Land data analytics is the process of using data and analytics to improve the management of land resources. This can include things such as using data to improve decision-making around land use, to better understand the impact of land use on the environment, or to predict future patterns of land use.


Property level data for residential real estate includes information on the specific characteristics of a property, such as its size, location, and features. This data can be used to help assess the value of a property and compare it to similar properties. Property-level data can be used to compare properties in order to assess risks and to make investment decisions.


Historical data for residential real estate can be used to help predict future trends in the housing market. This data can include things like average prices, sales volume, and other indicators. By analyzing this data, analysts can get a better understanding of where the market is headed and what factors are driving it.


Comparable data are used by a wide variety of individuals and organizations, including investors, financial analysts, and appraisers. They are commonly used in real estate to help determine the value of a particular property or investment. Comparable data are also commonly used by individuals who are looking to buy or sell a home or other property, as they can provide valuable information about market conditions and prices in a particular area.


Real estate comprehensive data analysis can give you a clear and in-depth understanding of your commercial real estate market. The comprehensive data will include property-level data, transaction data, demographic data, and other relevant data to help you identify market trends, pinpoint areas of opportunity, and make more informed decisions about your commercial real estate investment strategies.


Evaluating and interpreting data specific to your needs is crucial to make informed decisions about your commercial investment opportunities in the real estate market. We can provide customized data to identify trends, assess market conditions, and make predictions about future prices. Real estate data can be complex, and it is important to work with an experienced analyst who can help you understand what the data means and how it can be used to make decisions about investing in commercial real estate.

Talk to us.


    Q1. How is the pricing for real estate data?

    We charge $0.23 for every property requested (every line item in the data set). For example, 1,000 land parcels in a zip code or 1,000 residential houses in a zip code, the price would be $230. This rate is only for raw data. 

    Q2. What is the pricing for data analysis and report?

         For our standard reports, we charge a flat fee of $99 per report in addition to the cost of data which is $0.23 per property. For custom reports, it would depend on the nature of the data and analysis requested. 

    Q3. When will I get my data or data analysis report?

         The data and analysis report will be sent to you within 2 business days. 

    Q4. How accurate is the data?

         The data is collected from reputable sources. A significant part of the data also comes from the county, and data accuracy depends on what is provided by the county. 

    Q5. Can I get sample data?

         Absolutely yes. We can provide you with sample data to help get you started. You may see sample data from the “Request Sample data” links. Additionally you may also reach out to us for any specific data you need and we will be happy to provide it. 

    Q6. Can you provide custom data or reports that I need?

         Yes, we can provide custom data or reports that you need. Please contact us to discuss your requirements.  

    Q7. How can I order data?

         You can order data by filling out this form, or you may reach us at