Net food imports by crop - Rice, paddy, gaps filled in Brazil
Brazil: Net food imports by crop - Rice, paddy, gaps filled was 91,430 in 2019. ◆ Volatile
Net food imports by crop - Rice, paddy, gaps filled in Brazil, 1961–2019
Source: Statizoid (derived).
Analysis
Brazil recorded 91,430 for net food imports by crop - rice, paddy, gaps filled in 2019.
That represents a change of up 40.8% on the previous year and up 11.3% over ten years.
Over the whole period, net food imports by crop - rice, paddy, gaps filled in Brazil peaked at 650,152 in 2003 and was at its lowest, -29.18 million, in 2017.
Brazil ranks 9th of 168 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Net food imports by crop - Rice, paddy, gaps filled in Brazil, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | 0 | — |
| 1962 | 57 | — |
| 1963 | 6 | -89.5% |
| 1964 | 0 | -100.0% |
| 1965 | 0 | — |
| 1966 | 0 | — |
| 1967 | 0 | — |
| 1968 | 0 | — |
| 1969 | 0 | — |
| 1970 | 42 | — |
| 1971 | 0 | -100.0% |
| 1972 | 578 | — |
| 1973 | 0 | -100.0% |
| 1974 | 0 | — |
| 1975 | 847 | — |
| 1976 | 11 | -98.7% |
| 1977 | 500 | +4445.5% |
| 1978 | 33 | -93.4% |
| 1979 | 498 | +1409.1% |
| 1980 | 750 | +50.6% |
| 1981 | 0 | -100.0% |
| 1982 | 30,821 | — |
| 1983 | 20,241 | -34.3% |
| 1984 | 0 | -100.0% |
| 1985 | 160 | — |
| 1986 | 426,543 | +266489.4% |
| 1987 | 0 | -100.0% |
| 1988 | -12 | — |
| 1989 | -29 | +141.7% |
| 1990 | 70,676 | -243810.3% |
| 1991 | 319,158 | +351.6% |
| 1992 | 88,759 | -72.2% |
| 1993 | 97,836 | +10.2% |
| 1994 | 245,980 | +151.4% |
| 1995 | 357,658 | +45.4% |
| 1996 | 161,055 | -55.0% |
| 1997 | 207,945 | +29.1% |
| 1998 | 595,267 | +186.3% |
| 1999 | 637,577 | +7.1% |
| 2000 | 200,422 | -68.6% |
| 2001 | 135,561 | -32.4% |
| 2002 | 221,097 | +63.1% |
| 2003 | 650,152 | +194.1% |
| 2004 | 214,797 | -67.0% |
| 2005 | 44,346 | -79.4% |
| 2006 | 30,807 | -30.5% |
| 2007 | 46,528 | +51.0% |
| 2008 | 15,059 | -67.6% |
| 2009 | 82,146 | +445.5% |
| 2010 | 58,026 | -29.4% |
| 2011 | 60,584 | +4.4% |
| 2012 | 60,484 | -0.2% |
| 2013 | 57,631 | -4.7% |
| 2014 | 36,058 | -37.4% |
| 2015 | 25,383 | -29.6% |
| 2016 | -21.79 million | -85925.2% |
| 2017 | -29.18 million | +34.0% |
| 2018 | 64,949 | -100.2% |
| 2019 | 91,430 | +40.8% |
Brazil compared with similar countries
- Brazil's 91,430 is above the median for upper middle income countries, which is -5. (49 countries reporting)
- Brazil's 91,430 is above the median for Latin America & Caribbean, which is 2.5, 36572.0× the median. (30 countries reporting)
Biggest year-on-year movements
Years where Net food imports by crop - Rice, paddy, gaps filled in Brazil 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 |
|---|---|---|---|
| 1986 | +266489.4% | 160 | 426,543 |
| 1990 | +243810.3% | -29 | 70,676 |
| 2016 | -85925.2% | 25,383 | -21.79 million |
| 1977 | +4445.5% | 11 | 500 |
| 1979 | +1409.1% | 33 | 498 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 7 | 0 | 57 | 9 |
| 1970s | 250.9 | 0 | 847 | 10 |
| 1980s | 47,847 | -29 | 426,543 | 10 |
| 1990s | 278,191 | 70,676 | 637,577 | 10 |
| 2000s | 164,092 | 15,059 | 650,152 | 10 |
| 2010s | -5.05 million | -29.18 million | 91,430 | 10 |
Countries ranked near Brazil
More reference data data for Brazil
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 13.82 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 72.83 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 139.27 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 9.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 139.27 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 46.34 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 18.99 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 405.35 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 699.19 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 49.04 (2050)
Frequently asked questions
- What is net food imports by crop - rice, paddy, gaps filled in Brazil?
- Net food imports by crop - rice, paddy, gaps filled in Brazil was 91,430 in 2019, according to Statizoid (derived).
- What is the highest net food imports by crop - rice, paddy, gaps filled recorded in Brazil?
- The highest recorded value was 650,152 in 2003.
- What is the lowest net food imports by crop - rice, paddy, gaps filled recorded in Brazil?
- The lowest recorded value was -29.18 million in 2017.
- How does Brazil rank for net food imports by crop - rice, paddy, gaps filled?
- Brazil ranks 9th out of 168 countries with data for 2019.
- Is net food imports by crop - rice, paddy, gaps filled rising or falling in Brazil?
- Over the last ten years it is up 11.3%. The long-run trend across the full record is volatile.
- Where does this Brazil data come from?
- The figures come from Statizoid (derived), published as part of Net food imports by crop - Rice, paddy, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 59 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Net food imports by crop - Rice, paddy with 90 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Net food imports by crop - Rice, paddy FAOSTAT. Available at: http://www.fao.org/faostat/en/#data
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
Net food imports by crop - Rice, paddy with 90 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.