Central America vs Morocco: String beans — Gross per capita Production Index Number
Central America
103.35
in 2024
Morocco
106.51
in 2024
Central America rank
7th
Morocco rank
4th
String beans — Gross per capita Production Index Number over time
- Central America
- Morocco
How they compare
Morocco currently reports 106.51 against 103.35 in Central America, a difference of 3.16.
The two have swapped places 9 times across 36 shared years of data; in 1989 it was Central America ahead.
Central America ranks 7th and Morocco ranks 4th of 20 groups.
Across the 5 decades both report, Central America averaged higher in 3 and Morocco in 2.
Head to head by decade
| Decade | Central America | Morocco | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 97.12 | 3.98 | 93.14 | Central America |
| 1990s | 80.23 | 16.43 | 63.8 | Central America |
| 2000s | 123.44 | 93.79 | 29.65 | Central America |
| 2010s | 97.81 | 104.58 | 6.77 | Morocco |
| 2020s | 101.83 | 102.5 | 0.672 | Morocco |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher string beans — gross per capita production index number, Central America or Morocco?
- Morocco, at 106.51 against 103.35 in Central America as of 2024.
- What is the difference in string beans — gross per capita production index number between Central America and Morocco?
- 3.16, with Morocco ahead.
- How many years of comparable data are there for Central America and Morocco?
- 36 years are reported by both, from 1989 to 2024.
- How do Central America and Morocco rank globally for string beans — gross per capita production index number?
- Central America ranks 7th and Morocco ranks 4th of 20 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as String beans — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.