Food production index in Pre-demographic dividend
Pre-demographic dividend: Food production index was 100 2014-2016 = 100 in 2020. ▲ Rising
Food production index in Pre-demographic dividend, 1961–2020
Source: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO), publisher: Food and Agriculture Organization of the United Nations (FAO). Measured in 2014-2016 = 100.
Analysis
In 2020, food production index in Pre-demographic dividend stood at 100 2014-2016 = 100.
Compared with earlier readings it is up 0.4% over ten years.
Over the whole period, food production index in Pre-demographic dividend peaked at 106.57 2014-2016 = 100 in 2011 and was at its lowest, 23.34 2014-2016 = 100, in 1961.
That places Pre-demographic dividend 1st out of 45 groups with data for 2020, putting it in the top 10%.
The long-run direction has been consistently rising across the 60 years of available data.
Food production index in Pre-demographic dividend, year by year
| Year | 2014-2016 = 100 | Change |
|---|---|---|
| 1961 | 23.34 2014-2016 = 100 | — |
| 1962 | 23.77 2014-2016 = 100 | +1.8% |
| 1963 | 25.06 2014-2016 = 100 | +5.5% |
| 1964 | 24.15 2014-2016 = 100 | -3.6% |
| 1965 | 24.24 2014-2016 = 100 | +0.4% |
| 1966 | 24.52 2014-2016 = 100 | +1.2% |
| 1967 | 27.98 2014-2016 = 100 | +14.1% |
| 1968 | 25.84 2014-2016 = 100 | -7.6% |
| 1969 | 28.32 2014-2016 = 100 | +9.6% |
| 1970 | 29.57 2014-2016 = 100 | +4.4% |
| 1971 | 30.4 2014-2016 = 100 | +2.8% |
| 1972 | 31.01 2014-2016 = 100 | +2.0% |
| 1973 | 31.7 2014-2016 = 100 | +2.2% |
| 1974 | 34.8 2014-2016 = 100 | +9.8% |
| 1975 | 35.63 2014-2016 = 100 | +2.4% |
| 1976 | 36.58 2014-2016 = 100 | +2.7% |
| 1977 | 38.99 2014-2016 = 100 | +6.6% |
| 1978 | 39.74 2014-2016 = 100 | +1.9% |
| 1979 | 39.12 2014-2016 = 100 | -1.6% |
| 1980 | 41.43 2014-2016 = 100 | +5.9% |
| 1981 | 46.6 2014-2016 = 100 | +12.5% |
| 1982 | 40.88 2014-2016 = 100 | -12.3% |
| 1983 | 42.43 2014-2016 = 100 | +3.8% |
| 1984 | 37.76 2014-2016 = 100 | -11.0% |
| 1985 | 45.41 2014-2016 = 100 | +20.3% |
| 1986 | 44.43 2014-2016 = 100 | -2.2% |
| 1987 | 40.84 2014-2016 = 100 | -8.1% |
| 1988 | 48.11 2014-2016 = 100 | +17.8% |
| 1989 | 41.26 2014-2016 = 100 | -14.2% |
| 1990 | 40.34 2014-2016 = 100 | -2.2% |
| 1991 | 49 2014-2016 = 100 | +21.5% |
| 1992 | 54.54 2014-2016 = 100 | +11.3% |
| 1993 | 50.98 2014-2016 = 100 | -6.5% |
| 1994 | 59.91 2014-2016 = 100 | +17.5% |
| 1995 | 61.27 2014-2016 = 100 | +2.3% |
| 1996 | 67.08 2014-2016 = 100 | +9.5% |
| 1997 | 68.65 2014-2016 = 100 | +2.4% |
| 1998 | 73.57 2014-2016 = 100 | +7.2% |
| 1999 | 75.08 2014-2016 = 100 | +2.0% |
| 2000 | 78.83 2014-2016 = 100 | +5.0% |
| 2001 | 87.34 2014-2016 = 100 | +10.8% |
| 2002 | 89.58 2014-2016 = 100 | +2.6% |
| 2003 | 98.47 2014-2016 = 100 | +9.9% |
| 2004 | 96.98 2014-2016 = 100 | -1.5% |
| 2005 | 100.63 2014-2016 = 100 | +3.8% |
| 2006 | 101.92 2014-2016 = 100 | +1.3% |
| 2007 | 101 2014-2016 = 100 | -0.9% |
| 2008 | 101.79 2014-2016 = 100 | +0.8% |
| 2009 | 104.01 2014-2016 = 100 | +2.2% |
| 2010 | 99.63 2014-2016 = 100 | -4.2% |
| 2011 | 106.57 2014-2016 = 100 | +7.0% |
| 2012 | 100 2014-2016 = 100 | -6.2% |
| 2013 | 100 2014-2016 = 100 | +0.0% |
| 2014 | 100 2014-2016 = 100 | +0.0% |
| 2015 | 100 2014-2016 = 100 | +0.0% |
| 2016 | 100 2014-2016 = 100 | +0.0% |
| 2017 | 100 2014-2016 = 100 | +0.0% |
| 2018 | 100 2014-2016 = 100 | +0.0% |
| 2019 | 100 2014-2016 = 100 | +0.0% |
| 2020 | 100 2014-2016 = 100 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 25.25 2014-2016 = 100 | 23.34 2014-2016 = 100 | 28.32 2014-2016 = 100 | 9 |
| 1970s | 34.76 2014-2016 = 100 | 29.57 2014-2016 = 100 | 39.74 2014-2016 = 100 | 10 |
| 1980s | 42.91 2014-2016 = 100 | 37.76 2014-2016 = 100 | 48.11 2014-2016 = 100 | 10 |
| 1990s | 60.04 2014-2016 = 100 | 40.34 2014-2016 = 100 | 75.08 2014-2016 = 100 | 10 |
| 2000s | 96.05 2014-2016 = 100 | 78.83 2014-2016 = 100 | 104.01 2014-2016 = 100 | 10 |
| 2010s | 100.62 2014-2016 = 100 | 99.63 2014-2016 = 100 | 106.57 2014-2016 = 100 | 10 |
| 2020s | 100 2014-2016 = 100 | 100 2014-2016 = 100 | 100 2014-2016 = 100 | 1 |
Countries ranked near Pre-demographic dividend
- 1 Senegal 177.49 2014-2016 = 100 compare
- 2 Saudi Arabia 172.66 2014-2016 = 100 compare
- 3 Oman 170.06 2014-2016 = 100 compare
- 4 Mozambique 161.67 2014-2016 = 100 compare
More agriculture & rural data for Pre-demographic dividend
- Rural population, per capita 0.5405 units per person (2025)
- Rural population 612.45 million (2025)
- Rural population growth 1.6% (2025)
- Rural population 54.0% (2025)
- Agricultural raw materials imports 1.2% (2019)
- Agricultural raw materials exports 3.3% (2023)
- Agriculture, forestry, and fishing, value added (current US$), per 283.67 current US$ per person (2025)
- Agriculture, forestry, and fishing, value added (current US$), annual 13.92 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.193 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added 321.43 billion current US$ (2025)
Frequently asked questions
- What is food production index in Pre-demographic dividend?
- Food production index in Pre-demographic dividend was 100 2014-2016 = 100 in 2020, according to FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO), publisher: Food and Agriculture Organization of the United Nations (FAO).
- What is the highest food production index recorded in Pre-demographic dividend?
- The highest recorded value was 106.57 2014-2016 = 100 in 2011.
- What is the lowest food production index recorded in Pre-demographic dividend?
- The lowest recorded value was 23.34 2014-2016 = 100 in 1961.
- How does Pre-demographic dividend rank for food production index?
- Pre-demographic dividend ranks 1st out of 45 groups with data for 2020.
- Is food production index rising or falling in Pre-demographic dividend?
- Over the last ten years it is up 0.4%. The long-run trend across the full record is rising.
- Where does this Pre-demographic dividend data come from?
- The figures come from FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO), publisher: Food and Agriculture Organization of the United Nations (FAO), published as part of Food production index (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 60 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value.