Demographics details for Fontana, CA vs Ellsworth, WI
Population Overview
Compare main population characteristics in Fontana, CA vs Ellsworth, WI.
Data | Fontana | Ellsworth |
---|---|---|
Population | 212,475 | 3,306 |
Median Age | 32.6 years | 41.8 years |
Median Income | $93,230 | $72,326 |
Married Families | 36.0% | 38.0% |
Poverty Level | 13% | 9% |
Unemployment Rate | 5.0 | 3.0 |
Population Comparison: Fontana vs Ellsworth
- In Fontana, the population is higher at 212,475, compared to 3,306 in Ellsworth.
- The median age in Ellsworth is higher at 41.8 years, compared to 32.6 years in Fontana.
- Fontana has a higher median income of $93,230 compared to $72,326 in Ellsworth.
- In Ellsworth, the percentage of married families is higher at 38.0%, compared to 36.0% in Fontana.
- Fontana has a higher poverty level at 13% compared to 9% in Ellsworth.
- The unemployment rate in Fontana is higher at 5.0%, compared to 3.0% in Ellsworth.
Demographics
Demographics Fontana vs Ellsworth provide insight into the diversity of the communities to compare.
Demographic | Fontana | Ellsworth |
---|---|---|
Black | 8 | 1 |
White | 2 | 85 |
Asian | 7 | Data is updating |
Hispanic | 68 | 5 |
Two or More Races | 14 | 9 |
American Indian | 1 | Data is updating |
Demographics Comparison: Fontana vs Ellsworth
- A higher percentage of Black residents are in Fontana at 8% compared to 1% in Ellsworth.
- The percentage of White residents is higher in Ellsworth at 85% compared to 2% in Fontana.
- The Asian population is larger in Fontana at 7% compared to 0% in Ellsworth.
- The Hispanic community is larger in Fontana at 68% compared to 5% in Ellsworth.
- More residents identify as two or more races in Fontana at 14% compared to 9% in Ellsworth.
- A greater percentage of American Indian residents live in Fontana at 1% compared to 0% in Ellsworth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fontana | Ellsworth |
---|---|---|
Mental Health Not Good | 16.2% | 14.4% |
Physical Health Not Good | 12.6% | 9.2% |
Depression | 17.0% | 22.9% |
Smoking | 12.4% | 15.1% |
Binge Drinking | 15.1% | 25.6% |
Obesity | 38.6% | 34.1% |
Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Fontana vs Ellsworth
- More residents in Fontana report poor mental health at 16.2% compared to 14.4% in Ellsworth.
- Higher depression rates are seen in Ellsworth at 22.9% versus 17.0% in Fontana.
- Ellsworth has a higher smoking rate at 15.1% compared to 12.4% in Fontana.
- More residents engage in binge drinking in Ellsworth at 25.6% compared to 15.1% in Fontana.
- Obesity rates are higher in Fontana at 38.6% compared to 34.1% in Ellsworth.
- There is a higher percentage of disabled individuals in Ellsworth at 14.0% compared to 8.0% in Fontana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fontana | Ellsworth |
---|---|---|
No Schooling | 2.2% (4,748) | 0.3% (9) |
High School Diploma | 16.3% (34,556) | 21.3% (705) |
Less than High School | 25.3% (53,655) | 13.8% (456) |
Bachelor's Degree and Higher | 12.0% (25,587) | 12.6% (416) |
Education Levels Comparison: Fontana vs Ellsworth
- A higher percentage of residents in Fontana have no formal schooling at 2.2% compared to 0.3% in Ellsworth.
- In Ellsworth, the rate of residents with high school diplomas is higher at 21.3% compared to 16.3% in Fontana.
- More residents in Fontana have less than a high school education at 25.3% compared to 13.8% in Ellsworth.
- In Ellsworth, a larger share of residents have a bachelor's degree or higher at 12.6% compared to 12.0% in Fontana.
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.