Demographics details for High point, NC vs Columbia, MO
Population Overview
Compare main population characteristics in High point, NC vs Columbia, MO.
| Data | High point | Columbia |
|---|---|---|
| Population | 115,067 | 128,555 |
| Median Age | 37.7 years | 28.8 years |
| Median Income | $58,582 | $60,455 |
| Married Families | 35.0% | 32.0% |
| Poverty Level | 15% | 19% |
| Unemployment Rate | 5.4 | 3.8 |
Population Comparison: High point vs Columbia
- The population in Columbia is higher at 128,555, compared to 115,067 in High point.
- Residents in High point have a higher median age of 37.7 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $58,582 in High point.
- A higher percentage of married families is found in High point at 35.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 15% in High point.
- The unemployment rate in High point is higher at 5.4%, compared to 3.8% in Columbia.
Demographics
Demographics High point vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | High point | Columbia |
|---|---|---|
| Black | 32 | 11 |
| White | 42 | 73 |
| Asian | 8 | 6 |
| Hispanic | 11 | 4 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: High point vs Columbia
- A higher percentage of Black residents are in High point at 32% compared to 11% in Columbia.
- The percentage of White residents is higher in Columbia at 73% compared to 42% in High point.
- The Asian population is larger in High point at 8% compared to 6% in Columbia.
- The Hispanic community is larger in High point at 11% compared to 4% in Columbia.
- More residents identify as two or more races in High point at 7% compared to 6% in Columbia.
- The percentage of American Indian residents is the same in both High point and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | High point | Columbia |
|---|---|---|
| Mental Health Not Good | 16.4% | 16.7% |
| Physical Health Not Good | 12.1% | 11.4% |
| Depression | 23.0% | 25.3% |
| Smoking | 17.1% | 16.3% |
| Binge Drinking | 15.5% | 17.7% |
| Obesity | 36.1% | 33.5% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: High point vs Columbia
- In Columbia, a higher percentage report poor mental health at 16.7% compared to 16.4% in High point.
- Higher depression rates are seen in Columbia at 25.3% versus 23.0% in High point.
- Smoking is more prevalent in High point at 17.1% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 15.5% in High point.
- Obesity rates are higher in High point at 36.1% compared to 33.5% in Columbia.
- Disability percentages are higher in High point at 12.0% 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 | High point | Columbia |
|---|---|---|
| No Schooling | 1.4% (1,587) | 0.7% (845) |
| High School Diploma | 13.5% (15,564) | 7.8% (9,965) |
| Less than High School | 12.8% (14,768) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 22.3% (25,678) | 30.5% (39,270) |
Education Levels Comparison: High point vs Columbia
- A higher percentage of residents in High point have no formal schooling at 1.4% compared to 0.7% in Columbia.
- A higher percentage of residents in High point hold a high school diploma at 13.5% compared to 7.8% in Columbia.
- More residents in High point have less than a high school education at 12.8% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 22.3% in High point.
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.