6 January 2020
2020- n° 306In Q3 2019, prices of second-hand dwellings continued to grow Notaries-INSEE second-hand dwellings price index - third quarter 2019
6 January 2020: The file of additional data has been updated compared to the publication of 28 November 2019.
In Q3 2019, prices of second-hand dwellings in France (excluding Mayotte) were still increasing: +1.0% as compared to Q2 2019 (provisional seasonally adjusted results), at a bigger rate than in the previous quarter (+0.7 %).
In Q3 2019, prices of second-hand dwellings in France (excluding Mayotte) were still increasing: +1.0% as compared to Q2 2019 (provisional seasonally adjusted results), at a bigger rate than in the previous quarter (+0.7 %).
Over a year, the rise of prices barely sped up : +3.2%, after +3.1%. As observed since the end of 2016, this increase was more important for flats (+4.0% over the year) than for houses (+2.5%).
tableauVariation in prices of second-hand dwellings in France over a year
France - flats | France | France - houses | |
---|---|---|---|
2011-Q1 | 9.5 | 7.1 | 5.3 |
2011-Q2 | 10.0 | 7.1 | 4.9 |
2011-Q3 | 8.8 | 6.2 | 4.2 |
2011-Q4 | 6.2 | 3.7 | 1.8 |
2012-Q1 | 3.8 | 1.8 | 0.4 |
2012-Q2 | 1.0 | -0.3 | -1.2 |
2012-Q3 | -0.8 | -1.7 | -2.3 |
2012-Q4 | -1.4 | -2.1 | -2.6 |
2013-Q1 | -1.5 | -2.0 | -2.4 |
2013-Q2 | -1.9 | -2.2 | -2.5 |
2013-Q3 | -1.7 | -2.3 | -2.8 |
2013-Q4 | -1.8 | -1.9 | -2.0 |
2014-Q1 | -1.4 | -1.9 | -2.2 |
2014-Q2 | -1.3 | -1.4 | -1.4 |
2014-Q3 | -2.0 | -1.4 | -1.0 |
2014-Q4 | -2.4 | -2.5 | -2.6 |
2015-Q1 | -2.8 | -2.4 | -2.1 |
2015-Q2 | -3.0 | -2.6 | -2.4 |
2015-Q3 | -2.0 | -1.8 | -1.6 |
2015-Q4 | -1.1 | -0.4 | 0.2 |
2016-Q1 | -0.4 | 0.3 | 0.9 |
2016-Q2 | 0.5 | 0.6 | 0.7 |
2016-Q3 | 1.0 | 1.3 | 1.5 |
2016-Q4 | 1.6 | 1.5 | 1.4 |
2017-Q1 | 3.0 | 2.5 | 2.1 |
2017-Q2 | 3.7 | 3.1 | 2.6 |
2017-Q3 | 4.5 | 3.2 | 2.4 |
2017-Q4 | 4.3 | 3.3 | 2.5 |
2018-Q1 | 3.8 | 2.9 | 2.3 |
2018-Q2 | 3.3 | 2.8 | 2.5 |
2018-Q3 | 3.4 | 2.9 | 2.6 |
2018-Q4 | 3.4 | 3.2 | 3.1 |
2019-Q1 | 3.8 | 3.0 | 2.5 |
2019-Q2 | 4.3 | 3.1 | 2.3 |
2019-Q3 | 4.0 | 3.2 | 2.5 |
graphiqueVariation in prices of second-hand dwellings in France over a year
tableauVariation in prices of second-hand dwellings in France
Change in (%) | ||||||
---|---|---|---|---|---|---|
3 months (S.A.) | 12 months | |||||
2019 Q1 | 2019 Q2(sd) | 2019 Q3(p) | 2019 Q1 | 2019 Q2(sd) | 2019 Q3(p) | |
France | 0.6 | 0.7 | 1.0 | 3.0 | 3.1 | 3.2 |
Flats | 1.2 | 1.2 | 1.0 | 3.8 | 4.3 | 4.0 |
Houses | 0.2 | 0.4 | 1.0 | 2.5 | 2.3 | 2.5 |
- (p): provisional; (sd): semi-definitive
- Scope: France (excluding Mayotte)
- Sources : Insee, ADSN – BIEN – Grand Paris notaries, French notaries, Perval society
In Île-de-France, prices of second-hand dwellings stayed dynamic
In Q3 2019, prices of second-hand dwellings’ price in Île-de-France sped up: +0.9% as compared to Q2 2019, after +0.8% and +0,6%.
Year on year, prices were still increasing at a sustained pace: +3.6% between Q3 2018 and Q3 2019, after +3.6% and +4.0%. Flats’ prices increased by +4.7% over the year while houses’ prices increased by 1.2%. Prices in inner Paris kept on driving flats’ prices: +6.1% over the year in Q3 2019, after +6.3% in Q2 2019 and +6.6% in Q1 2019. Excluding Paris, the annual rise in Île-de-France was +2,3 % in Q3 2019.
Prices keeping on increasingfor second-hand dwellings in provincial France
In Q3 2019, prices of second-hand dwelling in provincial France kept increasing at a higher rate than the two previous quarters : +1.0%, after +0.7% and +0.6%.
Over one year, prices increased at a slightly faster pace than previously: +3.0% between Q3 2018 and Q3 2019, after +2.9% and 2.6%. Uniformly to what was observed at the beginning of 2019, the annual rise in provincial France was in Q3 2019 more important for flats (+3.5%) than for houses (+2.8%).
tableauSecond-hand dwellings price index in metropolitan France
Province - flats | Province - houses | Île-de-France - flats | Île-de-France - houses | |
---|---|---|---|---|
2000-Q1 | 45.7 | 53.1 | 38.4 | 52.2 |
2000-Q2 | 46.4 | 54.0 | 39.4 | 52.9 |
2000-Q3 | 47.3 | 55.2 | 40.3 | 54.1 |
2000-Q4 | 47.8 | 56.1 | 40.9 | 54.8 |
2001-Q1 | 48.9 | 57.3 | 41.9 | 55.8 |
2001-Q2 | 50.0 | 58.6 | 42.5 | 57.5 |
2001-Q3 | 50.5 | 59.6 | 43.5 | 58.0 |
2001-Q4 | 51.8 | 60.7 | 44.2 | 58.5 |
2002-Q1 | 52.8 | 62.0 | 44.8 | 58.8 |
2002-Q2 | 54.3 | 63.4 | 46.1 | 60.1 |
2002-Q3 | 56.2 | 65.2 | 47.4 | 61.4 |
2002-Q4 | 58.0 | 67.0 | 48.8 | 62.2 |
2003-Q1 | 59.7 | 68.5 | 50.3 | 63.5 |
2003-Q2 | 62.0 | 70.4 | 51.9 | 65.0 |
2003-Q3 | 64.4 | 72.3 | 53.3 | 66.8 |
2003-Q4 | 66.6 | 74.6 | 55.1 | 69.7 |
2004-Q1 | 70.3 | 77.1 | 57.2 | 72.0 |
2004-Q2 | 73.0 | 79.5 | 59.4 | 74.1 |
2004-Q3 | 76.2 | 82.2 | 61.4 | 77.0 |
2004-Q4 | 79.5 | 85.3 | 63.8 | 79.4 |
2005-Q1 | 82.5 | 88.4 | 66.2 | 82.1 |
2005-Q2 | 86.1 | 91.2 | 68.6 | 85.4 |
2005-Q3 | 89.0 | 94.3 | 71.5 | 88.4 |
2005-Q4 | 92.1 | 96.8 | 73.5 | 91.8 |
2006-Q1 | 95.3 | 99.5 | 75.8 | 95.0 |
2006-Q2 | 97.6 | 101.9 | 78.0 | 97.5 |
2006-Q3 | 100.0 | 103.8 | 79.5 | 99.5 |
2006-Q4 | 101.9 | 105.9 | 81.0 | 100.7 |
2007-Q1 | 102.7 | 107.2 | 82.6 | 103.5 |
2007-Q2 | 103.6 | 108.6 | 84.0 | 104.5 |
2007-Q3 | 104.8 | 109.6 | 85.4 | 105.0 |
2007-Q4 | 106.3 | 110.9 | 87.6 | 106.3 |
2008-Q1 | 106.7 | 111.3 | 88.4 | 105.9 |
2008-Q2 | 106.4 | 110.3 | 89.2 | 105.9 |
2008-Q3 | 104.8 | 108.9 | 89.0 | 104.4 |
2008-Q4 | 102.3 | 105.2 | 87.6 | 101.0 |
2009-Q1 | 99.5 | 101.9 | 84.7 | 95.8 |
2009-Q2 | 98.0 | 100.0 | 82.3 | 92.8 |
2009-Q3 | 98.3 | 99.9 | 82.7 | 93.2 |
2009-Q4 | 99.3 | 100.9 | 84.1 | 93.8 |
2010-Q1 | 101.0 | 102.4 | 86.8 | 97.2 |
2010-Q2 | 102.4 | 103.6 | 89.4 | 98.8 |
2010-Q3 | 103.9 | 104.7 | 92.0 | 100.0 |
2010-Q4 | 105.4 | 106.4 | 95.6 | 102.0 |
2011-Q1 | 106.1 | 107.2 | 99.2 | 103.8 |
2011-Q2 | 107.2 | 108.1 | 103.4 | 105.7 |
2011-Q3 | 108.0 | 108.4 | 105.0 | 107.0 |
2011-Q4 | 108.0 | 107.7 | 105.5 | 107.1 |
2012-Q1 | 107.8 | 107.1 | 105.1 | 106.9 |
2012-Q2 | 107.2 | 106.5 | 105.2 | 106.2 |
2012-Q3 | 106.1 | 105.9 | 105.2 | 105.0 |
2012-Q4 | 105.8 | 104.9 | 104.7 | 105.2 |
2013-Q1 | 105.0 | 104.4 | 104.6 | 104.9 |
2013-Q2 | 104.3 | 103.6 | 104.2 | 104.5 |
2013-Q3 | 104.1 | 102.7 | 103.5 | 103.4 |
2013-Q4 | 104.0 | 102.8 | 102.9 | 103.3 |
2014-Q1 | 103.6 | 102.2 | 103.0 | 102.2 |
2014-Q2 | 103.2 | 102.4 | 102.6 | 101.6 |
2014-Q3 | 102.2 | 101.7 | 101.5 | 101.6 |
2014-Q4 | 100.9 | 100.2 | 101.2 | 100.3 |
2015-Q1 | 100.6 | 100.0 | 100.3 | 100.0 |
2015-Q2 | 99.9 | 99.9 | 99.8 | 99.7 |
2015-Q3 | 99.9 | 100.0 | 99.9 | 100.0 |
2015-Q4 | 99.8 | 100.4 | 100.1 | 99.9 |
2016-Q1 | 99.6 | 100.9 | 100.4 | 100.5 |
2016-Q2 | 99.5 | 100.6 | 101.4 | 100.9 |
2016-Q3 | 99.6 | 101.6 | 102.2 | 101.3 |
2016-Q4 | 100.2 | 101.7 | 103.0 | 101.6 |
2017-Q1 | 101.6 | 103.0 | 104.5 | 102.5 |
2017-Q2 | 102.3 | 103.3 | 106.1 | 103.1 |
2017-Q3 | 103.1 | 104.0 | 108.0 | 103.8 |
2017-Q4 | 103.3 | 104.2 | 108.8 | 104.4 |
2018-Q1 | 104.2 | 105.4 | 109.8 | 104.8 |
2018-Q2 | 104.4 | 106.0 | 111.2 | 105.6 |
2018-Q3 | 105.8 | 106.8 | 112.5 | 106.1 |
2018-Q4 | 105.9 | 107.7 | 113.8 | 107.7 |
2019-Q1 | 107.3 | 108.1 | 115.1 | 107.1 |
2019-Q2 | 108.3 | 108.7 | 116.7 | 106.6 |
2019-Q3 | 109.3 | 109.8 | 117.8 | 107.5 |
graphiqueSecond-hand dwellings price index in metropolitan France
tableauVariation in prices of second-hand dwellings in metropolitan France
Change in (%) | ||||||
---|---|---|---|---|---|---|
3 months (S.A) | 12 months | |||||
2019 Q1 | 2019 Q2(sd) | 2019 Q3(p) | 2019 Q1 | 2019 Q2(sd) | 2019 Q3(p) | |
Metropolitan France | 0.6 | 0.7 | 1.0 | 3.0 | 3.1 | 3.2 |
Île-de-France | 0.6 | 0.8 | 0.9 | 4.0 | 3.6 | 3.6 |
Provincial France | 0.6 | 0.7 | 1.0 | 2.6 | 2.9 | 3.0 |
- Auvergne-Rhône-Alpes | 1.9 | 0.5 | ** | 3.9 | 3.9 | ** |
- Hauts-de-France | 0.4 | 0.6 | ** | 2.0 | 2.1 | ** |
- Provence-Alpes-Côte d'Azur | 0.1 | * | ** | 1.0 | * | ** |
Flats | 1.2 | 1.2 | 0.9 | 3.8 | 4.3 | 4.0 |
Île-de-France | 1.2 | 1.4 | 0.9 | 4.8 | 4.9 | 4.7 |
- Paris | 1.6 | 1.7 | 1.0 | 6.6 | 6.3 | 6.1 |
- Immediate suburbs | 1.1 | 1.2 | 1.2 | 4.4 | 4.6 | 4.5 |
- Outer suburbs | 0.2 | 0.9 | 0.1 | 0.7 | 1.5 | 0.9 |
Provincial France | 1.3 | 1.0 | 1.0 | 2.9 | 3.7 | 3.5 |
- Conurbation > 10 000 inhabitants | 1.4 | 1.0 | ** | 3.1 | 3.9 | ** |
* Central town | 1.4 | 1.2 | ** | 3.3 | 4.3 | ** |
* Suburb | 1.3 | 0.6 | ** | 2.7 | 3.1 | ** |
- Conurbation < 10 000 inhabitants | 0.4 | 0.7 | ** | 1.3 | 2.1 | ** |
- Auvergne-Rhône-Alpes | 1.1 | 1.6 | ** | 3.7 | 5.1 | ** |
* Lyon | 3.4 | 3.2 | ** | 9.3 | 11.3 | ** |
- Hauts-de-France | 1.0 | 0.2 | ** | 3.1 | 1.9 | ** |
- Provence-Alpes-Côte d'Azur | 1.5 | * | ** | 1.6 | * | ** |
* Marseille | -0.9 | * | ** | 0.2 | * | ** |
Houses | 0.2 | 0.4 | 1.0 | 2.4 | 2.3 | 2.5 |
Île-de-France | -0.6 | -0.5 | 0.9 | 2.3 | 1.0 | 1.2 |
- Immediate suburbs | -0.1 | -0.9 | 0.7 | 5.0 | 2.1 | 1.8 |
- Outer suburbs | -0.8 | -0.3 | 1.0 | 1.0 | 0.4 | 0.9 |
Provincial France | 0.3 | 0.6 | 1.0 | 2.5 | 2.6 | 2.8 |
- Auvergne-Rhône-Alpes | 2.5 | -0.5 | ** | 4.2 | 2.9 | ** |
- Hauts-de-France | 0.3 | 0.6 | ** | 1.8 | 2.1 | ** |
* Conurbation of Lille | 0.6 | 0.9 | ** | 4.6 | 3.8 | ** |
- Provence-Alpes-Côte d'Azur | -1.4 | * | ** | 0.4 | * | ** |
- ** index released on 6th of January 2020
- * : the indexes for the second quarter of 2019 relating to the Provence-Alpes-Côte d'Azur region are not published on the 28th November.
- Additional data (for example by department in Île-de-France) are available on the web page of the indicator
- (p): provisional ; (sd): semi-definitive
- Scope: Metropolitan France
- Sources : Insee. ADSN – BIEN – Grand Paris notaries. French notaries. Perval society
The annual number of transactions remained high
In Q3 2019, the annual number of transactions remained at a high level: in September, it reached 1,059,000 on a yearly basis, which is higher than the one recorded one quarter earlier (1,015,000 at the end of June) and than the one recorded one year earlier (959,000).
tableauVolume of transactions of second-hand dwellings over the last 12 months
Volume of transactions of second-hand dwellings over the last 12 months | |
---|---|
2000-Q1 | 755 |
2000-Q2 | 768 |
2000-Q3 | 780 |
2000-Q4 | 793 |
2001-Q1 | 785 |
2001-Q2 | 789 |
2001-Q3 | 791 |
2001-Q4 | 784 |
2002-Q1 | 793 |
2002-Q2 | 799 |
2002-Q3 | 802 |
2002-Q4 | 811 |
2003-Q1 | 797 |
2003-Q2 | 793 |
2003-Q3 | 805 |
2003-Q4 | 813 |
2004-Q1 | 823 |
2004-Q2 | 835 |
2004-Q3 | 827 |
2004-Q4 | 822 |
2005-Q1 | 825 |
2005-Q2 | 815 |
2005-Q3 | 820 |
2005-Q4 | 828 |
2006-Q1 | 833 |
2006-Q2 | 835 |
2006-Q3 | 831 |
2006-Q4 | 820 |
2007-Q1 | 812 |
2007-Q2 | 821 |
2007-Q3 | 821 |
2007-Q4 | 810 |
2008-Q1 | 796 |
2008-Q2 | 758 |
2008-Q3 | 717 |
2008-Q4 | 674 |
2009-Q1 | 610 |
2009-Q2 | 578 |
2009-Q3 | 568 |
2009-Q4 | 595 |
2010-Q1 | 656 |
2010-Q2 | 699 |
2010-Q3 | 737 |
2010-Q4 | 776 |
2011-Q1 | 796 |
2011-Q2 | 807 |
2011-Q3 | 821 |
2011-Q4 | 801 |
2012-Q1 | 816 |
2012-Q2 | 781 |
2012-Q3 | 734 |
2012-Q4 | 708 |
2013-Q1 | 661 |
2013-Q2 | 677 |
2013-Q3 | 690 |
2013-Q4 | 720 |
2014-Q1 | 737 |
2014-Q2 | 736 |
2014-Q3 | 727 |
2014-Q4 | 694 |
2015-Q1 | 697 |
2015-Q2 | 715 |
2015-Q3 | 754 |
2015-Q4 | 798 |
2016-Q1 | 809 |
2016-Q2 | 819 |
2016-Q3 | 825 |
2016-Q4 | 845 |
2017-Q1 | 877 |
2017-Q2 | 917 |
2017-Q3 | 949 |
2017-Q4 | 964 |
2018-Q1 | 961 |
2018-Q2 | 956 |
2018-Q3 | 959 |
2018-Q4 | 965 |
2019-Q1 | 984 |
2019-Q2 | 1015 |
2019-Q3 | 1059 |
graphiqueVolume of transactions of second-hand dwellings over the last 12 months
Revisions
The second-hand housing price index is revised in order to include observations recorded after the previous publication.
In comparison with the results released on 30th September 2019, the change in prices in Q2 2019 in metropolitan France was revised downwards. The overall change in prices in Q2 2019 stood at +0.7% compared to Q1 2019, instead of +0.8%.
For further information
The calculation of indexes is based on the transactions completed during the quarter. The methodology is based on models explaining the price of housing according to its characteristics. The current value of a reference housing stock is estimated thanks to these models. Methodological principles of calculation of indexes may be found in « Les indices Notaires-Insee de prix des logements anciens », Insee Méthodes n° 128 released in July 2014.
At the time for publication of this Informations Rapides, around 30 indexes for big cities are not yet available. Between two publications, at the middle-quarter, the Insee Macro-economic database (BDM) and the historical data available on the web page of the index are updated so as to incorporate this information and update the data previously released.
Next data update: 6th January 2020
Next issue: 27th February 2020, 8:45 AM
Pour en savoir plus
The calculation of indexes is based on the transactions completed during the quarter. The methodology is based on models explaining the price of housing according to its characteristics. The current value of a reference housing stock is estimated thanks to these models. Methodological principles of calculation of indexes may be found in « Les indices Notaires-Insee de prix des logements anciens », Insee Méthodes n° 128 released in July 2014.
At the time for publication of this Informations Rapides, around 30 indexes for big cities are not yet available. Between two publications, at the middle-quarter, the Insee Macro-economic database (BDM) and the historical data available on the web page of the index are updated so as to incorporate this information and update the data previously released.
Next data update: 6th January 2020
Next issue: 27th February 2020, 8:45 AM