Value Added (Agriculture, Forestry and Fishing) — Value Standard in Israel
Israel: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 17,388 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Israel, 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 Israel is 17,388 million SLC, measured in 2024.
Compared with earlier readings it is down 2.3% on the previous year and down 2.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Israel peaked at 20,347 million SLC in 2009 and was at its lowest, 8,068 million SLC, in 1991.
That places Israel 100th out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Israel, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 8,785 million SLC | — |
| 1971 | 9,391 million SLC | +6.9% |
| 1972 | 9,654 million SLC | +2.8% |
| 1973 | 9,728 million SLC | +0.8% |
| 1974 | 11,000 million SLC | +13.1% |
| 1975 | 11,249 million SLC | +2.3% |
| 1976 | 12,220 million SLC | +8.6% |
| 1977 | 11,732 million SLC | -4.0% |
| 1978 | 11,426 million SLC | -2.6% |
| 1979 | 11,958 million SLC | +4.7% |
| 1980 | 12,209 million SLC | +2.1% |
| 1981 | 13,045 million SLC | +6.8% |
| 1982 | 9,568 million SLC | -26.7% |
| 1983 | 8,614 million SLC | -10.0% |
| 1984 | 9,871 million SLC | +14.6% |
| 1985 | 11,352 million SLC | +15.0% |
| 1986 | 10,957 million SLC | -3.5% |
| 1987 | 10,672 million SLC | -2.6% |
| 1988 | 9,565 million SLC | -10.4% |
| 1989 | 8,991 million SLC | -6.0% |
| 1990 | 9,330 million SLC | +3.8% |
| 1991 | 8,068 million SLC | -13.5% |
| 1992 | 9,176 million SLC | +13.7% |
| 1993 | 8,082 million SLC | -11.9% |
| 1994 | 8,997 million SLC | +11.3% |
| 1995 | 11,729 million SLC | +30.4% |
| 1996 | 12,678 million SLC | +8.1% |
| 1997 | 12,745 million SLC | +0.5% |
| 1998 | 13,976 million SLC | +9.7% |
| 1999 | 13,130 million SLC | -6.1% |
| 2000 | 13,719 million SLC | +4.5% |
| 2001 | 14,815 million SLC | +8.0% |
| 2002 | 15,399 million SLC | +3.9% |
| 2003 | 14,454 million SLC | -6.1% |
| 2004 | 16,255 million SLC | +12.5% |
| 2005 | 17,769 million SLC | +9.3% |
| 2006 | 17,703 million SLC | -0.4% |
| 2007 | 17,427 million SLC | -1.6% |
| 2008 | 17,281 million SLC | -0.8% |
| 2009 | 20,347 million SLC | +17.7% |
| 2010 | 18,405 million SLC | -9.5% |
| 2011 | 20,112 million SLC | +9.3% |
| 2012 | 18,832 million SLC | -6.4% |
| 2013 | 18,957 million SLC | +0.7% |
| 2014 | 17,831 million SLC | -5.9% |
| 2015 | 16,756 million SLC | -6.0% |
| 2016 | 17,874 million SLC | +6.7% |
| 2017 | 18,338 million SLC | +2.6% |
| 2018 | 17,638 million SLC | -3.8% |
| 2019 | 17,751 million SLC | +0.6% |
| 2020 | 17,068 million SLC | -3.8% |
| 2021 | 18,439 million SLC | +8.0% |
| 2022 | 18,930 million SLC | +2.7% |
| 2023 | 17,800 million SLC | -6.0% |
| 2024 | 17,388 million SLC | -2.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 10,714 million SLC | 8,785 million SLC | 12,220 million SLC | 10 |
| 1980s | 10,484 million SLC | 8,614 million SLC | 13,045 million SLC | 10 |
| 1990s | 10,791 million SLC | 8,068 million SLC | 13,976 million SLC | 10 |
| 2000s | 16,517 million SLC | 13,719 million SLC | 20,347 million SLC | 10 |
| 2010s | 18,249 million SLC | 16,756 million SLC | 20,112 million SLC | 10 |
| 2020s | 17,925 million SLC | 17,068 million SLC | 18,930 million SLC | 5 |
Countries ranked near Israel
- 97 French Polynesia 20,231 million SLC compare
- 98 Mauritius 18,403 million SLC compare
- 99 Gambia 18,084 million SLC compare
- 101 Sierra Leone 15,981 million SLC compare
- 102 Tajikistan 15,106 million SLC compare
- 103 United Arab Emirates 15,040 million SLC compare
More environment data for Israel
- Historical exposure to drought — Land soil moisture anomaly -15.63 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -11.49 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.477 °C (2025)
- Temperature change 1.69 °C (2025)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -12.14 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Import quantity, per capita 0.0467 m3 per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Israel?
- Value added (agriculture, forestry and fishing) — value standard in Israel was 17,388 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 Israel?
- The highest recorded value was 20,347 million SLC in 2009.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Israel?
- The lowest recorded value was 8,068 million SLC in 1991.
- How does Israel rank for value added (agriculture, forestry and fishing) — value standard?
- Israel ranks 100th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Israel?
- Over the last ten years it is down 2.5%. The long-run trend across the full record is rising.
- Where does this Israel 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
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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).