Value Added (Agriculture) … Forestry Fishing Standard Local Currency in Botswana

Botswana: Value Added (Agriculture) … Forestry Fishing Standard Local Currency was 4,277 million SLC in 2024. ◆ Volatile

Latest (2024)
4,277 million SLC
Change on year
up 2.6%
World rank
160th
of 228 countries
All-time high
4,277 million SLC
in 2024
All-time low
18.79 million SLC
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Botswana, 1970–2024

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

Analysis

Botswana recorded 4,277 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 2.6% on the previous year and up 69.3% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Botswana peaked at 4,277 million SLC in 2024 and was at its lowest, 18.79 million SLC, in 1970.

Botswana ranks 160th of 228 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Value Added (Agriculture) … Forestry Fishing Standard Local Currency in Botswana, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Botswana, 1970 to 2024.
Year million SLC Change
1970 18.79 million SLC —
1971 24.74 million SLC +31.6%
1972 34.65 million SLC +40.1%
1973 46.3 million SLC +33.6%
1974 54.6 million SLC +17.9%
1975 59.77 million SLC +9.5%
1976 65.46 million SLC +9.5%
1977 72.19 million SLC +10.3%
1978 77.61 million SLC +7.5%
1979 81.18 million SLC +4.6%
1980 87.19 million SLC +7.4%
1981 94.6 million SLC +8.5%
1982 100.33 million SLC +6.1%
1983 96.99 million SLC -3.3%
1984 92.7 million SLC -4.4%
1985 100.43 million SLC +8.3%
1986 113.48 million SLC +13.0%
1987 124.82 million SLC +10.0%
1988 186.08 million SLC +49.1%
1989 264.5 million SLC +42.1%
1990 289.67 million SLC +9.5%
1991 315.82 million SLC +9.0%
1992 365.97 million SLC +15.9%
1993 411.57 million SLC +12.5%
1994 429.5 million SLC +4.4%
1995 608.2 million SLC +41.6%
1996 594.8 million SLC -2.2%
1997 649.3 million SLC +9.2%
1998 641.1 million SLC -1.3%
1999 758.5 million SLC +18.3%
2000 825.3 million SLC +8.8%
2001 830.63 million SLC +0.6%
2002 805.03 million SLC -3.1%
2003 945.45 million SLC +17.4%
2004 861.08 million SLC -8.9%
2005 808.46 million SLC -6.1%
2006 1,006 million SLC +24.4%
2007 1,250 million SLC +24.3%
2008 1,568 million SLC +25.4%
2009 1,720 million SLC +9.7%
2010 1,795 million SLC +4.4%
2011 2,189 million SLC +22.0%
2012 2,460 million SLC +12.3%
2013 2,390 million SLC -2.9%
2014 2,527 million SLC +5.7%
2015 2,669 million SLC +5.7%
2016 3,249 million SLC +21.7%
2017 3,070 million SLC -5.5%
2018 3,678 million SLC +19.8%
2019 3,748 million SLC +1.9%
2020 3,784 million SLC +1.0%
2021 3,718 million SLC -1.7%
2022 3,971 million SLC +6.8%
2023 4,170 million SLC +5.0%
2024 4,277 million SLC +2.6%

Botswana compared with similar countries

  • Botswana's 4,277 million SLC is below the median for upper middle income countries, which is 60,675 million SLC, 7% of the median. (54 countries reporting)
  • Botswana's 4,277 million SLC is below the median for Sub-Saharan Africa, which is 778,515 million SLC, 1% of the median. (45 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1970s 53.53 million SLC 18.79 million SLC 81.18 million SLC 10
1980s 126.11 million SLC 87.19 million SLC 264.5 million SLC 10
1990s 506.44 million SLC 289.67 million SLC 758.5 million SLC 10
2000s 1,062 million SLC 805.03 million SLC 1,720 million SLC 10
2010s 2,777 million SLC 1,795 million SLC 3,748 million SLC 10
2020s 3,984 million SLC 3,718 million SLC 4,277 million SLC 5

Countries ranked near Botswana

  1. 157 Solomon Islands 4,975 million SLC compare
  2. 158 Georgia 4,930 million SLC compare
  3. 159 Belgium 4,917 million SLC compare
  4. 161 Bulgaria 4,190 million SLC compare
  5. 162 Greenland 3,871 million SLC compare
  6. 163 Maldives 3,271 million SLC compare

See the full ranking of 229 places →

More environment data for Botswana

All data for Botswana →

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 4,277 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 4,277 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Botswana?
The lowest recorded value was 18.79 million SLC in 1970.
How does Botswana rank for value added (agriculture, forestry and fishing) — value standard?
Botswana ranks 160th out of 228 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 69.3%. The long-run trend across the full record is volatile.
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. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Botswana. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 October 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/botswana/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
229 places, 11,592 data points, 1970–2024
Last refreshed

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).