<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="RWA-NISR-RSAS-2014-V1.2" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          RWA-NISR-RSAS-2014-V1
        </titl>
        <IDNo>
          ddi-rwa-nisr-rsas-2014-V1.2
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="NISR" affiliation="Minisrty of Finance and Economic Planning" role="Metadata producer">
          National Institute of Statistics of Rwanda
        </producer>
        <prodDate date="2017-04-24">
          2017-04-24
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 1.2 (June  2017).]]>
        </version>
      </verStmt>
      <holdings URI="http://microdata.statistics.gov.rw/"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Rwanda Seasonal Agriculture Survey 2014
        </titl>
        <altTitl>
          RSAS 2014
        </altTitl>
        <IDNo>
          RWA-NISR-RSAS-2014-V1.2
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          National Institute of Statistics of Rwanda
        </AuthEnty>
        <AuthEnty>
          NISR
        </AuthEnty>
        <othId role="Survey campaign an  Mobilisation" affiliation="Ministry of Local Governance">
          <p>
            Local Government
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MINAGRI" affiliation="Government of Rwanda" role="Technical partner">
          Ministry of Agriculture and Animal Resources
        </producer>
        <producer abbr="NAEB" affiliation="Government of Rwanda" role="Technical partner">
          National Agriculture Export Board
        </producer>
        <producer abbr="RAB" affiliation="Government of Rwanda" role="Technical partner">
          Rwanda Agricultural Board
        </producer>
        <producer abbr="RNRA" affiliation="Government of Rwanda" role="Technical partner">
          Rwanda Natural Resources Authority
        </producer>
        <producer abbr="REMA" affiliation="Government of Rwanda" role="Technical partner">
          Rwanda Environmental Management Authority
        </producer>
        <producer abbr="BNR" affiliation="Government of Rwanda" role="Technical partner">
          National Bank of Rwanda
        </producer>
        <copyright>
          (c)2014, National Institute of Statistics of Rwanda
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="NISR" URI="www.statistics.gov.rw" email="info@statistics.gov.rw">
          Director General
        </contact>
        <contact affiliation="NISR" URI="www.statistics.gov.rw" email="rwanda.nada@statistics.gov.rw">
          Data Portals Management Officer
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Agricultural Survey [ag/oth]
        </serName>
        <serInfo>
          <![CDATA[The Seasonal Agriculture Survey (SAS) is a study conducted annually by the National Institute of Statistics of Rwanda  from November to September to gather up-to-date information for monitoring progress on agriculture programs and policies in Rwanda.
The RSAS 2014 covered three agricultural seasons: 
- Agricultural Season A: starts in September of one calendar year and ends in February of the following calendar year; 
- Agricultural Season B: starts in March and ends in July of the same calendar year; and 
- Agricultural Season C starts in August and ends with September of the same calendar year.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2017-04-17">
          <![CDATA[Version 1.1  Edited anonymized dataset for public use]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <abstract>
        <![CDATA[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 2013 to October 2014 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 2014 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.]]>
      </abstract>
      <sumDscr>
        <collDate date="2013-11-14" event="start" cycle="Season A"/>
        <collDate date="2014-03-22" event="end" cycle="Season A"/>
        <collDate date="2014-04-15" event="start" cycle="Season B"/>
        <collDate date="2014-07-05" event="end" cycle="Season B"/>
        <collDate date="2014-09-15" event="start" cycle="Season C"/>
        <collDate date="2014-10-07" event="end" cycle="Season C"/>
        <nation abbr="rwa">
          Rwanda
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <anlyUnit>
          <![CDATA[This seasonal agriculture survey focused on the following units of analysis:

-Agricultural Operators and Large Scale Farmers]]>
        </anlyUnit>
        <universe>
          <![CDATA[The RSAS 2014 targeted  agricultural operators and large scale Farmers operating in Rwanda.]]>
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The scope of 2014 Seasonal Agriculture Survey concerned demographic and social characteristics of Agricultural Operators and Large Scale Farmers, and  farm characteristics ( Area, yield and production; agricultural practices; small agricultural equipments; and use of crop production).]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="NISR" affiliation="Ministry of Finance and Economic Planning">
          National Institute of Statistics of Rwanda
        </dataCollector>
        <sampProc>
          <![CDATA[
 For the 2014 SAS, NISR used as sampling method a dual frame sampling design combining selected area frame sample3 segments and a list of Large Scale Farmers.  NISR used also imagery from RNRA with a very high resolution of 25 centimeters to divide the total land of the country into twelve strata. 

A total number of 540 segments were spread throughout the country as coverage of the survey with 24,475 and 25,167 agricultural operators in Season A and Season B respectively. From these numbers of agricultural operators, sub-samples were selected during the Second Phases. 

Furthermore, enumerated Large Scale Farmers were 498 in 2014 Season A and 502 in Season B. Season C considered 152 segments counting 7,684 Agricultural Operators from which 609 Agricultural Operators were selected for survey interviews.

During Phase I, a complete enumeration of all farmers having agricultural land and operating within the 540 selected Segments was undertaken and counted 24,475 and 25,167 agricultural operators respectively in Season A and B. Season C considered only 152 segments counting 7,684 Agricultural Operators.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[There were two  types  of  questionnaires used for this survey  namely  Screening  questionnaire and  farm  questionnaires.
 
 A  Screening  Questionnaire  was  used  to  collect  information  that  enabled  identification  of  an Agricultural  Operator  or  Large  Scale  Farmer  and  his  or  her  land  use.  
Farm questionnaires were of two types:
a) Phase I Farm Questionnaire was used  to collect  data  on characteristics of Agricultural Operators, crop identification and area, inputs (seeds, fertilizers, labor, …) for Agricultural Operators and large scale farmers.
b)  Phase 2 Farm questionnaire was used in   the collection of data on crop production and use of production. 

It is important to mention that all these 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.

For  season  C,  after  screening, an  interview  was  conducted  for  each  selected tract/Agricultural Operator using one consolidated Farm questionnaire.
All the surveys questionnaires used were published in both English and Kinyarwanda languages.]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[The 2014 SAS used 120 enumerators grouped in 40 field teams and 43 Team leaders, i.e one Team leader to 3 Enumerators. All field work staff in 2014 possess a degree in Agronomy Science and were trained before starting data collection. Higher level supervision staff from NISR visited the field teams during each phase of data collection to ensure quality control.
Enumerators and Team leaders had adequate materials composed of Enumerator's Instruction manual, Screening questionnaire, Farm questionnaires, Measuring tapes, Ruler, Pens, Pencils, Calculator, Weighing scales, Global Positioning System (GPS), Personal Data System (PDA), Maps, Rain coats, Boots, Umbrella, First aid equipment, etc. Each team was assigned a vehicle. 

Before proceeding to the field, enumerators and their team leaders checked if they had all required materials for their fieldwork. All staff was required to arrive early on the field (Segment or LSF). Upon arrival in the field, the enumerators and their team Leaders took the related geographical coordinates that were used by supervisors to know the real starting time of the fieldwork.

The next step was the segment delineation or LSF and taking of geographical coordinates for the identified landmarks to allow supervisors to check if the segment was delineated appropriately and to ensure the collected data related to the plots inside the appropriate segment or LSF.]]>
        </collSitu>
        <actMin>
          <![CDATA[The survey used 120 Enumerators  organised around 40 field teams and 43 team leaders giving a ratio of one team leader to 3 Enumerators. 

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 by completing the fieldwork forms, which track the status of completion of the work in the field, document problems in the field and solutions taken to resolve these problems, and track the data entry process. Specifically, his/her tasks included:
 
1. Introduce the survey and interviewers at local level where the survey is administered. 
2. Review questionnaires and check that it has been correctly filled in. 
3. Monitor and attend some interviews and make comments on the worker's performance. 
4. Meet frequently with each member of the group to discuss, improve and organize work. 
5. Check the availability of all the necessary items before going on field. 
6. Help workers to solve the problems they encounter in dealing with respondents who are not responsive to questions or refuse to be interviewed. 
7. Manage the team's work schedule, including tracking questionnaires completed in the field, questionnaires assigned to the data entry team, and questionnaires that require correction by interviewers. 
8. Make sure all the big farmers are identified and surveyed. 
9. Communicate with NISR/MINAGRI staff, regarding field issues, as necessary. 
He/she was responsible for helping the interviewers to identify the segments and tracts that have been allocated to them, resolving any problems with reluctant operators observing interviews and making checks by visiting the operators after the survey to verify data.]]>
        </actMin>
        <weight>
          <![CDATA[The sample weights were calculated for each district considering the total number of segments in each district and the sample size in the  specific districts.]]>
        </weight>
        <cleanOps>
          Data editing took place at different stage. Firstly, the filled questionnaires were repatriated at NISR for office editing and coding before data entry started. Data entry of the completed and checked questionnaires was undertaken at the NISR office by 20 staff trained in using the CSPro software. To ensure appropriate matching of data in the completed questionnaires and plot area measurements from the GIS unit, a LOOKUP file was integrated in the CSPro data entry program to confirm the identification of each agricultural operator or LSF before starting data entry. Thereafter, data were entered in computers, edited and summarized in tables using SPSS and Excel.
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          The response rate for Seasonal Agriculture Survey is 98%.
        </respRate>
        <dataAppr>
          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.
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          This is edited data file for public use.
        </confDec>
        <contact affiliation="Ministry of Finance and Economic Planning" URI="http://microdata.statistics.gov.rw/" email="info@statistics.gov.rw">
          National Institute of Statistics of Rwanda
        </contact>
        <citReq>
          "National Institute of Statistics of Rwanda, Rwanda Seasonal Agriculture Survey 2013 (RSAS 2016), version 1.1 of public use dataset (December 2016), provided by the National Data Archive. &lt;http://microdata.statistics.gov.rw/&gt;"
        </citReq>
        <conditions>
          <![CDATA[To access to this statistical data, the user agrees NISR  microdata access  terms and conditions]]>
        </conditions>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <dataDscr/>
</codeBook>
