ReadHMD: Download The Human Mortality Database (HMD)

View source: R/readHMD.R

ReadHMDR Documentation

Download The Human Mortality Database (HMD)


Download detailed mortality and population data for different countries and regions in a single object from the Human Mortality Database.


  countries = NULL,
  interval = "1x1",
  save = FALSE,
  show = TRUE



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;


Specify the country data you want to download by adding the HMD country code/s. Options: "AUS","AUT","BEL","BGR","BLR","CAN","CHL","CHE","CZE", "DEUTE", "DEUTNP","DEUTW","DNK","ESP","EST","FIN","FRACNP","FRATNP","KOR","GBR_NIR", "GBR_NP","GBR_SCO","GBRCENW","GBRTENW","GRC", "HKG", "HUN","HRV","IRL", "ISL","ISR","ITA","JPN","LTU","LUX","LVA","NLD","NOR","NZL_MA","NZL_NM", "NZL_NP","POL", "PRT","RUS","SVK","SVN","SWE","TWN","USA","UKR". If NULL data for all the countries are downloaded at once;


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.


Your HMD username. If you don't have one you can sign up for free on the Human Mortality Database website.


Your HMD password.


Do you want to save a copy of the dataset on your local machine? Logical. Default: FALSE.


Choose whether to display a progress bar. Logical. Default: TRUE.


The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project began as an outgrowth of earlier projects in the Department of Demography at the University of California, Berkeley, USA, and at the Max Planck Institute for Demographic Research in Rostock, Germany (see history). It is the work of two teams of researchers in the USA and Germany (see research teams), with the help of financial backers and scientific collaborators from around the world (see acknowledgements). The Center on the Economics and Development of Aging (CEDA) French Institute for Demographic Studies (INED) has also supported the further development of the database in recent years.


A ReadHMD object that contains:


List with the input values (except the password).


Data downloaded from HMD.

Time stamp.


Numerical vector with the years covered in the data.


Numerical vector with ages covered in the data.


Marius D. Pascariu


## Not run: 

# !!! In June 2022, HMD has updated its website and access policy. At the
# moment the function still reads the old website. Use your old username
# and password to access the data.

# Download demographic data for 3 countries in 1x1 format
age_int  <- 1  # age interval: 1,5
year_int <- 1  # year interval: 1,5,10
interval <- paste0(age_int, "x", year_int)  # --> 1x1
# And the 3 countries: Sweden Denmark and USA. We have to use the HMD codes
cntr  <- c('SWE', 'DNK', 'USA')

# Download death counts. We don't want to export data outside R.
HMD_Dx <- ReadHMD(what = "Dx",
                  countries = cntr,
                  interval  = interval,
                  username  = "",
                  password  = "password",
                  save = FALSE)

# Download life tables for female population and export data.
LTF <- ReadHMD(what = "LT_f",
               countries = cntr,
               interval  = interval,
               username  = "",
               password  = "password",
               save = TRUE)

## End(Not run)

MortalityLaws documentation built on July 1, 2022, 5:06 p.m.