placestats

Natural amenities scale and House price index (2000 = 100)

Where Natural amenities scale is higher, House price index (2000 = 100) tends to be higher. The link is moderate: +0.53 across 2,335 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. It holds inside states too. Measured separately within each of 38 states, the middle value of the link is +0.20.

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

Natural amenities scale

A score for the natural features most people say they like in a place to live: warm, sunny winters, mild summers that are not humid, hills or mountains, and lakes or coast. It adds up six scores, each showing how far a county is above or below the average county, so 0 is average and nine in ten counties fall between -4 and +4. The weather parts are averages for 1941 to 1970. It covers the lower 48 states, not Alaska or Hawaii.

USDA ERS Natural Amenities Scale · USDA ERS natural amenities scale, Scale

House price index (2000 = 100)

House prices compared with the same place in 2000, which is set to 100. A value of 250 means prices are 2.5 times what they were in 2000. It is not a price in dollars, so it shows growth, not which place costs more.

FHFA House Price Index · FHFA HPI all-transactions annual (developmental county/state), HPI with 2000 base

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 natural amenities scale

Natural amenities scaleHouse price index (2000 = 100)
Highest
Ventura County, CA11.2306
Humboldt County, CA11.2322
Santa Barbara County, CA11303
Mendocino County, CA10.9243
Del Norte County, CA10.8322
Lowest
Wilkin County, MN-6.1235
Tipton County, IN-5.4191
Pembina County, ND-5.18183
Mower County, MN-5.18197
Traill County, ND-5.12285

By house price index (2000 = 100)

Natural amenities scaleHouse price index (2000 = 100)
Highest
Adams County, ID3.83468
Williams County, ND-2.01466
Shoshone County, ID3.64465
Hamlin County, SD-1.37458
Richland County, MT-0.22452
Lowest
Luce County, MI-1.21136
Coahoma County, MS-0.65140
Stephenson County, IL-3.75142
Massac County, IL-1.69142
McDonough County, IL-3.19143
States — Natural amenities scale is not published for states

By house price index (2000 = 100)

Natural amenities scaleHouse price index (2000 = 100)
Highest
District of Columbia—395
Florida—354
Hawaii—353
Idaho—344
Montana—329
Lowest
Illinois—173
Michigan—176
West Virginia—183
Ohio—184
Mississippi—190

Counties furthest from the pattern

Compared with the straight line that best fits all 2,336 counties: the five with far more house price index (2000 = 100) than their natural amenities scale would suggest, and the five with far less.

Natural amenities scaleHouse price index (2000 = 100)
Above the line
Williams County, ND-2.01466
Hamlin County, SD-1.37458
Richland County, MT-0.22452
Adams County, ID3.83468
Shoshone County, ID3.64465
Below the line
Mendocino County, CA10.9243
Lassen County, CA6.35201
Sierra County, CA5.9200
Torrance County, NM4.02181
Lauderdale County, MS1.31150

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+0.5562,335 counties reporting both
After adjusting for density, income and education+0.531the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.478size taken out as well as density
Also comparing only within each state+0.216each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.692the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 266 equally weighted counties
Middle value inside single states+0.197the link worked out inside each of 38 states with at least 20 counties reporting
Using ranks, after adjusting+0.588uses 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 = 6.0e-170. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.8e-6. The site tested 29,403 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 8.2e-169.

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 +0.56 (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 Natural amenities scale and House price index (2000 = 100)