placestats

Fine particulate matter and Local income tax as a share of income

Where Fine particulate matter is higher, Local income tax as a share of income tends to be lower. The link is weak: -0.35 across 548 counties, on a scale from −1 (opposite) to +1 (in step). That figure compares places with the same population density, income and education, so those differences can't explain it.

Holds after adjusting

Every place, plotted

One dot for each place reporting both measures. Hover over or tap a dot to see its name and values. The thin line is the straight line that best fits the dots. The bold line, shown for counties, is the link after adjusting for density, income and education. A dot far from the lines is a place that does not follow the pattern.

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What each measure is

Fine particulate matter

The average amount of fine particle pollution in the air, in micrograms per cubic metre. These are bits of soot small enough to get into the blood. It is an estimate from a statistical model, since most counties have no air monitor.

County Health Rankings · County Health Rankings v125

Local income tax as a share of income

Local income tax as a percentage of what residents earned. It is zero in most of the country. About 4,800 local governments in a dozen states charge one, and New York City's is the largest. When a city spans several counties, its tax is split between them by where its residents' income is.

Census local government finances · Census local government finances, item T40, every local government

Highest and lowest

Where each measure is highest and lowest among the places reporting both (2023), with the other measure beside it. This is shown for every size of place where both are published. Metro-area values are added up from their counties. A measure that cannot be added up across counties, such as a middle value (median), has no metro figure. Counts are shown per 1,000 residents, since raw totals would only list the largest places. Cities and towns and ZIP codes are shown where the Census survey or the CDC publishes them; most other sources stop at the county. They are shown for places of 5,000 residents or more, and only where the survey’s margin of error is small enough for the figure to be usable. The CDC publishes its health estimates for cities in a version adjusted for age, so places with older or younger people can be compared fairly, but not for ZIP codes.

Counties

By fine particulate matter

Fine particulate matterLocal income tax as a share of income
Highest
Allegheny County, PA11.30.737
Marion County, IN11.10.86
Cuyahoga County, OH10.81.54
Hamilton County, OH10.80.949
Wayne County, MI10.70.44
Lowest
Dorchester County, MD4.41
Kent County, MD4.61.25
Garrett County, MD4.61.11
Allen County, OH5.40.579
Cecil County, MD5.61.46

By local income tax as a share of income

Fine particulate matterLocal income tax as a share of income
Highest
District of Columbia, DC7.84.57
Bronx County, NY8.32.44
New York County, NY8.72.44
Kings County, NY8.42.42
Queens County, NY7.42.42
Lowest
Sedgwick County, KS6.70.00001
Franklin County, MO8.40.000018
Jasper County, MO9.10.000018
Cole County, MO7.70.000046
Dickinson County, KS7.80.000112
States

By fine particulate matter

Fine particulate matterLocal income tax as a share of income
Highest
Oregon12.10.136
Alabama8.60.0541
Indiana8.550.283
Kentucky80.766
Ohio7.850.992
Lowest
Maryland6.31.69
Michigan6.70.135
New York6.91.01
Kansas7.30.00054
Iowa7.40.0602

By local income tax as a share of income

Fine particulate matterLocal income tax as a share of income
Highest
District of Columbia7.84.16
Maryland6.31.69
New York6.91.01
Ohio7.850.992
Kentucky80.766
Lowest
Kansas7.30.00054
Alabama8.60.0541
Iowa7.40.0602
Michigan6.70.135
Oregon12.10.136
Metro areas — Local income tax as a share of income is not published for metro areas

By fine particulate matter

Fine particulate matterLocal income tax as a share of income
Highest
Salem, OR22.3—
Bakersfield-Delano, CA21.1—
Albany, OR21—
Visalia, CA20.8—
San Diego-Chula Vista-Carlsbad, CA20.6—
Lowest
Bozeman, MT2.3—
Kapaa, HI3.3—
Manchester-Nashua, NH3.4—
Hilo-Kailua, HI3.5—
Rock Springs, WY3.6—

Counties furthest from the pattern

Compared with the straight line that best fits all 548 counties: the five with far more local income tax as a share of income than their fine particulate matter would suggest, and the five with far less.

Fine particulate matterLocal income tax as a share of income
Above the line
District of Columbia, DC7.84.57
Bronx County, NY8.32.44
New York County, NY8.72.44
Kings County, NY8.42.42
Queens County, NY7.42.42
Below the line
Thomas County, KS5.90.000451
Wallace County, KS5.90.00422
Smith County, KS6.10.000972
Cass County, MO6.20.000911
Greeley County, KS60.00718

Two series, one county

Both measures over time for a county you pick. The two charts are stacked, so they share only the years along the bottom. You can pick from the thirty largest counties reporting both. This panel covers 2010–2024, and a measure published only once shows as a single dot.

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Every version of the link

Each row measures the same link, from −1 to +1, in a different way. If the rows mostly agree, the link does not depend on one choice of method.

Before adjusting for anything-0.032548 counties reporting both
After adjusting for density, income and education-0.354the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.368size taken out as well as density
Also comparing only within each state-0.018each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.367the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 93 equally weighted counties
Middle value inside single states+0.226the link worked out inside each of 8 states with at least 20 counties reporting
Using ranks, after adjusting-0.241uses each county’s rank, not its value, so a few extreme counties cannot create the link

How much to believe it

Could it be chance?

The p-value is the chance of seeing a link this strong if there were really none. A value of 0.05 or less means the link is unlikely to be chance. Very small values are written in short form: 3.1e-16 means 0.00000000000000031, and the bigger the number after “e-”, the smaller the value. Treating every county as a separate case gives p = 1.7e-17. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.016. The site tested 20,910 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 5.0e-17.

Do nearby places look alike?

Moran’s I measures how much nearby places look alike: 0 means no map pattern, and higher means neighbours are more similar. For the part of each county that the adjustment leaves unexplained, it is +0.37 (p = 0.001). That unexplained part still clusters on the map. So some regional factor shared by both measures is not accounted for.

Did they change together?

Not measurable: at least one of these is published for too few of the years a change needs (2014–2019 or 2019–2023), or for too few counties in both.

Related pairs

Association only. Nothing here shows that either measure changes the other. This describes counties, not the people in them. Two measures going together across places does not mean the same people have both. How the US county data works · Explore Fine particulate matter and Local income tax as a share of income