Malta vs Philippines: Import unit values, Mean, US dollar
Import unit values, Mean, US dollar over time
- Malta
- Philippines
How they compare
Malta currently reports 0.9638 against 0.9615 in Philippines, a difference of 0.0023.
The two have swapped places 10 times across 52 shared years of data; in 1963 it was Malta ahead.
Malta ranks 39th and Philippines ranks 40th of 166 countries.
Malta has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Malta | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.945 | 0.7155 | 0.2296 | Malta |
| 1970s | 0.8596 | 0.7416 | 0.118 | Malta |
| 1980s | 0.8141 | 0.804 | 0.01 | Malta |
| 1990s | 0.9218 | 0.8489 | 0.073 | Malta |
| 2000s | 1.05 | 0.886 | 0.166 | Malta |
| 2010s | 0.9811 | 0.9263 | 0.0548 | Malta |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import unit values, mean, us dollar, Malta or Philippines?
- Malta, at 0.9638 against 0.9615 in Philippines as of 2014.
- What is the difference in import unit values, mean, us dollar between Malta and Philippines?
- 0.0023, with Malta ahead.
- How many years of comparable data are there for Malta and Philippines?
- 52 years are reported by both, from 1963 to 2014.
- How do Malta and Philippines rank globally for import unit values, mean, us dollar?
- Malta ranks 39th and Philippines ranks 40th of 166 countries.
- Where does this data come from?
- International Monetary Fund, published as Import unit values, Mean, US dollar (ACM1. Agricultural products). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides export quality indicators for over 800 products across 166 countries from 1963 to 2014, resulting in over 1.7 million observations. Higher index values indicate higher quality, and the index is normalized with a value of 1 representing the 90th percentile of export quality among all exporters (the world frontier). Data can be aggregated at various levels, including by product according to the Standard International Trade Classification (SITC) up to the 4-digit level, by Broad Economic Categories (BEC) up to the 3-digit level, and by aggregate sectors such as Agriculture, Commodities, and Manufactures.