Most states beat America. Most Americans do not.
For July 2026 the United States published an unemployment rate of 4.1%. Each of the fifty states and the District of Columbia published one too, on the same definition and the same seasonal adjustment. Twenty-seven printed a rate below the national figure, one printed exactly 4.1%, and twenty-three printed a rate above it. On a count of places, the country looks better than its own headline.
On a count of people it does not. The 28 areas at or below the national rate hold 36.6% of the American labour force. The 23 above it hold 63.4%. Nearly two workers in three live where unemployment is higher than the number they read in the news.
The mechanism is not subtle once the table is sorted. The four largest labour markets in the country are California at 5.1%, Texas at 4.5%, Florida at 4.6% and New York at 4.4%, and every one of them is above the national rate. Together they hold 33.3% of everyone in the American labour market. The largest area at or below the line is Pennsylvania at 3.9%, then Ohio at 3.4%, Georgia at 3.3%, North Carolina at 3.6% and Virginia at 3.7%. Good rates, in states that hold fewer people.
None of that makes the national figure wrong. It is a rate over the whole country, so it weights by workers, not by borders, and it is the right number for the question it answers. It is simply not the number describing the typical American place, and the two get quoted as if they were the same thing. The median area printed 3.9%.
| Area | Unemployment | Participation | Share of workers |
|---|---|---|---|
| South Dakota | 2.0% | 66.8% | 0.29% |
| North Dakota | 2.2% | 69.2% | 0.25% |
| Nebraska | 2.9% | 69.4% | 0.65% |
| Iowa | 3.2% | 67.1% | 1.0% |
| Pennsylvania | 3.9% | 62.5% | 3.9% |
| West Virginia | 4.1% | 53.8% | 0.45% |
| New York | 4.4% | 61.3% | 5.9% |
| Texas | 4.5% | 64.2% | 9.4% |
| Florida | 4.6% | 57.5% | 6.5% |
| Michigan | 4.9% | 59.1% | 2.9% |
| Illinois | 4.9% | 63.3% | 3.8% |
| California | 5.1% | 61.6% | 11.5% |
| Oregon | 5.2% | 62.4% | 1.3% |
| District of Columbia | 5.9% | 70.2% | 0.24% |
The distance inside one country
South Dakota reported 2.0% and the District of Columbia reported 5.9%. That is 3.9 percentage points, and the top is 2.95 times the bottom. One currency, one federal labour law, one month, one definition.
The bottom of the table is thinly populated and the top is not. South Dakota, North Dakota, Nebraska and Iowa together hold 2.2% of the country’s workers, and all four report between 2.0% and 3.2%. California alone holds 11.5% and reports 5.1%. A reader who has only seen the national rate has been told the average of these places weighted by how many people live in them, which is a true number and a poor description of any of them.
It is worth saying what the spread is not. It is not a ranking of which economies are strong, because a rate is a share of the people who are looking, and the next section shows two areas printing very different rates on very different participation. And nothing here tracks a state over time: this is one month, and a month is a photograph.
A rate counts the people who are looking
Every area in the table publishes a second rate, and it is the one that says how much of the adult population is in the market at all. Nationally, 61.4% of Americans aged 16 and over were working or looking in July 2026. Across the fifty-one areas that figure runs from 53.8% in West Virginia to 70.2% in the District of Columbia, a spread of 16.4 points, which is more than four times the spread of the unemployment rate itself.
Put the two side by side and the rate stops being a league table. West Virginia printed 4.1%, exactly the national rate, on the lowest participation of the fifty-one. The District of Columbia printed 5.9%, the highest rate of the fifty-one, on the highest participation of the fifty-one. Read only the first column and West Virginia is average and the District of Columbia is the worst place in America to look for work. Read both and they are not comparable at all.
The arithmetic behind that is in the exhibit below, and it is worth stating plainly because it is where most readings go wrong: a person who gives up looking leaves the unemployment count and the labour force at the same moment. The rate falls. Nothing improved. That is not an accusation against any state in this table, and the piece names no cause for any of the participation figures, because age structure, retirement, disability, study and opportunity all sit inside that one number and this data cannot separate them.
- The unemployment rate: people without work who are available for it and have actively looked in the past four weeks, as a share of the LABOUR FORCE, which is those working plus those looking.
- The participation rate: everyone aged 16 and over who is either working or looking, as a share of the whole civilian POPULATION of that age, retired people and students included in the denominator.
- A person who stops looking leaves the numerator of the first and the numerator of the second at the same moment, which lowers the unemployment rate and lowers participation together.
That is why West Virginia and the United States can print the same 4.1% while 53.8% of West Virginians aged 16 and over are in the labour market against 61.4% nationally, and why the District of Columbia can print the highest unemployment rate of the fifty-one, 5.9%, on the highest participation of the fifty-one, 70.2%. A high rate can mean a market people are trying to enter. A low one can mean a market they have left. The rate alone does not say which.
The piece prints two rates for every area and they have different denominators. Reading one as a version of the other is the most common way this table is misread, so both are set out here.
Why the states do not add up, and why that matters
There is an obvious next step with a table like this: add the states together and check the national figure. It does not work, and the size of the failure is worth printing. Summed across the fifty-one areas, the state series give 7,235,216 unemployed people. The national series for the same month gives 6,916,000. The difference is 319,216 people, and the rate implied by the state sum is 4.26% against a published 4.1%.
Neither figure is wrong. They are produced by different instruments. The national number comes from the Current Population Survey, a monthly household survey. The state numbers come from a modelled programme that uses the same survey, plus unemployment insurance claims and payroll data, and is benchmarked on its own schedule. The two are designed to be internally consistent, not mutually additive, and the gap between them is a known property rather than an error in either.
Which is exactly why this edition prints the difference rather than quietly using one number where the other belongs. Every comparison above is state against state, or a state against the published national rate, and never a state against a national figure rebuilt from states. If you take one thing from this piece other than the finding, take that: the moment a table of American states is summed to check Washington’s arithmetic, the answer is already wrong by about three hundred thousand people.
What the data establishes
- In July 2026, 28 of the 51 American labour markets reported unemployment at or below the national rate of 4.1%, and 23 reported a rate above it.
- Those 28 areas hold 36.6% of the labour force as the state series count it; the 23 above hold 63.4%.
- The four largest labour forces, California, Texas, Florida and New York, all report a rate above the national one, and together hold 33.3% of that labour force.
- Rates run from 2.0% in South Dakota to 5.9% in the District of Columbia, a spread of 3.9 percentage points and a ratio of 2.95.
- Participation runs from 53.8% in West Virginia to 70.2% in the District of Columbia against 61.4% nationally, a spread of 16.4 points.
What it does not
- That the states sum to the nation. They do not: 7,235,216 against 6,916,000, and 4.26% against 4.1%. The national figure is a household survey and the state figures are modelled estimates; the gap is a property of the two instruments, not an error in either.
- That a low unemployment rate means a strong labour market. The rate counts people who are looking, and a person who stops looking lowers it. West Virginia prints the national rate on the lowest participation of the fifty-one.
- Any cause, for any figure here. Age structure, retirement, disability, study, industry mix and opportunity all sit inside a participation rate, and one month of published rates separates none of them.
- Anything about job openings by area. The national figure was 7,271,000 openings in July 2026, about 1.05 for every unemployed person, but the vacancy survey publishes no state breakdown on the source read here, so this piece gives none.
- Any trend. This is one month. Nothing here says whether an area is improving, and a single month cannot.
Method
- One source, one month. All figures are US Bureau of Labor Statistics series read through FRED, which serves them as machine-readable CSV; bls.gov refuses automated reads, so FRED is what was read and FRED is what is cited. Reference month July 2026, the latest published for every area, read on 3 September 2026. National series: UNRATE, UNEMPLOY, CLF16OV, CIVPART, JTSJOL. Per area: the state unemployment rate, the seasonally adjusted unemployment level, the labour force level and the participation rate. Every figure is seasonally adjusted.
- FIFTY-ONE AREAS, NOT FIFTY-ONE STATES. The District of Columbia is a federal district and is counted here because the BLS publishes it on the same basis; it is named as itself throughout and never called a state. The count of 51 is load-bearing in every claim about how many areas sit on each side of the line.
- THE STATES ARE NOT SUMMED, and the reason is measured rather than asserted: adding the fifty-one gives 7,235,216 unemployed against a national 6,916,000, an implied rate of 4.26% against a published 4.1%. The national figure is a household survey; the state figures are modelled estimates benchmarked separately. Every comparison in this piece is state against state or state against the published national rate.
- The share-of-workers figures are computed over the labour force as the STATE series count it, because that is the only set in which every area appears. They are therefore shares of 169,892,105 rather than of the national labour force series, and the two differ for the reason above.
- The unemployment rate and the participation rate have different denominators: the labour force for the first, the civilian population aged 16 and over for the second. The piece keeps them apart everywhere and prints both for every area in the table.
- THE FIRST DRAFT OF THIS PIECE WAS WRONG AND THE GATE CAUGHT IT. The state unemployment levels were first pulled from the series that is not seasonally adjusted, which made California print 5.24% against its own published 5.1%. Every level here comes from the adjusted series, and California now reproduces 5.1% exactly.
- One quantity is DERIVED at render time and nowhere else: the ratio of the highest rate to the lowest, computed from the unrounded values. Percentages of the labour force are computed from the unrounded levels and rounded once for display.
Primary sources
- U.S. Bureau of Labor Statistics, via FREDUnemployment Rate (national, seasonally adjusted)UNRATE · September 3, 2026
- U.S. Bureau of Labor Statistics, via FREDLabor Force Participation Rate (national, seasonally adjusted)CIVPART · September 3, 2026
- U.S. Bureau of Labor Statistics, via FREDState unemployment rates, unemployment levels, labour force and participation (Local Area Unemployment Statistics, seasonally adjusted)CAUR · LASST06…04 · CALF · LBSSA06 · September 3, 2026
- U.S. Bureau of Labor Statistics, via FREDJob Openings: Total Nonfarm (seasonally adjusted)JTSJOL · September 3, 2026
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