Demographics details for Lamesa, TX vs Pasadena, MD
Population Overview
Compare main population characteristics in Lamesa, TX vs Pasadena, MD.
| Data | Lamesa | Pasadena |
|---|---|---|
| Population | 8,425 | 32,161 |
| Median Age | 33.1 years | 35.1 years |
| Median Income | $39,434 | $113,944 |
| Married Families | 31.0% | 43.0% |
| Poverty Level | 18% | 6% |
| Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Lamesa vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 8,425 in Lamesa.
- The median age in Pasadena is higher at 35.1 years, compared to 33.1 years in Lamesa.
- Pasadena has a higher median income of $113,944, compared to $39,434 in Lamesa.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 31.0% in Lamesa.
- Lamesa has a higher poverty level at 18% compared to 6% in Pasadena.
- The unemployment rate in Lamesa is higher at 5.1%, compared to 4.5% in Pasadena.
Demographics
Demographics Lamesa vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Lamesa | Pasadena |
|---|---|---|
| Black | 3 | 17 |
| White | 5 | 66 |
| Asian | Data is updating | 4 |
| Hispanic | 73 | 7 |
| Two or More Races | 19 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lamesa vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 17% compared to 3% in Lamesa.
- The percentage of White residents is higher in Pasadena at 66% compared to 5% in Lamesa.
- In Pasadena, the Asian population stands at 4%, greater than 0% in Lamesa.
- The Hispanic community is larger in Lamesa at 73% compared to 7% in Pasadena.
- More residents identify as two or more races in Lamesa at 19% compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Lamesa and Pasadena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lamesa | Pasadena |
|---|---|---|
| Mental Health Not Good | 19.7% | 15.4% |
| Physical Health Not Good | 16.4% | 9.3% |
| Depression | 24.0% | 21.4% |
| Smoking | 21.6% | 13.2% |
| Binge Drinking | 15.6% | 17.8% |
| Obesity | 41.2% | 35.6% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Lamesa vs Pasadena
- More residents in Lamesa report poor mental health at 19.7% compared to 15.4% in Pasadena.
- Depression is more prevalent in Lamesa at 24.0% compared to 21.4% in Pasadena.
- Smoking is more prevalent in Lamesa at 21.6% compared to 13.2% in Pasadena.
- More residents engage in binge drinking in Pasadena at 17.8% compared to 15.6% in Lamesa.
- Obesity rates are higher in Lamesa at 41.2% compared to 35.6% in Pasadena.
- Disability percentages are higher in Lamesa at 19.0% compared to 10.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lamesa | Pasadena |
|---|---|---|
| No Schooling | 3.3% (278) | 0.6% (191) |
| High School Diploma | 18.4% (1,547) | 17.5% (5,624) |
| Less than High School | 34.2% (2,881) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 8.7% (736) | 23.8% (7,658) |
Education Levels Comparison: Lamesa vs Pasadena
- A higher percentage of residents in Lamesa have no formal schooling at 3.3% compared to 0.6% in Pasadena.
- A higher percentage of residents in Lamesa hold a high school diploma at 18.4% compared to 17.5% in Pasadena.
- More residents in Lamesa have less than a high school education at 34.2% compared to 8.8% in Pasadena.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% 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.