New Zealand

The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.   Data cited at : https://www.bis.org/statistics/index.htm

The House Price Index (HPI) measures inflation in the residential property market. The HPI captures price changes of all kinds of residential property purchased by households (flats, detached houses, terraced houses, etc.), both new and existing. Only market prices are considered, self-build dwellings are therefore excluded. The land component of the residential property is included. These indices are the result of the work that National Statistical Institutes (NSIs) have been doing mostly within the framework of the Owner-Occupied Housing (OOH) pilot project coordinated by Eurostat. HPI is available for EU Member States, Iceland and Norway. In addition to the individual country series Eurostat produces indices for the euro area and for the EU. The national HPIs are produced by NSIs, while the European aggregates are computed by Eurostat, by aggregating the national indices. The data released quarterly on Eurostat's website include price indices themselves as well as their rates of change compared to the same quarter of the previous year. House Sales cover the total value of dwellings transactions at national level (both houses and flats) where the purchaser is a household. House Sales indicators complement the data on the HPI in order to offer a more comprehensive picture of the housing market. At this moment Eurostat is publishing the annual index for the value of housing transactions and the annual rate of change.

The House Price Index (HPI) measures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included.

Data cited at: Heritage Foundation   Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed

The 2022 IPRI classifies 129 countries, representing 93.91% of the world population and 97.73% of the global GDP. The selection of countries was determined solely by the availability of sufficient data. The results continue to suggest that countries with high scores on the IPRI and its components also show high levels of income and development, indicating the positive relationship between a property rights regime and quality of life. The average score of the IPRI for 2022 is  5.19, where the Legal and Political Environment (LP) was the weakest component with a score of 5.06, followed by the Intellectual Property Rights (IPR) component with a score of 5.24; and quite close, the Physical Property Rights (PPR) was the strongest component with a score of 5.27  For the fourth consecutive year, we found a decrease in the overall score of the IPRI and this year, also for all of its components. Finland leads the IPRI (8.17) as well as its PPR component (8.53), while New Zealand leads the LP (8.76) and the USA the IPR component (8.73). Singapore ranks 2nd in its IPRI score (7.97) followed by Switzerland (7.94) and New Zealand (7.93).  

Owners occupiers are those households that live in a dwelling (flat, house) that they own. Owner occupier's housing expenditures represent those expenditures incurred by owners occupiers when purchasing, maintaining and living in their own home. The Owner-Occupied Housing Price Index (OOHPI) measures the change over time in the transaction prices of dwellings that were purchased for own-use and the cost of all goods and services that households purchase in their role as owners occupiers of dwellings (see classification below). As the index is based on the net acquisitions approach, only purchased dwellings that are new to the household sector are covered, while transactions between households are excluded (see section 3.4 Statistical concepts and definitions) . These indices are the result of the work that National Statistical Institutes (NSIs) have been doing since 2001 within the framework of the Owner-Occupied Housing (OOH) pilot project coordinated by Eurostat. OOHPIs are available for 26 EU Member States, plus Iceland and Norway (published for 27 countries). The data that is released quarterly on Eurostat's website include price indices themselves as well as their rates of change compared to the previous quarter (Qt-1) and the same quarter of the previous year (Qt-4).

Owners occupiers are those households that live in a dwelling (flat, house) that they own. Owner occupier's housing expenditures represent those expenditures incurred by owners occupiers when purchasing, maintaining and living in their own home. The Owner-Occupied Housing Price Index (OOHPI) measures the change over time in the transaction prices of dwellings that were purchased for own-use and the cost of all goods and services that households purchase in their role as owners occupiers of dwellings (see classification below). As the index is based on the net acquisitions approach, only purchased dwellings that are new to the household sector are covered, while transactions between households are excluded (see section 3.4 Statistical concepts and definitions) . These indices are the result of the work that National Statistical Institutes (NSIs) have been doing since 2001 within the framework of the Owner-Occupied Housing (OOH) pilot project coordinated by Eurostat. OOHPIs are available for 26 EU Member States, plus Iceland and Norway (published for 27 countries). The data that is released quarterly on Eurostat's website include price indices themselves as well as their rates of change compared to the previous quarter (Qt-1) and the same quarter of the previous year (Qt-4).

Owners occupiers are those households that live in a dwelling (flat, house) that they own. Owner occupier's housing expenditures represent those expenditures incurred by owners occupiers when purchasing, maintaining and living in their own home. The Owner-Occupied Housing Price Index (OOHPI) measures the change over time in the transaction prices of dwellings that were purchased for own-use and the cost of all goods and services that households purchase in their role as owners occupiers of dwellings (see classification below). As the index is based on the net acquisitions approach, only purchased dwellings that are new to the household sector are covered, while transactions between households are excluded (see section 3.4 Statistical concepts and definitions) . These indices are the result of the work that National Statistical Institutes (NSIs) have been doing since 2001 within the framework of the Owner-Occupied Housing (OOH) pilot project coordinated by Eurostat. OOHPIs are available for 26 EU Member States, plus Iceland and Norway (published for 27 countries). The data that is released quarterly on Eurostat's website include price indices themselves as well as their rates of change compared to the previous quarter (Qt-1) and the same quarter of the previous year (Qt-4).

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

Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the price of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector. This dataset covers the 34 OECD member countries and some non-member countries. Please note that not all RPPIs are available for all countries. For instance, the RPPI at the most aggregate level for the United States only covers single-family dwellings, not all types of dwellings as it is the case for most other OECD countries. This dataset presents, for each country, the RPPI that is available at the most aggregate level. It mainly contains quarterly statistics. The dataset called “Residential Property Price Indices (RPPIs) – Complete dataset” contains the full list of available RPPIs. The dataset called “Analytical house price indicators” contains, in addition to nominal RPPIs, information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” do not refer to the same price indices for Brazil, Canada, China, Germany, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap.For all other countries, non-seasonally adjusted price indices in both datasets are identical on the overlapping period.