Value Added (Agriculture, Forestry and Fishing) — Value Standard in Kenya
Kenya: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.67 million million SLC in 2024. ▲ Rising
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
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Kenya is 1.67 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 5.0% on the previous year and up 30.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Kenya peaked at 1.67 million million SLC in 2024 and was at its lowest, 334,708 million SLC, in 1970.
Kenya ranks 35th of 191 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Kenya, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 334,708 million SLC | — |
| 1971 | 338,556 million SLC | +1.1% |
| 1972 | 363,563 million SLC | +7.4% |
| 1973 | 379,783 million SLC | +4.5% |
| 1974 | 379,783 million SLC | +0.0% |
| 1975 | 396,563 million SLC | +4.4% |
| 1976 | 411,105 million SLC | +3.7% |
| 1977 | 450,818 million SLC | +9.7% |
| 1978 | 478,225 million SLC | +6.1% |
| 1979 | 479,343 million SLC | +0.2% |
| 1980 | 484,377 million SLC | +1.1% |
| 1981 | 513,462 million SLC | +6.0% |
| 1982 | 568,836 million SLC | +10.8% |
| 1983 | 579,463 million SLC | +1.9% |
| 1984 | 559,327 million SLC | -3.5% |
| 1985 | 581,700 million SLC | +4.0% |
| 1986 | 610,785 million SLC | +5.0% |
| 1987 | 635,955 million SLC | +4.1% |
| 1988 | 665,040 million SLC | +4.6% |
| 1989 | 692,447 million SLC | +4.1% |
| 1990 | 716,498 million SLC | +3.5% |
| 1991 | 711,464 million SLC | -0.7% |
| 1992 | 687,413 million SLC | -3.4% |
| 1993 | 665,040 million SLC | -3.3% |
| 1994 | 685,176 million SLC | +3.0% |
| 1995 | 718,735 million SLC | +4.9% |
| 1996 | 750,617 million SLC | +4.4% |
| 1997 | 727,232 million SLC | -3.1% |
| 1998 | 786,086 million SLC | +8.1% |
| 1999 | 840,268 million SLC | +6.9% |
| 2000 | 828,840 million SLC | -1.4% |
| 2001 | 908,657 million SLC | +9.6% |
| 2002 | 877,264 million SLC | -3.5% |
| 2003 | 898,197 million SLC | +2.4% |
| 2004 | 913,899 million SLC | +1.7% |
| 2005 | 977,175 million SLC | +6.9% |
| 2006 | 1.02 million million SLC | +4.5% |
| 2007 | 1.07 million million SLC | +5.1% |
| 2008 | 1.02 million million SLC | -5.0% |
| 2009 | 1.05 million million SLC | +3.2% |
| 2010 | 1.16 million million SLC | +10.4% |
| 2011 | 1.19 million million SLC | +2.4% |
| 2012 | 1.22 million million SLC | +2.4% |
| 2013 | 1.27 million million SLC | +4.1% |
| 2014 | 1.28 million million SLC | +1.4% |
| 2015 | 1.34 million million SLC | +4.4% |
| 2016 | 1.36 million million SLC | +1.4% |
| 2017 | 1.34 million million SLC | -1.3% |
| 2018 | 1.42 million million SLC | +5.7% |
| 2019 | 1.46 million million SLC | +2.7% |
| 2020 | 1.52 million million SLC | +4.6% |
| 2021 | 1.52 million million SLC | -0.4% |
| 2022 | 1.50 million million SLC | -1.5% |
| 2023 | 1.59 million million SLC | +6.5% |
| 2024 | 1.67 million million SLC | +5.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 401,245 million SLC | 334,708 million SLC | 479,343 million SLC | 10 |
| 1980s | 589,139 million SLC | 484,377 million SLC | 692,447 million SLC | 10 |
| 1990s | 728,853 million SLC | 665,040 million SLC | 840,268 million SLC | 10 |
| 2000s | 956,855 million SLC | 828,840 million SLC | 1.07 million million SLC | 10 |
| 2010s | 1.30 million million SLC | 1.16 million million SLC | 1.46 million million SLC | 10 |
| 2020s | 1.56 million million SLC | 1.50 million million SLC | 1.67 million million SLC | 5 |
Countries ranked near Kenya
- 32 Burundi 2.00 million million SLC compare
- 33 Burkina Faso 1.95 million million SLC compare
- 34 Angola 1.75 million million SLC compare
- 36 Costa Rica 1.67 million million SLC compare
- 37 Philippines 1.61 million million SLC compare
- 38 Thailand 1.36 million million SLC compare
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)
- Wood-based panels — Import quantity, annual growth rate 41.4 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0043 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 27.87 % change on previous year (2024)
- Wood-based panels — 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 Kenya?
- Value added (agriculture, forestry and fishing) — value standard in Kenya was 1.67 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 1.67 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 334,708 million SLC in 1970.
- How does Kenya rank for value added (agriculture, forestry and fishing) — value standard?
- Kenya ranks 35th out of 191 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 30.3%. The long-run trend across the full record is rising.
- 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, 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).