variables: 821689

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
821689 Adult mortality rate (probability of dying between 15 and 60 years per 1000 population) - Sex: male rate   2024-03-06 13:51:08 2024-07-25 23:13:02     2000-2016 6403     
{
    "unit": "rate"
}
 0     adult_mortality_rate__probability_of_dying_between_15_and_60_years_per_1000_population__sex_male grapher/who/2024-01-03/gho/adult_mortality_rate__probability_of_dying_between_15_and_60_years_per_1000_population#adult_mortality_rate__probability_of_dying_between_15_and_60_years_per_1000_population__sex_male 
{
    "filters": [
        {
            "name": "sex",
            "value": "male"
        }
    ],
    "originalName": "Adult mortality rate (probability of dying between 15 and 60 years per 1000 population)",
    "originalShortName": "adult_mortality_rate__probability_of_dying_between_15_and_60_years_per_1000_population"
}
 2             Probability that a 15 year old person will die before reaching his/her 60th birthday. The probability of dying between the ages of 15 and 60 years (per 1 000 population) per year among a hypothetical cohort of 100 000 people that would experience the age-specific mortality rate of the reporting year. ##### Rationale Disease burden from non-communicable diseases among adults - the most economically productive age span - is rapidly increasing in developing countries due to ageing and health transitions. Therefore, the level of adult mortality is becoming an important indicator for the comprehensive assessment of the mortality pattern in a population. ##### Definition Probability that a 15 year old person will die before reaching his/her 60th birthday. The probability of dying between the ages of 15 and 60 years (per 1 000 population) per year among a hypothetical cohort of 100 000 people that would experience the age-specific mortality rate of the reporting year. ##### Method of measurement Civil or sample registration: Mortality by age and sex are used to calculate age specific rates. Census: Mortality by age and sex tabulated from questions on recent deaths that occurred in the household during a given period preceding the census (usually 12 months). Census or surveys: Direct or indirect methods provide adult mortality rates based on information on survival of parents or siblings. ##### Method of estimation Adult mortality rates are derived from life tables which draw on UN World Population Prospects revision, recent and unpublished analyses of all-cause and HIV mortality for countries with high HIV prevalence, vital registration data, and estimates of child mortality from UN Inter-agency Group for Child Mortality Estimation. More detailed methods are available from the link below (WHO life table methods). Predominant type of statistics: predicted 
[]
         float 
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 d4b4581b65edc792a11505b415c78745 42da91ed4ca8423a8d5db236781a4663

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