Perceived values and climate change resilience dataset in Siaya County, Kenya

This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus...
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Autor*in:	Pu Yang [verfasserIn] Alycia Leonard [verfasserIn] Micaela Flores Lanza [verfasserIn] Makena Ireri [verfasserIn] Stephanie Hirmer [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa

Übergeordnetes Werk:	In: Data in Brief - Elsevier, 2015, 54(2024), Seite 110317-
Übergeordnetes Werk:	volume:54 ; year:2024 ; pages:110317-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.dib.2024.110317

Katalog-ID:	DOAJ095719776

Internformat


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520			\|a This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values.
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spelling	10.1016/j.dib.2024.110317 doi (DE-627)DOAJ095719776 (DE-599)DOAJ729bc5e239a24276aeb0a382d36a6c95 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Pu Yang verfasserin aut Perceived values and climate change resilience dataset in Siaya County, Kenya 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values. Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa Computer applications to medicine. Medical informatics Science (General) Alycia Leonard verfasserin aut Micaela Flores Lanza verfasserin aut Makena Ireri verfasserin aut Stephanie Hirmer verfasserin aut In Data in Brief Elsevier, 2015 54(2024), Seite 110317- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:54 year:2024 pages:110317- https://doi.org/10.1016/j.dib.2024.110317 kostenfrei https://doaj.org/article/729bc5e239a24276aeb0a382d36a6c95 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340924002865 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 54 2024 110317-
allfields_unstemmed	10.1016/j.dib.2024.110317 doi (DE-627)DOAJ095719776 (DE-599)DOAJ729bc5e239a24276aeb0a382d36a6c95 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Pu Yang verfasserin aut Perceived values and climate change resilience dataset in Siaya County, Kenya 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values. Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa Computer applications to medicine. Medical informatics Science (General) Alycia Leonard verfasserin aut Micaela Flores Lanza verfasserin aut Makena Ireri verfasserin aut Stephanie Hirmer verfasserin aut In Data in Brief Elsevier, 2015 54(2024), Seite 110317- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:54 year:2024 pages:110317- https://doi.org/10.1016/j.dib.2024.110317 kostenfrei https://doaj.org/article/729bc5e239a24276aeb0a382d36a6c95 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340924002865 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 54 2024 110317-
allfieldsGer	10.1016/j.dib.2024.110317 doi (DE-627)DOAJ095719776 (DE-599)DOAJ729bc5e239a24276aeb0a382d36a6c95 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Pu Yang verfasserin aut Perceived values and climate change resilience dataset in Siaya County, Kenya 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values. Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa Computer applications to medicine. Medical informatics Science (General) Alycia Leonard verfasserin aut Micaela Flores Lanza verfasserin aut Makena Ireri verfasserin aut Stephanie Hirmer verfasserin aut In Data in Brief Elsevier, 2015 54(2024), Seite 110317- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:54 year:2024 pages:110317- https://doi.org/10.1016/j.dib.2024.110317 kostenfrei https://doaj.org/article/729bc5e239a24276aeb0a382d36a6c95 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340924002865 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 54 2024 110317-
allfieldsSound	10.1016/j.dib.2024.110317 doi (DE-627)DOAJ095719776 (DE-599)DOAJ729bc5e239a24276aeb0a382d36a6c95 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Pu Yang verfasserin aut Perceived values and climate change resilience dataset in Siaya County, Kenya 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values. Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa Computer applications to medicine. Medical informatics Science (General) Alycia Leonard verfasserin aut Micaela Flores Lanza verfasserin aut Makena Ireri verfasserin aut Stephanie Hirmer verfasserin aut In Data in Brief Elsevier, 2015 54(2024), Seite 110317- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:54 year:2024 pages:110317- https://doi.org/10.1016/j.dib.2024.110317 kostenfrei https://doaj.org/article/729bc5e239a24276aeb0a382d36a6c95 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340924002865 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 54 2024 110317-
language	English
source	In Data in Brief 54(2024), Seite 110317- volume:54 year:2024 pages:110317-
sourceStr	In Data in Brief 54(2024), Seite 110317- volume:54 year:2024 pages:110317-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa Computer applications to medicine. Medical informatics Science (General)
isfreeaccess_bool	true
container_title	Data in Brief
authorswithroles_txt_mv	Pu Yang @@aut@@ Alycia Leonard @@aut@@ Micaela Flores Lanza @@aut@@ Makena Ireri @@aut@@ Stephanie Hirmer @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	797838937
id	DOAJ095719776
language_de	englisch
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callnumber-first	R - Medicine
author	Pu Yang
spellingShingle	Pu Yang misc R858-859.7 misc Q1-390 misc Needs assessment misc Value data misc User perceived value misc Beneficiaries misc Developing countries misc Sub-Saharan Africa misc Computer applications to medicine. Medical informatics misc Science (General) Perceived values and climate change resilience dataset in Siaya County, Kenya
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topic_title	R858-859.7 Q1-390 Perceived values and climate change resilience dataset in Siaya County, Kenya Needs assessment Value data User perceived value Beneficiaries Developing countries Sub-Saharan Africa
topic	misc R858-859.7 misc Q1-390 misc Needs assessment misc Value data misc User perceived value misc Beneficiaries misc Developing countries misc Sub-Saharan Africa misc Computer applications to medicine. Medical informatics misc Science (General)
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title	Perceived values and climate change resilience dataset in Siaya County, Kenya
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title_full	Perceived values and climate change resilience dataset in Siaya County, Kenya
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author_browse	Pu Yang Alycia Leonard Micaela Flores Lanza Makena Ireri Stephanie Hirmer
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title_sort	perceived values and climate change resilience dataset in siaya county, kenya
callnumber	R858-859.7
title_auth	Perceived values and climate change resilience dataset in Siaya County, Kenya
abstract	This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values.
abstractGer	This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values.
abstract_unstemmed	This dataset presents perceived values and socioeconomic indicators collected in Siaya, a rural county in Kenya in 2022. The data was obtained from 300 household surveys and group interviews conducted in six sub-counties across eleven villages. Socioeconomic data were collected with a special focus on climate change vulnerability. Information on housing, health, water accessibility and usage, electricity accessibility and usage, extreme weather events, community service, and information accessibility were mapped across survey questions. The user-perceived value (UPV) game – a perception-based surveying approach – was used to elicit local communities’ needs and perceptions of climate change challenges. The UPV game involves asking interviewees to select which graphically depicted items would be most necessary in different situations and probing them for the reasons behind their choices (why-probing). The data was collected in two languages (Dholuo and English) and then translated into English. These surveys and interviews were conducted to better understand the needs of rural Kenyan communities and their perceptions of climate change, with the aim to identify ways to build resilience. Kenyan policymakers can use the dataset to inform county-level energy and development plans, while researchers and development practitioners can use the dataset to better design their research and programmes to reflect local needs and values.
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title_short	Perceived values and climate change resilience dataset in Siaya County, Kenya
url	https://doi.org/10.1016/j.dib.2024.110317 https://doaj.org/article/729bc5e239a24276aeb0a382d36a6c95 http://www.sciencedirect.com/science/article/pii/S2352340924002865 https://doaj.org/toc/2352-3409
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Perceived values and climate change resilience dataset in Siaya County, Kenya

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