Markets and Macroeconomic Indicators

Why Can Jobs and Unemployment Both Rise? Reading the US Employment Report

Learn why US nonfarm payrolls and unemployment can move differently through survey coverage and the unemployment-rate denominator. Check participation, hours, wages, and revisions together.

US nonfarm payroll changes and the unemployment rate come from different surveys and do not have to move in the same direction. The establishment survey focuses on jobs, while the household survey focuses on people's employment and unemployment status. To judge labor-market strength, examine participation, hours, wages, and past revisions alongside new jobs.

Distinguish the number of jobs from the number of employed people

A person working at two establishments can count as two jobs in the establishment survey but as one employed person in the household survey. Coverage of groups such as the self-employed also differs. Differences between the surveys therefore cannot simply be treated as statistical errors. An increase in nonfarm payrolls does not mean employment conditions have improved for every group. To connect employment with consumer spending capacity and company costs, examine which industries added jobs, the balance between private and public employment, and changes in hourly pay and working hours for existing jobs.

The unemployment-rate denominator can change

The unemployment rate divides unemployed people by the labor force. If new active job seekers enter the labor market, unemployment can rise even as employment increases. Conversely, if people stop looking for work and leave the labor force, a lower unemployment rate alone is not enough to establish improvement. Looking at the labor force participation rate and the employment-to-population ratio together helps reveal these differences. Average wages are also affected by composition. The household-income interpretation differs depending on whether the average rose because low-wage jobs disappeared or because pay increased within the same jobs.

Look beyond one month's release to revisions and cumulative trends

Initial establishment survey estimates can be revised as additional responses and adjustments arrive. Even if the latest month looks strong, downward revisions to earlier months can change the picture of overall employment levels. Temporary factors such as weather, strikes, and holidays can also amplify monthly swings, so examine several months of changes and their spread across industries. Strong employment is not always good for stocks: it may improve revenue prospects but also raise wage costs and interest-rate expectations. Before interpreting policy implications, distinguish survey definitions from the direction of the economy itself.

Worked example

Hypothetical example: If the labor force consists of 1,000 people, with 950 employed and 50 unemployed, the unemployment rate is 5%. Suppose 20 new people start looking for work the next month and employment increases by 10. The labor force is then 1,020, with 960 employed and 60 unemployed. The unemployment rate becomes 60÷1,020=approximately 5.88%. Employment and unemployment can rise together; this calculation simplifies household-survey concepts.

What to check

  • Distinguish whether the reported number counts jobs or employed people.
  • Check the unemployment rate alongside labor force participation.
  • Examine hourly wages together with weekly working hours.
  • Calculate the cumulative employment trend including previous-month revisions.

Sources and primary materials

This is educational material about research methods. For an actual company decision, verify the filings and primary sources for the relevant period.

  1. BLS: Comparing employment from the household and payroll surveys ↗
  2. BLS: Employment Situation Frequently Asked Questions ↗