Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Peru
Peru: Value Added Deflator (Agriculture, forestry and fishery) — Value US$ was -14.5 % change on previous year in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Peru, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Peru recorded -14.5 % change on previous year for value added deflator (agriculture, forestry and fishery) — value us$ in 2024.
That represents a change of down 206.6% on the previous year and down 589.4% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value us$ in Peru peaked at 66.8 % change on previous year in 1986 and was at its lowest, -34.83 % change on previous year, in 1988.
Peru ranks 206th of 219 countries on this measure, 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 US$ in Peru, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | 9.15 % change on previous year | — |
| 1972 | 11.15 % change on previous year | +21.8% |
| 1973 | 18.08 % change on previous year | +62.1% |
| 1974 | 16.11 % change on previous year | -10.9% |
| 1975 | 26.59 % change on previous year | +65.1% |
| 1976 | -12.2 % change on previous year | -145.9% |
| 1977 | -7.67 % change on previous year | -37.1% |
| 1978 | -27.67 % change on previous year | +260.6% |
| 1979 | 9.29 % change on previous year | -133.6% |
| 1980 | 24.32 % change on previous year | +161.7% |
| 1981 | 12.9 % change on previous year | -47.0% |
| 1982 | -8.47 % change on previous year | -165.7% |
| 1983 | -3.76 % change on previous year | -55.6% |
| 1984 | -2.13 % change on previous year | -43.4% |
| 1985 | -28.92 % change on previous year | +1260.1% |
| 1986 | 66.8 % change on previous year | -331.0% |
| 1987 | 43.14 % change on previous year | -35.4% |
| 1988 | -34.83 % change on previous year | -180.7% |
| 1989 | 11.55 % change on previous year | -133.1% |
| 1990 | -16.77 % change on previous year | -245.2% |
| 1991 | 24.9 % change on previous year | -248.5% |
| 1992 | 10.55 % change on previous year | -57.6% |
| 1993 | -7.21 % change on previous year | -168.4% |
| 1994 | 13.83 % change on previous year | -291.7% |
| 1995 | 9.49 % change on previous year | -31.4% |
| 1996 | 3.69 % change on previous year | -61.2% |
| 1997 | -4.23 % change on previous year | -214.7% |
| 1998 | 0.0342 % change on previous year | -100.8% |
| 1999 | -20.86 % change on previous year | -61072.1% |
| 2000 | -5.99 % change on previous year | -71.3% |
| 2001 | 0.4073 % change on previous year | -106.8% |
| 2002 | -4.3 % change on previous year | -1155.7% |
| 2003 | 2.98 % change on previous year | -169.4% |
| 2004 | 4.92 % change on previous year | +65.0% |
| 2005 | 8.73 % change on previous year | +77.3% |
| 2006 | 3.61 % change on previous year | -58.7% |
| 2007 | 12.62 % change on previous year | +249.8% |
| 2008 | 17.29 % change on previous year | +36.9% |
| 2009 | 3.28 % change on previous year | -81.0% |
| 2010 | 11.49 % change on previous year | +249.9% |
| 2011 | 11.97 % change on previous year | +4.2% |
| 2012 | 4.39 % change on previous year | -63.3% |
| 2013 | 0.9118 % change on previous year | -79.2% |
| 2014 | 2.96 % change on previous year | +224.9% |
| 2015 | -5.84 % change on previous year | -297.1% |
| 2016 | -2.18 % change on previous year | -62.6% |
| 2017 | 4.4 % change on previous year | -301.3% |
| 2018 | -2.27 % change on previous year | -151.6% |
| 2019 | 0.5778 % change on previous year | -125.4% |
| 2020 | -1.64 % change on previous year | -383.1% |
| 2021 | -1.5 % change on previous year | -8.1% |
| 2022 | 6.06 % change on previous year | -503.0% |
| 2023 | 13.61 % change on previous year | +124.7% |
| 2024 | -14.5 % change on previous year | -206.6% |
Biggest year-on-year movements
Years where Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Peru changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1999 | -61072.1% | 0.0342 % change on previous year | -20.86 % change on previous year |
| 1985 | -1260.1% | -2.13 % change on previous year | -28.92 % change on previous year |
| 2002 | -1155.7% | 0.4073 % change on previous year | -4.3 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4.76 % change on previous year | -27.67 % change on previous year | 26.59 % change on previous year | 9 |
| 1980s | 8.06 % change on previous year | -34.83 % change on previous year | 66.8 % change on previous year | 10 |
| 1990s | 1.34 % change on previous year | -20.86 % change on previous year | 24.9 % change on previous year | 10 |
| 2000s | 4.36 % change on previous year | -5.99 % change on previous year | 17.29 % change on previous year | 10 |
| 2010s | 2.64 % change on previous year | -5.84 % change on previous year | 11.97 % change on previous year | 10 |
| 2020s | 0.4045 % change on previous year | -14.5 % change on previous year | 13.61 % change on previous year | 5 |
Countries ranked near Peru
- 203 Australia and New Zealand -12.65 % change on previous year compare
- 204 Rwanda -12.77 % change on previous year compare
- 205 Luxembourg -14.11 % change on previous year compare
- 207 Zambia -15.14 % change on previous year compare
- 208 Estonia -15.85 % change on previous year compare
- 209 Australia -16.88 % change on previous year compare
More environment data for Peru
- Historical exposure to drought — Land soil moisture anomaly 0.4511 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 3.13 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.295 °C (2025)
- Temperature change 1.18 °C (2025)
- Cooling Degree Days, annual growth rate 5.46 % change on previous year (2024)
- Heating Degree Days, gaps filled 1,832 (2024)
- Heating Degree Days, per unit of GDP 0 units per US$ of GDP (2024)
- Heating Degree Days, per capita 0.0001 units per person (2024)
- Value Added Deflator (Agriculture, forestry and fishery) — Value -14.21 % change on previous year (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value us$ in Peru?
- Value added deflator (agriculture, forestry and fishery) — value us$ in Peru was -14.5 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Peru?
- The highest recorded value was 66.8 % change on previous year in 1986.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Peru?
- The lowest recorded value was -34.83 % change on previous year in 1988.
- How does Peru rank for value added deflator (agriculture, forestry and fishery) — value us$?
- Peru ranks 206th out of 219 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value us$ rising or falling in Peru?
- Over the last ten years it is down 589.4%. The long-run trend across the full record is volatile.
- Where does this Peru data come from?
- The figures come from Statizoid (derived), published as part of Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Value Added Deflator (Agriculture, forestry and fishery) — Value US$ Food and Agriculture Organization of the United Nations
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.