Demographics details for Springer, OK vs Kenosha, WI
Population Overview
Compare main population characteristics in Springer, OK vs Kenosha, WI.
Data | Springer | Kenosha |
---|---|---|
Population | 694 | 98,484 |
Median Age | 30.3 years | 36.3 years |
Median Income | $51,630 | $64,963 |
Married Families | 42.0% | 35.0% |
Poverty Level | 17% | 13% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Springer vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 694 in Springer.
- The median age in Kenosha is higher at 36.3 years, compared to 30.3 years in Springer.
- Kenosha has a higher median income of $64,963, compared to $51,630 in Springer.
- A higher percentage of married families is found in Springer at 42.0% compared to 35.0% in Kenosha.
- Springer has a higher poverty level at 17% compared to 13% in Kenosha.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.5% in Springer.
Demographics
Demographics Springer vs Kenosha provide insight into the diversity of the communities to compare.
Demographic | Springer | Kenosha |
---|---|---|
Black | 5 | 10 |
White | 54 | 57 |
Asian | Data is updating | 2 |
Hispanic | 7 | 18 |
Two or More Races | 21 | 12 |
American Indian | 13 | 1 |
Demographics Comparison: Springer vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 5% in Springer.
- The percentage of White residents is higher in Kenosha at 57% compared to 54% in Springer.
- In Kenosha, the Asian population stands at 2%, greater than 0% in Springer.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 7% in Springer.
- More residents identify as two or more races in Springer at 21% compared to 12% in Kenosha.
- A greater percentage of American Indian residents live in Springer at 13% compared to 1% in Kenosha.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springer | Kenosha |
---|---|---|
Mental Health Not Good | 18.7% | 15.7% |
Physical Health Not Good | 12.6% | 11.1% |
Depression | 26.0% | 23.4% |
Smoking | 20.5% | 17.1% |
Binge Drinking | 15.6% | 22.4% |
Obesity | 39.9% | 38.8% |
Disability Percentage | 29.0% | 14.0% |
Health Statistics Comparison: Springer vs Kenosha
- More residents in Springer report poor mental health at 18.7% compared to 15.7% in Kenosha.
- Depression is more prevalent in Springer at 26.0% compared to 23.4% in Kenosha.
- Smoking is more prevalent in Springer at 20.5% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 15.6% in Springer.
- Obesity rates are higher in Springer at 39.9% compared to 38.8% in Kenosha.
- Disability percentages are higher in Springer at 29.0% compared to 14.0% in Kenosha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springer | Kenosha |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (1,036) |
High School Diploma | 19.2% (133) | 15.4% (15,122) |
Less than High School | 19.6% (136) | 12.9% (12,739) |
Bachelor's Degree and Higher | 9.4% (65) | 18.1% (17,852) |
Education Levels Comparison: Springer vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Springer.
- A higher percentage of residents in Springer hold a high school diploma at 19.2% compared to 15.4% in Kenosha.
- More residents in Springer have less than a high school education at 19.6% compared to 12.9% in Kenosha.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 9.4% in Springer.
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.