Raw milk of cattle — Gross Production Value (constant 2014-2016) in Ecuador
Ecuador: Raw milk of cattle — Gross Production Value (constant 2014-2016) was -6.49 % change on previous year in 2024. ◆ Volatile
Raw milk of cattle — Gross Production Value (constant 2014-2016) in Ecuador, 1962–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Ecuador recorded -6.49 % change on previous year for raw milk of cattle — gross production value (constant 2014-2016) in 2024.
Compared with earlier readings it is down 560.0% on the previous year and up 47.4% over ten years.
Over the whole period, raw milk of cattle — gross production value (constant 2014-2016) in Ecuador peaked at 32.38 % change on previous year in 2019 and was at its lowest, -17.1 % change on previous year, in 1985.
Ecuador ranks 187th of 200 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Raw milk of cattle — Gross Production Value (constant 2014-2016) in Ecuador, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1962 | 4.17 % change on previous year | — |
| 1963 | 2 % change on previous year | -52.0% |
| 1964 | 3.92 % change on previous year | +96.1% |
| 1965 | 3.77 % change on previous year | -3.8% |
| 1966 | 9.09 % change on previous year | +140.9% |
| 1967 | 3.33 % change on previous year | -63.3% |
| 1968 | 9.15 % change on previous year | +174.4% |
| 1969 | 2.44 % change on previous year | -73.3% |
| 1970 | 1.7 % change on previous year | -30.2% |
| 1971 | 1.69 % change on previous year | -0.9% |
| 1972 | 1.8 % change on previous year | +6.6% |
| 1973 | 4.54 % change on previous year | +152.4% |
| 1974 | 0.4164 % change on previous year | -90.8% |
| 1975 | 2.36 % change on previous year | +467.6% |
| 1976 | 3.15 % change on previous year | +33.2% |
| 1977 | 4.94 % change on previous year | +56.9% |
| 1978 | 2 % change on previous year | -59.5% |
| 1979 | 4.46 % change on previous year | +122.6% |
| 1980 | 2.18 % change on previous year | -51.2% |
| 1981 | 2.09 % change on previous year | -4.1% |
| 1982 | 8.57 % change on previous year | +310.4% |
| 1983 | -15.81 % change on previous year | -284.5% |
| 1984 | 5.34 % change on previous year | -133.7% |
| 1985 | -17.1 % change on previous year | -420.3% |
| 1986 | 2.52 % change on previous year | -114.7% |
| 1987 | -2.63 % change on previous year | -204.3% |
| 1988 | 18.76 % change on previous year | -814.1% |
| 1989 | 12.43 % change on previous year | -33.8% |
| 1990 | 4 % change on previous year | -67.8% |
| 1991 | 2.78 % change on previous year | -30.6% |
| 1992 | 3.54 % change on previous year | +27.6% |
| 1993 | 7.35 % change on previous year | +107.5% |
| 1994 | 9.78 % change on previous year | +33.1% |
| 1995 | 5.55 % change on previous year | -43.3% |
| 1996 | 3.49 % change on previous year | -37.2% |
| 1997 | 18.39 % change on previous year | +427.6% |
| 1998 | 2.24 % change on previous year | -87.8% |
| 1999 | 1.1 % change on previous year | -51.1% |
| 2000 | 3.2 % change on previous year | +191.5% |
| 2001 | 3.16 % change on previous year | -1.4% |
| 2002 | -9.3 % change on previous year | -394.7% |
| 2003 | -3.83 % change on previous year | -58.8% |
| 2004 | 10.95 % change on previous year | -385.9% |
| 2005 | -4.62 % change on previous year | -142.2% |
| 2006 | 13.33 % change on previous year | -388.8% |
| 2007 | -8.1 % change on previous year | -160.8% |
| 2008 | 11.9 % change on previous year | -246.8% |
| 2009 | -1.82 % change on previous year | -115.3% |
| 2010 | 9.19 % change on previous year | -605.2% |
| 2011 | 11.66 % change on previous year | +26.8% |
| 2012 | -10.98 % change on previous year | -194.2% |
| 2013 | 10.35 % change on previous year | -194.2% |
| 2014 | -12.33 % change on previous year | -219.1% |
| 2015 | -9.25 % change on previous year | -25.0% |
| 2016 | 6.77 % change on previous year | -173.2% |
| 2017 | -3.47 % change on previous year | -151.3% |
| 2018 | -2.2 % change on previous year | -36.6% |
| 2019 | 32.38 % change on previous year | -1572.3% |
| 2020 | -7.46 % change on previous year | -123.0% |
| 2021 | -7.36 % change on previous year | -1.3% |
| 2022 | -3.45 % change on previous year | -53.1% |
| 2023 | 1.41 % change on previous year | -140.9% |
| 2024 | -6.49 % change on previous year | -560.0% |
Biggest year-on-year movements
Years where Raw milk of cattle — Gross Production Value (constant 2014-2016) in Ecuador 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 |
|---|---|---|---|
| 2019 | +1572.3% | -2.2 % change on previous year | 32.38 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 4.73 % change on previous year | 2 % change on previous year | 9.15 % change on previous year | 8 |
| 1970s | 2.71 % change on previous year | 0.4164 % change on previous year | 4.94 % change on previous year | 10 |
| 1980s | 1.63 % change on previous year | -17.1 % change on previous year | 18.76 % change on previous year | 10 |
| 1990s | 5.82 % change on previous year | 1.1 % change on previous year | 18.39 % change on previous year | 10 |
| 2000s | 1.49 % change on previous year | -9.3 % change on previous year | 13.33 % change on previous year | 10 |
| 2010s | 3.21 % change on previous year | -12.33 % change on previous year | 32.38 % change on previous year | 10 |
| 2020s | -4.67 % change on previous year | -7.46 % change on previous year | 1.41 % change on previous year | 5 |
Countries ranked near Ecuador
- 184 Yugoslav SFR -5.47 % change on previous year compare
- 185 Albania -5.53 % change on previous year compare
- 186 Jamaica -5.78 % change on previous year compare
- 188 Argentina -6.49 % change on previous year compare
- 189 USSR -6.59 % change on previous year compare
- 190 Yemen -7.12 % change on previous year compare
More agriculture & rural data for Ecuador
- Agriculture, forestry, and fishing, value added (current US$), annual 10.59 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.097 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 691.36 current US$ per person (2025)
- Rural population, annual growth rate 0.4287 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.3661 units per person (2025)
- Share of GDP from agriculture 9.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 9.7% (2025)
- Agricultural raw materials exports 3.9% (2024)
- Agricultural raw materials imports 0.7% (2024)
Frequently asked questions
- What is raw milk of cattle — gross production value (constant 2014-2016) in Ecuador?
- Raw milk of cattle — gross production value (constant 2014-2016) in Ecuador was -6.49 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest raw milk of cattle — gross production value (constant 2014-2016) recorded in Ecuador?
- The highest recorded value was 32.38 % change on previous year in 2019.
- What is the lowest raw milk of cattle — gross production value (constant 2014-2016) recorded in Ecuador?
- The lowest recorded value was -17.1 % change on previous year in 1985.
- How does Ecuador rank for raw milk of cattle — gross production value (constant 2014-2016)?
- Ecuador ranks 187th out of 200 countries with data for 2024.
- Is raw milk of cattle — gross production value (constant 2014-2016) rising or falling in Ecuador?
- Over the last ten years it is up 47.4%. The long-run trend across the full record is volatile.
- Where does this Ecuador data come from?
- The figures come from Statizoid (derived), published as part of Raw milk of cattle — Gross Production Value (constant 2014-2016 thousand I$), annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Raw milk of cattle — Gross Production Value (constant 2014-2016 thousand I$). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Raw milk of cattle — Gross Production Value 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 Raw milk of cattle — Gross Production Value (constant 2014-2016 thousand I$). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.