Demographics details for Columbia, SC vs Lansing, MI
Population Overview
Compare main population characteristics in Columbia, SC vs Lansing, MI.
| Data | Columbia | Lansing |
|---|---|---|
| Population | 139,698 | 112,537 |
| Median Age | 28.3 years | 32.9 years |
| Median Income | $54,095 | $50,747 |
| Married Families | 25.0% | 28.0% |
| Poverty Level | 17% | 19% |
| Unemployment Rate | 5.8 | 7.4 |
Population Comparison: Columbia vs Lansing
- In Columbia, the population is higher at 139,698, compared to 112,537 in Lansing.
- The median age in Lansing is higher at 32.9 years, compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095 compared to $50,747 in Lansing.
- In Lansing, the percentage of married families is higher at 28.0%, compared to 25.0% in Columbia.
- The poverty level is higher in Lansing at 19%, compared to 17% in Columbia.
- Lansing has a higher unemployment rate at 7.4% compared to 5.8% in Columbia.
Demographics
Demographics Columbia vs Lansing provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Lansing |
|---|---|---|
| Black | 40 | 24 |
| White | 48 | 48 |
| Asian | 2 | 5 |
| Hispanic | 5 | 13 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Lansing
- A higher percentage of Black residents are in Columbia at 40% compared to 24% in Lansing.
- The percentage of White residents is the same in both Columbia and Lansing at 48%.
- In Lansing, the Asian population stands at 5%, greater than 2% in Columbia.
- Lansing has a higher percentage of Hispanic residents at 13%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Lansing at 10%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Lansing at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Lansing |
|---|---|---|
| Mental Health Not Good | 18.6% | 19.3% |
| Physical Health Not Good | 13.1% | 12.9% |
| Depression | 20.8% | 26.3% |
| Smoking | 19.1% | 19.6% |
| Binge Drinking | 18.1% | 16.0% |
| Obesity | 39.0% | 40.7% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Columbia vs Lansing
- In Lansing, a higher percentage report poor mental health at 19.3% compared to 18.6% in Columbia.
- Higher depression rates are seen in Lansing at 26.3% versus 20.8% in Columbia.
- Lansing has a higher smoking rate at 19.6% compared to 19.1% in Columbia.
- Binge drinking is more common in Columbia at 18.1% compared to 16.0% in Lansing.
- Lansing has higher obesity rates at 40.7% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Lansing at 17.0% 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 | Lansing |
|---|---|---|
| No Schooling | 0.4% (555) | 1.3% (1,419) |
| High School Diploma | 8.4% (11,712) | 13.5% (15,216) |
| Less than High School | 5.9% (8,257) | 10.0% (11,269) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 19.3% (21,667) |
Education Levels Comparison: Columbia vs Lansing
- In Lansing, a larger percentage of residents lack formal schooling at 1.3% compared to 0.4% in Columbia.
- In Lansing, the rate of residents with high school diplomas is higher at 13.5% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Lansing at 10.0%, 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 19.3% in Lansing.
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.