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TwitterIn 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes: Residential Real Estate Sales Mortgage Foreclosures Residential Vacancy Parcel Year Built Parcel Condition Building Violations Owner Occupancy Subsidized Housing Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. Please refer to the presentation and executive summary for more information about the data, methodology, and findings.
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TwitterIn the second quarter of 2025, the real estate index in Poland amounted to ***** points, which was an improvement of **** points compared to the first quarter of 2025.
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Key information about House Prices Growth
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TwitterThe number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.
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TwitterReal estate ads in Russia are published on the websites avito.ru, realty.yandex.ru, cian.ru, sob.ru, youla.ru, n1.ru, moyareklama.ru. The ads-api.ru service allows you to upload real estate ads for a fee. The parser of the service works strangely and duplicates real estate ads in the database if the authors extended them after some time. Also in the Russian market there are a lot of outbids (bad realtors) who steal ads and publish them on their own behalf. Before publishing this dataset, my task was to select the original ad from a bunch of ads. Russian real estate services allow ad authors to manually write data about an apartment or house. Therefore, it often happens that a user can publish an ad with errors or typos. Also, the user may not know, for example, the type of walls near his house. The user also specifies the address of the object being sold. He may make a mistake and simply indicate the address, for example, "Moscow". Which street? Which house? We will never know.
The real estate market in Russia is of two types, in the dataset it is used as object type 0 - Secondary real estate market; 2 - New building. I found it necessary to determine the geolocation for each ad address and add the coordinates to this dataset. Also there is a number of the region of Russia. For example, the number of the Chuvash region is 21. Additionally, there is a house number that is synchronized through the federal public database of the Federal Tax Service "FIAS". Since the data is obtained through a paid third party service, I cannot publish the results, however, I can anonymize them and publish parameters such as Street ID and House ID. Basically, all houses are built from blocks such as brick, wood, panel and others. I marked them with numbers: building type - 0 - Don't know. 1 - Other. 2 - panel. 3 - Monolithic. 4 - Brick. 5 - blocky. 6- Wooden
The number of rooms can also be as 1, 2 or more. However, there is a type of apartment that is called a studio apartment. I've labeled them "-1".
I hope that the publication of this dataset will improve developments in the field of global real estate. You can create apartment price forecasts. You can analyze real estate markets. You can understand that there is a need to publish free real estate datasets. And much more
The license for this dataset is public, you can use it in your scientific research, design work and other works. The only condition is the publication of a link to this dataset. You can send suggestions (or complaints) on the dataset by mail daniilakk@gmail.com
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TwitterIn the first nine months of 2021, based on sales revenue, the top 10 leading real estate companies in China had a market share of almost ** percent. The leading 200 companies together occupied **** percent of the real estate market, which showed that the market was very fragmented with many smaller companies.
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TwitterThe Spain residential real estate market size was USD 145.18 Billion in 2022 and is likely to reach USD 264.67 Billion by 2031, expanding at a CAGR of 6.9% during 2023–2031. The growth of the market is attributed to the increase in construction as well as population.
Spain’s real estate market is posting a positive trend, especially in terms of demand. The revival in house sales was high in 2021. For instance, 468,000 transactions were completed by October 2021, a growth of 35.9% compared to 2020 and up by 8.3% on 2019. The activity in the residential sector was highest since 2008. A large part of this revival in demand has come from a reduction in pent-up demand and the forced savings accumulated during the months of lockdown and severely restricted travel, combined with highly favorable financing conditions, which make it more attractive to buy and invest in real estate assets. The residential sector is therefore on track to close 2021 with 545,000 sales in the year as a whole.
Before the pandemic began, the residential real estate market in Spain was growing at a healthy pace, which was then dented by Covid-19 as the construction of housing units came down. However, in 2021, the market was back on track with increase in construction.
As per the latest data from the Appraisal Society, it indicates that the price of new housing has remained stable, in a context of increased sales and improvement in economic indicators. The average price of new homes has grown 0.4% in Spain over the last 12 months to Euro 2,482 (approximately USD 2812) per square meter. This slight increase has been generalized and has been registered in 16 of the 17 autonomous communities.
The economic consequences of the Covid crisis made a dent in the real estate market, and has reflected in the 16.7% collapse of sales in Spain in 2020 to 419,898 transactions. As a result, experimental ways of life are introduced into the real estate market to compensate for the lack of social interaction between people.
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TwitterThe House Price Index (HPI) measures inflation in the residential property market. The HPI captures price changes of all types of dwellings purchased by households (flats, detached houses, terraced houses, etc.). Only transacted dwellings are considered, self-build dwellings are excluded. The land component of the dwelling is included.
The HPI is available for all European Union Member States (except Greece), the United Kingdom (only until the third quarter of 2020), Iceland, Norway, Switzerland and Turkey. In addition to the individual country series, Eurostat produces indices for the euro area and for the European Union (EU). As from the first quarter of 2020 onwards, the EU HPI aggregate no longer includes the HPI from the United Kingdom.
The national HPIs are produced by National Statistical Offices (NSIs) and the European aggregates by Eurostat, by combining the national indices. The data released quarterly on Eurostat's website include the national and European price indices, weights and their rates of change.
In order to provide a more comprehensive picture of the housing market, house sales indicators are also provided. Available house sales indicators refer to the total number and value of dwellings transactions at national level where the purchaser is a household. Eurostat publishes in its database a quarterly and annual house sales index as well as quarterly and annual rates of change.
The HPI is based on market prices of dwellings. Non-marketed prices are ruled out from the scope of this indicator. Self-build dwellings, dwellings purchased by sitting tenants at discount prices or dwellings transacted between family members are out of the scope of the indicator. It covers all monetary dwelling transactions regardless of its type (e.g., carried out through a cash purchase or financed through a mortgage loan).
The HPI measures the price developments of all dwellings purchased by households, regardless of which institutional sector they were bought from and the purpose of the purchase. As such, a dwelling bought by a household for a purpose other than owner-occupancy (e.g., for being rented out) is within the scope of the indicator. The HPI includes all purchases of new and existing dwellings, including those of dwellings transacted between households.
The number and value of house sales cover the total annual value of dwellings transactions at national level where the purchaser is a household. Transactions between households are included. Transfers in dwellings due to donations and inheritances are excluded.
The house sales value reflect the prices paid by household buyers and include both the price of land and the price of the structure of the dwelling. The prices for new dwellings include VAT. Other costs related to the acquisition of the dwelling (e.g., notary fees, registration fees, real estate agency commission, bank fees) are excluded.
Each published index or rate of change refers to transacted dwellings purchased at market prices by the household sector in the corresponding geographical entity. All transacted dwellings are covered, regardless of which institutional sector they were bought from and of the purchase purpose.
more: https://ec.europa.eu/eurostat/cache/metadata/en/prc_hpi_inx_esms.htm
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TwitterThe period from 2001 to 2021 was marked by significant ups and downs in the USA real estate market, reflecting broader economic trends and societal shifts. While the market has shown resilience and adaptability over time, ongoing challenges and uncertainties underscore the importance of careful monitoring and thoughtful policy responses to ensure a stable and inclusive housing market in the years to come.
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Housing Index in Sweden increased to 959 points in the third quarter of 2025 from 945 points in the second quarter of 2025. This dataset provides - Sweden House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterThis residential real estate data set was created by Redfin, an online real estate brokerage. Published on January 9th, 2022, this data summarize the monthly housing market for every State, Metro, and Zip code in the US from 2012 to 2021. Redfin aggregated this data across multiple listing services and has been gracious enough to include property type in their reporting. Please properly cite and link to RedFin if you end up using this data for your research or project.
Source: RedFin Data Center
Property type defined by RedFin
Source: Building Types
For more definitions, please visit RedFin Data Center Metrics
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TwitterThe U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.
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A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.
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Real Estate Market Size 2025-2029
The real estate market size is valued to increase USD 1258.6 billion, at a CAGR of 5.6% from 2024 to 2029. Growing aggregate private investment will drive the real estate market.
Major Market Trends & Insights
APAC dominated the market and accounted for a 64% growth during the forecast period.
By Type - Residential segment was valued at USD 1440.30 billion in 2023
By Business Segment - Rental segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 48.03 billion
Market Future Opportunities: USD 1258.60 billion
CAGR from 2024 to 2029 : 5.6%
Market Summary
In the dynamic realm of global real estate, private investment continues to surge, reaching an impressive USD 2.6 trillion in 2020. This significant influx of capital underscores the sector's enduring appeal to investors, driven by factors such as stable returns, inflation hedging, and the ongoing demand for shelter and commercial real estate space. Simultaneously, marketing initiatives have gained momentum, with digital platforms and virtual tours becoming increasingly popular.
However, regulatory uncertainty looms, posing challenges for market participants. Amidst this complex landscape, real estate remains a vital component of the global economy, continually evolving to meet the shifting needs of businesses and individuals alike.
What will be the Size of the Real Estate Market during the forecast period?
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How is the Real Estate Market Segmented ?
The real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Residential
Commercial
Industrial
Business Segment
Rental
Sales
Manufacturing Type
New construction
Renovation and redevelopment
Land development
Geography
North America
US
Canada
Europe
Germany
UK
APAC
Australia
China
India
Japan
South Korea
South America
Brazil
Rest of World (ROW)
By Type Insights
The residential segment is estimated to witness significant growth during the forecast period.
Amidst the dynamic real estate landscape, the residential sector encompasses the buying and selling of various dwelling types, including single-family homes, apartments, townhouses, and more. This segment experiences continuous growth, fueled by increasing millennial homeownership rates and urbanization trends. Notably, the APAC region, specifically China, dominates the market share, driven by escalating homeownership numbers. Concurrently, the Indian real estate sector thrives due to the demand for affordable housing, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects. In this evolving market, various aspects such as environmental impact studies, capital appreciation potential, title insurance coverage, building lifecycle costs, mortgage interest rates, and structural engineering analysis play crucial roles.
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The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.
Property tax appeals, property insurance premiums, property tax assessments, property marketing strategies, building material pricing, property management software, land surveying techniques, zoning regulations compliance, architectural design features, building code compliance, multifamily property management, rental yield calculations, construction cost estimation, energy efficiency ratings, green building certifications, tenant screening processes, investment property returns, property development plans, geotechnical site investigations, sustainable building practices, due diligence procedures, HVAC system efficiency, property renovation costs, market value appraisals, building permit acquisition, and property valuation models significantly impact the sector's progression. As of 2021, the market is projected to reach a value of USD 33.3 trillion, underscoring its substantial influence on the global economy.
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Regional Analysis
APAC is estimated to contribute 64% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
See How Real Estate Market Demand is Rising in APAC Request Free Sample
The APAC region held the largest share of the market in 2024, driven by factors such as rapid urbanization and increasing spending capacity. This trend is expected to continue during the forecast period. The overall health of the economy signi
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Real Estate Market size was valued at USD 3.69 Billion in 2021 and is poised to grow from USD 3.88 Billion in 2022 to USD 5.82 Billion by 2030, at a CAGR of 5.20 % during the forecast period (2023-2030).
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House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.
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According to Cognitive Market Research, the global Real Estate Sector market size was USD 3625.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 1450.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1087.65 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 833.87 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 181.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.51 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
The Commercial real estate is the fastest-growing segment, driven by economic development, urbanization, and a shift toward modern, multi-use spaces
Market Dynamics of Real Estate Sector Market
Key Drivers Real Estate Sector Market
Urbanization and Population Growth Fueling Demand: The increase in urban migration is driving the need for residential, commercial, and industrial properties. The development of megacities, improved infrastructure, and rising disposable incomes are contributing to the growth of the real estate sector. For instance, the Reserve Bank of India’s low interest rates in 2021 significantly boosted housing demand by 35–40% during the festive period.
Economic Growth and Rising Incomes Facilitating Market Expansion: A robust economy and increasing income levels are allowing for more substantial investments in real estate. The development of infrastructure, enhanced investor confidence, and capital inflows are further driving demand across the residential, commercial, and industrial property sectors.
Key Restraint Real Estate Sector Market
High Construction Costs Impeding Market Growth: The escalating costs of raw materials and labor shortages are raising project expenses and causing delays. Global supply chain disruptions and inflation are also impacting profit margins and making housing less affordable, which in turn is hindering real estate activity.
Key Trends for Real Estate Sector Market
Smart Cities and Sustainable Infrastructure Development: Governments and developers are focusing on smart city initiatives that include green buildings, energy-efficient designs, and technology-integrated infrastructure, thereby improving livability and long-term value in urban real estate markets.
Increasing Demand for Mixed-Use Developments: There is a growing consumer preference for integrated spaces that combine residential, retail, and office units. This trend is transforming urban planning and generating demand for multi-functional real estate projects that cater to convenience and contemporary lifestyles.
Impact of Covid-19 on the Real Estate Sector Market
Covid-19 pandemic significantly impacted the real estate sector, leading to shifts in both demand and operational dynamics. During the early phases of the pandemic, lockdowns and economic uncertainties caused a slowdown in construction activities, delays in project completions, and a decline in property transactions. The residential market experienced a surge in demand for larger homes and properties in suburban areas as people sought more space due to remote work trends. On the other hand, the commercial real estate market, especially office spaces, faced challenges with businesses adopting remote work models, resulting in a reduced demand for office buildings. Introduction of the Real Estate Sector Market
The real estate sector encompasses the development, buying, selling, leasing, and management of land, residential, commercial, and industrial properties. It is a dynamic market driven by a complex mix of factors, including economic conditions, urbanization, demographic shifts, and government policies. Market growth in the real estate sector is primarily influenced by factors such as population growth, increasing urbanization...
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The Egypt residential real estate market exhibits robust growth potential, with a market size of $20.02 billion in 2025 and a projected Compound Annual Growth Rate (CAGR) of 10.96% from 2025 to 2033. This expansion is driven by several factors. A burgeoning population, particularly a growing middle class, fuels increased demand for housing. Furthermore, government initiatives aimed at infrastructure development and affordable housing projects are stimulating market activity. Tourism's resurgence contributes positively, boosting demand for vacation homes and investment properties. The market is segmented by property type, with apartments and condominiums representing a significant portion, followed by villas and landed houses catering to higher-income segments. Leading developers such as Orascom Development Egypt, Ora Developers, and Emaar Misr are key players shaping the market landscape, contributing significantly to new construction and overall supply. While challenges such as fluctuating economic conditions and inflation exist, the long-term outlook remains optimistic given the sustained population growth and the government's focus on infrastructural improvements and housing provision. The market's segmentation allows for targeted investment strategies depending on risk tolerance and return expectations. The forecast period (2025-2033) promises continued growth, although the rate might fluctuate based on global economic trends and domestic policies. Competition amongst developers is intense, driving innovation in design, amenities, and sustainable practices. The market is ripe for investment, offering diverse opportunities across various segments and price points. However, a comprehensive risk assessment is crucial given macroeconomic factors and regulatory changes. The focus on sustainable and smart housing solutions, coupled with the growing preference for technologically advanced amenities within residential complexes, represents a significant ongoing trend. The next decade will likely witness considerable transformation within the Egyptian residential real estate market, driven by a combination of technological innovation, economic development, and evolving consumer preferences. Recent developments include: November 2022: Wadi Degla Developments, an Egyptian developer, launched the Club Town new residential project in New Degla, Maadi, South Cairo, for EGP 1.5 billion (USD 61 million). The three-phase project spans 70 acres and includes 550 residential units and a commercial area. Breeze, part of Club Town's Phase I, is expected to be delivered between 2024 and 2026, according to the statement. Between 2022 and 2023, the developer intended to complete more than 1,500 units., October 2022: SODIC, the parent company of Orascom Development Egypt, offered to buy Orascom Real Estate for USD 125 million. In 2021, Abu Dhabi's Aldar Properties and state holding company ADQ purchased a controlling stake in SODIC. The purchase of Orascom Real Estate was expected to further expand their Egyptian real estate business. The offer came as Egypt sought billions of dollars in Gulf investment as it grappled with the financial consequences of the Ukraine conflict, such as rising commodity prices.. Key drivers for this market are: Increasing Private Investment in Real Estate Sector, Growth in the Luxury Housing Market. Potential restraints include: Increasing Private Investment in Real Estate Sector, Growth in the Luxury Housing Market. Notable trends are: Increasing Private Investment in Real Estate Sector Driving the Market.
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Booming North American industrial real estate market analysis reveals a CAGR exceeding 4.50%, driven by e-commerce, nearshoring, and manufacturing growth. Discover key trends, market size projections to 2033, top players, and regional insights. Invest wisely in this lucrative sector. Recent developments include: December 2021: Boston Properties Inc. (the largest publicly traded developer, owner, and manager of Class A office properties) announced that it completed the acquisition of 360 Park Avenue South, a 450,000 square-foot, 20-story office property located in the Midtown South submarket of Manhattan, New York, from Enterprise Asset Management Inc. (an investment management firm). Furthermore, the gross purchase value accounted for approximately USD 300 million., December 2021: Boston Properties Inc. announced a joint venture in which the company has a 49% ownership and executed a 229,000 square foot lease with a leading biotech company at the venture's 751 Gateway project in South San Francisco, California. The lease covers the entire building, which is currently under construction, with initial occupancy expected in early 2024.. Notable trends are: Increasing Rental Prices of Office Spaces.
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TwitterThe UK House Price Index is a National Statistic.
Download the full UK House Price Index data below, or use our tool to https://landregistry.data.gov.uk/app/ukhpi?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=tool&utm_term=9.30_16_02_22" class="govuk-link">create your own bespoke reports.
Datasets are available as CSV files. Find out about republishing and making use of the data.
Google Chrome is blocking downloads of our UK HPI data files (Chrome 88 onwards). Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.
This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.
Download the full UK HPI background file:
If you are interested in a specific attribute, we have separated them into these CSV files:
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Average-prices-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=average_price&utm_term=9.30_16_02_22" class="govuk-link">Average price (CSV, 9.3MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Average-prices-Property-Type-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=average_price_property_price&utm_term=9.30_16_02_22" class="govuk-link">Average price by property type (CSV, 28.1MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Sales-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=sales&utm_term=9.30_16_02_22" class="govuk-link">Sales (CSV, 4.7MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Cash-mortgage-sales-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=cash_mortgage-sales&utm_term=9.30_16_02_22" class="govuk-link">Cash mortgage sales (CSV, 6.38MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/First-Time-Buyer-Former-Owner-Occupied-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=FTNFOO&utm_term=9.30_16_02_22" class="govuk-link">First time buyer and former owner occupier (CSV, 6.1MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/New-and-Old-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=new_build&utm_term=9.30_16_02_22" class="govuk-link">New build and existing resold property (CSV, 17MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Indices-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=index&utm_term=9.30_16_02_22" class="govuk-link">Index (CSV, 5.96MB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Indices-seasonally-adjusted-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=index_season_adjusted&utm_term=9.30_16_02_22" class="govuk-link">Index seasonally adjusted (CSV, 196KB)
http://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Average-price-seasonally-adjusted-2021-12.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=average-price_season_adjusted&utm_term=9.30_16_02_22" class="govuk-link">Average price seasonally a
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TwitterIn 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes: Residential Real Estate Sales Mortgage Foreclosures Residential Vacancy Parcel Year Built Parcel Condition Building Violations Owner Occupancy Subsidized Housing Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. Please refer to the presentation and executive summary for more information about the data, methodology, and findings.