Demographics details for Harlowton, MT vs Wapakoneta, OH
Population Overview
Compare main population characteristics in Harlowton, MT vs Wapakoneta, OH.
Data | Harlowton | Wapakoneta |
---|---|---|
Population | 933 | 9,776 |
Median Age | 50.7 years | 41.6 years |
Median Income | $55,536 | $63,008 |
Married Families | 50.0% | 42.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Harlowton vs Wapakoneta
- The population in Wapakoneta is higher at 9,776, compared to 933 in Harlowton.
- Residents in Harlowton have a higher median age of 50.7 years compared to 41.6 years in Wapakoneta.
- Wapakoneta has a higher median income of $63,008, compared to $55,536 in Harlowton.
- A higher percentage of married families is found in Harlowton at 50.0% compared to 42.0% in Wapakoneta.
- Harlowton has a higher poverty level at 15% compared to 10% in Wapakoneta.
- Wapakoneta has a higher unemployment rate at 4.5% compared to 3.0% in Harlowton.
Demographics
Demographics Harlowton vs Wapakoneta provide insight into the diversity of the communities to compare.
Demographic | Harlowton | Wapakoneta |
---|---|---|
Black | Data is updating | 1 |
White | 90 | 89 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | 5 |
Two or More Races | 1 | 5 |
American Indian | 4 | Data is updating |
Demographics Comparison: Harlowton vs Wapakoneta
- In Wapakoneta, the percentage of Black residents is higher at 1% compared to 0% in Harlowton.
- Harlowton has a higher percentage of White residents at 90% compared to 89% in Wapakoneta.
- Both Harlowton and Wapakoneta have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Harlowton and Wapakoneta at 5%.
- The percentage of residents identifying as two or more races is higher in Wapakoneta at 5%, compared to 1% in Harlowton.
- A greater percentage of American Indian residents live in Harlowton at 4% compared to 0% in Wapakoneta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Harlowton | Wapakoneta |
---|---|---|
Mental Health Not Good | 18.1% | 18.1% |
Physical Health Not Good | 12.9% | 12.3% |
Depression | 25.7% | 23.8% |
Smoking | 21.4% | 21.3% |
Binge Drinking | 21.7% | 18.8% |
Obesity | 36.0% | 38.8% |
Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Harlowton vs Wapakoneta
- Poor mental health levels are equal in both Harlowton and Wapakoneta at 18.1%.
- Depression is more prevalent in Harlowton at 25.7% compared to 23.8% in Wapakoneta.
- Smoking is more prevalent in Harlowton at 21.4% compared to 21.3% in Wapakoneta.
- Binge drinking is more common in Harlowton at 21.7% compared to 18.8% in Wapakoneta.
- Wapakoneta has higher obesity rates at 38.8% compared to 36.0% in Harlowton.
- Disability percentages are higher in Harlowton at 16.0% compared to 13.0% in Wapakoneta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Harlowton | Wapakoneta |
---|---|---|
No Schooling | 0.5% (5) | 0.1% (9) |
High School Diploma | 30.1% (281) | 26.9% (2,625) |
Less than High School | 17.0% (159) | 11.8% (1,157) |
Bachelor's Degree and Higher | 10.6% (99) | 14.0% (1,364) |
Education Levels Comparison: Harlowton vs Wapakoneta
- A higher percentage of residents in Harlowton have no formal schooling at 0.5% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Harlowton hold a high school diploma at 30.1% compared to 26.9% in Wapakoneta.
- More residents in Harlowton have less than a high school education at 17.0% compared to 11.8% in Wapakoneta.
- In Wapakoneta, a larger share of residents have a bachelor's degree or higher at 14.0% compared to 10.6% in Harlowton.
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.