Demographics details for Columbia, SC vs Petersburg, NE
Population Overview
Compare main population characteristics in Columbia, SC vs Petersburg, NE.
| Data | Columbia | Petersburg |
|---|---|---|
| Population | 139,698 | 329 |
| Median Age | 28.3 years | 40.1 years |
| Median Income | $54,095 | $65,500 |
| Married Families | 25.0% | 62.0% |
| Poverty Level | 17% | Data is updating |
| Unemployment Rate | 5.8 | 2.5 |
Population Comparison: Columbia vs Petersburg
- In Columbia, the population is higher at 139,698, compared to 329 in Petersburg.
- The median age in Petersburg is higher at 40.1 years, compared to 28.3 years in Columbia.
- Petersburg has a higher median income of $65,500, compared to $54,095 in Columbia.
- In Petersburg, the percentage of married families is higher at 62.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 0% in Petersburg.
- The unemployment rate in Columbia is higher at 5.8%, compared to 2.5% in Petersburg.
Demographics
Demographics Columbia vs Petersburg provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Petersburg |
|---|---|---|
| Black | 40 | Data is updating |
| White | 48 | 85 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 9 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Petersburg
- A higher percentage of Black residents are in Columbia at 40% compared to 0% in Petersburg.
- The percentage of White residents is higher in Petersburg at 85% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 0% in Petersburg.
- Petersburg has a higher percentage of Hispanic residents at 9%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Petersburg at 6%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Petersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Petersburg |
|---|---|---|
| Mental Health Not Good | 18.6% | 14.2% |
| Physical Health Not Good | 13.1% | 9.8% |
| Depression | 20.8% | 17.9% |
| Smoking | 19.1% | 17.8% |
| Binge Drinking | 18.1% | 21.8% |
| Obesity | 39.0% | 43.1% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Columbia vs Petersburg
- More residents in Columbia report poor mental health at 18.6% compared to 14.2% in Petersburg.
- Depression is more prevalent in Columbia at 20.8% compared to 17.9% in Petersburg.
- Smoking is more prevalent in Columbia at 19.1% compared to 17.8% in Petersburg.
- More residents engage in binge drinking in Petersburg at 21.8% compared to 18.1% in Columbia.
- Petersburg has higher obesity rates at 43.1% compared to 39.0% in Columbia.
- Disability percentages are the same in both Columbia and Petersburg at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Petersburg |
|---|---|---|
| No Schooling | 0.4% (555) | 0.0% (Data is updating) |
| High School Diploma | 8.4% (11,712) | 24.0% (79) |
| Less than High School | 5.9% (8,257) | 4.9% (16) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 18.2% (60) |
Education Levels Comparison: Columbia vs Petersburg
- A higher percentage of residents in Columbia have no formal schooling at 0.4% compared to 0.0% in Petersburg.
- In Petersburg, the rate of residents with high school diplomas is higher at 24.0% compared to 8.4% in Columbia.
- More residents in Columbia have less than a high school education at 5.9% compared to 4.9% in Petersburg.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% compared to 18.2% in Petersburg.
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.