Wood pulp — Import value, annual growth rate in Eastern Asia
Eastern Asia: Wood pulp — Import value, annual growth rate was -5.05 % change on previous year in 2024. ◆ Volatile
Wood pulp — Import value, annual growth rate in Eastern Asia, 1962–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for wood pulp — import value, annual growth rate in Eastern Asia is -5.05 % change on previous year, measured in 2024.
Compared with earlier readings it is down 289.7% on the previous year and down 227.6% over ten years.
Over the whole period, wood pulp — import value, annual growth rate in Eastern Asia peaked at 96.2 % change on previous year in 1974 and was at its lowest, -24.38 % change on previous year, in 1975.
Eastern Asia ranks 25th of 31 groups on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Wood pulp — Import value, annual growth rate in Eastern Asia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1962 | 25.37 % change on previous year | — |
| 1963 | 76.93 % change on previous year | +203.2% |
| 1964 | 18.31 % change on previous year | -76.2% |
| 1965 | -3.45 % change on previous year | -118.9% |
| 1966 | 40.87 % change on previous year | -1284.0% |
| 1967 | 5.71 % change on previous year | -86.0% |
| 1968 | 34.1 % change on previous year | +497.4% |
| 1969 | 7.41 % change on previous year | -78.3% |
| 1970 | 24.4 % change on previous year | +229.4% |
| 1971 | -6.03 % change on previous year | -124.7% |
| 1972 | 12.56 % change on previous year | -308.3% |
| 1973 | 51.99 % change on previous year | +314.0% |
| 1974 | 96.2 % change on previous year | +85.0% |
| 1975 | -24.38 % change on previous year | -125.3% |
| 1976 | 7.8 % change on previous year | -132.0% |
| 1977 | 2.03 % change on previous year | -74.0% |
| 1978 | 32.59 % change on previous year | +1503.8% |
| 1979 | 35.41 % change on previous year | +8.6% |
| 1980 | 48.35 % change on previous year | +36.6% |
| 1981 | -12.05 % change on previous year | -124.9% |
| 1982 | -7.67 % change on previous year | -36.3% |
| 1983 | 9.38 % change on previous year | -222.3% |
| 1984 | 18.57 % change on previous year | +97.8% |
| 1985 | -6.55 % change on previous year | -135.3% |
| 1986 | 14.72 % change on previous year | -324.9% |
| 1987 | 40.49 % change on previous year | +175.1% |
| 1988 | 35.14 % change on previous year | -13.2% |
| 1989 | 18.7 % change on previous year | -46.8% |
| 1990 | -15.36 % change on previous year | -182.2% |
| 1991 | -6.29 % change on previous year | -59.1% |
| 1992 | -0.8948 % change on previous year | -85.8% |
| 1993 | -18.28 % change on previous year | +1942.7% |
| 1994 | 53.81 % change on previous year | -394.4% |
| 1995 | 54.7 % change on previous year | +1.7% |
| 1996 | -24.25 % change on previous year | -144.3% |
| 1997 | -10.16 % change on previous year | -58.1% |
| 1998 | -5.74 % change on previous year | -43.5% |
| 1999 | 15.45 % change on previous year | -369.3% |
| 2000 | 34.38 % change on previous year | +122.6% |
| 2001 | -15.1 % change on previous year | -143.9% |
| 2002 | -3.58 % change on previous year | -76.3% |
| 2003 | 14.73 % change on previous year | -511.4% |
| 2004 | 23.57 % change on previous year | +60.0% |
| 2005 | 1.35 % change on previous year | -94.3% |
| 2006 | 14.83 % change on previous year | +1000.9% |
| 2007 | 19.5 % change on previous year | +31.5% |
| 2008 | 15.35 % change on previous year | -21.3% |
| 2009 | -10.36 % change on previous year | -167.5% |
| 2010 | 34.33 % change on previous year | -431.3% |
| 2011 | 24.93 % change on previous year | -27.4% |
| 2012 | -9.94 % change on previous year | -139.9% |
| 2013 | 2.97 % change on previous year | -129.8% |
| 2014 | 3.96 % change on previous year | +33.5% |
| 2015 | 3.73 % change on previous year | -5.7% |
| 2016 | -5.51 % change on previous year | -247.5% |
| 2017 | 22.78 % change on previous year | -513.8% |
| 2018 | 26.66 % change on previous year | +17.1% |
| 2019 | -14.48 % change on previous year | -154.3% |
| 2020 | -12.19 % change on previous year | -15.8% |
| 2021 | 25.17 % change on previous year | -306.5% |
| 2022 | 12.55 % change on previous year | -50.2% |
| 2023 | 2.66 % change on previous year | -78.8% |
| 2024 | -5.05 % change on previous year | -289.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 25.66 % change on previous year | -3.45 % change on previous year | 76.93 % change on previous year | 8 |
| 1970s | 23.26 % change on previous year | -24.38 % change on previous year | 96.2 % change on previous year | 10 |
| 1980s | 15.91 % change on previous year | -12.05 % change on previous year | 48.35 % change on previous year | 10 |
| 1990s | 4.3 % change on previous year | -24.25 % change on previous year | 54.7 % change on previous year | 10 |
| 2000s | 9.47 % change on previous year | -15.1 % change on previous year | 34.38 % change on previous year | 10 |
| 2010s | 8.94 % change on previous year | -14.48 % change on previous year | 34.33 % change on previous year | 10 |
| 2020s | 4.63 % change on previous year | -12.19 % change on previous year | 25.17 % change on previous year | 5 |
Countries ranked near Eastern Asia
- 22 Ghana 41.87 % change on previous year compare
- 23 Serbia and Montenegro 41.29 % change on previous year compare
- 24 Armenia 38.1 % change on previous year compare
- 25 Serbia 34.27 % change on previous year compare
- 26 Belgium-Luxembourg 32.79 % change on previous year compare
- 27 Kuwait 31.38 % change on previous year compare
- 28 Romania 29.8 % change on previous year compare
More environment data for Eastern Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.3 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2 Percentage change (2025)
- Standard Deviation 0.309 °C (2025)
- Temperature change 1.98 °C (2025)
- Recovered paper — Production 98.06 million t (2024)
- Total fibre furnish — Production 137.56 million t (2024)
- Nutrient nitrogen N (total) — Export quantity 6.03 million t (2024)
- Nutrient nitrogen N (total) — Agricultural Use 25.26 million t (2024)
- Nutrient potash K2O (total) — Agricultural Use 9.16 million t (2024)
Frequently asked questions
- What is wood pulp — import value, annual growth rate in Eastern Asia?
- Wood pulp — import value, annual growth rate in Eastern Asia was -5.05 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest wood pulp — import value, annual growth rate recorded in Eastern Asia?
- The highest recorded value was 96.2 % change on previous year in 1974.
- What is the lowest wood pulp — import value, annual growth rate recorded in Eastern Asia?
- The lowest recorded value was -24.38 % change on previous year in 1975.
- How does Eastern Asia rank for wood pulp — import value, annual growth rate?
- Eastern Asia ranks 25th out of 31 groups with data for 2024.
- Is wood pulp — import value, annual growth rate rising or falling in Eastern Asia?
- Over the last ten years it is down 227.6%. The long-run trend across the full record is volatile.
- Where does this Eastern Asia data come from?
- The figures come from Statizoid (derived), published as part of Wood pulp — Import value, 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 Wood pulp — Import value. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Wood pulp — Import 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 Wood pulp — Import value. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.