National employment growth in the second quarter of 2026 accelerated slightly to 0.3% compared with one year ago. However, this aggregate figure conceals wide variation in job growth across U.S. states: 38 states experienced job growth, while 12 states plus the District of Columbia experienced job losses relative to one year ago. The median state experienced job growth of roughly 0.4%. Moreover, 25 states experienced growth above the median, highlighting growing resilience.
Our FRED map above shows the percent change from a year ago in employment in each state during the second quarter. Minnesota and Nevada had the strongest growth, with net job gains of 1.4% and 2%, respectively. The District of Columbia and Montana had the largest net job losses, at -4.8% and -1%, respectively.
At the metro level, job growth on average displayed weaker trends than the state-level data, with the median MSA experiencing a slight job gain of 0.2% in the second quarter of 2026 relative to one year ago. The Waterloo-Cedar Falls, Iowa, MSA had the largest net job loss at -3.2%. In contrast, the Sandusky, Ohio, MSA had the strongest job growth, at 5%. These numbers tend to vary greatly from quarter to quarter, with even greater sampling errors than the errors at the state and national levels. So, be careful not to read too much into these data.
How these maps were created: Search FRED for “total nonfarm employees in Missouri” (or any other state). Click “View Map” and then “Edit Map.” Change the units to “Percent Change from Year Ago” and the frequency to quarterly with aggregation method “End of Period.” Under “Format,” select “User Defined Method” for how to group the data: Switch the number of color groups to 3 and change the colors to red for states that shed jobs (or a value less than or equal to 0), light yellow for states with modest job growth (or less than 0.4), and dark green for states with strong growth (or a value large enough to incorporate the rest of the states). For the second map, repeat the process with an MSA—St. Louis, for example.
Suggested by Violeta Gutkowski and Rehann Silvanus.