Denmark House Prices in Denmark

Statistics Denmark · Quarterly · Importance

108.3 (Q2-26) ABS · index · Quarterly · CSV
2.8% (Q2-26) QOQ · % · Quarterly · CSV
9.4% (Q2-26) YOY · % · Quarterly · CSV
Periodindex
Apr 2026 108.3
Jan 2026 105.4
Oct 2025 102.5
Jul 2025 101.1
Apr 2025 99.0
Jan 2025 97.3
Oct 2024 95.3
Jul 2024 95.1
Apr 2024 92.3
Jan 2024 89.5
Oct 2023 91.8
Jul 2023 90.4
Apr 2023 88.8
Jan 2023 88.5
Oct 2022 92.3
Jul 2022 94.5
Apr 2022 94.2
Jan 2022 92.6
Oct 2021 91.6
Jul 2021 91.5
Apr 2021 89.1
Jan 2021 84.4
Oct 2020 82.4
Jul 2020 80.9
Apr 2020 79.0
Jan 2020 77.4
Oct 2019 76.9
Jul 2019 77.7
Apr 2019 76.8
Jan 2019 75.2
Oct 2018 75.1
Jul 2018 76.0
Apr 2018 75.8
Jan 2018 73.0
Oct 2017 73.0
Jul 2017 73.5
Apr 2017 71.8
Jan 2017 68.9
Oct 2016 70.1
Jul 2016 70.4
Apr 2016 68.2
Jan 2016 65.0
Oct 2015 67.2
Jul 2015 67.1
Apr 2015 65.5
Jan 2015 61.8
Oct 2014 61.4
Jul 2014 61.6
Apr 2014 62.0
Jan 2014 59.7
Oct 2013 58.9
Jul 2013 59.7
Apr 2013 59.7
Jan 2013 57.6
Oct 2012 56.8
Jul 2012 57.1
Apr 2012 56.9
Jan 2012 56.1
Oct 2011 56.1
Jul 2011 58.1
Period%
Apr 2026 2.8%
Period%
Apr 2026 9.4%

About this indicator

Source
Statistics Denmark
Frequency
Quarterly
Release
Between one and three months after the reference period closes.
What it is
The house price index measures the movement in the price of dwellings sold in Denmark. Published by Statistics Denmark, it is a central gauge of the Danish housing market and of household wealth.
How it's calculated
It is calculated as an index against a base year from the prices of registered sale transactions, adjusting for dwellings' characteristics to isolate the pure price change. It is published with its quarterly and annual changes.
Market implications
House prices affect the construction sector, household wealth and spending (the wealth effect) and financial stability through mortgage lending. In Denmark, where households are heavily indebted, they are especially sensitive to interest rates.
Limitations
House price indices are released with a lag and are revised. Average prices can also be skewed by the mix of transactions (the type and location of dwellings sold in a given period).