Malta vs Republic of Korea: Non Food — Gross Production Index Number
Malta
99.79
in 2017
Republic of Korea
99.54
in 2024
Malta rank
66th
Republic of Korea rank
68th
Non Food — Gross Production Index Number over time
- Malta
- Republic of Korea
How they compare
Malta currently reports 99.79 against 99.54 in Republic of Korea, a difference of 0.25.
The two have swapped places 3 times across 53 shared years of data; in 1961 it was Republic of Korea ahead.
Malta ranks 66th and Republic of Korea ranks 68th of 151 countries.
Across the 6 decades both report, Malta averaged higher in 1 and Republic of Korea in 5.
Head to head by decade
| Decade | Malta | Republic of Korea | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 98.4 | 193.87 | 95.47 | Republic of Korea |
| 1970s | 103.32 | 433.87 | 330.55 | Republic of Korea |
| 1980s | 135.95 | 289.52 | 153.57 | Republic of Korea |
| 1990s | 113.62 | 218.93 | 105.32 | Republic of Korea |
| 2000s | 104.22 | 131.64 | 27.43 | Republic of Korea |
| 2010s | 99.95 | 99.45 | 0.4975 | Malta |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production index number, Malta or Republic of Korea?
- Malta, at 99.79 against 99.54 in Republic of Korea as of 2017.
- What is the difference in non food — gross production index number between Malta and Republic of Korea?
- 0.25, with Malta ahead.
- How many years of comparable data are there for Malta and Republic of Korea?
- 53 years are reported by both, from 1961 to 2017.
- How do Malta and Republic of Korea rank globally for non food — gross production index number?
- Malta ranks 66th and Republic of Korea ranks 68th of 151 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Non Food — 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.