Wood pulp — Import value, annual growth rate in Southern Africa
Southern Africa: Wood pulp — Import value, annual growth rate was 28.02 % change on previous year in 2024. ◆ Volatile
Latest (2024)
28.02 % change on previous year
Change on year
up 162.8%
Rank
3rd
of 31 groups
All-time high
224.41 % change on previous year
in 1963
All-time low
-93.92 % change on previous year
in 1964
Years of data
62
1962–2024
Wood pulp — Import value, annual growth rate in Southern Africa, 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 Southern Africa is 28.02 % change on previous year, measured in 2024.
Compared with earlier readings it is up 162.8% on the previous year and up 15.1% over ten years.
Over the whole period, wood pulp — import value, annual growth rate in Southern Africa peaked at 224.41 % change on previous year in 1963 and was at its lowest, -93.92 % change on previous year, in 1964.
That places Southern Africa 3rd out of 31 groups with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Wood pulp — Import value, annual growth rate in Southern Africa, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1962 | -54.77 % change on previous year | — |
| 1963 | 224.41 % change on previous year | -509.8% |
| 1964 | -93.92 % change on previous year | -141.8% |
| 1965 | -6.78 % change on previous year | -92.8% |
| 1966 | 94.55 % change on previous year | -1494.5% |
| 1967 | 4.67 % change on previous year | -95.1% |
| 1969 | 92 % change on previous year | +1868.7% |
| 1970 | 32.99 % change on previous year | -64.1% |
| 1971 | 0.2612 % change on previous year | -99.2% |
| 1972 | 12.71 % change on previous year | +4764.2% |
| 1973 | 61.07 % change on previous year | +380.6% |
| 1974 | 121.06 % change on previous year | +98.2% |
| 1975 | -11.92 % change on previous year | -109.8% |
| 1976 | -4.14 % change on previous year | -65.3% |
| 1977 | -3.37 % change on previous year | -18.5% |
| 1978 | 6.17 % change on previous year | -282.9% |
| 1979 | 43.68 % change on previous year | +607.5% |
| 1980 | 46.78 % change on previous year | +7.1% |
| 1981 | 16.49 % change on previous year | -64.7% |
| 1982 | -41.37 % change on previous year | -350.9% |
| 1983 | 50.2 % change on previous year | -221.3% |
| 1984 | 0.9409 % change on previous year | -98.1% |
| 1985 | -75.98 % change on previous year | -8175.6% |
| 1986 | -1.08 % change on previous year | -98.6% |
| 1987 | 9.11 % change on previous year | -945.8% |
| 1988 | 5.69 % change on previous year | -37.5% |
| 1989 | 90.44 % change on previous year | +1488.5% |
| 1990 | 2.46 % change on previous year | -97.3% |
| 1991 | 0 % change on previous year | -100.0% |
| 1992 | -49.07 % change on previous year | — |
| 1993 | 3.73 % change on previous year | -107.6% |
| 1994 | 51.64 % change on previous year | +1283.2% |
| 1995 | 44.77 % change on previous year | -13.3% |
| 1996 | -9.82 % change on previous year | -121.9% |
| 1997 | 0 % change on previous year | -100.0% |
| 1998 | -22.9 % change on previous year | — |
| 1999 | -6.86 % change on previous year | -70.0% |
| 2000 | 0.023 % change on previous year | -100.3% |
| 2001 | -15.99 % change on previous year | -69570.0% |
| 2002 | 18.8 % change on previous year | -217.6% |
| 2003 | 3.93 % change on previous year | -79.1% |
| 2004 | 16.69 % change on previous year | +324.4% |
| 2005 | 1.62 % change on previous year | -90.3% |
| 2006 | -39.79 % change on previous year | -2558.4% |
| 2007 | 198.28 % change on previous year | -598.4% |
| 2008 | -9.35 % change on previous year | -104.7% |
| 2009 | -38.75 % change on previous year | +314.4% |
| 2010 | 32.62 % change on previous year | -184.2% |
| 2011 | 23.05 % change on previous year | -29.3% |
| 2012 | -10.26 % change on previous year | -144.5% |
| 2013 | 53.94 % change on previous year | -626.0% |
| 2014 | 24.36 % change on previous year | -54.8% |
| 2015 | -9.73 % change on previous year | -140.0% |
| 2016 | 3.49 % change on previous year | -135.9% |
| 2017 | 0.6782 % change on previous year | -80.6% |
| 2018 | 55.49 % change on previous year | +8081.8% |
| 2019 | -22.71 % change on previous year | -140.9% |
| 2020 | -27.01 % change on previous year | +19.0% |
| 2021 | 37.05 % change on previous year | -237.2% |
| 2022 | 76.45 % change on previous year | +106.3% |
| 2023 | -44.6 % change on previous year | -158.3% |
| 2024 | 28.02 % change on previous year | -162.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 37.17 % change on previous year | -93.92 % change on previous year | 224.41 % change on previous year | 7 |
| 1970s | 25.85 % change on previous year | -11.92 % change on previous year | 121.06 % change on previous year | 10 |
| 1980s | 10.12 % change on previous year | -75.98 % change on previous year | 90.44 % change on previous year | 10 |
| 1990s | 1.4 % change on previous year | -49.07 % change on previous year | 51.64 % change on previous year | 10 |
| 2000s | 13.55 % change on previous year | -39.79 % change on previous year | 198.28 % change on previous year | 10 |
| 2010s | 15.09 % change on previous year | -22.71 % change on previous year | 55.49 % change on previous year | 10 |
| 2020s | 13.98 % change on previous year | -44.6 % change on previous year | 76.45 % change on previous year | 5 |
Countries ranked near Southern Africa
- 1 Namibia 904.35 % change on previous year compare
- 2 Malta 700 % change on previous year compare
- 3 Cambodia 572.9 % change on previous year compare
- 4 Mongolia 338.85 % change on previous year compare
- 5 Mauritania 297.18 % change on previous year compare
- 6 Uganda 167.38 % change on previous year compare
More environment data for Southern Africa
- Historical exposure to drought — Land soil moisture anomaly 4.17 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 7.61 Percentage change (2025)
- Temperature change 0.892 °C (2025)
- Standard Deviation 0.282 °C (2025)
- Industrial roundwood — Export quantity 427,327 m3 (2024)
- Industrial roundwood, non-coniferous — Production 9.63 million m3 (2024)
- Industrial roundwood — Import value 35,013 1000 USD (2024)
- Industrial roundwood — Import quantity 161,260 m3 (2024)
- Industrial roundwood — Production 17.26 million m3 (2024)
Frequently asked questions
- What is wood pulp — import value, annual growth rate in Southern Africa?
- Wood pulp — import value, annual growth rate in Southern Africa was 28.02 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest wood pulp — import value, annual growth rate recorded in Southern Africa?
- The highest recorded value was 224.41 % change on previous year in 1963.
- What is the lowest wood pulp — import value, annual growth rate recorded in Southern Africa?
- The lowest recorded value was -93.92 % change on previous year in 1964.
- How does Southern Africa rank for wood pulp — import value, annual growth rate?
- Southern Africa ranks 3rd out of 31 groups with data for 2024.
- Is wood pulp — import value, annual growth rate rising or falling in Southern Africa?
- Over the last ten years it is up 15.1%. The long-run trend across the full record is volatile.
- Where does this Southern Africa 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 — 62 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.