Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Kenya
Kenya: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 17,036 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Kenya, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Kenya is 17,036 million USD, measured in 2024. That is the highest value across all 55 years on record.
The figure 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 us$, 2015 in Kenya peaked at 17,036 million USD in 2024 and was at its lowest, 3,409 million USD, in 1970.
That places Kenya 35th out of 197 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,087 million USD | 3,409 million USD | 4,882 million USD | 10 |
| 1980s | 6,001 million USD | 4,934 million USD | 7,053 million USD | 10 |
| 1990s | 7,424 million USD | 6,774 million USD | 8,559 million USD | 10 |
| 2000s | 9,746 million USD | 8,442 million USD | 10,926 million USD | 10 |
| 2010s | 13,274 million USD | 11,821 million USD | 14,835 million USD | 10 |
| 2020s | 15,897 million USD | 15,239 million USD | 17,036 million USD | 5 |
Countries ranked near Kenya
More environment data for Kenya
- Historical exposure to drought — Land soil moisture anomaly -8.08 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.73 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.27 °C (2025)
- Temperature change 1.12 °C (2025)
- Other paper and paperboard, not elsewhere specified — Import 12.5 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0001 t per person (2024)
- Exposure to drought — Land soil moisture anomaly -2.97 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -1.88 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 1.26 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Kenya?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Kenya was 17,036 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Kenya?
- The highest recorded value was 17,036 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Kenya?
- The lowest recorded value was 3,409 million USD in 1970.
- How does Kenya rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Kenya ranks 35th out of 197 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Kenya?
- Over the last ten years it is up 30.3%. The long-run trend across the full record is rising.
- Where does this Kenya data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value US$, 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).