Demographics details for White springs, FL vs Columbia, MO
Population Overview
Compare main population characteristics in White springs, FL vs Columbia, MO.
| Data | White springs | Columbia |
|---|---|---|
| Population | 746 | 128,555 |
| Median Age | 33.5 years | 28.8 years |
| Median Income | $38,631 | $60,455 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 16% | 19% |
| Unemployment Rate | 4.3 | 3.8 |
Population Comparison: White springs vs Columbia
- The population in Columbia is higher at 128,555, compared to 746 in White springs.
- Residents in White springs have a higher median age of 33.5 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $38,631 in White springs.
- A higher percentage of married families is found in White springs at 41.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 16% in White springs.
- The unemployment rate in White springs is higher at 4.3%, compared to 3.8% in Columbia.
Demographics
Demographics White springs vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | White springs | Columbia |
|---|---|---|
| Black | 66 | 11 |
| White | 33 | 73 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White springs vs Columbia
- A higher percentage of Black residents are in White springs at 66% compared to 11% in Columbia.
- The percentage of White residents is higher in Columbia at 73% compared to 33% in White springs.
- In Columbia, the Asian population stands at 6%, greater than 0% in White springs.
- Columbia has a higher percentage of Hispanic residents at 4%, compared to 0% in White springs.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 1% in White springs.
- The percentage of American Indian residents is the same in both White springs and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White springs | Columbia |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.7% |
| Physical Health Not Good | 13.4% | 11.4% |
| Depression | 19.4% | 25.3% |
| Smoking | 26.4% | 16.3% |
| Binge Drinking | 13.7% | 17.7% |
| Obesity | 37.4% | 33.5% |
| Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: White springs vs Columbia
- More residents in White springs report poor mental health at 18.1% compared to 16.7% in Columbia.
- Higher depression rates are seen in Columbia at 25.3% versus 19.4% in White springs.
- Smoking is more prevalent in White springs at 26.4% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 13.7% in White springs.
- Obesity rates are higher in White springs at 37.4% compared to 33.5% in Columbia.
- Disability percentages are higher in White springs at 24.0% 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 | White springs | Columbia |
|---|---|---|
| No Schooling | 1.3% (10) | 0.7% (845) |
| High School Diploma | 30.3% (226) | 7.8% (9,965) |
| Less than High School | 14.1% (105) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 11.9% (89) | 30.5% (39,270) |
Education Levels Comparison: White springs vs Columbia
- A higher percentage of residents in White springs have no formal schooling at 1.3% compared to 0.7% in Columbia.
- A higher percentage of residents in White springs hold a high school diploma at 30.3% compared to 7.8% in Columbia.
- More residents in White springs have less than a high school education at 14.1% 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 11.9% in White springs.
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.