Bilateral international migration flow estimates
Version 8 2025-03-26, 05:16Version 8 2025-03-26, 05:16
Version 7 2024-10-29, 08:42Version 7 2024-10-29, 08:42
Version 6 2022-10-28, 03:52Version 6 2022-10-28, 03:52
Version 5 2021-02-01, 02:44Version 5 2021-02-01, 02:44
Version 4 2020-08-04, 09:53Version 4 2020-08-04, 09:53
Version 3 2020-08-03, 08:24Version 3 2020-08-03, 08:24
Version 2 2020-08-03, 07:41Version 2 2020-08-03, 07:41
Version 1 2019-05-16, 07:52Version 1 2019-05-16, 07:52
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posted on 2025-03-26, 05:16 authored by Guy AbelGuy AbelEstimates of bilateral international migration flows between 1990-1995 and 2015-2020 based on methods presented in Abel & Cohen (2019).
See the county list file for country names corresponding to the ISO three letter country codes.
Refer to the published paper for detailed information on each method and usage notes.
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Use the download button above for the CSV file or run the code below to directly bring into R:
library(readr)
f <- read_csv("https://figshare.com/ndownloader/files/53235671")
Version Details
Update of estimates of international migration flows from Abel & 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.Data Details
Row 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:
year0 | First year of five-year period |
orig | Origin ISO three letter country code |
dest | Destination ISO three letter country |
Six columns of estimated flows from six different flow-from-stock estimation method:
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 |
Funding
National Science Foundation of China funding research fund for International Young Scientists (Grant Agreement Number: 41650110483).
U.S. National Science Foundation grant DMS-1225529
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