EValuate is a unique approach to state-based policy analysis developed by Atlas Public Policy in coordination with state government agencies. The tools give a large, comprehensive relational database to inform program development and evaluation. This data-driven approach to policymaking empowers agencies with decision-relevant information quickly and helps them tell compelling stories to their audiences.

We’ll do our best to make the datasets we collect for EValuate downloadable because we believe publicly available data should be accessible. To that end, we’re prioritizing the sharing of our work on electric vehicle registration data from state departments of motor vehicles. We know this is one of the most valuable datasets in the transportation electrification space and we think the data should be accessible to all. 

Below is EValuate for the states of New York and Connecticut. If you’re interested in creating an EValuate for your state, send an email to support@atlasevhub.com.

States We’re Working with on EValuate


Launch the dashboard by clicking the image above.

EValuateNY demonstrates the value of using data to gain insights into the effectiveness of public policies and activities. Working with the New York State Energy Research and Development Authority (NYSERDA), Atlas uses EValuateNY to better understand the rapidly evolving electric vehicle market throughout New York. EValuateNY is a unique approach to policy analysis, using readily available software, Microsoft Power BI and Excel. The tool assembles several categories of information related to the electric vehicle market and equips users with the ability to gain insights and create compelling visuals quickly. The tool is also designed to be easily updateable, so its value is growing over time. In 2016, Atlas worked with NYSERDA to promote the value of EValuateNY through a blog series on The Energy Collective. You can download EValuateNY from NYSERDA’s website here or from the EV Hub SharePoint site.

  • Explore datasets on demographics, infrastructure, and vehicles at a local level to gain insights quickly.

  • Download raw data like state DMV registrations.

  • Datasets presented in dashboards are automatically updated whenever possible. 


Atlas used EValuateCT as the foundation of the Transportation Electrification Toolkit, a product to help Connecticut municipalities develop strategies to encourage transportation electrification through the pairing of electric vehicles and residential solar photovoltaic systems and electric shared-use mobility solutions. The toolkit consists of summaries of each transportation electrification concept, a case study of the concept from outside Connecticut, and potential approaches to deploy the concept for policymakers. The toolkit also consists of a resource library and interactive data dashboards that provide quick access to relevant information on transportation electrification in Connecticut. You can explore the Transportation Electrification Toolkit on Atlas’s website here.

  • Explore datasets on demographics, infrastructure, and vehicles at a local level to gain insights quickly.

  • Download raw data like state DMV registrations.

  • Datasets presented in dashboards are automatically updated whenever possible. 

Launch the dashboard by clicking the image above.

State Electric Vehicle Registration Data

One of the objectives of the Atlas EV Hub is to demonstrate the effectiveness of collaboration. We believe that through crowdsourcing and other data sharing practices, organizations can be more effective by spending their time on consuming and interpreting data rather than collecting it.

Public policy professionals should have access to electric vehicle registration data in a way that protects privacy and enables effective public policies and programs

Data on electric vehicle registrations is the single-most requested piece of data we get for the EV Hub. Good public policy on transportation electrification demands that we know where the vehicles are located and how that’s changing over time. With this in mind, we’re working with local stakeholders nationwide to identify a process to collect this information in a way the protects privacy and share it publicly. 

You’ll need access to the EV Hub in order to participate in this effort; if you’re interested in helping out, please send an email to support@atlasevhub.com.

“We participate in this effort because we believe easy access to vehicle registration is essential to our program design and evaluation.”

Adam Ruder, New York State Energy Research and Development Authority


About the Electric Vehicle Registration Data Format

With the sharing of these data, we have to balance the (potentially competing) needs to make the data accessible, consistent across states, and flexible. States are not consistent in how they can share these data, so we’re not able to make the datasets completely apples-to-apples.

Vehicle Identification Number

We can sometimes share part of the vehicle identification number (VIN) for an individual registration. In other cases, the state DMV interprets the VINs before sharing the data.

For the EV Hub, we’ll only post the first eight to eleven digits of the VIN to avoid sharing anything that could be considered personably identifiable. The VIN is the most reliable way to make sure you’re interpreting the vehicle registration correctly: is it a conventional version of a vehicle or the electric version? So, we give you part of the VIN data directly along with our VIN decoder, which is a simple table of plug-in electric vehicles available in the United States.

Vehicle Location

Our target audience for the EV Hub are professionals in public policy so we don’t have personally identifiable information like the address of a vehicle. Instead, we aggregate the total number of vehicles by make and model to the ZIP code level.

Time Series and Vehicle Registration Dates

Vehicle registration datasets are typically snapshots in time of the vehicles “on the road” in a state. Thus, we need multiple snapshots to piece together changes in the market over time. We also need the complete VIN in order to determine when the vehicle first entered the state’s market (new or imported from elsewhere). That is, the first time it appears in the database, we consider it an “original” registration and subsequent occurrences of that VIN are treated as a “renewal” registration. If we don’t have the full VIN, then we can’t reliably track metrics like original or renewal registrations unless the DMV shares that information directly.

Regarding time series analyses, we’ll ideally get snapshots of the vehicle registration database frequently enough to be able to understand how the market has changed over time. With each state vehicle registration data file, we include a table describing the DMV snapshots to make it easier to interpret the data.

Some states aren’t able to share these snapshots frequently or they don’t share the vehicle’s registration date. For states where we don’t know the vehicle registration date, we’ll assign the registration date to the day the snapshot was taken or delivered to us.