Ireland - House Price Value for New Homes
Ireland: House Price Value for New Homes
| Mnemonic | HPLN.IIRL | |
|---|---|---|
| Unit | EUR, NSA | |
| Adjustments | Not Seasonally Adjusted | |
| Quarterly | 6.08 % | |
| Data | 2016 Q4 | 323,875 |
| 2016 Q3 | 305,300 | |
Series Information
| Source | Department of the Environment, Community and Local Government |
| Release | Real Estate - Housing Statistics (Q) |
| Frequency | Quarterly |
| Start Date | 3/31/1997 |
| End Date | 12/31/2016 |
Ireland: Real Estate
| Reference | Last | Previous | Units | Frequency | |
|---|---|---|---|---|---|
| House Price Index | Mar 2020 | 135.53 | 135.17 | Index 2015=100, SA | Monthly |
| Residential Building Completions | 2020 Q1 | 4,986 | 6,392 | #, NSA | Quarterly |
| Building Permits | 2018 Q4 | 6,300 | 7,440 | #, NSA | Quarterly |
| Dwelling Stocks | 2018 | 2,032 | 2,018 | Ths. # | Annual |
| Residential Building Permits | 2018 Q4 | 1,509 | 1,593 | #, NSA | Quarterly |
| Building Completions | 2017 Q1 | 3,896 | 4,425 | #, NSA | Quarterly |
| House Price Value for Existing Homes | 2016 Q4 | 292,457 | 284,332 | EUR, NSA | Quarterly |
| House Price Value for New Homes | 2016 Q4 | 323,875 | 305,300 | EUR, NSA | Quarterly |
Release Information
The CSO produces quarterly average housing price statistics for new and second-hand properties, houses and apartments. Geographic level includes the nation, five sub-national regions, including Dublin, Cork, Galway, Limerick, and Waterford, and an 'other areas' geography.
Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (including apartments) will affect the average figures.
Average house price is a simple average based on the mortgages approved in that quarter. It excludes cash transactions. Information is gathered from lending institutions on a quarterly basis.
Source will go for months without posting update then post multiple months of data at a time.
