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 is the second spreadsheet of two in the Feed The Future Interim Population-Based Assessment of Cambodia-Module E2, Non-food Expenditures Over Past 7 Days.

This dataset records the amount of food consumed by the household that came from gifts or other sources 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 768 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.

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 is the second spreadsheet of five in the Feed The Future Interim Population-Based Assessment of Cambodia, Modules F-G, Hunger Scale and Women's Empowerment.

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 is the fourth spreadsheet of five in the Feed The Future Interim Population-Based Assessment of Cambodia, Modules F-G, Hunger Scale and Women's Empowerment.

This dataset captures information about food shared with others 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 14 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.

This dataset captures the non-food expenditures over the past 7 days for each household surveyed during the first interim assessment of Feed the Future’s population-based indicators for the ZOI in Cambodia. It has 1019 rows and 579 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 the data describing the households interviewed for the first interim survey for monitoring progress made by the Feed the Future (FTF) program in Nepal. The file contains one record per household including data from Modules A, D, and F. This dataset is associated with the data asset for the first interim survey for monitoring progress made by the Feed the Future (FTF) program in Nepal. The data asset is comprised of 7 datasets: households, household members, women, children and the three daatsets needed to calculate the women’s empowerment in agriculture index.

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 endline survey.

Feed the Future Nepal Interim Survey in the Zone of Influence: This dataset (n=800, var=163) is the first of two datasets needed to calculate the WEAI-related measures. It is a household-level file and contains the records for Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).