variables: 819585

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
819585 Annual rural population at mid-year (projections) people   2024-01-26 11:04:50 2024-07-25 22:55:25     2019-2050 6362     
{
    "unit": "people",
    "isProjection": true,
    "numDecimalPlaces": 0
}
 0     annual_rural_population_at_mid_year_by_region__subregion_and_country_projections grapher/un/2024-01-17/urbanization_urban_rural/urbanization_urban_rural#annual_rural_population_at_mid_year_by_region__subregion_and_country_projections   2 minor   Annual rural population at mid-year       Rural population at mid-year based on the most recent censuses and official population estimates.   
[
    "The projection method for urban population in the World Urbanization Prospects involves a two-step process using an established extrapolation method based on urban-rural ratios. Initially, the average annual rate of change in the urban-rural ratio is calculated using data from the last two censuses, which informs the rate of change in urban and rural populations. This rate is then extrapolated, assuming a logistic path of urban proportion growth. Subsequently, a \"world norm\" is applied, estimated from empirical urban-rural growth differences in two groups of countries categorized by population size. This norm uses a regression equation to establish a hypothetical urban-rural growth difference for different levels of initial urban percentage.\n\nThe country-specific urban-rural growth difference is then converged with this hypothetical difference over 25 years, allowing the urbanization process of a country to align with a global urbanization pattern. This method ensures that urban-rural growth differences evolve towards a worldwide trend rather than remaining constant."
]
         float 
[]
 86c22dac8ea83a25ad6fb6f04a84aca8 b9cffca4d4bdafb9a511af6cc9ef359a

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