larsen_2026_local_preservation

28,850 rated or chosen profiles from 28,850 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.

About this table

Description28,850 Danish adults each read one vignette about a hypothetical construction project in their municipality, randomized in project type (9), size (3), height (4) and distance from home (10 bands, shown on a personalized map and/or in text; a control group got neither), and rated support and perceived impacts.
ReferenceLarsen, M. V., & Nyholt, N. (2026). Understanding nimbyism as local preservationism. The Journal of Politics.
DOI10.1086/741691
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/dvn/ijeue1

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents28,850
Rows (one per respondent, task and profile)28,850
Tasks per respondent (most)1
Profiles per task1
Attributes4

Design

Topichousing neighbourhoods
A profile representspolicy
CountryDK
Language shownda
Language of stored levelsen
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingAre you for or against the proposed development project? 1 I am definitely against, 2 I am against, 3 I am predominantly against, 4 I am neither for nor against, 5 I am predominantly for, 6 I am for, 7 I am definitely for; 8 Don't know kept as 8 (translated) [rating, 1 (I am definitely against) to 8 (Don't know (coded 8; 1-7 runs to 'I am definitely for'))]
rating_congestionThe project will create more congestion. (1 Completely disagree, 2 Somewhat disagree, 3 Neither agree nor disagree, 4 Somewhat agree, 5 Completely agree; 6 Don't know kept as 6) (translated) [rating, 1 (Completely disagree) to 6 (Don't know (coded 6; 1-5 is agreement, 5 = completely agree))]
rating_home_value_dropThe project will reduce the value of my property. (1 Completely disagree, 2 Somewhat disagree, 3 Neither agree nor disagree, 4 Somewhat agree, 5 Completely agree; 6 Don't know kept as 6) (translated) [rating, 1 (Completely disagree) to 6 (Don't know (coded 6; 1-5 is agreement, 5 = completely agree))]
rating_poor_fitThe project will not fit well into the area. (1 Completely disagree, 2 Somewhat disagree, 3 Neither agree nor disagree, 4 Somewhat agree, 5 Completely agree; 6 Don't know kept as 6) (translated) [rating, 1 (Completely disagree) to 6 (Don't know (coded 6; 1-5 is agreement, 5 = completely agree))]
rating_rent_dropThe project will reduce my rent. (1 Completely disagree, 2 Somewhat disagree, 3 Neither agree nor disagree, 4 Somewhat agree, 5 Completely agree; 6 Don't know kept as 6) (translated) [rating, 1 (Completely disagree) to 6 (Don't know (coded 6; 1-5 is agreement, 5 = completely agree))]
rating_undesirable_residentsThe project will bring people to my area that I don't want here. (1 Completely disagree, 2 Somewhat disagree, 3 Neither agree nor disagree, 4 Somewhat agree, 5 Completely agree; 6 Don't know kept as 6) (translated) [rating, 1 (Completely disagree) to 6 (Don't know (coded 6; 1-5 is agreement, 5 = completely agree))]
rating_unrealisticIt is unrealistic that the municipality will go ahead with such a project. (1 Completely disagree, 2 Somewhat disagree, 3 Neither agree nor disagree, 4 Somewhat agree, 5 Completely agree; 6 Don't know kept as 6) (translated) [rating, 1 (Completely disagree) to 6 (Don't know (coded 6; 1-5 is agreement, 5 = completely agree))]

Columns

attr_distance_to_homeattr_heightattr_project_typeattr_size_sqmcov_age_groupcov_gendercov_homeownercov_ideologycov_survey_weightidprofileratingrating_congestionrating_home_value_droprating_poor_fitrating_rent_droprating_undesirable_residentsrating_unrealistictasktrial_distance_stated_in_texttrial_map_shown

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("larsen_2026_local_preservation", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("larsen_2026_local_preservation", source="conj")

How to cite

@article{Larsen_2026, title={Understanding Nimbyism as Local Preservationism}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/741691}, DOI={10.1086/741691}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Larsen, Martin Vinæs and Nyholt, Niels}, year={2026}, month=Apr }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0