Wood pulp — Import value, annual growth rate in Northern Africa
Northern Africa: Wood pulp — Import value, annual growth rate was -5.3 % change on previous year in 2024. ◆ Volatile
Wood pulp — Import value, annual growth rate in Northern Africa, 1962–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Northern Africa recorded -5.3 % change on previous year for wood pulp — import value, annual growth rate in 2024.
Compared with earlier readings it is up 56.6% on the previous year and down 327.7% over ten years.
Over the whole period, wood pulp — import value, annual growth rate in Northern Africa peaked at 275.56 % change on previous year in 1968 and was at its lowest, -60.14 % change on previous year, in 1975.
Northern Africa ranks 26th 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 Northern Africa, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1962 | 16.06 % change on previous year | — |
| 1963 | -39.17 % change on previous year | -343.9% |
| 1964 | 29.43 % change on previous year | -175.1% |
| 1965 | 16.7 % change on previous year | -43.2% |
| 1966 | 38.33 % change on previous year | +129.5% |
| 1967 | -14.44 % change on previous year | -137.7% |
| 1968 | 275.56 % change on previous year | -2008.8% |
| 1969 | 10.63 % change on previous year | -96.1% |
| 1970 | 10.67 % change on previous year | +0.4% |
| 1971 | -18.85 % change on previous year | -276.7% |
| 1972 | -14.95 % change on previous year | -20.7% |
| 1973 | 65.37 % change on previous year | -537.3% |
| 1974 | 75.35 % change on previous year | +15.3% |
| 1975 | -60.14 % change on previous year | -179.8% |
| 1976 | 78.93 % change on previous year | -231.2% |
| 1977 | 3.45 % change on previous year | -95.6% |
| 1978 | -0.4895 % change on previous year | -114.2% |
| 1979 | 22.55 % change on previous year | -4706.4% |
| 1980 | 61.02 % change on previous year | +170.6% |
| 1981 | -2.69 % change on previous year | -104.4% |
| 1982 | -11.6 % change on previous year | +330.5% |
| 1983 | 24.53 % change on previous year | -311.5% |
| 1984 | 3.37 % change on previous year | -86.3% |
| 1985 | 6.77 % change on previous year | +100.9% |
| 1986 | -23.29 % change on previous year | -444.2% |
| 1987 | 14.41 % change on previous year | -161.9% |
| 1988 | 71.21 % change on previous year | +394.3% |
| 1989 | 27.68 % change on previous year | -61.1% |
| 1990 | 9.21 % change on previous year | -66.7% |
| 1991 | -38.42 % change on previous year | -517.0% |
| 1992 | 57.46 % change on previous year | -249.6% |
| 1993 | -28.06 % change on previous year | -148.8% |
| 1994 | 17.19 % change on previous year | -161.3% |
| 1995 | 65.16 % change on previous year | +279.0% |
| 1996 | -25.27 % change on previous year | -138.8% |
| 1997 | -33.17 % change on previous year | +31.3% |
| 1998 | 11.38 % change on previous year | -134.3% |
| 1999 | -19.58 % change on previous year | -272.1% |
| 2000 | 41.12 % change on previous year | -309.9% |
| 2001 | -26.11 % change on previous year | -163.5% |
| 2002 | 9.08 % change on previous year | -134.8% |
| 2003 | 33.1 % change on previous year | +264.6% |
| 2004 | 6.08 % change on previous year | -81.6% |
| 2005 | -5.87 % change on previous year | -196.6% |
| 2006 | -17.51 % change on previous year | +198.3% |
| 2007 | 59.21 % change on previous year | -438.1% |
| 2008 | 112.74 % change on previous year | +90.4% |
| 2009 | -28.24 % change on previous year | -125.0% |
| 2010 | -9.99 % change on previous year | -64.6% |
| 2011 | -0.3724 % change on previous year | -96.3% |
| 2012 | 6.02 % change on previous year | -1717.7% |
| 2013 | 82.2 % change on previous year | +1264.4% |
| 2014 | 2.33 % change on previous year | -97.2% |
| 2015 | 7.44 % change on previous year | +219.9% |
| 2016 | -8.11 % change on previous year | -209.1% |
| 2017 | 5.2 % change on previous year | -164.2% |
| 2018 | 20.64 % change on previous year | +296.6% |
| 2019 | 0.6327 % change on previous year | -96.9% |
| 2020 | -25.47 % change on previous year | -4126.1% |
| 2021 | 41.48 % change on previous year | -262.8% |
| 2022 | 33.54 % change on previous year | -19.1% |
| 2023 | -12.19 % change on previous year | -136.4% |
| 2024 | -5.3 % change on previous year | -56.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 41.64 % change on previous year | -39.17 % change on previous year | 275.56 % change on previous year | 8 |
| 1970s | 16.19 % change on previous year | -60.14 % change on previous year | 78.93 % change on previous year | 10 |
| 1980s | 17.14 % change on previous year | -23.29 % change on previous year | 71.21 % change on previous year | 10 |
| 1990s | 1.59 % change on previous year | -38.42 % change on previous year | 65.16 % change on previous year | 10 |
| 2000s | 18.36 % change on previous year | -28.24 % change on previous year | 112.74 % change on previous year | 10 |
| 2010s | 10.6 % change on previous year | -9.99 % change on previous year | 82.2 % change on previous year | 10 |
| 2020s | 6.41 % change on previous year | -25.47 % change on previous year | 41.48 % change on previous year | 5 |
Countries ranked near Northern Africa
- 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
- 29 Uruguay 28.14 % change on previous year compare
More environment data for Northern Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly -20 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -13.93 Percentage change (2025)
- Standard Deviation 0.281 °C (2025)
- Temperature change 1.61 °C (2025)
- Recovered paper — Production 701,000 t (2024)
- Total fibre furnish — Production 864,000 t (2024)
- Agricultural land — Share in Land area 27.72 % (2024)
- Nutrient potash K2O (total) — Use per area of cropland 4.57 kg/ha (2024)
- Nutrient potash K2O (total) — Use per capita 0.84 kg/cap (2024)
Frequently asked questions
- What is wood pulp — import value, annual growth rate in Northern Africa?
- Wood pulp — import value, annual growth rate in Northern Africa was -5.3 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest wood pulp — import value, annual growth rate recorded in Northern Africa?
- The highest recorded value was 275.56 % change on previous year in 1968.
- What is the lowest wood pulp — import value, annual growth rate recorded in Northern Africa?
- The lowest recorded value was -60.14 % change on previous year in 1975.
- How does Northern Africa rank for wood pulp — import value, annual growth rate?
- Northern Africa ranks 26th out of 31 groups with data for 2024.
- Is wood pulp — import value, annual growth rate rising or falling in Northern Africa?
- Over the last ten years it is down 327.7%. The long-run trend across the full record is volatile.
- Where does this Northern 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 — 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.