Cauliflowers and broccoli — Gross per capita Production Index Number in Southern Asia
Southern Asia: Cauliflowers and broccoli — Gross per capita Production Index Number was 110.37 in 2024. ▲ Rising
Cauliflowers and broccoli — Gross per capita Production Index Number in Southern Asia, 1961–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for cauliflowers and broccoli — gross per capita production index number in Southern Asia is 110.37, measured in 2024. That is the highest value across all 64 years on record.
The figure is up 2.0% on the previous year and up 5.2% over ten years.
Over the whole period, cauliflowers and broccoli — gross per capita production index number in Southern Asia peaked at 110.37 in 2024 and was at its lowest, 14.91, in 1962.
Southern Asia ranks 7th of 28 groups on this measure, in the top quarter.
The long-run direction has been consistently rising across the 64 years of available data.
Cauliflowers and broccoli — Gross per capita Production Index Number in Southern Asia, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | 15.79 | — |
| 1962 | 14.91 | -5.6% |
| 1963 | 14.91 | +0.0% |
| 1964 | 17.61 | +18.1% |
| 1965 | 17.92 | +1.8% |
| 1966 | 20.08 | +12.1% |
| 1967 | 21.22 | +5.7% |
| 1968 | 23.9 | +12.6% |
| 1969 | 27.91 | +16.8% |
| 1970 | 28.75 | +3.0% |
| 1971 | 29.54 | +2.7% |
| 1972 | 31.41 | +6.3% |
| 1973 | 30.59 | -2.6% |
| 1974 | 35.17 | +15.0% |
| 1975 | 34.45 | -2.0% |
| 1976 | 36.16 | +5.0% |
| 1977 | 37.71 | +4.3% |
| 1978 | 39.25 | +4.1% |
| 1979 | 43.04 | +9.7% |
| 1980 | 46.06 | +7.0% |
| 1981 | 47.5 | +3.1% |
| 1982 | 50.43 | +6.2% |
| 1983 | 51.42 | +2.0% |
| 1984 | 52.55 | +2.2% |
| 1985 | 55.33 | +5.3% |
| 1986 | 56.34 | +1.8% |
| 1987 | 58.67 | +4.1% |
| 1988 | 59.25 | +1.0% |
| 1989 | 61.77 | +4.3% |
| 1990 | 64.48 | +4.4% |
| 1991 | 56.26 | -12.7% |
| 1992 | 75.97 | +35.0% |
| 1993 | 51.9 | -31.7% |
| 1994 | 66.32 | +27.8% |
| 1995 | 68.7 | +3.6% |
| 1996 | 75.27 | +9.6% |
| 1997 | 81.49 | +8.3% |
| 1998 | 72 | -11.6% |
| 1999 | 73.94 | +2.7% |
| 2000 | 72.96 | -1.3% |
| 2001 | 71.11 | -2.5% |
| 2002 | 72.77 | +2.3% |
| 2003 | 70.28 | -3.4% |
| 2004 | 71.27 | +1.4% |
| 2005 | 64.56 | -9.4% |
| 2006 | 74.41 | +15.3% |
| 2007 | 76.2 | +2.4% |
| 2008 | 78.31 | +2.8% |
| 2009 | 86.83 | +10.9% |
| 2010 | 85.78 | -1.2% |
| 2011 | 86.97 | +1.4% |
| 2012 | 93.07 | +7.0% |
| 2013 | 98.05 | +5.4% |
| 2014 | 104.93 | +7.0% |
| 2015 | 97.2 | -7.4% |
| 2016 | 97.87 | +0.7% |
| 2017 | 102.09 | +4.3% |
| 2018 | 102.04 | -0.0% |
| 2019 | 105.53 | +3.4% |
| 2020 | 102.57 | -2.8% |
| 2021 | 106.07 | +3.4% |
| 2022 | 108.8 | +2.6% |
| 2023 | 108.25 | -0.5% |
| 2024 | 110.37 | +2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 19.36 | 14.91 | 27.91 | 9 |
| 1970s | 34.61 | 28.75 | 43.04 | 10 |
| 1980s | 53.93 | 46.06 | 61.77 | 10 |
| 1990s | 68.63 | 51.9 | 81.49 | 10 |
| 2000s | 73.87 | 64.56 | 86.83 | 10 |
| 2010s | 97.35 | 85.78 | 105.53 | 10 |
| 2020s | 107.21 | 102.57 | 110.37 | 5 |
Countries ranked near Southern Asia
- 4 Albania 188.6 compare
- 5 Dominican Republic 170.16 compare
- 5 Republic of Moldova 106.56 compare
- 6 Trinidad and Tobago 165.8 compare
- 7 Bangladesh 164.58 compare
- 7 Bolivia (Plurinational State of) 104.23 compare
- 8 Oman 163.74 compare
- 8 Venezuela (Bolivarian Republic of) 100 compare
- 9 Philippines 161.37 compare
- 9 Syrian Arab Republic 98.92 compare
- 10 Chile 151.35 compare
- 10 Iran (Islamic Republic of) 93.3 compare
More agriculture & rural data for Southern Asia
- Beef and Buffalo Meat, primary — Yield/Carcass Weight, annual growth 1.9 % change on previous year (2024)
- Cereals, primary — Production, annual growth rate 4.15 % change on previous year (2024)
- Cereals, primary — Yield, annual growth rate 0.8614 % change on previous year (2024)
- Cereals, primary — Area harvested, annual growth rate 3.26 % change on previous year (2024)
- Cattle and Buffaloes — Stocks, annual growth rate 1.08 % change on previous year (2024)
- Beef and Buffalo Meat, primary — Producing Animals/Slaughtered 2.8 % change on previous year (2024)
- Beef and Buffalo Meat, primary — Production, annual growth rate 4.72 % change on previous year (2024)
- Raw milk of cattle — Production, annual growth rate 5.62 % change on previous year (2024)
- Raw milk of cattle — Milk Animals, annual growth rate 4.28 % change on previous year (2024)
- Sheep — Stocks, annual growth rate 3.87 % change on previous year (2024)
Frequently asked questions
- What is cauliflowers and broccoli — gross per capita production index number in Southern Asia?
- Cauliflowers and broccoli — gross per capita production index number in Southern Asia was 110.37 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest cauliflowers and broccoli — gross per capita production index number recorded in Southern Asia?
- The highest recorded value was 110.37 in 2024.
- What is the lowest cauliflowers and broccoli — gross per capita production index number recorded in Southern Asia?
- The lowest recorded value was 14.91 in 1962.
- How does Southern Asia rank for cauliflowers and broccoli — gross per capita production index number?
- Southern Asia ranks 7th out of 28 groups with data for 2024.
- Is cauliflowers and broccoli — gross per capita production index number rising or falling in Southern Asia?
- Over the last ten years it is up 5.2%. The long-run trend across the full record is rising.
- Where does this Southern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cauliflowers and broccoli — 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.