U.S. Block Group Data and Forecasts

A comprehensive set of data and forecasts for all 239,000+ census block groups in the U.S.

Before investing in a neighborhood or section of a city, you want to be sure it has sound underlying economic fundamentals. County-level data are useful, but conditions can vary greatly from one end of a county to another—from affluent suburbs to economically challenged sections. Moody’s Analytics has been forecasting county economies since 1990. We are now applying that knowledge to individual block groups to assist our clients in their detailed analysis of neighborhoods, communities, consumers and CRE.

Available as forecasts and a history-only package, the block group databases cover a core set of economic indicators, including demographics, employment, GVA, and income on a granular level. Moody’s Analytics data specialists and economists have developed time series of the most requested indicators, enabling precise analysis at the block group level that is consistent with our county forecasts. We are also providing a long-time series to highlight local trends across business cycles.

Block group data provide flexibility. You can aggregate the data to any geography you need, from standard boundaries to custom areas such as utility service territories or bank branch footprints. This makes the database a powerful tool for aggregating and analyzing data to match your specific market or operational footprint.

Key Features

  • Coverage for all 239,000+ U.S. block groups

  • Key variables for granular economic insight, including population, households and labor force

  • Annual periodicity

  • Forecasts are updated quarterly

  • Historical data are updated when the sources update, with annual periodicity and 10 years of history

  • A transparent methodology allows clients to view the model methodology in the Data Buffet interface

  • Baseline forecast only in the forecast package

  • Data delivered via API or through our Data Buffet interface for easy downloading, charting and scheduling