Demographics details for Columbia, SC vs Grimesland, NC
Population Overview
Compare main population characteristics in Columbia, SC vs Grimesland, NC.
Data | Columbia | Grimesland |
---|---|---|
Population | 139,698 | 395 |
Median Age | 28.3 years | 34.3 years |
Median Income | $54,095 | $35,000 |
Married Families | 25.0% | 29.0% |
Poverty Level | 17% | 10% |
Unemployment Rate | 5.8 | 3.5 |
Population Comparison: Columbia vs Grimesland
- In Columbia, the population is higher at 139,698, compared to 395 in Grimesland.
- The median age in Grimesland is higher at 34.3 years, compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095 compared to $35,000 in Grimesland.
- In Grimesland, the percentage of married families is higher at 29.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 10% in Grimesland.
- The unemployment rate in Columbia is higher at 5.8%, compared to 3.5% in Grimesland.
Demographics
Demographics Columbia vs Grimesland provide insight into the diversity of the communities to compare.
Demographic | Columbia | Grimesland |
---|---|---|
Black | 40 | 21 |
White | 48 | 56 |
Asian | 2 | Data is updating |
Hispanic | 5 | 10 |
Two or More Races | 5 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Columbia vs Grimesland
- A higher percentage of Black residents are in Columbia at 40% compared to 21% in Grimesland.
- The percentage of White residents is higher in Grimesland at 56% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 0% in Grimesland.
- Grimesland has a higher percentage of Hispanic residents at 10%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Grimesland at 12%, compared to 5% in Columbia.
- In Grimesland, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbia | Grimesland |
---|---|---|
Mental Health Not Good | 18.6% | 15.8% |
Physical Health Not Good | 13.1% | 11.1% |
Depression | 20.8% | 20.9% |
Smoking | 19.1% | 16.4% |
Binge Drinking | 18.1% | 15.8% |
Obesity | 39.0% | 40.0% |
Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Columbia vs Grimesland
- More residents in Columbia report poor mental health at 18.6% compared to 15.8% in Grimesland.
- Higher depression rates are seen in Grimesland at 20.9% versus 20.8% in Columbia.
- Smoking is more prevalent in Columbia at 19.1% compared to 16.4% in Grimesland.
- Binge drinking is more common in Columbia at 18.1% compared to 15.8% in Grimesland.
- Grimesland has higher obesity rates at 40.0% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Grimesland at 24.0% 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 | Grimesland |
---|---|---|
No Schooling | 0.4% (555) | 0.3% (1) |
High School Diploma | 8.4% (11,712) | 19.7% (78) |
Less than High School | 5.9% (8,257) | 9.6% (38) |
Bachelor's Degree and Higher | 24.7% (34,575) | 8.1% (32) |
Education Levels Comparison: Columbia vs Grimesland
- A higher percentage of residents in Columbia have no formal schooling at 0.4% compared to 0.3% in Grimesland.
- In Grimesland, the rate of residents with high school diplomas is higher at 19.7% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Grimesland at 9.6%, 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 8.1% in Grimesland.
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.