1 Jul 2019 The URA index now stands at its highest level since the first quarter of 2014, when it was 151.3 points. Read also: New private home sales 2Q 2019 Flash URA / HDB Real Estate Statistics · Published on 17/06/ The Private home price index experienced a price dip of 0.6% in Q1 2019.The HDB resale market reflected a price decline of 0.3% in the 1Q 2019. Published on 19/ 03/ 2 Jan 2019 According to HDB's resale price index, prices of resale flats in with the 1.1 per cent increase the year before, URA's estimates showed. 26 Dec 2014 URA Public deserves reliable, consistent data. Published on Dec 18, 2014. THE computation of the HDB's resale price index has recently been
Resale transacted prices for all flat types in each block All other related information to the block (EIP/SPR Quota, Upgrading Programmes and Distance Enquiry for CPF Housing Grant) The data is based on registered resale applications and is updated daily. The index is based on quarterly average resale price by date of registration. The index till 3Q2014 was computed using stratification method, while that from 4Q2014 onwards is computed using the stratified hedonic regression method. 1Q2009 is adopted as the new base period with index at 100.
The private residential property index increased 1.3 per cent to 150.5 points in the second quarter, HDB Q2 resale prices fall slightly, continue decline Urban Redevelopment Authority. IN a move to enhance the way private home prices here are tracked, the Urban Redevelopment Authority (URA) said it has revised its index methodology and expanded its data coverage to capture all private home transactions. HDB Resale Price Index (RPI) 4Q2018. This index can be used to compare the overall price movements of HDB resale flats. It is calculated using resale transactions registered across towns, flat types, and models. The base period is the 1 st quarter of 2009, i.e. RPI has a value of 100 in 1 st quarter 2009. For example, if the index increases Resale Price Index from 1st Quarter 1990 to 4th Quarter 2019 The HDB Resale Price Index tracks the overall price movement of the public residential market. The index is calculated using resale transactions registered across towns, flat types and models, with the first quarter of 2009 as the base period (i.e. index has value 100 in 1Q2009). Private properties prices vs rentals. Following the URA property price index’s (PPI) reversal from its downtrend in 3Q2017, private home prices has continued to gain momentum into 1Q2018. On the other hand, the private residential rental index fell 0.9% quarter-on-quarter (q-o-q) in 4Q2017, after a period of stabilisation in the previous quarter. Private Property Price Index by Type, Quarterly Urban Redevelopment Authority / 16 Mar 2020 The residential statistics were compiled from information in caveats lodged at the option stage with the Singapore Land Registry, supplemented with Stamp Duty data from the Inland Revenue Authority of Singapore, as well as data provided by developers for new sales. The index is based on quarterly average resale price by date of registration. The index till 3Q2014 was computed using stratification method, while that from 4Q2014 onwards is computed using the stratified hedonic regression method. 1Q2009 is adopted as the new base period with index at 100.
Property Data You can access comprehensive data on the Singapore property market here. Information such as property prices, rentals, vacancies, supply and stock of private residential and commercial properties are available. There were 3,666 resale transactions in 1st Quarter 2018, compared with the 4,226 units transacted in the previous quarter. Resale transactions accounted for 68.8% of all sale transactions in 1st Quarter 2018, compared with 68.1% in the previous quarter (see Annex D ). The Urban Redevelopment Authority (URA) has revised the methodology behind its private residential property price index (PPI), and expanded the data it covers as well. The revised approach addresses a major grouse with the earlier index by including sales data from stamp duty submissions to the tax authority.
The index is based on quarterly average resale price by date of registration. The index till 3Q2014 was computed using stratification method, while that from 4Q2014 onwards is computed using the stratified hedonic regression method. 1Q2009 is adopted as the new base period with index at 100. The index from 1Q1990 to 3Q2014 are rebased to the new base period at 1Q2009. Resale transacted prices for all flat types in each block All other related information to the block (EIP/SPR Quota, Upgrading Programmes and Distance Enquiry for CPF Housing Grant) The data is based on registered resale applications and is updated daily. The index is based on quarterly average resale price by date of registration. The index till 3Q2014 was computed using stratification method, while that from 4Q2014 onwards is computed using the stratified hedonic regression method. 1Q2009 is adopted as the new base period with index at 100.