Watermelons — Gross per capita Production Index Number in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Watermelons — Gross per capita Production Index Number was 119.24 in 2024. ▲ Rising

Latest (2024)
119.24
Change on year
up 0.9%
Rank
9th
of 27 groups
All-time high
139.62
in 2020
All-time low
72.6
in 1992
Years of data
64
1961–2024

Watermelons — Gross per capita Production Index Number in Net Food Importing Developing Countries (NFIDCs), 1961–2024

050100150196119922024

Source: Food and Agriculture Organization of the United Nations.

Analysis

Net Food Importing Developing Countries (NFIDCs) recorded 119.24 for watermelons — gross per capita production index number in 2024.

Compared with earlier readings it is up 0.9% on the previous year and up 15.4% over ten years.

Over the whole period, watermelons — gross per capita production index number in Net Food Importing Developing Countries (NFIDCs) peaked at 139.62 in 2020 and was at its lowest, 72.6, in 1992.

That places Net Food Importing Developing Countries (NFIDCs) 9th out of 27 groups with data for 2024, putting it in the middle of the range.

The long-run direction has been consistently rising across the 64 years of available data.

Watermelons — Gross per capita Production Index Number in Net Food Importing Developing Countries (NFIDCs), year by year

Annual values for Watermelons — Gross per capita Production Index Number (2014-2016 = 100) in Net Food Importing Developing Countries (NFIDCs), 1961 to 2024.
Year Value Change
1961 79.44
1962 88.99 +12.0%
1963 90.55 +1.8%
1964 92.42 +2.1%
1965 97.05 +5.0%
1966 99.93 +3.0%
1967 93.09 -6.8%
1968 93.94 +0.9%
1969 90.78 -3.4%
1970 87.97 -3.1%
1971 86.33 -1.9%
1972 92.34 +7.0%
1973 97.74 +5.8%
1974 101.04 +3.4%
1975 98.65 -2.4%
1976 104.41 +5.8%
1977 91.58 -12.3%
1978 96.44 +5.3%
1979 93.28 -3.3%
1980 88.9 -4.7%
1981 89.42 +0.6%
1982 83.9 -6.2%
1983 82.71 -1.4%
1984 90.51 +9.4%
1985 96.33 +6.4%
1986 97.38 +1.1%
1987 101.52 +4.3%
1988 92.83 -8.6%
1989 88.6 -4.6%
1990 91.73 +3.5%
1991 81.72 -10.9%
1992 72.6 -11.2%
1993 74.66 +2.8%
1994 80.98 +8.5%
1995 87.34 +7.9%
1996 88.31 +1.1%
1997 103.95 +17.7%
1998 95.5 -8.1%
1999 97.72 +2.3%
2000 89.41 -8.5%
2001 80.87 -9.6%
2002 93.51 +15.6%
2003 103.21 +10.4%
2004 106.91 +3.6%
2005 107.15 +0.2%
2006 106.53 -0.6%
2007 105.59 -0.9%
2008 95.88 -9.2%
2009 107.9 +12.5%
2010 96.11 -10.9%
2011 90.01 -6.3%
2012 94.47 +5.0%
2013 95.23 +0.8%
2014 103.3 +8.5%
2015 94.89 -8.1%
2016 101.81 +7.3%
2017 93.58 -8.1%
2018 105.67 +12.9%
2019 131.15 +24.1%
2020 139.62 +6.5%
2021 124.12 -11.1%
2022 123 -0.9%
2023 118.23 -3.9%
2024 119.24 +0.9%

Averages by decade

DecadeAverage LowestHighest Years
1960s 91.8 79.44 99.93 9
1970s 94.98 86.33 104.41 10
1980s 91.21 82.71 101.52 10
1990s 87.45 72.6 103.95 10
2000s 99.7 80.87 107.9 10
2010s 100.62 90.01 131.15 10
2020s 124.84 118.23 139.62 5

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 6 Dominican Republic 363.81 compare
  2. 7 Bahrain 331.21 compare
  3. 8 Somalia 250.4 compare
  4. 9 Turkmenistan 206.04 compare
  5. 10 Fiji 198.16 compare
  6. 11 Montenegro 194.21 compare
  7. 12 Afghanistan 189.83 compare

See the full ranking of 152 places →

More environment data for Net Food Importing Developing Countries (NFIDCs)

All data for Net Food Importing Developing Countries (NFIDCs) →

Frequently asked questions

What is watermelons — gross per capita production index number in Net Food Importing Developing Countries (NFIDCs)?
Watermelons — gross per capita production index number in Net Food Importing Developing Countries (NFIDCs) was 119.24 in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest watermelons — gross per capita production index number recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 139.62 in 2020.
What is the lowest watermelons — gross per capita production index number recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was 72.6 in 1992.
How does Net Food Importing Developing Countries (NFIDCs) rank for watermelons — gross per capita production index number?
Net Food Importing Developing Countries (NFIDCs) ranks 9th out of 27 groups with data for 2024.
Is watermelons — gross per capita production index number rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 15.4%. The long-run trend across the full record is rising.
Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Watermelons — 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).

Share, cite or embed this page

Cite this page

Watermelons — Gross per capita Production Index Number in Net Food Importing Developing Countries (NFIDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 26 August 2026, from https://environment.statizoid.com/stat/watermelons-gross-per-capita-production-index-number-2014-2016-100/net-food-importing-developing-countries-nfidcs/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://environment.statizoid.com/stat/watermelons-gross-per-capita-production-index-number-2014-2016-100/net-food-importing-developing-countries-nfidcs/">Watermelons — Gross per capita Production Index Number in Net Food Importing Developing Countries (NFIDCs)</a> — Statizoid

About this data

Indicator
Watermelons — Gross per capita Production Index Number (2014-2016 = 100)
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
152 places, 7,674 data points, 1961–2024
Last refreshed

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.