Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

Context

The purpose of this kernel is to predict the price of a house that a realtor can charge, or a customer can invest to buy a house by considering multiple input factors. Also, to classify the houses into Good and Excellent category based on the input variables by using best machine learning classification and regression algorithms with more efficiency.

Content

This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. The dataset is pretty unbalanced with wide range of houses information that are built and renovated from the year 1990 to 2015. The dataset has total 21 variables including price,price, condition, number of bedrooms, bathrooms and other features of house.

Inspiration

I was inspired by the House sales dataset in King County, USA (https://www.kaggle.com/harlfoxem/housesalesprediction) and House Sales in Ontario (https://www.kaggle.com/mnabaee/ontarioproperties) datasets and the predictions and classifiers used.

Sale of Houses can go high and low depending on the market and multiple factors like location, number of bedrooms, year built etc. All these factors help in deriving the sale price of the house and grading of the house. Millions of houses information can be stored with all the details and factors in the historical timelines. Using machine learning techniques, we can analyze the data and predict the price of new houses and also classify the houses and fix a price value by calculating all the factors that directly or indirectly impact on the overall sale of house.

Annual New Property prices by cities from 1969 to 2015

Prior to 1974 the data was based on surveys of existing house sales in Dublin carried out by the Valuation Office on behalf of the D. O. E. Since 1974 the data has been based on information supplied by all lending agencies on the average price of mortgage financed existing house transactions. Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. Data for 1969/1970 is not available for Cork, Limerick, Galway, Waterford and Other areas
The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

National and Other Areas figure changed for 2015 on 27/6/15 as revised data received from Local Authorities Prices includes houses and apartments measured in €

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. National and Other Areas figure changed for 2015Q4 on 27/6/15 as revised data received from Local Authorities (includes houses and apartments measured in €) .hidden { display: none }

Median price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

Average House Prices in Canada decreased to 687300 CAD in August from 688100 CAD in July of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

Prior to 1974 the data was based on surveys of existing house sales in Dublin carried out by the Valuation Office on behalf of the D. O. E. Since 1974 the data has been based on information supplied by all lending agencies on the average price of mortgage financed existing house transactions. Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. Data for 1969/1970 is not available for Cork, Limerick, Galway, Waterford and Other areas The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. National and Other Areas figure changed for 2015 on 27/6/15 as revised data received from Local Authorities Prices includes houses and apartments measured in € .hidden { display: none }

House Price Index YoY in the United States decreased to 2.30 percent in July from 2.70 percent in June of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

This table shows the price development of existing own homes. Aside from the price indices, Statistics Netherlands also publishes figures on the number of sold dwellings, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices can fluctuate, for example when a limited number of dwellings of a certain type is sold. In such cases we recommend using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

Data available from: January 1995 till December 2023

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

From reporting month January 2024, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In February 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated

Changes as of 11 March 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price indices 2020=100. See paragraph 3.

Cost-of-Goods-Sold-Including-Depreciation-and-Amortization Time Series for Invitation Homes Inc. Invitation Homes, an S&P 500 company, is the nation's premier single-family home leasing and management company, meeting changing lifestyle demands by providing access to high-quality homes with valued features such as close proximity to jobs and access to good schools. Our purpose, Unlock the power of home, reflects our commitment to providing living solutions and Genuine CARE to the growing share of people who count on the flexibility and savings of leasing a home.

House Price Index YoY in Saudi Arabia decreased to 3.20 percent in the second quarter of 2025 from 4.30 percent in the first quarter of 2025. This dataset includes a chart with historical data for Saudi Arabia House Price Index YoY.

The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of dwellings are sold in a certain region. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

Data available from: 1st quarter 1995 to 4th quarter 2023

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

Changes as of 6 June 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price index 2020=100, region. See paragraph 3.

From reporting period 2024 quarter 1, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In April 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated.

Housing Index in Hong Kong decreased to 139.94 points in September 28 from 140.25 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

New Home Sales in the United States increased to 800 Thousand units in August from 664 Thousand units in July of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States US: Price to Income Ratio: sa data was reported at 130.892 2015=100 in 2024. This records an increase from the previous number of 129.315 2015=100 for 2023. United States US: Price to Income Ratio: sa data is updated yearly, averaging 113.539 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 132.929 2015=100 in 1979 and a record low of 90.287 2015=100 in 2012. United States US: Price to Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

Operating-Expenses Time Series for Invitation Homes Inc. Invitation Homes, an S&P 500 company, is the nation's premier single-family home leasing and management company, meeting changing lifestyle demands by providing access to high-quality homes with valued features such as close proximity to jobs and access to good schools. Our purpose, Unlock the power of home, reflects our commitment to providing living solutions and Genuine CARE to the growing share of people who count on the flexibility and savings of leasing a home.

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

India IN: House Price Index: Nominal: sa data was reported at 149.020 2015=100 in Dec 2024. This records a decrease from the previous number of 149.115 2015=100 for Sep 2024. India IN: House Price Index: Nominal: sa data is updated quarterly, averaging 111.391 2015=100 from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 149.115 2015=100 in Sep 2024 and a record low of 34.745 2015=100 in Mar 2009. India IN: House Price Index: Nominal: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.AHPI: House Price Index: Seasonally Adjusted: Non OECD Member: Quarterly. Urban areas - 10 main cities; Seasonnally adjusted by OECD, using the X-12 ARIMA method; Residential property prices, sales of newly-built and existing dwellings, all types of dwellings The source for recent figures is same as the OECD Residential Property Price Indices (RPPIs) - Headline indicators database. Sales

Tax-Provision Time Series for Invitation Homes Inc. Invitation Homes, an S&P 500 company, is the nation's premier single-family home leasing and management company, meeting changing lifestyle demands by providing access to high-quality homes with valued features such as close proximity to jobs and access to good schools. Our purpose, Unlock the power of home, reflects our commitment to providing living solutions and Genuine CARE to the growing share of people who count on the flexibility and savings of leasing a home.