Demographics details for Milford, CT vs Wakita, OK
Population Overview
Compare main population characteristics in Milford, CT vs Wakita, OK.
| Data | Milford | Wakita |
|---|---|---|
| Population | 50,471 | 307 |
| Median Age | 46.6 years | 35.5 years |
| Median Income | $104,503 | $34,375 |
| Married Families | 45.0% | 32.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Milford vs Wakita
- In Milford, the population is higher at 50,471, compared to 307 in Wakita.
- Residents in Milford have a higher median age of 46.6 years compared to 35.5 years in Wakita.
- Milford has a higher median income of $104,503 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Milford at 45.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 5% in Milford.
- The unemployment rate in Milford is higher at 4.2%, compared to 3.5% in Wakita.
Demographics
Demographics Milford vs Wakita provide insight into the diversity of the communities to compare.
| Demographic | Milford | Wakita |
|---|---|---|
| Black | 2 | Data is updating |
| White | 79 | 74 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 20 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Milford vs Wakita
- A higher percentage of Black residents are in Milford at 2% compared to 0% in Wakita.
- Milford has a higher percentage of White residents at 79% compared to 74% in Wakita.
- The Asian population is larger in Milford at 5% compared to 0% in Wakita.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 8% in Milford.
- More residents identify as two or more races in Milford at 6% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milford | Wakita |
|---|---|---|
| Mental Health Not Good | 13.2% | 17.8% |
| Physical Health Not Good | 7.9% | 11.4% |
| Depression | 20.5% | 25.5% |
| Smoking | 12.7% | 17.8% |
| Binge Drinking | 17.0% | 15.8% |
| Obesity | 27.5% | 39.1% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Milford vs Wakita
- In Wakita, a higher percentage report poor mental health at 17.8% compared to 13.2% in Milford.
- Higher depression rates are seen in Wakita at 25.5% versus 20.5% in Milford.
- Wakita has a higher smoking rate at 17.8% compared to 12.7% in Milford.
- Binge drinking is more common in Milford at 17.0% compared to 15.8% in Wakita.
- Wakita has higher obesity rates at 39.1% compared to 27.5% in Milford.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 10.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milford | Wakita |
|---|---|---|
| No Schooling | 0.7% (366) | 0.0% (Data is updating) |
| High School Diploma | 16.7% (8,431) | 25.1% (77) |
| Less than High School | 6.6% (3,307) | 10.4% (32) |
| Bachelor's Degree and Higher | 36.0% (18,184) | 11.4% (35) |
Education Levels Comparison: Milford vs Wakita
- A higher percentage of residents in Milford have no formal schooling at 0.7% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 16.7% in Milford.
- The percentage of residents with less than a high school education is higher in Wakita at 10.4%, compared to 6.6% in Milford.
- A higher percentage of residents in Milford hold a bachelor's degree or higher at 36.0% compared to 11.4% in Wakita.
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.