Back to Top

 Skip navigation

Introduction

Open in Excel:

Launch of new Residential Property Price Index (RPPI)

  1.1    Overview

A new Residential Property Price Index (RPPI) is being launched for Ireland. The new RPPI incorporates significant methodological improvements over the original RPPI. This new index replaces the original RPPI and involves revisions to the existing series (see Figure 1.1).

MonthOriginalNew
Jan-05100100
Feb-05100.4100.8
Mar-05100.6101.4
Apr-05101.3102.1
May-05102102.8
Jun-05102.9103.7
Jul-05104.3105.3
Aug-05105.9107.1
Sep-05107.2108.2
Oct-05109110.6
Nov-05110111.5
Dec-05111.5112.6
Jan-06111.8113.2
Feb-06112.6113.5
Mar-06113.1114.1
Apr-06114.6115.8
May-06116.8118.2
Jun-06119120.3
Jul-06121.3123
Aug-06123.5125.8
Sep-06125.1126.8
Oct-06126127.6
Nov-06126.1127.6
Dec-06127.3128.6
Jan-07128.4129.7
Feb-07129.6130.3
Mar-07129.9130.5
Apr-07130.3131
May-07130.2130.6
Jun-07130.2130.3
Jul-07130.2130.6
Aug-07130.4130.4
Sep-07130.5130.4
Oct-07130.1130
Nov-07130.1130
Dec-07129.5129.2
Jan-08128.7128.1
Feb-08127.6127
Mar-08126.6125.9
Apr-08125.7124.8
May-08124.6123.5
Jun-08123.4122.3
Jul-08122.5121.6
Aug-08121.5120.3
Sep-08120.1118.8
Oct-08117.7116.2
Nov-08115.7114.1
Dec-08113.5111.9
Jan-09111.3109
Feb-09108.5106
Mar-09105.6103.2
Apr-09103.3100.9
May-09101.198.5
Jun-0999.296.9
Jul-0997.595.5
Aug-0996.294.3
Sep-0995.594.2
Oct-0994.493.1
Nov-0993.992.8
Dec-0992.491.5
Jan-1091.690.6
Feb-1090.189
Mar-1089.787.5
Apr-1089.187
May-108885.4
Jun-1086.985
Jul-1085.884.8
Aug-1085.884.3
Sep-1084.983.3
Oct-1083.981.7
Nov-1083.180
Dec-1082.778.6
Jan-1181.878.2
Feb-1180.476.8
Mar-117974.8
Apr-1178.273.8
May-1177.372.7
Jun-1175.771.5
Jul-1175.170.7
Aug-1173.969.4
Sep-1172.867.9
Oct-1171.267
Nov-1170.165.6
Dec-1168.964.1
Jan-1267.662.6
Feb-1266.161.2
Mar-1266.161.6
Apr-1265.460.5
May-1265.560.5
Jun-1264.860.5
Jul-1264.961
Aug-1265.260.9
Sep-1265.861.4
Oct-1265.461.4
Nov-1266.161.3
Dec-1265.861.7
Jan-1365.460.8
Feb-1364.460.2
Mar-1364.159.7
Apr-1364.659.8
May-1364.859.8
Jun-1365.661.5
Jul-1366.463.3
Aug-136764.4
Sep-1368.265.5
Oct-1369.465.8
Nov-1369.866.2
Dec-137067.2
Jan-1469.566.9
Feb-1469.666.8
Mar-1469.167.3
Apr-1470.168.7
May-1471.770.5
Jun-1473.873
Jul-1475.375.5
Aug-147776.9
Sep-1478.478.4
Oct-1480.779.2
Nov-1481.179.3
Dec-1481.478.7
Jan-1580.378.4
Feb-158077.8
Mar-1580.777.6
Apr-1581.277.7
May-1581.678.4
Jun-1581.779.5
Jul-1582.480.1
Aug-1584.381.1
Sep-1585.481.7
Oct-1586.882.7
Nov-1586.482.6
Dec-1586.882.3
Jan-1686.482.8
Feb-1686.482
Mar-1686.781.9
Apr-168782.2
May-1687.282.6
Jun-1687.183.4
Jul-1688.185.5

The overall price trends for the new and the original indices are similar. However, the trough at March 2013 is lower in the new series, reflecting better coverage of transactions outside of Dublin in particular. The new RPPI indicates that the peak to trough fall in residential property prices was 54.4%, not 50.9% as recorded previously. The price increase from the trough to the latest month (July 2016) is 43.2% using the new RPPI, whereas it was estimated as 37.4% using the original RPPI (See Table 1.1).

Table 1.1: Revisions to national Residential Property Price Index
   
 Original RPPI % change                 New RPPI % change
Peak to Trough-50.9-54.4
Trough to Present37.443.2

  

Table 1.2: New and original national Residential Property Price Index, May-July 2016
     
MonthOriginal (Jan 2005=100)New (Jan 2005=100)Difference % 
May 210687.282.6-5.3 
June 201687.183.4-4.2 
July 201688.185.5-3.0 

Open in Excel:

1.2     Difference between the new and original RPPI

The difference between the original and the new RPPI at national level is driven primarily by differences between the respective sub-indices for houses outside of Dublin. There are only minimal differences between the original and the new sub-indices for Dublin. The latest available comparison for July 2016 indicates that residential property prices are 3.0% lower than originally estimated (see Table 1.2).

The new RPPI price model indicates that cash buyers generally paid less for residential property than mortgage buyers, all other things being equal, over the period 2010 to 2016. This differential was most pronounced when the market was at its lowest and outside of Dublin. However, further research is required to identify and quantify all the factors contributing to the differences between the original and the new RPPI.

Open in Excel:

 1.3     Improvements in the new RPPI

 1.3.1  Coverage

The new RPPI covers all market purchases of houses and apartments by households, both cash and mortgage-based transactions. This coverage (i.e. market purchases by households) is defined in the EU rules for compilation of price indices on Owner-Occupied Housing in the Harmonised Index of Consumer Prices (HICP).

The RPPI is based on stamp duty returns made to the Revenue Commissioners. The original RPPI was based on mortgage data from the credit institutions and, as such, its coverage of the market was less complete. For example, between 2011 and 2015, about half of household property transactions were funded by a mortgage; the percentage was as low as 44.4% in 2013 (see Table 1.3).

Table 1.3: Stamp Duty Returns versus Mortgages, 2010-2015
       
YearStamp Duty Returns (household residential property transactions)Mortgages1 
MarketNon-marketTotalNumber % Total household transactions 
 
2010 14,8307,88922,71918,31380.6 
2011 13,6557,75221,40711,13152.0 
2012 19,4748,67828,15214,16050.3 
2013 23,2187,15030,36813,47244.4 
2014 33,1107,01240,12220,15550.2 
2015p37,0487,01344,06124,15654.8 
 Transactions in New RPPI  Transactions in Original RPPI  
1: Sourced from Banking Payment Federation of Ireland
p: Provisional estimates for stamp duty returns for 2015

 As well as the RPPI, additional indicators for volume, value and average price of all residential property transactions (i.e. not confined to household market purchases) are also being compiled.

1.3.2  Accuracy

As well as improved coverage, the new RPPI uses higher quality data sources and more detailed locational characteristics in the price model. The improvements in accuracy can be summarised as follows:

  • The price model used to determine the evolution of prices uses a higher volume of transactions leading to better results.
  • The stamp duty data from the Revenue Commissioners used in the new RPPI is more complete (e.g. less missing information) than the mortgage transaction data used in the original index.
  • Eircode routing keys (the first three characters of the Eircodes) are used in the new index to better account for locational differences between dwellings. Only county level information was available in the original index outside of Dublin.
  • The level of affluence or deprivation of an area is assigned to dwellings using the Pobal HP (Haase-Pratschke) Deprivation Index. The use of this index along with the Eircodes provides very rich locational information on each dwelling. This was not possible in the original index.

 1.3.3  Breadth of data sources

The primary data source for the new RPPI is the actual sales price recorded on the stamp duty returns (the same data source as the Residential Property Price Register). Other characteristics used in the index model are obtained by linking this information, at transaction level, with other sources. The floor area of the dwellings and the dwelling types are obtained from Building Energy Rating (BER) certification data provided by the Sustainable Energy Authority of Ireland (SEAI). Locational characteristics are obtained from the GeoDirectory (Eircodes) and Census 2011 Small Area Population Statistics (SAPS).

This information is used to calculate a constant quality price index which takes account of the location and other characteristics of the dwelling. 

Open in Excel:

1.4 Constant quality price index

As was the case for the original index, the new RPPI is a quality adjusted price index that measures the price of residential property purchased by households in the residential property market. Quality adjustment compares like with like. The RPPI answers the question how much more would it cost to re-purchase the same ‘basket’ of residential dwellings month-on-month? Unlike the consumer price index, for example, where the same basket of goods can be re-priced directly every month, the mix of dwellings sold varies from month to month. The RPPI uses hedonic regression methods to isolate house price changes independent of physical and locational differences. Without quality adjustment, the RPPI would simply reflect average house prices and would be subject to changes in the mix of dwelling types sold in each month. Such an unadjusted index would not be a stable indicator of trends in residential property prices (see Figure 1.2).

X-axis labelNew RPPIAverage Price
January 201090.6288230
February 201089270345
March 201087.5279558
April 201087266549
May 201085.4255290
June 201085264379
July 201084.8255101
August 201084.3266543
September 201083.3258059
October 201081.7247619
November 201080232684
December 201078.6243925
January 201178.2246920
February 201176.8246866
March 201174.8245355
April 201173.8232791
May 201172.7232787
June 201171.5222839
July 201170.7226628
August 201169.4241945
September 201167.9223360
October 201167217790
November 201165.6212112
December 201164.1209150
January 201262.6202749
February 201261.2197887
March 201261.6200641
April 201260.5186618
May 201260.5205774
June 201260.5194480
July 201261214010
August 201260.9217704
September 201261.4209503
October 201261.4194937
November 201261.3192777
December 201261.7209603
January 201360.8188465
February 201360.2198397
March 201359.7184062
April 201359.8199064
May 201359.8185803
June 201361.5207350
July 201363.3205510
August 201364.4216697
September 201365.5209135
October 201365.8211428
November 201366.2220702
December 201367.2214036
January 201466.9202953
February 201466.8197125
March 201467.3191575
April 201468.7200138
May 201470.5208582
June 201473217627
July 201475.5224719
August 201476.9230397
September 201478.4232238
October 201479.2226940
November 201479.3215656
December 201478.7203668
January 201578.4221385
February 201577.8207285
March 201577.6203760
April 201577.7207616
May 201578.4215204
June 201579.5221547
July 201580.1234348
August 201581.1247195
September 201581.7230465
October 201582.7233193
November 201582.6223538
December 201582.3220110
January 201682.8238707
February 201682224863
March 201681.9229853
April 201682.2232061
May 201682.6238375
June 201683.4236232
July 201685.5235936

Open in Excel:

1.5  New statistical outputs

1.5.1  New sub-indices

The greater number of transactions available for the new RPPI permits a greater level of geographical disaggregation than previously possible. Four new house price indices are being provided for the Dublin region:

  • Dublin City
  • Dún Laoghaire-Rathdown
  • Fingal
  • South Dublin

Seven new regional house price indices are being provided for the rest of Ireland:

  • Border (excluding Co. Louth)
  • Midland
  • West
  • Mid-East (Co. Louth)
  • Mid-West (including South Tipperary)
  • South-East (excluding South Tipperary)
  • South-West

One new apartment price index is being provided (It is not possible to provide further breakdowns for this dwelling type due to the lower volumes of transactions).

  • Ireland (excluding Dublin)

 

These new sub-indices provide further insights into the residential property market, showing for example that house prices in the Dublin City administrative zone are leading the recovery, from the national low point of March 2013, and house prices in the Mid-West region have been slowest to recover in price (see Figure 1.3).

% Change
Dublin City Houses60.6
Dublin All Apartments54.9
South Dublin Houses49.4
Fingal Houses45.6
Midland Houses44.4
Mid-East Houses42.6
South-West Houses38.9
Dun Laogh-Rath Houses38.6
Border Houses32.3
South-East Houses30.7
West Houses26.5
Rest of Ireland Apartments26.2
Mid-West Houses21

 

1.5.2  Additional indicators

The new RPPI is being launched with an extensive range of additional indicators on the residential property market. There are three core additional indicators;

  • Volume of dwellings transacted
  • Value of dwellings transacted
  • Average price (not quality-adjusted)

These are broken down by the characteristics of the buyers, the characteristics of the dwellings and geographical location (region, county and Eircode routing keys).

These additional indicators are provided broken down by two reference dates; the date the transactions were executed and the date the transactions were filed. To allow for late submissions of stamp duty returns, all execution statistics are preliminary and subject to revision until 12 months after the reference month.  Filing statistics are not subject to revision and serve as lead indicators for execution statistics. Over the course of a year, numbers of executions and filings are similar (see Figure 1.4) 

All additional indicators quoted in subsequent chapters of this publication are based on filing statistics.  

YearFiledExecuted
20101524614830
20111461613655
20121910619474
20132306523218
20143232633110
20153806937048
20162013417700

Open in Excel:

1.6  Exclusions

In relation to the price indices, purchases of residential property by non-households (private companies, real estate investment trusts, the state sector, etc.) and non-market transactions (family transfers, social housing, etc.) are excluded. However, information on these purchases is included in the additional indicator statistics.

Open in Excel:

1.7 Timeliness and Revisions Policy

The statutory deadline for submitting a stamp duty return is within 44 days of the transaction being executed. Practically, this means that a minimum of two months must elapse before a full set of transaction data is available for any given reference month (in practice, late returns can delay this further). Rather than delay the new RPPI, the new RPPI will be published within approximately one month of the reference month based on the stamp duty returns filed with Revenue the previous month. Over the latest two months, as more transactions are filed for the reference month, the RPPI will be revised. Therefore, the latest two months of the new RPPI are preliminary results only.

Open in Excel:

1.8   Further information  

Further methodological notes on the new index are available in the Background Notes.

The new RPPI detailed results and the additional indicators are available here

 

 

 

Go to next chapter >>> National