Baseline Survey Data on Crop Insurance Uptake and Agricultural Practices Among Smallholder Farming Households in Kenya. (doi:10.7910/DVN/0IT62J)

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Baseline Survey Data on Crop Insurance Uptake and Agricultural Practices Among Smallholder Farming Households in Kenya.

doi:10.7910/DVN/0IT62J

Harvard Dataverse

2024-12-21

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Wanjau, Agnes Njambi; Ageyo, Collins Odhiambo; Otieno, Felix Owino; Mwungu, Chris Miyinzi; Ghosh, Aniruddha, 2024, "Baseline Survey Data on Crop Insurance Uptake and Agricultural Practices Among Smallholder Farming Households in Kenya.", https://doi.org/10.7910/DVN/0IT62J, Harvard Dataverse, V1, UNF:6:APer95TBzc4nZR02BaVgMA== [fileUNF]

Baseline Survey Data on Crop Insurance Uptake and Agricultural Practices Among Smallholder Farming Households in Kenya.

doi:10.7910/DVN/0IT62J

Wanjau, Agnes Njambi (International Center for Tropical Agriculture - CIAT)

Ageyo, Collins Odhiambo (International Center for Tropical Agriculture - CIAT)

Otieno, Felix Owino (International Center for Tropical Agriculture - CIAT)

Mwungu, Chris Miyinzi (International Center for Tropical Agriculture - CIAT)

Ghosh, Aniruddha (International Center for Tropical Agriculture - CIAT)

International Center for Tropical Agriculture

Harvard Dataverse

International Center for Tropical Agriculture

Alliance Data Management

Alliance Data Management

2024-12-16

https://doi.org/10.7910/DVN/0IT62J

Agricultural Sciences, Earth and Environmental Sciences, crop insurance, climate-smart agriculture, crop production, climate services, livestock production, Africa, Climate Action, Performance, Innovation and Strategic Analysis for Impact

crop insurance, climate-smart agriculture, crop production, climate services, livestock production

This household survey was conducted among smallholder farmers in five Kenyan counties in May 2023. The project aimed to assess current crop insurance practices and willingness to adopt crop insurance solutions, such as satellite-based Soil Moisture Index and Picture-Based Insurance (PBI). Other topics covered included household and farm characteristics, poverty, agricultural and livestock production, and food security. The five counties covered by the project included Bungoma, Busia, Makueni, Embu, and Uasin Gishu. As part of the anonymization process, household identity variables such as phone numbers, GPS coordinates, individual names, and village names were removed and stored securely to ensure participants' confidentiality.

Kenya

Qualitative Data

Quantitative Data

Survey Data

Socio-economic Data

<p>The Alliance of Bioversity International and CIAT (hereinafter "the Alliance"), its partners, and the data authors have exercised utmost care in collecting and compiling the data. However, the data is provided "as is" without any express or implied warranty. Neither the Alliance, its partners, the data authors, nor any relevant funding agencies shall be held liable for any actual, incidental, or consequential damages arising from the use of this data.</p> <p>By utilizing the Alliance Dataverse, users explicitly acknowledge that the data may contain nonconformities, defects, or errors. No warranty is provided that the data will meet users' needs or expectations, nor that all nonconformities, defects, or errors can or will be corrected.</p> <p>Users are responsible for verifying the accuracy and suitability of the data for their intended use. It is strongly recommended that users refer to related publications as a baseline for their analysis whenever possible. This practice serves as an additional safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the respective Dataverse study.</p>

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