Denmark House Prices in Denmark

Estadistica Dinamarca · Trimestral

156.6 (Q4-25) ABS · indice · Trimestral · CSV
Periodindice
Oct 2025 156.6
Jul 2025 154.5
Apr 2025 151.4
Jan 2025 148.7
Oct 2024 145.6
Jul 2024 145.3
Apr 2024 140.9
Jan 2024 136.7
Oct 2023 140.3
Jul 2023 138.1
Apr 2023 135.7
Jan 2023 135.1
Oct 2022 141.0
Jul 2022 144.4
Apr 2022 144.0
Jan 2022 141.5
Oct 2021 140.1
Jul 2021 139.8
Apr 2021 136.2
Jan 2021 129.0
Oct 2020 126.0
Jul 2020 123.7
Apr 2020 120.8
Jan 2020 118.3
Oct 2019 117.5
Jul 2019 118.7
Apr 2019 117.5
Jan 2019 114.9
Oct 2018 114.7
Jul 2018 116.1
Apr 2018 115.9
Jan 2018 111.6
Oct 2017 111.6
Jul 2017 112.3
Apr 2017 109.8
Jan 2017 105.3
Oct 2016 107.1
Jul 2016 107.7
Apr 2016 104.2
Jan 2016 99.3
Oct 2015 102.8
Jul 2015 102.6
Apr 2015 100.2
Jan 2015 94.5
Oct 2014 93.8
Jul 2014 94.2
Apr 2014 94.7
Jan 2014 91.2
Oct 2013 89.9
Jul 2013 91.2
Apr 2013 91.2
Jan 2013 88.0
Oct 2012 86.9
Jul 2012 87.3
Apr 2012 87.0
Jan 2012 85.7
Oct 2011 85.7
Jul 2011 88.9
Apr 2011 91.9
Jan 2011 89.9

About this indicator

SourceStatistics Denmark
FrequencyTrimestral
Release Aproximadamente uno a tres meses después del cierre del periodo de referencia.
What it isThe 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 calculatedIt 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 implicationsHouse 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.
LimitationsHouse 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).