Demographics details for Butler, PA vs Lake odessa, MI
Population Overview
Compare main population characteristics in Butler, PA vs Lake odessa, MI.
| Data | Butler | Lake odessa |
|---|---|---|
| Population | 13,176 | 2,062 |
| Median Age | 38.2 years | 36.0 years |
| Median Income | $39,546 | $66,397 |
| Married Families | 26.0% | 40.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Butler vs Lake odessa
- In Butler, the population is higher at 13,176, compared to 2,062 in Lake odessa.
- Residents in Butler have a higher median age of 38.2 years compared to 36.0 years in Lake odessa.
- Lake odessa has a higher median income of $66,397, compared to $39,546 in Butler.
- In Lake odessa, the percentage of married families is higher at 40.0%, compared to 26.0% in Butler.
- Butler has a higher poverty level at 12% compared to 10% in Lake odessa.
- The unemployment rate in Butler is higher at 4.2%, compared to 3.5% in Lake odessa.
Demographics
Demographics Butler vs Lake odessa provide insight into the diversity of the communities to compare.
| Demographic | Butler | Lake odessa |
|---|---|---|
| Black | 3 | 3 |
| White | 88 | 81 |
| Asian | 1 | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Lake odessa
- The percentage of Black residents is the same in both Butler and Lake odessa at 3%.
- Butler has a higher percentage of White residents at 88% compared to 81% in Lake odessa.
- Both Butler and Lake odessa have the same percentage of Asian residents at 1%.
- Lake odessa has a higher percentage of Hispanic residents at 6%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in Lake odessa at 9%, compared to 5% in Butler.
- The percentage of American Indian residents is the same in both Butler and Lake odessa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Lake odessa |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.5% |
| Physical Health Not Good | 14.5% | 11.1% |
| Depression | 24.4% | 24.5% |
| Smoking | 24.6% | 19.0% |
| Binge Drinking | 17.4% | 18.6% |
| Obesity | 38.2% | 35.7% |
| Disability Percentage | 23.0% | 15.0% |
Health Statistics Comparison: Butler vs Lake odessa
- More residents in Butler report poor mental health at 19.1% compared to 17.5% in Lake odessa.
- Higher depression rates are seen in Lake odessa at 24.5% versus 24.4% in Butler.
- Smoking is more prevalent in Butler at 24.6% compared to 19.0% in Lake odessa.
- More residents engage in binge drinking in Lake odessa at 18.6% compared to 17.4% in Butler.
- Obesity rates are higher in Butler at 38.2% compared to 35.7% in Lake odessa.
- Disability percentages are higher in Butler at 23.0% compared to 15.0% in Lake odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Lake odessa |
|---|---|---|
| No Schooling | 0.1% (14) | 0.2% (5) |
| High School Diploma | 23.6% (3,115) | 21.2% (438) |
| Less than High School | 9.3% (1,222) | 15.7% (324) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 10.8% (222) |
Education Levels Comparison: Butler vs Lake odessa
- In Lake odessa, a larger percentage of residents lack formal schooling at 0.2% compared to 0.1% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 23.6% compared to 21.2% in Lake odessa.
- The percentage of residents with less than a high school education is higher in Lake odessa at 15.7%, compared to 9.3% in Butler.
- A higher percentage of residents in Butler hold a bachelor's degree or higher at 15.6% compared to 10.8% in Lake odessa.
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.