Total number of businesses and establishments within the defined trade area over the past eight quarters. Business growth or contraction is a reflection of the economic conditions for a particular area. Areas experiencing an increase in new businesses or businesses moving into an area suggest favorable economic conditions. Business unit estimates from the three U.S. agencies (U.S. Census, Bureau of Labor Statistics, U.S. Postal Service) are analyzed in a sophisticated mathematical process that correlates the three databases. The end result is a single workplace estimate for each market. The estimate is then expanded to the current quarterly timeframe using ZIP+4 postal data and historical averages. This is done at the market level, not at the national level. Workplace estimates are more relevant for market research purposes when they are analyzed down to the local level.

Map locations for competition and other businesses by name and business category.

Historical counts and forecasts of number of households in an area.

Household size describes the number of people living in a typical home, including children, parents, grandparents, and any other long-term residents that may live in a single home.

Median and average household income alongside number of households per income bracket.

Population residing in single-family or multi-family homes.

Quarterly historical total number of employees (often referred to as daytime population). Daytime population is a key metric for understanding the density of an area during the day. Many businesses, like fast casual restaurants, need a strong daytime population to draw from to assist with store revenue. Growth or decline of employee populations over time can indicate whether a "daytime" market seems to have room to grow or is actually in decline.

Population broken down by ethnicity. Ethnicity illustrates the diversity of an area of an area and can assist businesses and potential businesses in understanding the potential demand for products and services, therefore allowing retailers to target their offerings to the consumer pool.

Gender distribution forecasted over the next 10 years. Retailers have an interest in understanding the gender makeup of an area due to the differences in how men and women approach shopping. With this insight, they can better customize and appeal to both sets of consumers. Gender estimates are determined through a traditional cohort survival analysis using data from the U.S. Census, National Center for Health Statistics, and National Center for Education Statistics.

Weekly Per Capita Consumer spending within the location's trade area by category.