Congo vs Pakistan: Import unit values, Mean, US dollar
Import unit values, Mean, US dollar over time
- Congo
- Pakistan
How they compare
Congo currently reports 0.7964 against 0.7947 in Pakistan, a difference of 0.0017.
The two have swapped places 15 times across 52 shared years of data; in 1963 it was Pakistan ahead.
Congo ranks 133rd and Pakistan ranks 134th of 166 countries.
Across the 6 decades both report, Congo averaged higher in 5 and Pakistan in 1.
Head to head by decade
| Decade | Congo | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.9898 | 0.9345 | 0.0553 | Congo |
| 1970s | 0.8945 | 0.8831 | 0.0114 | Congo |
| 1980s | 0.7739 | 0.8065 | 0.0326 | Pakistan |
| 1990s | 0.7795 | 0.7371 | 0.0424 | Congo |
| 2000s | 0.9092 | 0.7995 | 0.1098 | Congo |
| 2010s | 0.9559 | 0.7881 | 0.1678 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import unit values, mean, us dollar, Congo or Pakistan?
- Congo, at 0.7964 against 0.7947 in Pakistan as of 2014.
- What is the difference in import unit values, mean, us dollar between Congo and Pakistan?
- 0.0017, with Congo ahead.
- How many years of comparable data are there for Congo and Pakistan?
- 52 years are reported by both, from 1963 to 2014.
- How do Congo and Pakistan rank globally for import unit values, mean, us dollar?
- Congo ranks 133rd and Pakistan ranks 134th 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.