This dataset records the quantities of specific foods consumed in the household that were purchased during the 7 days before the survey from the first interim assessment of Feed the Future's population-based indicaors for the ZOI in Cambodia. It has 1019 rows and 594 columns. The ZOI is the Pursat, Battambang, Kampong Thom, and Siem Reap Provinces. The sampling design called for a two-stage cluster sample. In the first stage, 84 villages were selected; in the second stage, households were selected within each sampled village. The sampling of villages was stratified by province, with the number of villages in each stratum proportional to the population in the stratum and with villages selected with probability proportional to size, based on the 2013 Commune Database. The data is split into survey modules. Modules A through C includes location information, informed consent, and the household roster. Module D includes household characteristics. Module E is the expenditures module broken up into 8 different parts. Modules F and G include the hunger scale data and WEIA index data. Data in modules H and I include mother and child dietary diversity. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.

This dataset contains data from sub-Module E3: Non-Food Expenditures over Past One Month. It ias part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. Each household with data for non-food expenditures over the past month has multiple records (for the 26 non-food items in sub-Module E3). (26,546 records ÷ 26 non-food items = 10,210 Module E households with sub-Module E3 data.) The unique identifiers in this long file are pbs_id + e301.

This dataset contains data from sub-Module E4: Non-Food Expenditures over Past Three Months. It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. Each household with data for non-food expenditures over the past three months has multiple records (for the 39 non-food items in sub-Module E4). (39,819 records ÷ 39 non-food items = 1,021 Module E households with sub-Module E4 data.) The unique identifiers in this long file are pbs_id + e401.

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=53,070, vars=17) contains data from sub-Module E3: Non-Food Expenditures Over Past One Month. Each household with data for non-food expenditures over the past month has multiple records (for the 29 non-food items in sub-Module E3). (53,070 records divided by 29 non-food items = 1,830 Module E households with sub-Module E3 data.)

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=69,540, vars=17) contains data from sub-Module E4: Non-Food Expenditures Over Past Three Months. Each household with data for non-food expenditures over the past three months has multiple records (for the 38 non-food items in sub-Module E4). (69,540 records divided by 38 non-food items = 1,830 Module E households with sub-Module E4 data.)

This dataset contains data from sub-Module E7: Durable Goods Expenditures. It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. Each household with data for durable goods expenditures has multiple records (for the 31 durable goods in sub-Module E7). (31,651 records ÷ 31 non-food items = 1,021 Module E households with sub-Module E7 data.) The unique identifiers in this long file are pbs_id + e701.

Helping Address Rural Vulnerabilities and Ecosystem Stability (Cambodia-HARVEST) was a five-year program (2011-2016) supported under the Global Hunger and Food Security Initiative (GHFSI) and the Global Climate Change (GCC) and Biodiversity program. Cambodia-HARVEST set strategic goals to improve food security, strengthen natural resource management and resilience to climate change, and increase the capacity of the public and private sectors and civil society to support agricultural competitiveness. Implemented in four targeted provinces of Cambodia -- Kampong Thom, Siem Reap, Pursat, and Battambang -- Cambodia-HARVEST had five major components: Agribusiness Value Chains; Aquaculture and Fisheries; Natural Resource Management; Biodiversity, and Climate Change, Social Inclusion, Business Development Services; and Capacity Development. Cambodia-Harvest worked with local partners and government to initiate policy reforms and eliminate obstacles to development. This data asset enables the evaluation of the program. It is comprised of a baseline, endline and community level survey: this is the community survey.

This dataset contains variables from Module E, the Household Consumption Expenditures module used to calculate the poverty and expenditure indicators. It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. This dataset includes household-level derived variables (including the expenditure and poverty indicator variables), as well as variables from sub-Module E6: Housing Expenditures. The unique identifier in this household-level file is pbs_id.

This dataset (n=4,154, vars=14) contains data from sub-Module E4: Non-Food Expenditures Over Past Three Months. Each household with data for non-food expenditures over the past three months has multiple records (for the 38 non-food items in sub-Module E4). The unique identifiers in this long file are pbs_id + e401.

Feed the Future Rwanda Interim Survey in the Zone of Influence: This dataset (n=17,964, vars=112) is the second of two datasets needed to calculate the WEAI-related measures. It includes the 24-hour time allocation data from Module G6, the time use module, and thus each respondent on Module G has multiple records, one for each of the 18 time use activities (998 respondents x 18 activities = 17,964 records.)