Bilateral international migration flow estimates

Estimates of bilateral international migration flows between 1990-1995 and 2015-2020 based on methods presented in Abel &amp; Cohen (2019).<br>See the Figshare collection for other files, including additional bilateral estimates by type of move (outward migration, return migration, and transit migration).<br>You might also be interested in files for sex-specific bilateral international migration flow estimates, provided in another Figshare collection.<br>DownloadUse the download button above for the CSV file or run the code below to directly bring into R:<code>library(readr)<br>f &lt;- read_csv("https://figshare.com/ndownloader/files/53235671")</code><br>Version DetailsUpdate of estimates of international migration flows from Abel &amp; Cohen (2019) based on the most recent published UN DESA International Migrant Stock (IMS2024) and World Population Prospects (WPP2024) data inputs. Refer to Version 1 (link above) for the estimates presented in the paper, based on WPP2017 and IMS2017.A description of the changes between each version of the estimates can be found here.<br>Data DetailsRow for each migration corridor-period combination (228 origins × 228 destinations × 4 periods + 230 origins × 230 destinations × 2 periods = 313,736).Three columns for each of the data dimensions: <code>year0</code> First year of five-year period <code>orig</code> Origin ISO three letter country code <code>dest</code>                         Destination ISO three letter country See the county list file for country names corresponding to the ISO three letter country codes.<br>Six columns of estimated flows from six different flow-from-stock estimation method: <code>sd_drop_neg</code> Stock differencing, drop negative values <code>sd_rev_neg</code> Stock differencing, reverse negative values to counterflow <code>mig_rate</code> Migration rates method <code>da_min_open</code> Demographic accounting, minimize migrant transitions (maximize stayers) - open accounting system <code>da_min_closed</code>                                           Demographic accounting, minimize migrant transitions (maximize stayers) - closed accounting system <code>da_pb_closed</code> 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.<br>

搜集汇总

背景与挑战

背景概述

该数据集提供了1990-2020年间全球双边国际移民流动的估计数据，涵盖多个时期和国家的流动情况，并采用六种不同的统计方法进行估计。数据基于最新的国际移民和人口统计数据，适用于人口学、经济学和社会学等领域的研究。