Demographics details for Pottstown, PA vs Columbia, MO
Population Overview
Compare main population characteristics in Pottstown, PA vs Columbia, MO.
Data | Pottstown | Columbia |
---|---|---|
Population | 23,377 | 128,555 |
Median Age | 35.2 years | 28.8 years |
Median Income | $57,647 | $60,455 |
Married Families | 29.0% | 32.0% |
Poverty Level | 12% | 19% |
Unemployment Rate | 4.5 | 3.8 |
Population Comparison: Pottstown vs Columbia
- The population in Columbia is higher at 128,555, compared to 23,377 in Pottstown.
- Residents in Pottstown have a higher median age of 35.2 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $57,647 in Pottstown.
- In Columbia, the percentage of married families is higher at 32.0%, compared to 29.0% in Pottstown.
- The poverty level is higher in Columbia at 19%, compared to 12% in Pottstown.
- The unemployment rate in Pottstown is higher at 4.5%, compared to 3.8% in Columbia.
Demographics
Demographics Pottstown vs Columbia provide insight into the diversity of the communities to compare.
Demographic | Pottstown | Columbia |
---|---|---|
Black | 21 | 11 |
White | 56 | 73 |
Asian | 1 | 6 |
Hispanic | 11 | 4 |
Two or More Races | 11 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pottstown vs Columbia
- A higher percentage of Black residents are in Pottstown at 21% compared to 11% in Columbia.
- The percentage of White residents is higher in Columbia at 73% compared to 56% in Pottstown.
- In Columbia, the Asian population stands at 6%, greater than 1% in Pottstown.
- The Hispanic community is larger in Pottstown at 11% compared to 4% in Columbia.
- More residents identify as two or more races in Pottstown at 11% compared to 6% in Columbia.
- The percentage of American Indian residents is the same in both Pottstown and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pottstown | Columbia |
---|---|---|
Mental Health Not Good | 18.3% | 16.7% |
Physical Health Not Good | 12.9% | 11.4% |
Depression | 22.6% | 25.3% |
Smoking | 20.5% | 16.3% |
Binge Drinking | 16.8% | 17.7% |
Obesity | 37.4% | 33.5% |
Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Pottstown vs Columbia
- More residents in Pottstown report poor mental health at 18.3% compared to 16.7% in Columbia.
- Higher depression rates are seen in Columbia at 25.3% versus 22.6% in Pottstown.
- Smoking is more prevalent in Pottstown at 20.5% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 16.8% in Pottstown.
- Obesity rates are higher in Pottstown at 37.4% compared to 33.5% in Columbia.
- Disability percentages are higher in Pottstown at 16.0% 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 | Pottstown | Columbia |
---|---|---|
No Schooling | 0.6% (149) | 0.7% (845) |
High School Diploma | 23.3% (5,458) | 7.8% (9,965) |
Less than High School | 11.7% (2,744) | 4.2% (5,383) |
Bachelor's Degree and Higher | 14.3% (3,346) | 30.5% (39,270) |
Education Levels Comparison: Pottstown vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Pottstown.
- A higher percentage of residents in Pottstown hold a high school diploma at 23.3% compared to 7.8% in Columbia.
- More residents in Pottstown have less than a high school education at 11.7% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 14.3% in Pottstown.
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.