UGA_2016_CNAPL_v01_M
Community Lighting in Northern Uganda’s Rhino Camp Refugee Settlement Survey 2016
Name | Country code |
---|---|
Uganda | UGA |
Other Household Survey [hh/oth]
Sample survey data [ssd]
Individuals
Edited, anonymous dataset for licensed distribution.
2017
The scope of the survey includes:
Topic |
---|
Community Services |
Environment |
Gender Based Violence |
Shelter/Other Infrastructure |
Housing, Land and Property |
Access to Energy |
Settlement |
Rhino Camp, Uganda
Four of Rhino Camp’s 14 villages: two unlit (Katiku and Siripi) and two lit (Ocea and Odobu).
Name | Affiliation |
---|---|
UN Refugee Agency (UNHCR) | UN |
The Office of the Prime Minister (OPM) provided UNHCR a numbered list of the names of all heads of household in each village. To ensure a representative sample among these four villages, 15% of households across all villages was selected using a random number generator. The UNHCR research team conducted interviews in 171 households. (38% of selected households were not able to be found due to outdated registry lists, and 1% did not consent.) Among the 171 randomly selected households, researchers conducted 267 individual interviews: 86% of respondents were female and 39% were adolescents.
Start | End |
---|---|
2016-08-17 | 2016-09-06 |
Name | Affiliation |
---|---|
UN Refugee Agency | UN |
A locally-recruited data entry clerk input survey data in to a database using CSPro software. Statisticians cleaned the data, exported it to spreadsheets and organized it into tables, using SAS and R data analysis software. The tables displayed frequency and percentage values for responses to each survey question, and statisticians created additional tables to disaggregate data by gender, village and age. Using Google Earth software and GPS data, the UNHCR research team created a map that calculated the distance of each respondent’s home to each light in their village. Two epidemiologists supporting the assessment used the statistical program R to conduct hypothesis tests8 to determine if people living closer to lights are more likely, compared to those living farther, to 1) walk to lit areas at night and 2) feel safe at night. The lead researcher returned to Rhino Camp in November 2016 to present preliminary data to four groups of six to ten refugees who reside in the four surveyed villages. During these sessions, members of the research team showed participants the survey and explained the purpose of the research. The team also presented and described tables of survey data on the locations where respondents were most and least afraid at night.
Name | Affiliation | |
---|---|---|
Data Curation Team | UNHCR | microdata@unhcr.org |
DDI_UGA_2016_CNAPL_v01_M
Name | Affiliation | Role |
---|---|---|
UN Refugee Agency | UN | Metadata producer |
Development Economics Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2022-11-30
Version 01 (November 2022): This metadata was downloaded from the UNHCR catalog (https://microdata.unhcr.org/index.php/home) and it is identical to UNHCR version (UNHCR_UGA_2016_PublicLightning_v2.1). The following two metadata fields were edited - Document ID and Survey ID.
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