The unemployment rate that dominates monthly headlines is not a tally of people collecting benefits. It is an estimate from a survey, built on a specific definition of who counts as unemployed. This explainer walks through how the federal government produces it, how a figure for the San Diego area is derived, and why the numbers should be read with their limits in mind.
What counts as unemployed?
The Bureau of Labor Statistics (BLS), part of the U.S. Department of Labor, publishes the official rate. Its definitions are narrower than everyday speech. According to the BLS, a person is unemployed if they do not have a job, are available to work, and have actively looked for work in the prior four weeks. People waiting to be recalled from a layoff are also counted as unemployed without needing to search.
The BLS describes the labor force as the employed plus the unemployed. Anyone who is neither is “not in the labor force,” a group that includes retirees, full-time students and people who want a job but have stopped searching. The agency says each person is counted in only one category, and that having work outranks looking for work.
The population measured is the civilian noninstitutional population aged 16 and older. According to the BLS, that leaves out people living in institutions and active-duty military members. The distinction matters in a county with a large Navy and Marine Corps presence, a subject covered in San Diego’s military presence explained: service members on active duty are not part of the national survey universe.
Who gets surveyed, and when?
The rate comes from the Current Population Survey, conducted by the Census Bureau for the BLS. According to the BLS, it covers about 60,000 eligible households a month, or roughly 110,000 people, and Census Bureau interviewers collect the answers by phone or in person. The questions refer to the week that usually includes the 12th of the month.
National results appear in the monthly Employment Situation release. As of October 2026, according to the BLS, the October report is scheduled for November 6, 2026, at 8:30 a.m. Eastern time.
How is the rate calculated? A worked example
Three ratios do most of the work. The BLS defines them this way:
| Measure | What it divides |
|---|---|
| Unemployment rate | Unemployed ÷ labor force |
| Labor force participation rate | Labor force ÷ population aged 16 and over |
| Employment-population ratio | Employed ÷ population aged 16 and over |
Here is illustrative arithmetic, with made-up round numbers rather than real data. Suppose a small population aged 16 and over has 140 people. Of them, 95 are employed and 5 are unemployed, so the labor force is 100, and the other 40 are not in the labor force.
- Unemployment rate: 5 ÷ 100 = 5.0%
- Participation rate: 100 ÷ 140 = about 71.4%
- Employment-population ratio: 95 ÷ 140 = about 67.9%
Now imagine two of the unemployed people give up searching. The labor force drops to 98, the unemployed to 3, and the rate to about 3.1%, even though nobody found a job. That is one reason economists look at participation and the employment-population ratio alongside the headline rate.
Why do two jobs reports sometimes disagree?
Each month brings a second federal report, based on a different survey. The Current Employment Statistics program asks employers about their payrolls. According to the BLS, it samples about 119,000 businesses and government agencies covering roughly 622,000 worksites. The household survey counts people, while the payroll survey counts jobs.
The BLS lists several reasons the two can diverge:
- A person with two payroll jobs is counted twice in the payroll survey but once in the household survey.
- The household survey includes the self-employed, agricultural workers and unpaid family workers; the payroll survey covers nonfarm wage and salary jobs.
- The household survey uses a calendar week, while the payroll survey uses each employer’s pay period.
- The payroll survey is benchmarked once a year to unemployment insurance tax records, and it uses a statistical model to account for businesses opening and closing.
The BLS also gives a sense of the noise involved. For the household survey, a month-to-month change in employment must be about 650,000 to be statistically significant at the 90 percent confidence level, compared with about 122,000 for the payroll survey, according to the agency. Small monthly moves in either series, in other words, may be statistical noise.
The payroll numbers are also revised. According to the BLS, the preliminary benchmark revision for March 2026, published August 28, 2026, was -79,000 for total nonfarm employment, or -0.1%.
How is a San Diego County rate produced?
A national survey of 60,000 households cannot produce a reliable monthly figure for every county. The BLS says so directly: the sample is too small for dependable monthly estimates in most local areas, and many areas have no coverage at all.
Instead, the BLS Local Area Unemployment Statistics program publishes estimates for more than 7,500 areas, including states, metropolitan areas, counties and cities of 25,000 or more people. The estimates are built with statistical models and with a “building-block” method for counties and labor market areas. According to the BLS, they are controlled so that they stay consistent with the national household-survey totals.
The agency says local releases carry only four headline measures (labor force, employed, unemployed and the rate) and offer no demographic detail. State estimates arrive about three weeks after the reference month, and substate estimates about four to five weeks after, according to the BLS.
What do the latest figures show for San Diego?
According to the BLS, the San Diego-Chula Vista-Carlsbad metropolitan area had these unemployment rates in 2026. They are not seasonally adjusted, and September is preliminary:
| Month | Rate |
|---|---|
| April | 4.1% |
| May | 3.9% |
| June | 4.5% |
| July | 4.7% |
| August | 4.9% |
| September (preliminary) | 4.7% |
Because these are not seasonally adjusted, some of the movement can reflect predictable calendar patterns, such as the arrival of summer workers and the end of the school year, not a change in underlying conditions. Seasonal adjustment, which the BLS describes as removing recurring influences such as weather and holidays, is applied to state and national headline rates, so the metro series should not be lined up directly against them.
For context, the BLS reported in its state release of October 20, 2026, that California’s September 2026 rate was 5.1%, down 0.4 percentage points from 5.5% a year earlier, and that the U.S. rate was 4.2%.
For what drives local hiring, including defense, biotech, tourism and trade, see the structure of the San Diego regional economy and the region’s life sciences cluster.
What can the rate not tell you?
The headline rate leaves several things out, and the BLS itself points to some of them:
- Part-time and discouraged workers. Someone working a few hours a week counts as employed. Someone who has stopped looking does not count as unemployed.
- Job quality. The rate says nothing about wages, hours or whether a job matches a worker’s skills.
- Sampling error. Every survey estimate has a margin of error, and monthly changes can fall inside it.
- Revisions. Population controls from the Census Bureau are updated each year, and the BLS says it incorporated new controls with January 2026 data. According to the BLS, they change employment and labor force levels but not unemployment rates.
- Unreported work. The BLS says off-the-books work is missing from the payroll survey and that it cannot determine how much of it the household survey captures.
A reading guide for the next release
Two habits make the monthly numbers easier to interpret. First, look at the trend over several months, not one release; a move of a tenth or two of a percentage point is typically well inside the uncertainty. Second, check whether a figure is seasonally adjusted and whether it is preliminary before comparing it with another one. The BLS publishes its release calendar in advance, and the agency’s local pages show the latest preliminary and revised values.
The state’s own budget debates also lean on these numbers, as described in how California’s state budget is built, because revenue projections depend partly on the outlook for jobs.
This article is general information about how government statistics are produced, not personalized financial, investment, tax or legal advice.
Sources: U.S. Bureau of Labor Statistics
