Demographics details for Laurelville, OH vs Coleman, OK
Population Overview
Compare main population characteristics in Laurelville, OH vs Coleman, OK.
Data | Laurelville | Coleman |
---|---|---|
Population | 506 | 297 |
Median Age | 36.1 years | 39.7 years |
Median Income | $50,357 | $45,938 |
Married Families | 41.0% | 35.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Laurelville vs Coleman
- In Laurelville, the population is higher at 506, compared to 297 in Coleman.
- The median age in Coleman is higher at 39.7 years, compared to 36.1 years in Laurelville.
- Laurelville has a higher median income of $50,357 compared to $45,938 in Coleman.
- A higher percentage of married families is found in Laurelville at 41.0% compared to 35.0% in Coleman.
- The poverty level is identical in both Laurelville and Coleman at 12%.
- The unemployment rate is the same in both Laurelville and Coleman at 3.5%.
Demographics
Demographics Laurelville vs Coleman provide insight into the diversity of the communities to compare.
Demographic | Laurelville | Coleman |
---|---|---|
Black | Data is updating | 2 |
White | 88 | 77 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 1 |
Two or More Races | 12 | 9 |
American Indian | Data is updating | 11 |
Demographics Comparison: Laurelville vs Coleman
- In Coleman, the percentage of Black residents is higher at 2% compared to 0% in Laurelville.
- Laurelville has a higher percentage of White residents at 88% compared to 77% in Coleman.
- Both Laurelville and Coleman have the same percentage of Asian residents at 0%.
- Coleman has a higher percentage of Hispanic residents at 1%, compared to 0% in Laurelville.
- More residents identify as two or more races in Laurelville at 12% compared to 9% in Coleman.
- In Coleman, the percentage of American Indian residents is higher at 11%, compared to 0% in Laurelville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurelville | Coleman |
---|---|---|
Mental Health Not Good | 20.7% | 19.9% |
Physical Health Not Good | 14.8% | 13.9% |
Depression | 26.8% | 26.9% |
Smoking | 27.9% | 22.9% |
Binge Drinking | 17.0% | 14.8% |
Obesity | 45.9% | 40.8% |
Disability Percentage | 20.0% | 29.0% |
Health Statistics Comparison: Laurelville vs Coleman
- More residents in Laurelville report poor mental health at 20.7% compared to 19.9% in Coleman.
- Higher depression rates are seen in Coleman at 26.9% versus 26.8% in Laurelville.
- Smoking is more prevalent in Laurelville at 27.9% compared to 22.9% in Coleman.
- Binge drinking is more common in Laurelville at 17.0% compared to 14.8% in Coleman.
- Obesity rates are higher in Laurelville at 45.9% compared to 40.8% in Coleman.
- There is a higher percentage of disabled individuals in Coleman at 29.0% compared to 20.0% in Laurelville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurelville | Coleman |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 41.5% (210) | 28.6% (85) |
Less than High School | 18.2% (92) | 4.0% (12) |
Bachelor's Degree and Higher | 2.8% (14) | 11.1% (33) |
Education Levels Comparison: Laurelville vs Coleman
- The percentage of residents with no formal schooling is the same in both Laurelville and Coleman at 0.0%.
- A higher percentage of residents in Laurelville hold a high school diploma at 41.5% compared to 28.6% in Coleman.
- More residents in Laurelville have less than a high school education at 18.2% compared to 4.0% in Coleman.
- In Coleman, a larger share of residents have a bachelor's degree or higher at 11.1% 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.