<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Classifying climate vulnerability and inequalities in India, Mexico, and Nigeria: A Latent Class Analysis Approach</titl><IDNo agency="DOI">doi:10.7910/DVN/MEAX8I</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2023-11-08</distDate></distStmt><verStmt source="archive"><version date="2023-11-08" type="RELEASED">1</version></verStmt><biblCit>Pinchoff, Jessie, 2023, "Classifying climate vulnerability and inequalities in India, Mexico, and Nigeria: A Latent Class Analysis Approach", https://doi.org/10.7910/DVN/MEAX8I, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Classifying climate vulnerability and inequalities in India, Mexico, and Nigeria: A Latent Class Analysis Approach</titl><IDNo agency="DOI">doi:10.7910/DVN/MEAX8I</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Population Council">Pinchoff, Jessie</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="Population Council" email="jpinchoff@popcouncil.org">Pinchoff, Jessie</contact><depositr>Warn, Debra</depositr><depDate>2023-11-03</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/MEAX8I"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>India</keyword><keyword>Mexico</keyword><keyword>Nigeria</keyword><keyword>climate change</keyword><keyword>climate adaptation</keyword><keyword>vulnerability</keyword></subject><abstract date="2023-11-03">The Population, Environmental Risks and the Climate Crisis (PERCC) initiative conducted a mobile phone survey in regions of India, Mexico and Nigeria to explore how climate change is affecting people's lives and livelihoods. The survey was conducted using GeoPoll.</abstract><sumDscr><collDate cycle="P1" event="end" date="2022-06-30">2022-06-30</collDate><nation>India</nation><nation>Mexico</nation><nation>Nigeria</nation><anlyUnit>Individual</anlyUnit><dataKind>Quantitative</dataKind></sumDscr></stdyInfo><method><dataColl><sampProc>Random Digit Dialing on mobile phones using computer assisted telephone interviewing (CATI) approach.</sampProc><resInstru>Survey</resInstru><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f7522267" URI="https://dataverse.harvard.edu/api/access/datafile/7522267" level="datafile"><labl>GeoPoll_Population Council_India_Dataverse.xlsx</labl><txt>Excel file includes questionnaire, dataset, and summary information.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f7522271" URI="https://dataverse.harvard.edu/api/access/datafile/7522271" level="datafile"><labl>GeoPoll_Population Council_Mexico_Dataverse_final.xlsx</labl><txt>Excel file includes questionnaire, dataset, and summary information.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f7522269" URI="https://dataverse.harvard.edu/api/access/datafile/7522269" level="datafile"><labl>GeoPoll_Population Council_Nigeria_Dataverse.xlsx</labl><txt>Excel file includes questionnaire, dataset, and summary information.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f7522365" URI="https://dataverse.harvard.edu/api/access/datafile/7522365" level="datafile"><labl>readMe.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>