COMPREHENSIVE MARKET ANALYSIS & ECONOMIC IMPACT IN SECONDS
aLocal Development Is Market-Analysis Software Designed To Help You Make Faster Decisions
Get The Market Insight You Need With aLocal Development
Our market analysis software is for businesses, state, federal & tribal governments, real estate development, and more.
Let aLocal Development be your catalyst for streamlined operations and build a sustainable local economy and maximized profit.
Get the market and economic impact insight you need with aLocal Development.
Perform Economic Impact Studies
Streamline Economic Decisions
Prediction of Future Economic Conditions
Reliable Projections of Industry Trends
Regional Breakdown of Data at the Zip Code Level
NAICs demand, revenue, and employee forecasting
Visualize your local economy
Analyze Local ZCTA To Achieve Far-Reaching Results
Analyzing summary categories, based on the 2-digit to 6-digit codes of the North American Industry Classification System (NAICS)
Interpret Today’s Market Demands & Predict Tomorrow’s Consumer Needs
Understand, in real time, the current demand levels for business activity and the future impacts of policy decisions.
Find The Plan & Price That’s Perfect For Your Business & Budget
Determine the right plan for you. We offer free plans and low cost plans. aLocal© wants to empower everyone in the community with easy to access economic data and analysis at a low cost.
Compare Statistical Charts & Geographic Models Of Market Behavior
Our powerful analytics allow you to see, on maps and tables, where there is current economic demand (or not) as well as possible outcomes for future changes in a given community or target market
Real data. Actual analysis. Remarkable results.
That’s the power of aLocal Development.
Secondary US Census Data
aLocal’s statistical model uses secondary US Census data focused on Zip Code Tabulation Areas (ZCTA’s) for variables related to NAICS code summaries regressed to demographic and spatial datasets. These variables are grouped using Principal Component Analysis (PCA) and then re-regressed with the dependent variables and PCA regression variables with eigenvalues greater than 1. Summary analysis is then tested for multicollinearity, and heteroskedasticity where this is treated using additional control variables. The final model is then applied as a predictive formula to existing ZCTA variables.