Demographics details for Aurora, CO vs New milford, CT
Population Overview
Compare main population characteristics in Aurora, CO vs New milford, CT.
Data | Aurora | New milford |
---|---|---|
Population | 393,537 | 7,095 |
Median Age | 35.1 years | 41.0 years |
Median Income | $78,685 | $70,625 |
Married Families | 36.0% | 38.0% |
Poverty Level | 11% | 7% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Aurora vs New milford
- In Aurora, the population is higher at 393,537, compared to 7,095 in New milford.
- The median age in New milford is higher at 41.0 years, compared to 35.1 years in Aurora.
- Aurora has a higher median income of $78,685 compared to $70,625 in New milford.
- In New milford, the percentage of married families is higher at 38.0%, compared to 36.0% in Aurora.
- Aurora has a higher poverty level at 11% compared to 7% in New milford.
- The unemployment rate in Aurora is higher at 4.2%, compared to 3.5% in New milford.
Demographics
Demographics Aurora vs New milford provide insight into the diversity of the communities to compare.
Demographic | Aurora | New milford |
---|---|---|
Black | 16 | 4 |
White | 35 | 76 |
Asian | 6 | 4 |
Hispanic | 29 | 10 |
Two or More Races | 13 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Aurora vs New milford
- A higher percentage of Black residents are in Aurora at 16% compared to 4% in New milford.
- The percentage of White residents is higher in New milford at 76% compared to 35% in Aurora.
- The Asian population is larger in Aurora at 6% compared to 4% in New milford.
- The Hispanic community is larger in Aurora at 29% compared to 10% in New milford.
- More residents identify as two or more races in Aurora at 13% compared to 6% in New milford.
- A greater percentage of American Indian residents live in Aurora at 1% compared to 0% in New milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Aurora | New milford |
---|---|---|
Mental Health Not Good | 15.6% | 14.8% |
Physical Health Not Good | 10.8% | 9.2% |
Depression | 20.4% | 22.1% |
Smoking | 15.8% | 13.2% |
Binge Drinking | 17.7% | 17.1% |
Obesity | 28.2% | 27.2% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Aurora vs New milford
- More residents in Aurora report poor mental health at 15.6% compared to 14.8% in New milford.
- Higher depression rates are seen in New milford at 22.1% versus 20.4% in Aurora.
- Smoking is more prevalent in Aurora at 15.8% compared to 13.2% in New milford.
- Binge drinking is more common in Aurora at 17.7% compared to 17.1% in New milford.
- Obesity rates are higher in Aurora at 28.2% compared to 27.2% in New milford.
- Disability percentages are the same in both Aurora and New milford at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Aurora | New milford |
---|---|---|
No Schooling | 1.8% (7,109) | 0.0% (Data is updating) |
High School Diploma | 13.0% (51,046) | 21.6% (1,531) |
Less than High School | 14.8% (58,325) | 10.0% (710) |
Bachelor's Degree and Higher | 20.8% (81,674) | 23.4% (1,658) |
Education Levels Comparison: Aurora vs New milford
- A higher percentage of residents in Aurora have no formal schooling at 1.8% compared to 0.0% in New milford.
- In New milford, the rate of residents with high school diplomas is higher at 21.6% compared to 13.0% in Aurora.
- More residents in Aurora have less than a high school education at 14.8% compared to 10.0% in New milford.
- In New milford, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 20.8% in Aurora.
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.