ASMR: Age-specific Mortality Data

In wpp2019: World Population Prospects 2019

Description

Age-specific data on mortality rates for male (mxM) and female (mxF).

Usage

data(mxM)
data(mxF)

Format

Data frames with one row per country and age group. They contain the following variables:

country_code

Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see http://en.wikipedia.org/wiki/ISO_3166-1_numeric.

name

Country name.

age

A character string representing an age interval (given by the starting age of the interval).

1950-1955, 1955-1960, ...

mx for the given five-year time period (i.e., from 1 July in year t to 1 July in year t+5 such as the period 1950-1955 refers to the period 1950.5-1955.5 and the mid of the period is 1953.0).

Source

These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2019).

References

World Population Prospects: The 2019 Revision. http://population.un.org/wpp

Examples

data(mxF)
head(mxF)

Example output

  country_code  name age   1950-1955   1955-1960   1960-1965   1965-1970
1          900 World   0 0.145288764 0.131381468 0.123964432 0.103677116
2          900 World   1 0.023034637 0.020262729 0.018805079 0.015189143
3          900 World   5 0.006395956 0.005637733 0.005102728 0.003630538
4          900 World  10 0.003745148 0.003196942 0.002896564 0.001967435
5          900 World  15 0.004386559 0.003755542 0.003278692 0.002398550
6          900 World  20 0.005336508 0.004603908 0.004009058 0.003103994
    1970-1975   1975-1980   1980-1985   1985-1990   1990-1995   1995-2000
1 0.094104975 0.084345803 0.074352766 0.065946290 0.062038970 0.056213911
2 0.013013539 0.011468295 0.009719212 0.008334383 0.007859501 0.006986732
3 0.003211381 0.002488683 0.002353793 0.002244846 0.001734495 0.001543346
4 0.001731376 0.001445821 0.001230258 0.001186823 0.001148176 0.000996008
5 0.001985808 0.001826209 0.001572787 0.001470777 0.001437946 0.001385473
6 0.002478406 0.002262101 0.002003214 0.001846014 0.001755561 0.001754469
    2000-2005   2005-2010   2010-2015   2015-2020   2020-2025   2025-2030
1 0.048509010 0.040036915 0.032605830 0.027732251 0.024198097 0.021277460
2 0.005675996 0.004291033 0.003270877 0.002731115 0.002458703 0.002219093
3 0.001497315 0.001355904 0.001132042 0.000955976 0.000852426 0.000779159
4 0.000953677 0.000906207 0.000804971 0.000716589 0.000645516 0.000583984
5 0.001272711 0.001131315 0.001015211 0.000919761 0.000847079 0.000768808
6 0.001726168 0.001499441 0.001264630 0.001166631 0.001104631 0.001030511
    2030-2035   2035-2040   2040-2045   2045-2050   2050-2055   2055-2060
1 0.018786829 0.016717656 0.014989028 0.013554873 0.012376533 0.011396156
2 0.001993259 0.001788540 0.001603059 0.001439695 0.001299258 0.001176550
3 0.000718545 0.000660006 0.000602303 0.000546424 0.000494192 0.000450718
4 0.000535973 0.000495998 0.000456909 0.000420210 0.000385180 0.000353338
5 0.000701913 0.000650445 0.000607819 0.000567176 0.000527177 0.000489057
6 0.000948814 0.000879334 0.000824320 0.000780631 0.000736075 0.000690963
    2060-2065   2065-2070   2070-2075   2075-2080   2080-2085   2085-2090
1 0.010566963 0.009843249 0.009229470 0.008694691 0.008237391 0.007839027
2 0.001068234 0.000969481 0.000885286 0.000810830 0.000745385 0.000687127
3 0.000411917 0.000377598 0.000347349 0.000319575 0.000294805 0.000272163
4 0.000325685 0.000301325 0.000279630 0.000260260 0.000242433 0.000225665
5 0.000454710 0.000424211 0.000397775 0.000373865 0.000351866 0.000330492
6 0.000647822 0.000607378 0.000572368 0.000541429 0.000512562 0.000483714
    2090-2095   2095-2100
1 0.007496374 0.007184902
2 0.000637432 0.000592543
3 0.000252253 0.000234207
4 0.000210567 0.000197042
5 0.000310992 0.000292828
6 0.000457383 0.000432153

wpp2019 documentation built on March 26, 2020, 6:34 p.m.