Value Added (Agriculture, Forestry and Fishing) — Value Standard in Israel
Israel: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 21,006 million SLC in 2024. ◆ Volatile
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
Israel recorded 21,006 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
That represents a change of up 6.1% on the previous year and up 34.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Israel peaked at 21,006 million SLC in 2024 and was at its lowest, 0.1266 million SLC, in 1970.
That places Israel 108th out of 199 countries with data for 2024, putting it in the middle of the range.
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 Israel, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 0.1266 million SLC | — |
| 1971 | 0.1549 million SLC | +22.3% |
| 1972 | 0.1856 million SLC | +19.8% |
| 1973 | 0.2286 million SLC | +23.2% |
| 1974 | 0.3503 million SLC | +53.2% |
| 1975 | 0.4892 million SLC | +39.6% |
| 1976 | 0.6981 million SLC | +42.7% |
| 1977 | 0.9488 million SLC | +35.9% |
| 1978 | 1.44 million SLC | +52.1% |
| 1979 | 2.67 million SLC | +85.1% |
| 1980 | 6.15 million SLC | +130.1% |
| 1981 | 14.75 million SLC | +140.0% |
| 1982 | 24.58 million SLC | +66.7% |
| 1983 | 55.31 million SLC | +125.0% |
| 1984 | 307.27 million SLC | +455.6% |
| 1985 | 1,288 million SLC | +319.2% |
| 1986 | 1,867 million SLC | +44.9% |
| 1987 | 2,185 million SLC | +17.1% |
| 1988 | 2,334 million SLC | +6.8% |
| 1989 | 2,604 million SLC | +11.6% |
| 1990 | 3,133 million SLC | +20.3% |
| 1991 | 3,255 million SLC | +3.9% |
| 1992 | 4,148 million SLC | +27.5% |
| 1993 | 4,058 million SLC | -2.2% |
| 1994 | 5,085 million SLC | +25.3% |
| 1995 | 6,491 million SLC | +27.7% |
| 1996 | 6,990 million SLC | +7.7% |
| 1997 | 7,451 million SLC | +6.6% |
| 1998 | 9,167 million SLC | +23.0% |
| 1999 | 8,725 million SLC | -4.8% |
| 2000 | 8,536 million SLC | -2.2% |
| 2001 | 9,990 million SLC | +17.0% |
| 2002 | 10,782 million SLC | +7.9% |
| 2003 | 10,223 million SLC | -5.2% |
| 2004 | 10,149 million SLC | -0.7% |
| 2005 | 12,435 million SLC | +22.5% |
| 2006 | 12,880 million SLC | +3.6% |
| 2007 | 13,256 million SLC | +2.9% |
| 2008 | 14,363 million SLC | +8.4% |
| 2009 | 17,970 million SLC | +25.1% |
| 2010 | 16,398 million SLC | -8.8% |
| 2011 | 17,747 million SLC | +8.2% |
| 2012 | 15,171 million SLC | -14.5% |
| 2013 | 16,397 million SLC | +8.1% |
| 2014 | 15,642 million SLC | -4.6% |
| 2015 | 16,756 million SLC | +7.1% |
| 2016 | 17,946 million SLC | +7.1% |
| 2017 | 18,494 million SLC | +3.1% |
| 2018 | 18,772 million SLC | +1.5% |
| 2019 | 19,229 million SLC | +2.4% |
| 2020 | 19,350 million SLC | +0.6% |
| 2021 | 20,889 million SLC | +8.0% |
| 2022 | 20,569 million SLC | -1.5% |
| 2023 | 19,799 million SLC | -3.7% |
| 2024 | 21,006 million SLC | +6.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.7296 million SLC | 0.1266 million SLC | 2.67 million SLC | 10 |
| 1980s | 1,069 million SLC | 6.15 million SLC | 2,604 million SLC | 10 |
| 1990s | 5,850 million SLC | 3,133 million SLC | 9,167 million SLC | 10 |
| 2000s | 12,058 million SLC | 8,536 million SLC | 17,970 million SLC | 10 |
| 2010s | 17,255 million SLC | 15,171 million SLC | 19,229 million SLC | 10 |
| 2020s | 20,323 million SLC | 19,350 million SLC | 21,006 million SLC | 5 |
Countries ranked near Israel
- 105 New Zealand 23,211 million SLC compare
- 106 Papua New Guinea 22,683 million SLC compare
- 107 Denmark 21,983 million SLC compare
- 109 Zimbabwe 20,101 million SLC compare
- 110 Netherlands (Kingdom of the) 19,053 million SLC compare
- 111 French Polynesia 18,689 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)
- Paper and paperboard — Import quantity, annual growth rate 8.8 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0469 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 2.35 % change on previous year (2024)
- Paper and paperboard — 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 Israel?
- Value added (agriculture, forestry and fishing) — value standard in Israel was 21,006 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 21,006 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Israel?
- The lowest recorded value was 0.1266 million SLC in 1970.
- How does Israel rank for value added (agriculture, forestry and fishing) — value standard?
- Israel ranks 108th out of 199 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 up 34.3%. The long-run trend across the full record is volatile.
- 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. 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).