RWA_2020_AgS_v01_M
Agricultural Household Survey 2020
Name | Country code |
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Rwanda | RWA |
Agricultural Survey [ag/oth]
This survey gathered information at the household level about basic agriculture indicators related to demographic household characteristics, farm characteristics, livelihood activities, crop information, livestock production, level of inputs use, agricultural practices, extension services, level of implementation of agricultural programs, the financial aspect of agricultural households, and other agriculture-related indicators. The information on crop production and productivity was not captured here as it is well recorded in the Seasonal Agricultural Survey (SAS) also conducted by NISR. Agriculture statistics are useful for monitoring progress on agriculture programs and policies in Rwanda. The government of Rwanda needs updated information on agricultural household in order to assist in addressing key agricultural issues and information needs that will inform policy makers and other stakeholders and allow more effective identification of priority intervention needs and to facilitate evidence-based decision making for the development of Agriculture sector
Sample survey data [ssd]
This seasonal agriculture survey focused on the following units of analysis: Agricultural Households for both household and individual level.
Version 0.1. Edited anonymized dataset for public use.
2022-04-19
National coverage
Suvery is at district level. Agricultural Households for both household and individual level.
All household members
Name | Affiliation |
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National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
Name | Affiliation | Role |
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National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Producer of this Survey |
Name | Role |
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Government of Rwanda | Funding |
To ensure a good representation of data at the district level, the survey was conducted using a sample size of 900 Enumeration areas (EAs). A sample frame used was composed of a list of enumeration areas (EAs) retrieved from the 2012 Rwanda General Population and Housing Census (RGPHC-2012). A stratified two-stages sample design was used.
The first stage focused on a stratified sample of enumeration areas from the latest RGPHC-2012. Given that rural areas are dominated by many households practicing agriculture, the frame of EAs was sorted by urban and rural areas within districts. This provides an implicit stratification of the households by urban and rural areas. Out of 900 EAs, 860 were selected from rural EAs while the rest was selected from urban EAs, where there are fewer but not negligible numbers of households practicing agriculture.
To ensure adequate geographical distribution of the sample and given that the results were analysed up to district level, the sample of 860 rural EAs was allocated equally among 30 districts, while a sample of 40 urban EAs was allocated proportionally throughout the country. At this first stage, the sampled EAs in each district were selected systematically with a probability proportional to size (PPS) measured in terms of the total number of households in each EA from the RGPHC-2012.
The second stage looked at a random selection of a fixed number of 12 households who only did agriculture in each sampled EA. 12 households were selected from an updated number of households listed in each sampled EA, in the first phase of AHS 2020 data collection.
It is important to note that there are EAs with less than 12 agricultural households and these have been directly taken as a sample at the second stage. Finally, the sampling process conveyed a total sample of 10,666 agricultural households.
The weight of a given sample-households is the inverse of the probability of selection of households. This probability is computed as the product of two probabilities
The questionnaire was designed in CSPro software and android tablets were used to facilitate electronic data collection. The survey questionnaire was designed with a common set of core modules on household composition, household members' characteristics, land use and ownership, crops planted during the agricultural year 2019/2020, agriculture extension services, agricultural programs, access to savings and credits, access to inputs, livestock numbers, livestock production (milk, eggs and honey) and other agricultural related information. Moreover, GPS was used for locating sampled households at the same time used as a monitoring tool for field staff.
Start | End | Cycle |
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2020-09-06 | 2020-10-08 | Data Collection |
Name | Affiliation |
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National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
DDI_RWA_2020_AgS_v01_M
Name | Affiliation | Role |
---|---|---|
National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Producer of this Survey |
Development Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2023-08-02
Version 01 (August 2023): This metadata was downloaded from the Rwanda NISR catalog (https://microdata.statistics.gov.rw/index.php/catalog) and it is identical to Rwanda NISR version (RWA-NISR-RAHS-2020-V0.1). The following two metadata fields were edited - Document ID and Survey ID.