# Euro Area House Price Index

Euro Area House Price Index was up 4.0% year on year in Q2 2026, compared with 4.6% in Q1 2026.
The level stood at 159.9 Quarterly index, 2015=100.
That is the lowest reading since Q3 2024.
Over the past ten years it has ranged from −2.1% (Q3 2023) to 10.0% (Q1 2022), averaging 4.5%.

- Source agency: Eurostat (Statistical Office of the European Union)
- Makrognosis code: `EA.HPI.Q.NSA`
- Frequency: quarterly
- Units: Quarterly index, 2015=100
- Coverage: 2005-01-01 to 2026-04-01 (86 observations)
- Page: https://makrognosis.robomacro.com/data/euro-area/house-price-index

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 159.9 Quarterly index, 2015=100 | 4.0 |
| Q1 2026 | 158.2 Quarterly index, 2015=100 | 4.6 |
| Q4 2025 | 156.8 Quarterly index, 2015=100 | 5.1 |
| Q3 2025 | 156.1 Quarterly index, 2015=100 | 5.2 |
| Q2 2025 | 153.8 Quarterly index, 2015=100 | 5.3 |
| Q1 2025 | 151.3 Quarterly index, 2015=100 | 5.5 |
| Q4 2024 | 149.2 Quarterly index, 2015=100 | 4.3 |
| Q3 2024 | 148.4 Quarterly index, 2015=100 | 2.9 |
| Q2 2024 | 146.0 Quarterly index, 2015=100 | 1.5 |
| Q1 2024 | 143.4 Quarterly index, 2015=100 | −0.09 |
| Q4 2023 | 143.1 Quarterly index, 2015=100 | −1.1 |
| Q3 2023 | 144.2 Quarterly index, 2015=100 | −2.1 |
| Q2 2023 | 143.8 Quarterly index, 2015=100 | −1.4 |
| Q1 2023 | 143.5 Quarterly index, 2015=100 | 0.6 |
| Q4 2022 | 144.7 Quarterly index, 2015=100 | 3.3 |
| Q3 2022 | 147.2 Quarterly index, 2015=100 | 7.0 |
| Q2 2022 | 145.9 Quarterly index, 2015=100 | 9.4 |
| Q1 2022 | 142.7 Quarterly index, 2015=100 | 10.0 |
| Q4 2021 | 140.1 Quarterly index, 2015=100 | 9.5 |
| Q3 2021 | 137.5 Quarterly index, 2015=100 | 9.0 |
| Q2 2021 | 133.3 Quarterly index, 2015=100 | 7.2 |
| Q1 2021 | 129.7 Quarterly index, 2015=100 | 5.9 |
| Q4 2020 | 127.9 Quarterly index, 2015=100 | 5.6 |
| Q3 2020 | 126.1 Quarterly index, 2015=100 | 5.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/EA.HPI.Q.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/EA.HPI.Q.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```