BIHS 2018-2019 is the third round of the Bangladesh Integrated Household Survey (BIHS). BIHS is the only nationally representative survey in Bangladesh that collects detailed data on (1) plot-level agricultural production and practices, (2) dietary intake of individual household members, (3) anthropometric measurements (height and weight) of all household members, and (4) data to measure women’s empowerment in agriculture index (WEAI). A community survey supplements the BIHS data to provide information on area-specific contextual factors. The BIHS covers 5604 households in 325 primary sampling units. The sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; and (b) representative of rural areas of each of the seven administrative divisions of the country: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet. The first round of BIHSwas published in 2013 and the second round of BIHSwas published in 2016. These surveys can be accessed from here
Intergenerational Nutrition Benefits of India’s National School Feeding Program
Reproducibility, the ability to obtain consistent results using the same data and code as the original study, is a cornerstone of scientific research. The dataset and codes to reproduce the results and analysis in a recently published article "Intergenerational Nutrition Benefits of India's National School Feeding Program" by Chakrabarti et al. in Nature Communications are openly accessible from IFPRI Dataverse.
AReNA’s DHS-GIS Database
Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. AReNA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data). This dataset includes 60 countries, 184 demographic health surveys (DHS) surveys, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS surveys. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime.
This data is openly accessible from here.
Informal Food Retail Trade in Ghanaian Cities
This data is from a study conducted on informal food retail in three of Ghana’s cities – Accra, Kumasi and Tamale. The aim of the survey is to gather information on the livelihoods of these traders, the challenges they face, and the governance constraints they encounter, especially those selling different types of food products. Interviews with 1,214 informal food vendors – 474 in Accra, 516 in Kumasi, and 310 in Tamale – across 4-7 markets in each city, allow for a better understanding of the role of informal food vendors as a key component of agricultural transformation and food security, while also examining how their treatment by government officials affects their own food security and their ability to facilitate agricultural transformation. The survey is split into 11 survey modules:
- Sampling (SA) – preliminary characteristics of the informal food trader
- General Information (ID) – basic demographic, educational and household background information
- Employment (EM) – details on current job
- Business (BS) – information on business management and the associated fees paid to operate
- Taxes and Fees (TX) – range of fees and taxes paid and the benefits received from those payments
- Government Engagement (GE) – type and level of interaction between government officials and food traders
- Food Safety and Food Security (FS) – awareness of food safety and source of personal food
- Service Delivery and Accountability (SD) – services offered in the market and who could best deliver them
- Public Participation and Associational Membership (PP) – involvement in different associations and participation in public and community affairs
- Household Welfare (HW) – details on household assets and services
- Final (FI) – enumerator observations
This survey data is openly accessible from here.
Papua New Guinea Household Survey on Food Systems
The Papua New Guinea (PNG) Household Survey on Food Systems is a multi-topic survey designed to investigate the food systems of rural households in four lowland areas of PNG and how they assure sufficient food to meet the nutritional needs of their household members.
The survey was implemented in East Sepik (Maprik), Sandaun / West Sepik (Nuku), and Madang (Middle Ramu) provinces (districts) and the Autonomous Region of Bougainville (ARoB - Buin and Siwai areas of Southern Bougainville). A total of 1,026 households were surveyed. The survey set out to achieve two goals: 1) use the household survey results to inform agricultural productivity, enhanced food security, child nutrition outcomes; and 2) collect baseline data for recently development programs supported by World Vision (WV). The rural household survey includes modules on:
- 1. Household characteristics (demographics, education, migration, etc.)
- 2. Agricultural production (crop production, use of household labor, etc.)
- 3. Household assets (production equipment and consumer durables, livestock ownership, and housing quality)
- 4. Income apart from own agricultural activities (wage employment, own business activities, and income transfers and gifts)
- 5. Consumption and expenditures (nonfood expenditures, food consumption, and dietary diversity)
- 6. Economic shocks and food insecurity (perceptions of poverty, recent food insecurity, and health and nutrition extension)
- 7. Gender roles and social expectations (asked separately for men and women)
- 8. Female health (pregnancy care and breastfeeding practices)
- 9. Child health (healthcare, vaccinations, and anthropometry)
This survey data is openly accessible from here.