Seed cotton, unginned — Gross per capita Production Index Number in Southern Africa
Southern Africa: Seed cotton, unginned — Gross per capita Production Index Number was 123.22 in 2024. ◆ Volatile
Seed cotton, unginned — Gross per capita Production Index Number in Southern Africa, 1961–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
Southern Africa recorded 123.22 for seed cotton, unginned — gross per capita production index number in 2024.
The figure is up 10.6% on the previous year and up 70.1% over ten years.
Over the whole period, seed cotton, unginned — gross per capita production index number in Southern Africa peaked at 1,019 in 1980 and was at its lowest, 46.4, in 2013.
That places Southern Africa 5th out of 26 groups with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Seed cotton, unginned — Gross per capita Production Index Number in Southern Africa, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | 237.98 | — |
| 1962 | 254.85 | +7.1% |
| 1963 | 424.32 | +66.5% |
| 1964 | 377 | -11.2% |
| 1965 | 559.75 | +48.5% |
| 1966 | 458.11 | -18.2% |
| 1967 | 360.46 | -21.3% |
| 1968 | 374.83 | +4.0% |
| 1969 | 511.81 | +36.5% |
| 1970 | 363.44 | -29.0% |
| 1971 | 345.65 | -4.9% |
| 1972 | 347.22 | +0.5% |
| 1973 | 376.89 | +8.5% |
| 1974 | 752.09 | +99.6% |
| 1975 | 767.4 | +2.0% |
| 1976 | 348.16 | -54.6% |
| 1977 | 610.31 | +75.3% |
| 1978 | 868.35 | +42.3% |
| 1979 | 885.39 | +2.0% |
| 1980 | 1,019 | +15.1% |
| 1981 | 884.98 | -13.1% |
| 1982 | 546.74 | -38.2% |
| 1983 | 386.41 | -29.3% |
| 1984 | 482.97 | +25.0% |
| 1985 | 600.7 | +24.4% |
| 1986 | 596.7 | -0.7% |
| 1987 | 684.63 | +14.7% |
| 1988 | 910.61 | +33.0% |
| 1989 | 874.51 | -4.0% |
| 1990 | 732.32 | -16.3% |
| 1991 | 571.77 | -21.9% |
| 1992 | 228.36 | -60.1% |
| 1993 | 173.63 | -24.0% |
| 1994 | 289.85 | +66.9% |
| 1995 | 266.39 | -8.1% |
| 1996 | 476.44 | +78.9% |
| 1997 | 336.6 | -29.4% |
| 1998 | 432.68 | +28.5% |
| 1999 | 522.47 | +20.8% |
| 2000 | 293.55 | -43.8% |
| 2001 | 346.94 | +18.2% |
| 2002 | 183.34 | -47.2% |
| 2003 | 148.84 | -18.8% |
| 2004 | 277.96 | +86.8% |
| 2005 | 191.13 | -31.2% |
| 2006 | 133.34 | -30.2% |
| 2007 | 100.3 | -24.8% |
| 2008 | 89.16 | -11.1% |
| 2009 | 75.14 | -15.7% |
| 2010 | 70.5 | -6.2% |
| 2011 | 143.48 | +103.5% |
| 2012 | 101.12 | -29.5% |
| 2013 | 46.4 | -54.1% |
| 2014 | 72.43 | +56.1% |
| 2015 | 146.67 | +102.5% |
| 2016 | 80.9 | -44.8% |
| 2017 | 118.89 | +47.0% |
| 2018 | 273.57 | +130.1% |
| 2019 | 339.27 | +24.0% |
| 2020 | 191.32 | -43.6% |
| 2021 | 108.47 | -43.3% |
| 2022 | 107.93 | -0.5% |
| 2023 | 111.45 | +3.3% |
| 2024 | 123.22 | +10.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 395.46 | 237.98 | 559.75 | 9 |
| 1970s | 566.49 | 345.65 | 885.39 | 10 |
| 1980s | 698.71 | 386.41 | 1,019 | 10 |
| 1990s | 403.05 | 173.63 | 732.32 | 10 |
| 2000s | 183.97 | 75.14 | 346.94 | 10 |
| 2010s | 139.32 | 46.4 | 339.27 | 10 |
| 2020s | 128.48 | 107.93 | 191.32 | 5 |
Countries ranked near Southern Africa
- 2 Philippines 283.64 compare
- 2 United Republic of Tanzania 106.87 compare
- 3 Central African Republic 281.36 compare
- 3 Venezuela (Bolivarian Republic of) 100 compare
- 4 Sudan 242.01 compare
- 5 Türkiye 94.44 compare
- 5 Zimbabwe 236.56 compare
- 6 Bulgaria 216.43 compare
- 7 Brazil 207.64 compare
- 8 Afghanistan 188.45 compare
- 8 Democratic People's Republic of Korea 88.69 compare
More agriculture & rural data for Southern Africa
- Sheep and Goat Meat — Yield/Carcass Weight, annual growth rate 7.69 % change on previous year (2024)
- Sugar Crops Primary — Area harvested, annual growth rate -6.85 % change on previous year (2024)
- Sheep and Goats — Stocks, annual growth rate -1.58 % change on previous year (2024)
- Sheep and Goat Meat — Producing Animals/Slaughtered, annual growth -0.9504 % change on previous year (2024)
- Sheep and Goat Meat — Production, annual growth rate 7.87 % change on previous year (2024)
- Roots and Tubers, Total — Yield, annual growth rate 4.35 % change on previous year (2024)
- Pulses, Total — Production, annual growth rate 6.71 % change on previous year (2024)
- Roots and Tubers, Total — Area harvested, annual growth rate 1.88 % change on previous year (2024)
- Sugar Crops Primary — Yield, annual growth rate 3.23 % change on previous year (2024)
- Roots and Tubers, Total — Production, annual growth rate 6.31 % change on previous year (2024)
Frequently asked questions
- What is seed cotton, unginned — gross per capita production index number in Southern Africa?
- Seed cotton, unginned — gross per capita production index number in Southern Africa was 123.22 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest seed cotton, unginned — gross per capita production index number recorded in Southern Africa?
- The highest recorded value was 1,019 in 1980.
- What is the lowest seed cotton, unginned — gross per capita production index number recorded in Southern Africa?
- The lowest recorded value was 46.4 in 2013.
- How does Southern Africa rank for seed cotton, unginned — gross per capita production index number?
- Southern Africa ranks 5th out of 26 groups with data for 2024.
- Is seed cotton, unginned — gross per capita production index number rising or falling in Southern Africa?
- Over the last ten years it is up 70.1%. The long-run trend across the full record is volatile.
- Where does this Southern Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Seed cotton, unginned — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.