Demographics details for Citrus heights, CA vs Bryan, OH
Population Overview
Compare main population characteristics in Citrus heights, CA vs Bryan, OH.
Data | Citrus heights | Bryan |
---|---|---|
Population | 86,433 | 8,623 |
Median Age | 38.1 years | 46.5 years |
Median Income | $75,022 | $51,415 |
Married Families | 36.0% | 33.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Citrus heights vs Bryan
- In Citrus heights, the population is higher at 86,433, compared to 8,623 in Bryan.
- The median age in Bryan is higher at 46.5 years, compared to 38.1 years in Citrus heights.
- Citrus heights has a higher median income of $75,022 compared to $51,415 in Bryan.
- A higher percentage of married families is found in Citrus heights at 36.0% compared to 33.0% in Bryan.
- Citrus heights has a higher poverty level at 10% compared to 9% in Bryan.
- The unemployment rate in Citrus heights is higher at 4.5%, compared to 4.2% in Bryan.
Demographics
Demographics Citrus heights vs Bryan provide insight into the diversity of the communities to compare.
Demographic | Citrus heights | Bryan |
---|---|---|
Black | 3 | 2 |
White | 62 | 92 |
Asian | 5 | 1 |
Hispanic | 20 | 4 |
Two or More Races | 9 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Citrus heights vs Bryan
- A higher percentage of Black residents are in Citrus heights at 3% compared to 2% in Bryan.
- The percentage of White residents is higher in Bryan at 92% compared to 62% in Citrus heights.
- The Asian population is larger in Citrus heights at 5% compared to 1% in Bryan.
- The Hispanic community is larger in Citrus heights at 20% compared to 4% in Bryan.
- More residents identify as two or more races in Citrus heights at 9% compared to 1% in Bryan.
- A greater percentage of American Indian residents live in Citrus heights at 1% compared to 0% in Bryan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Citrus heights | Bryan |
---|---|---|
Mental Health Not Good | 17.7% | 17.5% |
Physical Health Not Good | 11.3% | 11.5% |
Depression | 21.5% | 23.2% |
Smoking | 14.1% | 20.5% |
Binge Drinking | 17.3% | 18.3% |
Obesity | 32.8% | 41.8% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Citrus heights vs Bryan
- More residents in Citrus heights report poor mental health at 17.7% compared to 17.5% in Bryan.
- Higher depression rates are seen in Bryan at 23.2% versus 21.5% in Citrus heights.
- Bryan has a higher smoking rate at 20.5% compared to 14.1% in Citrus heights.
- More residents engage in binge drinking in Bryan at 18.3% compared to 17.3% in Citrus heights.
- Bryan has higher obesity rates at 41.8% compared to 32.8% in Citrus heights.
- There is a higher percentage of disabled individuals in Bryan at 16.0% compared to 15.0% in Citrus heights.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Citrus heights | Bryan |
---|---|---|
No Schooling | 1.5% (1,266) | 0.5% (45) |
High School Diploma | 15.8% (13,657) | 27.7% (2,385) |
Less than High School | 12.5% (10,787) | 16.1% (1,391) |
Bachelor's Degree and Higher | 15.8% (13,696) | 11.4% (984) |
Education Levels Comparison: Citrus heights vs Bryan
- A higher percentage of residents in Citrus heights have no formal schooling at 1.5% compared to 0.5% in Bryan.
- In Bryan, the rate of residents with high school diplomas is higher at 27.7% compared to 15.8% in Citrus heights.
- The percentage of residents with less than a high school education is higher in Bryan at 16.1%, compared to 12.5% in Citrus heights.
- A higher percentage of residents in Citrus heights hold a bachelor's degree or higher at 15.8% compared to 11.4% in Bryan.
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.