The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries
The Rural Household Multiple Indicator Survey (RHoMIS) is a standardized farm household survey approach which collects information on 758 variables covering household demographics, farm area, crops grown and their production, livestock holdings and their production, agricultural product use and variables underlying standard socio-economic and food security indicators such as the Probability of Poverty Index, the Household Food Insecurity Access Scale, and household dietary diversity. These variables are used to quantify more than 40 different indicators on farm and household characteristics, welfare, productivity, and economic performance. Between 2015 and the beginning of 2018, the survey instrument was applied in 21 countries in Central America, sub-Saharan Africa and Asia. The data presented here include the raw survey response data, the indicator calculation code, and the resulting indicator values. These data can be used to quantify on- and off-farm pathways to food security, diverse diets, and changes in poverty for rural smallholder farm households.
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Nature Research
2020
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Subjects: | HOUSEHOLD SURVEYS, DATA, SOCIOECONOMIC ENVIRONMENT, AGRICULTURE, FOOD SECURITY, |
Online Access: | https://hdl.handle.net/10883/20804 |
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dig-cimmyt-10883-208042021-03-24T21:18:22Z The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries Wijk, M.T. van Hammond, J. Gorman, L. Adams, S. Ayantunde, A. Baines, D. Bolliger, A. Bosire, C. Carpena, P. Chesterman, S. Chinyophiro, A. Daudi, H. Dontsop, P. Douxchamps, S. Emera, W.D. Fraval, S. Fonte, S.J. Hok, L. Kiara, H. Kihoro, E. Korir, L. Lamanna, C. Chau Thi Minh Long Manyawu, G. Mehrabi, Z. Mengistu, D.K. Mercado, L. Meza, K. Mora, V. Mutemi, J. Ng’endo, M. Njingulula, P. Okafor, C. Pagella, T. Phengsavanh, P. Rao, J. Ritzema, R.S. Rosenstock, T. Skirrow, T. Steinke, J. Stirling, C. Suchini, J.G. Teufel, N. Thorne, P. Vanek, S. Etten, J. van Vanlauwe, B. Wichern, J. Yameogo, V. HOUSEHOLD SURVEYS DATA SOCIOECONOMIC ENVIRONMENT AGRICULTURE FOOD SECURITY The Rural Household Multiple Indicator Survey (RHoMIS) is a standardized farm household survey approach which collects information on 758 variables covering household demographics, farm area, crops grown and their production, livestock holdings and their production, agricultural product use and variables underlying standard socio-economic and food security indicators such as the Probability of Poverty Index, the Household Food Insecurity Access Scale, and household dietary diversity. These variables are used to quantify more than 40 different indicators on farm and household characteristics, welfare, productivity, and economic performance. Between 2015 and the beginning of 2018, the survey instrument was applied in 21 countries in Central America, sub-Saharan Africa and Asia. The data presented here include the raw survey response data, the indicator calculation code, and the resulting indicator values. These data can be used to quantify on- and off-farm pathways to food security, diverse diets, and changes in poverty for rural smallholder farm households. 2020-03-21T01:25:16Z 2020-03-21T01:25:16Z 2020 Article 2052-4463 (Print) https://hdl.handle.net/10883/20804 10.1038/s41597-020-0388-8 English https://www.nature.com/articles/s41597-020-0388-8/tables/3 https://doi.org/10.7910/DVN/9M6EHS https://doi.org/10.6084/m9.figshare.11637786 CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF CENTRAL AMERICA AFRICA SOUTH OF SAHARA ASIA United Kingdom Nature Research 1 art. 46 7 Scientific Data |
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HOUSEHOLD SURVEYS DATA SOCIOECONOMIC ENVIRONMENT AGRICULTURE FOOD SECURITY HOUSEHOLD SURVEYS DATA SOCIOECONOMIC ENVIRONMENT AGRICULTURE FOOD SECURITY |
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HOUSEHOLD SURVEYS DATA SOCIOECONOMIC ENVIRONMENT AGRICULTURE FOOD SECURITY HOUSEHOLD SURVEYS DATA SOCIOECONOMIC ENVIRONMENT AGRICULTURE FOOD SECURITY Wijk, M.T. van Hammond, J. Gorman, L. Adams, S. Ayantunde, A. Baines, D. Bolliger, A. Bosire, C. Carpena, P. Chesterman, S. Chinyophiro, A. Daudi, H. Dontsop, P. Douxchamps, S. Emera, W.D. Fraval, S. Fonte, S.J. Hok, L. Kiara, H. Kihoro, E. Korir, L. Lamanna, C. Chau Thi Minh Long Manyawu, G. Mehrabi, Z. Mengistu, D.K. Mercado, L. Meza, K. Mora, V. Mutemi, J. Ng’endo, M. Njingulula, P. Okafor, C. Pagella, T. Phengsavanh, P. Rao, J. Ritzema, R.S. Rosenstock, T. Skirrow, T. Steinke, J. Stirling, C. Suchini, J.G. Teufel, N. Thorne, P. Vanek, S. Etten, J. van Vanlauwe, B. Wichern, J. Yameogo, V. The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries |
description |
The Rural Household Multiple Indicator Survey (RHoMIS) is a standardized farm household survey approach which collects information on 758 variables covering household demographics, farm area, crops grown and their production, livestock holdings and their production, agricultural product use and variables underlying standard socio-economic and food security indicators such as the Probability of Poverty Index, the Household Food Insecurity Access Scale, and household dietary diversity. These variables are used to quantify more than 40 different indicators on farm and household characteristics, welfare, productivity, and economic performance. Between 2015 and the beginning of 2018, the survey instrument was applied in 21 countries in Central America, sub-Saharan Africa and Asia. The data presented here include the raw survey response data, the indicator calculation code, and the resulting indicator values. These data can be used to quantify on- and off-farm pathways to food security, diverse diets, and changes in poverty for rural smallholder farm households. |
format |
Article |
topic_facet |
HOUSEHOLD SURVEYS DATA SOCIOECONOMIC ENVIRONMENT AGRICULTURE FOOD SECURITY |
author |
Wijk, M.T. van Hammond, J. Gorman, L. Adams, S. Ayantunde, A. Baines, D. Bolliger, A. Bosire, C. Carpena, P. Chesterman, S. Chinyophiro, A. Daudi, H. Dontsop, P. Douxchamps, S. Emera, W.D. Fraval, S. Fonte, S.J. Hok, L. Kiara, H. Kihoro, E. Korir, L. Lamanna, C. Chau Thi Minh Long Manyawu, G. Mehrabi, Z. Mengistu, D.K. Mercado, L. Meza, K. Mora, V. Mutemi, J. Ng’endo, M. Njingulula, P. Okafor, C. Pagella, T. Phengsavanh, P. Rao, J. Ritzema, R.S. Rosenstock, T. Skirrow, T. Steinke, J. Stirling, C. Suchini, J.G. Teufel, N. Thorne, P. Vanek, S. Etten, J. van Vanlauwe, B. Wichern, J. Yameogo, V. |
author_facet |
Wijk, M.T. van Hammond, J. Gorman, L. Adams, S. Ayantunde, A. Baines, D. Bolliger, A. Bosire, C. Carpena, P. Chesterman, S. Chinyophiro, A. Daudi, H. Dontsop, P. Douxchamps, S. Emera, W.D. Fraval, S. Fonte, S.J. Hok, L. Kiara, H. Kihoro, E. Korir, L. Lamanna, C. Chau Thi Minh Long Manyawu, G. Mehrabi, Z. Mengistu, D.K. Mercado, L. Meza, K. Mora, V. Mutemi, J. Ng’endo, M. Njingulula, P. Okafor, C. Pagella, T. Phengsavanh, P. Rao, J. Ritzema, R.S. Rosenstock, T. Skirrow, T. Steinke, J. Stirling, C. Suchini, J.G. Teufel, N. Thorne, P. Vanek, S. Etten, J. van Vanlauwe, B. Wichern, J. Yameogo, V. |
author_sort |
Wijk, M.T. van |
title |
The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries |
title_short |
The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries |
title_full |
The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries |
title_fullStr |
The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries |
title_full_unstemmed |
The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries |
title_sort |
rural household multiple indicator survey, data from 13,310 farm households in 21 countries |
publisher |
Nature Research |
publishDate |
2020 |
url |
https://hdl.handle.net/10883/20804 |
work_keys_str_mv |
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