variables: 814718

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
814718 Survivorship age - Sex: both - Percentile: 80 years   2023-10-03 13:52:53 2024-07-08 17:26:15     1751-2022 6251     
{
    "unit": "years",
    "numDecimalPlaces": 1
}
 0     age__sex_both__percentile_80 grapher/demography/2023-09-27/survivor_percentiles/survivor_percentiles#age__sex_both__percentile_80 
{
    "filters": [
        {
            "name": "sex",
            "value": "both"
        },
        {
            "name": "percentile",
            "value": 80
        }
    ],
    "originalName": "Survivorship age",
    "originalShortName": "age"
}
 2 major         Alvarez & Vaupel (2023); Human Mortality Database (2023) The age until which the 80th percentile (20% of the population) of the population would survive until, if they experienced the same age-specific death rates throughout their whole lives as the age-specific death rates seen in that particular year.   
[
    "This is calculated with the period life tables indicators."
]
 This was calculated with the method published in Alvarez and Vaupel (2023), with code provided by the authors: Jesús-Adrián Alvarez, James W. Vaupel; Mortality as a Function of Survival. Demography 1 February 2023; 60 (1): 327–342. doi: https://doi.org/10.1215/00703370-10429097 These estimates were regenerated for data from more recent years in the Human Mortality Database. Original R code from: https://github.com/jssalvrz/s-ages       float 
[]
 f5fe1af3e24752722e3b7d5ec5fbae6a 52e6e55c7f3434300f72443b3acb7bd0

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