The median house price of residential real estate in California has increased notably since 2012. After a brief correction in property prices in 2022, the median price reached ******* U.S. dollars in December 2023.

This data set provides the calculated annual average price of residential homes sold, by home type, within Peel and the area municipalities since 2005. Data is compiled from monthly data released by the Toronto Real Estate Board’s Market Watch reports.NoteAverage annual home price by type for Peel and each of the area municipalities has been calculated using monthly sales and dollar volume. For years 2005 to 2011, data was first aggregated based on TREB districts.

Graph and download economic data for All-Transactions House Price Index for Oakland-Berkeley-Livermore, CA (MSAD) (ATNHPIUS36084Q) from Q2 1975 to Q1 2025 about Oakland, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

United States Median Home Sale Price: Single Family: Chico, CA data was reported at 378.000 USD th in Jul 2020. This records an increase from the previous number of 363.000 USD th for Jun 2020. United States Median Home Sale Price: Single Family: Chico, CA data is updated monthly, averaging 262.000 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 380.000 USD th in Jun 2019 and a record low of 164.000 USD th in Feb 2012. United States Median Home Sale Price: Single Family: Chico, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

The house price for Ontario is forecast to decrease by eight percent in 2023, followed by a minor increase of one percent in 2024. From roughly 932,000 Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to fall to 861,000 Canadian dollars in 2024. After British Columbia, Ontario is Canada's most expensive province for housing. Ontario Ontario is the most populated province in Canada, located on the eastern-central side of the country. It is an English speaking province. To the south, it borders American states Minnesota, Michigan, Ohio, Pennsylvania, and New York. Its provincial capital and largest city is Toronto. It is also home to Canada’s national capital, Ottawa. Furthermore, a large part of Ontario’s economy comes from manufacturing, as it is the leading manufacturing province in Canada. The population of Ontario has been steadily increasing since 2000. The population in 2018 was an estimated 14.3 million people. The median total family income in 2016 came to 83,160 Canadian dollars. Ontario housing market The number of housing units sold in Ontario is projected to rise until 2024. Additionally, the average home prices in Ontario have significantly increased since 2007.

Analysis of ‘Boston House Prices-Advanced Regression Techniques’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/the-boston-houseprice-data on 13 February 2022.

--- Dataset description provided by original source is as follows ---

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Context

The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

Attribute Information

Input features in order: 1) CRIM: per capita crime rate by town 2) ZN: proportion of residential land zoned for lots over 25,000 sq.ft. 3) INDUS: proportion of non-retail business acres per town 4) CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5) NOX: nitric oxides concentration (parts per 10 million) [parts/10M] 6) RM: average number of rooms per dwelling 7) AGE: proportion of owner-occupied units built prior to 1940 8) DIS: weighted distances to five Boston employment centres 9) RAD: index of accessibility to radial highways 10) TAX: full-value property-tax rate per $10,000 [$/10k] 11) PTRATIO: pupil-teacher ratio by town 12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13) LSTAT: % lower status of the population

Output variable: 1) MEDV: Median value of owner-occupied homes in $1000's [k$]

Source

StatLib - Carnegie Mellon University

Relevant Papers

Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. LINK

Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley LINK

--- Original source retains full ownership of the source dataset ---

Median Home Prices

Residential Property Price Index annual weights are presented in terms of the relative importance of the sales values of each Census Metropolitan Area (CMA), building type and construction type. The relative importance is calculated by dividing the weight of each of the six CMAs by the sum of the weights of those six CMAs. The weights correspond to a three-year average of the value of sales of residential properties. Annual weights are available from 2017.

This table contains 204 series, with data for years 1981 - 2010 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (34 items: Canada; Newfoundland and Labrador; St. John's; Newfoundland and Labrador; Atlantic Region ...), New housing price indexes (3 items: Total (house and land);House only; Land only ...), Index base period (2 items: 1992=100;1997=100 ...).

VITAL SIGNS INDICATOR
Rent Payments (EC8)

FULL MEASURE NAME
Median rent payment

LAST UPDATED
January 2023

DESCRIPTION
Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Count 2 (1970)
Form STF1 (1980-1990)
Form SF3a (2000)

U.S. Census Bureau: American Community Survey - https://data.census.gov/
Form B25058 (2005-2021; median contract rent)

Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
1970-2021

CONTACT INFORMATION
vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Rent data reflects median rent payments rather than list rents (refer to measure definition above). American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

1970 Census data for median rent payments has been imputed from quintiles using methodology from California Department of Finance as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

The Toronto Regional Real Estate Board (TRREB), Canadian Real Estate Association (CREA), and other major real estate boards across Canada developed the most advanced and accurate tool to gauge a neighbourhood’s home price levels and trends: the MLS® Home Price Index (MLS® HPI). The MLS® HPI is calculated using a sophisticated statistical model that takes into account a home’s quantitative (e.g., the number of rooms it has) and qualitative (e.g., whether it has a finished basement) features. The MLS® HPI traditionally is less volatile than average and median measures, which can swing dramatically in response to changes in the number of very expensive or inexpensive home sales from one time period to the next. The MLS® HPI is based on the value home buyers assign to various housing attributes, which tend to evolve gradually over time. It therefore provides an “apples to apples” comparison of home prices across the entire country.

This dataset provides information about the number of properties, residents, and average property values for Ladysmith Drive cross streets in El Cajon, CA.

This dataset provides information about the number of properties, residents, and average property values for De Oro Court cross streets in Cerritos, CA.

This dataset provides information about the number of properties, residents, and average property values for Price Street cross streets in Los Angeles, CA.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

This dataset provides information about the number of properties, residents, and average property values for Price Street cross streets in Daly City, CA.

This dataset provides information about the number of properties, residents, and average property values for Price Lane cross streets in Lancaster, CA.

This dataset provides information about the number of properties, residents, and average property values for Price Street cross streets in Nipomo, CA.

Context

This dataset includes the median list price divided by the square footage of a 1-bedroom home for a select number of neighborhoods around the United States.

Content

When available, data includes median price per square foot on a monthly basis between January 2010 and September 2016.

Selected neighborhoods include:

• Upper East Side, New York, NY
• Spring Valley, Las Vegas, NV
• Hollywood, Los Angeles, CA
• Williamsburg, New York, NY
• Harlem, New York, NY
• Enterprise, Las Vegas,NV
• Downtown, San Jose, CA
• Sheepshead Bay, New York, NY
• Forest Hills, New York, NY
• Jackson Heights, New York, NY
• Gramercy, New York, NY
• Flagami, Miami, FL
• Downtown, Memphis, TN
• Chelsea, New York, NY
• Oak Lawn, Dallas, TX
• Greater Uptown, Houston, TX
• South Loop, Chicago, IL
• Makiki-Lower Punchbowl-Tantalus, Honolulu, HI
• Downtown, Los Angeles, CA
• Capitol Hill, Seattle, WA
• Clinton, New York, NY
• Alexandria West, Alexandria, VA
• Financial District, New York, NY
• Flatiron District, New York, NY
• Landmark-Van Dom, Alexandria, VA
• Flamingo Lummus, Miami Beach, FL
• Winchester, Las Vegas, NV
• Brickell, Miami, FL
• Waikiki, Honolulu, HI
• Back Bay, Boston, MA
• Sutton Place, New York, NY
• and several others

Inspiration

• What neighborhoods have the most expensive real estate per square foot? Least expensive?
• Which neighborhoods and/or cities have the fastest growth rates in price?
• Are there any neighborhoods that remain relatively steady in price?
• Given that this metric is listing price per square foot, is there a similar dataset that could help you compare median square footage in a 1-bedroom home across neighborhoods?

Acknowledgement

This dataset is part of Zillow Data, and the original source can be found here, under the Neighborhoods link.