11 datasets found
  1. Data from: Erven

    • livingatlas-dcdev.opendata.arcgis.com
    Updated Nov 5, 2014
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    Esri South Africa (2014). Erven [Dataset]. https://livingatlas-dcdev.opendata.arcgis.com/datasets/esriza::erven/geoservice
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    Dataset updated
    Nov 5, 2014
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri South Africa
    Area covered
    Description

    Cadastral Parcels of South Africa including erven, holdings and farm portions

  2. W

    Land Cover in South Africa - AfriForum

    • cloud.csiss.gmu.edu
    .xlsx
    Updated Jul 15, 2021
    + more versions
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    Open Africa (2021). Land Cover in South Africa - AfriForum [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/land-cover-in-south-africa-afriforum
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    .xlsxAvailable download formats
    Dataset updated
    Jul 15, 2021
    Dataset provided by
    Open Africa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    Land data on South Africa by mining land per province, cultivated land, registered farm portions, state-controlled land, tribal land and arable land by province.

  3. Share of agricultural households in South Africa 2022, by province

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Share of agricultural households in South Africa 2022, by province [Dataset]. https://www.statista.com/statistics/1116075/share-of-agricultural-households-in-south-africa-by-province/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    As of 2022, 16.3 percent of the households in South Africa were involved in agricultural activities. Provinces with larger portions of rural areas, such as Limpopo (35.2 percent) and Mpumalanga (33.4 percent), were more likely to share large numbers of households involved in agricultural production. In contrast, relatively urbanized provinces, such as Gauteng (5.9 percent), which includes Johannesburg, and Western Cape (3.3 percent), which includes Cape Town, were less likely to be involved in such activities. Moreover, the share of households involved in agricultural activities dropped in all provinces except the Northern Cape, North West, and Western Cape compared to 2021.

  4. s

    MBCP Conservancies (Conservancies.shp)

    • metadata.sanbi.org
    Updated Feb 2017
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    Mpumalanga Tourism and Parks Agency (MTPA) (2017). MBCP Conservancies (Conservancies.shp) [Dataset]. https://metadata.sanbi.org/srv/api/records/01329164-7eb0-4097-aa48-38e5f6db2a50
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    www:link-1.0-http--link, www:link-1.0-http--relatedAvailable download formats
    Dataset updated
    Feb 2017
    Dataset provided by
    South African National Biodiversity Institutehttps://www.sanbi.org/
    Mpumalanga Tourism and Parks Agency (MTPA)
    Area covered
    Description

    The conservancy coverage was recently, and hastily compiled for information and display purposes. The MPB conservancy files are not always complete with farm portions and farm names that were required. Thus scribbled maps and field visit knowledge was used to compile the coverage.

  5. Land used for crop production in South Africa 2019, by tenure

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Land used for crop production in South Africa 2019, by tenure [Dataset]. https://www.statista.com/statistics/1116087/land-used-for-crop-production-in-south-africa-by-tenure/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    South Africa
    Description

    As of 2019, the majority of households in South Africa involved in agricultural activities owned the land they were using for crop production, amounting to approximately 1.47 million. Provinces with larger portions of rural areas, such as Limpopo, were more likely to share large numbers of households owning their land or occupying status of tribal authority. Just over 15 million households stated that they were not engaged in crop plantation at all.

  6. Agriculture sector as a share of GDP in Africa 2023, by country

    • statista.com
    Updated May 12, 2025
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    Statista (2025). Agriculture sector as a share of GDP in Africa 2023, by country [Dataset]. https://www.statista.com/statistics/1265139/agriculture-as-a-share-of-gdp-in-africa-by-country/
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    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Africa
    Description

    As of 2023, Niger registered the agricultural sector's highest contribution to the GDP in Africa, at over ** percent. Comoros and Ethiopia followed, with agriculture, forestry, and fishing accounting for approximately ** percent and ** percent of the GDP, respectively. On the other hand, Botswana, Djibouti, Libya, Zambia, and South Africa were the African countries with the lowest percentage of the GDP generated by the agricultural sector. Agriculture remains a pillar of Africa’s economy Despite the significant variations across countries, agriculture is a key sector in Africa. In 2022, it represented around ** percent of Sub-Saharan Africa’s GDP, growing by over *** percentage points compared to 2011. The agricultural industry also strongly contributes to the continent’s job market. The number of people employed in the primary sector in Africa grew from around *** million in 2011 to *** million in 2021. In proportion, agriculture employed approximately ** percent of Africa’s working population in 2021. Agricultural activities attracted a large share of the labor force in Central, East, and West Africa, which registered percentages over the regional average. On the other hand, North Africa recorded the lowest share of employment in agriculture, as the regional economy relies significantly on the industrial and service sectors. Cereals are among the most produced crops Sudan and South Africa are the African countries with the largest agricultural areas. Respectively, they devote around *** million and **** million hectares of land to growing crops. Agricultural production varies significantly across African countries in terms of products and volume. Cereals such as rice, corn, and wheat are among the main crops on the continent, also representing a staple in most countries. The leading cereal producers are Ethiopia, Nigeria, Egypt, and South Africa. Together, they recorded a cereal output of almost *** million metric tons in 2021. Additionally, rice production was concentrated in Nigeria, Egypt, Madagascar, and Tanzania.

  7. d

    Agronomic Survey to Estimate Actual Yield Obtained by Farmers in Their Own...

    • search.dataone.org
    • dataone.org
    Updated Mar 15, 2024
    + more versions
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    International Center for Tropical Agriculture (CIAT); Selian Agricultural Research Institute (SARI) (2024). Agronomic Survey to Estimate Actual Yield Obtained by Farmers in Their Own Practices and Relation with Management Strategies [Dataset]. http://doi.org/10.7910/DVN/X6QS6M
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    Dataset updated
    Mar 15, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    International Center for Tropical Agriculture (CIAT); Selian Agricultural Research Institute (SARI)
    Description

    This study contains yield data of the two crops from tow representative sections of a field on plots 10m by 10m. Data taken on each of the plots included agronomic practices undertaken including plant spacing, pest and disease control, organic/inorganic fertilizer applications and field history according to a protocol implemented in AfSIS. Each field was geo-referenced. About the project Project title: Identification of the Key Biophysical Production Constraints to Crops and Livestock at Farm and Landscape Levels Project abstract This project will undertake soil survey to characterize two sentinel sites (Long and Matufa) and agronomic survey to estimate farmers' actual yield. Project website: http://africa-rising.net Project start date: 01/11/2012 Project end date : 01/10/2013

  8. Forage Machinery Market Analysis Europe, North America, APAC, South America,...

    • technavio.com
    Updated May 20, 2024
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    Technavio (2024). Forage Machinery Market Analysis Europe, North America, APAC, South America, Middle East and Africa - US, China, France, Germany, Italy - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/forage-machinery-market-industry-analysis
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    Dataset updated
    May 20, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Italy, Europe, France, China, United States, Germany, Global
    Description

    Snapshot img

    Forage Machinery Market Size 2024-2028

    The forage machinery market size is forecast to increase by USD 1.13 billion at a CAGR of 5.26% between 2023 and 2028. The market is experiencing significant growth due to the increasing focus on food security and the adoption of precision farming techniques. Advanced technology, such as high-capacity product variants and conditioners, is driving innovation in the market. One notable trend is the emergence of autonomous forage machinery, which offers increased efficiency and productivity. Raw materials, such as grasses, legumes, and other vegetation, are harvested using disc mowers and mower conditioners. However, the high initial investments required for forage machinery can be a challenge for some farmers. Despite this, the benefits of improved forage harvesting technology are compelling, making it an essential investment for many agricultural operations. This market analysis report provides a comprehensive examination of the key growth factors, trends, and challenges shaping the market.

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    The market plays a pivotal role in the agricultural sector of an agriculture-based country, facilitating the efficient production and processing of forage crops for livestock feed. Forage machinery, which includes mowers, balers, forage harvesters, rakes, tedders, feed mills, and related equipment, is integral to various farming activities. These machines ensure optimal cutting and conditioning of the crop, enhancing the overall quality of the forage. Balers and forage harvesters are then employed to collect and process the harvested material into bales or silage.

    Furthermore, blowers and storage boxes facilitate the efficient transfer and storage of the forage, while moisture sensors help monitor the moisture content to ensure optimal storage conditions. Tires are an essential component of forage machinery, ensuring mobility and durability during various agricultural activities. Farmers in the commercial agriculture sector rely on forage machinery to maintain a foothold in their operations. The machines enable them to meet the demand for livestock feed and contribute to the overall productivity of their farms. Crop insurance and farm machinery are essential investments for farmers, and forage machinery is a significant portion of their farm equipment arsenal.

    Moreover, the agricultural activities that involve forage machinery are diverse, ranging from dairy farming to beef cattle operations. The market growth is driven by the increasing demand for livestock products and the need for efficient farm operations. The market is expected to continue its importance in the agricultural sector, providing farmers with the tools they need to optimize their operations and maintain a competitive edge. In conclusion, the market is a crucial component of the agricultural sector, providing farmers with the necessary equipment to produce and process forage crops for livestock feed. The market includes various machines such as mowers, balers, forage harvesters, rakes, tedders, feed mills, and related equipment, all of which contribute to the overall efficiency and productivity of farming operations.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Self-propelled forage harvester
      Mounted-type forage harvester
    
    
    End-user
    
      Large farm
      Small
      medium farm
    
    
    Geography
    
      Europe
    
        Germany
        France
        Italy
    
    
      North America
    
        US
    
    
      APAC
    
        China
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Product Insights

    The self-propelled forage harvester segment is estimated to witness significant growth during the forecast period. Self-propelled forage harvesters play a significant role in the efficient and productive harvesting of forage crops on farms. These machines are engineered for speed, enabling farmers to process large quantities of raw materials in a short time. By automating harvesting tasks such as cutting, chopping, and loading, self-propelled forage harvesters reduce the need for manual labor, making farming operations more streamlined. Advancements in technology continue to drive demand for modern forage machinery. Features like precision farming capabilities, GPS guidance systems, auto-steering, and onboard diagnostics enhance performance, accuracy, and ease of use. Self-propelled forage harvesters are increasingly popular among farmers seeking advanced machinery solutions to optimize their operations.

    Moreover, self-propelled forage harvesters are essential for feed mills, ensuring a consistent supply of high-quality forage materials. By investing in these machines, farmers can improve

  9. c

    Data from: Barking up the wrong tree : characterizing farmers, farms, and a...

    • esango.cput.ac.za
    xlsx
    Updated Jun 20, 2024
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    Craig Bruce Glatthaar; Sjirk Geerts (2024). Barking up the wrong tree : characterizing farmers, farms, and a behavioural framework regarding livestock guardian dog use in South Africa. [Dataset]. http://doi.org/10.25381/cput.20071799.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cape Peninsula University of Technology
    Authors
    Craig Bruce Glatthaar; Sjirk Geerts
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    Ethics was granted under the Cape Peninsula University of Technology (201016974/01/2020) and Nottingham Trent University (#ARE192039). Even though Livestock Guardian Dogs (LGDs) have shown to be an effective form of reducing livestock predation (Coppinger, 1988; Green and Woodruff, 1988; Marker et al., 2005; Rust et al., 2013; Potgieter et al., 2015; Eklund et al., 2017; Whitehouse-Tedd et al., 2019; Marker et al., 2020; Spencer et al., 2020), not all landholders use LGDs. This study aims to understand the factors that determine or influence LGD use and to design a framework to understand the drivers behind LGD use by landholders in South Africa. The dataset is a survey response comprising of 128 questionnaire items for two stakeholder groups being, livestock farmers using LGDs and those not using LGDs. The questionnaire was divided into the following nine sections: (1) A series of sociodemographic factors, (2) the type and number of farming enterprises and size of the livestock herd and/or flocks, (3) the livestock depredation mitigation methods, (4) the predator type and factors relating to predators, (5) tangible and intangible costs of predators, (6) Wildlife Tolerance Model (WTM) variables (Kansky et al., 2016), (7) Wildlife Value Orientation (WVO) variables (Teel et al., 2010), (8) perspective-taking aspects of empathy and finally, (9) awareness amongst farmers of seven organizations related to depredation management. Of these organizations, two are focused on LGD placement and management, and the other five organizations are general farming support organizations which include some depredation management and mitigation. Both commercial and subsistence farms from eight of the nine provinces were recorded – no participants from Gauteng as no livestock farmers were included in this province – in South Africa. Participants were selected based primarily on predator related interaction as opposed to geography or sociodemographic variables. Participants were informed that the survey was to be utilized in understanding the use of mitigation methods in a HWC context. In the case of LGD users, participants were informed that this was a LGD mitigation method focused study. Farmers not using LGDs as a mitigation method were then investigated as to the other lethal and/or non-lethal mitigation methods they were using. Due to restrictions and challenges posed by COVID with in-person questionnaires, I designed an online questionnaire using the software alchemer (https://www.alchemer.com/). Alchemer allows for advanced coding enabling target question-based display logic and the validation of questions based on certain selection criteria. All 113 completed responses were answered on the online platform. Attempts to reduce non-response bias included the anonymization of data and follow-up communication with non-responders. Although all participants gave signed consent for the use of their anonymized data, please note that due to the Protection of Personal Information Act (POPI), this is sensitive and private data that should not be shared publicly.

  10. A

    Africa Feed Additive Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 25, 2025
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    Market Report Analytics (2025). Africa Feed Additive Market Report [Dataset]. https://www.marketreportanalytics.com/reports/africa-feed-additive-market-106609
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Africa
    Variables measured
    Market Size
    Description

    The African feed additive market presents a compelling growth opportunity, driven by the continent's expanding livestock and aquaculture sectors. Rising consumer demand for animal protein, coupled with increasing government initiatives to improve agricultural productivity and food security, fuels market expansion. While precise figures for market size and CAGR are unavailable, a reasonable estimation based on global trends and the burgeoning African agricultural sector suggests a substantial market value, potentially exceeding $1 billion by 2025, with a CAGR of 5-7% projected for 2025-2033. This growth is underpinned by several factors: the increasing adoption of intensive farming practices, the need for improved animal health and productivity, and the rising awareness of the benefits of feed additives in enhancing feed efficiency and nutrient utilization. Key segments like amino acids, vitamins, and prebiotics are experiencing particularly strong growth due to their essential role in optimizing animal health and feed conversion ratios. Further driving this growth is increased investment in research and development of novel and sustainable feed additives tailored to African livestock species and farming conditions. However, challenges remain. Infrastructure limitations, particularly in transportation and storage, can hinder the efficient distribution of feed additives across diverse and sometimes remote regions. Moreover, affordability and accessibility remain significant barriers for many smallholder farmers, who constitute a substantial portion of the agricultural sector. Addressing these logistical and economic constraints is crucial for unlocking the full potential of the African feed additive market. Furthermore, regulatory frameworks for feed additives need consistent development and enforcement to ensure the quality, safety and efficacy of products. Overcoming these hurdles through targeted investments in infrastructure, accessible financing solutions, and robust regulatory frameworks will be key to ensuring sustainable growth across the diverse regions of Africa. Recent developments include: December 2022: Adisseo group had agreed to acquire Nor-Feed and its subsidiaries to develop and register botanical additives for use in animal feed.November 2022: Kemin Industries introduced Toxfin Care, a solution that protects feed from mycotoxins. It strengthens the immune system, protects organs, and prevents loss of performance and productivity.October 2022: The partnership between Evonik and BASF allowed Evonik certain non-exclusive licensing rights to OpteinicsTM, a digital solution to improve comprehension and reduce the environmental impact of the animal protein and feed industries.. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  11. s

    Data from: Invasive management plan for Oubosstrand and Protea Farm

    • scholardata.sun.ac.za
    • zenodo.org
    bin
    Updated Oct 28, 2023
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    Louise Du Preez (2023). Invasive management plan for Oubosstrand and Protea Farm [Dataset]. http://doi.org/10.25413/sun.24358981.v1
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    binAvailable download formats
    Dataset updated
    Oct 28, 2023
    Dataset provided by
    SUNScholarData
    Authors
    Louise Du Preez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The human population is growing rapidly and progressively more natural landscapes are altered to provide area for food production and housing. Only recently scientists and conservationists have come to realise that there is an immediate threat to earth's biodiversity. Invasive aliens are now recognized as the second most significant threat to biodiversity following direct habitat destruction. Most invasive plants were imported for seemingly valid reasons, such as dune stabilization, commercial forestry, horticulture, garden plants and fodder. The indigenous forests in South Africa, at George and Knysna, were heavily exploited for timber for approximately 200 years. Only later did the government, of the time, realized that the forests were disappearing under the onslaught. There occurred a great need to conserve and effectively manage the remaining forest areas. Thus fast growing alien timber species were planted at large scale to replace the harvesting of indigenous trees. Many of these timber species are now invading the natural areas around the plantations. We are only now starting to identify the consequences of past ignorance and neglect. Oubos-Grootriver Natuurresevaat Aandeleblok (Pty) Ltd, consists of Oubosstrand (holiday resort) and the farm called Protea. It is situated on the coast of the Eastern Cape Province of South Africa. The Tsitsikamma National Park, boarders on the study site (to the west), and conserves a considerable portion of the natural biota of the Garden Route. The primary vegetation biomes consist of Mountain Fynbos, Coastal Fynbos and Afromontane Forest. Oubosstand is infested with Acacia cyclops (Rooikrans) and Protea farm is invaded by Acacia mearnsii (Black Wattle), Acacia melanoxylon (Blackwood), Acacia cyclops (Rooikrans), Pinus pinaster (Cluster Pine) and Hakea sericea (Silky Hakea). The integrated method (mechanical, chemical and biological) of controlling invasive alien plants is the most effective way to ensure long-term results.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Esri South Africa (2014). Erven [Dataset]. https://livingatlas-dcdev.opendata.arcgis.com/datasets/esriza::erven/geoservice
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Data from: Erven

Related Article
Explore at:
Dataset updated
Nov 5, 2014
Dataset provided by
Esrihttp://esri.com/
Authors
Esri South Africa
Area covered
Description

Cadastral Parcels of South Africa including erven, holdings and farm portions

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