Value Added (Agriculture, Forestry and Fishing) — Value Standard in Uganda
Uganda: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 50.81 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Uganda, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Uganda stood at 50.81 million million SLC. That is the highest value across all 55 years on record.
The figure is up 13.4% on the previous year and up 139.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Uganda peaked at 50.81 million million SLC in 2024 and was at its lowest, 44.03 million SLC, in 1970.
Uganda ranks 9th of 199 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Uganda, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 44.03 million SLC | — |
| 1971 | 48.71 million SLC | +10.6% |
| 1972 | 52.94 million SLC | +8.7% |
| 1973 | 60.89 million SLC | +15.0% |
| 1974 | 74.94 million SLC | +23.1% |
| 1975 | 105.45 million SLC | +40.7% |
| 1976 | 124.02 million SLC | +17.6% |
| 1977 | 227.65 million SLC | +83.6% |
| 1978 | 301.93 million SLC | +32.6% |
| 1979 | 445.63 million SLC | +47.6% |
| 1980 | 838.07 million SLC | +88.1% |
| 1981 | 1,514 million SLC | +80.7% |
| 1982 | 2,104 million SLC | +38.9% |
| 1983 | 3,424 million SLC | +62.7% |
| 1984 | 5,030 million SLC | +46.9% |
| 1985 | 14,486 million SLC | +188.0% |
| 1986 | 35,380 million SLC | +144.2% |
| 1987 | 127,884 million SLC | +261.5% |
| 1988 | 346,018 million SLC | +170.6% |
| 1989 | 656,510 million SLC | +89.7% |
| 1990 | 802,027 million SLC | +22.2% |
| 1991 | 1.07 million million SLC | +33.0% |
| 1992 | 1.86 million million SLC | +74.6% |
| 1993 | 1.79 million million SLC | -3.9% |
| 1994 | 2.47 million million SLC | +37.9% |
| 1995 | 2.58 million million SLC | +4.8% |
| 1996 | 2.53 million million SLC | -2.1% |
| 1997 | 2.78 million million SLC | +9.7% |
| 1998 | 2.95 million million SLC | +6.1% |
| 1999 | 3.18 million million SLC | +8.0% |
| 2000 | 3.31 million million SLC | +3.9% |
| 2001 | 3.41 million million SLC | +3.1% |
| 2002 | 3.33 million million SLC | -2.4% |
| 2003 | 4.12 million million SLC | +23.7% |
| 2004 | 4.36 million million SLC | +6.0% |
| 2005 | 5.31 million million SLC | +21.7% |
| 2006 | 5.64 million million SLC | +6.3% |
| 2007 | 5.98 million million SLC | +6.0% |
| 2008 | 7.54 million million SLC | +26.0% |
| 2009 | 18.65 million million SLC | +147.5% |
| 2010 | 18.52 million million SLC | -0.7% |
| 2011 | 19.90 million million SLC | +7.4% |
| 2012 | 20.09 million million SLC | +1.0% |
| 2013 | 19.55 million million SLC | -2.7% |
| 2014 | 21.20 million million SLC | +8.5% |
| 2015 | 21.39 million million SLC | +0.9% |
| 2016 | 25.24 million million SLC | +18.0% |
| 2017 | 26.15 million million SLC | +3.6% |
| 2018 | 29.15 million million SLC | +11.4% |
| 2019 | 32.98 million million SLC | +13.2% |
| 2020 | 35.05 million million SLC | +6.3% |
| 2021 | 36.97 million million SLC | +5.5% |
| 2022 | 42.16 million million SLC | +14.0% |
| 2023 | 44.79 million million SLC | +6.2% |
| 2024 | 50.81 million million SLC | +13.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 148.62 million SLC | 44.03 million SLC | 445.63 million SLC | 10 |
| 1980s | 119,319 million SLC | 838.07 million SLC | 656,510 million SLC | 10 |
| 1990s | 2.20 million million SLC | 802,027 million SLC | 3.18 million million SLC | 10 |
| 2000s | 6.16 million million SLC | 3.31 million million SLC | 18.65 million million SLC | 10 |
| 2010s | 23.42 million million SLC | 18.52 million million SLC | 32.98 million million SLC | 10 |
| 2020s | 41.96 million million SLC | 35.05 million million SLC | 50.81 million million SLC | 5 |
Countries ranked near Uganda
More environment data for Uganda
- Historical exposure to drought — Land soil moisture anomaly -11.7 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -12.54 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.255 °C (2025)
- Temperature change 1.23 °C (2025)
- Newsprint — Import quantity, gaps filled 13,666 t (2024)
- Newsprint — Import quantity, annual growth rate 81.49 % change on previous year (2024)
- Newsprint — Import value, gaps filled 9,245 1000 USD (2024)
- Newsprint — Import value, annual growth rate 57.5 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate 107.56 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Uganda?
- Value added (agriculture, forestry and fishing) — value standard in Uganda was 50.81 million 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 Uganda?
- The highest recorded value was 50.81 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Uganda?
- The lowest recorded value was 44.03 million SLC in 1970.
- How does Uganda rank for value added (agriculture, forestry and fishing) — value standard?
- Uganda ranks 9th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Uganda?
- Over the last ten years it is up 139.6%. The long-run trend across the full record is volatile.
- Where does this Uganda 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.
Download this data
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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).