Published April 14, 2022 | Version v1
Journal article Open

Bilateral international migration flow estimates updated and refined by sex

  • 1. Shanghai University
  • 2. University of Chicago

Description

Females and males often migrate at different rates. Official data on sex-specific international migration flows are missing for most countries, prohibiting comparative measures to identify and address inequalities. Here we use six methods to estimate male and female five-year bilateral migration flows between 200 countries from 1990 to 2020. We validate the estimates from each method through correlations of several migration measures with equivalent reported statistics in countries that collect flow data. We find that the Pseudo-Bayesian demographic accounting method performs consistently better than the other estimation methods for both female and male estimated flows. The estimates from all methods indicate a decline in the share of female migration flows from 1990–1995 to 2005–2010 followed by a recovery over the decade since 2010.

Data availability

The formatted data and R code to produce the estimates in this paper are available online in the Figshare collection (https://doi.org/10.6084/m9.figshare.c.5800838). The data comprise three files for the input data: the bilateral migrant stock data, the demographic changes data and the population totals. The R code comprises a single R script that a) loads the input data, b) cleans the input data to a common set of countries in each period, c) derives native-born population totals in each country required for the demographic accounting methods and d) estimates migration flows using the six different methods. The estimation functions used were developed for the migest package (https://cran.r-project.org/package=migest) available on CRAN.

Files

Bilateral-international-migration-flow-estimates-updated-and-refined-by-sex.pdf

Additional details

Identifiers

DOI
10.1038/s41597-022-01271-z
Other
oai:uchicago.tind.io:5325

Funding

National Science Foundation of China
General Program

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Statistics