Demographics details for Milford, CT vs Ogema, WI
Population Overview
Compare main population characteristics in Milford, CT vs Ogema, WI.
| Data | Milford | Ogema |
|---|---|---|
| Population | 50,471 | 684 |
| Median Age | 46.6 years | 35.0 years |
| Median Income | $104,503 | $55,000 |
| Married Families | 45.0% | 40.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.2 | 3.0 |
Population Comparison: Milford vs Ogema
- In Milford, the population is higher at 50,471, compared to 684 in Ogema.
- Residents in Milford have a higher median age of 46.6 years compared to 35.0 years in Ogema.
- Milford has a higher median income of $104,503 compared to $55,000 in Ogema.
- A higher percentage of married families is found in Milford at 45.0% compared to 40.0% in Ogema.
- The poverty level is identical in both Milford and Ogema at 5%.
- The unemployment rate in Milford is higher at 4.2%, compared to 3.0% in Ogema.
Demographics
Demographics Milford vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Milford | Ogema |
|---|---|---|
| Black | 2 | 1 |
| White | 79 | 96 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 2 |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Ogema
- A higher percentage of Black residents are in Milford at 2% compared to 1% in Ogema.
- The percentage of White residents is higher in Ogema at 96% compared to 79% in Milford.
- The Asian population is larger in Milford at 5% compared to 0% in Ogema.
- The Hispanic community is larger in Milford at 8% compared to 2% in Ogema.
- More residents identify as two or more races in Milford at 6% compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Milford and Ogema at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milford | Ogema |
|---|---|---|
| Mental Health Not Good | 13.2% | Data is updating% |
| Physical Health Not Good | 7.9% | Data is updating% |
| Depression | 20.5% | Data is updating% |
| Smoking | 12.7% | Data is updating% |
| Binge Drinking | 17.0% | Data is updating% |
| Obesity | 27.5% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Milford vs Ogema
- More residents in Milford report poor mental health at 13.2% compared to 0.0% in Ogema.
- Depression is more prevalent in Milford at 20.5% compared to 0.0% in Ogema.
- Smoking is more prevalent in Milford at 12.7% compared to 0.0% in Ogema.
- Binge drinking is more common in Milford at 17.0% compared to 0.0% in Ogema.
- Obesity rates are higher in Milford at 27.5% compared to 0.0% in Ogema.
- Disability percentages are higher in Milford at 10.0% 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 | Milford | Ogema |
|---|---|---|
| No Schooling | 0.7% (366) | 0.0% (Data is updating) |
| High School Diploma | 16.7% (8,431) | 0.0% (Data is updating) |
| Less than High School | 6.6% (3,307) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 36.0% (18,184) | 0.0% (Data is updating) |
Education Levels Comparison: Milford vs Ogema
- A higher percentage of residents in Milford have no formal schooling at 0.7% compared to 0.0% in Ogema.
- A higher percentage of residents in Milford hold a high school diploma at 16.7% compared to 0.0% in Ogema.
- More residents in Milford have less than a high school education at 6.6% compared to 0.0% in Ogema.
- A higher percentage of residents in Milford hold a bachelor's degree or higher at 36.0% 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.