Comprehensive Food Security and Vulnerability Analysis 2018
Rwanda, 2018
Get MicrodataIdentification
RWA_2018_CFSVA_v01_M
Comprehensive Food Security and Vulnerability Analysis 2018
| Name | Country code |
|---|---|
| Rwanda | RWA |
Living Standards Measurement Study [hh/lsms]
The 2018 CFSVA marks the fifth time that this type of survey has been conducted in Rwanda. The previous analyses took place in 2006, 2009, 2012, and 2015 under the overall leadership of the National Institute of Statistics Rwanda. The results of this CFSVA highlight the continuing positive trends from previous studies, namely that since 2006, Rwanda has taken great strides in reducing poverty and malnutrition in the country.
This Comprehensive Food Security and Vulnerability Analysis (CFSVA) 2018 measures the extent and depth of food and nutrition insecurity in Rwanda, observes trends over time, and analyses the socioeconomic and demographic determinants linked to food and nutrition insecurity. The report provides insight into the following key questions:
. Who are the people currently facing food insecurity and malnutrition?
. How many are they?
. Where do they live?
. Why are they food insecure and/or malnourished?
. How can food assistance and other interventions make a difference in reducing food insecurity and malnutrition and in supporting livelihoods?
Sample survey data [ssd]
The units of analysis are household and community level.
Version
Version 0.1 Edited, Anonymized dataset for public use
2020-06-11
Version 0.1 Edited, Anonymized dataset for public use
Scope
The scope of Comprehensive Food Security and Vulnerability Analysis includes:
Village: Topics covered included community infrastructure, market information, agricultural crop calendar, shocks and received assistance. This information was used to contextualize the results from the household questionnaire.
Household: The study gathered information through household questionnaires that included sections on demographics, housing and facilities, assets and access to credit, agriculture, livelihoods, expenditures, food consumption and sources, shocks, coping strategies and assistance.
Women and child: A questionnaire was administered to women of reproductive age (15-49 years old) including questions regarding pregnancy, health, hygiene and food consumption.
Questions asked regarding children under 5 years covered the topics of breastfeeding, health and supplements. In addition, for children between 6 and 24 months a section on infant and young child feeding practices (IYCF) was included
Coverage
National coverage
Household members
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
| Name | Affiliation | Role |
|---|---|---|
| Ministry of agriculture and Animal Resources | Government of Rwanda | Technical assistance |
| United Nations World Food Programme | International Organisation | Technical, logistical and financial coordination |
| Name | Role |
|---|---|
| Goverment of Rwanda | Financial support |
| European Union | Financial support |
| USAID | Financial support |
| UNICEF | Financial support |
| WFP | Financial support |
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Local Government (MINALOC) | Government of Rwanda | CFSVA technical committee |
| Ministry of Health (MoH) | Government of Rwanda | CFSVA technical committee |
| National Early Childhood Development Programme (NECDP) | Ministry of Gender and Family Promotion (MIGEPROF) | CFSVA technical committee |
Sampling
Rwanda is administratively divided into four provinces (Northern Province, Southern Province, Eastern Province and Western Province) plus Kigali City and has a total of 30 districts. Districts are further divided in sectors and cells.
To facilitate comparison with existing studies, the CFSVA 2018 was designed to provide statistically representative and precise information at the district level. In addition, it was decided to include both urban and rural households and not to exclude the capital province Kigali. The sampling frame was organized according to the 30 districts. Subsequently, a two-stage cluster sample procedure was applied.
In the first stage, 30 villages per district were randomly selected with probability to be selected proportional to the population size. In the second stage, ten households in each of the 30 villages in the 30 provinces were selected for participation in the survey. A systematic random sampling technique was chosen for this stage. The team leader, together with the village head, listed all households in the village. Based on this list, a systematic random sample was utilized to pick ten households to be interviewed and three reserve households should any of the first ten households be missing at the time of the interview or not agree to participate. Households were eligible for participation in the assessment if living in one of the selected villages at the time of the interviews. Thus, ten households, from 30 villages, from 30 provinces were chosen to participate in the survey, amounting up to 9000 households.
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.
Survey instrument
Three instruments were used for primary data collection: a community survey administered to key informants, a household survey administered to randomly selected households and a mother and child questionnaire administered to women of reproductive age in the households.
The instruments were first developed in English and subsequently translated into Kinyarwanda. Tablets programmed with the questionnaires using the Open Data Kit (ODK) were used for the data collection.
Village Questionnaire:
For each visited village, key informants were gathered in a group and interviewed with a structured questionnaire. The participants normally consisted of village leaders, members of local government, teachers, health workers and farmers. In total, 749 village interviews were conducted. Topics covered included community infrastructure, market information, agricultural crop calendar, shocks and received assistance. This information was used to contextualize the results from the household questionnaire.
Household Questionnaire:
The study gathered information through household questionnaires that included sections on demographics, housing and facilities, assets and access to credit, agriculture, livelihoods, expenditures, food consumption and sources, shocks, coping strategies and assistance. In total, 9000 households participated in the survey.
Women and Child Questionnaire:
A questionnaire was administered to women of reproductive age (15-49 years old) including questions regarding pregnancy, health, hygiene and food consumption. Questions asked regarding children under 5 years covered the topics of breastfeeding, health and supplements. In addition, for children between 6 and 24 months a section on infant and young child feeding practices (IYCF) was included.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2018-03-01 | 2018-04-05 | NA |
| Start date | End date |
|---|---|
| 2018-03-01 | 2018-04-05 |
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | MINECOFIN |
| World Food Program | UN |
| Ministry of Agriculture and Annimal Resource | GoR |
All 30 districts in Rwanda were covered by teams of carefully selected enumerators. Steps taken to ensure that the results accurately represent the food security and nutrition situation in Rwanda were: training of enumerators, careful translation of the questionnaires and close supervision of the data collection process. The enumerators were also trained to facilitate interviewee recall and to collect accurate anthropometric data.
Respondents were informed that participation was voluntary, no benefit would be affected by their decision to participate or not participate and that the interview was anonymous.
During data collection, team leaders recorded number of households in the village, reasons (if any) for skipping the households, contact details of village authorities and number of women/children measured in each household. These data will allow calculation of response rates and the determination of reasons for non-response and facilitate the linking of the food security and nutrition questionnaires.
A mobile phone communication system was put in place between each team leader, survey supervisor and the survey coordination team. Tips and revised procedures were communicated immediately to all survey teams by sms.
National supervisors ensured that the study was conducted in a standardized manner.
Primary data collection took place over six weeks from end-February to mid-March 2018 which coincide with the season A post-harvest season.
Survey preparation: The survey protocol was cleared by the National Ethics Committee, and a visa request was approved by the National Institute of Statistics.
Selection of enumerators and team leaders: Survey team members all had previous experience in similar food security and nutrition surveys. The training included 20-30% more personnel than finally recruited for the actual data collection, this allowed the coordination team to select the best enumerators based on their performance during the training. Also reserve enumerators could be called upon if any selected enumerators defaulted. The training consisted of 6 full days of classroom instruction and practice and 1 day of pre-testing of all survey procedures. The assessment managers ensured that all enumerators were fully aware of the enrolment and consent process as well as of inclusion and exclusion criteria for households.
During data collection: For each selected village, Team leaders recorded the following information, 1) number of households in the village, reasons (if any) for skipping the households, contact details of village authorities and number of women/children measured in each household. These data will allow calculation of response rates and the determination of reasons for non-response.
A mobile phone communication system was put in place between each team leader, survey supervisor and the survey coordination team. Tips and revised procedures were communicated immediately to all survey teams by sms.
Data processing
Data was downloaded directly from the tablet to an access database and exported to SPSS for analysis. Data cleaning consisted of examining frequency distributions for all variables in order to detect those values which are not logical or possible. Each participating household, child, and woman had a unique identification number made up of the cluster number and household number and, for individuals, an individual number. For some variables, specifically anthropometric z-scores, standard criteria were applied to delete z-scores which were judged to be impossible and most likely due to error in measurement.
Access policy
National Institute of Statistics of Rwanda
National Institute of Statistics of Rwanda
https://microdata.statistics.gov.rw/index.php/catalog/91
Cost: None
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | www.statistics.gov.rw | Info@statistics.gov.rw |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Confidentiality of respondents is guaranteed by low N° 45/2013 OF 16/06/2013 in it's article 17, before being granted access to the dataset , all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of ny person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents ordiscussion, oranalysis. Such inadvertent identification revealed in her/his analysis will be immediate brought to the attention of the data. |
National Institute of Statistics of Rwanda (NISR), Comprehensive Food Security and Vulnerability Analysis 2018, December 2018
Disclaimer and copyrights
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.
© 2018, World Food Programme, Vulnerability Analysis and Mapping (VAM)
Contacts
| Name | Affiliation | |
|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | info@statistics.gov.rw |
Metadata production
DDI_RWA_2018_CSFVA_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Documentation of the Study |
2020-06-11
Metadata version
Version 2 (August 2020)
2020-08-18
Edited version based on the original version (RWA-NISR-CFSVA-2018-v01) that was produced by the National Institute of Statistics of Rwanda.