Value Added (Agriculture, Forestry and Fishing) — Value Standard in Botswana
Botswana: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 3,065 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Botswana, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Botswana recorded 3,065 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
Compared with earlier readings it is down 0.3% on the previous year and up 11.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Botswana peaked at 3,112 million SLC in 2019 and was at its lowest, 1,019 million SLC, in 1970.
Botswana ranks 127th of 191 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Botswana, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1,019 million SLC | — |
| 1971 | 1,282 million SLC | +25.9% |
| 1972 | 1,619 million SLC | +26.3% |
| 1973 | 2,123 million SLC | +31.2% |
| 1974 | 2,331 million SLC | +9.8% |
| 1975 | 2,213 million SLC | -5.1% |
| 1976 | 2,285 million SLC | +3.2% |
| 1977 | 2,348 million SLC | +2.7% |
| 1978 | 2,391 million SLC | +1.8% |
| 1979 | 2,306 million SLC | -3.5% |
| 1980 | 2,249 million SLC | -2.5% |
| 1981 | 2,161 million SLC | -3.9% |
| 1982 | 2,070 million SLC | -4.2% |
| 1983 | 1,960 million SLC | -5.3% |
| 1984 | 1,708 million SLC | -12.9% |
| 1985 | 1,567 million SLC | -8.3% |
| 1986 | 1,631 million SLC | +4.1% |
| 1987 | 1,653 million SLC | +1.3% |
| 1988 | 2,111 million SLC | +27.7% |
| 1989 | 2,462 million SLC | +16.6% |
| 1990 | 2,539 million SLC | +3.2% |
| 1991 | 2,599 million SLC | +2.3% |
| 1992 | 2,612 million SLC | +0.5% |
| 1993 | 2,548 million SLC | -2.4% |
| 1994 | 2,469 million SLC | -3.1% |
| 1995 | 2,998 million SLC | +21.4% |
| 1996 | 2,902 million SLC | -3.2% |
| 1997 | 2,700 million SLC | -6.9% |
| 1998 | 2,565 million SLC | -5.0% |
| 1999 | 2,785 million SLC | +8.6% |
| 2000 | 2,485 million SLC | -10.8% |
| 2001 | 2,669 million SLC | +7.4% |
| 2002 | 2,047 million SLC | -23.3% |
| 2003 | 2,382 million SLC | +16.4% |
| 2004 | 2,322 million SLC | -2.5% |
| 2005 | 2,176 million SLC | -6.3% |
| 2006 | 2,351 million SLC | +8.1% |
| 2007 | 2,639 million SLC | +12.2% |
| 2008 | 2,691 million SLC | +2.0% |
| 2009 | 2,862 million SLC | +6.4% |
| 2010 | 3,029 million SLC | +5.8% |
| 2011 | 3,034 million SLC | +0.2% |
| 2012 | 2,775 million SLC | -8.5% |
| 2013 | 2,812 million SLC | +1.3% |
| 2014 | 2,748 million SLC | -2.3% |
| 2015 | 2,669 million SLC | -2.8% |
| 2016 | 3,081 million SLC | +15.4% |
| 2017 | 2,811 million SLC | -8.8% |
| 2018 | 3,038 million SLC | +8.1% |
| 2019 | 3,112 million SLC | +2.4% |
| 2020 | 3,030 million SLC | -2.7% |
| 2021 | 2,998 million SLC | -1.0% |
| 2022 | 3,034 million SLC | +1.2% |
| 2023 | 3,073 million SLC | +1.3% |
| 2024 | 3,065 million SLC | -0.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,992 million SLC | 1,019 million SLC | 2,391 million SLC | 10 |
| 1980s | 1,957 million SLC | 1,567 million SLC | 2,462 million SLC | 10 |
| 1990s | 2,672 million SLC | 2,469 million SLC | 2,998 million SLC | 10 |
| 2000s | 2,462 million SLC | 2,047 million SLC | 2,862 million SLC | 10 |
| 2010s | 2,911 million SLC | 2,669 million SLC | 3,112 million SLC | 10 |
| 2020s | 3,040 million SLC | 2,998 million SLC | 3,073 million SLC | 5 |
Countries ranked near Botswana
More environment data for Botswana
- Historical exposure to drought — Land soil moisture anomaly 6.04 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 6.49 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.381 °C (2025)
- Temperature change 0.443 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate -21.89 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0085 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 0.335 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Botswana?
- Value added (agriculture, forestry and fishing) — value standard in Botswana was 3,065 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Botswana?
- The highest recorded value was 3,112 million SLC in 2019.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Botswana?
- The lowest recorded value was 1,019 million SLC in 1970.
- How does Botswana rank for value added (agriculture, forestry and fishing) — value standard?
- Botswana ranks 127th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Botswana?
- Over the last ten years it is up 11.6%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).