The appraised value of free residential real estate increased in Spain between 2015 and 2022. Free housing refers to real estate raised to public deed before a notary and not subject to any public protection regime. In the first quarter of 2022, the appraised square meter price of residential real estate was 1,734 euros.

Graph and download economic data for Total Revenue for Real Estate, Establishments Subject to Federal Income Tax (REV531TPSA) from Q4 2012 to Q4 2024 about revenue, real estate, establishments, tax, federal, income, and USA.

The foreclosure rate in the United States has experienced significant fluctuations over the past two decades, reaching its peak in 2010 at 2.23 percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to 0.11 percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at 0.23 percent but remained well below historical averages, indicating a relatively stable housing market. Impact of economic conditions on foreclosures The foreclosure rate is closely tied to broader economic trends and housing market conditions. During the aftermath of the 2008 financial crisis, the share of non-performing mortgage loans climbed significantly, with loans 90 to 180 days past due reaching 4.6 percent. Since then, the share of seriously delinquent loans has dropped notably, demonstrating a substantial improvement in mortgage performance. Among other things, the improved mortgage performance has to do with changes in the mortgage approval process. Homebuyers are subject to much stricter lending standards, such as higher credit score requirements. These changes ensure that borrowers can meet their payment obligations and are at a lower risk of defaulting and losing their home. Challenges for potential homebuyers Despite the low foreclosure rates, potential homebuyers face significant challenges in the current market. Homebuyer sentiment worsened substantially in 2021 and remained low across all age groups through 2024, with the 45 to 64 age group expressing the most negative outlook. Factors contributing to this sentiment include high housing costs and various financial obligations. For instance, in 2023, 52 percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

Dataset

This dataset was created by zeynab khorshidi

Contents

United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax, Employer Firms was 185487.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax, Employer Firms reached a record high of 185487.00000 in January of 2022 and a record low of 54671.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax, Employer Firms - last updated from the United States Federal Reserve on March of 2025.

United States - Total Revenue for Real Estate Property Managers, Establishments Subject to Federal Income Tax, Employer Firms was 105235.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Real Estate Property Managers, Establishments Subject to Federal Income Tax, Employer Firms reached a record high of 105235.00000 in January of 2022 and a record low of 42950.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Real Estate Property Managers, Establishments Subject to Federal Income Tax, Employer Firms - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Total Expense for Real Estate and Rental and Leasing, Establishments Subject to Federal Income Tax, Employer Firms (DISCONTINUED) (EXPEF53TAXABL) from 2010 to 2012 about employer firms, accounting, leases, rent, real estate, establishments, tax, expenditures, services, and USA.

This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

Purpose

This dataset has been published by the City Treasurer of the City of Virginia Beach and data.vbgov.com. The mission of data.vbgov.com is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.

Access constraints

The data is publicly available and accessible.

Use constraints

By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs, as well as the terms and conditions described in the “Terms of Use” on the “About this Site” page.

The City of Virginia Beach makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one’s own risk. Applications using data supplied by this site must include the following disclaimers on their sites:

“The data made available here has been modified for use from its original source, which is the City of Virginia Beach. Neither the City of Virginia Beach nor the Office of the Chief Information Officer (CIO) makes any claims as to the completeness, timeliness, accuracy or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the web feed is being used at one’s own risk.” As found in the “Terms of Use” on the “About this Site” page.

Point of Contact

City Treasurer’s Office

Donnah Perry, Deputy Treasurer for Real Estate

757-385-8258

vbre4you@vbgov.com

Credits

City of Virginia Beach Office of the Chief Information Officer (CIO), data.virginiabeach.com staff

Distribution

Distribution liability: By using data made available through this site, the user agrees to all the conditions started in the following paragraphs, as well as, the terms and conditions described in the “Terms of Use” on the “About this Site” page.

The City of Virginia Beach makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one’s own risk. Applications using data supplied by this site must include the following disclaimers on their sites:

“The data made available here has been modified for use from its original source, which is the City of Virginia Beach. Neither the City of Virginia Beach nor the Office of the Chief Information Officer (CIO) makes any claims as to the completeness, timeliness, accuracy or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the web feed is being used at one’s own risk.” As found in the “Terms of Use” on the “About this Site” page.

Distributed by

data.vbgov.com

2405 Courthouse Dr.

Virginia Beach, VA 23456

Entity

Attributes

Column: Owner Name

Description: This is the primary owner of the parcel. There may be additional owners not listed.

Column: Mail Address

Description: This is the primary owner current mailing address for the parcel.

Column: City/State/Zip

Description: This is the primary owner current mailing address for the parcel.

Column: GPIN

Description: This is the geographical parcel identification number.

Column: Situs Address

Description: This is the physical location of the parcel. The situs address may be blank if the parcel is vacant land.

Column: Property Description

Description: This is the legal property description of the parcel.

Column: District

Description: This is the City of Virginia Beach district in which the parcel is located. There are 10 districts within the city.

Column: Tax Year

Description: This is the tax year in which the real estate taxes were levied and due.

Column: Bill Number

Description: This is the bill number for which taxes are delinquent.

Column: Installment

Description: This is the installment for the bill number. Generally, each bill has two installments

Column: Tax Due

Description: This is total tax due for the specified bill number and installment.

Column: Penalty Due

Description: This is total penalty due for the specified bill number and installment.

Column: Interest Due

Description: This is total interest due for the specified bill number and installment as of the date of extract.

Column: Fee Due

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United States - Total Revenue for Real Estate and Rental and Leasing, Establishments Subject to Federal Income Tax was 3.30000 % Chg. in October of 2021, according to the United States Federal Reserve. Historically, United States - Total Revenue for Real Estate and Rental and Leasing, Establishments Subject to Federal Income Tax reached a record high of 19.60000 in July of 2020 and a record low of -9.60000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Real Estate and Rental and Leasing, Establishments Subject to Federal Income Tax - last updated from the United States Federal Reserve on March of 2025.

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 EUR)

Dataset

This dataset was created by Yash Vichare

Contents

United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax was 2.80000 % Chg. in October of 2021, according to the United States Federal Reserve. Historically, United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax reached a record high of 47.80000 in July of 2020 and a record low of -22.60000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Offices of Real Estate Agents and Brokers, Establishments Subject to Federal Income Tax - last updated from the United States Federal Reserve on March of 2025.

Dataset

This dataset was created by shambhu kumar

Released under Apache 2.0

Contents

In 2023, Poly Real Estate was the most active real estate developer in China, generating a sales revenue of approximately 386 billion yuan. Other leading companies were China Vanke and Greentown China. Real estate market in ChinaWith more than one hundred thousand real estate developers, China's real estate market is ranked among the world’s largest as of 2023, recruiting over 2.45 million employees, and generating revenue from real estate sales that has increased tenfold since 2005. China's real estate market has become a subject of debate for a long time, with the average real estate sale price per square meter in China skyrocketed from 3.8 thousand yuan in 2008 to more than 10 thousand yuan in 2021. However, different regions experienced substantially different price growth trends; as of 2022, Shanghai was the region in China with the highest sales price of real estate, closely followed by the capital, Beijing. Future developmentConsidering the average income in the country, the housing prices in the largest cities are far beyond the affordability of an average household, even in suburb areas. China's central and western provinces had relatively less expansive real estate price. As a matter of fact, housing prices in China grew at a pace parallel to the country's GDP growth rate. The fluctuation of real estate prices is very likely to have a far-reaching impact on China's economic development; although the extremely high real estate prices in some regions of China are expected to fall, a sudden drop of housing prices would set off a chain reaction, leading to devastating consequences for the country's future.

This dataset is about books and is filtered where the book subjects is Real estate business-Data processing, featuring 9 columns including author, BNB id, book, book publisher, and book subjects. The preview is ordered by publication date (descending).

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. Excluding apartments, measured in € Figure changed on the 27/6/16 as revised data received from the Local authority

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 €

This statistic shows the foreclosure filings in the United States as of June 2017, by state. South Dakota had the lowest rate with only one in every 24,583 housing units being subject to foreclosure.

Dataset

This dataset was created by MD. Mehedi Hassan Galib

Contents