Demographics details for Griffin, GA vs Pasadena, MD
Population Overview
Compare main population characteristics in Griffin, GA vs Pasadena, MD.
Data | Griffin | Pasadena |
---|---|---|
Population | 23,693 | 32,161 |
Median Age | 33.2 years | 35.1 years |
Median Income | $42,047 | $113,944 |
Married Families | 26.0% | 43.0% |
Poverty Level | 15% | 6% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Griffin vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 23,693 in Griffin.
- The median age in Pasadena is higher at 35.1 years, compared to 33.2 years in Griffin.
- Pasadena has a higher median income of $113,944, compared to $42,047 in Griffin.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 26.0% in Griffin.
- Griffin has a higher poverty level at 15% compared to 6% in Pasadena.
- The unemployment rate is the same in both Griffin and Pasadena at 4.5%.
Demographics
Demographics Griffin vs Pasadena provide insight into the diversity of the communities to compare.
Demographic | Griffin | Pasadena |
---|---|---|
Black | 52 | 17 |
White | 36 | 66 |
Asian | 1 | 4 |
Hispanic | 5 | 7 |
Two or More Races | 5 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Griffin vs Pasadena
- A higher percentage of Black residents are in Griffin at 52% compared to 17% in Pasadena.
- The percentage of White residents is higher in Pasadena at 66% compared to 36% in Griffin.
- In Pasadena, the Asian population stands at 4%, greater than 1% in Griffin.
- Pasadena has a higher percentage of Hispanic residents at 7%, compared to 5% in Griffin.
- The percentage of residents identifying as two or more races is higher in Pasadena at 6%, compared to 5% in Griffin.
- A greater percentage of American Indian residents live in Griffin at 1% compared to 0% in Pasadena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Griffin | Pasadena |
---|---|---|
Mental Health Not Good | 18.8% | 15.4% |
Physical Health Not Good | 14.6% | 9.3% |
Depression | 19.7% | 21.4% |
Smoking | 22.4% | 13.2% |
Binge Drinking | 13.4% | 17.8% |
Obesity | 38.8% | 35.6% |
Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Griffin vs Pasadena
- More residents in Griffin report poor mental health at 18.8% compared to 15.4% in Pasadena.
- Higher depression rates are seen in Pasadena at 21.4% versus 19.7% in Griffin.
- Smoking is more prevalent in Griffin at 22.4% compared to 13.2% in Pasadena.
- More residents engage in binge drinking in Pasadena at 17.8% compared to 13.4% in Griffin.
- Obesity rates are higher in Griffin at 38.8% compared to 35.6% in Pasadena.
- Disability percentages are higher in Griffin at 13.0% 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 | Griffin | Pasadena |
---|---|---|
No Schooling | 2.2% (517) | 0.6% (191) |
High School Diploma | 22.6% (5,347) | 17.5% (5,624) |
Less than High School | 16.3% (3,859) | 8.8% (2,835) |
Bachelor's Degree and Higher | 11.9% (2,819) | 23.8% (7,658) |
Education Levels Comparison: Griffin vs Pasadena
- A higher percentage of residents in Griffin have no formal schooling at 2.2% compared to 0.6% in Pasadena.
- A higher percentage of residents in Griffin hold a high school diploma at 22.6% compared to 17.5% in Pasadena.
- More residents in Griffin have less than a high school education at 16.3% 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 11.9% in Griffin.
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.