Kazakhstan vs Philippines: Groundnuts, excluding shelled — Gross per capita Production Index
Kazakhstan
99.08
in 2024
Philippines
97.74
in 2024
Kazakhstan rank
42nd
Philippines rank
44th
Groundnuts, excluding shelled — Gross per capita Production Index over time
- Kazakhstan
- Philippines
How they compare
Kazakhstan currently reports 99.08 against 97.74 in Philippines, a difference of 1.34.
The two have swapped places 6 times across 31 shared years of data; in 1994 it was Kazakhstan ahead.
Kazakhstan ranks 42nd and Philippines ranks 44th of 104 countries.
Kazakhstan has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Kazakhstan | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 8,527 | 153.41 | 8,373 | Kazakhstan |
| 2000s | 1,577 | 118.58 | 1,459 | Kazakhstan |
| 2010s | 380.82 | 102.83 | 277.99 | Kazakhstan |
| 2020s | 101.39 | 98.96 | 2.43 | Kazakhstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher groundnuts, excluding shelled — gross per capita production index, Kazakhstan or Philippines?
- Kazakhstan, at 99.08 against 97.74 in Philippines as of 2024.
- What is the difference in groundnuts, excluding shelled — gross per capita production index between Kazakhstan and Philippines?
- 1.34, with Kazakhstan ahead.
- How many years of comparable data are there for Kazakhstan and Philippines?
- 31 years are reported by both, from 1994 to 2024.
- How do Kazakhstan and Philippines rank globally for groundnuts, excluding shelled — gross per capita production index?
- Kazakhstan ranks 42nd and Philippines ranks 44th of 104 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Groundnuts, excluding shelled — 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.