Demographics details for La pryor, TX vs Senecaville, OH
Population Overview
Compare main population characteristics in La pryor, TX vs Senecaville, OH.
Data | La pryor | Senecaville |
---|---|---|
Population | 1,090 | 415 |
Median Age | 25.3 years | 36.4 years |
Median Income | $37,250 | $48,036 |
Married Families | 34.0% | 43.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: La pryor vs Senecaville
- In La pryor, the population is higher at 1,090, compared to 415 in Senecaville.
- The median age in Senecaville is higher at 36.4 years, compared to 25.3 years in La pryor.
- Senecaville has a higher median income of $48,036, compared to $37,250 in La pryor.
- In Senecaville, the percentage of married families is higher at 43.0%, compared to 34.0% in La pryor.
- The poverty level is higher in Senecaville at 10%, compared to 0% in La pryor.
- The unemployment rate is the same in both La pryor and Senecaville at 4.5%.
Demographics
Demographics La pryor vs Senecaville provide insight into the diversity of the communities to compare.
Demographic | La pryor | Senecaville |
---|---|---|
Black | 6 | 3 |
White | 15 | 89 |
Asian | Data is updating | Data is updating |
Hispanic | 94 | 1 |
Two or More Races | 41 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: La pryor vs Senecaville
- A higher percentage of Black residents are in La pryor at 6% compared to 3% in Senecaville.
- The percentage of White residents is higher in Senecaville at 89% compared to 15% in La pryor.
- Both La pryor and Senecaville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in La pryor at 94% compared to 1% in Senecaville.
- More residents identify as two or more races in La pryor at 41% compared to 7% in Senecaville.
- A greater percentage of American Indian residents live in La pryor at 1% compared to 0% in Senecaville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | La pryor | Senecaville |
---|---|---|
Mental Health Not Good | 19.8% | 18.4% |
Physical Health Not Good | 18.0% | 13.1% |
Depression | 23.1% | 24.5% |
Smoking | 20.6% | 22.6% |
Binge Drinking | 14.5% | 18.7% |
Obesity | 45.0% | 42.9% |
Disability Percentage | 13.0% | 26.0% |
Health Statistics Comparison: La pryor vs Senecaville
- More residents in La pryor report poor mental health at 19.8% compared to 18.4% in Senecaville.
- Higher depression rates are seen in Senecaville at 24.5% versus 23.1% in La pryor.
- Senecaville has a higher smoking rate at 22.6% compared to 20.6% in La pryor.
- More residents engage in binge drinking in Senecaville at 18.7% compared to 14.5% in La pryor.
- Obesity rates are higher in La pryor at 45.0% compared to 42.9% in Senecaville.
- There is a higher percentage of disabled individuals in Senecaville at 26.0% compared to 13.0% in La pryor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | La pryor | Senecaville |
---|---|---|
No Schooling | 3.0% (33) | 0.0% (Data is updating) |
High School Diploma | 7.9% (86) | 31.3% (130) |
Less than High School | 43.3% (472) | 19.3% (80) |
Bachelor's Degree and Higher | 2.1% (23) | 5.3% (22) |
Education Levels Comparison: La pryor vs Senecaville
- A higher percentage of residents in La pryor have no formal schooling at 3.0% compared to 0.0% in Senecaville.
- In Senecaville, the rate of residents with high school diplomas is higher at 31.3% compared to 7.9% in La pryor.
- More residents in La pryor have less than a high school education at 43.3% compared to 19.3% in Senecaville.
- In Senecaville, a larger share of residents have a bachelor's degree or higher at 5.3% compared to 2.1% in La pryor.
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.