Demographics details for Laurel, MT vs Wapakoneta, OH
Population Overview
Compare main population characteristics in Laurel, MT vs Wapakoneta, OH.
| Data | Laurel | Wapakoneta |
|---|---|---|
| Population | 7,203 | 9,776 |
| Median Age | 36.5 years | 41.6 years |
| Median Income | $62,250 | $63,008 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Laurel vs Wapakoneta
- The population in Wapakoneta is higher at 9,776, compared to 7,203 in Laurel.
- The median age in Wapakoneta is higher at 41.6 years, compared to 36.5 years in Laurel.
- Wapakoneta has a higher median income of $63,008, compared to $62,250 in Laurel.
- In Wapakoneta, the percentage of married families is higher at 42.0%, compared to 37.0% in Laurel.
- The poverty level is higher in Wapakoneta at 10%, compared to 7% in Laurel.
- Wapakoneta has a higher unemployment rate at 4.5% compared to 3.5% in Laurel.
Demographics
Demographics Laurel vs Wapakoneta provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Wapakoneta |
|---|---|---|
| Black | Data is updating | 1 |
| White | 83 | 89 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 5 |
| Two or More Races | 7 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Wapakoneta
- In Wapakoneta, the percentage of Black residents is higher at 1% compared to 0% in Laurel.
- The percentage of White residents is higher in Wapakoneta at 89% compared to 83% in Laurel.
- The Asian population is larger in Laurel at 2% compared to 0% in Wapakoneta.
- The Hispanic community is larger in Laurel at 7% compared to 5% in Wapakoneta.
- More residents identify as two or more races in Laurel at 7% compared to 5% in Wapakoneta.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Wapakoneta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Wapakoneta |
|---|---|---|
| Mental Health Not Good | 16.4% | 18.1% |
| Physical Health Not Good | 10.8% | 12.3% |
| Depression | 27.8% | 23.8% |
| Smoking | 15.8% | 21.3% |
| Binge Drinking | 23.8% | 18.8% |
| Obesity | 32.2% | 38.8% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Laurel vs Wapakoneta
- In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 16.4% in Laurel.
- Depression is more prevalent in Laurel at 27.8% compared to 23.8% in Wapakoneta.
- Wapakoneta has a higher smoking rate at 21.3% compared to 15.8% in Laurel.
- Binge drinking is more common in Laurel at 23.8% compared to 18.8% in Wapakoneta.
- Wapakoneta has higher obesity rates at 38.8% compared to 32.2% in Laurel.
- Disability percentages are the same in both Laurel and Wapakoneta at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | Wapakoneta |
|---|---|---|
| No Schooling | 0.2% (14) | 0.1% (9) |
| High School Diploma | 21.7% (1,563) | 26.9% (2,625) |
| Less than High School | 7.7% (556) | 11.8% (1,157) |
| Bachelor's Degree and Higher | 10.8% (780) | 14.0% (1,364) |
Education Levels Comparison: Laurel vs Wapakoneta
- A higher percentage of residents in Laurel have no formal schooling at 0.2% compared to 0.1% in Wapakoneta.
- In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 21.7% in Laurel.
- The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 7.7% in Laurel.
- In Wapakoneta, a larger share of residents have a bachelor's degree or higher at 14.0% compared to 10.8% in Laurel.
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.