Demographics details for Danbury, CT vs Mcminnville, OR
Population Overview
Compare main population characteristics in Danbury, CT vs Mcminnville, OR.
Data | Danbury | Mcminnville |
---|---|---|
Population | 86,967 | 34,530 |
Median Age | 38.6 years | 40.1 years |
Median Income | $79,983 | $65,318 |
Married Families | 38.0% | 35.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 2.4 | 3.9 |
Population Comparison: Danbury vs Mcminnville
- In Danbury, the population is higher at 86,967, compared to 34,530 in Mcminnville.
- The median age in Mcminnville is higher at 40.1 years, compared to 38.6 years in Danbury.
- Danbury has a higher median income of $79,983 compared to $65,318 in Mcminnville.
- A higher percentage of married families is found in Danbury at 38.0% compared to 35.0% in Mcminnville.
- The poverty level is higher in Mcminnville at 10%, compared to 9% in Danbury.
- Mcminnville has a higher unemployment rate at 3.9% compared to 2.4% in Danbury.
Demographics
Demographics Danbury vs Mcminnville provide insight into the diversity of the communities to compare.
Demographic | Danbury | Mcminnville |
---|---|---|
Black | 13 | Data is updating |
White | 38 | 67 |
Asian | 5 | 2 |
Hispanic | 32 | 18 |
Two or More Races | 12 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Danbury vs Mcminnville
- A higher percentage of Black residents are in Danbury at 13% compared to 0% in Mcminnville.
- The percentage of White residents is higher in Mcminnville at 67% compared to 38% in Danbury.
- The Asian population is larger in Danbury at 5% compared to 2% in Mcminnville.
- The Hispanic community is larger in Danbury at 32% compared to 18% in Mcminnville.
- Both Danbury and Mcminnville have the same percentage of residents identifying as two or more races at 12%.
- In Mcminnville, the percentage of American Indian residents is higher at 1%, compared to 0% in Danbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danbury | Mcminnville |
---|---|---|
Mental Health Not Good | 15.1% | 18.3% |
Physical Health Not Good | 10.3% | 11.6% |
Depression | 18.8% | 27.2% |
Smoking | 14.2% | 15.6% |
Binge Drinking | 16.2% | 17.6% |
Obesity | 26.0% | 35.1% |
Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Danbury vs Mcminnville
- In Mcminnville, a higher percentage report poor mental health at 18.3% compared to 15.1% in Danbury.
- Higher depression rates are seen in Mcminnville at 27.2% versus 18.8% in Danbury.
- Mcminnville has a higher smoking rate at 15.6% compared to 14.2% in Danbury.
- More residents engage in binge drinking in Mcminnville at 17.6% compared to 16.2% in Danbury.
- Mcminnville has higher obesity rates at 35.1% compared to 26.0% in Danbury.
- There is a higher percentage of disabled individuals in Mcminnville at 17.0% compared to 10.0% in Danbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danbury | Mcminnville |
---|---|---|
No Schooling | 2.0% (1,713) | 1.4% (472) |
High School Diploma | 15.7% (13,686) | 11.9% (4,114) |
Less than High School | 19.6% (17,043) | 16.8% (5,808) |
Bachelor's Degree and Higher | 23.0% (19,982) | 17.7% (6,118) |
Education Levels Comparison: Danbury vs Mcminnville
- A higher percentage of residents in Danbury have no formal schooling at 2.0% compared to 1.4% in Mcminnville.
- A higher percentage of residents in Danbury hold a high school diploma at 15.7% compared to 11.9% in Mcminnville.
- More residents in Danbury have less than a high school education at 19.6% compared to 16.8% in Mcminnville.
- A higher percentage of residents in Danbury hold a bachelor's degree or higher at 23.0% compared to 17.7% in Mcminnville.
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.