Rwanda - Comprehensive Food Security and Vulnerability Analysis 2021
Reference ID | RWA-NISR-CFSVA-2021-v01 |
Year | 2021 |
Country | Rwanda |
Producer(s) | National Institute of Statistics of Rwanda (NISR) - Ministry of Finance and Economic Planning (MINECOFIN) |
Sponsor(s) | Government of Rwanda - GoR - Funding European Union - EU - Funding USAID - USAID - Funding UNICEF - UNICEF - Funding WFP - WFP - Funding Japan International Cooperation Agency - JICA - Funding Swiss agency for Development an |
Metadata | Documentation in PDF |
Created on
Sep 01, 2023
Last modified
Sep 04, 2023
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463106
Sampling
Sampling Procedure
The sampling frame for the 2021 CFSVA was designed to
provide statistically representative and precise information
for food security and nutrition at the district level. Both urban
and rural households from all 30 districts, including the City of
Kigali, were included in the sample.
A two-stage cluster sample procedure was applied by district.
The first stage comprised random sampling of 30 villages per
district with probability proportional to the population size. In
the second stage, 10 households in each of the 30 villages in
the 30 districts were selected for participation in the survey.
A systematic random sampling technique was employed
to select 10 households from the list to be interviewed. A
household was eligible for participation in the survey if its
members lived in one of the selected villages at the time of
the interview.
In total 9,000 households were interviewed countrywide,
including 8,012 women aged 15 to 49 years old. Questions
were asked to caretakers of 5,776 children aged 0 to 59
months. Anthropometric measurements were administrated
to 5,137 children between the ages 6 to 59 months. The IYCF
module was administered to caretakers of 2,154 children
between 6 to 23 months. In addition, focus group discussions
were carried out in the 900 villages where the assessment
took place.
Weighting
Taking into consideration the two-stage cluster sampling methodology, adjustment weights were computed to provide results representative at country level. The household probability of being selected in the sample is equal to the product of a household's probability of being selected in a village by the probability of the village of being sampled.
The inverse of this probability is the design weight. The design weight was adjusted for the expected and actual number of households in the surveyed villages and was used in the complex sample
calculations. The design weight was divided by the product of the total number of households in the population divided by the number of sampled households. The resulting weight was used in all non-complex sample analyses