Value Added (Agriculture, Forestry and Fishing) — Value Standard in Kenya
Kenya: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 3.58 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Kenya, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Kenya recorded 3.58 million 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 8.7% on the previous year and up 225.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Kenya peaked at 3.58 million million SLC in 2024 and was at its lowest, 4,049 million SLC, in 1970.
Kenya ranks 35th of 199 countries on this measure, in the top quarter.
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 Kenya, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 4,049 million SLC | — |
| 1971 | 4,189 million SLC | +3.5% |
| 1972 | 4,915 million SLC | +17.3% |
| 1973 | 5,686 million SLC | +15.7% |
| 1974 | 6,742 million SLC | +18.6% |
| 1975 | 7,331 million SLC | +8.7% |
| 1976 | 9,829 million SLC | +34.1% |
| 1977 | 13,972 million SLC | +42.1% |
| 1978 | 13,342 million SLC | -4.5% |
| 1979 | 13,830 million SLC | +3.7% |
| 1980 | 14,723 million SLC | +6.5% |
| 1981 | 16,998 million SLC | +15.4% |
| 1982 | 20,653 million SLC | +21.5% |
| 1983 | 24,146 million SLC | +16.9% |
| 1984 | 26,746 million SLC | +10.8% |
| 1985 | 29,284 million SLC | +9.5% |
| 1986 | 34,320 million SLC | +17.2% |
| 1987 | 36,168 million SLC | +5.4% |
| 1988 | 41,408 million SLC | +14.5% |
| 1989 | 46,119 million SLC | +11.4% |
| 1990 | 49,572 million SLC | +7.5% |
| 1991 | 51,948 million SLC | +4.8% |
| 1992 | 59,766 million SLC | +15.1% |
| 1993 | 78,896 million SLC | +32.0% |
| 1994 | 94,736 million SLC | +20.1% |
| 1995 | 124,488 million SLC | +31.4% |
| 1996 | 134,235 million SLC | +7.8% |
| 1997 | 151,300 million SLC | +12.7% |
| 1998 | 167,448 million SLC | +10.7% |
| 1999 | 184,913 million SLC | +10.4% |
| 2000 | 196,958 million SLC | +6.5% |
| 2001 | 198,478 million SLC | +0.8% |
| 2002 | 187,071 million SLC | -5.7% |
| 2003 | 204,015 million SLC | +9.1% |
| 2004 | 221,917 million SLC | +8.8% |
| 2005 | 239,754 million SLC | +8.0% |
| 2006 | 269,925 million SLC | +12.6% |
| 2007 | 312,884 million SLC | +15.9% |
| 2008 | 389,374 million SLC | +24.4% |
| 2009 | 532,455 million SLC | +36.7% |
| 2010 | 632,023 million SLC | +18.7% |
| 2011 | 786,495 million SLC | +24.4% |
| 2012 | 897,649 million SLC | +14.1% |
| 2013 | 988,785 million SLC | +10.2% |
| 2014 | 1.10 million million SLC | +11.4% |
| 2015 | 1.34 million million SLC | +21.7% |
| 2016 | 1.52 million million SLC | +13.5% |
| 2017 | 1.77 million million SLC | +16.5% |
| 2018 | 1.90 million million SLC | +7.1% |
| 2019 | 2.14 million million SLC | +12.6% |
| 2020 | 2.43 million million SLC | +13.9% |
| 2021 | 2.58 million million SLC | +6.2% |
| 2022 | 2.84 million million SLC | +9.9% |
| 2023 | 3.30 million million SLC | +16.1% |
| 2024 | 3.58 million million SLC | +8.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 8,388 million SLC | 4,049 million SLC | 13,972 million SLC | 10 |
| 1980s | 29,057 million SLC | 14,723 million SLC | 46,119 million SLC | 10 |
| 1990s | 109,730 million SLC | 49,572 million SLC | 184,913 million SLC | 10 |
| 2000s | 275,283 million SLC | 187,071 million SLC | 532,455 million SLC | 10 |
| 2010s | 1.31 million million SLC | 632,023 million SLC | 2.14 million million SLC | 10 |
| 2020s | 2.95 million million SLC | 2.43 million million SLC | 3.58 million million SLC | 5 |
Countries ranked near Kenya
More environment data for Kenya
- Historical exposure to drought — Land soil moisture anomaly -8.08 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.73 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.27 °C (2025)
- Temperature change 1.12 °C (2025)
- Printing and writing papers — Import quantity, annual growth rate 15.28 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0021 t per person (2024)
- Printing and writing papers — Import value, annual growth rate 6.18 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0019 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate 15.59 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Kenya?
- Value added (agriculture, forestry and fishing) — value standard in Kenya was 3.58 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 Kenya?
- The highest recorded value was 3.58 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Kenya?
- The lowest recorded value was 4,049 million SLC in 1970.
- How does Kenya rank for value added (agriculture, forestry and fishing) — value standard?
- Kenya ranks 35th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Kenya?
- Over the last ten years it is up 225.3%. The long-run trend across the full record is volatile.
- Where does this Kenya 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).