@un.org), Kirill Andreev (andreev@un.org), Nan Li (li32@un.org), Danan Gu (gud@un.org), Thomas Spoorenberg (spoorenberg@un.org)
Maintainer: Hana Sevcikova <hanas@uw.edu>
Source
These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2013). The probabilistic projections were produced with the method of Raftery et al. (2012).
References
World Population Prospects: The 2012 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations.
Probabilistic projections: http://esa.un.org/unpd/ppp
A. E. Raftery, N. Li, H. Sevcikova , P. Gerland, G. K. Heilig (2012). Bayesian probabilistic population projections for all countries. Proceedings of the National Academy of Sciences 109:13915-13921.
United Nations Table of Locations
Description
United Nations table of locations, including regions, as available in 2012.
Usage
data(UNlocations)
Format
A data frame with one observations per country or region. It contains the following seven variables:
name
Name of country or region (following ISO 3166 official short names in English - see
http://www.iso.org/iso/country_codes/iso_3166_code_lists/english_country_names_and_code_elements.htm and United Nations Multilingual Terminology Database - see http://unterm.un.org).country_code
Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.
reg_code
Code of the regions.
reg_name
Name of the regions.
area_code
Area code.
area_name
Area names, such as
Africa
,Asia
,Europe
Latin America and the Caribbean
,Northern America
,Oceania
,World
.location_type
Code giving the type of the observation (0=World, 2=Major Area, 3=Region, 4=Country/Area, 5=Development group, 12=Special groupings).
Source
Data provided by the United Nations Population Division
Examples
data(UNlocations)
United Nations Time Series of Life Expectancy
Description
Datasets containing the United Nations time series of the life expectancy (e0) for all countries of the world as available in 2012. Datasets e0F
and e0F_supplemental
contain estimates for female historical e0; e0M
and e0M_supplemental
contain estimates for male historical e0. The *_supplemental
datasets contain a subset of countries for which data prior 1950 are available. Datasets e0Mproj
and e0Fproj
contain projections of male and female e0, respectively. Datasets *80l
, *95l
are the lower bounds of 80 and 95% probability intervals, *80u
, *95u
are the corresponding upper bounds.
Usage
data(e0F)
data(e0M)
data(e0F_supplemental)
data(e0M_supplemental)
data(e0Fproj)
data(e0Mproj)
data(e0Fproj80l)
data(e0Fproj80u)
data(e0Mproj80l)
data(e0Mproj80u)
data(e0Fproj95l)
data(e0Fproj95u)
data(e0Mproj95l)
data(e0Mproj95u)
Format
The datasets contain one record per country or region. They contain the following variables:
country
Name of country or region (following ISO 3166 official short names in English - see http://www.iso.org/iso/country_codes/iso_3166_code_lists/english_country_names_and_code_elements.htm and United Nations Multilingual Terminology Database - see http://unterm.un.org).
country_code
Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.
1950-1955
,1955-1960
, ...Life expectancy in various five-year time intervals.
last.observed
containing the year of the last observation for each country. Thee0*proj
datasets start at2010-2015
. Thee0*_supplemental
datasets start at1750-1755
. Missing data haveNA
values.
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.
Examples
data(e0M)
head(e0M)
data(e0Fproj)
str(e0Fproj)
Datasets on Migration
Description
Estimates and projections of male and female age-specific net migration.
Usage
data(migrationM)
data(migrationF)
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.
1990-1995
,1995-2000
,2000-2005
, ...Net migration for the specific time period. Not available data are represented by an empty string.
Note
Distributions of net migrants by age and sex are provided for illustrative purpose only. Migration figures are based on intercensal net residuals and official statistics, population distribution by age and sex or simplified versions of Rogers-Castro migration age patterns, and incorporate statistical adjustment errors.
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.
Examples
data(migrationM)
str(migrationM)
Age-specific Mortality Data
Description
Age-specific data on mortality for male (mxM
) and female (mxF
).
Usage
data(mxM)
data(mxF)
Format
Data frames with one row per country and age group. For each country there are 22 or more age groups (i.e., up to age 100+ or 110+). 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 (given by the starting age of the interval). For each country there are 22 values: “0”, “1”, “5”, “10”, “15”, “20”, “25”, “30”, “35”, “40”, “45”, “50”, “55”, “60”, “65”, “70”, “75”, “80”, “85”, “90”, “95”, and “100+” in that order.
1950-1955
,1955-1960
, ...Mortality rate for the given time period. Not available data are represented by an empty string.
Source
This dataset is based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2013).
References
World Population Prospects: The 2013 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations.
Examples
data(mxF)
str(mxF)
Datasets on Age-specific Distribution of Fertility Rates
Description
Datasets giving the percentage of fertility rates over ages 15-50.
Usage
data(percentASFR)
Format
A data frame with one row per country and age group. For each country there are seven age groups. It contains columns country
, country_code
, age
and one columns per time interval.
Source
This dataset is 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.
Examples
data(percentASFR)
str(percentASFR)
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)
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
data(popM)
str(popM)
Sex Ratio at Birth
Description
Estimates and projections of the sex ratio at birth derived as the number of female divided by the number of male.
Usage
data(sexRatio)
Format
A data frame with one record per country. It contains columns country
, country_code
, and one columns per time interval.
Source
This dataset is 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.
Examples
data(sexRatio)
str(sexRatio)
United Nations Time Series of Total Fertility Rate
Description
Datasets containing the United Nations time series of the total fertility rate (TFR) for all countries of the world as available in 2012. Dataset tfr
contains estimates of the historical TFR starting with 1950; tfr_supplemental
contains a subset of countries for which data prior 1950 are available. Datasets tfrprojMed
contain the median projections. Datasets tfrproj80l
, tfrproj80u
, tfrproj95l
, and tfrproj95u
are the lower (l) and upper (u) bounds of the 80 and 95% probability intervals, respectively.
Datasets tfrprojHigh
and tfrprojLow
contain high and low variants, respectively, defined as +-1/2 child.
Usage
data(tfr)
data(tfr_supplemental)
data(tfrprojMed)
data(tfrproj80l)
data(tfrproj80u)
data(tfrproj95l)
data(tfrproj95u)
data(tfrprojHigh)
data(tfrprojLow)
Format
The datasets contain one record per country or region. It contains the following variables:
country
Name of country or region (following ISO 3166 official short names in English - see http://www.iso.org/iso/country_codes/iso_3166_code_lists/english_country_names_and_code_elements.htm and United Nations Multilingual Terminology Database - see http://unterm.un.org).
country_code
Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.
1950-1955
,1955-1960
, ...TFR in various five-year time intervals.
last.observed
containing the year of the last observation for each country. Thetfrproj*
datasets start at2010-2015
. Thetfr_supplemental
datasets start at1740-1745
. Missing data haveNA
values.
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.
Examples
data(tfr)
head(tfr)
data(tfrprojMed)
str(tfrprojMed)