| Price Index (Jan 2005=100) | Monthly % change | Annual % change | |
| Jul 2015 | 82.4 | 0.9% | 9.4% |
| Aug 2015 | 84.3 | 2.3% | 9.5% |
| Sep 2015 | 85.4 | 1.3% | 8.9% |
In the month of September, residential property prices rose by 1.3% nationwide. Residential property prices remained up 8.9% on an annual basis. See Table 1.
In Dublin residential property prices rose by 0.9% in September. Dublin residential property prices were 6.5% higher than in September 2014. See table 6.
Dublin house prices rose by 1.1% in September whilst Dublin apartment prices decreased by 0.4%. However, it should be noted that the sub-indices for apartments are based on low volumes of observed transactions and consequently suffer from greater volatility than other series. See tables 7 & 8.
Outside of Dublin residential property prices rose by 1.6% in September. Prices were up 11.4% compared with September 2014. See Table 4.
Overall Decline
At national level residential property prices were 34.6% lower than their peak level in 2007. Dublin house prices were 33.7% lower than their peak, Dublin apartment prices were 40.7% lower than their peak and Dublin residential property prices overall were 35.6% lower than their highest level. Outside of Dublin residential property prices were 37.7% lower than their highest level in 2007.
| Contributions to change | annual % change |
|---|---|
| National - All residential properties | 8.9 |
| National - Houses | 9 |
| National - Apartments | 8.3 |
| National excluding Dublin - All residential properties | 11.4 |
| National excluding Dublin - Houses | 11.1 |
| Dublin - All residential properties | 6.5 |
| Dublin - Houses | 6.5 |
| Dublin - Apartments | 6.3 |
| Table 1 National - all residential properties | ||||||||
| Period | RPPI current base Jan.2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 105.6 | ||||||
| 2006 | Year 1 | 121.1 | 14.7 | |||||
| 2007 | Year 1 | 130.0 | 7.3 | |||||
| 2008 | Year 1 | 120.9 | -7.0 | |||||
| 2009 | Year 1 | 98.2 | -18.8 | |||||
| 2010 | Year 1 | 86.0 | -12.4 | |||||
| 2011 | Year 1 | 74.1 | -13.8 | |||||
| 2012 | Year 1 | 65.6 | -11.5 | |||||
| 2013 | Year 1 | 67.0 | 2.1 | |||||
| 2014 | Year 1 | 75.7 | 13.0 | |||||
| 2011 | January | 81.8 | -1.1 | -2.5 | -10.7 | |||
| February | 80.4 | -1.7 | -3.2 | -10.8 | ||||
| March | 79.0 | -1.7 | -4.5 | -11.9 | ||||
| April | 78.2 | -1.0 | -4.4 | -12.2 | ||||
| May | 77.3 | -1.2 | -3.9 | -12.2 | ||||
| June | 75.7 | -2.1 | -4.2 | -12.9 | ||||
| July | 75.1 | -0.8 | -4.0 | -12.5 | ||||
| August | 73.9 | -1.6 | -4.4 | -13.9 | ||||
| September | 72.8 | -1.5 | -3.8 | -14.3 | ||||
| October | 71.2 | -2.2 | -5.2 | -15.1 | ||||
| November | 70.1 | -1.5 | -5.1 | -15.6 | ||||
| December | 68.9 | -1.7 | -5.4 | -16.7 | ||||
| 2012 | January | 67.6 | -1.9 | -5.1 | -17.4 | |||
| February | 66.1 | -2.2 | -5.7 | -17.8 | ||||
| March | 66.1 | 0.0 | -4.1 | -16.3 | ||||
| April | 65.4 | -1.1 | -3.3 | -16.4 | ||||
| May | 65.5 | 0.2 | -0.9 | -15.3 | ||||
| June | 64.8 | -1.1 | -2.0 | -14.4 | ||||
| July | 64.9 | 0.2 | -0.8 | -13.6 | ||||
| August | 65.2 | 0.5 | -0.5 | -11.8 | ||||
| September | 65.8 | 0.9 | 1.5 | -9.6 | ||||
| October | 65.4 | -0.6 | 0.8 | -8.1 | ||||
| November | 66.1 | 1.1 | 1.4 | -5.7 | ||||
| December | 65.8 | -0.5 | 0.0 | -4.5 | ||||
| 2013 | January | 65.4 | -0.6 | 0.0 | -3.3 | |||
| February | 64.4 | -1.5 | -2.6 | -2.6 | ||||
| March | 64.1 | -0.5 | -2.6 | -3.0 | ||||
| April | 64.6 | 0.8 | -1.2 | -1.2 | ||||
| May | 64.8 | 0.3 | 0.6 | -1.1 | ||||
| June | 65.6 | 1.2 | 2.3 | 1.2 | ||||
| July | 66.4 | 1.2 | 2.8 | 2.3 | ||||
| August | 67.0 | 0.9 | 3.4 | 2.8 | ||||
| September | 68.2 | 1.8 | 4.0 | 3.6 | ||||
| October | 69.4 | 1.8 | 4.5 | 6.1 | ||||
| November | 69.8 | 0.6 | 4.2 | 5.6 | ||||
| December | 70.0 | 0.3 | 2.6 | 6.4 | ||||
| 2014 | January | 69.5 | -0.7 | 0.1 | 6.3 | |||
| February | 69.6 | 0.1 | -0.3 | 8.1 | ||||
| March | 69.1 | -0.7 | -1.3 | 7.8 | ||||
| Àpril | 70.1 | 1.4 | 0.9 | 8.5 | ||||
| May | 71.7 | 2.3 | 3.0 | 10.6 | ||||
| June | 73.8 | 2.9 | 6.8 | 12.5 | ||||
| July | 75.3 | 2.0 | 7.4 | 13.4 | ||||
| August | 77.0 | 2.3 | 7.4 | 14.9 | ||||
| September | 78.4 | 1.8 | 6.2 | 15.0 | ||||
| October | 80.7 | 2.9 | 7.2 | 16.3 | ||||
| November | 81.1 | 0.5 | 5.3 | 16.2 | ||||
| December | 81.4 | 0.4 | 3.8 | 16.3 | ||||
| 2015 | January | 80.3 | -1.4 | -0.5 | 15.5 | |||
| February | 80.0 | -0.4 | -1.4 | 14.9 | ||||
| March | 80.7 | 0.9 | -0.9 | 16.8 | ||||
| April | 81.2 | 0.6 | 1.1 | 15.8 | ||||
| May | 81.6 | 0.5 | 2.0 | 13.8 | ||||
| June | 81.7 | 0.1 | 1.2 | 10.7 | ||||
| July | 82.4 | 0.9 | 1.5 | 9.4 | ||||
| August | 84.3 | 2.3 | 3.3 | 9.5 | ||||
| September | 85.4 | 1.3 | 4.5 | 8.9 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, | ||||||||
| June, September and December of each year to account for the use of a 3 month | ||||||||
| rolling average in the published series | ||||||||
| Table 2 National - houses | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 106.0 | ||||||
| 2006 | Year 1 | 121.9 | 15.0 | |||||
| 2007 | Year 1 | 131.3 | 7.7 | |||||
| 2008 | Year 1 | 122.7 | -6.5 | |||||
| 2009 | Year 1 | 101.0 | -17.7 | |||||
| 2010 | Year 1 | 89.3 | -11.6 | |||||
| 2011 | Year 1 | 77.1 | -13.7 | |||||
| 2012 | Year 1 | 68.5 | -11.2 | |||||
| 2013 | Year 1 | 69.7 | 1.8 | |||||
| 2014 | Year 1 | 78.7 | 12.9 | |||||
| 2011 | January | 84.9 | -1.3 | -2.7 | -10.3 | |||
| February | 83.5 | -1.6 | -3.5 | -10.5 | ||||
| March | 82.2 | -1.6 | -4.4 | -11.5 | ||||
| April | 81.3 | -1.1 | -4.2 | -12.0 | ||||
| May | 80.4 | -1.1 | -3.7 | -11.7 | ||||
| June | 78.6 | -2.2 | -4.4 | -12.7 | ||||
| July | 78.1 | -0.6 | -3.9 | -12.2 | ||||
| August | 77.0 | -1.4 | -4.2 | -13.6 | ||||
| September | 76.0 | -1.3 | -3.3 | -13.9 | ||||
| October | 74.3 | -2.2 | -4.9 | -14.9 | ||||
| November | 72.9 | -1.9 | -5.3 | -15.7 | ||||
| December | 71.7 | -1.6 | -5.7 | -16.6 | ||||
| 2012 | January | 70.4 | -1.8 | -5.2 | -17.1 | |||
| February | 69.0 | -2.0 | -5.3 | -17.4 | ||||
| March | 68.9 | -0.1 | -3.9 | -16.2 | ||||
| April | 68.1 | -1.2 | -3.3 | -16.2 | ||||
| May | 68.2 | 0.1 | -1.2 | -15.2 | ||||
| June | 67.6 | -0.9 | -1.9 | -14.0 | ||||
| July | 67.8 | 0.3 | -0.4 | -13.2 | ||||
| August | 68.0 | 0.3 | -0.3 | -11.7 | ||||
| September | 68.7 | 1.0 | 1.6 | -9.6 | ||||
| October | 68.3 | -0.6 | 0.7 | -8.1 | ||||
| November | 69.1 | 1.2 | 1.6 | -5.2 | ||||
| December | 68.7 | -0.6 | 0.0 | -4.2 | ||||
| 2013 | January | 68.1 | -0.9 | -0.3 | -3.3 | |||
| February | 67.0 | -1.6 | -3.0 | -2.9 | ||||
| March | 66.8 | -0.3 | -2.8 | -3.0 | ||||
| April | 67.3 | 0.7 | -1.2 | -1.2 | ||||
| May | 67.6 | 0.4 | 0.9 | -0.9 | ||||
| June | 68.2 | 0.9 | 2.1 | 0.9 | ||||
| July | 69.2 | 1.5 | 2.8 | 2.1 | ||||
| August | 69.8 | 0.9 | 3.3 | 2.6 | ||||
| September | 71.0 | 1.7 | 4.1 | 3.3 | ||||
| October | 72.3 | 1.8 | 4.5 | 5.9 | ||||
| November | 72.7 | 0.6 | 4.2 | 5.2 | ||||
| December | 72.8 | 0.1 | 2.5 | 6.0 | ||||
| 2014 | January | 72.3 | -0.7 | 0.0 | 6.2 | |||
| February | 72.5 | 0.3 | -0.3 | 8.2 | ||||
| March | 71.9 | -0.8 | -1.2 | 7.6 | ||||
| April | 72.9 | 1.4 | 0.8 | 8.3 | ||||
| May | 74.7 | 2.5 | 3.0 | 10.5 | ||||
| June | 76.8 | 2.8 | 6.8 | 12.6 | ||||
| July | 78.2 | 1.8 | 7.3 | 13.0 | ||||
| August | 80.0 | 2.3 | 7.1 | 14.6 | ||||
| September | 81.4 | 1.8 | 6.0 | 14.6 | ||||
| October | 83.9 | 3.1 | 7.3 | 16.0 | ||||
| November | 84.3 | 0.5 | 5.4 | 16.0 | ||||
| December | 84.6 | 0.4 | 3.9 | 16.2 | ||||
| 2015 | January | 83.5 | -1.3 | -0.5 | 15.5 | |||
| February | 83.0 | -0.6 | -1.5 | 14.5 | ||||
| March | 83.8 | 1.0 | -0.9 | 16.6 | ||||
| April | 84.2 | 0.5 | 0.8 | 15.5 | ||||
| May | 84.6 | 0.5 | 1.9 | 13.3 | ||||
| June | 84.7 | 0.1 | 1.1 | 10.3 | ||||
| July | 85.4 | 0.8 | 1.4 | 9.2 | ||||
| August | 87.5 | 2.5 | 3.4 | 9.4 | ||||
| September | 88.7 | 1.4 | 4.7 | 9.0 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
| Table 3 National - apartments | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 102.9 | ||||||
| 2006 | Year 1 | 116.1 | 12.8 | |||||
| 2007 | Year 1 | 122.1 | 5.2 | |||||
| 2008 | Year 1 | 110.5 | -9.5 | |||||
| 2009 | Year 1 | 83.0 | -24.9 | |||||
| 2010 | Year 1 | 68.3 | -17.7 | |||||
| 2011 | Year 1 | 56.8 | -16.8 | |||||
| 2012 | Year 1 | 47.5 | -16.4 | |||||
| 2013 | Year 1 | 50.7 | 6.9 | |||||
| 2014 | Year 1 | 59.5 | 17.4 | |||||
| 2011 | January | 64.7 | 0.0 | -0.6 | -13.8 | |||
| February | 63.5 | -1.9 | -1.6 | -13.1 | ||||
| March | 61.0 | -3.9 | -5.7 | -15.2 | ||||
| April | 60.4 | -1.0 | -6.6 | -15.3 | ||||
| May | 60.0 | -0.7 | -5.5 | -15.7 | ||||
| June | 59.4 | -1.0 | -2.6 | -16.0 | ||||
| July | 57.6 | -3.0 | -4.6 | -15.7 | ||||
| August | 54.9 | -4.7 | -8.5 | -18.3 | ||||
| September | 53.2 | -3.1 | -10.4 | -19.0 | ||||
| October | 52.2 | -1.9 | -9.4 | -19.8 | ||||
| November | 53.6 | 2.7 | -2.4 | -16.9 | ||||
| December | 53.5 | -0.2 | 0.6 | -17.3 | ||||
| 2012 | January | 51.2 | -4.3 | -1.9 | -20.9 | |||
| February | 48.4 | -5.5 | -9.7 | -23.8 | ||||
| March | 48.6 | 0.4 | -9.2 | -20.3 | ||||
| April | 49.6 | 2.1 | -3.1 | -17.9 | ||||
| May | 48.6 | -2.0 | 0.4 | -19.0 | ||||
| June | 47.6 | -2.1 | -2.1 | -19.9 | ||||
| July | 45.8 | -3.8 | -7.7 | -20.5 | ||||
| August | 46.9 | 2.4 | -3.5 | -14.6 | ||||
| September | 46.9 | 0.0 | -1.5 | -11.8 | ||||
| October | 47.1 | 0.4 | 2.8 | -9.8 | ||||
| November | 45.7 | -3.0 | -2.6 | -14.7 | ||||
| December | 46.9 | 2.5 | 0.0 | -12.3 | ||||
| 2013 | January | 48.1 | 2.6 | 2.1 | -6.1 | |||
| February | 51.5 | 7.1 | 12.7 | 6.4 | ||||
| March | 47.9 | -7.0 | 2.1 | -1.4 | ||||
| April | 48.4 | 1.0 | 0.6 | -2.4 | ||||
| May | 47.1 | -2.7 | -8.5 | -3.1 | ||||
| June | 50.1 | 6.4 | 4.6 | 5.3 | ||||
| July | 49.7 | -0.8 | 2.7 | 8.5 | ||||
| August | 50.0 | 0.6 | 6.2 | 6.6 | ||||
| September | 50.9 | 1.8 | 1.6 | 8.5 | ||||
| October | 52.6 | 3.3 | 5.8 | 11.7 | ||||
| November | 52.6 | 0.0 | 5.2 | 15.1 | ||||
| December | 54.0 | 2.7 | 6.1 | 15.1 | ||||
| 2014 | January | 53.6 | -0.7 | 1.9 | 11.4 | |||
| February | 53.7 | 0.2 | 2.1 | 4.3 | ||||
| March | 52.9 | -1.5 | -2.0 | 10.4 | ||||
| April | 54.1 | 2.3 | 0.9 | 11.8 | ||||
| May | 54.9 | 1.5 | 2.2 | 16.6 | ||||
| June | 57.0 | 3.8 | 7.8 | 13.8 | ||||
| July | 59.6 | 4.6 | 10.2 | 19.9 | ||||
| August | 62.0 | 4.0 | 12.9 | 24.0 | ||||
| September | 63.7 | 2.7 | 11.8 | 25.1 | ||||
| October | 63.3 | -0.6 | 6.2 | 20.3 | ||||
| November | 63.9 | 0.9 | 3.1 | 21.5 | ||||
| December | 64.2 | 0.5 | 0.8 | 18.9 | ||||
| 2015 | January | 64.3 | 0.2 | 1.6 | 20.0 | |||
| February | 65.5 | 1.9 | 2.5 | 22.0 | ||||
| March | 66.4 | 1.4 | 3.4 | 25.5 | ||||
| April | 67.5 | 1.7 | 5.0 | 24.8 | ||||
| May | 67.8 | 0.4 | 3.5 | 23.5 | ||||
| June | 67.5 | -0.4 | 1.7 | 18.4 | ||||
| July | 69.0 | 2.2 | 2.2 | 15.8 | ||||
| August | 68.9 | -0.1 | 1.6 | 11.1 | ||||
| September | 69.0 | 0.1 | 2.2 | 8.3 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
| Table 4 National excluding Dublin - all residential properties | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 104.9 | ||||||
| 2006 | Year 1 | 118.4 | 12.9 | |||||
| 2007 | Year 1 | 128.3 | 8.4 | |||||
| 2008 | Year 1 | 120.8 | -5.8 | |||||
| 2009 | Year 1 | 101.2 | -16.2 | |||||
| 2010 | Year 1 | 89.7 | -11.4 | |||||
| 2011 | Year 1 | 78.0 | -13.0 | |||||
| 2012 | Year 1 | 69.1 | -11.4 | |||||
| 2013 | Year 1 | 67.4 | -2.5 | |||||
| 2014 | Year 1 | 71.4 | 5.9 | |||||
| 2011 | January | 85.7 | -0.7 | -1.9 | -10.6 | |||
| February | 84.4 | -1.5 | -2.7 | -10.3 | ||||
| March | 83.1 | -1.5 | -3.7 | -11.0 | ||||
| April | 82.0 | -1.3 | -4.3 | -11.7 | ||||
| May | 80.3 | -2.1 | -4.9 | -12.5 | ||||
| June | 78.8 | -1.9 | -5.2 | -13.0 | ||||
| July | 77.8 | -1.3 | -5.1 | -12.8 | ||||
| August | 77.6 | -0.3 | -3.4 | -13.2 | ||||
| September | 76.8 | -1.0 | -2.5 | -13.2 | ||||
| October | 75.3 | -2.0 | -3.2 | -13.8 | ||||
| November | 74.1 | -1.6 | -4.5 | -14.5 | ||||
| December | 73.3 | -1.1 | -4.6 | -15.1 | ||||
| 2012 | January | 72.8 | -0.7 | -3.3 | -15.1 | |||
| February | 70.6 | -3.0 | -4.7 | -16.4 | ||||
| March | 70.2 | -0.6 | -4.2 | -15.5 | ||||
| April | 68.8 | -2.0 | -5.5 | -16.1 | ||||
| May | 68.9 | 0.1 | -2.4 | -14.2 | ||||
| June | 68.2 | -1.0 | -2.8 | -13.5 | ||||
| July | 68.4 | 0.3 | -0.6 | -12.1 | ||||
| August | 69.3 | 1.3 | 0.6 | -10.7 | ||||
| September | 69.2 | -0.1 | 1.5 | -9.9 | ||||
| October | 68.6 | -0.9 | 0.3 | -8.9 | ||||
| November | 68.8 | 0.3 | -0.7 | -7.2 | ||||
| December | 68.8 | 0.0 | -0.6 | -6.1 | ||||
| 2013 | January | 67.7 | -1.6 | -1.3 | -7.0 | |||
| February | 66.3 | -2.1 | -3.6 | -6.1 | ||||
| March | 66.1 | -0.3 | -3.9 | -5.8 | ||||
| April | 66.9 | 1.2 | -1.2 | -2.8 | ||||
| May | 67.0 | 0.1 | 1.1 | -2.8 | ||||
| June | 67.5 | 0.7 | 2.1 | -1.0 | ||||
| July | 67.4 | -0.1 | 0.7 | -1.5 | ||||
| August | 67.5 | 0.1 | 0.7 | -2.6 | ||||
| September | 67.4 | -0.1 | -0.1 | -2.6 | ||||
| October | 68.4 | 1.5 | 1.5 | -0.3 | ||||
| November | 68.4 | 0.0 | 1.3 | -0.6 | ||||
| December | 68.5 | 0.1 | 1.6 | -0.4 | ||||
| 2014 | January | 68.5 | 0.0 | 0.1 | 1.2 | |||
| February | 69.1 | 0.9 | 1.0 | 4.2 | ||||
| March | 68.0 | -1.6 | -0.7 | 2.9 | ||||
| April | 67.8 | -0.3 | -1.0 | 1.3 | ||||
| May | 68.2 | 0.6 | -1.3 | 1.8 | ||||
| June | 69.8 | 2.3 | 2.6 | 3.4 | ||||
| July | 70.7 | 1.3 | 4.3 | 4.9 | ||||
| August | 71.3 | 0.8 | 4.5 | 5.6 | ||||
| September | 72.1 | 1.1 | 3.3 | 7.0 | ||||
| October | 74.1 | 2.8 | 4.8 | 8.3 | ||||
| November | 75.0 | 1.2 | 5.2 | 9.6 | ||||
| December | 75.5 | 0.7 | 4.7 | 10.2 | ||||
| 2015 | January | 74.8 | -0.9 | 0.9 | 9.2 | |||
| February | 74.8 | 0.0 | -0.3 | 8.2 | ||||
| March | 75.3 | 0.7 | -0.3 | 10.7 | ||||
| April | 75.5 | 0.3 | 0.9 | 11.4 | ||||
| May | 76.3 | 1.1 | 2.0 | 11.9 | ||||
| June | 76.6 | 0.4 | 1.7 | 9.7 | ||||
| July | 77.5 | 1.2 | 2.6 | 9.6 | ||||
| August | 79.0 | 1.9 | 3.5 | 10.8 | ||||
| September | 80.3 | 1.6 | 4.8 | 11.4 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
| Table 5 National excluding Dublin - houses | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 105.4 | ||||||
| 2006 | Year 1 | 118.9 | 12.8 | |||||
| 2007 | Year 1 | 129.1 | 8.6 | |||||
| 2008 | Year 1 | 121.7 | -5.7 | |||||
| 2009 | Year 1 | 102.6 | -15.7 | |||||
| 2010 | Year 1 | 91.3 | -11.0 | |||||
| 2011 | Year 1 | 79.5 | -12.9 | |||||
| 2012 | Year 1 | 70.6 | -11.2 | |||||
| 2013 | Year 1 | 68.9 | -2.4 | |||||
| 2014 | Year 1 | 73.1 | 6.1 | |||||
| 2011 | January | 87.1 | -0.9 | -2.1 | -10.7 | |||
| February | 86.0 | -1.3 | -2.6 | -10.0 | ||||
| March | 84.7 | -1.5 | -3.6 | -10.8 | ||||
| April | 83.5 | -1.4 | -4.1 | -11.6 | ||||
| May | 81.9 | -1.9 | -4.8 | -12.2 | ||||
| June | 80.3 | -2.0 | -5.2 | -12.8 | ||||
| July | 79.3 | -1.2 | -5.0 | -12.6 | ||||
| August | 79.1 | -0.3 | -3.4 | -13.0 | ||||
| September | 78.2 | -1.1 | -2.6 | -13.2 | ||||
| October | 76.8 | -1.8 | -3.2 | -13.7 | ||||
| November | 75.6 | -1.6 | -4.4 | -14.4 | ||||
| December | 74.7 | -1.2 | -4.5 | -15.0 | ||||
| 2012 | January | 74.3 | -0.5 | -3.3 | -14.7 | |||
| February | 72.2 | -2.8 | -4.5 | -16.0 | ||||
| March | 71.8 | -0.6 | -3.9 | -15.2 | ||||
| April | 70.3 | -2.1 | -5.4 | -15.8 | ||||
| May | 70.4 | 0.1 | -2.5 | -14.0 | ||||
| June | 69.7 | -1.0 | -2.9 | -13.2 | ||||
| July | 70.0 | 0.4 | -0.4 | -11.7 | ||||
| August | 70.8 | 1.1 | 0.6 | -10.5 | ||||
| September | 70.7 | -0.1 | 1.4 | -9.6 | ||||
| October | 70.1 | -0.8 | 0.1 | -8.7 | ||||
| November | 70.3 | 0.3 | -0.7 | -7.0 | ||||
| December | 70.3 | 0.0 | -0.6 | -5.9 | ||||
| 2013 | January | 69.3 | -1.4 | -1.1 | -6.7 | |||
| February | 67.7 | -2.3 | -3.7 | -6.2 | ||||
| March | 67.5 | -0.3 | -4.0 | -6.0 | ||||
| April | 68.4 | 1.3 | -1.3 | -2.7 | ||||
| May | 68.6 | 0.3 | 1.3 | -2.6 | ||||
| June | 69.1 | 0.7 | 2.4 | -0.9 | ||||
| July | 69.0 | -0.1 | 0.9 | -1.4 | ||||
| August | 69.0 | 0.0 | 0.6 | -2.5 | ||||
| September | 68.9 | -0.1 | -0.3 | -2.5 | ||||
| October | 70.0 | 1.6 | 1.4 | -0.1 | ||||
| November | 70.0 | 0.0 | 1.4 | -0.4 | ||||
| December | 70.1 | 0.1 | 1.7 | -0.3 | ||||
| 2014 | January | 70.1 | 0.0 | 0.1 | 1.2 | |||
| February | 70.8 | 1.0 | 1.1 | 4.6 | ||||
| March | 69.6 | -1.7 | -0.7 | 3.1 | ||||
| April | 69.4 | -0.3 | -1.0 | 1.5 | ||||
| May | 69.8 | 0.6 | -1.4 | 1.7 | ||||
| June | 71.5 | 2.4 | 2.7 | 3.5 | ||||
| July | 72.4 | 1.3 | 4.3 | 4.9 | ||||
| August | 73.0 | 0.8 | 4.6 | 5.8 | ||||
| September | 73.9 | 1.2 | 3.4 | 7.3 | ||||
| October | 75.9 | 2.7 | 4.8 | 8.4 | ||||
| November | 76.8 | 1.2 | 5.2 | 9.7 | ||||
| December | 77.2 | 0.5 | 4.5 | 10.1 | ||||
| 2015 | January | 76.6 | -0.8 | 0.9 | 9.3 | |||
| February | 76.5 | -0.1 | -0.4 | 8.1 | ||||
| March | 77.1 | 0.8 | -0.1 | 10.8 | ||||
| April | 77.2 | 0.1 | 0.8 | 11.2 | ||||
| May | 77.9 | 0.9 | 1.8 | 11.6 | ||||
| June | 78.3 | 0.5 | 1.6 | 9.5 | ||||
| July | 79.2 | 1.1 | 2.6 | 9.4 | ||||
| August | 80.8 | 2.0 | 3.7 | 10.7 | ||||
| September | 82.1 | 1.6 | 4.9 | 11.1 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
| Table 6 Dublin - all residential properties | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 106.7 | ||||||
| 2006 | Year 1 | 126.1 | 18.2 | |||||
| 2007 | Year 1 | 133.0 | 5.5 | |||||
| 2008 | Year 1 | 120.7 | -9.2 | |||||
| 2009 | Year 1 | 91.6 | -24.1 | |||||
| 2010 | Year 1 | 78.3 | -14.5 | |||||
| 2011 | Year 1 | 66.5 | -15.1 | |||||
| 2012 | Year 1 | 58.4 | -12.2 | |||||
| 2013 | Year 1 | 63.4 | 8.4 | |||||
| 2014 | Year 1 | 76.7 | 21.0 | |||||
| 2011 | January | 73.9 | -1.7 | -3.4 | -10.6 | |||
| February | 72.3 | -2.2 | -4.2 | -11.6 | ||||
| March | 71.0 | -1.8 | -5.6 | -13.0 | ||||
| April | 70.5 | -0.7 | -4.6 | -13.0 | ||||
| May | 70.8 | 0.4 | -2.1 | -11.5 | ||||
| June | 69.1 | -2.4 | -2.7 | -12.6 | ||||
| July | 69.1 | 0.0 | -2.0 | -11.9 | ||||
| August | 66.5 | -3.8 | -6.1 | -14.9 | ||||
| September | 65.1 | -2.1 | -5.8 | -15.6 | ||||
| October | 63.1 | -3.1 | -8.7 | -17.5 | ||||
| November | 62.2 | -1.4 | -6.5 | -17.6 | ||||
| December | 60.7 | -2.4 | -6.8 | -19.3 | ||||
| 2012 | January | 58.3 | -4.0 | -7.6 | -21.1 | |||
| February | 57.6 | -1.2 | -7.4 | -20.3 | ||||
| March | 58.0 | 0.7 | -4.4 | -18.3 | ||||
| April | 58.3 | 0.5 | 0.0 | -17.3 | ||||
| May | 58.4 | 0.2 | 1.4 | -17.5 | ||||
| June | 57.8 | -1.0 | -0.3 | -16.4 | ||||
| July | 57.6 | -0.3 | -1.2 | -16.6 | ||||
| August | 57.3 | -0.5 | -1.9 | -13.8 | ||||
| September | 58.7 | 2.4 | 1.6 | -9.8 | ||||
| October | 58.6 | -0.2 | 1.7 | -7.1 | ||||
| November | 60.0 | 2.4 | 4.7 | -3.5 | ||||
| December | 59.2 | -1.3 | 0.9 | -2.5 | ||||
| 2013 | January | 59.5 | 0.5 | 1.5 | 2.1 | |||
| February | 59.3 | -0.3 | -1.2 | 3.0 | ||||
| March | 58.8 | -0.8 | -0.7 | 1.4 | ||||
| April | 58.9 | 0.2 | -1.0 | 1.0 | ||||
| May | 59.2 | 0.5 | -0.2 | 1.4 | ||||
| June | 60.2 | 1.7 | 2.4 | 4.2 | ||||
| July | 62.2 | 3.3 | 5.6 | 8.0 | ||||
| August | 63.4 | 1.9 | 7.1 | 10.6 | ||||
| September | 65.9 | 3.9 | 9.5 | 12.3 | ||||
| October | 67.4 | 2.3 | 8.4 | 15.0 | ||||
| November | 68.3 | 1.3 | 7.7 | 13.8 | ||||
| December | 68.5 | 0.3 | 3.9 | 15.7 | ||||
| 2014 | January | 67.6 | -1.3 | 0.3 | 13.6 | |||
| February | 67.2 | -0.6 | -1.6 | 13.3 | ||||
| March | 67.2 | 0.0 | -1.9 | 14.3 | ||||
| April | 69.3 | 3.1 | 2.5 | 17.7 | ||||
| May | 72.2 | 4.2 | 7.4 | 22.0 | ||||
| June | 74.6 | 3.3 | 11.0 | 23.9 | ||||
| July | 76.6 | 2.7 | 10.5 | 23.2 | ||||
| August | 79.3 | 3.5 | 9.8 | 25.1 | ||||
| September | 81.3 | 2.5 | 9.0 | 23.4 | ||||
| October | 83.7 | 3.0 | 9.3 | 24.2 | ||||
| November | 83.6 | -0.1 | 5.4 | 22.4 | ||||
| December | 83.8 | 0.2 | 3.1 | 22.3 | ||||
| 2015 | January | 82.2 | -1.9 | -1.8 | 21.6 | |||
| February | 81.6 | -0.7 | -2.4 | 21.4 | ||||
| March | 82.5 | 1.1 | -1.6 | 22.8 | ||||
| April | 83.3 | 1.0 | 1.3 | 20.2 | ||||
| May | 83.2 | -0.1 | 2.0 | 15.2 | ||||
| June | 82.9 | -0.4 | 0.5 | 11.1 | ||||
| July | 83.5 | 0.7 | 0.2 | 9.0 | ||||
| August | 85.8 | 2.8 | 3.1 | 8.2 | ||||
| September | 86.6 | 0.9 | 4.5 | 6.5 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
| Table 7 Dublin - houses | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 107.4 | ||||||
| 2006 | Year 1 | 128.5 | 19.6 | |||||
| 2007 | Year 1 | 136.0 | 5.8 | |||||
| 2008 | Year 1 | 124.9 | -8.2 | |||||
| 2009 | Year 1 | 95.8 | -23.3 | |||||
| 2010 | Year 1 | 83.0 | -13.4 | |||||
| 2011 | Year 1 | 70.6 | -14.9 | |||||
| 2012 | Year 1 | 62.0 | -12.2 | |||||
| 2013 | Year 1 | 67.1 | 8.1 | |||||
| 2014 | Year 1 | 81.2 | 21.0 | |||||
| 2011 | January | 78.4 | -1.9 | -3.8 | -9.4 | |||
| February | 76.4 | -2.6 | -5.2 | -11.5 | ||||
| March | 75.2 | -1.6 | -5.9 | -12.9 | ||||
| April | 74.9 | -0.4 | -4.5 | -12.6 | ||||
| May | 75.1 | 0.3 | -1.7 | -10.9 | ||||
| June | 73.3 | -2.4 | -2.5 | -11.9 | ||||
| July | 73.5 | 0.3 | -1.9 | -11.6 | ||||
| August | 71.0 | -3.4 | -5.5 | -14.7 | ||||
| September | 69.8 | -1.7 | -4.8 | -15.3 | ||||
| October | 67.6 | -3.2 | -8.0 | -17.1 | ||||
| November | 66.0 | -2.4 | -7.0 | -18.1 | ||||
| December | 64.0 | -3.0 | -8.3 | -19.9 | ||||
| 2012 | January | 61.4 | -4.1 | -9.2 | -21.7 | |||
| February | 61.0 | -0.7 | -7.6 | -20.2 | ||||
| March | 61.4 | 0.7 | -4.1 | -18.4 | ||||
| April | 61.5 | 0.2 | 0.2 | -17.9 | ||||
| May | 61.8 | 0.5 | 1.3 | -17.7 | ||||
| June | 61.3 | -0.8 | -0.2 | -16.4 | ||||
| July | 61.2 | -0.2 | -0.5 | -16.7 | ||||
| August | 60.8 | -0.7 | -1.6 | -14.4 | ||||
| September | 62.4 | 2.6 | 1.8 | -10.6 | ||||
| October | 62.3 | -0.2 | 1.8 | -7.8 | ||||
| November | 64.0 | 2.7 | 5.3 | -3.0 | ||||
| December | 62.9 | -1.7 | 0.8 | -1.7 | ||||
| 2013 | January | 63.1 | 0.3 | 1.3 | 2.8 | |||
| February | 62.5 | -1.0 | -2.3 | 2.5 | ||||
| March | 62.3 | -0.3 | -1.0 | 1.5 | ||||
| April | 62.3 | 0.0 | -1.3 | 1.3 | ||||
| May | 62.6 | 0.5 | 0.2 | 1.3 | ||||
| June | 63.5 | 1.4 | 1.9 | 3.6 | ||||
| July | 65.8 | 3.6 | 5.6 | 7.5 | ||||
| August | 67.2 | 2.1 | 7.3 | 10.5 | ||||
| September | 70.0 | 4.2 | 10.2 | 12.2 | ||||
| October | 71.4 | 2.0 | 8.5 | 14.6 | ||||
| November | 72.4 | 1.4 | 7.7 | 13.1 | ||||
| December | 72.5 | 0.1 | 3.6 | 15.3 | ||||
| 2014 | January | 71.4 | -1.5 | 0.0 | 13.2 | |||
| February | 71.0 | -0.6 | -1.9 | 13.6 | ||||
| March | 71.2 | 0.3 | -1.8 | 14.3 | ||||
| April | 73.4 | 3.1 | 2.8 | 17.8 | ||||
| May | 76.6 | 4.4 | 7.9 | 22.4 | ||||
| June | 79.0 | 3.1 | 11.0 | 24.4 | ||||
| July | 81.0 | 2.5 | 10.4 | 23.1 | ||||
| August | 83.8 | 3.5 | 9.4 | 24.7 | ||||
| September | 85.8 | 2.4 | 8.6 | 22.6 | ||||
| October | 88.6 | 3.3 | 9.4 | 24.1 | ||||
| November | 88.5 | -0.1 | 5.6 | 22.2 | ||||
| December | 88.8 | 0.3 | 3.5 | 22.5 | ||||
| 2015 | January | 86.9 | -2.1 | -1.9 | 21.7 | |||
| February | 86.0 | -1.0 | -2.8 | 21.1 | ||||
| March | 86.9 | 1.0 | -2.1 | 22.1 | ||||
| April | 87.8 | 1.0 | 1.0 | 19.6 | ||||
| May | 87.6 | -0.2 | 1.9 | 14.4 | ||||
| June | 87.3 | -0.3 | 0.5 | 10.5 | ||||
| July | 87.8 | 0.6 | 0.0 | 8.4 | ||||
| August | 90.4 | 3.0 | 3.2 | 7.9 | ||||
| September | 91.4 | 1.1 | 4.7 | 6.5 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
| Table 8 Dublin - apartments | ||||||||
| Period | RPPI current base Jan. 2005 = 100 | Percentage changes | ||||||
| 1 month | 3 months | 12 months | ||||||
| % | % | % | ||||||
| 2005 | Year 1 | 104.7 | ||||||
| 2006 | Year 1 | 118.7 | 13.4 | |||||
| 2007 | Year 1 | 124.0 | 4.5 | |||||
| 2008 | Year 1 | 110.8 | -10.6 | |||||
| 2009 | Year 1 | 81.9 | -26.1 | |||||
| 2010 | Year 1 | 67.2 | -17.9 | |||||
| 2011 | Year 1 | 56.6 | -15.8 | |||||
| 2012 | Year 1 | 48.4 | -14.5 | |||||
| 2013 | Year 1 | 53.2 | 9.8 | |||||
| 2014 | Year 1 | 65.3 | 22.7 | |||||
| 2011 | January | 63.7 | -0.3 | -1.2 | -14.0 | |||
| February | 63.2 | -0.8 | -0.3 | -11.9 | ||||
| March | 61.4 | -2.8 | -3.9 | -13.3 | ||||
| April | 60.3 | -1.8 | -5.3 | -14.1 | ||||
| May | 60.1 | -0.3 | -4.9 | -14.8 | ||||
| June | 59.2 | -1.5 | -3.6 | -15.3 | ||||
| July | 58.1 | -1.9 | -3.6 | -13.7 | ||||
| August | 54.6 | -6.0 | -9.2 | -17.4 | ||||
| September | 52.0 | -4.8 | -12.2 | -19.3 | ||||
| October | 50.8 | -2.3 | -12.6 | -21.2 | ||||
| November | 53.2 | 4.7 | -2.6 | -16.1 | ||||
| December | 53.9 | 1.3 | 3.7 | -15.6 | ||||
| 2012 | January | 52.0 | -3.5 | 2.4 | -18.4 | |||
| February | 48.7 | -6.3 | -8.5 | -22.9 | ||||
| March | 49.8 | 2.3 | -7.6 | -18.9 | ||||
| April | 51.1 | 2.6 | -1.7 | -15.3 | ||||
| May | 50.3 | -1.6 | 3.3 | -16.3 | ||||
| June | 48.6 | -3.4 | -2.4 | -17.9 | ||||
| July | 46.7 | -3.9 | -8.6 | -19.6 | ||||
| August | 47.3 | 1.3 | -6.0 | -13.4 | ||||
| September | 47.4 | 0.2 | -2.5 | -8.8 | ||||
| October | 47.2 | -0.4 | 1.1 | -7.1 | ||||
| November | 46.3 | -1.9 | -2.1 | -13.0 | ||||
| December | 48.0 | 3.7 | 1.3 | -10.9 | ||||
| 2013 | January | 49.6 | 3.3 | 5.1 | -4.6 | |||
| February | 52.5 | 5.8 | 13.4 | 7.8 | ||||
| March | 48.7 | -7.2 | 1.5 | -2.2 | ||||
| April | 49.6 | 1.8 | 0.0 | -2.9 | ||||
| May | 49.7 | 0.2 | -5.3 | -1.2 | ||||
| June | 53.3 | 7.2 | 9.4 | 9.7 | ||||
| July | 52.1 | -2.3 | 5.0 | 11.6 | ||||
| August | 52.1 | 0.0 | 4.8 | 10.1 | ||||
| September | 52.6 | 1.0 | -1.3 | 11.0 | ||||
| October | 55.7 | 5.9 | 6.9 | 18.0 | ||||
| November | 55.9 | 0.4 | 7.3 | 20.7 | ||||
| December | 58.0 | 3.8 | 10.3 | 20.8 | ||||
| 2014 | January | 57.9 | -0.2 | 3.9 | 16.7 | |||
| February | 58.0 | 0.2 | 3.8 | 10.5 | ||||
| March | 56.8 | -2.1 | -2.1 | 16.6 | ||||
| April | 58.3 | 2.6 | 0.7 | 17.5 | ||||
| May | 59.4 | 1.9 | 2.4 | 19.5 | ||||
| June | 63.0 | 6.1 | 10.9 | 18.2 | ||||
| July | 65.8 | 4.4 | 12.9 | 26.3 | ||||
| August | 69.1 | 5.0 | 16.3 | 32.6 | ||||
| September | 71.1 | 2.9 | 12.9 | 35.2 | ||||
| October | 70.7 | -0.6 | 7.4 | 26.9 | ||||
| November | 70.9 | 0.3 | 2.6 | 26.8 | ||||
| December | 70.2 | -1.0 | -1.3 | 21.0 | ||||
| 2015 | January | 70.8 | 0.9 | 0.1 | 22.3 | |||
| February | 72.2 | 2.0 | 1.8 | 24.5 | ||||
| March | 73.7 | 2.1 | 5.0 | 29.8 | ||||
| April | 73.7 | 0.0 | 4.1 | 26.4 | ||||
| May | 74.0 | 0.4 | 2.5 | 24.6 | ||||
| June | 73.7 | -0.4 | 0.0 | 17.0 | ||||
| July | 75.7 | 2.7 | 2.7 | 15.0 | ||||
| August | 75.9 | 0.3 | 2.6 | 9.8 | ||||
| September | 75.6 | -0.4 | 2.6 | 6.3 | ||||
| 1 The Annual Index is calculated as a simple average of the published indices for March, June, | ||||||||
| September and December of each year to account for the use of a 3 month rolling average in the | ||||||||
| published series | ||||||||
Definition
The Residential Property Price Index (RPPI) is designed to measure the change in the average level of prices paid for residential properties sold in Ireland. The index is mix-adjusted to allow for the fact that different types of property are sold in different periods.
Data Source
The RPPI is compiled using data on mortgage drawdowns provided on a monthly basis by 8 of the main Mortgage Lending Institutions under Section 13 of the Housing Act (2002). This data provides details on the characteristics of properties bought (such as building type and size) as well as the price paid. It is transactions based; meaning that prices are recorded only where a sale occurs. Not all residential property transactions are funded by a mortgage (i.e. they are cash based) and these transactions are excluded from the scope of the index.
The CSO is currently examining Stamp Duty returns to the Revenue Commissioners, made via the Revenue Online Service (ROS), with a view to assessing both the extent of cash-based full market price transactions and any potential bias in the RPPI that might accrue from their exclusion.
Mix Adjustment
Residential properties are heterogeneous, meaning that no two houses or apartments are exactly identical. This poses a challenge when trying to construct a price index as there is a need to separate pure price change from differences in the quality of the products being bought over time. Typically this is done by comparing the prices of exactly the same products, time after time. This is, for example, the method used in the Consumer Price Index. However, in the case of residential properties, price is determined by many characteristics (location, size, build type etc) which make direct price comparisons difficult. Furthermore, only a small portion of the total housing stock is sold in any given month. The combination of these factors means that the matching process that would typically be used to calculate a standard or typical price index cannot be used in the case of houses and apartments.
The hedonic method is the prevalent statistical process for the measurement of residential price change. In this method, a number of characteristics which influence prices are analysed so that we can estimate and exclude the part of the price change that can be attributed to them. These characteristics are; location, building type, floor area, number of bedrooms, new or old and first time buyer or not. By excluding the price change determined by these characteristics we are left with an index of pure price change for a consistent set of characteristics - or more simply - a residential property price index. This index uses the rolling year hedonic regression model.
Weights
Weights are calculated at the beginning of each year based on the value of transactions during the previous year as given by the mortgage drawdown data. The index is an annual chain-linked Laspeyres-type index. It is calculated by updating the previous month’s weights by the estimated monthly changes in their average prices.
Periodicity
The index is compiled on a monthly basis. In order to smooth out short-term volatility in the series and highlight longer-term trends the published indices are based on a 3 month rolling average, i.e. a simple average of the current month and the previous 2 months. However, care should still be taken when interpreting monthly figures which may indicate short-term volatility rather than underlying change in longer term price trends.
Aggregate indices (National - all residential properties, National - houses, National - apartments, National excluding Dublin - all residential properties and Dublin - all residential properties) are compiled using monthly indices rather than the published 3 month rolling average indices . As a result these higher level indices may, in some periods, show a slight variation with their published constituent indices.
Geographic Split
The indices for Dublin include residential properties in the 4 local authority areas, covering both Dublin city and county.
Calculating percentage changes in the index The movement of the RPPI is expressed as percentage change, rather than a change in index points, because index point changes are affected by the level of the index in relation to its base period, whereas percentage changes are not.
The example below illustrates the computation of a percentage change:
|
Percentage Change Calculation | |
|---|---|
| Current Index | 79.0 |
| Less Previous Index | 80.4 |
| Equals in index points | -1.4 |
| Divided by the previous index | 80.4 |
| Equals | -0.0174 |
| Results multiplied by 100 | -0.0174*100 |
| Equals percentage change | -1.7% |
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Show Table 1 National - all residential properties
Hide Table 1 National - all residential properties