World mortality sample panel, 2015–2023 — mortality_world_sample_2015

A compact international panel of period life tables for selected countries from 2015 to 2023. The dataset is intended for comparative mortality examples, especially before, during, and after the COVID-19 pandemic period.

Usage

mortality_world_sample_2015_2023

Format

A tibble with 35,451 rows and 14 variables:

country: Country name.
country_code: Numeric ISO country code.
continent: Continent.
region: Geographic region.
year: Calendar year, from 2015 to 2023.
pandemic_period: Period label: "pre_pandemic", "pre_pandemic_reference", "pandemic", "transition", or "post_pandemic".
sex: Sex category: "male", "female", or "both".
x: Integer actuarial age, from 0 to 100.
mx: Central death rate at age x.
qx: One-year death probability between ages x and x + 1.
px: One-year survival probability between ages x and x + 1.
lx: Number of survivors at exact age x, based on l0 = 100000.
dx: Expected number of deaths between ages x and x + 1.
source: Data source.

Source

United Nations, World Population Prospects 2024.

Details

The dataset is derived from central death rates mx. Death probabilities qx were computed using the annual approximation $$ q_x = \frac{m_x}{1 + (1 - a_x)m_x}, $$ with $a_x = 0.5$. The last available age is closed by setting qx = 1. Survivors lx and expected deaths dx are then reconstructed recursively from l0 = 100000.

This dataset is a selected-country panel, not a complete world mortality database.

Examples

data(mortality_world_sample_2015_2023)

mortality_world_sample_2015_2023 |>
  dplyr::filter(country == "Colombia", sex == "both", x == 70) |>
  dplyr::select(year, pandemic_period, qx, lx)
#> # A tibble: 9 × 4
#>    year pandemic_period            qx     lx
#>   <int> <chr>                   <dbl>  <dbl>
#> 1  2015 pre_pandemic           0.0208 77051.
#> 2  2016 pre_pandemic           0.0202 77249.
#> 3  2017 pre_pandemic           0.0198 77413.
#> 4  2018 pre_pandemic           0.0196 77633.
#> 5  2019 pre_pandemic_reference 0.0193 78056.
#> 6  2020 pandemic               0.0261 73182.
#> 7  2021 pandemic               0.0309 67670.
#> 8  2022 transition             0.0206 77211.
#> 9  2023 post_pandemic          0.0180 79845.