Demographics details for Saint marys, PA vs Lamesa, TX
Population Overview
Compare main population characteristics in Saint marys, PA vs Lamesa, TX.
Data | Saint marys | Lamesa |
---|---|---|
Population | 12,520 | 8,425 |
Median Age | 50.5 years | 33.1 years |
Median Income | $61,364 | $39,434 |
Married Families | 43.0% | 31.0% |
Poverty Level | 9% | 18% |
Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Saint marys vs Lamesa
- In Saint marys, the population is higher at 12,520, compared to 8,425 in Lamesa.
- Residents in Saint marys have a higher median age of 50.5 years compared to 33.1 years in Lamesa.
- Saint marys has a higher median income of $61,364 compared to $39,434 in Lamesa.
- A higher percentage of married families is found in Saint marys at 43.0% compared to 31.0% in Lamesa.
- The poverty level is higher in Lamesa at 18%, compared to 9% in Saint marys.
- Lamesa has a higher unemployment rate at 5.1% compared to 4.5% in Saint marys.
Demographics
Demographics Saint marys vs Lamesa provide insight into the diversity of the communities to compare.
Demographic | Saint marys | Lamesa |
---|---|---|
Black | 1 | 3 |
White | 95 | 5 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 73 |
Two or More Races | 3 | 19 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint marys vs Lamesa
- In Lamesa, the percentage of Black residents is higher at 3% compared to 1% in Saint marys.
- Saint marys has a higher percentage of White residents at 95% compared to 5% in Lamesa.
- Both Saint marys and Lamesa have the same percentage of Asian residents at 0%.
- Lamesa has a higher percentage of Hispanic residents at 73%, compared to 1% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Lamesa at 19%, compared to 3% in Saint marys.
- The percentage of American Indian residents is the same in both Saint marys and Lamesa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saint marys | Lamesa |
---|---|---|
Mental Health Not Good | 16.8% | 19.7% |
Physical Health Not Good | 11.2% | 16.4% |
Depression | 23.8% | 24.0% |
Smoking | 19.4% | 21.6% |
Binge Drinking | 18.7% | 15.6% |
Obesity | 34.4% | 41.2% |
Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Saint marys vs Lamesa
- In Lamesa, a higher percentage report poor mental health at 19.7% compared to 16.8% in Saint marys.
- Higher depression rates are seen in Lamesa at 24.0% versus 23.8% in Saint marys.
- Lamesa has a higher smoking rate at 21.6% compared to 19.4% in Saint marys.
- Binge drinking is more common in Saint marys at 18.7% compared to 15.6% in Lamesa.
- Lamesa has higher obesity rates at 41.2% compared to 34.4% in Saint marys.
- There is a higher percentage of disabled individuals in Lamesa at 19.0% compared to 17.0% in Saint marys.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Saint marys | Lamesa |
---|---|---|
No Schooling | 0.5% (62) | 3.3% (278) |
High School Diploma | 36.9% (4,616) | 18.4% (1,547) |
Less than High School | 9.3% (1,170) | 34.2% (2,881) |
Bachelor's Degree and Higher | 15.1% (1,895) | 8.7% (736) |
Education Levels Comparison: Saint marys vs Lamesa
- In Lamesa, a larger percentage of residents lack formal schooling at 3.3% compared to 0.5% in Saint marys.
- A higher percentage of residents in Saint marys hold a high school diploma at 36.9% compared to 18.4% in Lamesa.
- The percentage of residents with less than a high school education is higher in Lamesa at 34.2%, compared to 9.3% in Saint marys.
- A higher percentage of residents in Saint marys hold a bachelor's degree or higher at 15.1% compared to 8.7% in Lamesa.
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.