Residential real estate prices in Chile have gradually risen since 2010, with the house price index peaking at 196.8 index points in the fourth quarter of 2024. The house price index measures the quarterly development of house prices using 2015 as a base year. An index value of 150 means that house prices increased by 50 percent since 2015.

Graph and download economic data for Purchase Only House Price Index for the West South Central Census Division (PONHPI00105M226S) from Jan 1991 to Aug 2025 about West South Central Census Division, HPI, housing, price index, indexes, price, and USA.

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.

Graph and download economic data for Purchase Only House Price Index for the East South Central Census Division (PONHPI10400Q226N) from Q1 1991 to Q3 2025 about East South Central Census Division, HPI, housing, price index, indexes, price, and USA.

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.

Graph and download economic data for All-Transactions House Price Index for the East South Central Census Division (CESCSTHPI) from Q1 1975 to Q3 2025 about East South Central Census Division, appraisers, HPI, housing, price index, indexes, price, and USA.

The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

United States - Import Price Index: Household and institutional furniture and kitchen cabinet manufacturing for Eastern Europe, Latin America, OPEC countries, and other countries in Asia, Africa, and the Western Hemisphere (DISCONTINUED) was 101.20000 Index 2010=100 in December of 2017, according to the United States Federal Reserve. Historically, United States - Import Price Index: Household and institutional furniture and kitchen cabinet manufacturing for Eastern Europe, Latin America, OPEC countries, and other countries in Asia, Africa, and the Western Hemisphere (DISCONTINUED) reached a record high of 102.40000 in September of 2014 and a record low of 99.40000 in July of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Import Price Index: Household and institutional furniture and kitchen cabinet manufacturing for Eastern Europe, Latin America, OPEC countries, and other countries in Asia, Africa, and the Western Hemisphere (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

The average for 2021 based on 11 countries was 60.144 index points. The highest value was in Peru: 109.71 index points and the lowest value was in Suriname: 16.67 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

Context

The datasets contain real estate listings in Argentina, Colombia, Ecuador, Perú, and Uruguay. With information on number of rooms, districts, prices, etc. They include houses, apartments, commercial lots, and more.

The datasets origin from Properati Data which is a data division of Properati, the Latin American property search site. On their website you can find links to different tools and datasets to use freely for your projects. All you have to do is make sure you credit them for the data.

Content

What a minute the dataset is in Spanish?! Yes, so for that reason I have provided a translated overview below. Keep in mind that although Spanish is a single language, certain words and expressions may vary depending on the country and region, e.g. the word for apartment in Colombia "apartamento" is "departamento" in Argentina. But all of these are easy to translate with Google Translator.

Overview of Data

• type - Type of listing:
  • Propiedad (Property).
  • Desarrollo/Proyecto (Development/Project).
• country - Country in which the listing is published:
  • Argentina
  • Colombia
  • Ecuador
  • Perú
  • Uruguay
• id - id of the listing. It is not unique: if the listing is updated by the real estate agency (new version of the listing) a new record is created with the same id but different dates: registration and cancellation.
• start_date - Date of registration of the listing.
• end_date - Cancellation date of the listing.
• created_on - Date of registration of the first version of the listing.
• lat - Latitude of the property.
• lon - Longitud of the property.
• l1 - Administrative Level 1: Country of the property.
• l2 - Administrative Level 2: Usually the province of the property.
• l3 - Administrative Level 3: Usually the city of the property.
• l4 - Administrative Level 4: Usually the neighbourhood of the property.
• operation - Type of listing:
  • Venta (Sale).
  • Alquiler (Rent).
• type - Type of property:
  • Casa (House).
  • Departamento (Apartment).
  • PH (Horizontal Property).
• rooms - Number of rooms (useful for Argentina).
• bedrooms - Number of bedrooms (useful for the rest of the countries).
• bathrooms - Number of bathrooms.
• surface_total - Total area in m².
• surface_covered - Area covered in m².
• price - Price published in the listing.
• currency - Currency of published price.
• price_period - Payment periods:
  • Diario (Daily).
  • Semanal (Weekly).
  • Mensual (Monthly).
• title - Title of the listing (These are in Spanish).
• description - Description of the listing (In Spanish).
• status - Development status (Completed, Under construction, ...).
• name - Development name.
• short_description - Short listing description.

Acknowledgements & Inspiration

I want to thank Properati Data for providing the datasets free of charge. Especially, datasets on real estate listings that can be difficult to come by without spending time on creating crawlers and finding websites that will allow for crawling.

The inspiration and reason I came by the datasets in the first place was through my personal project on predicting apartment prices in Buenos Aires.

Additional Information

Data was downloaded the May 24 2020.

This statistic shows a ranking of the estimated real total consumer spending on housing, water, fuels & electricity in 2020 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Graph and download economic data for All-Transactions House Price Index for South Bend-Mishawaka, IN-MI (MSA) (ATNHPIUS43780Q) from Q1 1982 to Q2 2025 about South Bend, MI, IN, appraisers, HPI, housing, price index, indexes, price, and USA.

This statistic shows a ranking of the estimated real per capita consumer spending on furnishings, household equipment and routine maintenance of the house in 2020 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Graph and download economic data for All-Transactions House Price Index for South Carolina (SCSTHPI) from Q1 1975 to Q2 2025 about SC, appraisers, HPI, housing, price index, indexes, price, and USA.

About Dataset

Context The datasets contain real estate listings in Colombia. With information on number of rooms, districts, prices, etc. They include houses, apartments, commercial lots, and more.

The datasets origin from Properati Data which is a data division of Properati, the Latin American property search site.

Content

type - Type of listing: - Propiedad (Property). - Desarrollo/Proyecto (Development/Project).

country - Country in which the listing is published: Colombia id - id of the listing. It is not unique: if the listing is updated by the real estate agency (new version of the listing) a new record is created with the same id but different dates: registration and cancellation. start_date - Date of registration of the listing. end_date - Cancellation date of the listing. created_on - Date of registration of the first version of the listing. lat - Latitude of the property. lon - Longitud of the property. l1 - Administrative Level 1: Country of the property. l2 - Administrative Level 2: Usually the province of the property. l3 - Administrative Level 3: Usually the city of the property. l4 - Administrative Level 4: Usually the neighbourhood of the property. operation - Type of listing: - Venta (Sale). - Alquiler (Rent). type - Type of property: - Casa (House). - Departamento (Apartment). - PH (Horizontal Property). rooms - Number of rooms bedrooms - Number of bedrooms bathrooms - Number of bathrooms. surface_total - Total area in m². surface_covered - Area covered in m². price - Price published in the listing. currency - Currency of published price. price_period - Payment periods: - Diario (Daily). - Semanal (Weekly). - Mensual (Monthly). title - Title of the listing description - Description of the listing status - Development status (Completed, Under construction, …). name - Development name. short_description - Short listing description.

The real total consumer spending on household upkeep in Peru was forecast to continuously increase between 2024 and 2029 by in total 2.2 billion U.S. dollars (+13.7 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 18.6 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case concerning furnishings, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on household upkeep in countries like Ecuador and Bolivia.

Graph and download economic data for All-Transactions House Price Index for South Dakota (SDSTHPI) from Q1 1975 to Q3 2025 about SD, appraisers, HPI, housing, price index, indexes, price, and USA.

The real total consumer spending on household upkeep in Ecuador was forecast to continuously increase between 2024 and 2029 by in total 398.8 million U.S. dollars (+13.86 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 3.3 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case concerning furnishings, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on household upkeep in countries like Peru and Bolivia.

Graph and download economic data for All-Transactions House Price Index for Greenville County, SC (ATNHPIUS45045A) from 1975 to 2024 about Greenville County, SC; Greenville; SC; HPI; housing; price index; indexes; price; and USA.

Graph and download economic data for Purchase Only House Price Index for the South Atlantic Census Division (PONHPI00103M226N) from Jan 1991 to Aug 2025 about South Atlantic Census Division, HPI, housing, price index, indexes, price, and USA.