Net food imports by crop - Barley, gaps filled in Sweden
Sweden: Net food imports by crop - Barley, gaps filled was -110,683 in 2019. ◆ Volatile
Net food imports by crop - Barley, gaps filled in Sweden, 1961–2019
Source: Statizoid (derived).
Analysis
In 2019, net food imports by crop - barley, gaps filled in Sweden stood at -110,683.
The figure is up 54.5% on the previous year and up 36.3% over ten years.
Over the whole period, net food imports by crop - barley, gaps filled in Sweden peaked at 11,126 in 1974 and was at its lowest, -610,509, in 2000.
That places Sweden 138th out of 158 countries with data for 2019, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Net food imports by crop - Barley, gaps filled in Sweden, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | -93,100 | — |
| 1962 | -53,200 | -42.9% |
| 1963 | -72,100 | +35.5% |
| 1964 | -72,700 | +0.8% |
| 1965 | -114,400 | +57.4% |
| 1966 | -46,906 | -59.0% |
| 1967 | -153,685 | +227.6% |
| 1968 | -112,458 | -26.8% |
| 1969 | -200,687 | +78.5% |
| 1970 | -91,227 | -54.5% |
| 1971 | -437,649 | +379.7% |
| 1972 | -291,002 | -33.5% |
| 1973 | -86,010 | -70.4% |
| 1974 | 11,126 | -112.9% |
| 1975 | -310,508 | -2890.8% |
| 1976 | -141,075 | -54.6% |
| 1977 | -80,040 | -43.3% |
| 1978 | -113,075 | +41.3% |
| 1979 | -295,739 | +161.5% |
| 1980 | -233,584 | -21.0% |
| 1981 | -108,264 | -53.7% |
| 1982 | -112,222 | +3.7% |
| 1983 | -133,565 | +19.0% |
| 1984 | -63,685 | -52.3% |
| 1985 | -428,494 | +572.8% |
| 1986 | -327,700 | -23.5% |
| 1987 | -192,564 | -41.2% |
| 1988 | -37,769 | -80.4% |
| 1989 | -4,404 | -88.3% |
| 1990 | -87,533 | +1887.6% |
| 1991 | -492,146 | +462.2% |
| 1992 | -321,461 | -34.7% |
| 1993 | -4,676 | -98.5% |
| 1994 | -166,005 | +3450.1% |
| 1995 | -85,926 | -48.2% |
| 1996 | -366,335 | +326.3% |
| 1997 | -382,931 | +4.5% |
| 1998 | -190,240 | -50.3% |
| 1999 | -446,352 | +134.6% |
| 2000 | -610,509 | +36.8% |
| 2001 | -217,208 | -64.4% |
| 2002 | -36,266 | -83.3% |
| 2003 | -291,211 | +703.0% |
| 2004 | -100,967 | -65.3% |
| 2005 | -213,951 | +111.9% |
| 2006 | -213,092 | -0.4% |
| 2007 | -128,341 | -39.8% |
| 2008 | -244,740 | +90.7% |
| 2009 | -173,721 | -29.0% |
| 2010 | -425,390 | +144.9% |
| 2011 | -229,056 | -46.2% |
| 2012 | -433,434 | +89.2% |
| 2013 | -337,999 | -22.0% |
| 2014 | -474,826 | +40.5% |
| 2015 | -409,946 | -13.7% |
| 2016 | -399,087 | -2.6% |
| 2017 | -395,094 | -1.0% |
| 2018 | -243,078 | -38.5% |
| 2019 | -110,683 | -54.5% |
Biggest year-on-year movements
Years where Net food imports by crop - Barley, gaps filled in Sweden 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 |
|---|---|---|---|
| 1994 | -3450.1% | -4,676 | -166,005 |
| 1975 | -2890.8% | 11,126 | -310,508 |
| 1990 | -1887.6% | -4,404 | -87,533 |
| 2003 | -703.0% | -36,266 | -291,211 |
| 1985 | -572.8% | -63,685 | -428,494 |
| 1991 | -462.2% | -87,533 | -492,146 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -102,137 | -200,687 | -46,906 | 9 |
| 1970s | -183,520 | -437,649 | 11,126 | 10 |
| 1980s | -164,225 | -428,494 | -4,404 | 10 |
| 1990s | -254,360 | -492,146 | -4,676 | 10 |
| 2000s | -223,001 | -610,509 | -36,266 | 10 |
| 2010s | -345,859 | -474,826 | -110,683 | 10 |
Countries ranked near Sweden
More reference data data for Sweden
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4328 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2237 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.68 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2063 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.68 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.45 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.9766 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.13 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 8.03 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.12 (2050)
Frequently asked questions
- What is net food imports by crop - barley, gaps filled in Sweden?
- Net food imports by crop - barley, gaps filled in Sweden was -110,683 in 2019, according to Statizoid (derived).
- What is the highest net food imports by crop - barley, gaps filled recorded in Sweden?
- The highest recorded value was 11,126 in 1974.
- What is the lowest net food imports by crop - barley, gaps filled recorded in Sweden?
- The lowest recorded value was -610,509 in 2000.
- How does Sweden rank for net food imports by crop - barley, gaps filled?
- Sweden ranks 138th out of 158 countries with data for 2019.
- Is net food imports by crop - barley, gaps filled rising or falling in Sweden?
- Over the last ten years it is up 36.3%. The long-run trend across the full record is volatile.
- Where does this Sweden data come from?
- The figures come from Statizoid (derived), published as part of Net food imports by crop - Barley, 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 - Barley with 67 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 - Barley 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 - Barley with 67 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.