Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Botswana

Botswana: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 2,916 million SLC in 2023. ▲ Rising

Latest (2023)
2,916 million SLC
Change on year
up 2.9%
World rank
134th
of 179 countries
All-time high
2,916 million SLC
in 2023
All-time low
663.94 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Botswana, 1995–2023

5001.0k1.5k2.0k2.5k3.0k1995200920231995: 663.9 million SLC1996: 770.9 million SLC1997: 862.2 million SLC1998: 874.6 million SLC1999: 857.1 million SLC2000: 866.5 million SLC2001: 943.5 million SLC2002: 988.1 million SLC2003: 1.4k million SLC2004: 1.4k million SLC2005: 1.4k million SLC2006: 1.4k million SLC2007: 1.5k million SLC2008: 1.5k million SLC2009: 1.6k million SLC2010: 1.6k million SLC2011: 1.7k million SLC2012: 1.8k million SLC2013: 1.9k million SLC2014: 2.0k million SLC2015: 2.1k million SLC2016: 2.2k million SLC2017: 2.3k million SLC2018: 2.4k million SLC2019: 2.6k million SLC2020: 2.7k million SLC2021: 2.7k million SLC2022: 2.8k million SLC2023: 2.9k million SLC

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value in Botswana stood at 2,916 million SLC. That is the highest value across all 29 years on record.

The figure is up 2.9% on the previous year and up 52.1% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Botswana peaked at 2,916 million SLC in 2023 and was at its lowest, 663.94 million SLC, in 1995.

Botswana ranks 134th of 179 countries on this measure, 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 Botswana, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Botswana, 1995 to 2023.
Year million SLC Change
1995 663.94 million SLC
1996 770.87 million SLC +16.1%
1997 862.23 million SLC +11.9%
1998 874.56 million SLC +1.4%
1999 857.06 million SLC -2.0%
2000 866.49 million SLC +1.1%
2001 943.52 million SLC +8.9%
2002 988.08 million SLC +4.7%
2003 1,359 million SLC +37.5%
2004 1,363 million SLC +0.3%
2005 1,368 million SLC +0.4%
2006 1,399 million SLC +2.2%
2007 1,469 million SLC +5.0%
2008 1,546 million SLC +5.2%
2009 1,593 million SLC +3.1%
2010 1,640 million SLC +2.9%
2011 1,696 million SLC +3.4%
2012 1,806 million SLC +6.5%
2013 1,918 million SLC +6.2%
2014 2,013 million SLC +4.9%
2015 2,101 million SLC +4.4%
2016 2,217 million SLC +5.5%
2017 2,323 million SLC +4.8%
2018 2,446 million SLC +5.3%
2019 2,561 million SLC +4.7%
2020 2,682 million SLC +4.7%
2021 2,750 million SLC +2.5%
2022 2,835 million SLC +3.1%
2023 2,916 million SLC +2.9%

Averages by decade

DecadeAverage LowestHighest Years
1990s 805.73 million SLC 663.94 million SLC 874.56 million SLC 5
2000s 1,289 million SLC 866.49 million SLC 1,593 million SLC 10
2010s 2,072 million SLC 1,640 million SLC 2,561 million SLC 10
2020s 2,796 million SLC 2,682 million SLC 2,916 million SLC 4

Countries ranked near Botswana

  1. 131 Slovenia 3,528 million SLC compare
  2. 132 Estonia 3,491 million SLC compare
  3. 133 El Salvador 3,281 million SLC compare
  4. 135 Luxembourg 2,598 million SLC compare
  5. 136 Maldives 2,566 million SLC compare
  6. 137 Croatia 2,504 million SLC compare

See the full ranking of 192 places →

More environment data for Botswana

All data for Botswana →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Botswana?
Net capital stocks (agriculture, forestry and fishing) — value in Botswana was 2,916 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 Botswana?
The highest recorded value was 2,916 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Botswana?
The lowest recorded value was 663.94 million SLC in 1995.
How does Botswana rank for net capital stocks (agriculture, forestry and fishing) — value?
Botswana ranks 134th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Botswana?
Over the last ten years it is up 52.1%. The long-run trend across the full record is rising.
Where does this Botswana 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.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Botswana. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 07 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/botswana/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
192 places, 5,493 data points, 1995–2023
Last refreshed

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.