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Download RosBris Data

Source: R/get_rosbris.R
get_rosbris.Rd

Download age-specific mortality, fertility, and population data from the Russian Fertility and Mortality Database (RosBris) and return them as long-format data frames for use in demor.

Usage

get_rosbris(
  dataset = c("mortality_1", "mortality_5", "fertility_1", "fertility_5"),
  refresh = FALSE
)

Source

Russian Fertility and Mortality Database. Center for Demographic Research, Moscow (Russia). Available at https://www.nes.ru/research-main/research-centers/demogr/demogr-fermort-data

Arguments

dataset

Character. Dataset to download and parse. One of "mortality_1", "mortality_5", "fertility_1", or "fertility_5".

refresh

Logical. If FALSE (default), previously downloaded RosBris archives are reused from the local cache directory. If TRUE, archives are downloaded again from the RosBris website.

Value

A data frame with one row per year-region-age combination. Column structure depends on dataset; see Details.

Details

The function downloads official .zip archives from the RosBris website, stores them in a user cache directory created by tools::R_user_dir(), reads .txt tables from the archives, and converts them to long-format data frames.

Returned data have the following structure:

  • "mortality_1": year, code, territory, sex, age, mx, N, Dx, name.

  • "mortality_5": year, code, territory, sex, age, mx, N, Dx, name.

  • "fertility_1": year, code, territory, age, fx, N, Bx, name.

  • "fertility_5": year, code, territory, age, fx, fx1, fx2, fx3, fx4, fx5, N, Bx, Bx1, Bx2, Bx3, Bx4, Bx5, name.

At the moment, get_rosbris() uses the legacy RosBris series corresponding to the periods 1989-2014 and 2015-2022. Updated post-census series are not used by this function.

See also

rosbris.codes

Examples

# \donttest{
if (interactive()) {
  mort <- get_rosbris("mortality_5")
  rus2010 <- subset(
    mort,
    year == 2010 & code == 1100 & sex == "m" & territory == "t"
  )
  head(rus2010)
}
# }