Demographics details for Hollister, CA vs Lake odessa, MI
Population Overview
Compare main population characteristics in Hollister, CA vs Lake odessa, MI.
Data | Hollister | Lake odessa |
---|---|---|
Population | 44,218 | 2,062 |
Median Age | 33.5 years | 36.0 years |
Median Income | $95,764 | $66,397 |
Married Families | 34.0% | 40.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 6.8 | 3.5 |
Population Comparison: Hollister vs Lake odessa
- In Hollister, the population is higher at 44,218, compared to 2,062 in Lake odessa.
- The median age in Lake odessa is higher at 36.0 years, compared to 33.5 years in Hollister.
- Hollister has a higher median income of $95,764 compared to $66,397 in Lake odessa.
- In Lake odessa, the percentage of married families is higher at 40.0%, compared to 34.0% in Hollister.
- Hollister has a higher poverty level at 12% compared to 10% in Lake odessa.
- The unemployment rate in Hollister is higher at 6.8%, compared to 3.5% in Lake odessa.
Demographics
Demographics Hollister vs Lake odessa provide insight into the diversity of the communities to compare.
Demographic | Hollister | Lake odessa |
---|---|---|
Black | 1 | 3 |
White | -1 | 81 |
Asian | 3 | 1 |
Hispanic | 66 | 6 |
Two or More Races | 29 | 9 |
American Indian | 2 | Data is updating |
Demographics Comparison: Hollister vs Lake odessa
- In Lake odessa, the percentage of Black residents is higher at 3% compared to 1% in Hollister.
- The percentage of White residents is higher in Lake odessa at 81% compared to -1% in Hollister.
- The Asian population is larger in Hollister at 3% compared to 1% in Lake odessa.
- The Hispanic community is larger in Hollister at 66% compared to 6% in Lake odessa.
- More residents identify as two or more races in Hollister at 29% compared to 9% in Lake odessa.
- A greater percentage of American Indian residents live in Hollister at 2% compared to 0% in Lake odessa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hollister | Lake odessa |
---|---|---|
Mental Health Not Good | 16.0% | 17.5% |
Physical Health Not Good | 12.0% | 11.1% |
Depression | 18.3% | 24.5% |
Smoking | 12.3% | 19.0% |
Binge Drinking | 17.2% | 18.6% |
Obesity | 31.9% | 35.7% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Hollister vs Lake odessa
- In Lake odessa, a higher percentage report poor mental health at 17.5% compared to 16.0% in Hollister.
- Higher depression rates are seen in Lake odessa at 24.5% versus 18.3% in Hollister.
- Lake odessa has a higher smoking rate at 19.0% compared to 12.3% in Hollister.
- More residents engage in binge drinking in Lake odessa at 18.6% compared to 17.2% in Hollister.
- Lake odessa has higher obesity rates at 35.7% compared to 31.9% in Hollister.
- There is a higher percentage of disabled individuals in Lake odessa at 15.0% compared to 9.0% in Hollister.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hollister | Lake odessa |
---|---|---|
No Schooling | 2.2% (952) | 0.2% (5) |
High School Diploma | 14.8% (6,534) | 21.2% (438) |
Less than High School | 22.3% (9,855) | 15.7% (324) |
Bachelor's Degree and Higher | 10.1% (4,484) | 10.8% (222) |
Education Levels Comparison: Hollister vs Lake odessa
- A higher percentage of residents in Hollister have no formal schooling at 2.2% compared to 0.2% in Lake odessa.
- In Lake odessa, the rate of residents with high school diplomas is higher at 21.2% compared to 14.8% in Hollister.
- More residents in Hollister have less than a high school education at 22.3% compared to 15.7% in Lake odessa.
- In Lake odessa, a larger share of residents have a bachelor's degree or higher at 10.8% compared to 10.1% in Hollister.
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.