Value Added (Agriculture, Forestry and Fishing) — Value Standard in Türkiye
Türkiye: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2.43 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Türkiye, 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 Türkiye is 2.43 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
The figure is up 48.5% on the previous year and up 1,701.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Türkiye peaked at 2.43 million million SLC in 2024 and was at its lowest, 0.0754 million SLC, in 1970.
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 Türkiye, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 0.0754 million SLC | — |
| 1971 | 0.0891 million SLC | +18.0% |
| 1972 | 0.0975 million SLC | +9.4% |
| 1973 | 0.1215 million SLC | +24.6% |
| 1974 | 0.1755 million SLC | +44.5% |
| 1975 | 0.2241 million SLC | +27.7% |
| 1976 | 0.2632 million SLC | +17.4% |
| 1977 | 0.3264 million SLC | +24.0% |
| 1978 | 0.4945 million SLC | +51.5% |
| 1979 | 0.762 million SLC | +54.1% |
| 1980 | 1.34 million SLC | +76.4% |
| 1981 | 1.88 million SLC | +39.6% |
| 1982 | 2.31 million SLC | +22.9% |
| 1983 | 2.86 million SLC | +24.0% |
| 1984 | 4.58 million SLC | +60.4% |
| 1985 | 6.79 million SLC | +48.2% |
| 1986 | 9.8 million SLC | +44.2% |
| 1987 | 13.09 million SLC | +33.6% |
| 1988 | 21.92 million SLC | +67.5% |
| 1989 | 37.06 million SLC | +69.1% |
| 1990 | 67.52 million SLC | +82.2% |
| 1991 | 94.43 million SLC | +39.9% |
| 1992 | 161.02 million SLC | +70.5% |
| 1993 | 300.29 million SLC | +86.5% |
| 1994 | 587.92 million SLC | +95.8% |
| 1995 | 1,197 million SLC | +103.7% |
| 1996 | 2,447 million SLC | +104.4% |
| 1997 | 4,099 million SLC | +67.5% |
| 1998 | 8,957 million SLC | +118.5% |
| 1999 | 11,229 million SLC | +25.4% |
| 2000 | 17,206 million SLC | +53.2% |
| 2001 | 21,730 million SLC | +26.3% |
| 2002 | 36,902 million SLC | +69.8% |
| 2003 | 46,250 million SLC | +25.3% |
| 2004 | 54,365 million SLC | +17.5% |
| 2005 | 62,350 million SLC | +14.7% |
| 2006 | 64,416 million SLC | +3.3% |
| 2007 | 66,197 million SLC | +2.8% |
| 2008 | 74,451 million SLC | +12.5% |
| 2009 | 81,234 million SLC | +9.1% |
| 2010 | 104,704 million SLC | +28.9% |
| 2011 | 114,838 million SLC | +9.7% |
| 2012 | 121,693 million SLC | +6.0% |
| 2013 | 121,734 million SLC | +0.0% |
| 2014 | 134,744 million SLC | +10.7% |
| 2015 | 161,471 million SLC | +19.8% |
| 2016 | 161,331 million SLC | -0.1% |
| 2017 | 189,233 million SLC | +17.3% |
| 2018 | 217,832 million SLC | +15.1% |
| 2019 | 276,416 million SLC | +26.9% |
| 2020 | 336,737 million SLC | +21.8% |
| 2021 | 401,537 million SLC | +19.2% |
| 2022 | 972,302 million SLC | +142.1% |
| 2023 | 1.64 million million SLC | +68.2% |
| 2024 | 2.43 million million SLC | +48.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.2629 million SLC | 0.0754 million SLC | 0.762 million SLC | 10 |
| 1980s | 10.16 million SLC | 1.34 million SLC | 37.06 million SLC | 10 |
| 1990s | 2,914 million SLC | 67.52 million SLC | 11,229 million SLC | 10 |
| 2000s | 52,510 million SLC | 17,206 million SLC | 81,234 million SLC | 10 |
| 2010s | 160,400 million SLC | 104,704 million SLC | 276,416 million SLC | 10 |
| 2020s | 1.15 million million SLC | 336,737 million SLC | 2.43 million million SLC | 5 |
Countries ranked near Türkiye
- 4 Somalia 153.13 million million SLC compare
- 5 Lebanon 105.27 million million SLC compare
- 6 Democratic Republic of the Congo 33.73 million million SLC compare
- 6 Guinea 65.44 million million SLC compare
- 7 Nigeria 56.48 million million SLC compare
- 8 India 52.44 million million SLC compare
- 9 Uganda 50.81 million million SLC compare
- 10 Republic of Korea 35.20 million million SLC compare
More environment data for Türkiye
- Historical exposure to drought — Land soil moisture anomaly -4.66 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.91 Percentage change (2025)
- Temperature change 1.93 °C (2025)
- Standard Deviation 0.628 °C (2025)
- Value Added (Agriculture, Forestry and Fishing) — Value US$ 74,004 million USD (2024)
- Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ 5.34 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ 5.59 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 69,137 million USD (2024)
- Land area equipped for irrigation — Share in Cropland 29.99 % (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Türkiye?
- Value added (agriculture, forestry and fishing) — value standard in Türkiye was 2.43 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 Türkiye?
- The highest recorded value was 2.43 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Türkiye?
- The lowest recorded value was 0.0754 million SLC in 1970.
- How does Türkiye rank for value added (agriculture, forestry and fishing) — value standard?
- Türkiye ranks 7th out of 13 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Türkiye?
- Over the last ten years it is up 1,701.8%. The long-run trend across the full record is volatile.
- Where does this Türkiye 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
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).