Value Added Deflator (Agriculture, forestry and fishery) — Value in Syrian Arab Republic
Syrian Arab Republic: Value Added Deflator (Agriculture, forestry and fishery) — Value was 7,730 SLC in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value in Syrian Arab Republic, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in SLC.
Analysis
In 2024, value added deflator (agriculture, forestry and fishery) — value in Syrian Arab Republic stood at 7,730 SLC. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 13.0% on the previous year and up 11,619.3% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Syrian Arab Republic peaked at 7,730 SLC in 2024 and was at its lowest, 0.1903 SLC, in 1972.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added Deflator (Agriculture, forestry and fishery) — Value in Syrian Arab Republic, year by year
| Year | SLC | Change |
|---|---|---|
| 1970 | 0.2068 SLC | — |
| 1971 | 0.2192 SLC | +6.0% |
| 1972 | 0.1903 SLC | -13.2% |
| 1973 | 0.2291 SLC | +20.4% |
| 1974 | 0.2877 SLC | +25.6% |
| 1975 | 0.315 SLC | +9.5% |
| 1976 | 0.3426 SLC | +8.8% |
| 1977 | 0.4082 SLC | +19.2% |
| 1978 | 0.4556 SLC | +11.6% |
| 1979 | 0.5332 SLC | +17.0% |
| 1980 | 0.5727 SLC | +7.4% |
| 1981 | 0.6841 SLC | +19.4% |
| 1982 | 0.7651 SLC | +11.8% |
| 1983 | 0.8655 SLC | +13.1% |
| 1984 | 0.8977 SLC | +3.7% |
| 1985 | 0.9981 SLC | +11.2% |
| 1986 | 1.28 SLC | +28.1% |
| 1987 | 2.03 SLC | +58.5% |
| 1988 | 2.68 SLC | +32.5% |
| 1989 | 3.3 SLC | +23.1% |
| 1990 | 4.19 SLC | +26.8% |
| 1991 | 4.94 SLC | +17.9% |
| 1992 | 5.17 SLC | +4.6% |
| 1993 | 5.27 SLC | +2.0% |
| 1994 | 5.83 SLC | +10.6% |
| 1995 | 6.4 SLC | +9.8% |
| 1996 | 6.65 SLC | +3.8% |
| 1997 | 6.87 SLC | +3.3% |
| 1998 | 6.79 SLC | -1.2% |
| 1999 | 6.86 SLC | +1.1% |
| 2000 | 7.05 SLC | +2.7% |
| 2001 | 7.24 SLC | +2.7% |
| 2002 | 6.86 SLC | -5.2% |
| 2003 | 7.35 SLC | +7.0% |
| 2004 | 8.05 SLC | +9.5% |
| 2005 | 8.12 SLC | +0.9% |
| 2006 | 8.89 SLC | +9.5% |
| 2007 | 10.91 SLC | +22.8% |
| 2008 | 13.66 SLC | +25.2% |
| 2009 | 15.21 SLC | +11.3% |
| 2010 | 16.16 SLC | +6.3% |
| 2011 | 16.8 SLC | +4.0% |
| 2012 | 23.88 SLC | +42.1% |
| 2013 | 27.21 SLC | +14.0% |
| 2014 | 65.96 SLC | +142.4% |
| 2015 | 100 SLC | +51.6% |
| 2016 | 134.75 SLC | +34.7% |
| 2017 | 209.26 SLC | +55.3% |
| 2018 | 270.31 SLC | +29.2% |
| 2019 | 323.23 SLC | +19.6% |
| 2020 | 420.17 SLC | +30.0% |
| 2021 | 1,238 SLC | +194.6% |
| 2022 | 3,023 SLC | +144.2% |
| 2023 | 6,839 SLC | +126.2% |
| 2024 | 7,730 SLC | +13.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.3188 SLC | 0.1903 SLC | 0.5332 SLC | 10 |
| 1980s | 1.41 SLC | 0.5727 SLC | 3.3 SLC | 10 |
| 1990s | 5.9 SLC | 4.19 SLC | 6.87 SLC | 10 |
| 2000s | 9.33 SLC | 6.86 SLC | 15.21 SLC | 10 |
| 2010s | 118.76 SLC | 16.16 SLC | 323.23 SLC | 10 |
| 2020s | 3,850 SLC | 420.17 SLC | 7,730 SLC | 5 |
Countries ranked near Syrian Arab Republic
- 1 Cabo Verde 159.58 SLC compare
- 1 South Sudan 77,689 SLC compare
- 1 Venezuela (Bolivarian Republic of) 5.52 trillion SLC compare
- 2 Argentina 12,041 SLC compare
- 2 Côte d'Ivoire 127.48 SLC compare
- 3 Iran (Islamic Republic of) 1,769 SLC compare
- 3 Sudan 4,063 SLC compare
- 4 Malta 3,742 SLC compare
- 4 Türkiye 1,291 SLC compare
- 5 Democratic Republic of the Congo 423.97 SLC compare
- 5 Lebanon 2,771 SLC compare
More environment data for Syrian Arab Republic
- Historical exposure to drought — Cropland soil moisture anomaly -24.28 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -33.54 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.561 °C (2025)
- Temperature change 2.09 °C (2025)
- Cropland — Share in Land area 29.67 % (2024)
- Cropland — Area per capita 0.22 ha/cap (2024)
- Cropland — Share in Agricultural land 40.03 % (2024)
- Cropland — Area 5,449 1000 ha (2024)
- Agricultural land — Value of agricultural production (Int. $) per Area 588.84 USD_PPP/ha (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Syrian Arab Republic?
- Value added deflator (agriculture, forestry and fishery) — value in Syrian Arab Republic was 7,730 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added deflator (agriculture, forestry and fishery) — value recorded in Syrian Arab Republic?
- The highest recorded value was 7,730 SLC in 2024.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Syrian Arab Republic?
- The lowest recorded value was 0.1903 SLC in 1972.
- How does Syrian Arab Republic rank for value added deflator (agriculture, forestry and fishery) — value?
- Syrian Arab Republic ranks 2nd out of 13 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Syrian Arab Republic?
- Over the last ten years it is up 11,619.3%. The long-run trend across the full record is volatile.
- Where does this Syrian Arab Republic data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added Deflator (Agriculture, forestry and fishery) — 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 Deflators database provides the following selection of price deflator series by country and at regional level: Gross Domestic Product deflator, Gross Fixed Capital Formation deflator, Manufacturing Value-Added deflator, and Agriculture, Forestry, Fishery Valued-Added deflator. In the FAOSTAT Deflators database, all series are derived from the United Nations Statistics Division (UNSD) National Accounts Analysis of Main Aggregates database (UNSD AMA). In particular, the implicit Gross Domestic Product deflator, the implicit Gross Fixed Capital Formation deflator, the implicit value added deflator of Agriculture, Forestry, Fishery and the implicit value added deflator of Manufacturing are obtained by dividing the series in current prices by those in constant 2015 prices (base year).