Congo vs Guatemala: Coffee, green — Gross per capita Production Index Number
Congo
84.26
in 2024
Guatemala
84.91
in 2024
Congo rank
40th
Guatemala rank
37th
Coffee, green — Gross per capita Production Index Number over time
- Congo
- Guatemala
How they compare
Guatemala currently reports 84.91 against 84.26 in Congo, a difference of 0.65.
The two have swapped places 16 times across 64 shared years of data; in 1961 it was Guatemala ahead.
Congo ranks 40th and Guatemala ranks 37th of 69 countries.
Across the 7 decades both report, Congo averaged higher in 3 and Guatemala in 4.
Head to head by decade
| Decade | Congo | Guatemala | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 182.28 | 163.49 | 18.8 | Congo |
| 1970s | 224.8 | 172.14 | 52.66 | Congo |
| 1980s | 202.19 | 169.26 | 32.93 | Congo |
| 1990s | 88.47 | 156.03 | 67.56 | Guatemala |
| 2000s | 109.09 | 138.47 | 29.39 | Guatemala |
| 2010s | 100.82 | 106.27 | 5.45 | Guatemala |
| 2020s | 88.54 | 89.48 | 0.944 | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coffee, green — gross per capita production index number, Congo or Guatemala?
- Guatemala, at 84.91 against 84.26 in Congo as of 2024.
- What is the difference in coffee, green — gross per capita production index number between Congo and Guatemala?
- 0.65, with Guatemala ahead.
- How many years of comparable data are there for Congo and Guatemala?
- 64 years are reported by both, from 1961 to 2024.
- How do Congo and Guatemala rank globally for coffee, green — gross per capita production index number?
- Congo ranks 40th and Guatemala ranks 37th of 69 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Coffee, green — 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.