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Maasai Household and Village Socioeconomic Status and Decisions in Ngorongoro - Maasai women and men survey, and village-level information
Creator
Albers, Heidi J (School of Business, Economics department, University of Wyoming)
Study number / PID
2022-170-1-1 (SND)
MS-394 (gu.se)
https://doi.org/10.5878/1vww-vc77 (DOI)
Data access
Restricted
Series
Not available
Abstract
The UNESCO World Heritage Site Ngorongoro Conservation Area (NCA) in Tanzania is a well-known example of the challenges of managing a conservation area for multiple goals including meeting the needs of residents within the conservation area. NCA seeks to achieve multiple goals including protecting biodiversity, providing tourism opportunities, improving resident Maasai livelihoods, and conserving Maasai culture. Within and beyond the NCA, most analysis and projects focus on Maasai men, who are cattle herders and heads of multi-household families. This dataset describe livelihoods and well-being, as affected by the protected area, from the perspective of the Maasai women. Recognizing that well-being (and poverty) is multi-dimensional, the original study examines how different factors correlate with self-reported life satisfaction and we apply the framework of the UN Sustainable Development Goals (SDGs). For each of the SDGs, we reported the available evidence from documentation and from surveys of village leaders, female heads of household, and a small supplementary sample of male heads of polygamous families. We administered the surveys in all 23 Maasai villages in the NCA. The survey results confirm that poverty is widespread, but with substantial variation in the depth of poverty and in access to essentials including water, food, and fuel. Reported life satisfaction of Maasai women is correlated with food security, clothing quality, and access to market and social services, but not with family ownership of cattle, which is the most commonly used metric of Maasai wealth. Our findings suggest potential improvement in NCA programs and provide a baseline to analyze the effects of any such changes in those programs, from the perspective of Maasai women.
NCA_TZ_WomenVillage_Dataset: Contains the data collected through the survey applied to women and also the information obtained with the village assessment.
NCA_TZ_MenSurvey_Dataset: Contains the data collected...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
20/07/2018 - 28/07/2018
Country
Tanzania
Time dimension
Cross-section
Analysis unit
Household
Individual
Universe
Maasai households living in the Ngorongoro Conservation Area
Sampling procedure
Village Assessment. A portion of the research team, the “village assessment” team, conducted semi-structured interviews and data collection in a specific village on the first of a two-day survey approach. This team met with the village head, members of the village council as available, a woman, a Maasai youth when available, and representatives from the health and school facilities to gain village-specific information. The village assessment included obtaining the list of households eligible for subsidized grain. The team then used that list as a sampling frame to generate a systematic random sample stratified by sub-village to select survey respondents. With a target of 20 interviews per village, the number of households surveyed per sub-village was determined based on the proportion of village households in each sub-village based on the number of households on the grain distribution list. To select households from the grain list, we divided the total number of subvillage households by the number of households to be surveyed and rounded down to get a new number, X. Each village leader was asked to select a random number, Y, between 1 and X. The team then selected the Yth household as a starting point on the list and sampled every Xth household from there until the end of the list was reached.
In the above case, the village leader was asked to pick a number between 1 and 43 for Sub-village A and between 1 and 45 for Sub-village B.
After the selection of households, we consulted with the village leader whether each woman on the list was expected to be home on the following day. If the woman was known to be traveling (e.g. at a regional market), we then asked about the ID-1 (ID number minus 1) household. If that person was not home, we then asked about the ID+1 household, then ID-2, and then ID+2 households. Both ID numbers and names were recorded for every person to be interviewed. Additionally, of all the women sampled in a village, a subset of 3-4 husbands of these women was then chosen to answer a men’s survey. The aim of the men’s survey was to serve as a comparison to the women’s survey. The village assessment team provided the enumeration team with the households to be surveyed and the information collected in the village assessment in the evening following the assessment and prior to the survey administration.
Survey administration. On the second day of data collection in each particular village, the team of enumerators divided the list of survey respondents among the enumerators. The protocol stated that if the enumerator arrived at someone's house and found no one home, they went to the nearest neighbor and interviewed them instead. If this person happened to be a co-wife of the original person that was supposed to be interviewed, that information was recorded in the survey.
Mixed probability and non-probability
Kind of data
Not available
Data collection mode
The data were collected through ODK Collect on Samsung tablets. The data were downloaded from the server, de-identified as per our IRB approved protocol, and shared on a restricted-access Google Team Drive.
Face-to-face interview
Funding information
Funder
Sida (The Swedish International Development Cooperation Agency)
Grant number
MS-394
Access
Publisher
Swedish National Data Service
Publication year
2023
Terms of data access
Access to data through SND. Access to data is restricted.