Population 1,277 · Census ACS 2020–24
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Median age by neighborhoodHistory and comparison ↓︎
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Population and households in Nye
Household size in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 2.57 | 2.45 | 2.68 |
| 2010–14 | 2.47 | 2.47 | 2.73 |
| 2015–19 | 2.51 | 2.43 | 2.71 |
| 2020–24 | 2.46 | 2.40 | 2.65 |
| Change | −0.11 | −0.06 | −0.03 |
The average household in Nye has 2.46 people, under the U.S. average of 2.65. The picture is much the same across Wisconsin. Since 2006–10, household size has dropped from 2.57, but in a place this small, survey estimates can swing a lot from one release to the next.
Household size: the average number of people living in each occupied home. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25010).
Median age in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 38.5 | 38.8 | 37.7 |
| 2010–14 | 40.9 | 39.9 | 38.6 |
| 2015–19 | 40.7 | 40.9 | 39.6 |
| 2020–24 | 43.9 | 41.4 | 40.1 |
| Change | +5.5 | +2.6 | +2.3 |
Nye skews older than the country: its median age is 43.9, against 40.1 nationally.
Median age: the age that splits residents into two equal halves. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B01002).
Single-parent households in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 7.2% | 10.4% | 12.3% |
| 2010–14 | 8.1% | 10.5% | 12.3% |
| 2015–19 | 8.6% | 10.0% | 11.6% |
| 2020–24 | 6.2% | 9.8% | 11.6% |
| Change | −1.0 pts | −0.6 pts | −0.6 pts |
Single parents head only 6.2% of households in Nye, well below the national share of 11.6%.
Single-parent households: households where one adult with no spouse present lives with children under 18. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B11003).
Housing in Nye
Renters in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 15.5% | 30.5% | 33.3% |
| 2010–14 | 16.9% | 32.3% | 35.6% |
| 2015–19 | 16.9% | 33.0% | 36.0% |
| 2020–24 | 5.5% | 32.2% | 34.8% |
| Change | −10.0 pts | +1.6 pts | +1.5 pts |
Nye is overwhelmingly a place of homeowners: only 5.5% of households rent, far below the national share of 34.8%. Owner-heavy areas like this tend to see less turnover. Among homeowners, 27.1% have no mortgage at all, well below the national share of 39.8%.
Renters: occupied homes that are rented rather than owned. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25003).
Vacant homes in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 8.6% | 10.5% | 11.4% |
| 2010–14 | 11.3% | 10.6% | 11.4% |
| 2015–19 | 7.9% | 10.1% | 11.1% |
| 2020–24 | 8.7% | 9.2% | 9.6% |
| Change | +0.1 pts | −1.3 pts | −1.8 pts |
About as many homes sit empty in Nye as nationally: 8.7%, against 9.6%.
Vacant homes: homes with no one living in them, including vacation homes and homes for sale or rent. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25002).
Age of homes in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 1985 | 1970 | 1974 |
| 2010–14 | 1986 | 1971 | 1975 |
| 2015–19 | 1990 | 1972 | 1977 |
| 2020–24 | 1996 | 1974 | 1980 |
| Change | +10 | +5 | +6 |
Nye has newer housing than the country as a whole: the median home was built in 1996, versus 1980 nationally.
Age of homes: the year that splits the housing stock into older and newer halves. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25035).
Rent in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | $759 | $758 | $965 |
| 2010–14 | $757 | $821 | $1,040 |
| 2015–19 | $904 | $904 | $1,213 |
| 2020–24 | $1,100 | $1,139 | $1,571 |
| Change | +$341 | +$380 | +$606 |
The median renter in Nye pays $1,100 a month for rent and utilities, well below the national median of $1,571. That is in line with the rest of Wisconsin. Rent takes 23.6% of the typical renter's income, comfortably under the 30% mark often used to define affordable rent.
Rent: monthly rent plus the utilities renters pay themselves. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25064).
Education in Nye
Bachelor's degrees in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 22.7% | 26.5% | 28.4% |
| 2010–14 | 26.5% | 28.0% | 29.6% |
| 2015–19 | 27.7% | 30.4% | 32.1% |
| 2020–24 | 29.7% | 33.6% | 35.6% |
| Change | +7.0 pts | +7.0 pts | +7.2 pts |
College degrees are a little less common in Nye than nationally: 29.7% of adults 25 and older have a bachelor's or higher, against 35.6%.
Bachelor's degrees: adults 25 and older with a bachelor's degree or higher. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B15003).
High school graduates in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 94.8% | 89.5% | 84.9% |
| 2010–14 | 95.5% | 90.7% | 86.1% |
| 2015–19 | 96.3% | 92.1% | 87.7% |
| 2020–24 | 97.0% | 93.3% | 89.3% |
| Change | +2.3 pts | +3.8 pts | +4.3 pts |
Finishing high school is nearly universal in Nye: 97.0% of adults 25 and older have a diploma or equivalent, well above the national rate of 89.3%.
High school graduates: adults 25 and older with a high school diploma, GED or more. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B15003).
Jobs in Nye
| Period | Nye | Wisconsin | U.S. |
|---|---|---|---|
| 2006–10 | 7.7% | 6.7% | 8.1% |
| 2010–14 | 6.8% | 7.3% | 9.4% |
| 2015–19 | 2.6% | 3.7% | 5.6% |
| 2020–24 | 5.5% | 3.3% | 5.4% |
| Change | −2.2 pts | −3.4 pts | −2.7 pts |
At 5.5%, unemployment in Nye is close to the national rate of 5.4%. The rate is higher than in Wisconsin as a whole (3.3%). Because the Census pools five years of responses (2020–24), these rates smooth over short swings and lag the current job market.
Unemployment: people looking for work as a share of everyone working or looking. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B23025).
Nye compared with nearby cities
| City | Household size | Median age | Single parents | Renters | Vacant homes | Median year built | Median rent | Bachelor's degree | High school diploma | Unemployment |
|---|---|---|---|---|---|---|---|---|---|---|
| Nye | 2.46 | 43.9 | 6.2% | 5.5% | 8.7% | 1996 | $1,100 | 29.7% | 97.0% | 5.5% |
| Osceola | 2.34 | 40.4 | 11.8% | 24.0% | 5.1% | 1990 | $1,076 | 25.9% | 93.6% | 4.4% |
| Dresser | 2.39 | 42.1 | 9.4% | 17.6% | 8.3% | 1985 | $1,132 | 24.5% | 93.3% | 4.3% |
| Sand Lake | 2.30 | 42.2 | 10.9% | 26.1% | 9.7% | 1981 | $1,035 | 25.3% | 91.5% | 5.1% |
| Ubet | 2.41 | 47.2 | 4.0% | 10.3% | 27.0% | 1987 | $1,171 | 30.5% | 95.4% | 2.6% |
| Wanderoos | 2.28 | 52.8 | 2.6% | 4.5% | 34.6% | 1986 | $1,015 | 33.7% | 94.4% | 1.2% |
| Star Prairie | 2.52 | 45.8 | 5.0% | 6.3% | 12.4% | 1985 | $1,216 | 26.3% | 95.4% | 2.0% |
| Shafer | 2.64 | 40.7 | 7.8% | 9.6% | 5.2% | 1992 | $1,301 | 25.9% | 96.4% | 2.7% |
| Taylors Falls | 2.79 | 40.0 | 8.4% | 12.1% | 11.3% | 1979 | $1,031 | 23.9% | 97.9% | 6.0% |
| St. Croix Falls | 2.19 | 46.4 | 9.1% | 25.9% | 16.7% | 1982 | $945 | 26.2% | 92.0% | 5.2% |
| Deronda | 2.29 | 54.0 | 3.2% | 4.4% | 34.1% | 1984 | $1,011 | 29.4% | 93.9% | 0.7% |
All figures 2020–24.
Cities with similar populations: Nakina, NC · Leland, MI · Lilydale, MN · Lockwood, NY · Loma Linda, MO · Long Point, TX · Lorenzo, TX · Mapleville, RI · Metamora, OH · Myton, UT
About these numbers
Every figure on this page is a BestNeighborhood calculation from the Census Bureau's American Community Survey (ACS), built up from the Census block groups that make up Nye. Each ACS 5-year release pools five years of responses; this page shows the last 15 releases, 2006–10 through 2020–24. Neighboring releases share four of their five years, so they move gradually and small changes between them are within the survey's margin of error; in small places the lines can jump from one release to the next for the same reason. The maps show the same measures for each neighborhood, ranked against the whole country.
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