Hungary Housing Market Activity
Last updated:
Source: ECB MIR monthly new housing loans adjusted with Eurostat total dwelling house price index, and Eurostat residential building permit data; mortgage series smoothed with a 3-month moving average before rebasing and weighting.
Source description: Monthly Hungary housing market activity indicator based on a weighted combination of new mortgage lending and residential building permits, indexed to 2019 = 100.
Table ID: macro_economics/housing/europe_housing_market_activity_monthly
Key findings:
- Hungary's housing activity index at 124.7 indicates strong demand, surpassing the 2019 baseline.
- Recent positive momentum suggests easing market pressure, with a 54.4% increase over three months.
- The mixed housing signal, between recent highs and lows, should be viewed with cautious consumer confidence.
Latest data:
| date | value |
|---|---|
| 2025-06-01 | 83.3 |
| 2025-07-01 | 87.9 |
| 2025-08-01 | 82.25 |
| 2025-09-01 | 82.22 |
| 2025-10-01 | 89.4 |
| 2025-11-01 | 119.94 |
| 2025-12-01 | 126.48 |
| 2026-01-01 | 166.73 |
| 2026-02-01 | 119.81 |
| 2026-03-01 | 128.88 |
| 2026-04-01 | 127.71 |
| 2026-05-01 | 124.67 |
Methodology: Housing Market Activity Methodology
Hungary Housing Market Activity measures the residential cycle using house-price-adjusted new mortgage lending and residential building permits. It is a housing-demand indicator for the furniture market, helping analysts understand whether home moves, new construction and renovation activity are adding support to furniture consumption.
Market Context
Hungary's furniture market is connected to domestic retail demand, local manufacturing and regional trade flows. Housing activity is useful because fitted kitchens, storage, mattresses, upholstery and other durable home categories often respond to changes in residential transactions, financing and construction pipelines.
Read this indicator alongside Hungary Furniture Consumer Market Size, furniture production, imports, exports, consumer confidence and the HUF/EUR exchange rate. That broader set helps distinguish housing-led furniture demand from industrial output, sourcing shifts and currency translation effects. The mortgage component is adjusted with the total dwelling house price index to keep the signal closer to activity than to nominal home-price growth.
