Demographics details for Anaheim, CA vs Sterling, OK
Population Overview
Compare main population characteristics in Anaheim, CA vs Sterling, OK.
Data | Anaheim | Sterling |
---|---|---|
Population | 344,461 | 678 |
Median Age | 35.4 years | 39.7 years |
Median Income | $88,538 | $64,464 |
Married Families | 37.0% | 47.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Anaheim vs Sterling
- In Anaheim, the population is higher at 344,461, compared to 678 in Sterling.
- The median age in Sterling is higher at 39.7 years, compared to 35.4 years in Anaheim.
- Anaheim has a higher median income of $88,538 compared to $64,464 in Sterling.
- In Sterling, the percentage of married families is higher at 47.0%, compared to 37.0% in Anaheim.
- The poverty level is identical in both Anaheim and Sterling at 12%.
- The unemployment rate in Anaheim is higher at 4.2%, compared to 3.5% in Sterling.
Demographics
Demographics Anaheim vs Sterling provide insight into the diversity of the communities to compare.
Demographic | Anaheim | Sterling |
---|---|---|
Black | 3 | Data is updating |
White | 8 | 82 |
Asian | 18 | 1 |
Hispanic | 54 | 6 |
Two or More Races | 16 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Anaheim vs Sterling
- A higher percentage of Black residents are in Anaheim at 3% compared to 0% in Sterling.
- The percentage of White residents is higher in Sterling at 82% compared to 8% in Anaheim.
- The Asian population is larger in Anaheim at 18% compared to 1% in Sterling.
- The Hispanic community is larger in Anaheim at 54% compared to 6% in Sterling.
- More residents identify as two or more races in Anaheim at 16% compared to 11% in Sterling.
- A greater percentage of American Indian residents live in Anaheim at 1% compared to 0% in Sterling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Anaheim | Sterling |
---|---|---|
Mental Health Not Good | 15.5% | 17.9% |
Physical Health Not Good | 11.6% | 12.2% |
Depression | 17.3% | 28.2% |
Smoking | 11.9% | 20.1% |
Binge Drinking | 15.4% | 16.4% |
Obesity | 28.6% | 42.3% |
Disability Percentage | 9.0% | 40.0% |
Health Statistics Comparison: Anaheim vs Sterling
- In Sterling, a higher percentage report poor mental health at 17.9% compared to 15.5% in Anaheim.
- Higher depression rates are seen in Sterling at 28.2% versus 17.3% in Anaheim.
- Sterling has a higher smoking rate at 20.1% compared to 11.9% in Anaheim.
- More residents engage in binge drinking in Sterling at 16.4% compared to 15.4% in Anaheim.
- Sterling has higher obesity rates at 42.3% compared to 28.6% in Anaheim.
- There is a higher percentage of disabled individuals in Sterling at 40.0% compared to 9.0% in Anaheim.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Anaheim | Sterling |
---|---|---|
No Schooling | 3.2% (10,878) | 0.0% (Data is updating) |
High School Diploma | 13.6% (46,926) | 45.0% (305) |
Less than High School | 28.0% (96,503) | 11.2% (76) |
Bachelor's Degree and Higher | 18.9% (65,019) | 6.5% (44) |
Education Levels Comparison: Anaheim vs Sterling
- A higher percentage of residents in Anaheim have no formal schooling at 3.2% compared to 0.0% in Sterling.
- In Sterling, the rate of residents with high school diplomas is higher at 45.0% compared to 13.6% in Anaheim.
- More residents in Anaheim have less than a high school education at 28.0% compared to 11.2% in Sterling.
- A higher percentage of residents in Anaheim hold a bachelor's degree or higher at 18.9% compared to 6.5% in Sterling.
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.