Donuka offers a simple, reliable property data solution to power innovation and create seamless business solutions for companies of all sizes. Our data covers more than 37 million properties spread out across the U.S. that can be accessed in bulk-file format or through our APIs.

We offer access to data ONLY in selected states and counties

DATA SOURCES:

1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

DATA TYPES:

1. Specifications
2. Owners
3. Permits
4. Sales
5. Inspections
6. Violations
7. Assessed values
8. Taxes
9. Risks
10. Foreclosures
11. Property Tax Liens
12. Deed Restrictions

NUMBERS:

1. 2300+ data sources in total
2. 4 billion records (listed in the "data types" block above) in total
3. 2 million new records every day

DATA USAGE:

1. Property check, investigation (even the smallest events are stored in our database)
2. Prospecting (more than 100 parameters to find the required records)
3. Tracking (our data allows us to track any changes)

Commercial valuation data collected and maintained by the Cook County Assessor's Office, from 2021 to present. The office uses this data primarily for valuation and reporting. This dataset consolidates the individual Excel workbooks available on the Assessor's website into a single shared format. Properties are valued using similar valuation methods within each model group, per township, per year (in the year the township is reassessed). This dataset has been cleaned minimally, only enough to fit the source Excel workbooks together - because models are updated for each township in the year it is reassessed, users should expect inconsistencies within columns across time and townships. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. This data is property-level. Each 14-digit key PIN represents one commercial property. Commercial properties can and often do encompass multiple PINs. Additional notes: Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time. Data will be updated yearly, once the Assessor has finished mailing first pass values. If users need more up-to-date information they can access it through the Assessor's website. The Assessor's Office reassesses roughly one third of the county (a triad) each year. For commercial valuations, this means each year of data only contain the triad that was reassessed that year. Which triads and their constituent townships have been reassessed recently as well the year of their reassessment can be found in the Assessor's assessment calendar. One KeyPIN is one Commercial Entity. Each KeyPIN (entity) can be comprised of one single PIN (parcel), or multiple PINs as designated in the pins column. Additionally, each KeyPIN might have multiple rows if it is associated with different class codes or model groups. This can occur because many of Cook County's parcels have multiple class codes associated with them if they have multiple uses (such as residential and commercial). Users should not expect this data to be unique by any combination of available columns. Commercial properties are calculated by first determining a property’s use (office, retail, apartments, industrial, etc.), then the property is grouped with similar or like-kind property types. Next, income generated by the property such as rent or incidental income streams like parking or advertising signage is examined. Next, market-level vacancy based on location and property type is examined. In addition, new construction that has not yet been leased is also considered. Finally, expenses such as property taxes, insurance, repair and maintenance costs, property management fees, and service expenditures for professional services are examined. Once a snapshot of a property’s income statement is captured based on market data, a standard valuation metric called a “capitalization rate” to convert income to value is applied. This data was used to produce initial valuations mailed to property owners. It does not incorporate any subsequent changes to a property’s class, characteristics, valuation, or assessed value from appeals.Township codes can be found in the legend of this map. For more information on the sourcing of attached data and the preparation of this datase

The US Commercial Property/Real Estate file has 30 million+ non-residential properties which include property characteristics, site details, purchase details, tax details, and ownership information.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q3 2024 about real estate, commercial, rate, and USA.

The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data is estimated using CoStar Realty Information, Inc. building stock data. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

This table contains information about commercial properties including number of stories, elevators, exterior wall type, floor type and roof type for commercial properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

SafeGraph Places provides baseline location information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying coverage and properties depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

Germany Commercial Property Market Index: 127 Cities data was reported at 127.680 1990=100 in 2019. This records an increase from the previous number of 123.710 1990=100 for 2018. Germany Commercial Property Market Index: 127 Cities data is updated yearly, averaging 101.500 1990=100 from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 127.680 1990=100 in 2019 and a record low of 93.330 1990=100 in 2004. Germany Commercial Property Market Index: 127 Cities data remains active status in CEIC and is reported by Bulwiengesa AG. The data is categorized under Global Database’s Germany – Table DE.EB004: Property Market Index.

Germany Commercial Property Market Index: WG: 49 Cities: Average Retail Rent: Suburban data was reported at 166.760 1975=100 in 2019. This records an increase from the previous number of 166.010 1975=100 for 2018. Germany Commercial Property Market Index: WG: 49 Cities: Average Retail Rent: Suburban data is updated yearly, averaging 143.580 1975=100 from Dec 1975 (Median) to 2019, with 45 observations. The data reached an all-time high of 192.090 1975=100 in 1993 and a record low of 100.000 1975=100 in 1975. Germany Commercial Property Market Index: WG: 49 Cities: Average Retail Rent: Suburban data remains active status in CEIC and is reported by Bulwiengesa AG. The data is categorized under Global Database’s Germany – Table DE.EB004: Property Market Index.

 Primary Parcel file containing primary owner and land information; Addn file containing drawing vectors for dwelling records; Additional Address file containing any additional addresses that exist for a parcel; Assessment file containing assessed value-related data; Appraisal file containing appraised value-related data; Commercial file containing primary commercial data; Commercial Apt containing commercial apartment data; Commercial Interior Exterior data Dwelling file Entrance data containing data from appraisers' visits; Other Buildings and Yard Improvements Sales File Tax Rate File for the current billing cycle by taxing district authority and property class; and, Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included: Data Dictionary PDF; and, St Louis County Rate Book for the current tax billing cycle.

Commercial Real Estate Prices for United States was -10.47280 % Chg. from Yr. Ago in July of 2024, according to the United States Federal Reserve. Historically, Commercial Real Estate Prices for United States reached a record high of 16.13922 in April of 2006 and a record low of -30.24535 in October of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Commercial Real Estate Prices for United States - last updated from the United States Federal Reserve on July of 2025.

Germany Commercial Property Market Index: 127 Cities: Average City Centre Office Rent data was reported at 114.360 1990=100 in 2019. This records an increase from the previous number of 107.870 1990=100 for 2018. Germany Commercial Property Market Index: 127 Cities: Average City Centre Office Rent data is updated yearly, averaging 89.865 1990=100 from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 114.360 1990=100 in 2019 and a record low of 79.810 1990=100 in 2005. Germany Commercial Property Market Index: 127 Cities: Average City Centre Office Rent data remains active status in CEIC and is reported by Bulwiengesa AG. The data is categorized under Global Database’s Germany – Table DE.EB004: Property Market Index.

Graph and download economic data for Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks (DRCRELEXFACBS) from Q1 1991 to Q1 2025 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

Commercial Property Price Index: YoY: Semarang Municipality: Retail: Leased data was reported at 0.305 % in Mar 2020. This records an increase from the previous number of -1.780 % for Dec 2019. Commercial Property Price Index: YoY: Semarang Municipality: Retail: Leased data is updated quarterly, averaging -0.119 % from Mar 2017 (Median) to Mar 2020, with 13 observations. The data reached an all-time high of 1.632 % in Sep 2018 and a record low of -2.227 % in Sep 2019. Commercial Property Price Index: YoY: Semarang Municipality: Retail: Leased data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Indonesia Premium Database’s Construction and Properties Sector – Table ID.EF003: Commercial Property Price Index: YoY.

Retail properties had the highest capitalization rates in the United States in 2023, followed by offices. The cap rate for office real estate was **** percent in the fourth quarter of the year and was forecast to rise further to **** percent in 2024. Cap rates measure the expected rate of return on investment, and show the net operating income of a property as a percentage share of the current asset value. While a higher cap rate indicates a higher rate of return, it also suggests a higher risk. Why have cap rates increased? The increase in cap rates is a consequence of a repricing in the commercial real estate sector. According to the National NCREIF Property Return Index, prices for commercial real estate declined across all property types in 2023. Rental growth was slow during the same period, resulting in a negative annual return. The increase in cap rates reflects the increased risk in the investment environment. Pricing uncertainty in the commercial real estate sector Between 2014 and 2021, commercial property prices in the U.S. enjoyed steady growth. Access to credit with low interest rates facilitated economic growth and real estate investment. As inflation surged in the following two years, lending policy tightened. That had a significant effect on the sector. First, it worsened sentiment among occupiers. Second, it led to a decline in demand for commercial spaces and commercial real estate investment volumes. Uncertainty about the future development of interest rates and occupier demand further contributed to the repricing of real estate assets.

China Property Price: YTD Avg: Commercial Bldg: Existing House: Overall data was reported at 8,550.513 RMB/sq m in Mar 2025. This records a decrease from the previous number of 8,738.992 RMB/sq m for Feb 2025. China Property Price: YTD Avg: Commercial Bldg: Existing House: Overall data is updated monthly, averaging 8,677.458 RMB/sq m from Jan 2006 (Median) to Mar 2025, with 230 observations. The data reached an all-time high of 10,824.073 RMB/sq m in Mar 2019 and a record low of 4,227.000 RMB/sq m in Jun 2006. China Property Price: YTD Avg: Commercial Bldg: Existing House: Overall data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Price – Table CN.PD: NBS: Property Price: Commercial Building: Monthly.

Comprehensive dataset of 1,980 Commercial real estate inspectors in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Extract of Cambridge Assessing Department on-line property database file for FY2016, FY2017, FY2018, FY2019, FY2020, FY2021, FY2022, and FY2023. Contains residential, condo, commercial and exempt data. Please see attached Cambridge Property Data Metadata for field descriptions. Please refer to Cambridge's property database website for official assessment data: https://www.cambridgema.gov/propertydatabase

The US office real estate market, while facing headwinds from remote work adoption, demonstrates resilience and ongoing growth. The market size, estimated at $1.5 trillion in 2025, is projected to experience a compound annual growth rate (CAGR) exceeding 4% through 2033, driven by several key factors. Increased urbanization and population growth in major metropolitan areas fuel demand for office space, especially in sectors like Information Technology (IT and ITES), Manufacturing, and BFSI (Banking, Financial Services, and Insurance). Furthermore, the ongoing expansion of consulting firms and other service-based industries continues to contribute to this demand. However, the market faces challenges from evolving work models, with hybrid and remote work arrangements impacting overall occupancy rates. Technological advancements are also transforming the office landscape, pushing for more efficient and technologically advanced spaces, driving demand for renovations and new construction. Major players like Hitt Contracting, Kiewit Corporation, and others are navigating these trends, adapting their strategies to meet the changing needs of their clients. The market segment breakdown will likely reflect the ongoing growth in tech and service sectors, while traditional industries continue to hold significant shares, albeit with potentially slower growth rates. Regional differences will persist, with major metropolitan areas such as New York, Los Angeles, Chicago, and San Francisco likely continuing to dominate the market, but secondary and tertiary markets may experience slower, yet steady growth based on local economic conditions. The long-term forecast anticipates sustained growth, albeit at a potentially moderated pace, due to the evolving work landscape. Strategic investments in building renovations, advanced technologies, and flexible lease agreements are crucial for navigating the market's dynamics. The competition among major players will remain intense, with emphasis on providing value-added services and adapting to tenant preferences. Geographic diversification will be key for companies to mitigate risk and capitalize on growth opportunities across different regions. The successful firms will leverage data analytics, sustainability initiatives, and a deep understanding of tenant needs to thrive in this dynamic and evolving market. This comprehensive report provides an in-depth analysis of the USA office real estate industry, covering the period from 2019 to 2033. It offers invaluable insights into market size, segmentation, trends, and future growth projections, encompassing key sectors like Information Technology (IT and ITES), Manufacturing, BFSI (Banking, Financial Services, and Insurance), Consulting, and Other Services. With a focus on the estimated year 2025 and a forecast period extending to 2033, this report is essential for investors, developers, and industry professionals seeking to navigate the complexities of this dynamic market. The report utilizes a base year of 2025, with a historical period spanning 2019-2024 and a forecast period of 2025-2033. This detailed analysis leverages high-search-volume keywords, like commercial real estate, office space, USA office market, real estate investment trusts (REITs), and office leasing, to ensure maximum online visibility. Key drivers for this market are: Increasing Disposable Income and Middle-Class Expansion, Increased Awareness of Roofing Solutions. Potential restraints include: The presence of counterfeit or substandard roofing materials in the market poses a significant challenge, The roofing industry faces a shortage of skilled labor. Notable trends are: Increase in Leasing Volumes.

Graph and download economic data for Commercial Real Estate Prices for Brazil (COMREPBRQ159N) from Q1 2005 to Q4 2024 about Brazil, real estate, commercial, and rate.