variables: 820001

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
820001 Rural population (HYDE estimates and UN projections) people   2024-02-01 10:38:47 2024-07-25 22:55:24     -10000-2050 6362     
{
    "unit": "people",
    "isProjection": true,
    "numDecimalPlaces": 0
}
 0     rurc_c grapher/un/2024-01-17/urbanization_urban_rural/urbanization_urban_rural#rurc_c   2 minor   Population residing in rural areas       Total rural population of a country over time.   
[
    "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 
[]
 2ef1da679f39b21524322c6176249e0c 907b53c4b2e5ad1a14a5adf7f80b13a4

Links from other tables