Value Added Deflator (Agriculture, forestry and fishery) — Value in Fiji
Fiji: Value Added Deflator (Agriculture, forestry and fishery) — Value was 116.26 SLC in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value in Fiji, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in SLC.
Analysis
Fiji recorded 116.26 SLC for value added deflator (agriculture, forestry and fishery) — value in 2024.
Compared with earlier readings it is down 24.3% on the previous year and up 17.6% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Fiji peaked at 161.47 SLC in 2020 and was at its lowest, 11.03 SLC, in 1970.
That places Fiji 151st out of 191 countries with data for 2024, putting it in the bottom quarter.
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 Fiji, year by year
| Year | SLC | Change |
|---|---|---|
| 1970 | 11.03 SLC | — |
| 1971 | 11.61 SLC | +5.3% |
| 1972 | 13.83 SLC | +19.1% |
| 1973 | 16.89 SLC | +22.1% |
| 1974 | 23.43 SLC | +38.7% |
| 1975 | 29.45 SLC | +25.7% |
| 1976 | 32 SLC | +8.6% |
| 1977 | 28.66 SLC | -10.4% |
| 1978 | 28.03 SLC | -2.2% |
| 1979 | 28.51 SLC | +1.7% |
| 1980 | 36.29 SLC | +27.3% |
| 1981 | 30.67 SLC | -15.5% |
| 1982 | 32.84 SLC | +7.1% |
| 1983 | 36.63 SLC | +11.5% |
| 1984 | 33.75 SLC | -7.9% |
| 1985 | 38.44 SLC | +13.9% |
| 1986 | 41.35 SLC | +7.6% |
| 1987 | 48.83 SLC | +18.1% |
| 1988 | 45.73 SLC | -6.3% |
| 1989 | 47.64 SLC | +4.2% |
| 1990 | 51.32 SLC | +7.7% |
| 1991 | 54.7 SLC | +6.6% |
| 1992 | 57.47 SLC | +5.1% |
| 1993 | 60.6 SLC | +5.4% |
| 1994 | 60.96 SLC | +0.6% |
| 1995 | 62.76 SLC | +2.9% |
| 1996 | 67.63 SLC | +7.8% |
| 1997 | 65.15 SLC | -3.7% |
| 1998 | 74.61 SLC | +14.5% |
| 1999 | 87.08 SLC | +16.7% |
| 2000 | 75.41 SLC | -13.4% |
| 2001 | 72.73 SLC | -3.6% |
| 2002 | 75.65 SLC | +4.0% |
| 2003 | 80.72 SLC | +6.7% |
| 2004 | 81.88 SLC | +1.4% |
| 2005 | 86.26 SLC | +5.4% |
| 2006 | 88.28 SLC | +2.3% |
| 2007 | 96.47 SLC | +9.3% |
| 2008 | 81.26 SLC | -15.8% |
| 2009 | 83.17 SLC | +2.4% |
| 2010 | 84.28 SLC | +1.3% |
| 2011 | 88.55 SLC | +5.1% |
| 2012 | 99.53 SLC | +12.4% |
| 2013 | 105.81 SLC | +6.3% |
| 2014 | 98.83 SLC | -6.6% |
| 2015 | 100 SLC | +1.2% |
| 2016 | 159.89 SLC | +59.9% |
| 2017 | 152.71 SLC | -4.5% |
| 2018 | 160.59 SLC | +5.2% |
| 2019 | 160.59 SLC | -0.0% |
| 2020 | 161.47 SLC | +0.6% |
| 2021 | 158.43 SLC | -1.9% |
| 2022 | 155.59 SLC | -1.8% |
| 2023 | 153.59 SLC | -1.3% |
| 2024 | 116.26 SLC | -24.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 22.34 SLC | 11.03 SLC | 32 SLC | 10 |
| 1980s | 39.22 SLC | 30.67 SLC | 48.83 SLC | 10 |
| 1990s | 64.23 SLC | 51.32 SLC | 87.08 SLC | 10 |
| 2000s | 82.18 SLC | 72.73 SLC | 96.47 SLC | 10 |
| 2010s | 121.08 SLC | 84.28 SLC | 160.59 SLC | 10 |
| 2020s | 149.07 SLC | 116.26 SLC | 161.47 SLC | 5 |
Countries ranked near Fiji
- 148 China, mainland 118.84 SLC compare
- 149 Peru 118.17 SLC compare
- 150 El Salvador 117.32 SLC compare
- 152 Aruba 115.91 SLC compare
- 153 Liechtenstein 114.79 SLC compare
- 154 Jordan 114.53 SLC compare
More environment data for Fiji
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.219 °C (2025)
- Temperature change 1.31 °C (2025)
- Wood-based panels — Import quantity, annual growth rate 82.59 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0276 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 37.73 % change on previous year (2024)
- Wood-based panels — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Wood-based panels — Import value, per capita 0.0093 1000 USD per person (2024)
- Plywood and LVL — Import quantity, annual growth rate 121.71 % change on previous year (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Fiji?
- Value added deflator (agriculture, forestry and fishery) — value in Fiji was 116.26 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 Fiji?
- The highest recorded value was 161.47 SLC in 2020.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Fiji?
- The lowest recorded value was 11.03 SLC in 1970.
- How does Fiji rank for value added deflator (agriculture, forestry and fishery) — value?
- Fiji ranks 151st out of 191 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Fiji?
- Over the last ten years it is up 17.6%. The long-run trend across the full record is volatile.
- Where does this Fiji 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).