Package 'wpp2012'

Title: World Population Prospects 2012
Description: Data from the United Nation's World Population Prospects 2012
Authors: Hana Sevcikova ([email protected]), Patrick Gerland ([email protected]), Kirill Andreev ([email protected]), Nan Li ([email protected]), Danan Gu ([email protected]), Thomas Spoorenberg ([email protected])
Maintainer: Hana Sevcikova <[email protected]>
License: GPL (>= 2)
Version: 2.2-1
Built: 2024-11-14 05:13:56 UTC
Source: https://github.com/cran/wpp2012

Help Index

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:

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 ([email protected]), Patrick Gerland ([email protected]), Kirill Andreev ([email protected]), Nan Li ([email protected]), Danan Gu ([email protected]), Thomas Spoorenberg ([email protected])

Maintainer: Hana Sevcikova <[email protected]>

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 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. The e0*proj datasets start at 2010-2015. The e0*_supplemental datasets start at 1750-1755. Missing data have NA 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. The tfrproj* datasets start at 2010-2015. The tfr_supplemental datasets start at 1740-1745. Missing data have NA 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)

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)