Equatorial Guinea vs Moldova: CPI Price, % y-o-y, nominal, seas. adj.
Equatorial Guinea
5.1%
in 2020
Moldova
4.9%
in 2026
Equatorial Guinea rank
27th
Moldova rank
29th
CPI Price, % y-o-y, nominal, seas. adj. over time
- Equatorial Guinea
- Moldova
How they compare
Equatorial Guinea currently reports 5.1% against 4.9% in Moldova, a difference of 0.2%.
That makes Equatorial Guinea's figure about 1.1 times Moldova's.
The two have swapped places 7 times across 29 shared years of data; in 1992 it was Moldova ahead.
Equatorial Guinea ranks 27th and Moldova ranks 29th of 156 countries.
Across the 4 decades both report, Equatorial Guinea averaged higher in 1 and Moldova in 3.
Head to head by decade
| Decade | Equatorial Guinea | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 8.6% | 401.6% | 393.0% | Moldova |
| 2000s | 5.7% | 12.0% | 6.3% | Moldova |
| 2010s | 3.0% | 6.0% | 3.0% | Moldova |
| 2020s | 5.1% | 3.8% | 1.4% | Equatorial Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cpi price, % y-o-y, nominal, seas. adj., Equatorial Guinea or Moldova?
- Equatorial Guinea, at 5.1% against 4.9% in Moldova as of 2020.
- What is the difference in cpi price, % y-o-y, nominal, seas. adj. between Equatorial Guinea and Moldova?
- 0.2%, with Equatorial Guinea ahead.
- How many years of comparable data are there for Equatorial Guinea and Moldova?
- 29 years are reported by both, from 1992 to 2020.
- How do Equatorial Guinea and Moldova rank globally for cpi price, % y-o-y, nominal, seas. adj.?
- Equatorial Guinea ranks 27th and Moldova ranks 29th of 156 countries.
- Where does this data come from?
- World Bank staff calculations based on Datastream data, published as CPI Price, % y-o-y, nominal, seas. adj.. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The consumer price index reflects the change in prices for the average consumer of a constant basket of consumer goods. Data is in nominal percentage terms, measured on a year-on-year basis, and seasonally adjusted.