Value Added (Agriculture, Forestry and Fishing) — Value US$ in Eastern Africa
Eastern Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 157,643 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Eastern Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$ in Eastern Africa stood at 157,643 million USD. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 11.8% on the previous year and up 107.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Eastern Africa peaked at 157,643 million USD in 2024 and was at its lowest, 5,961 million USD, in 1970.
That places Eastern Africa 15th out of 29 groups with data for 2024, putting it 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 and Fishing) — Value US$ in Eastern Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 5,961 million USD | — |
| 1971 | 6,529 million USD | +9.5% |
| 1972 | 7,370 million USD | +12.9% |
| 1973 | 8,227 million USD | +11.6% |
| 1974 | 9,785 million USD | +18.9% |
| 1975 | 10,553 million USD | +7.8% |
| 1976 | 11,205 million USD | +6.2% |
| 1977 | 12,455 million USD | +11.2% |
| 1978 | 13,188 million USD | +5.9% |
| 1979 | 14,317 million USD | +8.6% |
| 1980 | 15,798 million USD | +10.3% |
| 1981 | 16,415 million USD | +3.9% |
| 1982 | 16,895 million USD | +2.9% |
| 1983 | 17,303 million USD | +2.4% |
| 1984 | 16,398 million USD | -5.2% |
| 1985 | 19,884 million USD | +21.3% |
| 1986 | 20,595 million USD | +3.6% |
| 1987 | 17,180 million USD | -16.6% |
| 1988 | 18,398 million USD | +7.1% |
| 1989 | 18,836 million USD | +2.4% |
| 1990 | 20,392 million USD | +8.3% |
| 1991 | 21,122 million USD | +3.6% |
| 1992 | 18,638 million USD | -11.8% |
| 1993 | 17,774 million USD | -4.6% |
| 1994 | 16,908 million USD | -4.9% |
| 1995 | 18,336 million USD | +8.4% |
| 1996 | 20,939 million USD | +14.2% |
| 1997 | 22,576 million USD | +7.8% |
| 1998 | 21,735 million USD | -3.7% |
| 1999 | 21,101 million USD | -2.9% |
| 2000 | 20,898 million USD | -1.0% |
| 2001 | 20,492 million USD | -1.9% |
| 2002 | 20,377 million USD | -0.6% |
| 2003 | 21,672 million USD | +6.4% |
| 2004 | 23,430 million USD | +8.1% |
| 2005 | 27,232 million USD | +16.2% |
| 2006 | 31,413 million USD | +15.4% |
| 2007 | 36,190 million USD | +15.2% |
| 2008 | 46,383 million USD | +28.2% |
| 2009 | 53,068 million USD | +14.4% |
| 2010 | 52,490 million USD | -1.1% |
| 2011 | 57,118 million USD | +8.8% |
| 2012 | 67,527 million USD | +18.2% |
| 2013 | 70,784 million USD | +4.8% |
| 2014 | 75,912 million USD | +7.2% |
| 2015 | 75,318 million USD | -0.8% |
| 2016 | 80,184 million USD | +6.5% |
| 2017 | 87,444 million USD | +9.1% |
| 2018 | 87,814 million USD | +0.4% |
| 2019 | 99,364 million USD | +13.2% |
| 2020 | 106,361 million USD | +7.0% |
| 2021 | 113,879 million USD | +7.1% |
| 2022 | 126,324 million USD | +10.9% |
| 2023 | 141,012 million USD | +11.6% |
| 2024 | 157,643 million USD | +11.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 9,959 million USD | 5,961 million USD | 14,317 million USD | 10 |
| 1980s | 17,770 million USD | 15,798 million USD | 20,595 million USD | 10 |
| 1990s | 19,952 million USD | 16,908 million USD | 22,576 million USD | 10 |
| 2000s | 30,116 million USD | 20,377 million USD | 53,068 million USD | 10 |
| 2010s | 75,395 million USD | 52,490 million USD | 99,364 million USD | 10 |
| 2020s | 129,044 million USD | 106,361 million USD | 157,643 million USD | 5 |
Countries ranked near Eastern Africa
More environment data for Eastern Africa
- Historical exposure to drought — Cropland soil moisture anomaly -5.98 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -7.18 Percentage change (2025)
- Temperature change 1.28 °C (2025)
- Standard Deviation 0.229 °C (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Exposure to drought — Land soil moisture anomaly -5.99 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -5.69 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value -0.3367 % change on previous year (2024)
- Total fibre furnish — Production, annual growth rate 0 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import -0.5287 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Eastern Africa?
- Value added (agriculture, forestry and fishing) — value us$ in Eastern Africa was 157,643 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$ recorded in Eastern Africa?
- The highest recorded value was 157,643 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Eastern Africa?
- The lowest recorded value was 5,961 million USD in 1970.
- How does Eastern Africa rank for value added (agriculture, forestry and fishing) — value us$?
- Eastern Africa ranks 15th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Eastern Africa?
- Over the last ten years it is up 107.7%. The long-run trend across the full record is volatile.
- Where does this Eastern Africa 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 US$. 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).