Census of Commercial Agriculture, 2017 Presented by Risenga - - PowerPoint PPT Presentation
Census of Commercial Agriculture, 2017 Presented by Risenga - - PowerPoint PPT Presentation
Census of Commercial Agriculture, 2017 Presented by Risenga Maluleke THE MANDATE OF STATS SA Stats SA adheres to Stats SA (through the SG) Stats SA (through the SG) According to section 17 of international best is responsible for official is
Stats SA (through the SG) is responsible for official statistics in the country. Official statistics are designated as such by the Statistician-General. Stats SA (through the SG) is independent since according to section 7 of the Statistics Act, 1999 (Act No. 6 of 1999) it has the ‘final responsibility’
- n the collection,
processing and dissemination of data. According to section 17 of the Statistics Act, any information collected on a household, farm or business remains confidential to Stats SA. The results are presented in an aggregate form only. Stats SA adheres to international best practice in terms of standards and methods, specifically the United Nations Principles of Official Statistics.
THE MANDATE OF STATS SA
INTRODUCTION
Stats SA is to conduct a Census of Commercial Agriculture for 2017 (CoCA 2017), and 1
Stats SA signed an MoU with the Department of Agriculture, Forestry & Fisheries (DAFF) early in 2018, according to which DAFF is to develop a Farmers’ Register, with special focus on small-holder farmers.
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To generate information on the size, structure & nature at municipal level on the structure of commercial agriculture,
To provide data to use as benchmarks for and reconciliation of current agricultural statistics To improve frames (lists of farms) to be used for conducting commercial agriculture sample surveys.
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OBJECTIVES THE CENSUS OF COMMERCIAL AGRICULTURE
The general objective of the 2017 Census of Commercial Agriculture is to collect basic quantitative information on South Africa’s commercial agriculture that is essential for planning, policy formulation, food security, etc. SPECIFICALLY
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The conducting of a Census of Agriculture started in 1918. The results were published in July 1919. Until 1980, the census of agriculture was conducted every years, except from 1940 to 1945 (World War II) The frequency decreased over the years to a five-year interval.
The last Census of Commercial Agriculture before 1994 was conducted for 1993, and excluded the former TBVC states.
BACKGROUND
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Since ‘Freedom Day’ in 1994, Statistics South Africa has conducted Censuses of Commercial Agriculture (Farming) for 2002 and 2007. The 2012 Census of Commercial Agriculture was not funded and as such didn’t take place This is part of FAO’s WCA 2020 (World Programme for the Census of Agriculture) which encourages countries to conduct agricultural censuses between January 1st, 2016 and December 31st, 2025.
BACKGROUND
AGRICULTURAL PLANNING:
contributing to the development of policies on food security or gender issues, and promoting agricultural production and investments, economic growth, rural development, etc.
RESEARCH, INVESTMENT & BUSINESS DECISIONS:
providing crucial data for the research and appraisal of the composition, distribution and past and prospective growth of the sector.
AGRICULTURE AND THE ENVIRONMENT
helps decision-makers and planner when adopting measures to mitigate adverse effects;
FOOD SECURITY
providing data for assessing severity of food insecurity
IMPORTANCE OF THE CENSUS OF AGRICULTURE (FAO)
WORK IN AGRICULTURE
supporting labour and other social policies related to the quality of employment through the provision of data on status in employment of main job and on forms of payment on an annual basis;
THE ROLE OF GENDER
providing gender disaggregated data to help monitor progress towards achieving gender equality goals.
BASELINE DATA FOR M&E
helps giving detailed structural data for small geographic areas
CONTRIBUTION OF AGRICULTURE IN NATIONAL ACCOUNTS
information to define structural components of the national accounts, data as inputs of the System of Environmental- Economic Accounting (SEEA), or for benchmarking (establishment of base year ) national accounts.
IMPORTANCE OF THE CENSUS OF AGRICULTURE (FAO)
Crop production Livestock farming
SCOPE AND COVERAGE (COCA 2017)
Fisheries
(including marine aquaculture)
Game farming and Forestry
The census of commercial agriculture will cover commercial farming (for profit) in crop production, livestock farming, fisheries and forestry as classified by the 1993 Standard Industrial Classification of all Economic Activities (SIC).
Stats SA’a business register (BR) will the be main frame (list) . The business register is based mainly
- n the value-added tax (VAT) register of the South African Revenue Service (SARS).
Area/ geographic frame will be used to improve coverage. SCOPE AND COVERAGE (COCA 2017)
General information, Land use by composition and area of the farm/forest Field and horticultural crops: Area planted and production by this farm Animals (livestock, game, poultry, bee-hives) sold Forest produce Ocean (marine) fishing Sale of livestock, poultry and game products and processed produce Employment Income and expenditure Details of purchases Carrying value of assets Details of the principal farm manager/ operator
DATA ITEMS
Data Collection And Dissemination
Publicity will be conducted through local farmers’ associations, security firms and police stations and also at farm level.
Fieldworkers will visit farms to conduct interviews using tablets. A fieldworker will be identified by wearing bibs with Stats SA logo, ID cards and cars branded with Stats SA logo. As safety is important, farmers can direct their queries
- Tel: 0800 212 169 (toll-free
number)
- e-mail is:
agriculture@statssa.gov.za
Data Collection And Dissemination
Overall, Stats SA will be observe the Farmers’ Protocol as agreed with
- rganised agriculture.
“We count because Farmers Count” “Ons tel omdat die Boere tel”
Begin field data collection End field data collection Follow-up collection begin Results will then be published
Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2019
Data Collection And Dissemination