Euro Area (EA) vs Latvia: Harmonized Euro area rates: Loans, Over 5 years New Business, House
Euro Area (EA)
2.44
in 2024
Latvia
5.85
in 2024
Euro Area (EA) rank
1st
Latvia rank
1st
Harmonized Euro area rates: Loans, Over 5 years New Business, House over time
- Euro Area (EA)
- Latvia
How they compare
Latvia currently reports 5.85 against 2.44 in Euro Area (EA), a difference of 3.41.
That makes Latvia's figure about 2.4 times Euro Area (EA)'s.
The two have swapped places 1 time across 12 shared years of data; in 2013 it was Euro Area (EA) ahead.
Euro Area (EA) ranks 1st and Latvia ranks 1st of 1 groups.
Across the 2 decades both report, Euro Area (EA) averaged higher in 1 and Latvia in 1.
Head to head by decade
| Decade | Euro Area (EA) | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 2.69 | 2.32 | 0.368 | Euro Area (EA) |
| 2020s | 1.98 | 3.67 | 1.69 | Latvia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher harmonized euro area rates: loans, over 5 years new business, house, Euro Area (EA) or Latvia?
- Latvia, at 5.85 against 2.44 in Euro Area (EA) as of 2024.
- What is the difference in harmonized euro area rates: loans, over 5 years new business, house between Euro Area (EA) and Latvia?
- 3.41, with Latvia ahead.
- How many years of comparable data are there for Euro Area (EA) and Latvia?
- 12 years are reported by both, from 2013 to 2024.
- How do Euro Area (EA) and Latvia rank globally for harmonized euro area rates: loans, over 5 years new business, house?
- Euro Area (EA) ranks 1st and Latvia ranks 1st of 1 groups.
- Where does this data come from?
- International Monetary Fund, published as Harmonized Euro area rates: Loans, Over 5 years New Business, House purchase, Households, Rate, Percent per annum. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Monetary and Financial Statistics (MFS), Interest Rates dataset presents country-specific interest rate data across sectors and instruments, based on nationally defined methodologies.