BatchData is a premier data and technology solution helping businesses serving the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate, granular B2C contact and property data for US property owners. Our Property Search API is the engine behind leading PropTech applications, predictive modeling engines, and high-volume sales operations.

With over 300+ unique search filters, we enable developers and data scientists to build highly specific "buy-boxes" and marketing audiences. Whether you are searching for high-equity homes in specific zip codes or identifying commercial properties based on zoning and lot size, BatchData delivers the "ground truth" you need. Visit www.batchdata.io to explore our documentation and start building.

The Power of Granular Search Unlike standard APIs that offer broad, surface-level data, BatchData allows you to query the US real estate market with surgical precision. Our API accepts complex boolean logic, allowing you to layer demographic profiles, mortgage history, and physical building characteristics to surface the exact properties that match your ideal customer profile (ICP).

Key Search Capabilities & Data Attributes Our API response leverages a massive schema of over 124 data points per property. You can search, filter, and retrieve data across these core categories:

1. Distressed Property & Motivated Seller Signals (Quick Lists) Identify off-market opportunities before they hit the MLS. Our API provides pre-calculated flags for immediate actionable intelligence:

Vacancy & Abandonment: Filter by USPS vacancy flags or properties where the mailing address differs from the situs address (Absentee Owners).

Financial Distress: Identify properties with active Notices of Default, Pre-Foreclosure filings, Tax Defaults (3+ years delinquent), or Involuntary Liens (HOA, mechanics, tax liens).

Ownership Fatigue: Target "Tired Landlords" (non-owner occupied, owned for 10+ years) or "Inherited" properties that are ripe for acquisition.

Equity Position: Search by calculated Equity Percentage or Loan-to-Value (LTV) ratios to find owners with high equity (Free & Clear) or low equity depending on your strategy.

1. Detailed Building & Lot Characteristics Go beyond bed/bath counts. Our physical property data is sourced from tax assessors and refined for accuracy:

Structural Details: Search by Construction Type (Masonry, Frame, etc.), Foundation Type, Roof Cover/Type (Gable, Hip, Flat), and Exterior Wall material.

Systems & Features: Filter properties by Air Conditioning Source (Central, Evaporative), Heating Fuel (Gas, Solar), and amenities like Pools, Patios, and Fireplaces.

Lot Intelligence: Access granular Zoning Codes, Topography, Lot Depth/Frontage, and Site Influence data to evaluate development potential.

1. Valuation & Market Analytics Power your underwriting models with our automated valuation metrics:

AVM (Automated Valuation Model): Access estimated market values with accompanying Confidence Scores and Standard Deviation metrics to assess reliability.

Investment Metrics: Utilize estimated Rent Amounts, Flip Profit history, and length of ownership to calculate potential ROI instantly.

1. Advanced Owner Demographics Understand the human element behind the property. Our demographic append allows you to segment properties based on the owner’s profile:

Financial Profile: Filter by Household Income, Net Worth, Discretionary Income, and Creditworthiness indicators.

Household Composition: Search by Marital Status, Presence of Children, Household Size, and Senior Owner status.

Lifestyle Indicators: Access data on interests such as Pet Ownership, Charitable Donations, and Investment activity (Stocks/Bonds, Real Estate).

1. Mortgage & Transaction History Trace the financial history of every rooftop:

Loan Details: Search by Loan Type (Conventional, FHA, VA, Reverse Mortgage), Interest Rate type (Fixed vs. Adjustable), and Lender Name.

Transaction Velocity: Analyze sales history including Prior Sale Price, Document Types (Deed, Quit Claim), and Distressed Transfer flags.

Use Cases for PropTech & Real Estate

For Real Estate Investors & Wholesalers: Automate your lead generation by programming the API to fetch new properties daily that meet your specific "Buy Box" (e.g., "Vacant Single Family Homes, 3+ Beds, Built after 1980, with >40% Equity"). Feed these leads directly into your CRM or cold-calling dialer.

For Home Services & Solar: Stop marketing to renters. Use the API to identify Owner-Occupied Single-Family Residences with specific roof types (e.g., Asphalt Shingle) and high discretionary income. Overlay this with "Old Roof" indicators (based on Year Built and Permit History) to target homeowners ready for replacement or solar upgrades.

For Financial Services & Lenders: Improve your risk models by integrating our Lien and Judgment data. Identify borrowers with "Free and Clear" properties for HELOC offers or target recent "Cash Buy...

Construction labor costs are the development issues that industry experts in the United States expect to have the highest importance in real estate in 2025. Respondents ranked construction labor costs as having an importance score of 4.17 out of five. On the other hand, health and safety related policies are expected to be of the least importance in the industry come 2025.

Industrial real estate achieved the highest annual rental growth in the U.S. commercial real estate sector in the first quarter of 2025. The asking rent for industrial real estate grew by *** percent, while the average effective rent increased by *** percent. The retail sector observed a different trend, with effective rents increasing at a higher rate than asking rents.

In 2025, the estimated value of the global commercial real estate market was over **** trillion U.S. dollars, down from **** trillion U.S. dollars the year before. The North America region had the largest market size, valued at over **** trillion U.S. dollars, slightly higher than Asia-Pacific and Europe, Middle East, and Africa (EMEA). What is the market size of listed commercial real estate? The listed real estate market comprises real estate companies that are traded on stock exchanges and varies across different regions. In 2025, the size of the listed real estate market was about *** trillion U.S. dollars, with the North America region comprising the largest share. Which real estate sector is most popular for investment? Real estate has earned itself a good name as an investment vehicle among Ultra-High-Net-Worth Individuals (UHNWIs). In 2024, some of the real estate sectors increasingly attracting UHNWI’s interest were healthcare and education properties.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q2 2025 about real estate, commercial, rate, and USA.

Commercial Real Estate Prices for United States was -7.01284 % Chg. from Yr. Ago in April of 2025, according to the United States Federal Reserve. Historically, Commercial Real Estate Prices for United States reached a record high of 15.64706 in January of 2005 and a record low of -29.93630 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 August of 2026.

According to a survey from 2022, industrial real estate had the best prospects among commercial properties in the Asia-Pacific region in 2023. Comparatively, retail real estate was predicted to have less than fair prospects in 2023.

Dollar stores with single tenant net leases in the United States had an average cap rate of **** percent as of the fourth quarter of 2024. That made them the property type with the second-highest cap rate. Conversely, convenience stores had a cap rate of *** percent, the lowest among the property types observed. Triple net leases (NNN) are single tenant leases, where in addition to rent and utilities, the tenant is responsible for the additional property expenses, including taxes, insurance, and maintenance. These leases are common for office, retail, industrial, and logistics properties.

Extend targeting beyond residential.

PropertyPlus covers additional property types, vacant land, rental units, and commercial buildings, with ownership records, property characteristics, and valuation insight.

Built for investors, lenders, and real estate professionals seeking new opportunities across millions of parcels nationwide.

Complements the core Real Estate & Property Data file by extending coverage into non-residential property types.

Available for licensing or installation, tailored to your use case and campaign goals.

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

The US Commercial Real Estate market, valued at $1.66 trillion in 2025, shows a projected 2.61% CAGR through 2033. Discover key drivers, trends, and challenges impacting this dynamic sector, including insights on major players like Zumbly, Keller Williams, and Simon Property Group. Explore regional market shares and future growth potential. Key drivers for this market are: Increasing number of startups. Potential restraints include: Low Awareness and Privacy Issues. Notable trends are: Industrial Sector Expected to Record High Demand.

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

Multifamily residential real estate comprised close to ********* of the capital allocated to commercial real estate in the United States in 2025. The U.S. commercial real estate investment market grew in all categories that year. Multifamily investment increased at a slower pace, resulting in a decline in the market share. In addition, data centers were included for the first time. Retail saw a rising market share, while industrial, retail, and hotels saw a decline.

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.

For more information on the sourcing of attached data and the preparation of this datase

Scandinavia Commercial Real Estate Market size was valued to be USD 90 Billion in the year 2024 and it is expected to reach USD 131.96 Billion in 2032, growing at a CAGR of 4.9% over the forecast period of 2026 to 2032.

Key Market Drivers: Sustainability and Green Building Demands: The Nordic commercial sector shows exceptional commitment to sustainability, with Swedish Green Building Council data revealing 74% of new commercial developments achieving LEED or BREEAM certification. Denmark reports a 58% increase in green building investments, while Norway shows 52% of commercial tenants specifically seeking properties with net-zero carbon commitments.

Digital Infrastructure Integration: Smart building technology adoption has surged, with Nordic Property Federation data showing 67% of commercial properties implementing advanced digital solutions

What Makes This Dataset Unique

Not Just Addresses — Occupant Intelligence - Who occupies the property (company name, number, SIC codes) - Owner vs tenant status — instantly know if the occupant owns or rents - Years at address — tenancy stability at a glance - Number of companies registered at the property

Compliance & Risk Data (Competitors Don't Offer) - Companies House compliance — know if tenants meet filing obligations - Disqualified directors linked to the address — risk identification built in - FSA hygiene ratings — critical for hospitality, retail & food sector analysis - Gambling license type — niche sector intelligence

Financial Intelligence at Property Level - Average cost per m² rent — granular rent benchmarking - Business rates (including 2026 revaluation data) - Rental value estimates

Physical Property Characteristics - Number of floors & floor levels including basement detection - Location size in m² - Internal space breakdown (m² by use type) — room-level intelligence - Seating capacity — perfect for hospitality & leisure

Linked Data Ecosystem Doorda isn't just commercial property. We link to: - 34M+ residential addresses - 16M+ UK businesses with company director data - 2.2M+ postcodes with geodemographic & vulnerability data - Population and deprivation indices

All from 320+ trusted data sources, refreshed from daily.

155M U.S. property records with ownership, valuation, assessment, and characteristic data. Residential + commercial across all 50 states, including HI, MT, WI.

The European commercial real estate market is booming, projected to reach $443 billion by 2033 with a CAGR of 6.08%. Discover key trends, market segments (office, retail, industrial), leading companies, and regional insights in this comprehensive analysis. Invest wisely in this lucrative market.

Global Commercial Real Estate Solution Market is segmented by Product Type (Cloud-based Solutions, On-Premise Solutions, Hybrid Solutions, AI-powered Platforms, IoT-integrated Systems), Application (Property Management, Lease Management, Investment Analysis, Facility Management, Risk Management), End-Use Industry (Office Spaces, Retail Centers, Industrial Parks, Hospitality), Distribution Channel (Direct Sales, Online Platforms, Channel Partners), and Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

Global commercial real estate software market size was worth $26.36 billion in 2024 and is predicted to grow to $49.94 billion by 2034 at a CAGR of 6.60%.