Seasonal Agriculture Survey 2018
Rwanda, 2017 - 2018
Get MicrodataIdentification
RWA_2018_SAS_v01_M
Seasonal Agriculture Survey 2018
| Name | Country code |
|---|---|
| Rwanda | RWA |
Agricultural Survey [ag/oth]
The Seasonal Agriculture Survey (SAS) is a study conducted annually by the National Institute of Statistics of Rwanda from November to September of the following year to gather up-to-date information for monitoring progress on agriculture programs and policies in Rwanda.
The SAS 2018 covered three agricultural seasons:
- Agricultural Season A: starts from September 2017 to February 2018;
- Agricultural Season B: starts from March to June 2018; and
- Agricultural Season C: starts from July to August 2018.
The main objective of the Seasonal Agriculture Survey is to provide timely, accurate, reliable and comprehensive agricultural statistics that describe the structure of agriculture in Rwanda in terms of land use, crop production and livestock to monitor current agricultural and food supply conditions and to facilitate evidence based decision making for the development of Agriculture sector.
In this regard, the National Institute of Statistics of Rwanda conducted the Seasonal Agriculture Survey (SAS) from November 2017 to October 2018 to gather up-to-date information for monitoring progress on agriculture programs and policies in Rwanda, including the Second Economic Development and Poverty Reduction Strategy (EDPRS II) and Vision 2020. This 2018 RSAS covered three agricultural seasons (A, B and C) and provides data on background characteristics of the agricultural operators, farm characteristics (area, yield and production), agricultural practices, agricultural equipments, use of crop production by agricultural operators and by large scale farmers.
Sample survey data [ssd]
This seasonal agriculture survey focused on the following units of analysis: Agricultural Operators and Large Scale Farmers
Version
Version 01. Edited, anonymous dataset for public use.
Scope
The scope of 2018 Seasonal Agriculture Survey included the following farm characteristics:
- Area, yield and production;
- Agricultural practices;
- Small agricultural equipments; and
- Use of crop production).
Coverage
National coverage allowing district-level estimation of key indicators
The RSAS 2018 targeted potential agriicultural land and large scale farmers
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 partner |
| National Agriculture Export Board | Government of Rwanda | Technical partner |
| Rwanda Agricultural Board | Government of Rwanda | Technical partner |
| Rwanda Environmental Management Authority | Government of Rwanda | Technical partner |
| Name | Role |
|---|---|
| The Government of Rwanda | Funder |
Sampling
In order to provide the basis for conducting probability surveys based on complete coverage of the farm level, and as a better way of collecting agricultural data and finding better precise survey estimates, SAS used a Multiple-Frame Sampling (MFS) methodology by which, area frame was constructed and survey sample was drawn from it. Apart from that, a list frame of large-scale farmers (LSF), with at least 10 hectares of agricultural holdings, was done to complement the area frame just to cover crops mostly grown by large scale farmers and that cannot be easily covered in area frame.For detailed information regarding the sampling procedures, refer to the component of Methodology in the report.
Data collection was done in 780 segments and 222 large scale farmers holdings for Season A, whereas in Season C data was collected in 232 segments, response rate was 100% of the sample.
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.
Survey instrument
There were two types of questionnaires used for this survey namely Screening questionnaire and plot questionnaires. A Screening questionnaire was used to collect information that enabled identification of a plot and its land use using the plot questionnaire. For point-sampling , the plot questionnaire is concerned with the collection of data on characteristics of crop identification, inputs (seeds, fertilizers, labor …), agricultural practices, crop production and use of production. All the surveys questionnaires used were published in English.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2017-12-10 | 2018-01-30 | Season A |
| 2018-04-29 | 2018-07-19 | Season B |
| 2018-09-04 | 2018-09-24 | Season C |
- Face-to-face [f2f]
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
The survey used 151 Enumerators in form of two field workers per team. At the bottom of the hierarchy, there are enumerators who would be assisted by a team leader also known as a controller. 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.
A higher level supervision staff from NISR visited the field teams during each phase of data collection to ensure quality control.
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. 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
- Make sure all the big farmers are identified and surveyed.
- Communicate with NISR, regarding field issues, as necessary.
Data collection consists of two distinct phases:
The first Phase, known as screening activity, consists of visiting all sampled segments and delineating all plots in which the sampled grids points are fallen and thereafter recording the related information using screening questionnaire.
The second phase consists of visiting the sub-sampled agricultural plots from screened plots in phase one as well as all Large- Scale Farmers having cultivated plots in the season the survey is being conducted. This phase is conducted in the period of harvesting where farmers are requested to provide information about sowing period and harvesting period, inputs used, agricultural practices done on the plots, the crop production and its use.
For SAS 2018 the NISR employed around 151 field workers in the form of two-person teams to conduct the fieldwork. The fieldwork consisted of a Phase 1 for segment screening and a Phase 2 for plot data collection. Training was provided to all fieldwork personnel on the data collection methodologies associated with the use of GPS for point-sampling and computer tablet questionnaires used for plot data collection and farmer interviews.
The tablet computer assisted data collection and interview 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 CAPI method of data collection allows the enumerators in the field to collect and enter data with their tablets and then synchronize to the server at headquarters where data are received by NISR staff, checked for consistency at NISR and thereafter transmitted to analysts for tabulation using STATA software, and reporting using office Excel and word as well.
Data appraisal
All Farm questionnaires were subjected to two/three rounds of data quality checking. The first round was conducted by the enumerator and the second round was conducted by the team leader to check if questionnaires had been well completed by enumerators. And in most cases, questionnaires completed by one enumerator were peer-reviewed by another enumerator before being checked by the Team leader.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda | MINECOFIN | 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. |
- 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 l 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),Seasonal agriculture survey 2018, December 2018
Disclaimer and copyrights
(c) 2018, National Institute of Statistics of Rwanda
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda | MINECOFIN | Info@statistics.gov.rw | www.statistics.gov.rw |
Metadata production
DDI_RWA_2018_SAS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Institute of Statistics of Rwanda | Minisrty of Finance and Economic Planning | Metadata producer |
| Development Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2023-08-02
Metadata version
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-RSAS-2018-v0.1). The following two metadata fields were edited - Document ID and Survey ID.