Description Usage Format Note Source References Examples
Age-specific data on mortality rates for male (mxM
) and female (mxF
).
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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). Not available data are represented by an empty string.
Data for ages 85-100+ are not the official UN data. While the published UN mortality datasets contain data only up to 85+, data for ages 85-100+ in this dataset were derived from UN published life table quantities.
These datasets are based on estimates and projections of United Nations, Department of Economic and Social Affairs, Population Division (2017).
World Population Prospects: The 2017 Revision. http://population.un.org/wpp
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country_code age name 1950-1955 1955-1960 1960-1965 1965-1970
1 900 0 WORLD 0.146920751 0.132978537 0.125110822 0.104149983
2 900 1 WORLD 0.023079364 0.020364270 0.018910653 0.015199630
3 900 5 WORLD 0.006312965 0.005589835 0.005072151 0.003615931
4 900 10 WORLD 0.003622467 0.003117891 0.002842789 0.001928038
5 900 15 WORLD 0.004302546 0.003699522 0.003251543 0.002375999
6 900 20 WORLD 0.005250973 0.004543820 0.003981680 0.003080254
1970-1975 1975-1980 1980-1985 1985-1990 1990-1995 1995-2000
1 0.095049121 0.084514980 0.074493615 0.066079311 0.062188087 0.056384604
2 0.012844636 0.011428155 0.009689088 0.008355207 0.007842656 0.007082478
3 0.003161207 0.002495121 0.002389611 0.002278963 0.001769855 0.001580382
4 0.001678724 0.001418853 0.001220770 0.001187090 0.001126588 0.001002114
5 0.001962862 0.001805196 0.001564376 0.001470929 0.001427151 0.001374613
6 0.002449096 0.002246591 0.001995372 0.001842703 0.001753215 0.001755129
2000-2005 2005-2010 2010-2015 2015-2020 2020-2025 2025-2030
1 0.0483671909 0.0403337182 0.0338441006 0.0294323233 0.0260096284 0.0230667817
2 0.0057195166 0.0043802808 0.0034492632 0.0030427620 0.0026931268 0.0023685022
3 0.0015873877 0.0014387531 0.0012150262 0.0010407647 0.0009106088 0.0008109400
4 0.0009536268 0.0009237449 0.0008455573 0.0007555420 0.0006596371 0.0005823052
5 0.0012455861 0.0011170967 0.0010495677 0.0009744076 0.0008744976 0.0007758938
6 0.0017071442 0.0014851561 0.0012968907 0.0012279259 0.0011449749 0.0010419140
2030-2035 2035-2040 2040-2045 2045-2050 2050-2055 2055-2060
1 0.0205084699 0.0182415059 0.0162840091 0.0146056578 0.0131605169 0.0119504973
2 0.0020627294 0.0017868370 0.0015517342 0.0013515369 0.0011851704 0.0010517153
3 0.0007244481 0.0006461428 0.0005720903 0.0005019419 0.0004405252 0.0003932122
4 0.0005200070 0.0004665204 0.0004200960 0.0003762421 0.0003359150 0.0003022385
5 0.0006920595 0.0006266428 0.0005746828 0.0005260794 0.0004789843 0.0004366887
6 0.0009345647 0.0008458521 0.0007814283 0.0007245672 0.0006688877 0.0006174236
2060-2065 2065-2070 2070-2075 2075-2080 2080-2085 2085-2090
1 0.0109238889 0.0100060646 0.0092437677 0.0085767993 0.0079826159 0.0074745851
2 0.0009441643 0.0008494862 0.0007739278 0.0007083610 0.0006530977 0.0006076512
3 0.0003564478 0.0003243400 0.0002985759 0.0002745472 0.0002538275 0.0002368668
4 0.0002750953 0.0002518608 0.0002326303 0.0002152336 0.0002006327 0.0001874367
5 0.0004005607 0.0003698770 0.0003444186 0.0003209442 0.0003017570 0.0002835242
6 0.0005700065 0.0005280461 0.0004927571 0.0004609970 0.0004354220 0.0004109722
2090-2095 2095-2100
1 0.0070232520 0.0066211661
2 0.0005675703 0.0005304680
3 0.0002220077 0.0002085303
4 0.0001757334 0.0001652684
5 0.0002667316 0.0002515017
6 0.0003875767 0.0003657987
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