The average price of detached and duplex houses in the biggest cities in Germany varied between approximately 4,500 euros and 10,000 euros per square meter in 2024. Housing was most expensive in Munich, where the square meter price of houses amounted to 9,806 euros. Conversely, Berlin was most affordable, with the square meter price at 4,512 euros. How have German house prices evolved? House prices maintained an upward trend for more than a decade, with 2020 and 2021 experiencing exceptionally high growth rates. In 2021, the nominal year-on-year change exceeded 10 percent. Nevertheless, the second half of 2022 saw the market slowing, with the annual percentage change turning negative for the first time in 12 years. Another way to examine the price growth is through the house price index, which uses 2015 as a base. At its peak in 2022, the German house price index measured about 166 percent, which means that a house bought in 2015 would have appreciated by 66 percent. Is housing affordable in Germany? Housing affordability depends greatly on income: High-income areas often tend to have more expensive housing, which does not necessarily make them unaffordable. The house price to income index measures the development of the cost of housing relative to income. In the first quarter of 2024, the index value stood at 110, meaning that since 2015, house price growth has outpaced income growth by about 10 percent. Compared with the average for the euro area, this value was lower.

Mexico's housing market demonstrates significant regional price variations, with Mexico City emerging as the most expensive area for residential property in 2024. The capital city's average house price of 3.91 million Mexican pesos far exceeds the national average of 1.73 million pesos, highlighting the stark contrast in property values across the country. This disparity reflects broader economic and demographic trends shaping Mexico's real estate landscape. Sustained growth in housing prices The Mexican housing market has experienced substantial growth over the past decade, with home prices more than doubling since 2010. By the third quarter of 2023, the nominal house price index reached 255.54 points, representing a 146 percent increase from the baseline year. Even when adjusted for inflation, the real house price index showed a notable 40 percent growth, underscoring the market's resilience and attractiveness to investors. The mortgage market is dominated by three main player types: Infonavit, Fovissste, and commercial banks including Sofomes. In 2023, Infonavit, a scheme by Mexico's National Housing Fund Institute which provides lending to workers in the formal sector, was responsible for the majority of mortgages granted to individuals. Challenges in mortgage lending Despite the overall growth in housing prices, Mexico's mortgage market has faced challenges in recent years. The number of new mortgage loans granted has declined over the past decade, falling by approximately 200,000 loans between 2008 and 2023. This decrease in lending activity may be attributed to various factors, including economic uncertainties and changing consumer preferences. The state of Mexico, which is home to 13 percent of the country's population, likely plays a significant role in shaping these trends, given its large demographic influence on the national housing market.

Korea Median Housing Price: Total: 6 Large Cities: Daegu data was reported at 23,192.626 KRW tt in Jun 2018. This records an increase from the previous number of 23,160.785 KRW tt for May 2018. Korea Median Housing Price: Total: 6 Large Cities: Daegu data is updated monthly, averaging 22,210.310 KRW tt from Apr 2013 (Median) to Jun 2018, with 63 observations. The data reached an all-time high of 23,518.126 KRW tt in Jan 2016 and a record low of 15,455.327 KRW tt in Apr 2013. Korea Median Housing Price: Total: 6 Large Cities: Daegu data remains active status in CEIC and is reported by Kookmin Bank. The data is categorized under Global Database’s Korea – Table KR.EB033: Median Housing Price: Kookmin Bank.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Housing in U.S. City Average (CPIHOSNS) from Jan 1967 to Feb 2025 about urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

VITAL SIGNS INDICATOR Home Prices (EC7)

FULL MEASURE NAME Home Prices

LAST UPDATED August 2019

DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

Korea Median Housing Price: Apartments: 6 Large Cities: Gwangju data was reported at 18,270.274 KRW tt in Nov 2018. This records an increase from the previous number of 18,174.950 KRW tt for Oct 2018. Korea Median Housing Price: Apartments: 6 Large Cities: Gwangju data is updated monthly, averaging 16,028.350 KRW tt from Apr 2013 (Median) to Nov 2018, with 68 observations. The data reached an all-time high of 18,270.274 KRW tt in Nov 2018 and a record low of 12,602.957 KRW tt in May 2013. Korea Median Housing Price: Apartments: 6 Large Cities: Gwangju data remains active status in CEIC and is reported by Kookmin Bank. The data is categorized under Global Database’s South Korea – Table KR.EB033: Median Housing Price: Kookmin Bank.

Korea Median Housing Price: Apartments: 6 Large Cities: Busan data was reported at 26,759.791 KRW tt in Nov 2018. This records a decrease from the previous number of 26,982.284 KRW tt for Oct 2018. Korea Median Housing Price: Apartments: 6 Large Cities: Busan data is updated monthly, averaging 23,800.613 KRW tt from Apr 2013 (Median) to Nov 2018, with 68 observations. The data reached an all-time high of 28,056.103 KRW tt in Sep 2017 and a record low of 19,604.641 KRW tt in Aug 2013. Korea Median Housing Price: Apartments: 6 Large Cities: Busan data remains active status in CEIC and is reported by Kookmin Bank. The data is categorized under Global Database’s South Korea – Table KR.EB033: Median Housing Price: Kookmin Bank.

Geneva, Switzerland, was the most expensive city to buy an apartment in Europe in the first quarter of 2024. The square meter price in Geneva was nearly 15,650 euros in that quarter, about 2,000 euros higher than the second city in the ranking, Zurich. Cost of rent Rents across the major cities in Europe increased significantly in 2023. One of the main factors driving high rents across European cities is the same as any other consumer-driven business. If demand outweighs supply, prices will inflate. The drive for high paid professionals to be located centrally in prime locations, mixed with the low levels of available space, high land, and construction costs, all help keep rental prices increasing. Mortgage rates The average mortgage interest rates across Europe in 2023 were all under five percent, except in Czechia, Romania, Hungary, and Poland. On an individual level, a difference of one percent would most likely mean thousands of euros in interest on the mortgage a person is paying, making timing key in house purchasing. Mortgage interest rates tend to be lower in Nordic countries due to the financial stability and reliability of its borrowers. Other factors that influence the mortgage interest rates include inflation, economic growth, monetary policies, the bond market and the overall conditions of the housing market. More stable markets also tend to have higher average prices.

Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Feb 2025 about median and USA.

Spain Avg Housing Price: Free Market: Girona data was reported at 1,528.800 EUR/sq m in Sep 2018. This records an increase from the previous number of 1,521.000 EUR/sq m for Jun 2018. Spain Avg Housing Price: Free Market: Girona data is updated quarterly, averaging 1,954.000 EUR/sq m from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 2,828.700 EUR/sq m in Mar 2007 and a record low of 1,356.800 EUR/sq m in Jun 2016. Spain Avg Housing Price: Free Market: Girona data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

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Myanmar Residential Real Estate Market Size 2025-2029

The residential real estate market in Myanmar size is forecast to increase by USD 233.2 million at a CAGR of 4.7% between 2024 and 2029.

The market is experiencing significant growth, particularly in emerging markets such as Myanmar, driven by the expanding residential sector. The integration of technology in property management, including the use of smart sensors and automation, is a key trend transforming the industry. However, regulatory uncertainty remains a challenge, necessitating close monitoring of changes and their potential impact on the market.


In the construction sector, the adoption of concrete watch technology is gaining traction, enhancing the durability and quality of buildings. Real Estate Investment Trusts (REITs) continue to be a significant player In the market, offering investors stable returns. Overall, the market is poised for growth, with technology and regulatory factors shaping its trajectory.

What will be the Size of the market During the Forecast Period?

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The market continues to evolve, shaped by various factors influencing urban areas worldwide. Essential services and infrastructure, including transportation systems and functional infrastructure, remain crucial elements driving demand for urban living. Urban sustainability and the development of new metropolises and cities are gaining momentum, with a focus on tall structures and affordable housing solutions. Economic growth and living levels are key factors influencing the market's size and direction. Despite the overall positive trend, economic headwinds and poor management in some areas can lead to imbalances In the demand-supply equation. First-time buyers face challenges in securing real estate loans due to rising mortgage rates and transactional taxes.


Central banks and governments implement measures to stabilize the market, including adjusting mortgage interest rates and promoting inexpensive housing schemes. The industrial regions' growth and the establishment of new urban areas contribute to increasing transaction volumes, with a growing emphasis on urban planning and efficient decision-making processes. However, the market's dynamics are complex, with various factors influencing property values and the homeownership rate. Informal settlements and poor management in some areas can hinder the market's growth and stability.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Landed houses and villas
  Apartments and condominiums


Mode Of Booking

  Sales
  Rental/Lease


Geography

  Myanmar

By Type Insights

The landed houses and villas segment is estimated to witness significant growth during the forecast period.

The market is primarily driven by the demand for landed houses and villas. These properties, which accounted for the largest market share in 2024, offer a unique blend of community and privacy. Villas, specifically, are standalone houses with a veranda or yard, typically located in exclusive areas. They provide a sense of community while maintaining privacy, distinguishing them from flats. In contrast, landed houses are stand-alone dwellings that can be constructed on any type of land. Property tax implications, investor confidence, and housing affordability significantly impact the market. Property value fluctuations, home sellers, and housing supply also play crucial roles.

Urban planning strategies, such as sustainable housing development and urban regeneration, are essential to address affordability and urban mobility concerns. Real estate investment trends, including home renovation, property management services, and data analysis, are shaping the market. Smart home technology and urban design are also influencing housing demand. City branding, competitiveness, and resilience are key factors in urban development and planning. Infrastructure development, sustainable urbanism, and economic diversification are essential for creating smart cities and addressing urban sprawl.

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Market Dynamics

Our Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in the adoption of the Myanmar Residential Real Estate Market?

The growing residential sector in Myanmar is the key driver of the market. The market experiences continuous growth due to the increasing construction of various typ

The year-end value of the S&P Case Shiller National Home Price Index amounted to 310.76 in December 2023. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

VITAL SIGNS INDICATOR
Home Prices (EC7)

FULL MEASURE NAME
Home Prices

LAST UPDATED
December 2022

DESCRIPTION
Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE
Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
2000-2021

California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
2000-2021

US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2000-2021

Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
2000-2021

US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
2020 Census Blocks

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

Spain Avg Housing Price: Free Market: Valencia data was reported at 1,235.600 EUR/sq m in Mar 2018. This records an increase from the previous number of 1,183.800 EUR/sq m for Dec 2017. Spain Avg Housing Price: Free Market: Valencia data is updated quarterly, averaging 1,653.600 EUR/sq m from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 2,475.600 EUR/sq m in Mar 2008 and a record low of 1,099.000 EUR/sq m in Jun 2017. Spain Avg Housing Price: Free Market: Valencia data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

Spain Avg Housing Price: Free Market: Alicante data was reported at 1,064.600 EUR/sq m in Sep 2018. This records a decrease from the previous number of 1,150.400 EUR/sq m for Jun 2018. Spain Avg Housing Price: Free Market: Alicante data is updated quarterly, averaging 1,258.600 EUR/sq m from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 2,002.900 EUR/sq m in Mar 2008 and a record low of 1,037.200 EUR/sq m in Jun 2017. Spain Avg Housing Price: Free Market: Alicante data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

Spain Avg Housing Price: Free Market: More than 5 Years Old: Castellon de la Plana data was reported at 897.400 EUR/sq m in Mar 2018. This records an increase from the previous number of 865.300 EUR/sq m for Dec 2017. Spain Avg Housing Price: Free Market: More than 5 Years Old: Castellon de la Plana data is updated quarterly, averaging 956.500 EUR/sq m from Mar 2010 (Median) to Mar 2018, with 33 observations. The data reached an all-time high of 1,561.800 EUR/sq m in Dec 2010 and a record low of 799.700 EUR/sq m in Jun 2017. Spain Avg Housing Price: Free Market: More than 5 Years Old: Castellon de la Plana data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

Spain Avg Housing Price: Free Market: Madrid data was reported at 2,924.400 EUR/sq m in Mar 2018. This records an increase from the previous number of 2,861.500 EUR/sq m for Dec 2017. Spain Avg Housing Price: Free Market: Madrid data is updated quarterly, averaging 2,886.800 EUR/sq m from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 3,889.800 EUR/sq m in Mar 2007 and a record low of 2,372.000 EUR/sq m in Sep 2014. Spain Avg Housing Price: Free Market: Madrid data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

Spain Avg Housing Price: Free Market: Huelva data was reported at 958.100 EUR/sq m in Mar 2018. This records a decrease from the previous number of 1,017.900 EUR/sq m for Dec 2017. Spain Avg Housing Price: Free Market: Huelva data is updated quarterly, averaging 1,429.700 EUR/sq m from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 1,874.800 EUR/sq m in Jun 2008 and a record low of 917.900 EUR/sq m in Dec 2016. Spain Avg Housing Price: Free Market: Huelva data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

Spain Avg Housing Price: Free Market: More than 5 Years Old: Teruel data was reported at 1,022.000 EUR/sq m in Mar 2018. This records an increase from the previous number of 984.600 EUR/sq m for Dec 2017. Spain Avg Housing Price: Free Market: More than 5 Years Old: Teruel data is updated quarterly, averaging 1,022.000 EUR/sq m from Mar 2010 (Median) to Mar 2018, with 31 observations. The data reached an all-time high of 1,548.400 EUR/sq m in Mar 2010 and a record low of 880.500 EUR/sq m in Mar 2017. Spain Avg Housing Price: Free Market: More than 5 Years Old: Teruel data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.