Demographics details for La mesa, CA vs Mount pocono, PA
Population Overview
Compare main population characteristics in La mesa, CA vs Mount pocono, PA.
Data | La mesa | Mount pocono |
---|---|---|
Population | 60,360 | 3,071 |
Median Age | 36.3 years | 38.5 years |
Median Income | $83,649 | $81,127 |
Married Families | 35.0% | 30.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.3 | 4.8 |
Population Comparison: La mesa vs Mount pocono
- In La mesa, the population is higher at 60,360, compared to 3,071 in Mount pocono.
- The median age in Mount pocono is higher at 38.5 years, compared to 36.3 years in La mesa.
- La mesa has a higher median income of $83,649 compared to $81,127 in Mount pocono.
- A higher percentage of married families is found in La mesa at 35.0% compared to 30.0% in Mount pocono.
- The poverty level is identical in both La mesa and Mount pocono at 10%.
- Mount pocono has a higher unemployment rate at 4.8% compared to 4.3% in La mesa.
Demographics
Demographics La mesa vs Mount pocono provide insight into the diversity of the communities to compare.
Demographic | La mesa | Mount pocono |
---|---|---|
Black | 8 | 16 |
White | 42 | 41 |
Asian | 7 | 6 |
Hispanic | 28 | 33 |
Two or More Races | 15 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: La mesa vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 8% in La mesa.
- La mesa has a higher percentage of White residents at 42% compared to 41% in Mount pocono.
- The Asian population is larger in La mesa at 7% compared to 6% in Mount pocono.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 28% in La mesa.
- More residents identify as two or more races in La mesa at 15% compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both La mesa and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | La mesa | Mount pocono |
---|---|---|
Mental Health Not Good | 16.3% | 16.1% |
Physical Health Not Good | 10.5% | 11.8% |
Depression | 18.6% | 20.1% |
Smoking | 11.5% | 18.1% |
Binge Drinking | 19.1% | 16.1% |
Obesity | 24.6% | 34.3% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: La mesa vs Mount pocono
- More residents in La mesa report poor mental health at 16.3% compared to 16.1% in Mount pocono.
- Higher depression rates are seen in Mount pocono at 20.1% versus 18.6% in La mesa.
- Mount pocono has a higher smoking rate at 18.1% compared to 11.5% in La mesa.
- Binge drinking is more common in La mesa at 19.1% compared to 16.1% in Mount pocono.
- Mount pocono has higher obesity rates at 34.3% compared to 24.6% in La mesa.
- There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 11.0% in La mesa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | La mesa | Mount pocono |
---|---|---|
No Schooling | 0.6% (346) | 3.2% (98) |
High School Diploma | 10.8% (6,496) | 27.4% (842) |
Less than High School | 7.9% (4,771) | 18.1% (555) |
Bachelor's Degree and Higher | 26.9% (16,262) | 15.9% (488) |
Education Levels Comparison: La mesa vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.6% in La mesa.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 10.8% in La mesa.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 7.9% in La mesa.
- A higher percentage of residents in La mesa hold a bachelor's degree or higher at 26.9% compared to 15.9% in Mount pocono.
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.