Demographics details for Olcott, NY vs Kenosha, WI
Population Overview
Compare main population characteristics in Olcott, NY vs Kenosha, WI.
| Data | Olcott | Kenosha |
|---|---|---|
| Population | 1,041 | 98,484 |
| Median Age | 47.1 years | 36.3 years |
| Median Income | $70,606 | $64,963 |
| Married Families | 29.0% | 35.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Olcott vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 1,041 in Olcott.
- Residents in Olcott have a higher median age of 47.1 years compared to 36.3 years in Kenosha.
- Olcott has a higher median income of $70,606 compared to $64,963 in Kenosha.
- In Kenosha, the percentage of married families is higher at 35.0%, compared to 29.0% in Olcott.
- The poverty level is higher in Kenosha at 13%, compared to 10% in Olcott.
- The unemployment rate in Olcott is higher at 4.5%, compared to 4.1% in Kenosha.
Demographics
Demographics Olcott vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Olcott | Kenosha |
|---|---|---|
| Black | Data is updating | 10 |
| White | 99 | 57 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 18 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Olcott vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 0% in Olcott.
- Olcott has a higher percentage of White residents at 99% compared to 57% in Kenosha.
- In Kenosha, the Asian population stands at 2%, greater than 0% in Olcott.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 1% in Olcott.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 0% in Olcott.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Olcott.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Olcott | Kenosha |
|---|---|---|
| Mental Health Not Good | 17.6% | 15.7% |
| Physical Health Not Good | 11.6% | 11.1% |
| Depression | 26.7% | 23.4% |
| Smoking | 22.8% | 17.1% |
| Binge Drinking | 18.4% | 22.4% |
| Obesity | 35.9% | 38.8% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Olcott vs Kenosha
- More residents in Olcott report poor mental health at 17.6% compared to 15.7% in Kenosha.
- Depression is more prevalent in Olcott at 26.7% compared to 23.4% in Kenosha.
- Smoking is more prevalent in Olcott at 22.8% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 18.4% in Olcott.
- Kenosha has higher obesity rates at 38.8% compared to 35.9% in Olcott.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 11.0% in Olcott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Olcott | Kenosha |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (1,036) |
| High School Diploma | 27.3% (284) | 15.4% (15,122) |
| Less than High School | 5.8% (60) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 13.5% (141) | 18.1% (17,852) |
Education Levels Comparison: Olcott vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Olcott.
- A higher percentage of residents in Olcott hold a high school diploma at 27.3% compared to 15.4% in Kenosha.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 5.8% in Olcott.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 13.5% in Olcott.
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.