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 sixin the Guatemala Maternal health and Sanitation Data.

Data on child health in Segamil and Paisano in Guatemala

본 데이터는 2025년 기준 고창군 읍·면별 영양플러스사업 수혜인원 현황을 집계한 자료로, 각 행정구역별 영양플러스사업 수혜 규모를 파악할 수 있도록 제공됩니다. 데이터는 읍·면 단위로 영양플러스사업에 참여하는 수혜 인원 수를 기준으로 구성되어 있으며, 지역별 영양지원 수요 분석 및 모자보건 정책 수립을 위한 기초자료로 활용할 수 있습니다.데이터 구성은 연번, 행정동, 영양플러스사업 수혜인원 항목으로 이루어져 있으며, 행정구역별 수혜 인원 현황을 확인할 수 있습니다. 해당 자료는 보건사업 수행 과정에서 집계된 행정자료를 기반으로 작성되었습니다.본 데이터는 지역별 영양취약계층 분포를 공시적으로 분석하거나, 특정 지역의 영양지원 수요 변화를 파악하는 데 활용할 수 있습니다. 또한 공공데이터를 활용하여 다음과 같은 분석 및 연구에 활용이 가능합니다.단순 예시 사례이니 참고 바랍니다.○ 지역별 분포 분석: 읍·면별 영양플러스사업 수혜인원 현황을 통해 지역 간 영양지원 수요 차이를 파악하고 정책 수립에 활용할 수 있습니다.○ 수혜 대상자 규모 파악: 영양플러스사업 참여 인원 규모를 분석하여 향후 지원 계획 수립에 활용할 수 있습니다.○ 취약계층 영양지원 분석: 임산부 및 영유아 등 대상자 분포를 기반으로 영양지원 사각지대 해소를 위한 기초자료로 활용할 수 있습니다.

This dataset describes the agricultural practices of households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in in Segamil and Paisano in Guatemala. It has 15 columns and 5,548 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Guatemala. The main purpose of the Title II program is to improve long-term food security of chronically food insecure populations in the target regions. FFP contracted a firm, ICF International, to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. The results were also used to further refine program targeting and, where possible, to improve the understanding of the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later. The data asset is comprised of six datasets: Agricultural Practices, Child Health, Household Description, Maternal Health and Household Sanitation, Food Consumption and the sample weights to be applied during analysis. 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 fourin the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Asset Value and Consumption.

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 fourin the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Asset Value and Consumption.