Established in 1972 as Infogroup, Data Axle is a big data, analytics, and marketing services provider. Data Axle provides both digital and traditional marketing channel expertise drawing on proprietary data collected on millions of U.S. businesses.
Formerly named Infogroup Business USA, this dataset provides establishment-level information on businesses in the United States, at national, state, county, and ZIP code levels. Data on businesses in US territories are also included. Data are collected from multiple sources, including direct calls to businesses. The resource is a comprehensive source of information on small- and medium-sized businesses.
The many indicators included in Data Axle Historical US Business can be viewed as stand-alone trends, charts, or maps in Data Planet. View the listing of indicators opening the Data Axle Reference Solutions: Historical US Business entries in the Browse by Source or Browse by Subject - Industry, Business, and Commerce. For example, the chart below ranks California counties by the number of retail bakeries located in each, using data at the 6-digit NAICS level found in the Industry Detail - Company Count indicator.
Note that you can learn more about the indicator, dataset, and source by viewing the statistical abstract that appears below the chart, as below. These summaries can be exported with the graph by clicking on the Export link in the menu bar above the chart. The Create DOI link allows you to create a DOI that ensures that each time you reference the data in a paper or elsewhere that the reader can view the exact view of the DataSheet at the time you created it. For more information on DOIs, click here.
The unique implementation of Data Axle Historical US Business in Data Planet allows you to compare indicators across industries, states, counties, and zip codes, and to create trends, rankings, and more - so be sure to explore the many options available to do so. To select multiple indicators, use the Compare Datasets option at the top of the Dataset list:
See the examples below and try it yourself with other indicators and geographies. Keep in mind that the graphs you create do not necessarily imply causality: the results may suggest a potential relationship between the variables you select, which may be an interesting line of inquiry for your own research.
Use Data Planet to compare and contrast Data Axle Historical US Business data across geographies. For example, the chart below compares revenue/sales earnings of appliance repair and maintenance industries in two Pennsylvania counties:
The trend below compares revenue/sales earnings of aquaculture vs fishing industries in Maine, 1997-2020.
You can also create charts comparing Historical US Business indicators with other indicators in the Data Planet repository. For example, the chart below ranks Colorado counties with respect to numbers of households with income over $200,000, using data from the American Community Survey, and the numbers of securities firms in the county. Does the data suggest any business opportunities that might be worth further exploration?