Demographics details for Gainesville, FL vs Bertha, MN
Population Overview
Compare main population characteristics in Gainesville, FL vs Bertha, MN.
| Data | Gainesville | Bertha |
|---|---|---|
| Population | 145,214 | 554 |
| Median Age | 26.0 years | 40.1 years |
| Median Income | $43,783 | $51,094 |
| Married Families | 21.0% | 29.0% |
| Poverty Level | 20% | Data is updating |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Gainesville vs Bertha
- In Gainesville, the population is higher at 145,214, compared to 554 in Bertha.
- The median age in Bertha is higher at 40.1 years, compared to 26.0 years in Gainesville.
- Bertha has a higher median income of $51,094, compared to $43,783 in Gainesville.
- In Bertha, the percentage of married families is higher at 29.0%, compared to 21.0% in Gainesville.
- Gainesville has a higher poverty level at 20% compared to 0% in Bertha.
- The unemployment rate in Gainesville is higher at 4.5%, compared to 3.2% in Bertha.
Demographics
Demographics Gainesville vs Bertha provide insight into the diversity of the communities to compare.
| Demographic | Gainesville | Bertha |
|---|---|---|
| Black | 21 | Data is updating |
| White | 53 | 95 |
| Asian | 6 | Data is updating |
| Hispanic | 12 | 1 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gainesville vs Bertha
- A higher percentage of Black residents are in Gainesville at 21% compared to 0% in Bertha.
- The percentage of White residents is higher in Bertha at 95% compared to 53% in Gainesville.
- The Asian population is larger in Gainesville at 6% compared to 0% in Bertha.
- The Hispanic community is larger in Gainesville at 12% compared to 1% in Bertha.
- More residents identify as two or more races in Gainesville at 8% compared to 4% in Bertha.
- The percentage of American Indian residents is the same in both Gainesville and Bertha at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gainesville | Bertha |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.1% |
| Physical Health Not Good | 11.8% | 10.8% |
| Depression | 18.9% | 25.8% |
| Smoking | 18.3% | 21.2% |
| Binge Drinking | 15.0% | 19.8% |
| Obesity | 33.1% | 39.4% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Gainesville vs Bertha
- In Bertha, a higher percentage report poor mental health at 17.1% compared to 16.6% in Gainesville.
- Higher depression rates are seen in Bertha at 25.8% versus 18.9% in Gainesville.
- Bertha has a higher smoking rate at 21.2% compared to 18.3% in Gainesville.
- More residents engage in binge drinking in Bertha at 19.8% compared to 15.0% in Gainesville.
- Bertha has higher obesity rates at 39.4% compared to 33.1% in Gainesville.
- There is a higher percentage of disabled individuals in Bertha at 20.0% compared to 9.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gainesville | Bertha |
|---|---|---|
| No Schooling | 0.8% (1,117) | 0.0% (Data is updating) |
| High School Diploma | 7.5% (10,893) | 14.8% (82) |
| Less than High School | 4.7% (6,845) | 14.3% (79) |
| Bachelor's Degree and Higher | 25.5% (37,008) | 10.6% (59) |
Education Levels Comparison: Gainesville vs Bertha
- A higher percentage of residents in Gainesville have no formal schooling at 0.8% compared to 0.0% in Bertha.
- In Bertha, the rate of residents with high school diplomas is higher at 14.8% compared to 7.5% in Gainesville.
- The percentage of residents with less than a high school education is higher in Bertha at 14.3%, compared to 4.7% in Gainesville.
- A higher percentage of residents in Gainesville hold a bachelor's degree or higher at 25.5% compared to 10.6% in Bertha.
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.