Demographics details for San angelo, TX vs Atlantic, PA
Population Overview
Compare main population characteristics in San angelo, TX vs Atlantic, PA.
Data | San angelo | Atlantic |
---|---|---|
Population | 99,112 | 64 |
Median Age | 34.7 years | 36.8 years |
Median Income | $65,040 | $76,250 |
Married Families | 37.0% | 41.0% |
Poverty Level | 13% | Data is updating |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: San angelo vs Atlantic
- In San angelo, the population is higher at 99,112, compared to 64 in Atlantic.
- The median age in Atlantic is higher at 36.8 years, compared to 34.7 years in San angelo.
- Atlantic has a higher median income of $76,250, compared to $65,040 in San angelo.
- In Atlantic, the percentage of married families is higher at 41.0%, compared to 37.0% in San angelo.
- San angelo has a higher poverty level at 13% compared to 0% in Atlantic.
- Atlantic has a higher unemployment rate at 4.2% compared to 4.1% in San angelo.
Demographics
Demographics San angelo vs Atlantic provide insight into the diversity of the communities to compare.
Demographic | San angelo | Atlantic |
---|---|---|
Black | 5 | Data is updating |
White | 33 | 88 |
Asian | 1 | Data is updating |
Hispanic | 44 | Data is updating |
Two or More Races | 16 | 12 |
American Indian | 1 | Data is updating |
Demographics Comparison: San angelo vs Atlantic
- A higher percentage of Black residents are in San angelo at 5% compared to 0% in Atlantic.
- The percentage of White residents is higher in Atlantic at 88% compared to 33% in San angelo.
- The Asian population is larger in San angelo at 1% compared to 0% in Atlantic.
- The Hispanic community is larger in San angelo at 44% compared to 0% in Atlantic.
- More residents identify as two or more races in San angelo at 16% compared to 12% in Atlantic.
- A greater percentage of American Indian residents live in San angelo at 1% compared to 0% in Atlantic.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San angelo | Atlantic |
---|---|---|
Mental Health Not Good | 17.2% | 18.9% |
Physical Health Not Good | 12.0% | 13.9% |
Depression | 23.9% | 27.0% |
Smoking | 16.3% | 26.3% |
Binge Drinking | 18.3% | 17.9% |
Obesity | 37.8% | 40.6% |
Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: San angelo vs Atlantic
- In Atlantic, a higher percentage report poor mental health at 18.9% compared to 17.2% in San angelo.
- Higher depression rates are seen in Atlantic at 27.0% versus 23.9% in San angelo.
- Atlantic has a higher smoking rate at 26.3% compared to 16.3% in San angelo.
- Binge drinking is more common in San angelo at 18.3% compared to 17.9% in Atlantic.
- Atlantic has higher obesity rates at 40.6% compared to 37.8% in San angelo.
- Disability percentages are higher in San angelo at 14.0% compared to 8.0% in Atlantic.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San angelo | Atlantic |
---|---|---|
No Schooling | 1.5% (1,444) | 0.0% (Data is updating) |
High School Diploma | 14.0% (13,867) | 20.3% (13) |
Less than High School | 17.7% (17,520) | 21.9% (14) |
Bachelor's Degree and Higher | 15.8% (15,619) | 3.1% (2) |
Education Levels Comparison: San angelo vs Atlantic
- A higher percentage of residents in San angelo have no formal schooling at 1.5% compared to 0.0% in Atlantic.
- In Atlantic, the rate of residents with high school diplomas is higher at 20.3% compared to 14.0% in San angelo.
- The percentage of residents with less than a high school education is higher in Atlantic at 21.9%, compared to 17.7% in San angelo.
- A higher percentage of residents in San angelo hold a bachelor's degree or higher at 15.8% compared to 3.1% in Atlantic.
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.