Demographics details for Griffin, GA vs Pittsburg, KS
Population Overview
Compare main population characteristics in Griffin, GA vs Pittsburg, KS.
| Data | Griffin | Pittsburg |
|---|---|---|
| Population | 23,693 | 20,658 |
| Median Age | 33.2 years | 25.7 years |
| Median Income | $42,047 | $42,371 |
| Married Families | 26.0% | 28.0% |
| Poverty Level | 15% | 23% |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Griffin vs Pittsburg
- In Griffin, the population is higher at 23,693, compared to 20,658 in Pittsburg.
- Residents in Griffin have a higher median age of 33.2 years compared to 25.7 years in Pittsburg.
- Pittsburg has a higher median income of $42,371, compared to $42,047 in Griffin.
- In Pittsburg, the percentage of married families is higher at 28.0%, compared to 26.0% in Griffin.
- The poverty level is higher in Pittsburg at 23%, compared to 15% in Griffin.
- The unemployment rate in Griffin is higher at 4.5%, compared to 3.1% in Pittsburg.
Demographics
Demographics Griffin vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Griffin | Pittsburg |
|---|---|---|
| Black | 52 | 3 |
| White | 36 | 78 |
| Asian | 1 | 3 |
| Hispanic | 5 | 11 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Griffin vs Pittsburg
- A higher percentage of Black residents are in Griffin at 52% compared to 3% in Pittsburg.
- The percentage of White residents is higher in Pittsburg at 78% compared to 36% in Griffin.
- In Pittsburg, the Asian population stands at 3%, greater than 1% in Griffin.
- Pittsburg has a higher percentage of Hispanic residents at 11%, compared to 5% in Griffin.
- Both Griffin and Pittsburg have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Griffin at 1% compared to 0% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Griffin | Pittsburg |
|---|---|---|
| Mental Health Not Good | 18.8% | 19.3% |
| Physical Health Not Good | 14.6% | 12.5% |
| Depression | 19.7% | 25.0% |
| Smoking | 22.4% | 23.9% |
| Binge Drinking | 13.4% | 19.7% |
| Obesity | 38.8% | 43.5% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Griffin vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 19.3% compared to 18.8% in Griffin.
- Higher depression rates are seen in Pittsburg at 25.0% versus 19.7% in Griffin.
- Pittsburg has a higher smoking rate at 23.9% compared to 22.4% in Griffin.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 13.4% in Griffin.
- Pittsburg has higher obesity rates at 43.5% compared to 38.8% in Griffin.
- There is a higher percentage of disabled individuals in Pittsburg at 16.0% compared to 13.0% in Griffin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Griffin | Pittsburg |
|---|---|---|
| No Schooling | 2.2% (517) | 0.7% (150) |
| High School Diploma | 22.6% (5,347) | 13.0% (2,686) |
| Less than High School | 16.3% (3,859) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 11.9% (2,819) | 17.2% (3,562) |
Education Levels Comparison: Griffin vs Pittsburg
- A higher percentage of residents in Griffin have no formal schooling at 2.2% compared to 0.7% in Pittsburg.
- A higher percentage of residents in Griffin hold a high school diploma at 22.6% compared to 13.0% in Pittsburg.
- More residents in Griffin have less than a high school education at 16.3% compared to 5.9% in Pittsburg.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 17.2% 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.