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Bilateral international migration flow estimates by sex

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Figshare2022-01-27 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Bilateral_international_migration_flow_estimates_for_200_countries_by_sex_1990-1995_to_2015-2020_/12845711
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Estimates of bilateral international migration flows by sex between 1990-1995 and 2015-2020 based on methods presented in Abel & Cohen (2022). Part of a collection of files related to bilateral international migration flow estimates by sex. See the Figshare collection for additional files, including bilateral estimates by sex and type of migration (outward, return, and transit).You might also be interested in files for total bilateral international migration flow estimates, provided in another Figshare collection.DownloadUse the download button above for the CSV file or run the code below to bring the data into R directly:library(readr)f Version DetailsEstimates of international migration flows by sex from Abel & Cohen (2022) based on the most recent published UN DESA International Migrant Stock (IMS2024) and World Population Prospects (WPP2022) data inputs. Refer to Version 1 (link above) for the estimates presented in the paper, which are based on WPP2019 and IMS2020.A description of the changes between each version of the estimates (of total flows, not by sex) can be found here.Data DetailsRow for each migration corridor - period - sex combination (228 origins x 228 destinations x 4 periods x 2 sexes + 230 origins x 230 destinations x 2 periods x 2 sexes = 627,472).Four columns for each of the data dimensions: year0 First year of five-year period sex Sex of persons orig Origin ISO three letter country code dest Destination ISO three letter country See the county list file for country names corresponding to the ISO three-letter country codes.Six columns of estimated flows from six different flow-from-stock estimation methods: sd_drop_neg Stock differencing, drop negative values sd_rev_neg Stock differencing, reverse negative values to counterflow mig_rate Migration rates method da_min_open Demographic accounting, minimize migrant transitions (maximize stayers) - open accounting system da_min_closed Demographic accounting, minimize migrant transitions (maximize stayers) - closed accounting system da_pb_closed Demographic accounting, pseudo-Bayesian average of migrant transitions and stayers - closed accounting system Refer to the published paper for detailed information on each method and usage notes.
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2022-01-27
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