Demographics details for Columbus, IN vs Phillipsburg, OH
Population Overview
Compare main population characteristics in Columbus, IN vs Phillipsburg, OH.
Data | Columbus | Phillipsburg |
---|---|---|
Population | 51,268 | 496 |
Median Age | 35.8 years | 33.6 years |
Median Income | $75,114 | $56,250 |
Married Families | 41.0% | 31.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Columbus vs Phillipsburg
- In Columbus, the population is higher at 51,268, compared to 496 in Phillipsburg.
- Residents in Columbus have a higher median age of 35.8 years compared to 33.6 years in Phillipsburg.
- Columbus has a higher median income of $75,114 compared to $56,250 in Phillipsburg.
- A higher percentage of married families is found in Columbus at 41.0% compared to 31.0% in Phillipsburg.
- Columbus has a higher poverty level at 9% compared to 8% in Phillipsburg.
- The unemployment rate in Columbus is higher at 4.0%, compared to 3.5% in Phillipsburg.
Demographics
Demographics Columbus vs Phillipsburg provide insight into the diversity of the communities to compare.
Demographic | Columbus | Phillipsburg |
---|---|---|
Black | 2 | Data is updating |
White | 71 | 96 |
Asian | 13 | Data is updating |
Hispanic | 9 | 4 |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Phillipsburg
- A higher percentage of Black residents are in Columbus at 2% compared to 0% in Phillipsburg.
- The percentage of White residents is higher in Phillipsburg at 96% compared to 71% in Columbus.
- The Asian population is larger in Columbus at 13% compared to 0% in Phillipsburg.
- The Hispanic community is larger in Columbus at 9% compared to 4% in Phillipsburg.
- More residents identify as two or more races in Columbus at 5% compared to 0% in Phillipsburg.
- The percentage of American Indian residents is the same in both Columbus and Phillipsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbus | Phillipsburg |
---|---|---|
Mental Health Not Good | 15.6% | 18.4% |
Physical Health Not Good | 10.3% | 11.9% |
Depression | 24.1% | 26.6% |
Smoking | 16.3% | 19.1% |
Binge Drinking | 16.3% | 19.6% |
Obesity | 36.7% | 38.2% |
Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Columbus vs Phillipsburg
- In Phillipsburg, a higher percentage report poor mental health at 18.4% compared to 15.6% in Columbus.
- Higher depression rates are seen in Phillipsburg at 26.6% versus 24.1% in Columbus.
- Phillipsburg has a higher smoking rate at 19.1% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Phillipsburg at 19.6% compared to 16.3% in Columbus.
- Phillipsburg has higher obesity rates at 38.2% compared to 36.7% in Columbus.
- Disability percentages are higher in Columbus at 13.0% compared to 9.0% in Phillipsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbus | Phillipsburg |
---|---|---|
No Schooling | 0.8% (398) | 0.0% (Data is updating) |
High School Diploma | 14.3% (7,340) | 16.9% (84) |
Less than High School | 9.1% (4,677) | 10.1% (50) |
Bachelor's Degree and Higher | 28.1% (14,382) | 9.1% (45) |
Education Levels Comparison: Columbus vs Phillipsburg
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.0% in Phillipsburg.
- In Phillipsburg, the rate of residents with high school diplomas is higher at 16.9% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Phillipsburg at 10.1%, compared to 9.1% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% compared to 9.1% in Phillipsburg.
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.