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.
Download
Use the download button above for the CSV file or run the code below to bring the data into R directly:
library(readr)
f <- read_csv("https://figshare.com/ndownloader/files/53235860")
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 Details
Row 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