Demographics details for Webb city, MO vs Newport beach, CA
Population Overview
Compare main population characteristics in Webb city, MO vs Newport beach, CA.
Data | Webb city | Newport beach |
---|---|---|
Population | 13,165 | 83,993 |
Median Age | 34.2 years | 46.7 years |
Median Income | $58,964 | $149,471 |
Married Families | 36.0% | 45.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Webb city vs Newport beach
- The population in Newport beach is higher at 83,993, compared to 13,165 in Webb city.
- The median age in Newport beach is higher at 46.7 years, compared to 34.2 years in Webb city.
- Newport beach has a higher median income of $149,471, compared to $58,964 in Webb city.
- In Newport beach, the percentage of married families is higher at 45.0%, compared to 36.0% in Webb city.
- Webb city has a higher poverty level at 12% compared to 6% in Newport beach.
- The unemployment rate is the same in both Webb city and Newport beach at 3.5%.
Demographics
Demographics Webb city vs Newport beach provide insight into the diversity of the communities to compare.
Demographic | Webb city | Newport beach |
---|---|---|
Black | 2 | 1 |
White | 87 | 71 |
Asian | 2 | 8 |
Hispanic | 2 | 11 |
Two or More Races | 6 | 9 |
American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Newport beach
- A higher percentage of Black residents are in Webb city at 2% compared to 1% in Newport beach.
- Webb city has a higher percentage of White residents at 87% compared to 71% in Newport beach.
- In Newport beach, the Asian population stands at 8%, greater than 2% in Webb city.
- Newport beach has a higher percentage of Hispanic residents at 11%, compared to 2% in Webb city.
- The percentage of residents identifying as two or more races is higher in Newport beach at 9%, compared to 6% in Webb city.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Newport beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Webb city | Newport beach |
---|---|---|
Mental Health Not Good | 19.2% | 13.2% |
Physical Health Not Good | 13.6% | 7.5% |
Depression | 26.8% | 18.2% |
Smoking | 21.8% | 7.3% |
Binge Drinking | 16.2% | 18.7% |
Obesity | 40.0% | 23.5% |
Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Webb city vs Newport beach
- More residents in Webb city report poor mental health at 19.2% compared to 13.2% in Newport beach.
- Depression is more prevalent in Webb city at 26.8% compared to 18.2% in Newport beach.
- Smoking is more prevalent in Webb city at 21.8% compared to 7.3% in Newport beach.
- More residents engage in binge drinking in Newport beach at 18.7% compared to 16.2% in Webb city.
- Obesity rates are higher in Webb city at 40.0% compared to 23.5% in Newport beach.
- Disability percentages are higher in Webb city at 16.0% 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 | Webb city | Newport beach |
---|---|---|
No Schooling | 0.4% (53) | 0.5% (429) |
High School Diploma | 19.4% (2,556) | 5.1% (4,249) |
Less than High School | 11.6% (1,529) | 3.7% (3,142) |
Bachelor's Degree and Higher | 17.5% (2,301) | 53.0% (44,551) |
Education Levels Comparison: Webb city vs Newport beach
- In Newport beach, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Webb city.
- A higher percentage of residents in Webb city hold a high school diploma at 19.4% compared to 5.1% in Newport beach.
- More residents in Webb city have less than a high school education at 11.6% 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 17.5% in Webb city.
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.