Demographics details for Ogema, WI vs Horn lake, MS
Population Overview
Compare main population characteristics in Ogema, WI vs Horn lake, MS.
Data | Ogema | Horn lake |
---|---|---|
Population | 684 | 26,550 |
Median Age | 35.0 years | 35.5 years |
Median Income | $55,000 | $57,111 |
Married Families | 40.0% | 31.0% |
Poverty Level | 5% | 19% |
Unemployment Rate | 3.0 | 3.7 |
Population Comparison: Ogema vs Horn lake
- The population in Horn lake is higher at 26,550, compared to 684 in Ogema.
- The median age in Horn lake is higher at 35.5 years, compared to 35.0 years in Ogema.
- Horn lake has a higher median income of $57,111, compared to $55,000 in Ogema.
- A higher percentage of married families is found in Ogema at 40.0% compared to 31.0% in Horn lake.
- The poverty level is higher in Horn lake at 19%, compared to 5% in Ogema.
- Horn lake has a higher unemployment rate at 3.7% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Horn lake provide insight into the diversity of the communities to compare.
Demographic | Ogema | Horn lake |
---|---|---|
Black | 1 | 45 |
White | 96 | 40 |
Asian | Data is updating | 1 |
Hispanic | 2 | 9 |
Two or More Races | 1 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ogema vs Horn lake
- In Horn lake, the percentage of Black residents is higher at 45% compared to 1% in Ogema.
- Ogema has a higher percentage of White residents at 96% compared to 40% in Horn lake.
- In Horn lake, the Asian population stands at 1%, greater than 0% in Ogema.
- Horn lake has a higher percentage of Hispanic residents at 9%, compared to 2% in Ogema.
- The percentage of residents identifying as two or more races is higher in Horn lake at 5%, compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Ogema and Horn lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ogema | Horn lake |
---|---|---|
Mental Health Not Good | Data is updating% | 17.2% |
Physical Health Not Good | Data is updating% | 12.9% |
Depression | Data is updating% | 23.5% |
Smoking | Data is updating% | 20.4% |
Binge Drinking | Data is updating% | 12.9% |
Obesity | Data is updating% | 43.4% |
Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Ogema vs Horn lake
- In Horn lake, a higher percentage report poor mental health at 17.2% compared to 0.0% in Ogema.
- Higher depression rates are seen in Horn lake at 23.5% versus 0.0% in Ogema.
- Horn lake has a higher smoking rate at 20.4% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Horn lake at 12.9% compared to 0.0% in Ogema.
- Horn lake has higher obesity rates at 43.4% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Horn lake at 13.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ogema | Horn lake |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (252) |
High School Diploma | 0.0% (Data is updating) | 18.1% (4,818) |
Less than High School | 0.0% (Data is updating) | 16.3% (4,319) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.5% (2,777) |
Education Levels Comparison: Ogema vs Horn lake
- In Horn lake, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Ogema.
- In Horn lake, the rate of residents with high school diplomas is higher at 18.1% compared to 0.0% in Ogema.
- The percentage of residents with less than a high school education is higher in Horn lake at 16.3%, compared to 0.0% in Ogema.
- In Horn lake, a larger share of residents have a bachelor's degree or higher at 10.5% compared to 0.0% in Ogema.
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.