Demographics details for Waterville, OH vs Charleston, SC
Population Overview
Compare main population characteristics in Waterville, OH vs Charleston, SC.
Data | Waterville | Charleston |
---|---|---|
Population | 6,013 | 153,672 |
Median Age | 40.9 years | 36.3 years |
Median Income | $101,473 | $83,891 |
Married Families | 44.0% | 37.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Waterville vs Charleston
- The population in Charleston is higher at 153,672, compared to 6,013 in Waterville.
- Residents in Waterville have a higher median age of 40.9 years compared to 36.3 years in Charleston.
- Waterville has a higher median income of $101,473 compared to $83,891 in Charleston.
- A higher percentage of married families is found in Waterville at 44.0% compared to 37.0% in Charleston.
- The poverty level is higher in Charleston at 12%, compared to 0% in Waterville.
- Charleston has a higher unemployment rate at 3.8% compared to 3.2% in Waterville.
Demographics
Demographics Waterville vs Charleston provide insight into the diversity of the communities to compare.
Demographic | Waterville | Charleston |
---|---|---|
Black | 1 | 18 |
White | 79 | 71 |
Asian | 2 | 2 |
Hispanic | 8 | 5 |
Two or More Races | 10 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterville vs Charleston
- In Charleston, the percentage of Black residents is higher at 18% compared to 1% in Waterville.
- Waterville has a higher percentage of White residents at 79% compared to 71% in Charleston.
- Both Waterville and Charleston have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Waterville at 8% compared to 5% in Charleston.
- More residents identify as two or more races in Waterville at 10% compared to 4% in Charleston.
- The percentage of American Indian residents is the same in both Waterville and Charleston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waterville | Charleston |
---|---|---|
Mental Health Not Good | 14.8% | 15.6% |
Physical Health Not Good | 8.1% | 9.4% |
Depression | 22.5% | 19.6% |
Smoking | 12.6% | 13.0% |
Binge Drinking | 19.0% | 23.0% |
Obesity | 33.8% | 31.8% |
Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Waterville vs Charleston
- In Charleston, a higher percentage report poor mental health at 15.6% compared to 14.8% in Waterville.
- Depression is more prevalent in Waterville at 22.5% compared to 19.6% in Charleston.
- Charleston has a higher smoking rate at 13.0% compared to 12.6% in Waterville.
- More residents engage in binge drinking in Charleston at 23.0% compared to 19.0% in Waterville.
- Obesity rates are higher in Waterville at 33.8% compared to 31.8% in Charleston.
- Disability percentages are higher in Waterville at 12.0% compared to 9.0% in Charleston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waterville | Charleston |
---|---|---|
No Schooling | 0.0% (3) | 0.4% (646) |
High School Diploma | 15.4% (924) | 9.1% (13,959) |
Less than High School | 4.4% (265) | 4.3% (6,655) |
Bachelor's Degree and Higher | 33.1% (1,988) | 39.9% (61,263) |
Education Levels Comparison: Waterville vs Charleston
- In Charleston, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Waterville.
- A higher percentage of residents in Waterville hold a high school diploma at 15.4% compared to 9.1% in Charleston.
- More residents in Waterville have less than a high school education at 4.4% compared to 4.3% in Charleston.
- In Charleston, a larger share of residents have a bachelor's degree or higher at 39.9% compared to 33.1% in Waterville.
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.