Demographics details for Cullman, AL vs Norristown, PA
Population Overview
Compare main population characteristics in Cullman, AL vs Norristown, PA.
| Data | Cullman | Norristown |
|---|---|---|
| Population | 19,251 | 35,795 |
| Median Age | 42.0 years | 32.4 years |
| Median Income | $59,982 | $59,068 |
| Married Families | 39.0% | 26.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.3 | 3.3 |
Population Comparison: Cullman vs Norristown
- The population in Norristown is higher at 35,795, compared to 19,251 in Cullman.
- Residents in Cullman have a higher median age of 42.0 years compared to 32.4 years in Norristown.
- Cullman has a higher median income of $59,982 compared to $59,068 in Norristown.
- A higher percentage of married families is found in Cullman at 39.0% compared to 26.0% in Norristown.
- Cullman has a higher poverty level at 12% compared to 10% in Norristown.
- The unemployment rate in Cullman is higher at 4.3%, compared to 3.3% in Norristown.
Demographics
Demographics Cullman vs Norristown provide insight into the diversity of the communities to compare.
| Demographic | Cullman | Norristown |
|---|---|---|
| Black | 1 | 33 |
| White | 92 | 19 |
| Asian | 1 | 3 |
| Hispanic | 2 | 27 |
| Two or More Races | 4 | 16 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Cullman vs Norristown
- In Norristown, the percentage of Black residents is higher at 33% compared to 1% in Cullman.
- Cullman has a higher percentage of White residents at 92% compared to 19% in Norristown.
- In Norristown, the Asian population stands at 3%, greater than 1% in Cullman.
- Norristown has a higher percentage of Hispanic residents at 27%, compared to 2% in Cullman.
- The percentage of residents identifying as two or more races is higher in Norristown at 16%, compared to 4% in Cullman.
- In Norristown, the percentage of American Indian residents is higher at 2%, compared to 0% in Cullman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullman | Norristown |
|---|---|---|
| Mental Health Not Good | 18.5% | 18.1% |
| Physical Health Not Good | 12.6% | 14.3% |
| Depression | 24.9% | 20.3% |
| Smoking | 18.2% | 21.4% |
| Binge Drinking | 16.4% | 14.9% |
| Obesity | 37.5% | 40.8% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Cullman vs Norristown
- More residents in Cullman report poor mental health at 18.5% compared to 18.1% in Norristown.
- Depression is more prevalent in Cullman at 24.9% compared to 20.3% in Norristown.
- Norristown has a higher smoking rate at 21.4% compared to 18.2% in Cullman.
- Binge drinking is more common in Cullman at 16.4% compared to 14.9% in Norristown.
- Norristown has higher obesity rates at 40.8% compared to 37.5% in Cullman.
- Disability percentages are the same in both Cullman and Norristown at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullman | Norristown |
|---|---|---|
| No Schooling | 0.7% (130) | 1.3% (479) |
| High School Diploma | 13.6% (2,614) | 20.1% (7,193) |
| Less than High School | 13.0% (2,512) | 15.9% (5,695) |
| Bachelor's Degree and Higher | 22.1% (4,253) | 14.4% (5,148) |
Education Levels Comparison: Cullman vs Norristown
- In Norristown, a larger percentage of residents lack formal schooling at 1.3% compared to 0.7% in Cullman.
- In Norristown, the rate of residents with high school diplomas is higher at 20.1% compared to 13.6% in Cullman.
- The percentage of residents with less than a high school education is higher in Norristown at 15.9%, compared to 13.0% in Cullman.
- A higher percentage of residents in Cullman hold a bachelor's degree or higher at 22.1% compared to 14.4% in Norristown.
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.