The table Historical Property 03 is part of the dataset Cotality Smart Data Platform: Historical Property, available at https://stanford.redivis.com/datasets/e9sx-cn4k3cyva. It contains 152841806 rows across 220 variables.

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.

This is a sample dataset. To access the full version or request any custom dataset tailored to your needs, contact DataHive at contact@datahive.ai. This free trial dataset contains high-resolution Matterport panoramic image data extracted from 500 residential properties located in the US. Each property is paired with structured metadata - including geolocation, square footage, pricing, and structural details - and between dozens and over a thousand 360° interior panoramas. These images provide… See the full description on the dataset page: https://huggingface.co/datasets/datahiveai/Matterport-Panoramic-Property-Dataset.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

The table Historical Property 04 is part of the dataset Cotality Smart Data Platform: Historical Property, available at https://stanford.redivis.com/datasets/e9sx-cn4k3cyva. It contains 151968692 rows across 220 variables.

Residential property values by type of property for Canada, provinces and territories, annual data from 2005 to today.

The Zoopla Dataset provides a detailed repository of information covering property listings available on the Zoopla platform. Tailored to support businesses, researchers, and analysts in the real estate sector, this dataset delivers valuable insights into market trends, property valuations, and consumer preferences within the real estate market.

With key attributes such as property details, pricing data, location information, and listing history, users can conduct thorough analyses to refine property investment strategies, assess market demand, and identify emerging trends.

Whether you're a real estate agent seeking to enhance your property listings, a researcher investigating trends in the housing market, or an analyst aiming to refine investment strategies, the Zoopla Dataset serves as an essential resource for unlocking opportunities and driving success in the competitive landscape of real estate

This statistic shows the average property price in the United States in 2011, by property type. Damaged REOs cost an average of ******* U.S. dollars in the U.S. that year. The abbreviation REO stands for real estate owned properties.

According to Cognitive Market Research, The Global Property Management Service market was estimated at USD 14.5 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 7.8% from 2023 to 2030. Rising Demands for SaaS-based Property Management Software to Expand Market Penetration

Subscription-based SaaS solutions benefit companies of all sizes. Businesses increasingly use SaaS solutions to optimize operations by automating workflows and removing manual input. Businesses can also lower the cost and complexity of on-premises deployment by installing SaaS solutions. SaaS software assists large multifamily property management organizations integrate several technologies across their portfolio. In addition, the SaaS model is crucial for multi-vendor device compatibility with legacy systems.

For instance, Planon collaborated with AddOnn in March 2021 to combine AddOnn's SaaS solution with Planon's software platform for building and service digitalization to provide end-to-end solutions to end-users worldwide.

(Source:planonsoftware.com/uk/news/planon-and-addonn-launch-partnership-with-introduction-of-mobile-cleaning-solution/)

Employees in real estate organizations rely on up-to-date information to make vital decisions. SaaS systems allow users to access information from any location and device with internet connectivity. A SaaS platform can help property managers link their property solutions with sophisticated payment services for quick and easy transactions.

Evolving Trends of Workforce Mobility to Strengthen Market Share

Many employees nowadays prefer to work from home rather than in offices, corporate headquarters, or a global company branch. This contributes to the need for flexible access to office resources and data. Besides, organizations are using virtual workplaces to reduce their physical infrastructure requirements to a bare minimum, allowing them to be more flexible and use their office space better. Many businesses seek mobility, workplace, and other integrated facility management solutions. This enables property managers to retain productivity while working with a huge crew. These solutions can be used by associated real estate agents & property managers to maintain track of all the properties they manage and the routine maintenance that needs to be performed on them. As a result, the rising trend of workplace mobility is propelling the property management service industry forward.

For instance, Entrata Inc. reported the integration of Alexa with residential buildings in April 2021. This integration would enable property managers to monitor or set up Alexa-enabled devices in each unit, allowing them to create voice-controlled automated homes.

(Source:www.prnewswire.com/news-releases/entrata-enables-alexa-experience-at-scale-with-amazons-alexa-for-residential-301263114.html)

Market Dynamics of Property Management Service

Integration Complexity and Data Security Concerns to Limit Market Growth

One significant restraint property management software services face is the complexity of integrating with existing systems and databases. Many property management companies already have established tools for accounting, tenant communication, maintenance tracking, and more. Implementing new software solutions can lead to compatibility challenges and difficulties in transferring data seamlessly. Furthermore, as property management software handles sensitive information such as tenant details, financial records, and property documents, ensuring robust data security becomes critical. Any breaches or unauthorized access can lead to legal consequences, financial losses, and company reputation damage.

Impact of COVID-19 on the Property Management Service Market

The COVID-19 pandemic significantly impacted the property management service market, introducing shifts in tenant behavior, remote work trends, and economic uncertainties that prompted property managers to adapt their strategies. Lockdowns and travel restrictions decreased demand for short-term rentals, while remote work trends increased the significance of property amenities and flexible leasing options. Property managers incorporated virtual tours, contactless services, and enhanced sanitation measures to address safety concerns. Moreover, the pandemic accelerated the adoption of proptech solutions for remote property monitoring and digital communication, reshap...

Transfer of ownership of industrial property

This dataset represents real property information within a parcel of land in the City of Baltimore.

This dataset represents real estate assessment and sales data that is updated on a quarterly basis by the Real Estate Assessor’s Office. This dataset contains information for properties in the city including: Acreage, Square footage, GPIN, Street Address, year built, current land value, current improvement values, and current total value. The information is obtained from Real Estate Assessor’s Office ProVal records database.

This City Owned Property data has been compiled from deeds, maps, assessor records, and other public records on file in the City of Hartford. The intent of this data layer is to depict a graphical representation of real property information relative to the planimetric features for the City of Hartford and is subject to change as a more accurate survey may disclose.

Graph and download economic data for Real Residential Property Prices for Euro area (QXMR628BIS) from Q1 1975 to Q1 2025 about Euro Area, Europe, residential, HPI, housing, real, price index, indexes, and price.

LiveOverture is a reputable property data solutions provider that offers a wealth of information on property listings, market trends, and real estate data. The company's online presence provides insights into the property market, featuring thousands of listings, property sales data, and market analysis.

By leveraging LiveOverture's online resources, users can gain a deeper understanding of property values, trends, and market conditions, making it an invaluable resource for real estate professionals, investors, and individuals looking to buy, sell, or rent properties.

This records the location and type of Royal Borough's property assets

The NIST Clathrate Hydrate Physical Property Database contains data from two resources: the Thermophysical Properties of Gas Hydrates Database maintained by NIST and the Web-based Mallik Database from the Geological Survey of Canada . The Thermophysical Properties of Gas Hydrates Database contains thermophysical property data for gas hydrates taken from the archival literature. The data has all been evaluated for consistency by an expert in the field and is stored with complete reference information. This archive is intended to store ALL of this type of data available in published form. Maintenance of this database is an ongoing process and the archive grows continuously as new data becomes available. The Mallik Database contains observations from wells at the Mallik gas hydrate field in Canada.

According to Cognitive Market Research, the global Property Management market size will be USD 27812.8 million in 2025. It will expand at a compound annual growth rate (CAGR) of 8.80% from 2025 to 2033.

North America held the major market share for more than 40% of the global revenue with a market size of USD 10290.74 million in 2025 and will grow at a compound annual growth rate (CAGR) of 6.6% from 2025 to 2033.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 8065.71 million.
APAC held a market share of around 23% of the global revenue with a market size of USD 6675.07 million in 2025 and will grow at a compound annual growth rate (CAGR) of 10.8% from 2025 to 2033.
South America has a market share of more than 5% of the global revenue with a market size of USD 1056.89 million in 2025 and will grow at a compound annual growth rate (CAGR) of 7.8% from 2025 to 2033.
The Middle East had a market share of around 2% of the global revenue and was estimated at a market size of USD 1112.51 million in 2025. It will grow at a compound annual growth rate (CAGR) of 8.1% from 2025 to 2033.
Africa had a market share of around 1% of the global revenue and was estimated at a market size of USD 611.88 million in 2025 and will grow at a compound annual growth rate (CAGR) of 8.5% from 2025 to 2033.
On-premises category is the fastest growing segment of the Property Management industry

Market Dynamics of Property Management Market

Key Drivers for Property Management Market

Technological Advancements and Automation to Boost Market Growth

The integration of advanced technologies such as Property Management Software (PMS), Internet of Things (IoT), and automation systems is a key driver for the property management market. These technologies streamline operations like lease management, tenant communication, and maintenance scheduling. Automated systems enable property managers to provide better services, ensuring efficiency and improving the tenant experience. For instance, PMS allows for real-time tracking of rental payments, maintenance requests, and communication between tenants and landlords. The rise of IoT enables the implementation of smart building solutions, offering energy efficiency and enhanced security. As more property managers adopt these technologies, operational costs are reduced, tenant satisfaction improves, and the overall management process becomes more seamless.

Growing Urbanization and Real Estate Development To Boost Market Growth

Rapid urbanization and increased real estate development are significant driving forces behind the property management market. As more people move to urban centres for work and lifestyle opportunities, the demand for residential, commercial, and mixed-use properties increases. This surge in population and development leads to a higher need for efficient property management to handle the complexities of large residential complexes, office spaces, and retail properties. With real estate developers focusing on building modern infrastructures, property managers are required to oversee these assets, ensuring everything from tenant relations to property maintenance is handled effectively. Furthermore, urbanization results in higher property values, which incentivizes both individual property owners and businesses to invest in professional property management services.

Restraint Factor for the Property Management Market

High Operational Costs, Will Limit Market Growth

A significant restraining factor in the property management market is the high operational costs associated with maintaining and managing properties. Property managers are often required to deal with expensive maintenance, repairs, insurance, and legal fees. This financial burden can be exacerbated by the need for continuous staff training, property inspections, and compliance with local regulations. The costs associated with technological tools and software for property management also add to the operational expenses. In some cases, property managers may need to pass these increased costs onto tenants, which could lead to reduced demand for rental properties, particularly in competitive or price-sensitive markets.

Key Trends for Property Management Market

Adoption of Cloud-Based and Mobile Property Management Platforms

A notable trend influencing the property management sector is the swift adoption of cloud-base...

Graph and download economic data for Total Revenue for Real Estate Property Managers, All Establishments, Employer Firms (REVEF53131ALLEST) from 2009 to 2022 about management, employer firms, accounting, revenue, establishments, real estate, services, and USA.

Abstract

Title: Cotality Smart Data Platform (SDP): Owner Transfer and Mortgage

The Owner Transfer and Mortgage data covers over 450 million properties, and includes over 50 years of sales history. The tables were generated in June 2024, and cover all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C.

Formerly known as CoreLogic Smart Data Platform: Owner Transfer & Mortgage.

Methodology

In the United States, parcel data is public record information that describes a division of land (also referred to as "property" or "real estate"). Each parcel is given a unique identifier called an Assessor’s Parcel Number or APN. The two principal types of records maintained by county government agencies for each parcel of land are deed and property tax records. When a real estate transaction takes place (e.g. a change in ownership), a property deed must be signed by both the buyer and seller. The deed will then be filed with the County Recorder’s offices, sometimes called the County Clerk-Recorder or other similar title. Property tax records are maintained by County Tax Assessor’s offices; they show the amount of taxes assessed on a parcel and include a detailed description of any structures or buildings on the parcel, including year built, square footages, building type, amenities like a pool, etc. There is not a uniform format for storing parcel data across the thousands of counties and county equivalents in the U.S.; laws and regulations governing real estate/property sales vary by state. Counties and county equivalents also have inconsistent approaches to archiving historical parcel data.

To fill researchers’ needs for uniform parcel data, Cotality collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. Cotality augments this data with information gathered from other public and non-public sources (e.g., loan issuers, real estate agents, landlords, etc.). The Stanford Libraries has purchased bulk extracts from Cotality's parcel data, including mortgage, owner transfer, pre-foreclosure, and historical and contemporary tax assessment data. Data is bundled into pipe-delimited text files, which are uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see Cotality 2024 GitLab.

Usage

The Owner Transfer and Mortgage data covers over 450 million properties, and includes over 50 years of sales history. The tables were generated in June 2024, and cover all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C. The Owner Transfer data provides historical information about property sales and ownership-related transactions, including full, nominal, and quitclaim transactions (involving a change in title/ownership). It contains comprehensive property and transaction information, such as property characteristics, current ownership, transaction history, title company, cash purchase/foreclosure/resale/short sale indicators, and buyer information.

The Mortgage data provides historical information at the mortgage level, including purchase, refinance, equity, as well as details associated with each transaction, such as lender, loan amount, loan date, interest rate, etc. Mortgage details include mortgage amount, type of loan (conventional, FHA, VHA), mortgage rate type, mortgage purpose (cash out first, consolidation, standalone subordinate), mortgage ARM features, and mortgage indicators such as fixed-rate, conforming loan, construction loan, and private party. The Mortgage data also includes subordinate mortgage types, rate details, and lender details (NMLS ID, Loan Company, Loan Officers).

The Property, Mortgage, Owner Transfer, Historical Property and Pre-Foreclosure data can be linked on the CLIP, a unique identification number assigned to each property.

Mortgage records can be linked to a transaction using the MORTGAGE_COMPOSITE_TRANSACTION_ID.

For more information about included variables, please see:

• cotality_sdp_owner_transfer_data_dictionary_2024.txt
• cotality_sdp_mortgage_data_dictionary_2024.txt
• Mortgage_v3.xlsx
• Owner Transfer_v3.xlsx

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For a count of records per FIPS code, please see cotality_sdp_owner_transfer_counts_2024.txt and cotality_sdp_mortgage_counts_2024.txt.

For more information about how the Cotality Smart Data Platform: Owner Transfer and Mortgage data compares to legacy data, please see 2025_Legacy_Content_Mapping.pdf.

Bulk Data Access

Data access is required to view this section.