Demographics details for Milford, CT vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Milford, CT vs Oklahoma city, OK.
Data | Milford | Oklahoma city |
---|---|---|
Population | 50,471 | 694,800 |
Median Age | 46.6 years | 34.9 years |
Median Income | $104,503 | $64,251 |
Married Families | 45.0% | 36.0% |
Poverty Level | 5% | 13% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Milford vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 50,471 in Milford.
- Residents in Milford have a higher median age of 46.6 years compared to 34.9 years in Oklahoma city.
- Milford has a higher median income of $104,503 compared to $64,251 in Oklahoma city.
- A higher percentage of married families is found in Milford at 45.0% compared to 36.0% in Oklahoma city.
- The poverty level is higher in Oklahoma city at 13%, compared to 5% in Milford.
- The unemployment rate in Milford is higher at 4.2%, compared to 3.5% in Oklahoma city.
Demographics
Demographics Milford vs Oklahoma city provide insight into the diversity of the communities to compare.
Demographic | Milford | Oklahoma city |
---|---|---|
Black | 2 | 13 |
White | 79 | 48 |
Asian | 5 | 4 |
Hispanic | 8 | 20 |
Two or More Races | 6 | 12 |
American Indian | Data is updating | 3 |
Demographics Comparison: Milford vs Oklahoma city
- In Oklahoma city, the percentage of Black residents is higher at 13% compared to 2% in Milford.
- Milford has a higher percentage of White residents at 79% compared to 48% in Oklahoma city.
- The Asian population is larger in Milford at 5% compared to 4% in Oklahoma city.
- Oklahoma city has a higher percentage of Hispanic residents at 20%, compared to 8% in Milford.
- The percentage of residents identifying as two or more races is higher in Oklahoma city at 12%, compared to 6% in Milford.
- In Oklahoma city, the percentage of American Indian residents is higher at 3%, compared to 0% in Milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | Oklahoma city |
---|---|---|
Mental Health Not Good | 13.2% | 18.1% |
Physical Health Not Good | 7.9% | 12.3% |
Depression | 20.5% | 24.8% |
Smoking | 12.7% | 18.2% |
Binge Drinking | 17.0% | 13.1% |
Obesity | 27.5% | 38.0% |
Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Milford vs Oklahoma city
- In Oklahoma city, a higher percentage report poor mental health at 18.1% compared to 13.2% in Milford.
- Higher depression rates are seen in Oklahoma city at 24.8% versus 20.5% in Milford.
- Oklahoma city has a higher smoking rate at 18.2% compared to 12.7% in Milford.
- Binge drinking is more common in Milford at 17.0% compared to 13.1% in Oklahoma city.
- Oklahoma city has higher obesity rates at 38.0% compared to 27.5% in Milford.
- There is a higher percentage of disabled individuals in Oklahoma city at 12.0% 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 | Oklahoma city |
---|---|---|
No Schooling | 0.7% (366) | 1.3% (9,023) |
High School Diploma | 16.7% (8,431) | 13.0% (90,670) |
Less than High School | 6.6% (3,307) | 14.0% (97,428) |
Bachelor's Degree and Higher | 36.0% (18,184) | 21.3% (148,128) |
Education Levels Comparison: Milford vs Oklahoma city
- In Oklahoma city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.7% in Milford.
- A higher percentage of residents in Milford hold a high school diploma at 16.7% compared to 13.0% in Oklahoma city.
- The percentage of residents with less than a high school education is higher in Oklahoma city at 14.0%, 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 21.3% in Oklahoma city.
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.