Demographics details for Maple valley, WA vs Danbury, CT
Population Overview
Compare main population characteristics in Maple valley, WA vs Danbury, CT.
Data | Maple valley | Danbury |
---|---|---|
Population | 28,220 | 86,967 |
Median Age | 36.4 years | 38.6 years |
Median Income | $137,595 | $79,983 |
Married Families | 47.0% | 38.0% |
Poverty Level | Data is updating | 9% |
Unemployment Rate | 4.7 | 2.4 |
Population Comparison: Maple valley vs Danbury
- The population in Danbury is higher at 86,967, compared to 28,220 in Maple valley.
- The median age in Danbury is higher at 38.6 years, compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595 compared to $79,983 in Danbury.
- A higher percentage of married families is found in Maple valley at 47.0% compared to 38.0% in Danbury.
- The poverty level is higher in Danbury at 9%, compared to 0% in Maple valley.
- The unemployment rate in Maple valley is higher at 4.7%, compared to 2.4% in Danbury.
Demographics
Demographics Maple valley vs Danbury provide insight into the diversity of the communities to compare.
Demographic | Maple valley | Danbury |
---|---|---|
Black | 2 | 13 |
White | 74 | 38 |
Asian | 11 | 5 |
Hispanic | 5 | 32 |
Two or More Races | 8 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Maple valley vs Danbury
- In Danbury, the percentage of Black residents is higher at 13% compared to 2% in Maple valley.
- Maple valley has a higher percentage of White residents at 74% compared to 38% in Danbury.
- The Asian population is larger in Maple valley at 11% compared to 5% in Danbury.
- Danbury has a higher percentage of Hispanic residents at 32%, compared to 5% in Maple valley.
- The percentage of residents identifying as two or more races is higher in Danbury at 12%, compared to 8% in Maple valley.
- The percentage of American Indian residents is the same in both Maple valley and Danbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Maple valley | Danbury |
---|---|---|
Mental Health Not Good | 15.9% | 15.1% |
Physical Health Not Good | 8.6% | 10.3% |
Depression | 25.8% | 18.8% |
Smoking | 9.4% | 14.2% |
Binge Drinking | 19.6% | 16.2% |
Obesity | 24.3% | 26.0% |
Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Maple valley vs Danbury
- More residents in Maple valley report poor mental health at 15.9% compared to 15.1% in Danbury.
- Depression is more prevalent in Maple valley at 25.8% compared to 18.8% in Danbury.
- Danbury has a higher smoking rate at 14.2% compared to 9.4% in Maple valley.
- Binge drinking is more common in Maple valley at 19.6% compared to 16.2% in Danbury.
- Danbury has higher obesity rates at 26.0% compared to 24.3% in Maple valley.
- There is a higher percentage of disabled individuals in Danbury at 10.0% compared to 7.0% in Maple valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Maple valley | Danbury |
---|---|---|
No Schooling | 0.4% (103) | 2.0% (1,713) |
High School Diploma | 10.2% (2,878) | 15.7% (13,686) |
Less than High School | 3.1% (879) | 19.6% (17,043) |
Bachelor's Degree and Higher | 28.5% (8,032) | 23.0% (19,982) |
Education Levels Comparison: Maple valley vs Danbury
- In Danbury, a larger percentage of residents lack formal schooling at 2.0% compared to 0.4% in Maple valley.
- In Danbury, the rate of residents with high school diplomas is higher at 15.7% compared to 10.2% in Maple valley.
- The percentage of residents with less than a high school education is higher in Danbury at 19.6%, compared to 3.1% in Maple valley.
- A higher percentage of residents in Maple valley hold a bachelor's degree or higher at 28.5% compared to 23.0% in Danbury.
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.