100+ datasets found
  1. Resale flat prices based on registration date from Jan-2017 onwards

    • data.gov.sg
    Updated Jun 27, 2025
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    Housing & Development Board (2025). Resale flat prices based on registration date from Jan-2017 onwards [Dataset]. https://data.gov.sg/datasets/d_8b84c4ee58e3cfc0ece0d773c8ca6abc/view
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Housing and Development Boardhttp://www.hdb.gov.sg/
    Authors
    Housing & Development Board
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 2017 - Jun 2025
    Description

    Dataset from Housing & Development Board. For more information, visit https://data.gov.sg/datasets/d_8b84c4ee58e3cfc0ece0d773c8ca6abc/view

  2. Average resale price of HDB flats Singapore 2017-2025, by type

    • statista.com
    Updated Jan 8, 2025
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    Statista (2025). Average resale price of HDB flats Singapore 2017-2025, by type [Dataset]. https://www.statista.com/statistics/1499703/singapore-average-resale-price-of-hdb-flats-by-type/
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    Dataset updated
    Jan 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    As of 1st January 2025, the average resale price of a Housing Development Board (HDB) 4-room flat was at 636,259 Singapore dollars. The resale price of such flats had increased by about 200,000 Singapore dollars since 2017. HDB is responsible for managing Singapore's government housing, and cater to all income levels in Singapore. HDB flats range from 1-room apartments to large, multi-generational apartments. Around 75 percent of the Singapore population live in HDB flats. Citizens who wish to purchase a new flat would need to apply for a built-to-order (BTO) apartment.

  3. Resale Flat Prices (Based on Registration Date), From Mar 2012 to Dec 2014

    • data.gov.sg
    Updated Aug 28, 2024
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    Housing & Development Board (2024). Resale Flat Prices (Based on Registration Date), From Mar 2012 to Dec 2014 [Dataset]. https://data.gov.sg/datasets/d_2d5ff9ea31397b66239f245f57751537/view
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    Dataset updated
    Aug 28, 2024
    Dataset provided by
    Housing and Development Boardhttp://www.hdb.gov.sg/
    Authors
    Housing & Development Board
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Mar 2012 - Dec 2014
    Description

    Dataset from Housing & Development Board. For more information, visit https://data.gov.sg/datasets/d_2d5ff9ea31397b66239f245f57751537/view

  4. Resale Flat Prices

    • dataportal.asia
    csv
    Updated Sep 24, 2019
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    data.gov.sg (2019). Resale Flat Prices [Dataset]. https://dataportal.asia/ar/dataset/192521611_resale-flat-prices
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    csvAvailable download formats
    Dataset updated
    Sep 24, 2019
    Dataset provided by
    Data.govhttps://data.gov/
    Description

    Resale transacted prices. Prior to March 2012, data is based on date of approval for the resale transactions.
    For March 2012 onwards, the data is based on date of registration for the resale transactions.

  5. Resale price index of HDB residential unit Singapore Q1 2017-Q4 2024

    • statista.com
    Updated Oct 15, 2021
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    Statista (2021). Resale price index of HDB residential unit Singapore Q1 2017-Q4 2024 [Dataset]. https://www.statista.com/statistics/1268585/singapore-hdb-residential-unit-resale-price-index/
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    Dataset updated
    Oct 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    As of the fourth quarter of 2024, the resale price index of residential units from the Housing Development Board (HDB) in Singapore was at *****, which means that HDB resale flat prices increased by **** percent since the first quarter of 2009. The index tracks the overall price movement of the public residential market, compared to the base value from the first quarter of 2009, when the index value was equal to 100.

  6. Singapore Home Resale Prices (HDB)

    • kaggle.com
    Updated Apr 22, 2024
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    Alfred Tang (2024). Singapore Home Resale Prices (HDB) [Dataset]. https://www.kaggle.com/datasets/talietzin/singapore-hdb-resale-prices-1990-to-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 22, 2024
    Dataset provided by
    Kaggle
    Authors
    Alfred Tang
    Area covered
    Singapore
    Description

    General Information and License

    Data Availability

    • 1990 - 02-2012 (based on registration date)
    • 03-2012 - 2023-09 (based on approval date)

    Contains resale prices only because most of Singapore's population lives in (very well-made and maintained!) public housing.

    Does not contain condo/landed house prices.

    Special Notes

    • Public housing in Singapore is generally sold on a leasehold (typically 99-year) basis.
    • Prices tend to decrease as the remaining lease period decreases (see Bala's Curve).

    Data Representation

    Each row represents 1 transaction.

    Data Dictionary

    ColumnDescription
    latitudeLatitude coordinate.
    longitudeLongitude coordinate.
    postal_code6-digit postal code.
    addressStreet address.
    closest_mrtName of closest Mass Rapid Transit (MRT) station.
    closest_mrt_distDistance (metres) to closest MRT station.
    cbd_distDistance (metres) to Central Business District (1.2830, 103.8513 -- Raffles Place Station)
    monthYYYY-MM representation of the transaction date.
    townName of the neighbourhood in which the flat is located.
    flat_typeGeneric type of flat, e.g. "3 ROOM", "4 ROOM".
    blockBlock number.
    street nameStreet name.
    storey_rangeHeight of the flat. Specific floors are never given (as of 2024).
    floor_areaFloor area in Square Metres.
    flat_modelModel/subtype of flat. Each flat type has certain specifications and configurations.
    lease_commence_dateThe year that the leasehold contract of the flat began. Most (not all) flats have 99-year leases.
    remaining_leaseRemaining lease of the contract in years and months. Not all files have this column. It only starts appearing in the file with data from Jan 2015 to Dec 2016.
    resale_priceTarget column. This is the transacted resale price as agreed between buyer and seller.
    years remainingYears remaining on the lease.

    Update Frequency

    • This dataset may be updated every year or so as new transaction data becomes available.
  7. S

    Singapore Resale Price: Avg Valuation: HDB Flats: Queenstown: 3 Room Flat

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). Singapore Resale Price: Avg Valuation: HDB Flats: Queenstown: 3 Room Flat [Dataset]. https://www.ceicdata.com/en/singapore/resale-flat-statistics/resale-price-avg-valuation-hdb-flats-queenstown-3-room-flat
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Sales
    Description

    Singapore Resale Price: Avg Valuation: HDB Flats: Queenstown: 3 Room Flat data was reported at 355,000.000 SGD in Sep 2018. This records an increase from the previous number of 348,400.000 SGD for Jun 2018. Singapore Resale Price: Avg Valuation: HDB Flats: Queenstown: 3 Room Flat data is updated quarterly, averaging 320,000.000 SGD from Sep 2002 (Median) to Sep 2018, with 65 observations. The data reached an all-time high of 408,000.000 SGD in Dec 2013 and a record low of 126,400.000 SGD in Sep 2002. Singapore Resale Price: Avg Valuation: HDB Flats: Queenstown: 3 Room Flat data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB027: Resale Flat Statistics.

  8. S

    Singapore Resale Price: Avg Valuation: HDB Flats: Bukit Merah: 3 Room Flat

    • ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). Singapore Resale Price: Avg Valuation: HDB Flats: Bukit Merah: 3 Room Flat [Dataset]. https://www.ceicdata.com/en/singapore/resale-flat-statistics/resale-price-avg-valuation-hdb-flats-bukit-merah-3-room-flat
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Sales
    Description

    Singapore Resale Price: Avg Valuation: HDB Flats: Bukit Merah: 3 Room Flat data was reported at 355,000.000 SGD in Sep 2018. This records an increase from the previous number of 335,000.000 SGD for Jun 2018. Singapore Resale Price: Avg Valuation: HDB Flats: Bukit Merah: 3 Room Flat data is updated quarterly, averaging 333,500.000 SGD from Sep 2002 (Median) to Sep 2018, with 65 observations. The data reached an all-time high of 412,000.000 SGD in Jun 2013 and a record low of 135,300.000 SGD in Sep 2002. Singapore Resale Price: Avg Valuation: HDB Flats: Bukit Merah: 3 Room Flat data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB027: Resale Flat Statistics.

  9. S

    Singapore Resale Price: Avg Valuation: HDB Flats: Pasir Ris: Executive Flat

    • dr.ceicdata.com
    Updated Jul 21, 2018
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    CEICdata.com (2018). Singapore Resale Price: Avg Valuation: HDB Flats: Pasir Ris: Executive Flat [Dataset]. https://www.dr.ceicdata.com/en/singapore/resale-flat-statistics/resale-price-avg-valuation-hdb-flats-pasir-ris-executive-flat
    Explore at:
    Dataset updated
    Jul 21, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Sales
    Description

    Singapore Resale Price: Avg Valuation: HDB Flats: Pasir Ris: Executive Flat data was reported at 625,000.000 SGD in Sep 2018. This records an increase from the previous number of 620,000.000 SGD for Jun 2018. Singapore Resale Price: Avg Valuation: HDB Flats: Pasir Ris: Executive Flat data is updated quarterly, averaging 538,800.000 SGD from Sep 2002 (Median) to Sep 2018, with 65 observations. The data reached an all-time high of 670,000.000 SGD in Dec 2012 and a record low of 362,000.000 SGD in Jun 2007. Singapore Resale Price: Avg Valuation: HDB Flats: Pasir Ris: Executive Flat data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB027: Resale Flat Statistics.

  10. Total number of HDB resale units in Singapore 2009-2022

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Total number of HDB resale units in Singapore 2009-2022 [Dataset]. https://www.statista.com/statistics/1035048/singapore-total-number-hdb-resale-units/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    In 2020, there were around 24.7 thousand resale units of Housing and Development Board (HDB) flats. By 2022, it was expected to reach 25 thousand resale units. The price growth of resale flats is expected to be slower that year, between 5 and 8 percent, due to price resistance in some locations.

  11. Average real estate sale price in China 1998-2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2024). Average real estate sale price in China 1998-2023 [Dataset]. https://www.statista.com/statistics/242851/average-real-estate-sale-price-in-china/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, the average price of real estate in China was approximately ****** yuan per square meter, representing a decrease from the previous year. Rising prices in the real estate market Since the 1998 housing reform, property prices in China have been rising continuously. Housing in the country is now often unaffordable, especially considering the modest per capita income of Chinese households. Shanghai and Beijing even have some of the most competitive real estate markets in the world. The rapid growth in housing prices has increased wealth among homeowners, while it also led to a culture of speculation among buyers and real estate developers. Housing was treated as investments, with owners expecting the prices to grow further every year. Risk factors The expectation of a steadily growing real estate market has created a property bubble and a potential debt crisis. As Chinese real estate giants, such as China Evergrande and Country Garden, operate by continuously acquiring land plots and initiating new projects, which often require substantial loans and investments, a slowdown in property demands or a decline in home prices can significantly affect the financial situation of these companies, putting China’s banks in a vulnerable position. In addition, due to a lack of regulations and monetary constraints, the long-term maintenance issues of high-rise apartments are also a concern to the sustainable development of China’s cities.

  12. S

    Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 5 Room...

    • ceicdata.com
    Updated Jun 15, 2018
    + more versions
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    CEICdata.com (2018). Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 5 Room Flat [Dataset]. https://www.ceicdata.com/en/singapore/resale-flat-statistics/resale-price-avg-valuation-hdb-flats-kallangwhampoa-5-room-flat
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2013 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Sales
    Description

    Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 5 Room Flat data was reported at 769,600.000 SGD in Jun 2018. This records an increase from the previous number of 702,500.000 SGD for Mar 2018. Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 5 Room Flat data is updated quarterly, averaging 520,000.000 SGD from Sep 2002 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 787,500.000 SGD in Jun 2016 and a record low of 351,000.000 SGD in Mar 2004. Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 5 Room Flat data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB027: Resale Flat Statistics.

  13. S

    Singapore Resale Price: Avg Valuation: HDB Flats: Clementi: 4 Room Flat

    • ceicdata.com
    Updated Jul 21, 2018
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    CEICdata.com (2018). Singapore Resale Price: Avg Valuation: HDB Flats: Clementi: 4 Room Flat [Dataset]. https://www.ceicdata.com/en/singapore/resale-flat-statistics/resale-price-avg-valuation-hdb-flats-clementi-4-room-flat
    Explore at:
    Dataset updated
    Jul 21, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Sales
    Description

    Singapore Resale Price: Avg Valuation: HDB Flats: Clementi: 4 Room Flat data was reported at 504,000.000 SGD in Sep 2018. This records a decrease from the previous number of 557,500.000 SGD for Jun 2018. Singapore Resale Price: Avg Valuation: HDB Flats: Clementi: 4 Room Flat data is updated quarterly, averaging 435,000.000 SGD from Sep 2002 (Median) to Sep 2018, with 63 observations. The data reached an all-time high of 640,000.000 SGD in Mar 2018 and a record low of 226,600.000 SGD in Sep 2002. Singapore Resale Price: Avg Valuation: HDB Flats: Clementi: 4 Room Flat data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB027: Resale Flat Statistics.

  14. Property Sales Data: Exploring Real Estate Trends

    • kaggle.com
    Updated Mar 1, 2024
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    Agung Pambudi (2024). Property Sales Data: Exploring Real Estate Trends [Dataset]. http://doi.org/10.34740/kaggle/ds/3838017
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Agung Pambudi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains property sales data, including information such as PropertyID, property type (e.g., Commercial or Residential), tax keys, property addresses, architectural styles, exterior wall materials, number of stories, year built, room counts, finished square footage, units (e.g., apartments), bedroom and bathroom counts, lot sizes, sale dates, and sale prices. Explore this dataset to gain insights into real estate trends and property characteristics.

    Field NameDescriptionType
    PropertyIDA unique identifier for each property.text
    PropTypeThe type of property (e.g., Commercial or Residential).text
    taxkeyThe tax key associated with the property.text
    AddressThe address of the property.text
    CondoProjectInformation about whether the property is part of a condominiumtext
    project (NaN indicates missing data).
    DistrictThe district number for the property.text
    nbhdThe neighborhood number for the property.text
    StyleThe architectural style of the property.text
    ExtwallThe type of exterior wall material used.text
    StoriesThe number of stories in the building.text
    Year_BuiltThe year the property was built.text
    RoomsThe number of rooms in the property.text
    FinishedSqftThe total square footage of finished space in the property.text
    UnitsThe number of units in the propertytext
    (e.g., apartments in a multifamily building).
    BdrmsThe number of bedrooms in the property.text
    FbathThe number of full bathrooms in the property.text
    HbathThe number of half bathrooms in the property.text
    LotsizeThe size of the lot associated with the property.text
    Sale_dateThe date when the property was sold.text
    Sale_priceThe sale price of the property.text




    Data.milwaukee.gov, (2023). Property Sales Data. [online] Available at: https://data.milwaukee.gov [Accessed 9th October 2023].

    Open Definition. (n.d.). Creative Commons Attribution 4.0 International Public License (CC BY 4.0). [online] Available at: http://www.opendefinition.org/licenses/cc-by [Accessed 9th October 2023].

  15. d

    Real Estate Sales 2001-2022 GL

    • catalog.data.gov
    • data.ct.gov
    Updated Dec 20, 2024
    + more versions
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    data.ct.gov (2024). Real Estate Sales 2001-2022 GL [Dataset]. https://catalog.data.gov/dataset/real-estate-sales-2001-2018
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    Dataset updated
    Dec 20, 2024
    Dataset provided by
    data.ct.gov
    Description

    The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.

  16. d

    COE Bidding Results / Prices

    • data.gov.sg
    Updated Jun 19, 2025
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    Land Transport Authority (2025). COE Bidding Results / Prices [Dataset]. https://data.gov.sg/datasets?sort=updatedAt
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Land Transport Authority
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Dec 2009 - May 2025
    Description

    Dataset from Land Transport Authority. For more information, visit https://data.gov.sg/datasets/d_69b3380ad7e51aff3a7dcc84eba52b8a/view

  17. Apartment sales price per square meter in Latin America 2024, by city

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Apartment sales price per square meter in Latin America 2024, by city [Dataset]. https://www.statista.com/statistics/996850/apartment-sale-prices-latin-america-city/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Mexico
    Description

    Montevideo, Uruguay's capital, leads Latin American cities with the highest apartment sale prices in 2024, averaging 3,454 U.S. dollars per square meter. This figure surpasses other major metropolitan areas like Mexico City and Buenos Aires, highlighting significant disparities in real estate markets across the region. The data underscores the varying economic conditions and housing demand in different Latin American urban centers. Regional housing market trends While Montevideo tops the list for apartment prices, other countries in Latin America have experienced notable changes in their housing markets. Chile, for instance, saw the most substantial increase in house prices since 2010, with its nominal house price index surpassing 342 points in early 2024. However, when adjusted for inflation, Mexico showed the highest inflation-adjusted percentage increase in house prices, growing by nearly five percent in the first quarter of 2024, contrasting with a global decline of one percent. Home financing in Mexico The methods of home financing vary across Latin America. A breakdown of homeownership by financing method in Mexico reveals that about two-thirds of owner-occupied housing units were financed through personal resources in 2022. Nevertheless, government-backed loans such as Infonavit (Mexico’s National Housing Fund Institute), Fovissste (Housing Fund of the Institute for Social Security and Services for State Workers), and Fonhapo (National Fund for Popular Housing), play an important role for homebuyers, with just over 20 percent of home purchases relying on such finance. Bank credit, which offers mortgage loans with interest rates ranging between nine and 12 percent, appeared as a less popular option.

  18. Sale price of newly built residential real estate in China 2023, by city

    • statista.com
    Updated Apr 23, 2025
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    Statista (2025). Sale price of newly built residential real estate in China 2023, by city [Dataset]. https://www.statista.com/statistics/243404/sale-price-of-residential-real-estate-in-china/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, the average price for residential real estate in Shenzhen 50,010 yuan per square meter. This was the highest price among all major cities in China, with the average price across the country amounting to 16,780 yuan per square meter. A pillar of the Chinese economy China gradually abolished its welfare housing allocation system and liberalized its real estate market in the 1990s. In 2003, the government declared the real estate sector as one of the pillars of the Chinese economy. Thanks to the country's rapid economic development and urbanization, China's real estate market expanded significantly in the last two decades, with the sector accounting for about seven percent of China's GDP in 2022. Unaffordable in major urban centers While the real estate industry greatly contributed to the growth of China's economy, the housing market boom also created social issues and financial risks. In comparison to household income, property prices in major cities, most notably Shanghai, Beijing, Guangzhou, and Shenzhen, are extraordinarily expensive for average citizens. Soaring housing prices have also led to a rapid division of wealth between homeowners and renters. At the same time, debt problems created by the rapid expansion of real estate companies and the high levels of debt accumulated by Chinese citizens have created serious potential hazards for China's financial system.

  19. S

    Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 3 Room...

    • ceicdata.com
    Updated Jun 15, 2018
    + more versions
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    CEICdata.com (2018). Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 3 Room Flat [Dataset]. https://www.ceicdata.com/en/singapore/resale-flat-statistics/resale-price-avg-valuation-hdb-flats-kallangwhampoa-3-room-flat
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Singapore
    Variables measured
    Sales
    Description

    Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 3 Room Flat data was reported at 300,000.000 SGD in Jun 2018. This records a decrease from the previous number of 313,000.000 SGD for Mar 2018. Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 3 Room Flat data is updated quarterly, averaging 297,500.000 SGD from Sep 2002 (Median) to Jun 2018, with 64 observations. The data reached an all-time high of 377,500.000 SGD in Mar 2013 and a record low of 129,900.000 SGD in Sep 2002. Singapore Resale Price: Avg Valuation: HDB Flats: Kallang/Whampoa: 3 Room Flat data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB027: Resale Flat Statistics.

  20. d

    Korea Real Estate Board_National Housing Price Trend Survey_Monthly...

    • data.go.kr
    csv
    Updated Mar 25, 2025
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    (2025). Korea Real Estate Board_National Housing Price Trend Survey_Monthly Trends_Apartment_Sale Price (Average Sale Price) [Dataset]. https://www.data.go.kr/en/data/15069826/fileData.do
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    csvAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    This is apartment sale price-average sale price data among monthly trends in a nationwide housing price trend survey provided by the Korea Real Estate Agency (formerly the Korea Appraisal Board). - Date of publication (monthly): The 15th of the following month (the next day if the publication date is a holiday) - Unit: KRW 1,000

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Link copied
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Housing & Development Board (2025). Resale flat prices based on registration date from Jan-2017 onwards [Dataset]. https://data.gov.sg/datasets/d_8b84c4ee58e3cfc0ece0d773c8ca6abc/view
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Resale flat prices based on registration date from Jan-2017 onwards

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Dataset updated
Jun 27, 2025
Dataset provided by
Housing and Development Boardhttp://www.hdb.gov.sg/
Authors
Housing & Development Board
License

https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

Time period covered
Jan 2017 - Jun 2025
Description

Dataset from Housing & Development Board. For more information, visit https://data.gov.sg/datasets/d_8b84c4ee58e3cfc0ece0d773c8ca6abc/view

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