Libya vs Paraguay: Peaches and nectarines — Gross per capita Production Index Number
Libya
92.29
in 2024
Paraguay
93.66
in 2024
Libya rank
35th
Paraguay rank
34th
Peaches and nectarines — Gross per capita Production Index Number over time
- Libya
- Paraguay
How they compare
Paraguay currently reports 93.66 against 92.29 in Libya, a difference of 1.37.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Paraguay ahead.
Libya ranks 35th and Paraguay ranks 34th of 75 countries.
Paraguay has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Libya | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 9.3 | 604.9 | 595.6 | Paraguay |
| 1970s | 34.39 | 592.36 | 557.96 | Paraguay |
| 1980s | 94.97 | 300.48 | 205.52 | Paraguay |
| 1990s | 95.14 | 171.26 | 76.12 | Paraguay |
| 2000s | 83.22 | 107.48 | 24.26 | Paraguay |
| 2010s | 97.98 | 100.72 | 2.75 | Paraguay |
| 2020s | 93.53 | 95.62 | 2.09 | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher peaches and nectarines — gross per capita production index number, Libya or Paraguay?
- Paraguay, at 93.66 against 92.29 in Libya as of 2024.
- What is the difference in peaches and nectarines — gross per capita production index number between Libya and Paraguay?
- 1.37, with Paraguay ahead.
- How many years of comparable data are there for Libya and Paraguay?
- 64 years are reported by both, from 1961 to 2024.
- How do Libya and Paraguay rank globally for peaches and nectarines — gross per capita production index number?
- Libya ranks 35th and Paraguay ranks 34th of 75 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Peaches and nectarines — 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.