5 datasets found
  1. 6

    Uruguay Real Estate Software Market (2025-2031) | Segmentation & Outlook

    • 6wresearch.com
    excel, pdf,ppt,csv
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    6Wresearch, Uruguay Real Estate Software Market (2025-2031) | Segmentation & Outlook [Dataset]. https://6wresearch.com/industry-report/uruguay-real-estate-software-market
    Explore at:
    excel, pdf,ppt,csvAvailable download formats
    Dataset authored and provided by
    6Wresearch
    License

    https://www.6wresearch.com/privacy-policyhttps://www.6wresearch.com/privacy-policy

    Area covered
    Uruguay
    Variables measured
    By Application (Small Enterprises, Medium Enterprises, Large Enterprises) And Competitive Landscape, By Product (Enterprise Resource Planning(ERP), Property Management System(PMS), Customer Relationship Management (CRM), Others),
    Description

    Uruguay Real Estate Software Market is expected to grow during 2025-2031

  2. Residential real estate price to income ratio in South America 2023, by city...

    • statista.com
    Updated Dec 15, 2023
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    Statista (2023). Residential real estate price to income ratio in South America 2023, by city [Dataset]. https://www.statista.com/statistics/1352979/south-america-apartment-price-to-income-ratio/
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    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South America, Argentina
    Description

    Buenos Aires, Argentina, was the least affordable city in South America in the first half of 2022 to buy an apartment. The ratio measures the number of years needed for a two-earner household where one person works full time and one person works half-time to buy a 90-square meter apartment. It assumes the property has the average square meter price for the city and that home buyers earn the average net salary. Montevideo, Uruguay, was one of the most affordable cities, where it took about nine years to buy an apartment.

  3. House rental Montevideo

    • kaggle.com
    zip
    Updated Oct 9, 2023
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    Ale uy (2023). House rental Montevideo [Dataset]. https://www.kaggle.com/datasets/lasm1984/house-rental-price-in-montevideo
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    zip(46243 bytes)Available download formats
    Dataset updated
    Oct 9, 2023
    Authors
    Ale uy
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Montevideo
    Description

    Montevideo Property Rental Dataset

    Description

    The Montevideo Property Rental Dataset provides comprehensive information about rental properties in Montevideo, Uruguay. This dataset is a valuable resource for anyone interested in exploring the rental property market in Montevideo, including real estate professionals, data analysts, and researchers.

    Key Features

    • Property Price: The rental price of each property.
    • Property Address: The location and address of each property.
    • Last Updated: The date when the property listing was last updated.
    • Common Expenses: Common expenses associated with the property, if applicable.
    • Floor: The floor number of the property within the building.
    • Apartments per Floor: The number of apartments on each floor in the building.
    • Number of Floors: The total number of floors in the building.
    • Property Type: The type of property (e.g., apartment, house, office).
    • Zone: The location or zone where the property is situated.
    • Condition: The condition or state of the property (e.g., good condition, excellent condition).
    • Disposition: The layout or disposition of the property (e.g., front, back, interior).
    • Bathrooms: The number of bathrooms in the property.
    • Bedrooms: The number of bedrooms or rooms in the property.
    • Built Square Meters: The total square meters of the property.
    • Terrace Square Meters: The square meters of terrace space, if applicable.
    • Land Square Meters: The total land square meters, if applicable.
    • Year of Construction: The year when the property was constructed.
    • Bedrooms: The number of bedrooms in the property.
    • Garages: The number of parking spaces or garages.
    • Floors: The number of floors or stories in the property.
    • Sea View: Whether the property offers a sea view (True/False).
    • Social Housing: Whether the property is designated as social housing (True/False).
    • Living Room: The presence of a living room in the property.
    • Grill: The availability of a barbecue area in the property.
    • Patio: The presence of a patio area in the property.
    • Balcony: The presence of a balcony in the property.
    • WiFi: Availability of WiFi in the property.
    • Gas Pipeline: Connection to a gas pipeline in the property.
    • Barbecue: Facilities for barbecues in the property.
    • Radiant Floor Heating: Radiant floor heating in the property.
    • Pet-Friendly: Whether the property is pet-friendly (True/False).
    • Playroom: The presence of a playroom or recreational area in the property.
    • Garden: The availability of a garden area in the property.
    • Heating: The type of heating system in the property.
    • Furnished: Whether the property is furnished (True/False).
    • Storage: Storage area or deposit in the property.
    • Air Conditioning: Availability of air conditioning in the property.
    • Gym: Gym facilities in the property.
    • Duplex: Whether the property is a duplex (True/False).
    • Pool: The presence of a swimming pool in the property.
    • Furnished: Whether the property is furnished (True/False).
    • Closet: Closet or wardrobe space in the property.
    • Solarium: Availability of a solarium area in the property.
    • Garage: Garage or parking space.

    This dataset provides a wealth of information for analyzing and understanding the rental property market in Montevideo. Whether you're looking for insights into property prices, property conditions, or available amenities, this dataset offers a comprehensive view of the rental properties in the city.

  4. Properati Listings Dataset (2020-2021)

    • kaggle.com
    zip
    Updated Jun 28, 2021
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    Jerónimo Luza (2021). Properati Listings Dataset (2020-2021) [Dataset]. https://www.kaggle.com/datasets/jluza92/argentina-properati-listings-dataset-20202021/discussion
    Explore at:
    zip(287463276 bytes)Available download formats
    Dataset updated
    Jun 28, 2021
    Authors
    Jerónimo Luza
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Description

    Description

    Properati is an online and mobile property platform for the real estate market. The company offers buyers, users, agile, free of ads, banners website, and tenants or real estate investors with a quick, designed for them to be able to communicate effectively with the offeror who has what they are looking for.

    Headquartered in the City of Buenos Aires, Argentina and with offices in Sao Paulo, Brazil, Properati was founded in 2012.

    Source

    Dataset is publicly available in CSV format at: https://www.properati.com.ar/data/

  5. Apartment sales price per square meter in Latin America 2025, by city

    • statista.com
    Updated Jan 10, 2025
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    Statista (2025). Apartment sales price per square meter in Latin America 2025, by city [Dataset]. https://www.statista.com/statistics/996850/apartment-sale-prices-latin-america-city/
    Explore at:
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2025
    Area covered
    Latin America, Ecuador, Mexico, Uruguay, Peru, Chile, Colombia, Panama, Brazil, Argentina
    Description

    Montevideo, Uruguay's capital, leads Latin American cities with the highest apartment sale prices in 2025, averaging ***** 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 *** points in early 2025. However, when adjusted for inflation, Mexico showed the highest inflation-adjusted percentage increase in house prices, growing by nearly *** percent in the first quarter of 2025, 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 ** percent of home purchases relying on such finance. Bank credit, which offers mortgage loans with interest rates ranging between **** and ** percent, appeared as a less popular option.

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Close
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6Wresearch, Uruguay Real Estate Software Market (2025-2031) | Segmentation & Outlook [Dataset]. https://6wresearch.com/industry-report/uruguay-real-estate-software-market

Uruguay Real Estate Software Market (2025-2031) | Segmentation & Outlook

Explore at:
excel, pdf,ppt,csvAvailable download formats
Dataset authored and provided by
6Wresearch
License

https://www.6wresearch.com/privacy-policyhttps://www.6wresearch.com/privacy-policy

Area covered
Uruguay
Variables measured
By Application (Small Enterprises, Medium Enterprises, Large Enterprises) And Competitive Landscape, By Product (Enterprise Resource Planning(ERP), Property Management System(PMS), Customer Relationship Management (CRM), Others),
Description

Uruguay Real Estate Software Market is expected to grow during 2025-2031

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