Original source: World Bank WDI, SP.POP.GROW<\/a>.<\/p>\n Disclosure: I work on Global Data Tracker, which hosts the CSV mirror below. The underlying population data are from the World Bank and its listed providers.<\/p>\n This fixed-2024 extract has 217 unique country\/area IDs, no aggregate rows and no missing growth values: 42 negative and 175 positive. All 217 values matched the current World Bank response when checked on October 11.<\/p>\n Columns: country_id, country, value, unit, year, source, publication, provider_footnote, source_context, context_sources. The final three fields are blank in this release. IDs follow World Bank country\/economy codes; don’t assume every key is ISO.<\/p>\n The rate is 100 \u00d7 ln(midyear population 2024 \/ midyear population 2023), in percent. It is not ordinary percentage change or a birth rate. Migration, displacement and revisions can affect comparisons; the rate alone does not explain causes. Method<\/a>.<\/p>\n Download the fixed-2024 CSV<\/a>, free without an account. Useful for practicing joins and comparing rates rather than population headcounts.<\/p>\n globaldatatracker.com<\/a>, selecting 2024. License: CC BY 4.0 with World Bank additional terms<\/a>.<\/p>\n<\/div>\n submitted by \/u\/TrekkingAround10 <\/a>
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