Hungary housing index

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Hungary housing index: 298.05 (-0%)
Last Update: June 30, 2024

Hungary housing index closed down 298.05 as of June 30, 2024 from 298.06 from the previous month and 195.69 from last year.


Hungary housing index Analytics & Data




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Hungary housing index

Date Values
2024-06-30 298.05
2024-03-31 298.06
2023-12-31 277.19
2023-09-30 272.63
2023-06-30 269.41
2023-03-31 266.92
2022-12-31 257.75
2022-09-30 261.16
2022-06-30 255.23
2022-03-31 240.61
2021-12-31 213.92
2021-09-30 204.43
2021-06-30 195.69
2021-03-31 186.9
2020-12-31 178.51
2020-09-30 179.68
2020-06-30 160.97
2020-03-31 163.12
2019-12-31 165.6
2019-09-30 160.07
2019-06-30 162.56
2019-03-31 162.28
2018-12-31 152.32
2018-09-30 148.49

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Hungary housing index Statistics


Indicator Symbol Actual Previous M/M% Y/Y% Trend Slope Percentile Update
housing index hu.housingindex 298.05 298.06 -0 52 UP UP 0 2024-06-30

Hungary housing index Quantitative Analysis, Charts & Factors

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Hungary housing index Historical Data

The MacroVar database offers free access to historical data for the Hungary housing index, dating back to 1950. This extensive dataset is readily available through MacroVar versatile platforms, including a user-friendly web interface, a robust Python API, and convenient Excel integration. By leveraging these tools, users can efficiently retrieve and analyze decades of Hungary housing index data, supporting a wide range of research, financial analysis, and decision-making processes.

What is the Hungary housing index

The Hungary housing index is a measure that tracks the changes in the Hungarian housing market over time. It provides valuable insight into the trends and fluctuations in property prices, rental rates, and overall market conditions. By analyzing the housing index, policymakers, investors, and residents can better understand the current state of the housing market and make informed decisions about buying, selling, or renting property. The index is an important tool for monitoring the health of the real estate sector and can help to predict future market trends.

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