The average number of rooms per person for houses and flats in Europe in 2023 varied in different countries. Among the countries with the most rooms per person were Luxembourg, Malta, and Belgium.

Taiwan Housing: Average Living Space per Person data was reported at 14.440 Ping in 2016. This records an increase from the previous number of 14.190 Ping for 2015. Taiwan Housing: Average Living Space per Person data is updated yearly, averaging 9.710 Ping from Dec 1976 (Median) to 2016, with 41 observations. The data reached an all-time high of 14.440 Ping in 2016 and a record low of 4.380 Ping in 1976. Taiwan Housing: Average Living Space per Person data remains active status in CEIC and is reported by Construction and Planning Agency, Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.EB012: Housing Dwelling Level (Annual).

The average usable floor space in dwellings per person in Poland increased in the observed period, reaching over ** square meters in 2024.

Taiwan Housing: Average Living Space per Person: TA: Taoyuan County data was reported at 35.300 sq m in 2010. This records a decrease from the previous number of 36.100 sq m for 2000. Taiwan Housing: Average Living Space per Person: TA: Taoyuan County data is updated yearly, averaging 35.300 sq m from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 36.100 sq m in 2000 and a record low of 26.150 sq m in 1990. Taiwan Housing: Average Living Space per Person: TA: Taoyuan County data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

This statistic presents the average floor space of residential properties on selected European house markets as of 2014, by country. In that year, the average British house (85 square meters) was reported to be bigger than a Greek one (77 square meters) but smaller than a Dutch one (98 square meters).

Housing: Average Living Space per Person: Taiwan Area (TA) data was reported at 33.100 sq m in 2010. This records an increase from the previous number of 31.700 sq m for 2000. Housing: Average Living Space per Person: Taiwan Area (TA) data is updated yearly, averaging 31.700 sq m from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 33.100 sq m in 2010 and a record low of 23.950 sq m in 1990. Housing: Average Living Space per Person: Taiwan Area (TA) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

Taiwan Housing: Average Living Space per Person: Taipei City data was reported at 10.200 Ping in 2015. This stayed constant from the previous number of 10.200 Ping for 2014. Taiwan Housing: Average Living Space per Person: Taipei City data is updated yearly, averaging 9.480 Ping from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 10.200 Ping in 2015 and a record low of 8.500 Ping in 1998. Taiwan Housing: Average Living Space per Person: Taipei City data remains active status in CEIC and is reported by Construction and Planning Agency, Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.EB012: Housing Dwelling Level (Annual).

Taiwan Housing: Average Living Space per Person: TA: Hsinchu County data was reported at 37.200 sq m in 2010. This records an increase from the previous number of 35.300 sq m for 2000. Taiwan Housing: Average Living Space per Person: TA: Hsinchu County data is updated yearly, averaging 35.300 sq m from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 37.200 sq m in 2010 and a record low of 26.760 sq m in 1990. Taiwan Housing: Average Living Space per Person: TA: Hsinchu County data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

Taiwan Housing: Average Living Space per Person: FP: Kinmen County data was reported at 36.800 sq m in 2010. This records a decrease from the previous number of 44.700 sq m for 2000. Taiwan Housing: Average Living Space per Person: FP: Kinmen County data is updated yearly, averaging 40.750 sq m from Dec 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 44.700 sq m in 2000 and a record low of 36.800 sq m in 2010. Taiwan Housing: Average Living Space per Person: FP: Kinmen County data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

China Floor Area of Residential Building per Capita: Urban data was reported at 38.600 sq m in 2020. This records a decrease from the previous number of 39.800 sq m for 2019. China Floor Area of Residential Building per Capita: Urban data is updated yearly, averaging 18.220 sq m from Dec 1956 (Median) to 2020, with 42 observations. The data reached an all-time high of 39.800 sq m in 2019 and a record low of 5.700 sq m in 1956. China Floor Area of Residential Building per Capita: Urban data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Residential Area per Capita.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

Data Source: This dataset was compiled from multiple data sources

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Taiwan Housing: Average Living Space per Person: FP: Lienchiang County data was reported at 32.900 sq m in 2010. This records an increase from the previous number of 28.600 sq m for 2000. Taiwan Housing: Average Living Space per Person: FP: Lienchiang County data is updated yearly, averaging 30.750 sq m from Dec 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 32.900 sq m in 2010 and a record low of 28.600 sq m in 2000. Taiwan Housing: Average Living Space per Person: FP: Lienchiang County data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

In the presented European countries, the homeownership rate extended from 42.6 percent in Switzerland to as much as 95.9 percent in Albania. Countries with more mature rental markets, such as France, Germany, the UK, and Switzerland, tended to have a lower homeownership rate compared to the frontier countries, such as Lithuania or Slovakia. The share of house owners among the population of all 20 euro area countries stood at 64.5 percent in 2024. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2024, the average transaction price for a house was notably higher in Western and Northern Europe than in Eastern and Southern Europe. In Austria, one of the most expensive European countries to buy a new dwelling in, the average price was three times higher than in Greece. Looking at house price growth, however, the most expensive markets recorded slower house price growth compared to the mid-priced markets. Housing supply With population numbers rising across Europe, the need for affordable housing continues. In 2024, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible for heading the ranking. One of the major challenges for supplying the market with more affordable homes is the rising construction costs. In 2021 and 2022, housing construction costs escalated dramatically due to soaring inflation, which has had a significant effect on new supply.

There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

Title: Location Affordability Index - NMCDC Copy

Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

UID: 73

Data Requested: Family income spent on basic need

Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

Date Acquired: Map copied on May 10, 2022

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

Taiwan Housing: Average Living Space per Person: TA: Kaohsiung City data was reported at 34.500 sq m in 2010. Taiwan Housing: Average Living Space per Person: TA: Kaohsiung City data is updated yearly, averaging 34.500 sq m from Dec 2010 (Median) to 2010, with 1 observations. Taiwan Housing: Average Living Space per Person: TA: Kaohsiung City data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2024, at 92,341 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 41,603 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 210,780 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

Taiwan Housing: Average Living Space per Person: TA: Yilan County data was reported at 38.600 sq m in 2010. This records an increase from the previous number of 35.200 sq m for 2000. Taiwan Housing: Average Living Space per Person: TA: Yilan County data is updated yearly, averaging 35.200 sq m from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 38.600 sq m in 2010 and a record low of 23.670 sq m in 1990. Taiwan Housing: Average Living Space per Person: TA: Yilan County data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.

Taiwan Housing: Average Living Space per Person: TP: Yunlin County data was reported at 16.760 Ping in 2015. This records a decrease from the previous number of 16.930 Ping for 2014. Taiwan Housing: Average Living Space per Person: TP: Yunlin County data is updated yearly, averaging 14.735 Ping from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 16.930 Ping in 2014 and a record low of 11.960 Ping in 1999. Taiwan Housing: Average Living Space per Person: TP: Yunlin County data remains active status in CEIC and is reported by Construction and Planning Agency, Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.EB012: Housing Dwelling Level (Annual).

Taiwan Housing: Average Living Space per Person: TA: New Taipei City data was reported at 27.100 sq m in 2010. This records an increase from the previous number of 26.800 sq m for 2000. Taiwan Housing: Average Living Space per Person: TA: New Taipei City data is updated yearly, averaging 26.800 sq m from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 27.100 sq m in 2010 and a record low of 22.550 sq m in 1990. Taiwan Housing: Average Living Space per Person: TA: New Taipei City data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.EB013: Housing Dwelling Level: Population and Housing Census.