Libya vs Zambia: Cereals, primary — Gross Production Index Number
Libya
56.89
in 2024
Zambia
55.32
in 2024
Libya rank
155th
Zambia rank
157th
Cereals, primary — Gross Production Index Number over time
- Libya
- Zambia
How they compare
Libya currently reports 56.89 against 55.32 in Zambia, a difference of 1.57.
The two have swapped places 12 times across 50 shared years of data; in 1961 it was Libya ahead.
Libya ranks 155th and Zambia ranks 157th of 166 countries.
Across the 7 decades both report, Libya averaged higher in 5 and Zambia in 2.
Head to head by decade
| Decade | Libya | Zambia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 47.98 | 25.47 | 22.51 | Libya |
| 1970s | 64.67 | 40.42 | 24.25 | Libya |
| 1980s | 98.1 | 38.32 | 59.79 | Libya |
| 1990s | 91.4 | 37.69 | 53.71 | Libya |
| 2000s | 74.21 | 49.16 | 25.06 | Libya |
| 2010s | 94.35 | 96.49 | 2.15 | Zambia |
| 2020s | 69.75 | 100.75 | 31 | Zambia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — gross production index number, Libya or Zambia?
- Libya, at 56.89 against 55.32 in Zambia as of 2024.
- What is the difference in cereals, primary — gross production index number between Libya and Zambia?
- 1.57, with Libya ahead.
- How many years of comparable data are there for Libya and Zambia?
- 50 years are reported by both, from 1961 to 2024.
- How do Libya and Zambia rank globally for cereals, primary — gross production index number?
- Libya ranks 155th and Zambia ranks 157th of 166 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — Gross 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.