39,912 rated or chosen profiles from 3,326 respondents, in up to 6 tasks of 2 profiles varying on 6 attributes.
| Description | Nigerian adults recruited through Facebook/Instagram ads chose which of two hypothetical destination countries they would rather migrate to, in 6 pairs varying jobs, climate risks, access to healthcare, family reunification, settlement rights and elections. 3,326 respondents (of the authors' 3,450 completes); forced choice. |
|---|---|
| Reference | Bayer, P., Ozturk, A., & Pardos-Prado, S. (2026). Climate migration or climate immobility? Evidence from micro-level causal analysis of migration intentions in Nigeria. Journal of Ethnic and Migration Studies. |
| DOI | 10.1080/1369183X.2026.2707755 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/47IM5S |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,326 |
|---|---|
| Rows (one per respondent, task and profile) | 39,912 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | immigration asylum |
|---|---|
| A profile represents | place |
| Country | NG |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Generally speaking, if you had to choose, which one of these two options w... (source label truncated at 80 characters) [choice, forced] |
|---|
attr_climateattr_family_reunificationattr_governmentattr_healthcareattr_jobsattr_settlementattrpos_climateattrpos_family_reunificationattrpos_governmentattrpos_healthcareattrpos_jobsattrpos_settlementchoicecov_agecov_areacov_duration_seccov_educationcov_gendercov_languagecov_migrate_likecov_migrate_likelycov_occupationcov_region_likecov_region_likelycov_religioncov_stateidprofiletasktrial_design_versiontrial_priming
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("bayer_2026_migration_destinations", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("bayer_2026_migration_destinations", source="conj")
@article{Bayer_2026, title={Climate migration or climate immobility? Evidence from micro-level causal analysis of migration intentions in Nigeria}, ISSN={1469-9451}, url={http://dx.doi.org/10.1080/1369183X.2026.2707755}, DOI={10.1080/1369183x.2026.2707755}, journal={Journal of Ethnic and Migration Studies}, publisher={Informa UK Limited}, author={Bayer, Patrick and Öztürk, Aykut and Pardos-Prado, Sergi}, year={2026}, month=July, pages={1–22} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |