Bank for International Settlements

Data cited at : https://www.bis.org/statistics/index.htm

Data cited at : https://www.bis.org/statistics/index.htm

The commercial property prices data set contains nominal commercial property prices for more than 20 countries at various frequencies and is updated monthly. The data differ significantly from country to country in terms of property type, covered area, compilation method and other factors. Commercial properties include properties rented out at market prices, built for future sale, or used for the production of market goods and services. The data set includes time series on price developments of commercial land, offices, retail premises and industrial properties.

Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm

The data set on credit to the non-financial sector captures borrowing activity by the government sector and the private non-financial sector in more than 40 economies. Quarterly data on credit to the government sector cover on average 20 years, while those on credit to the private non-financial sector on average more than 45 years. The statistics follow the framework of the System of National Accounts.   Data cited at: Bank for International Settlements (2024), Credit to the non-financial sector, BIS WS_TC 2.0 (data set), https://data.bis.org/topics/TOTAL_CREDIT/data.

The detailed residential property prices data set consists of more than 300 series from around 60 countries collected from national central banks. These data series differ significantly from country to country, varying in frequency, type of property and vintage, covered area, priced unit, compilation method or seasonal adjustment. The specificities of each country’s residential property markets and the absence of binding international standards for property price statistics could explain this variability. Beyond national-level indicators, for most countries the data set contains some subnational data. Subnational data in most cases show price developments in the capital or biggest city.

Data cited at : https://www.bis.org/statistics/index.htm   Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty

The property price statistics currently include data from 59 countries, and are available at different frequencies. The data differ significantly from country to country, for instance in terms of sources of information on prices, type of property, area covered, property vintage, priced unit, detailed compilation methods and seasonal adjustment. This reflects two facts. Firstly, that the processes associated with buying and selling a property and hence data available, vary between countries and secondly, that there are currently no specific international standards for property price statistics.   Data cited at : https://www.bis.org/statistics/index.htm