Demographics details for Newton, KS vs Wheeler, WI
Population Overview
Compare main population characteristics in Newton, KS vs Wheeler, WI.
Data | Newton | Wheeler |
---|---|---|
Population | 18,392 | 331 |
Median Age | 40.1 years | 42.6 years |
Median Income | $66,528 | $54,167 |
Married Families | 40.0% | 31.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 3.4 | 4.0 |
Population Comparison: Newton vs Wheeler
- In Newton, the population is higher at 18,392, compared to 331 in Wheeler.
- The median age in Wheeler is higher at 42.6 years, compared to 40.1 years in Newton.
- Newton has a higher median income of $66,528 compared to $54,167 in Wheeler.
- A higher percentage of married families is found in Newton at 40.0% compared to 31.0% in Wheeler.
- Newton has a higher poverty level at 9% compared to 8% in Wheeler.
- Wheeler has a higher unemployment rate at 4.0% compared to 3.4% in Newton.
Demographics
Demographics Newton vs Wheeler provide insight into the diversity of the communities to compare.
Demographic | Newton | Wheeler |
---|---|---|
Black | 2 | Data is updating |
White | 66 | 94 |
Asian | Data is updating | Data is updating |
Hispanic | 20 | 4 |
Two or More Races | 11 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Newton vs Wheeler
- A higher percentage of Black residents are in Newton at 2% compared to 0% in Wheeler.
- The percentage of White residents is higher in Wheeler at 94% compared to 66% in Newton.
- Both Newton and Wheeler have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Newton at 20% compared to 4% in Wheeler.
- More residents identify as two or more races in Newton at 11% compared to 2% in Wheeler.
- A greater percentage of American Indian residents live in Newton at 1% compared to 0% in Wheeler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Newton | Wheeler |
---|---|---|
Mental Health Not Good | 15.5% | 15.9% |
Physical Health Not Good | 9.9% | 10.8% |
Depression | 21.3% | 24.4% |
Smoking | 16.1% | 17.9% |
Binge Drinking | 17.3% | 23.6% |
Obesity | 40.1% | 37.4% |
Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Newton vs Wheeler
- In Wheeler, a higher percentage report poor mental health at 15.9% compared to 15.5% in Newton.
- Higher depression rates are seen in Wheeler at 24.4% versus 21.3% in Newton.
- Wheeler has a higher smoking rate at 17.9% compared to 16.1% in Newton.
- More residents engage in binge drinking in Wheeler at 23.6% compared to 17.3% in Newton.
- Obesity rates are higher in Newton at 40.1% compared to 37.4% in Wheeler.
- There is a higher percentage of disabled individuals in Wheeler at 24.0% compared to 13.0% in Newton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Newton | Wheeler |
---|---|---|
No Schooling | 0.5% (92) | 0.0% (Data is updating) |
High School Diploma | 15.3% (2,807) | 18.1% (60) |
Less than High School | 11.6% (2,127) | 16.3% (54) |
Bachelor's Degree and Higher | 19.4% (3,576) | 3.9% (13) |
Education Levels Comparison: Newton vs Wheeler
- A higher percentage of residents in Newton have no formal schooling at 0.5% compared to 0.0% in Wheeler.
- In Wheeler, the rate of residents with high school diplomas is higher at 18.1% compared to 15.3% in Newton.
- The percentage of residents with less than a high school education is higher in Wheeler at 16.3%, compared to 11.6% in Newton.
- A higher percentage of residents in Newton hold a bachelor's degree or higher at 19.4% compared to 3.9% in Wheeler.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.