The Welch Consulting Employment Index held steady at 102.4 in July, near the recent high of 102.5 set in January.

The Welch Index measures full-time equivalent employment after adjustment for population growth and the aging of the workforce. An Index value of 100.0 indicates that adjusted full-time equivalent employment is the same as its level in the base year of 2004.

Over the past 12 months the Index has risen from 101.8 to 102.4. The increase in the Index over the past year means that full-time equivalent employment has been growing at a faster rate than the adult population.  Full-time equivalent employment increased 0.6% faster than the adult population over the past year (after making adjustments for the aging of the U.S. adult population). Looking back at the most recent 6 months, the Index fell from 102.5 in January to 102.4 currently. The rate of change over the past year is modestly slower than the overall trend for the last 3 years of an increase of 1.0% per year. The most recent six months are showing a slight decline in the employment index.

In July the index for women fell while the index for men rose. The index for women fell just 0.1 point from 105.4 to 105.3, still near its all-time high of 105.5 seen in December, January, and February. The index for women is up from 104.7 a year ago. The index for men held rose 0.3 point to 100.2, its highest value in recent years. The index for men is up 0.8 points from its year ago value of 99.4. Over the last three years the index for women is up 3.9 points while the index for men is up 2.4 points.

Technical Note: Full-time equivalent employment equals full-time employment plus one half of part-time employment from the BLS household survey (the Current Population Survey). The data reported for a given month is generally from the calendar week that contains the 12th day of the month. The Welch index adjusts for the changing age distribution of the population by fixing the age distribution of adults to the distribution in the base year of 2004. Seasonal effects for the share of workers employed in part-time jobs are removed in a regression framework using monthly indicator variables.