Demographics details for Lake odessa, MI vs Jim falls, WI
Population Overview
Compare main population characteristics in Lake odessa, MI vs Jim falls, WI.
Data | Lake odessa | Jim falls |
---|---|---|
Population | 2,062 | 219 |
Median Age | 36.0 years | 40.6 years |
Median Income | $66,397 | $87,143 |
Married Families | 40.0% | 53.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Lake odessa vs Jim falls
- In Lake odessa, the population is higher at 2,062, compared to 219 in Jim falls.
- The median age in Jim falls is higher at 40.6 years, compared to 36.0 years in Lake odessa.
- Jim falls has a higher median income of $87,143, compared to $66,397 in Lake odessa.
- In Jim falls, the percentage of married families is higher at 53.0%, compared to 40.0% in Lake odessa.
- Lake odessa has a higher poverty level at 10% compared to 5% in Jim falls.
- Jim falls has a higher unemployment rate at 4.2% compared to 3.5% in Lake odessa.
Demographics
Demographics Lake odessa vs Jim falls provide insight into the diversity of the communities to compare.
Demographic | Lake odessa | Jim falls |
---|---|---|
Black | 3 | Data is updating |
White | 81 | 100 |
Asian | 1 | Data is updating |
Hispanic | 6 | Data is updating |
Two or More Races | 9 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake odessa vs Jim falls
- A higher percentage of Black residents are in Lake odessa at 3% compared to 0% in Jim falls.
- The percentage of White residents is higher in Jim falls at 100% compared to 81% in Lake odessa.
- The Asian population is larger in Lake odessa at 1% compared to 0% in Jim falls.
- The Hispanic community is larger in Lake odessa at 6% compared to 0% in Jim falls.
- More residents identify as two or more races in Lake odessa at 9% compared to 0% in Jim falls.
- The percentage of American Indian residents is the same in both Lake odessa and Jim falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lake odessa | Jim falls |
---|---|---|
Mental Health Not Good | 17.5% | 15.4% |
Physical Health Not Good | 11.1% | 10.2% |
Depression | 24.5% | 24.5% |
Smoking | 19.0% | 17.2% |
Binge Drinking | 18.6% | 25.0% |
Obesity | 35.7% | 34.0% |
Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Lake odessa vs Jim falls
- More residents in Lake odessa report poor mental health at 17.5% compared to 15.4% in Jim falls.
- Both cities have comparable depression rates at 24.5%.
- Smoking is more prevalent in Lake odessa at 19.0% compared to 17.2% in Jim falls.
- More residents engage in binge drinking in Jim falls at 25.0% compared to 18.6% in Lake odessa.
- Obesity rates are higher in Lake odessa at 35.7% compared to 34.0% in Jim falls.
- Disability percentages are the same in both Lake odessa and Jim falls at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lake odessa | Jim falls |
---|---|---|
No Schooling | 0.2% (5) | 0.0% (Data is updating) |
High School Diploma | 21.2% (438) | 14.2% (31) |
Less than High School | 15.7% (324) | 13.7% (30) |
Bachelor's Degree and Higher | 10.8% (222) | 21.5% (47) |
Education Levels Comparison: Lake odessa vs Jim falls
- A higher percentage of residents in Lake odessa have no formal schooling at 0.2% compared to 0.0% in Jim falls.
- A higher percentage of residents in Lake odessa hold a high school diploma at 21.2% compared to 14.2% in Jim falls.
- More residents in Lake odessa have less than a high school education at 15.7% compared to 13.7% in Jim falls.
- In Jim falls, a larger share of residents have a bachelor's degree or higher at 21.5% 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.