Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in South Africa
South Africa: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 306,591 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in South Africa, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
South Africa recorded 306,591 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the highest value across all 29 years on record.
The figure is up 3.2% on the previous year and up 14.5% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in South Africa peaked at 306,591 million SLC in 2023 and was at its lowest, 242,180 million SLC, in 2001.
That places South Africa 60th out of 179 countries with data for 2023, putting it in the middle of the range.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in South Africa, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 244,081 million SLC | — |
| 1996 | 246,838 million SLC | +1.1% |
| 1997 | 247,693 million SLC | +0.3% |
| 1998 | 246,586 million SLC | -0.4% |
| 1999 | 244,830 million SLC | -0.7% |
| 2000 | 243,048 million SLC | -0.7% |
| 2001 | 242,180 million SLC | -0.4% |
| 2002 | 244,872 million SLC | +1.1% |
| 2003 | 246,978 million SLC | +0.9% |
| 2004 | 249,342 million SLC | +1.0% |
| 2005 | 251,660 million SLC | +0.9% |
| 2006 | 252,784 million SLC | +0.4% |
| 2007 | 253,303 million SLC | +0.2% |
| 2008 | 255,089 million SLC | +0.7% |
| 2009 | 255,142 million SLC | +0.0% |
| 2010 | 254,475 million SLC | -0.3% |
| 2011 | 257,416 million SLC | +1.2% |
| 2012 | 261,484 million SLC | +1.6% |
| 2013 | 267,701 million SLC | +2.4% |
| 2014 | 270,633 million SLC | +1.1% |
| 2015 | 273,231 million SLC | +1.0% |
| 2016 | 274,715 million SLC | +0.5% |
| 2017 | 278,196 million SLC | +1.3% |
| 2018 | 281,277 million SLC | +1.1% |
| 2019 | 283,288 million SLC | +0.7% |
| 2020 | 286,479 million SLC | +1.1% |
| 2021 | 290,248 million SLC | +1.3% |
| 2022 | 297,082 million SLC | +2.4% |
| 2023 | 306,591 million SLC | +3.2% |
South Africa compared with similar countries
- South Africa's 306,591 million SLC is above the median for upper middle income countries, which is 67,834 million SLC, 4.5× the median. (50 countries reporting)
- South Africa's 306,591 million SLC is below the median for Sub-Saharan Africa, which is 371,025 million SLC, 83% of the median. (42 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 246,006 million SLC | 244,081 million SLC | 247,693 million SLC | 5 |
| 2000s | 249,440 million SLC | 242,180 million SLC | 255,142 million SLC | 10 |
| 2010s | 270,242 million SLC | 254,475 million SLC | 283,288 million SLC | 10 |
| 2020s | 295,100 million SLC | 286,479 million SLC | 306,591 million SLC | 4 |
Countries ranked near South Africa
More environment data for South Africa
- Historical exposure to drought — Land soil moisture anomaly 5.46 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 8.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.275 °C (2025)
- Temperature change 1.05 °C (2025)
- Nutrient nitrogen N (total) — Export quantity, gaps filled 172,469 t (2024)
- Nutrient nitrogen N (total) — Agricultural Use, gaps filled 640,129 t (2024)
- Nutrient nitrogen N (total) — Agricultural Use, annual growth rate 10.74 % change on previous year (2024)
- Nutrient phosphate P2O5 (total) — Import quantity, gaps filled 187,679 t (2024)
- Nutrient phosphate P2O5 (total) — Import quantity, annual growth rate 35.24 % change on previous year (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in South Africa?
- Net capital stocks (agriculture, forestry and fishing) — value in South Africa was 306,591 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in South Africa?
- The highest recorded value was 306,591 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in South Africa?
- The lowest recorded value was 242,180 million SLC in 2001.
- How does South Africa rank for net capital stocks (agriculture, forestry and fishing) — value?
- South Africa ranks 60th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in South Africa?
- Over the last ten years it is up 14.5%. The long-run trend across the full record is rising.
- Where does this South Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.