placestats

Local income tax as a share of income and Population (WONDER)

Across 73 counties, Local income tax as a share of income and Population (WONDER) have a link of +0.51, on a scale from −1 (opposite) to +1 (in step). But compare places with the same population density, income and education, and what is left could easily be chance. Most of the first figure came from both measures following how urban, rich and educated a place is, not from a link with each other.

Mostly gone 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

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

Population (WONDER)

How many people live here, as CDC WONDER counts them. Its yearly homicide rate is per this number of residents.

CDC WONDER mortality · CDC WONDER population, by county and year

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 local income tax as a share of income

Local income tax as a share of incomePopulation (WONDER), per 1,000 residents
Highest
District of Columbia, DC4.571010.25
Bronx County, NY2.44955.79
New York County, NY2.44981.39
Kings County, NY2.42967.84
Queens County, NY2.42966.56
Lowest
Sedgwick County, KS0.000011006.97
Calhoun County, AL0.00191002.49
Scott County, IA0.00214999.82
Vanderburgh County, IN0.00844999.46
Polk County, IA0.01041015.72

By population (WONDER)

Local income tax as a share of incomePopulation (WONDER), per 1,000 residents
Highest
Charles County, MD1.631019.32
Chester County, PA0.4431016.42
Polk County, IA0.01041015.72
Allen County, IN0.691014.79
York County, PA0.5071011.60
Lowest
Bronx County, NY2.44955.79
St. Louis city, MO1.1961.25
Queens County, NY2.42966.56
Kings County, NY2.42967.84
Baltimore city, MD1.42979.29
States

By local income tax as a share of income

Local income tax as a share of incomePopulation (WONDER), per 1,000 residents
Highest
District of Columbia4.161010.25
Maryland1.691001.55
New York1.01984.84
Ohio0.9921000.51
Kentucky0.7661003.43
Lowest
Kansas0.000541001.00
Alabama0.05411010.73
Iowa0.06021003.46
Michigan0.135998.55
Oregon0.136998.75

By population (WONDER)

Local income tax as a share of incomePopulation (WONDER), per 1,000 residents
Highest
Alabama0.05411010.73
District of Columbia4.161010.25
Indiana0.2831007.41
Missouri0.141004.54
Iowa0.06021003.46
Lowest
New York1.01984.84
Pennsylvania0.735998.11
Michigan0.135998.55
Oregon0.136998.75
Ohio0.9921000.51
Metro areas — Local income tax as a share of income is not published for metro areas

By population (WONDER)

Local income tax as a share of incomePopulation (WONDER), per 1,000 residents
Highest
Show Low, AZ—1000.05
Farmington, NM—1000.04
Tucson, AZ—1000.04
Goldsboro, NC—1000.03
Battle Creek, MI—1000.03
Lowest
Roanoke, VA—309.15
Albany-Schenectady-Troy, NY—350.02
Ogden, UT—413.18
Amarillo, TX—420.90
Allentown-Bethlehem-Easton, PA-NJ—432.43

Counties furthest from the pattern

Compared with the straight line that best fits all 73 counties: the five with far more population (WONDER) than their local income tax as a share of income would suggest, and the five with far less.

Local income tax as a share of incomePopulation (WONDER), per 1,000 residents
Above the line
District of Columbia, DC4.571010.25
Charles County, MD1.631019.32
Chester County, PA0.4431016.42
Allen County, IN0.691014.79
Harford County, MD1.731008.12
Below the line
St. Louis city, MO1.1961.25
Bronx County, NY2.44955.79
Queens County, NY2.42966.56
Kings County, NY2.42967.84
Scioto County, OH0.144984.29

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+0.51473 counties reporting both
After adjusting for density, income and education-0.174the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.081size taken out as well as density
Also comparing only within each state+0.144each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.227the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 41 equally weighted counties
Middle value inside single states—too few states with enough counties
Using ranks, after adjusting-0.129uses 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 = 0.150. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.320. 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 0.180.

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 -0.06 (p = 0.280). Once the adjustment is made, little map pattern is left.

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 Local income tax as a share of income and Population (WONDER)