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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / BWA_2015_AC_V01_EN_M_V01_A_OCS
Agricultural-Census

Agricultural Census 2015

Botswana, 2015
Reference ID
BWA_2015_AC_v01_EN_M_v01_A_OCS
Producer(s)
Agricultural Statistics Unit, Department of Agricultural Research, Statistics and Policy Development
Collections
Agricultural Censuses
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 02, 2020
Last modified
Nov 02, 2020
Page views
2526
Downloads
801
  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    BWA_2015_AC_v01_EN_M_v01_A_OCS

    Title

    Agricultural Census 2015

    Country
    Name Country code
    Botswana BWA
    Study type

    Agricultural Census [ag/census]

    Series Information

    The Botswana Agricultural Census (AC) was the fourth census of Agriculture to be conducted in the country. The first livestock census was carried out in 1971, while three agricultural censuses, covering both crops and livestock were conducted in 1982, 1993 and 2004.

    Abstract

    Agriculture plays an important role in rural development by providing food, income and employment for the majority of the rural dwellers. The sector has potential for growth and creation of employment opportunities particularly for the unskilled and semi-skilled people. However, the sector is not performing optimally due to recurring droughts and endemic animal diseases such as Foot and Mouth Disease (FMD). Nevertheless, agriculture still remains a viable option for poverty reduction and employment creation because it is labour intensive. Since 2015 was declared a drought year, the results of the 2015 agricultural census depict contrasting trends between livestock and crop production. Comparison between the 2004 Agriculture Census with the 2015 Agricultural Census figures reveal that livestock production showed a decline, while arable production showed a marked improvement in the production of the three main crops i.e. sorghum, beans/pulses and sunflower.

    Kind of Data

    Census/enumeration data [cen]

    Unit of Analysis

    Households

    Scope

    Notes

    The Scope of The Botswana Agricultural Census 2015 Includes:

    · Identification
    · Particulars of The Holding
    · Particulars of The Holder
    · Land Measurement
    · Livestock
    · Farming Practice
    · Crop Production
    · Water Supply, Farm Equipment and Machinery Inventory
    · Climate/Weather
    · Farm Enterprise
    · Farm Labour
    · Agricultural Labour and Farm Credit

    Topics
    Topic Vocabulary
    Agriculture & Rural Development FAO
    Land (policy, resource management) FAO
    Labor FAO
    Livestock FAO
    Infrastructure FAO
    Water FAO
    Access to Finance FAO

    Coverage

    Geographic Coverage

    National

    Universe

    The statistical unit was the agricultural holding, defined as economic unit of agricultural production under single management comprising all livestock kept and all land used wholly or partly for own account agricultural production purposes, without regard to title, legal form, or size. The AC 2015 covered holdings in both the household sector (the "traditional sector") and the non-household sector (the "commercial sector".)

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Agricultural Statistics Unit Statistics Botswana
    Department of Agricultural Research, Statistics and Policy Development Ministry of Agriculture Development and Food Security
    Producers
    Name Role
    Agricultural Statistics Unit Technical assistance

    Sampling

    Sampling Procedure

    (a) STRATIFICATION

    The Sampling Frame was constructed from the 1,328 Enumeration Areas (EAs) demarcated during the 2011 Population and Housing Census. This excluded all enumeration areas for urban villages and cities such as Gaborone and Francistown, and towns such as Lobatse, Selebi-Phikwe, Orapa, Jwaneng and Sowa. Also excluded from the sampling frame were enumeration areas for camps and commercial farms or ranches. The 2015 Agricultural Census has three levels of stratification. The lowest level comprised of the nineteen census districts. The second level consists of the ten administrative districts. The third level is the national level. A note has to be made here that the census districts are subsumed into the administrative districts. Creation of strata is dictated by two principal criteria. These include the need to:

    • Provide estimates for each major region of the country.
    • Increase precision.

    Apart from national and rural estimates, the Government, which is the main user of Statistics Botswana data, requires accurate estimates for all census and administrative districts for planning and monitoring of agricultural development projects. Explicit stratification was therefore undertaken such that all census district become their own strata. The frame was organized in such a way that there was implicit stratification according to rural ecological zones; namely (i) Village (ii) Lands, and (iii) Cattle-post. This implicit stratification along ecological zones was expected to improve the accuracy of census data in view of the fact that homogeneity of the variables was relatively high. During the delineation of the maps, each EA was associated with unique ecological zone and thus, grouping the EAs into respective zones was not a problem. To facilitate the selection according to the stratification variables, the EAs were listed in three (3) independent sub-groups viz. (i) Village (ii) Lands, and (iii) Cattle-post in each agricultural district.

    (b) SAMPLE SIZE

    Many factors were considered when establishing the sample size for the 2015 Agricultural Census. The most important were: i) the general and specific objectives of the census, which required estimation of many variables; ii) the "needed" or "required" precision to achieve the census objectives measured in cost-benefit terms; iii) the magnitude of non-sampling errors that could affect the sampling design; and iv) the quality and completeness of Enumeration Areas (Sampling Frame).

    Weighting

    One of the by-products of the increased availability of computer programs for processing survey data has been the practice of assigning a weight to each sample case when non-epsem designs are used. The sampling weights were calculated for the sampling design used for 2015 Agriculture Census. In a multistage design, the sample selected at each stage represents the respective population. The fundamental assumption is that units selected at each stage are homogeneous to those not selected in respect of characteristics of interest. The weights of the sample are equal to the inverse of the probability of selection. Therefore, the sampling probabilities at first stage of selection of EAs including probabilities of selecting the holders were used to calculate the weights

    Data collection

    Dates of Data Collection
    Start End Cycle
    2015-01 2015-06 Phase I
    2015-06 2015-11 Phase II
    2015-07 2015-12 Phase III
    Time Method

    The agricultural year (from October 2014 to February 2015- planting season; from May to August 2015 - harvesting period), for items relating to economic activity carried out by household members; livestock variation, etc.

    Data processing

    Data Editing

    (a) PROCESSING
    All questionnaires which were received from the field were first checked and verified as soon as they reached the headquarters. All questionnaires with inconsistencies or omissions were returned to the field for correction. Data processing (entry, editing and validation) of census data was done using the CSPro software. Data entry applications were designed with consistency checks and skip patterns. Batch editing programmes were used for editing and cleaning.

    (b) DATA QUALITY
    The supervisors and enumerators were thoroughly trained on census questionnaires. Supervisor and enumerator manuals were prepared and made available to each team. Each supervisor and enumerator were provided with supervisor manuals and enumerator manuals respectively. Data coding and editing officers were employed to check questionnaire on arrival. Quality control officers were deployed to different districts to check the teams' work in the field.

    Data appraisal

    Estimates of Sampling Error

    Agricultural Census 2015, joins other surveys conducted by Statistics Botswana under complex designs. A stratified two stage design was employed in carrying out the census which calls for specialized methods and softwares to take care of the complexity of the design. In this case, WesVar 4.3 statistical software (supported by WESTAT) was used to obtain standard errors, confidence intervals and design effect for selected indicators.

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes See https://www.statsbots.org.bw/terms-use
    Access conditions

    See https://www.statsbots.org.bw/terms-use

    Contact Unit:

    Agricultural Statistics,
    Ministry of Agriculture Development and Food Security,
    Department of Agricultural Research, Statistics & Policy Development,
    Private Bag 003,
    Gaborone

    Telephone: (267) 3689755/753/751

    Fax: (267) 3191 806

    Disclaimer and copyrights

    Disclaimer

    Statistics Botswana maintains a high level of quality of the information on this website. If errors are brought to our attention, they will be evaluated and revisions will be made in accordance to Statistics Botswana’s standards and processes. However, we do not guarantee the useability, suitability or accuracy of any information contained herein for any purpose whatsoever or accept legal liability whatsoever arising from or linked to any material on this website or any linked site.

    Contacts

    Contacts
    Name Email URL
    Statistics Botswana [email protected] http://www.statsbots.org.bw

    Metadata production

    DDI Document ID

    DDI_BWA_2015_AC_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Adoption of the metadata for FAM
    Statistics Division Food and Agriculture Organization Generation of the metadata

    Metadata version

    DDI Document version

    BWA_2015_AC_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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