|Unit||Index Jan2009=100, SA|
|House Price Index||May 2019||172.6||173.4||Index Jan2009=100, SA||Monthly|
|House Price Index for Existing Homes||May 2019||142.2||142.4||Index Jan2009=100, SA||Monthly|
|Building Permits||Apr 2019||3,707||4,822||m², NSA||Monthly|
|Non-residential Building Permits||Apr 2019||4,269||3,179||#, NSA||Monthly|
Housing price indices are compiled by the Real Estate Market Research Department, Real Estate Information Center, and reported by the Bank of Thailand. They're based on the Government Housing Bank (GHB) appraisal database. GHB accounts for nearly 40% of total housing loans. The indices are limited in that GHB loans comprise mostly the low-to-medium end of the housing market, and are concentrated on the periphery of central Bangkok and vicinity.
This set of house price indices comprises 4 indictors as follow; single detached house with land, town house with land, condominium, and land. The indices were calculated from 17 commercial banks’ mortgage loan in Bangkok and vicinities (Bangkok, Samut Prakan, Nonthaburi, Pathum Thani, Nakhon Pathom and Samut Sakhon). Single detached house with land, town house with land and condominium price indices were compiled by using Rolling window and time dummy hedonic regressions method (3-month moving average), controlling 4 housing characteristics (age, storey, entrepreneur and distance to metropolitan transportation services such as the sky train, the underground and express way). Meanwhile, land price index has been constructed by Stratification method with monthly weight. (3-month moving average) See further details about definitions, data source, and methodology in the article “The Developing of Thailand Residential Property Price Index” (Thai version only) https://www.bot.or.th/Thai/Statistics/Articles/Doc_Lib_statisticsHorizon/RPPI.pdf
Revision is made when updated data become available.