Demographics details for Laurelville, OH vs Shepherd, MT
Population Overview
Compare main population characteristics in Laurelville, OH vs Shepherd, MT.
Data | Laurelville | Shepherd |
---|---|---|
Population | 506 | 772 |
Median Age | 36.1 years | 40.5 years |
Median Income | $50,357 | $125,179 |
Married Families | 41.0% | 47.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Laurelville vs Shepherd
- The population in Shepherd is higher at 772, compared to 506 in Laurelville.
- The median age in Shepherd is higher at 40.5 years, compared to 36.1 years in Laurelville.
- Shepherd has a higher median income of $125,179, compared to $50,357 in Laurelville.
- In Shepherd, the percentage of married families is higher at 47.0%, compared to 41.0% in Laurelville.
- Laurelville has a higher poverty level at 12% compared to 5% in Shepherd.
- The unemployment rate in Laurelville is higher at 3.5%, compared to 2.5% in Shepherd.
Demographics
Demographics Laurelville vs Shepherd provide insight into the diversity of the communities to compare.
Demographic | Laurelville | Shepherd |
---|---|---|
Black | Data is updating | Data is updating |
White | 88 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 12 | Data is updating |
American Indian | Data is updating | 14 |
Demographics Comparison: Laurelville vs Shepherd
- The percentage of Black residents is the same in both Laurelville and Shepherd at 0%.
- Laurelville has a higher percentage of White residents at 88% compared to 86% in Shepherd.
- Both Laurelville and Shepherd have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Laurelville and Shepherd at 0%.
- More residents identify as two or more races in Laurelville at 12% compared to 0% in Shepherd.
- In Shepherd, the percentage of American Indian residents is higher at 14%, compared to 0% in Laurelville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurelville | Shepherd |
---|---|---|
Mental Health Not Good | 20.7% | 16.7% |
Physical Health Not Good | 14.8% | 11.2% |
Depression | 26.8% | 28.0% |
Smoking | 27.9% | 16.7% |
Binge Drinking | 17.0% | 23.7% |
Obesity | 45.9% | 33.2% |
Disability Percentage | 20.0% | 6.0% |
Health Statistics Comparison: Laurelville vs Shepherd
- More residents in Laurelville report poor mental health at 20.7% compared to 16.7% in Shepherd.
- Higher depression rates are seen in Shepherd at 28.0% versus 26.8% in Laurelville.
- Smoking is more prevalent in Laurelville at 27.9% compared to 16.7% in Shepherd.
- More residents engage in binge drinking in Shepherd at 23.7% compared to 17.0% in Laurelville.
- Obesity rates are higher in Laurelville at 45.9% compared to 33.2% in Shepherd.
- Disability percentages are higher in Laurelville at 20.0% compared to 6.0% in Shepherd.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurelville | Shepherd |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 41.5% (210) | 16.2% (125) |
Less than High School | 18.2% (92) | 8.0% (62) |
Bachelor's Degree and Higher | 2.8% (14) | 17.9% (138) |
Education Levels Comparison: Laurelville vs Shepherd
- The percentage of residents with no formal schooling is the same in both Laurelville and Shepherd at 0.0%.
- A higher percentage of residents in Laurelville hold a high school diploma at 41.5% compared to 16.2% in Shepherd.
- More residents in Laurelville have less than a high school education at 18.2% compared to 8.0% in Shepherd.
- In Shepherd, a larger share of residents have a bachelor's degree or higher at 17.9% 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.