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 three in the Feed The Future Interim Population-Based Assessment of Cambodia, Modules H-I, Anthropometry and Food Consumed by Children.

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 third spreadsheet of three in the Feed The Future Interim Population-Based Assessment of Cambodia, Module E1-07, Quantity of Food Consumed that Came from Other Sources.

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 three in the Feed The Future Interim Population-Based Assessment of Cambodia, Module E1-07, Quantity of Food Consumed that Came from Other Sources.

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 third spreadsheet of three in the Feed The Future Interim Population-Based Assessment of Cambodia, Module E1-06, Quantity of Food Consumed Produced at Home During the Last Week.

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 three in the Feed The Future Interim Population-Based Assessment of Cambodia, Module E1-06, Quantity of Food Consumed Produced at Home During the Last Week.

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 E1-03, Quantities of Foods Consumed During the Last Week.

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 E1-04, Quantities of Foods Purchased During the Last Week.

This dataset records the anthropometry of the mothers and children as well as the food consumed by the children from the first interim assessment of Feed the Future's population-based indicaors for the ZOI in Cambodia. It has 1,019 rows and 866 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 third 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.