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This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.
| Column Name | Description |
|---|---|
Country | The country where the housing market data is recorded 🌍 |
Year | The year of observation 📅 |
Average House Price ($) | The average price of houses in USD 💰 |
Median Rental Price ($) | The median monthly rent for properties in USD 🏠 |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage 📉 |
Household Income ($) | The average annual household income in USD 🏡 |
Population Growth (%) | The percentage increase in population over the year 👥 |
Urbanization Rate (%) | Percentage of the population living in urban areas 🏙️ |
Homeownership Rate (%) | The percentage of people who own their homes 🔑 |
GDP Growth Rate (%) | The annual GDP growth percentage 📈 |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force 💼 |
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Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.
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TwitterTurkey experienced the highest annual change in house prices in 2025, followed by North Macedonia and Portugal. In the second quarter of the year, the nominal house price in Turkey grew by **** percent, while in North Macedonia and Portugal, the increase was **** and **** percent, respectively. Meanwhile, some countries saw prices fall throughout the year. That has to do with an overall cooling of the global housing market that started in 2022. When accounting for inflation, house price growth was slower, and even more countries saw the market shrink.
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TwitterThis dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.
- BROKERTITLE: Title of the broker
- TYPE: Type of the house
- PRICE: Price of the house
- BEDS: Number of bedrooms
- BATH: Number of bathrooms
- PROPERTYSQFT: Square footage of the property
- ADDRESS: Full address of the house
- STATE: State of the house
- MAIN_ADDRESS: Main address information
- ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
- LOCALITY: Locality information
- SUBLOCALITY: Sublocality information
- STREET_NAME: Street name
- LONG_NAME: Long name
- FORMATTED_ADDRESS: Formatted address
- LATITUDE: Latitude coordinate of the house
- LONGITUDE: Longitude coordinate of the house
- Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
- Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
- Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
- Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
- Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.
If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you
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TwitterIn 2025, India was the country with the highest increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. In the second quarter of the year, the nominal house price index in India reached over 359 index points. This suggests an increase of 259 percent since 2010, the baseline year when the index value was set to 100. It is important to note that the nominal index does not account for the effects of inflation, meaning when adjusted for inflation, price growth in real terms was slower.
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TwitterRedfin is a real estate brokerage and publishes the US housing market data on a regular basis. Using this dataset, you can analyze and visualize housing market data for US cities. Timeline: Starting from February 2012 until the present time (Data is refreshed and updated on a monthly basis)
The dataset has the following columns:
- period_begin
- period_end
- period_duration
- region_type
- region_type_id
- table_id
- is_seasonally_adjusted. (indicates if prices are seasonally adjusted; f represents False)
- region
- city
- state
- state_code
- property_type
- property_type_id
- median_sale_price
- median_sale_price_mom (median sale price changes month over month)
- median_sale_price_yoy (median sale price changes year over year)
- median_list_price
- median_list_price_mom (median list price changes month over month)
- median_list_price_yoy (median list price changes year over year)
- median_ppsf (median sale price per square foot)
- median_ppsf_mom (median sale price per square foot changes month over month)
- median_ppsf_yoy (median sale price per square foot changes year over year)
- median_list_ppsf (median list price per square foot)
- median_list_ppsf_mom (median list price per square foot changes month over month)
- median_list_ppsf_yoy. (median list price per square foot changes year over year)
- homes_sold (number of homes sold)
- homes_sold_mom (number of homes sold month over month)
- homes_sold_yoy (number of homes sold year over year)
- pending_sales
- pending_sales_mom
- pending_sales_yoy
- new_listings
- new_listings_mom
- new_listings_yoy
- inventory
- inventory_mom
- inventory_yoy
- months_of_supply
- months_of_supply_mom
- months_of_supply_yoy
- median_dom (median days on market until property is sold)
- median_dom_mom (median days on market changes month over month)
- median_dom_yoy (median days on market changes year over year)
- avg_sale_to_list (average sale price to list price ratio)
- avg_sale_to_list_mom (average sale price to list price ratio changes month over month)
- avg_sale_to_list_yoy (average sale price to list price ratio changes year over year)
- sold_above_list
- sold_above_list_mom
- sold_above_list_yoy
- price_drops
- price_drops_mom
- price_drops_yoy
- off_market_in_two_weeks (number of properties that will be taken off the market within 2 weeks)
- off_market_in_two_weeks_mom (changes in number of properties that will be taken off the market within 2 weeks, month over month)
- off_market_in_two_weeks_yoy (changes in number of properties that will be taken off the market within 2 weeks, year over year)
- parent_metro_region
- parent_metro_region_metro_code
- last_updated
Filetype: gzip (gz) Support for gzip files in Python: https://docs.python.org/3/library/gzip.html
Data Source & Credit: Redfin.com
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Residential Property Prices in Serbia increased 5.78 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Serbia Residential Property Prices.
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Key information about House Prices Growth
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Graph and download economic data for Real Residential Property Prices for Australia (QAUR628BIS) from Q1 1970 to Q2 2025 about Australia, residential, HPI, housing, real, price index, indexes, and price.
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Discover the latest trends in the booming €1.95 trillion European residential real estate market. Explore growth forecasts (CAGR 4.5%), key drivers, regional breakdowns (UK, Germany, France), leading companies, and market challenges until 2033. Recent developments include: November 2023: DoorFeed, a Proptech company, raised EUR 12 million (USD 13.24 million) in seed funding, led by Motive Ventures and Stride and supported by renowned investors, including Seedcamp. Founded by veteran proptech entrepreneur and ex-Uber employee James Kirimi, DoorFeed aims to be the first choice for institutional investors seeking to invest in residential real estate. The company is looking to expand its footprint across Europe, with a focus on Spain, Germany, and the United Kingdom., October 2023: H.I.G, a global alternative investment firm with over USD 59 billion in assets under management, invested in the real estate development company, The Grounds Real Estate Development AG (“the Transaction”), which is listed on the alternative stock exchange. The proceeds of the transaction are expected to be utilized to fund the capital expenditures of the current projects of The Grounds. The Grounds, based in Berlin, specializes in the acquisition and development of German residential properties located in large metropolitan areas. In the transaction, the major shareholders of The Grounds, which currently hold 73% of the company’s shares, have agreed to grant H. I.G. the right to share in future rights issues.. Key drivers for this market are: Increasing Developments in the Residential Segment, Investments in the Senior Living Units. Potential restraints include: Limited Availability of Land Hindering the Market. Notable trends are: Student Housing to Gain Traction.
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TwitterInnsbruck was the most expensive Austrian city to buy an apartment in, with average values of 7,700 euros per square meter in the first quarter of 2025. The price of an apartment in Graz was significantly lower at 4,590 euros per square meter.
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This dataset contains 2,000 entries of house price data from all states in Malaysia, providing a comprehensive overview of the country’s real estate market for 2025. Sourced from Brickz, a trusted platform for property transaction insights, it includes detailed information such as property location, tenure, type, median prices, and transaction counts. This dataset is ideal for real estate market analysis, predictive modeling, and exploring trends across Malaysia’s diverse property market.
https://encrypted-tbn1.gstatic.com/licensed-image?q=tbn:ANd9GcR8ttDRWTx7dIxuUegBTsggS4a6tQrnNA6DEW_HJu2DphQNsverV0PYsSkdbSdqm4qRaRuBOh4Txbv11yXMxIKWqh-_WAkeTuQI8Diu-Q" alt="Kuala Lumpur, Malaysia">
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Residential Property Prices in Sweden increased 0.66 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Sweden Residential Property Prices.
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TwitterIn 2020, Hong Kong had the most expensive residential property market worldwide, with an average property price of 1.25 million U.S. dollars. The government of Hong Kong provide public housing for lower-income residents and almost 45 percent of the Hong Kong population lived in public permanent housing in 2018.
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Residential Property Prices in Mexico increased 8.71 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Mexico Residential Property Prices.
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TwitterThe financial crisis in 2008 led to steep declines in the house price in France, followed by some large increases. Since 2024, the French property market has contracted again, with the inflation-adjusted home price declining by **** percent in the second quarter of 2025.
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License information was derived automatically
Australian Property Market Insights Dataset: Historical affordability metrics, cash rate impact on lending, supply vs demand analysis, property metrics, first home buyer trends, and lending risk assessment. Official data from ABS, APRA, and RBA (2014-present).
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Residential Property Prices in the United States increased 1.66 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for the United States Residential Property Prices.
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TwitterAccording to the forecast, house prices in the UK prime property market are expected to increase by almost **** percent by 2029. Growth is expected to accelerate over the five-year period, with 2025 expecting the lowest increase and 2029, the highest.
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TwitterHouse prices in the UK rose dramatically during the coronavirus pandemic, with growth slowing down in 2022 and turning negative in 2023. The year-on-year annual house price change peaked at 14 percent in July 2022. In April 2025, house prices increased by 3.5 percent. As of late 2024, the average house price was close to 290,000 British pounds. Correction in housing prices: a European phenomenon The trend of a growing residential real estate market was not exclusive to the UK during the pandemic. Likewise, many European countries experienced falling prices in 2023. When comparing residential property RHPI (price index in real terms, e.g. corrected for inflation), countries such as Germany, France, Italy, and Spain also saw prices decline. Sweden, one of the countries with the fastest growing residential markets, saw one of the largest declines in prices. How has demand for UK housing changed since the outbreak of the coronavirus? The easing of the lockdown was followed by a dramatic increase in home sales. In November 2020, the number of mortgage approvals reached an all-time high of over 107,000. One of the reasons for the housing boom were the low mortgage rates, allowing home buyers to take out a loan with an interest rate as low as 2.5 percent. That changed as the Bank of England started to raise the base lending rate, resulting in higher borrowing costs and a decline in homebuyer sentiment.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.
| Column Name | Description |
|---|---|
Country | The country where the housing market data is recorded 🌍 |
Year | The year of observation 📅 |
Average House Price ($) | The average price of houses in USD 💰 |
Median Rental Price ($) | The median monthly rent for properties in USD 🏠 |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage 📉 |
Household Income ($) | The average annual household income in USD 🏡 |
Population Growth (%) | The percentage increase in population over the year 👥 |
Urbanization Rate (%) | Percentage of the population living in urban areas 🏙️ |
Homeownership Rate (%) | The percentage of people who own their homes 🔑 |
GDP Growth Rate (%) | The annual GDP growth percentage 📈 |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force 💼 |