Value Added Deflator (Agriculture, forestry and fishery) — Value in Ghana
Ghana: Value Added Deflator (Agriculture, forestry and fishery) — Value was 407.29 SLC in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value in Ghana, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in SLC.
Analysis
Ghana recorded 407.29 SLC for value added deflator (agriculture, forestry and fishery) — value in 2024. That is the highest value across all 55 years on record.
That represents a change of up 27.5% on the previous year and up 371.0% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Ghana peaked at 407.29 SLC in 2024 and was at its lowest, 0.0013 SLC, in 1971.
Ghana ranks 13th of 191 countries on this measure, in the top 10%.
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 Ghana, year by year
| Year | SLC | Change |
|---|---|---|
| 1970 | 0.0014 SLC | — |
| 1971 | 0.0013 SLC | -1.0% |
| 1972 | 0.0015 SLC | +14.3% |
| 1973 | 0.002 SLC | +29.8% |
| 1974 | 0.0026 SLC | +27.7% |
| 1975 | 0.0034 SLC | +32.0% |
| 1976 | 0.0045 SLC | +33.3% |
| 1977 | 0.009 SLC | +99.3% |
| 1978 | 0.0154 SLC | +72.0% |
| 1979 | 0.0197 SLC | +28.0% |
| 1980 | 0.0283 SLC | +43.5% |
| 1981 | 0.0452 SLC | +59.4% |
| 1982 | 0.0614 SLC | +36.0% |
| 1983 | 0.1464 SLC | +138.5% |
| 1984 | 0.1617 SLC | +10.4% |
| 1985 | 0.1857 SLC | +14.8% |
| 1986 | 0.2853 SLC | +53.6% |
| 1987 | 0.4406 SLC | +54.5% |
| 1988 | 0.5877 SLC | +33.4% |
| 1989 | 0.7502 SLC | +27.6% |
| 1990 | 0.9504 SLC | +26.7% |
| 1991 | 1.15 SLC | +21.3% |
| 1992 | 1.33 SLC | +15.0% |
| 1993 | 1.48 SLC | +11.4% |
| 1994 | 1.99 SLC | +35.0% |
| 1995 | 2.94 SLC | +47.3% |
| 1996 | 4.1 SLC | +39.7% |
| 1997 | 4.49 SLC | +9.6% |
| 1998 | 5.27 SLC | +17.3% |
| 1999 | 6 SLC | +13.8% |
| 2000 | 7.65 SLC | +27.4% |
| 2001 | 10.3 SLC | +34.7% |
| 2002 | 12.63 SLC | +22.7% |
| 2003 | 16.76 SLC | +32.7% |
| 2004 | 19.65 SLC | +17.2% |
| 2005 | 22.67 SLC | +15.4% |
| 2006 | 24.76 SLC | +9.2% |
| 2007 | 29.4 SLC | +18.7% |
| 2008 | 38.44 SLC | +30.7% |
| 2009 | 45.81 SLC | +19.2% |
| 2010 | 49.53 SLC | +8.1% |
| 2011 | 53.85 SLC | +8.7% |
| 2012 | 61.99 SLC | +15.1% |
| 2013 | 71.2 SLC | +14.9% |
| 2014 | 86.48 SLC | +21.5% |
| 2015 | 100 SLC | +15.6% |
| 2016 | 121.49 SLC | +21.5% |
| 2017 | 128.47 SLC | +5.7% |
| 2018 | 133.36 SLC | +3.8% |
| 2019 | 140.63 SLC | +5.5% |
| 2020 | 156.82 SLC | +11.5% |
| 2021 | 177.59 SLC | +13.2% |
| 2022 | 225.2 SLC | +26.8% |
| 2023 | 319.43 SLC | +41.8% |
| 2024 | 407.29 SLC | +27.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.0061 SLC | 0.0013 SLC | 0.0197 SLC | 10 |
| 1980s | 0.2693 SLC | 0.0283 SLC | 0.7502 SLC | 10 |
| 1990s | 2.97 SLC | 0.9504 SLC | 6 SLC | 10 |
| 2000s | 22.81 SLC | 7.65 SLC | 45.81 SLC | 10 |
| 2010s | 94.7 SLC | 49.53 SLC | 140.63 SLC | 10 |
| 2020s | 257.27 SLC | 156.82 SLC | 407.29 SLC | 5 |
Countries ranked near Ghana
- 10 Ethiopia 562.38 SLC compare
- 10 Viet Nam 136.55 SLC compare
- 11 Bolivia (Plurinational State of) 134.3 SLC compare
- 11 Haiti 547.6 SLC compare
- 12 Egypt 496.65 SLC compare
- 12 Timor-Leste 109.92 SLC compare
- 13 Democratic People's Republic of Korea 108.11 SLC compare
- 14 Malawi 398.86 SLC compare
- 15 Cuba 396.08 SLC compare
- 16 Uzbekistan 316.2 SLC compare
More environment data for Ghana
- Historical exposure to drought — Land soil moisture anomaly -13.57 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -11.89 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.26 °C (2025)
- Temperature change 1.34 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0059 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 1.56 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0026 1000 USD per person (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Ghana?
- Value added deflator (agriculture, forestry and fishery) — value in Ghana was 407.29 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 Ghana?
- The highest recorded value was 407.29 SLC in 2024.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Ghana?
- The lowest recorded value was 0.0013 SLC in 1971.
- How does Ghana rank for value added deflator (agriculture, forestry and fishery) — value?
- Ghana ranks 13th out of 191 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Ghana?
- Over the last ten years it is up 371.0%. The long-run trend across the full record is volatile.
- Where does this Ghana 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
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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).