Demographics details for Indian trail, NC vs Columbus, OH
Population Overview
Compare main population characteristics in Indian trail, NC vs Columbus, OH.
Data | Indian trail | Columbus |
---|---|---|
Population | 41,724 | 907,971 |
Median Age | 36.1 years | 32.7 years |
Median Income | $95,101 | $62,994 |
Married Families | 45.0% | 29.0% |
Poverty Level | 6% | 14% |
Unemployment Rate | 3.8 | 5.0 |
Population Comparison: Indian trail vs Columbus
- The population in Columbus is higher at 907,971, compared to 41,724 in Indian trail.
- Residents in Indian trail have a higher median age of 36.1 years compared to 32.7 years in Columbus.
- Indian trail has a higher median income of $95,101 compared to $62,994 in Columbus.
- A higher percentage of married families is found in Indian trail at 45.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 6% in Indian trail.
- Columbus has a higher unemployment rate at 5.0% compared to 3.8% in Indian trail.
Demographics
Demographics Indian trail vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Indian trail | Columbus |
---|---|---|
Black | 9 | 29 |
White | 71 | 51 |
Asian | 3 | 6 |
Hispanic | 11 | 7 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Indian trail vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 9% in Indian trail.
- Indian trail has a higher percentage of White residents at 71% compared to 51% in Columbus.
- In Columbus, the Asian population stands at 6%, greater than 3% in Indian trail.
- The Hispanic community is larger in Indian trail at 11% compared to 7% in Columbus.
- The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 6% in Indian trail.
- The percentage of American Indian residents is the same in both Indian trail and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Indian trail | Columbus |
---|---|---|
Mental Health Not Good | 14.6% | 18.4% |
Physical Health Not Good | 9.3% | 12.2% |
Depression | 22.0% | 23.9% |
Smoking | 13.5% | 19.6% |
Binge Drinking | 18.5% | 17.7% |
Obesity | 31.2% | 38.0% |
Disability Percentage | 7.0% | 11.0% |
Health Statistics Comparison: Indian trail vs Columbus
- In Columbus, a higher percentage report poor mental health at 18.4% compared to 14.6% in Indian trail.
- Higher depression rates are seen in Columbus at 23.9% versus 22.0% in Indian trail.
- Columbus has a higher smoking rate at 19.6% compared to 13.5% in Indian trail.
- Binge drinking is more common in Indian trail at 18.5% compared to 17.7% in Columbus.
- Columbus has higher obesity rates at 38.0% compared to 31.2% in Indian trail.
- There is a higher percentage of disabled individuals in Columbus at 11.0% compared to 7.0% in Indian trail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Indian trail | Columbus |
---|---|---|
No Schooling | 0.7% (287) | 1.4% (12,592) |
High School Diploma | 12.8% (5,353) | 14.4% (130,716) |
Less than High School | 6.6% (2,761) | 9.7% (87,770) |
Bachelor's Degree and Higher | 24.4% (10,201) | 25.2% (229,071) |
Education Levels Comparison: Indian trail vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Indian trail.
- In Columbus, the rate of residents with high school diplomas is higher at 14.4% compared to 12.8% in Indian trail.
- The percentage of residents with less than a high school education is higher in Columbus at 9.7%, compared to 6.6% in Indian trail.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 24.4% in Indian trail.
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.