Demographics details for Cedar hill, TX vs Columbia, SC
Population Overview
Compare main population characteristics in Cedar hill, TX vs Columbia, SC.
Data | Cedar hill | Columbia |
---|---|---|
Population | 48,341 | 139,698 |
Median Age | 35.3 years | 28.3 years |
Median Income | $84,132 | $54,095 |
Married Families | 38.0% | 25.0% |
Poverty Level | 9% | 17% |
Unemployment Rate | 4.9 | 5.8 |
Population Comparison: Cedar hill vs Columbia
- The population in Columbia is higher at 139,698, compared to 48,341 in Cedar hill.
- Residents in Cedar hill have a higher median age of 35.3 years compared to 28.3 years in Columbia.
- Cedar hill has a higher median income of $84,132 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Cedar hill at 38.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 9% in Cedar hill.
- Columbia has a higher unemployment rate at 5.8% compared to 4.9% in Cedar hill.
Demographics
Demographics Cedar hill vs Columbia provide insight into the diversity of the communities to compare.
Demographic | Cedar hill | Columbia |
---|---|---|
Black | 51 | 40 |
White | 11 | 48 |
Asian | 2 | 2 |
Hispanic | 27 | 5 |
Two or More Races | 9 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cedar hill vs Columbia
- A higher percentage of Black residents are in Cedar hill at 51% compared to 40% in Columbia.
- The percentage of White residents is higher in Columbia at 48% compared to 11% in Cedar hill.
- Both Cedar hill and Columbia have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Cedar hill at 27% compared to 5% in Columbia.
- More residents identify as two or more races in Cedar hill at 9% compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Cedar hill and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cedar hill | Columbia |
---|---|---|
Mental Health Not Good | 16.1% | 18.6% |
Physical Health Not Good | 10.4% | 13.1% |
Depression | 20.5% | 20.8% |
Smoking | 14.8% | 19.1% |
Binge Drinking | 17.7% | 18.1% |
Obesity | 35.9% | 39.0% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Cedar hill vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 16.1% in Cedar hill.
- Higher depression rates are seen in Columbia at 20.8% versus 20.5% in Cedar hill.
- Columbia has a higher smoking rate at 19.1% compared to 14.8% in Cedar hill.
- More residents engage in binge drinking in Columbia at 18.1% compared to 17.7% in Cedar hill.
- Columbia has higher obesity rates at 39.0% compared to 35.9% in Cedar hill.
- Disability percentages are the same in both Cedar hill and Columbia at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cedar hill | Columbia |
---|---|---|
No Schooling | 1.2% (578) | 0.4% (555) |
High School Diploma | 13.4% (6,465) | 8.4% (11,712) |
Less than High School | 10.2% (4,909) | 5.9% (8,257) |
Bachelor's Degree and Higher | 18.4% (8,890) | 24.7% (34,575) |
Education Levels Comparison: Cedar hill vs Columbia
- A higher percentage of residents in Cedar hill have no formal schooling at 1.2% compared to 0.4% in Columbia.
- A higher percentage of residents in Cedar hill hold a high school diploma at 13.4% compared to 8.4% in Columbia.
- More residents in Cedar hill have less than a high school education at 10.2% compared to 5.9% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 18.4% in Cedar hill.
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.