UGA_2015_LTIE-BL_v01_M
Land Titling Impact Evaluation - Baseline Survey 2015
Name | Country code |
---|---|
Uganda | UG |
Agricultural Survey [ag/oth]
This dataset is the first baseline survey for this study, which was collected in 2015.
Sample survey data [ssd]
Households, individuals, agricultural parcels and plots of land.
The data collected was on a range of socio-economic indicators with emphasis on agricultural plots and production.
Household : household members' socio-economic outcomes, household plots and parcels used for agriculture, crops grown and inputs used on these plots and parcels, perceptions and attitudes towards land tenure security, and intrahousehold decision making.
Community : village-level demographics, village-level economic activities and land use, and access to services and amenities.
The baseline survey was administered to 2995 households in 599 communities (5 households per community) in 9 districts across Western and Eastern Uganda.
The survey covered nine districts in Eastern and Western Uganda: Jinja, Kamuli, Luuka, Mayuge, Buhweju, Ibanda, Isingiro, Mbarara and Sheema.
Both head of the household and the spouse of the head of the household were interviewed in this survey.
Name | Affiliation |
---|---|
Markus Goldstein | World Bank |
Michael O'Sullivan | World Bank |
Joao Montalvao | World Bank |
Christopher Udry | Northwestern University |
James Habyarimana | Georgetown University |
Name |
---|
Umbrella Facility for Gender Equality |
Name | Role |
---|---|
Ministry of Land, Housing and Urban Development (MLHUD) | Providing land titling registrations for the impact evaluation |
Innovations for Poverty Action - Uganda | Survey firm that collected the data. |
The sample comprises 2995 households across 599 villages. To construct this sample, the following two steps were followed. First, in 2015 the research team worked with the MLHUD and the Uganda Bureau of Statistics (UBOS) to randomly select 150 parishes in rural Western and Eastern Uganda to participate in the impact evaluation. These parishes were selected from a larger frame of rural parishes eligible for the land titling intervention and fully covered by existing detailed based maps, which will be used during the intervention for the demarcation of lands. Second, up to 9 villages per parish were then randomly selected for the survey sample. Interviewers worked with chairmen and key informants in the community to gather community-level data, and to create a listing of households in the village with information on (i) their marital status, (ii) whether the household head was in a polygamous marriage, and (iii) whether the household owned any land. Five households with husband-wife pairs were randomly sampled from this list (four monogamous and one polygamous households). The condition to be included in the sample was that the household had to own land individually and at least one parcel of land had to be without a certificate of title proving ownership. In each household only one female spouse was initially interviewed; in case of polygamous households the husband chose the wife to be interviewed.
Two survey instruments were designed to capture socioeconomic and agricultural outcomes: a household questionnaire and a community questionnaire.
The household questionnaire collected information on household members' socio-economic outcomes, household plots and parcels used for agriculture, crops grown and inputs used on these plots and parcels, perceptions and attitudes towards land tenure security, and intrahousehold decision making. Both head of the household and the spouse of the head of the household were interviewed in this survey.
The community questionnaire focused on village-level demographics, village-level economic activities and land use, and access to services and amenities. The local leader (chairperson) of the village was interviewed.
Start | End |
---|---|
2015-07 | 2015-09 |
The main mode of data collection was the use of a structured questionnaires. In some cases, there were open ended questions in which the respondent could provide text. In many cases however the respondent was provided with coded answers from which to choose. These questionnaires were administered by enumerators who visited the homes of the participating households at a time convenient for the respondents.
Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigators - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
Michael O'Sullivan | World Bank | mosullivan@worldbank.org |
Joao Montalvao | World Bank | jmontalvao@worldbank.org |
DDI_UGA_2015_LTIE-BL_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
Version 01
June 2022
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