Demographics details for Wabash, IN vs Newport beach, CA
Population Overview
Compare main population characteristics in Wabash, IN vs Newport beach, CA.
Data | Wabash | Newport beach |
---|---|---|
Population | 10,347 | 83,993 |
Median Age | 41.0 years | 46.7 years |
Median Income | $51,127 | $149,471 |
Married Families | 39.0% | 45.0% |
Poverty Level | 11% | 6% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Wabash vs Newport beach
- The population in Newport beach is higher at 83,993, compared to 10,347 in Wabash.
- The median age in Newport beach is higher at 46.7 years, compared to 41.0 years in Wabash.
- Newport beach has a higher median income of $149,471, compared to $51,127 in Wabash.
- In Newport beach, the percentage of married families is higher at 45.0%, compared to 39.0% in Wabash.
- Wabash has a higher poverty level at 11% compared to 6% in Newport beach.
- The unemployment rate is the same in both Wabash and Newport beach at 3.5%.
Demographics
Demographics Wabash vs Newport beach provide insight into the diversity of the communities to compare.
Demographic | Wabash | Newport beach |
---|---|---|
Black | Data is updating | 1 |
White | 94 | 71 |
Asian | Data is updating | 8 |
Hispanic | 4 | 11 |
Two or More Races | 2 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wabash vs Newport beach
- In Newport beach, the percentage of Black residents is higher at 1% compared to 0% in Wabash.
- Wabash has a higher percentage of White residents at 94% compared to 71% in Newport beach.
- In Newport beach, the Asian population stands at 8%, greater than 0% in Wabash.
- Newport beach has a higher percentage of Hispanic residents at 11%, compared to 4% in Wabash.
- The percentage of residents identifying as two or more races is higher in Newport beach at 9%, compared to 2% in Wabash.
- The percentage of American Indian residents is the same in both Wabash and Newport beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wabash | Newport beach |
---|---|---|
Mental Health Not Good | 18.4% | 13.2% |
Physical Health Not Good | 12.7% | 7.5% |
Depression | 27.2% | 18.2% |
Smoking | 22.5% | 7.3% |
Binge Drinking | 16.7% | 18.7% |
Obesity | 40.4% | 23.5% |
Disability Percentage | 19.0% | 8.0% |
Health Statistics Comparison: Wabash vs Newport beach
- More residents in Wabash report poor mental health at 18.4% compared to 13.2% in Newport beach.
- Depression is more prevalent in Wabash at 27.2% compared to 18.2% in Newport beach.
- Smoking is more prevalent in Wabash at 22.5% compared to 7.3% in Newport beach.
- More residents engage in binge drinking in Newport beach at 18.7% compared to 16.7% in Wabash.
- Obesity rates are higher in Wabash at 40.4% compared to 23.5% in Newport beach.
- Disability percentages are higher in Wabash at 19.0% 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 | Wabash | Newport beach |
---|---|---|
No Schooling | 0.9% (95) | 0.5% (429) |
High School Diploma | 25.5% (2,642) | 5.1% (4,249) |
Less than High School | 14.2% (1,468) | 3.7% (3,142) |
Bachelor's Degree and Higher | 15.6% (1,618) | 53.0% (44,551) |
Education Levels Comparison: Wabash vs Newport beach
- A higher percentage of residents in Wabash have no formal schooling at 0.9% compared to 0.5% in Newport beach.
- A higher percentage of residents in Wabash hold a high school diploma at 25.5% compared to 5.1% in Newport beach.
- More residents in Wabash have less than a high school education at 14.2% compared to 3.7% in Newport beach.
- In Newport beach, a larger share of residents have a bachelor's degree or higher at 53.0% compared to 15.6% in Wabash.
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.