ReadAHMD: Download the Australian Human Mortality Database (AHMD)

In MortalityLaws: Parametric Mortality Models, Life Tables and HMD

Download the Australian Human Mortality Database (AHMD)

Description

Download detailed mortality and population data for different provinces and territories in Australia, in a single object from the Australian Human Mortality Database.

Usage

ReadAHMD(what, regions = NULL, interval = "1x1", save = FALSE, show = TRUE)

Arguments

what	What type of data are you looking for? The following options might be available for some or all the countries and regions: "births" – birth records; "Dx_lexis" – deaths by Lexis triangles; "Ex_lexis" – exposure-to-risk by Lexis triangles; "population" – population size; "Dx" – death counts; "Ex" – exposure-to-risk; "mx" – central death-rates; "LT_f" – period life tables for females; "LT_m" – period life tables for males; "LT_t" – period life tables both sexes combined; "e0" – period life expectancy at birth; "Exc" – cohort exposures; "mxc" – cohort death-rates; "LT_fc" – cohort life tables for females; "LT_mc" – cohort life tables for males; "LT_tc" – cohort life tables both sexes combined; "e0c" – cohort life expectancy at birth;
regions	Specify the region specific data you want to download by adding the AHMD region code/s. Options: "ACT" – Australian Capital Territory; "NSW" – New South Wales; "NT" – Northern Territory; "QLD" – Queensland; "SA" – South Australia; "TAS" – Tasmania; "VIC" – Victoria; "WA" – Western Australia; NULL – if NULL data for all the regions are downloaded.
interval	Datasets are given in various age and time formats based on which the records are agregated. Interval options: "1x1" – by age and year; "1x5" – by age and 5-year time interval; "1x10" – by age and 10-year time interval; "5x1" – by 5-year age group and year; "5x5" – by 5-year age group and 5-year time interval; "5x10" –by 5-year age group and 10-year time interval.
save	Do you want to save a copy of the dataset on your local machine? Logical. Default: FALSE.
show	Choose whether to display a progress bar. Logical. Default: TRUE.

Details

(Description taken from the AHMD website).

The Australian Human Mortality Database (AHMD) was created to provide detailed Australian mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project is an achievement of the Mortality, Ageing & Health research team in the ANU School of Demography under the supervision of Associate Professor Vladimir Canudas-Romo, in collaboration with demographers at the Max Plank Institute for Demographic Research (Rostock, Germany) and the Department of Demography, University of California at Berkeley.

The AHMD is a "satellite" of the Human Mortality Database (HMD), an international database which currently holds detailed data for multiple countries or regions. Consequently, the AHMD's underlying methodology corresponds to the one used for the HMD.

The AHMD gathers all required data (deaths counts, births counts, population size, exposure-to-risk, death rates) to compute life tables for Australia, its states and its territories. One of the great advantages of the database is to include data that is validated and corrected, when required, and rendered comparable, if possible, for the period ranging from 1971 thru 2016. For comparison purposes, various life tables published by governmental organizations are also available for download in PDF format.

Value

A ReadAHMD object that contains:

input	List with the input values;
data	Data downloaded from AHMD;
download.date	Time stamp;
years	Numerical vector with the years covered in the data;
ages	Numerical vector with ages covered in the data.

Author(s)

Marius D. Pascariu

See Also

ReadHMD ReadCHMD

Examples

# Download demographic data for Australian Capital Territory and
# Tasmania regions in 5x1 format

# Death counts. We don't want to export data outside R.
AHMD_Dx <- ReadAHMD(what = "Dx",
                    regions = c('ACT', 'TAS'),
                    interval  = "5x1",
                    save = FALSE)
ls(AHMD_Dx)
AHMD_Dx

# Download life tables for female population in all the states and export data.
LTF <- ReadAHMD(what = "LT_f", interval  = "5x1", save = FALSE)
LTF

MortalityLaws documentation built on Aug. 8, 2023, 5:10 p.m.