Demographics details for Columbia, SC vs Norristown, PA
Population Overview
Compare main population characteristics in Columbia, SC vs Norristown, PA.
Data | Columbia | Norristown |
---|---|---|
Population | 139,698 | 35,795 |
Median Age | 28.3 years | 32.4 years |
Median Income | $54,095 | $59,068 |
Married Families | 25.0% | 26.0% |
Poverty Level | 17% | 10% |
Unemployment Rate | 5.8 | 3.3 |
Population Comparison: Columbia vs Norristown
- In Columbia, the population is higher at 139,698, compared to 35,795 in Norristown.
- The median age in Norristown is higher at 32.4 years, compared to 28.3 years in Columbia.
- Norristown has a higher median income of $59,068, compared to $54,095 in Columbia.
- In Norristown, the percentage of married families is higher at 26.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 10% in Norristown.
- The unemployment rate in Columbia is higher at 5.8%, compared to 3.3% in Norristown.
Demographics
Demographics Columbia vs Norristown provide insight into the diversity of the communities to compare.
Demographic | Columbia | Norristown |
---|---|---|
Black | 40 | 33 |
White | 48 | 19 |
Asian | 2 | 3 |
Hispanic | 5 | 27 |
Two or More Races | 5 | 16 |
American Indian | Data is updating | 2 |
Demographics Comparison: Columbia vs Norristown
- A higher percentage of Black residents are in Columbia at 40% compared to 33% in Norristown.
- Columbia has a higher percentage of White residents at 48% compared to 19% in Norristown.
- In Norristown, the Asian population stands at 3%, greater than 2% in Columbia.
- Norristown has a higher percentage of Hispanic residents at 27%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Norristown at 16%, compared to 5% in Columbia.
- In Norristown, the percentage of American Indian residents is higher at 2%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbia | Norristown |
---|---|---|
Mental Health Not Good | 18.6% | 18.1% |
Physical Health Not Good | 13.1% | 14.3% |
Depression | 20.8% | 20.3% |
Smoking | 19.1% | 21.4% |
Binge Drinking | 18.1% | 14.9% |
Obesity | 39.0% | 40.8% |
Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Columbia vs Norristown
- More residents in Columbia report poor mental health at 18.6% compared to 18.1% in Norristown.
- Depression is more prevalent in Columbia at 20.8% compared to 20.3% in Norristown.
- Norristown has a higher smoking rate at 21.4% compared to 19.1% in Columbia.
- Binge drinking is more common in Columbia at 18.1% compared to 14.9% in Norristown.
- Norristown has higher obesity rates at 40.8% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Norristown at 14.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbia | Norristown |
---|---|---|
No Schooling | 0.4% (555) | 1.3% (479) |
High School Diploma | 8.4% (11,712) | 20.1% (7,193) |
Less than High School | 5.9% (8,257) | 15.9% (5,695) |
Bachelor's Degree and Higher | 24.7% (34,575) | 14.4% (5,148) |
Education Levels Comparison: Columbia vs Norristown
- In Norristown, a larger percentage of residents lack formal schooling at 1.3% compared to 0.4% in Columbia.
- In Norristown, the rate of residents with high school diplomas is higher at 20.1% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Norristown at 15.9%, compared to 5.9% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% 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.