Demographics details for Senecaville, OH vs Manitowoc, WI
Population Overview
Compare main population characteristics in Senecaville, OH vs Manitowoc, WI.
Data | Senecaville | Manitowoc |
---|---|---|
Population | 415 | 34,570 |
Median Age | 36.4 years | 42.9 years |
Median Income | $48,036 | $60,040 |
Married Families | 43.0% | 36.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.5 | 3.3 |
Population Comparison: Senecaville vs Manitowoc
- The population in Manitowoc is higher at 34,570, compared to 415 in Senecaville.
- The median age in Manitowoc is higher at 42.9 years, compared to 36.4 years in Senecaville.
- Manitowoc has a higher median income of $60,040, compared to $48,036 in Senecaville.
- A higher percentage of married families is found in Senecaville at 43.0% compared to 36.0% in Manitowoc.
- Senecaville has a higher poverty level at 10% compared to 8% in Manitowoc.
- The unemployment rate in Senecaville is higher at 4.5%, compared to 3.3% in Manitowoc.
Demographics
Demographics Senecaville vs Manitowoc provide insight into the diversity of the communities to compare.
Demographic | Senecaville | Manitowoc |
---|---|---|
Black | 3 | 2 |
White | 89 | 83 |
Asian | Data is updating | 5 |
Hispanic | 1 | 6 |
Two or More Races | 7 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Senecaville vs Manitowoc
- A higher percentage of Black residents are in Senecaville at 3% compared to 2% in Manitowoc.
- Senecaville has a higher percentage of White residents at 89% compared to 83% in Manitowoc.
- In Manitowoc, the Asian population stands at 5%, greater than 0% in Senecaville.
- Manitowoc has a higher percentage of Hispanic residents at 6%, compared to 1% in Senecaville.
- More residents identify as two or more races in Senecaville at 7% compared to 4% in Manitowoc.
- The percentage of American Indian residents is the same in both Senecaville and Manitowoc at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Senecaville | Manitowoc |
---|---|---|
Mental Health Not Good | 18.4% | 15.1% |
Physical Health Not Good | 13.1% | 10.4% |
Depression | 24.5% | 23.4% |
Smoking | 22.6% | 16.9% |
Binge Drinking | 18.7% | 23.4% |
Obesity | 42.9% | 36.0% |
Disability Percentage | 26.0% | 14.0% |
Health Statistics Comparison: Senecaville vs Manitowoc
- More residents in Senecaville report poor mental health at 18.4% compared to 15.1% in Manitowoc.
- Depression is more prevalent in Senecaville at 24.5% compared to 23.4% in Manitowoc.
- Smoking is more prevalent in Senecaville at 22.6% compared to 16.9% in Manitowoc.
- More residents engage in binge drinking in Manitowoc at 23.4% compared to 18.7% in Senecaville.
- Obesity rates are higher in Senecaville at 42.9% compared to 36.0% in Manitowoc.
- Disability percentages are higher in Senecaville at 26.0% compared to 14.0% in Manitowoc.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Senecaville | Manitowoc |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.5% (515) |
High School Diploma | 31.3% (130) | 22.3% (7,700) |
Less than High School | 19.3% (80) | 11.0% (3,814) |
Bachelor's Degree and Higher | 5.3% (22) | 18.0% (6,216) |
Education Levels Comparison: Senecaville vs Manitowoc
- In Manitowoc, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Senecaville.
- A higher percentage of residents in Senecaville hold a high school diploma at 31.3% compared to 22.3% in Manitowoc.
- More residents in Senecaville have less than a high school education at 19.3% compared to 11.0% in Manitowoc.
- In Manitowoc, a larger share of residents have a bachelor's degree or higher at 18.0% compared to 5.3% in Senecaville.
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.