Demographics details for Holliday, TX vs Lake odessa, MI
Population Overview
Compare main population characteristics in Holliday, TX vs Lake odessa, MI.
Data | Holliday | Lake odessa |
---|---|---|
Population | 1,605 | 2,062 |
Median Age | 34.2 years | 36.0 years |
Median Income | $61,190 | $66,397 |
Married Families | 41.0% | 40.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 2.9 | 3.5 |
Population Comparison: Holliday vs Lake odessa
- The population in Lake odessa is higher at 2,062, compared to 1,605 in Holliday.
- The median age in Lake odessa is higher at 36.0 years, compared to 34.2 years in Holliday.
- Lake odessa has a higher median income of $66,397, compared to $61,190 in Holliday.
- A higher percentage of married families is found in Holliday at 41.0% compared to 40.0% in Lake odessa.
- Holliday has a higher poverty level at 11% compared to 10% in Lake odessa.
- Lake odessa has a higher unemployment rate at 3.5% compared to 2.9% in Holliday.
Demographics
Demographics Holliday vs Lake odessa provide insight into the diversity of the communities to compare.
Demographic | Holliday | Lake odessa |
---|---|---|
Black | Data is updating | 3 |
White | 87 | 81 |
Asian | Data is updating | 1 |
Hispanic | 6 | 6 |
Two or More Races | 5 | 9 |
American Indian | 2 | Data is updating |
Demographics Comparison: Holliday vs Lake odessa
- In Lake odessa, the percentage of Black residents is higher at 3% compared to 0% in Holliday.
- Holliday has a higher percentage of White residents at 87% compared to 81% in Lake odessa.
- In Lake odessa, the Asian population stands at 1%, greater than 0% in Holliday.
- The percentage of Hispanic residents is the same in both Holliday and Lake odessa at 6%.
- The percentage of residents identifying as two or more races is higher in Lake odessa at 9%, compared to 5% in Holliday.
- A greater percentage of American Indian residents live in Holliday at 2% compared to 0% in Lake odessa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Holliday | Lake odessa |
---|---|---|
Mental Health Not Good | 18.5% | 17.5% |
Physical Health Not Good | 12.0% | 11.1% |
Depression | 25.8% | 24.5% |
Smoking | 19.0% | 19.0% |
Binge Drinking | 19.8% | 18.6% |
Obesity | 36.5% | 35.7% |
Disability Percentage | 18.0% | 15.0% |
Health Statistics Comparison: Holliday vs Lake odessa
- More residents in Holliday report poor mental health at 18.5% compared to 17.5% in Lake odessa.
- Depression is more prevalent in Holliday at 25.8% compared to 24.5% in Lake odessa.
- Smoking rates are the same in both Holliday and Lake odessa at 19.0%.
- Binge drinking is more common in Holliday at 19.8% compared to 18.6% in Lake odessa.
- Obesity rates are higher in Holliday at 36.5% compared to 35.7% in Lake odessa.
- Disability percentages are higher in Holliday at 18.0% compared to 15.0% in Lake odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Holliday | Lake odessa |
---|---|---|
No Schooling | 0.5% (8) | 0.2% (5) |
High School Diploma | 21.7% (349) | 21.2% (438) |
Less than High School | 7.7% (124) | 15.7% (324) |
Bachelor's Degree and Higher | 14.3% (230) | 10.8% (222) |
Education Levels Comparison: Holliday vs Lake odessa
- A higher percentage of residents in Holliday have no formal schooling at 0.5% compared to 0.2% in Lake odessa.
- A higher percentage of residents in Holliday hold a high school diploma at 21.7% compared to 21.2% in Lake odessa.
- The percentage of residents with less than a high school education is higher in Lake odessa at 15.7%, compared to 7.7% in Holliday.
- A higher percentage of residents in Holliday hold a bachelor's degree or higher at 14.3% compared to 10.8% in Lake odessa.
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.