Demographics details for Newport beach, CA vs La crosse, WI
Population Overview
Compare main population characteristics in Newport beach, CA vs La crosse, WI.
Data | Newport beach | La crosse |
---|---|---|
Population | 83,993 | 51,380 |
Median Age | 46.7 years | 30.0 years |
Median Income | $149,471 | $51,836 |
Married Families | 45.0% | 26.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Newport beach vs La crosse
- In Newport beach, the population is higher at 83,993, compared to 51,380 in La crosse.
- Residents in Newport beach have a higher median age of 46.7 years compared to 30.0 years in La crosse.
- Newport beach has a higher median income of $149,471 compared to $51,836 in La crosse.
- A higher percentage of married families is found in Newport beach at 45.0% compared to 26.0% in La crosse.
- The poverty level is higher in La crosse at 10%, compared to 6% in Newport beach.
- The unemployment rate in Newport beach is higher at 3.5%, compared to 3.2% in La crosse.
Demographics
Demographics Newport beach vs La crosse provide insight into the diversity of the communities to compare.
Demographic | Newport beach | La crosse |
---|---|---|
Black | 1 | 2 |
White | 71 | 88 |
Asian | 8 | 4 |
Hispanic | 11 | 2 |
Two or More Races | 9 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Newport beach vs La crosse
- In La crosse, the percentage of Black residents is higher at 2% compared to 1% in Newport beach.
- The percentage of White residents is higher in La crosse at 88% compared to 71% in Newport beach.
- The Asian population is larger in Newport beach at 8% compared to 4% in La crosse.
- The Hispanic community is larger in Newport beach at 11% compared to 2% in La crosse.
- More residents identify as two or more races in Newport beach at 9% compared to 4% in La crosse.
- The percentage of American Indian residents is the same in both Newport beach and La crosse at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Newport beach | La crosse |
---|---|---|
Mental Health Not Good | 13.2% | 15.8% |
Physical Health Not Good | 7.5% | 10.5% |
Depression | 18.2% | 25.7% |
Smoking | 7.3% | 16.8% |
Binge Drinking | 18.7% | 23.1% |
Obesity | 23.5% | 36.9% |
Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Newport beach vs La crosse
- In La crosse, a higher percentage report poor mental health at 15.8% compared to 13.2% in Newport beach.
- Higher depression rates are seen in La crosse at 25.7% versus 18.2% in Newport beach.
- La crosse has a higher smoking rate at 16.8% compared to 7.3% in Newport beach.
- More residents engage in binge drinking in La crosse at 23.1% compared to 18.7% in Newport beach.
- La crosse has higher obesity rates at 36.9% compared to 23.5% in Newport beach.
- There is a higher percentage of disabled individuals in La crosse at 12.0% compared to 8.0% in Newport beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Newport beach | La crosse |
---|---|---|
No Schooling | 0.5% (429) | 0.5% (232) |
High School Diploma | 5.1% (4,249) | 13.6% (6,986) |
Less than High School | 3.7% (3,142) | 5.3% (2,721) |
Bachelor's Degree and Higher | 53.0% (44,551) | 20.8% (10,707) |
Education Levels Comparison: Newport beach vs La crosse
- The percentage of residents with no formal schooling is the same in both Newport beach and La crosse at 0.5%.
- In La crosse, the rate of residents with high school diplomas is higher at 13.6% compared to 5.1% in Newport beach.
- The percentage of residents with less than a high school education is higher in La crosse at 5.3%, compared to 3.7% in Newport beach.
- A higher percentage of residents in Newport beach hold a bachelor's degree or higher at 53.0% compared to 20.8% in La crosse.
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.