Demographics details for Sanford, NC vs Columbus, OH
Population Overview
Compare main population characteristics in Sanford, NC vs Columbus, OH.
| Data | Sanford | Columbus |
|---|---|---|
| Population | 31,224 | 907,971 |
| Median Age | 34.6 years | 32.7 years |
| Median Income | $52,951 | $62,994 |
| Married Families | 32.0% | 29.0% |
| Poverty Level | 13% | 14% |
| Unemployment Rate | 4.8 | 5.0 |
Population Comparison: Sanford vs Columbus
- The population in Columbus is higher at 907,971, compared to 31,224 in Sanford.
- Residents in Sanford have a higher median age of 34.6 years compared to 32.7 years in Columbus.
- Columbus has a higher median income of $62,994, compared to $52,951 in Sanford.
- A higher percentage of married families is found in Sanford at 32.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 13% in Sanford.
- Columbus has a higher unemployment rate at 5.0% compared to 4.8% in Sanford.
Demographics
Demographics Sanford vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Sanford | Columbus |
|---|---|---|
| Black | 25 | 29 |
| White | 34 | 51 |
| Asian | 2 | 6 |
| Hispanic | 29 | 7 |
| Two or More Races | 10 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanford vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 25% in Sanford.
- The percentage of White residents is higher in Columbus at 51% compared to 34% in Sanford.
- In Columbus, the Asian population stands at 6%, greater than 2% in Sanford.
- The Hispanic community is larger in Sanford at 29% compared to 7% in Columbus.
- More residents identify as two or more races in Sanford at 10% compared to 7% in Columbus.
- The percentage of American Indian residents is the same in both Sanford and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanford | Columbus |
|---|---|---|
| Mental Health Not Good | 17.4% | 18.4% |
| Physical Health Not Good | 13.2% | 12.2% |
| Depression | 23.2% | 23.9% |
| Smoking | 18.8% | 19.6% |
| Binge Drinking | 15.3% | 17.7% |
| Obesity | 41.1% | 38.0% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Sanford vs Columbus
- In Columbus, a higher percentage report poor mental health at 18.4% compared to 17.4% in Sanford.
- Higher depression rates are seen in Columbus at 23.9% versus 23.2% in Sanford.
- Columbus has a higher smoking rate at 19.6% compared to 18.8% in Sanford.
- More residents engage in binge drinking in Columbus at 17.7% compared to 15.3% in Sanford.
- Obesity rates are higher in Sanford at 41.1% compared to 38.0% in Columbus.
- Disability percentages are higher in Sanford at 14.0% compared to 11.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanford | Columbus |
|---|---|---|
| No Schooling | 1.4% (443) | 1.4% (12,592) |
| High School Diploma | 12.5% (3,909) | 14.4% (130,716) |
| Less than High School | 22.6% (7,052) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 12.9% (4,025) | 25.2% (229,071) |
Education Levels Comparison: Sanford vs Columbus
- The percentage of residents with no formal schooling is the same in both Sanford and Columbus at 1.4%.
- In Columbus, the rate of residents with high school diplomas is higher at 14.4% compared to 12.5% in Sanford.
- More residents in Sanford have less than a high school education at 22.6% compared to 9.7% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 12.9% in Sanford.
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.