Agricultural Household Survey 2017
Rwanda, 2017
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RWA_2017_AgS_v01_M
Agricultural Household Survey 2017
| Name | Country code |
|---|---|
| Rwanda | RWA |
Agricultural Survey [ag/oth]
The Agriculture Household Survey (AHS) is a study intended to be conducted every three years by the National Institute of Statistics of Rwanda from the reference period of the agricultural year September 2016 - June 2017. Data was collected from July to September 2017 to gather up-to-date information aimed at capturing conditions of agricultural households of the country in the context of agriculture policies and programs of the Government of Rwanda.
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
Version 0.1 Edited anonymized dataset for public use
2017-07-28
Scope
The scope of 2017 Agricultural Household Survey was related to socio-economic characteristics of agricultural households, crop production, use of agricultural production, awareness of agriculture technology, government policies and programs, access to inputs, access to finance, agricultural assets and livestock numbers.
Coverage
National coverage
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
| Name | Affiliation |
|---|---|
| Ministry of Agriculture and Animal Resources | Government of Rwanda |
| Name | Role |
|---|---|
| Government of Rwanda | Funding |
Sampling
In order to provide the basis for conducting sample surveys based on complete coverage of the household level in all 30 districts of Rwanda, and as a better way of collecting agricultural household data and finding better precise survey estimates, agricultural household survey (AHS) used a Multiple-Frame Sampling (MFS) methodology by which, area frame was constructed and survey sample was drawn from it.
In the sampling strategy of the SAS 2017, it was proposed that 960 PSUs be selected in the first instance by systematic sampling method with probability proportional to size. At the second stage the sampled PSUs were divided into SSUs among which only one SSUs was sampled at random for each PSU and used for the survey. 960 segments were drawn from three agricultural strata including intensive agriculture land on hillsides (stratum 1.1), intensive agriculture land in marshlands (stratum 2.0), rangelands (stratum 3.0). Using the open segment obliges to include urban strata in the sampling frame. Apart from stated strata, village stratum which combines two substrata; urban area (stratum 4.1) rural settlements (stratum 4.2) was added to the sample frame. This stratum was divided into segments and a sample of 600 segments was drawn by systematic sampling method. It should be mentioned that the Stratum 4.1 and 4.2 were specially added to the purpose of having a complete sampling frame for estimation of livestock since a major portion of livestock are associated with households located in villages and rural urban area adjacent to grazing land that had previously been missing for all of the previous SAS area sampling frames.
This survey was conducted among private agricultural households, in 4 strata used in Seasonal Agricultural Survey. Households were listed from the 1,560 sampled segments in the country. Among the listed households 16,057 households found were the ones applying agricultural activities. A single visit was done in every identified agricultural household and the information collected covered two agricultural seasons A and B of 2017 agricultural year.
Taking into consideration of full completeness of the segment, sampling weights were calculated for each stratum in each district considering the total number of segments in the stratum and the sample size in the specific stratum. The weight was calculated as the inverse of the overall probability of selection, taking into account the probabilities from all sampling stages. For strata 1.1, 2.0 and 3.0, the sampling of segments was done through two stages and probabilities were calculated for each sampling stage. For strata 4.1 and 4.2 the sampling of segments was done through one stage and probabilities were calculated in order to determine the weight.
Survey instrument
Listing questionnaire was used to list all households inside the segment.
Agricultural household questionnaire was used to collect data in agricultural households and contained twelve sections:
Section 0: General information
Section I: Household member's characteristics
Section II: lLnd tenure and crops planted during agricultural year 2016-2017 agricultural year
Section III: Extension services and agricultural programs in 2016-2017 agricultural year
Section IV: Funding during 2016-2017 agricultural year
Section V: Agricultural inputs during 2016-2017 agricultural year
Section VI: Agricultural practices during 2016-2017 agricultural year
Section VII: Agricultural tools during 2016-2017 agricultural year
Section VIII: Use of production, storage facilities and expenses on harvesting and storage during 2016-2017 agricultural year
Section IX: Number of animals
Section X: Animal's products and use
Section XI: Animal inputs and services
Questionnaire design took into account the requests raised by major data users and stakeholders, it was developed in English then translated into Kinyarwanda for data collection, all the sections of the questionnaire were published in English.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2017-07-18 | 2017-07-28 | Listing of households |
| 2017-07-30 | 2017-09-04 | Interview for agricultural households |
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
At the bottom of the hierarchy, there are enumerators who would be assisted by a team leader. His/ her main function is to introduce the enumerators to the various key people from the sector to the villages leaders up to operators in the Secondary Sampling Unit (known as Segment), and assist enumerators during the whole course of the survey.
Responsibilities of a Team Leader is to manage the interviewers to ensure successful completion and quality of data collected in a given time period for the fieldwork. He/she was expected to record information about the fieldwork, which track the status of completion of the work in the field, document problems in the field and solutions taken to resolve these problems.
At the middle of the hierarchy, there are team leaders at regional level who assist district teams. Specifically, his/her tasks included:
- Introduce the survey and interviewers at local level where the survey is administered.
- Monitor and attend some interviews and make comments on the worker's performance.
- Meet frequently with each member of the group to discuss, improve and organize work.
- Check the availability of all the necessary items before going on field.
- Help workers to solve the problems they encounter
- Manage the team's work schedule
- Communicate with NISR, regarding field issues, as necessary.
A higher-level supervision staff from NISR visited the field teams during each phase of data collection to ensure quality of data.
Data collection consists of two distinct phases: The first phase, known as Listing of households, consists of visiting all sampled segments and after identifying a dwelling (household), enumerators through reading the definition of household to the household head, identify the number of households in that dwelling record the information on household's main activity whereby each household was asked if there is at least one household member who was engaged in cropping or/ and livestock during the agricultural year 2016/2017. The second phase consists of visiting agricultural household from listing, all of them were interviewed and records were taken using survey instruments. In this phase each sampled agricultural household is requested to provide information related to socio-economic characteristics of agricultural households, crop production, use of agricultural production, awareness of agriculture technology, government policies and programs, access to inputs, access to finance, agricultural assets and livestock numbers.
For AHS 2017, NISR employed 200 field workers 168 enumerators, 23 Team leaders at district level, 7 regional supervisors and 3 data editors. Training was provided to all fieldwork personnel on the data collection methodologies associated with the use of GPS household location and computer tablet questionnaires used for data collection. The computer assisted personal interviewing data collection method allowed for very fast and efficient uploading and transfer of the enumerated data from the field to NISR headquarters for processing. The tablet software instruments (electronic version of the paper questionnaires) allowed for instantaneous checking of the respondent data and automatically directed the enumerator questioning to reduce non-sampling errors within the data collection.
Data processing
The questionnaire was designed in CSPro software to facilitate electronic data collection. Tablets were used to collect data
Data editing took place at a number of stages throughout the processing, including:
a) During data entry
b) Office editing and coding
c) Structure checking and completeness
Access policy
National Institute of Statistics of Rwanda
National Institute of Statistics of Rwanda
https://microdata.statistics.gov.rw/index.php/catalog/90
Cost: None
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda | NISR | www.statistics.gov.rw | info@statistics.gov.rw |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 1. The data and other materials provided by the National Institute of Statistics of Rwanda will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the National Institute of Statistics of Rwanda. 2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. 3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Institute of Statistics of Rwanda. 4. No attempt will be made to produce links among datasets provided by the National Institute of Statistics of Rwanda. |
- The data and other materials provided by the National Institute of Statistics of Rwanda will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Nationall Institute of Statistics of Rwanda.
- The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
- No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Institute of Statistics of Rwanda .
- No attempt will be made to produce links among datasets provided by the National l Institute of Statistics of Rwanda.
National Institute of Statistics of Rwanda (NISR), Agricultural Household Survey 2017 report, 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.
(c) 2018, National Institute of Statistics of Rwanda
Contacts
| Name | Affiliation | |
|---|---|---|
| National Institute of Statistics of Rwanda | NISR | info@statistics.gov.rw |
Metadata production
DDI_RWA_2017_AgS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Documentation of the study |
2019-02-18
Metadata version
Version 2 (August 2020). Edited version based on version 1 (RWA-NISR-RAHS-2017-V0.1) that was produced by the National Institute of Statistics of Rwanda.
2020-08-18