Decoding Data

Decoding Data


Metropolitan Statistical Area map


Gender wage gap


Blog Posts

Why are you paid what you are paid? More on the gender wage gap
As we try to establish whether men systematically out-earn women, we need to first come up with some reasonable explanation for how wages are determined and then establish whether gender has anything to do with it.

Single-year vs. Multiyear ACS estimates
In the past, the Census Bureau provided separate 1-year, 3-year, and 5-year estimates – but funding constraints have resulted in the discontinuation of the 3-year statistical product.

Please consume responsibly: Earnings data and the gender wage gap
But while comparing wages might appear to be the most obvious way to get at the answer, careful consideration of the data reveals why this task is not as straightforward as it may appear.

Migration data miscounts millennials, confuses the media
Conclusions based on migration data from the CPS, especially for young adults, should be considered highly suspect.

Maps & Data Guides

Metropolitan Statistical Area (MSA) Map
Currently, there are 12 MSAs in Virginia. The MSA designations are determined by the Federal Office of Budget and Management. Read more about MSAs.

Virginia Cartographic Boundaries
This link will connect you with the U.S. Census Bureau TIGER/Line Shapefiles website.

Guide to Using the American Community Survey
This guide will help you navigate the American Community Survey, which includes state- and local-level data profiles (both tabular and narrative) on demographic, social, economic, and housing characteristics. You can access the American Community Survey Data through American Fact Finder.

Guide to Publicly Available Demographic Data
The Guide to Demographic & Workforce Data outlines selected, relevant data sources including the United States Census Bureau, the Internal Revenue Service, the Bureau of Labor Statistics, and the Virginia Employment Commission. The Guide includes the sources of data, how often it is collected and for what years it is available, the geographic level of analysis (state, county, etc.), and the variables included in the data.