Demographics details for Manhattan, KS vs Laurelville, OH
Population Overview
Compare main population characteristics in Manhattan, KS vs Laurelville, OH.
Data | Manhattan | Laurelville |
---|---|---|
Population | 53,829 | 506 |
Median Age | 24.7 years | 36.1 years |
Median Income | $55,316 | $50,357 |
Married Families | 29.0% | 41.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Manhattan vs Laurelville
- In Manhattan, the population is higher at 53,829, compared to 506 in Laurelville.
- The median age in Laurelville is higher at 36.1 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $50,357 in Laurelville.
- In Laurelville, the percentage of married families is higher at 41.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 12% in Laurelville.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.5% in Laurelville.
Demographics
Demographics Manhattan vs Laurelville provide insight into the diversity of the communities to compare.
Demographic | Manhattan | Laurelville |
---|---|---|
Black | 5 | Data is updating |
White | 74 | 88 |
Asian | 5 | Data is updating |
Hispanic | 8 | Data is updating |
Two or More Races | 7 | 12 |
American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Laurelville
- A higher percentage of Black residents are in Manhattan at 5% compared to 0% in Laurelville.
- The percentage of White residents is higher in Laurelville at 88% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 0% in Laurelville.
- The Hispanic community is larger in Manhattan at 8% compared to 0% in Laurelville.
- The percentage of residents identifying as two or more races is higher in Laurelville at 12%, compared to 7% in Manhattan.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Laurelville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manhattan | Laurelville |
---|---|---|
Mental Health Not Good | 15.7% | 20.7% |
Physical Health Not Good | 10.1% | 14.8% |
Depression | 20.2% | 26.8% |
Smoking | 16.0% | 27.9% |
Binge Drinking | 20.6% | 17.0% |
Obesity | 32.2% | 45.9% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Manhattan vs Laurelville
- In Laurelville, a higher percentage report poor mental health at 20.7% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Laurelville at 26.8% versus 20.2% in Manhattan.
- Laurelville has a higher smoking rate at 27.9% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.0% in Laurelville.
- Laurelville has higher obesity rates at 45.9% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Laurelville at 20.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manhattan | Laurelville |
---|---|---|
No Schooling | 0.5% (256) | 0.0% (Data is updating) |
High School Diploma | 5.8% (3,138) | 41.5% (210) |
Less than High School | 4.2% (2,256) | 18.2% (92) |
Bachelor's Degree and Higher | 26.0% (14,017) | 2.8% (14) |
Education Levels Comparison: Manhattan vs Laurelville
- A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.0% in Laurelville.
- In Laurelville, the rate of residents with high school diplomas is higher at 41.5% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Laurelville at 18.2%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 2.8% in Laurelville.
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.