Demographics details for Deep river, CT vs Yuma, AZ
Population Overview
Compare main population characteristics in Deep river, CT vs Yuma, AZ.
Data | Deep river | Yuma |
---|---|---|
Population | 4,629 | 98,527 |
Median Age | 42.0 years | 32.0 years |
Median Income | $80,000 | $59,312 |
Married Families | 59.0% | 39.0% |
Poverty Level | 5% | 18% |
Unemployment Rate | 1.6 | 9.0 |
Population Comparison: Deep river vs Yuma
- The population in Yuma is higher at 98,527, compared to 4,629 in Deep river.
- Residents in Deep river have a higher median age of 42.0 years compared to 32.0 years in Yuma.
- Deep river has a higher median income of $80,000 compared to $59,312 in Yuma.
- A higher percentage of married families is found in Deep river at 59.0% compared to 39.0% in Yuma.
- The poverty level is higher in Yuma at 18%, compared to 5% in Deep river.
- Yuma has a higher unemployment rate at 9.0% compared to 1.6% in Deep river.
Demographics
Demographics Deep river vs Yuma provide insight into the diversity of the communities to compare.
Demographic | Deep river | Yuma |
---|---|---|
Black | 1 | 2 |
White | 95 | 13 |
Asian | 2 | 2 |
Hispanic | 1 | 61 |
Two or More Races | 1 | 21 |
American Indian | Data is updating | 1 |
Demographics Comparison: Deep river vs Yuma
- In Yuma, the percentage of Black residents is higher at 2% compared to 1% in Deep river.
- Deep river has a higher percentage of White residents at 95% compared to 13% in Yuma.
- Both Deep river and Yuma have the same percentage of Asian residents at 2%.
- Yuma has a higher percentage of Hispanic residents at 61%, compared to 1% in Deep river.
- The percentage of residents identifying as two or more races is higher in Yuma at 21%, compared to 1% in Deep river.
- In Yuma, the percentage of American Indian residents is higher at 1%, compared to 0% in Deep river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Deep river | Yuma |
---|---|---|
Mental Health Not Good | Data is updating% | 16.8% |
Physical Health Not Good | Data is updating% | 13.2% |
Depression | Data is updating% | 19.3% |
Smoking | Data is updating% | 16.2% |
Binge Drinking | Data is updating% | 17.6% |
Obesity | Data is updating% | 39.5% |
Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Deep river vs Yuma
- In Yuma, a higher percentage report poor mental health at 16.8% compared to 0.0% in Deep river.
- Higher depression rates are seen in Yuma at 19.3% versus 0.0% in Deep river.
- Yuma has a higher smoking rate at 16.2% compared to 0.0% in Deep river.
- More residents engage in binge drinking in Yuma at 17.6% compared to 0.0% in Deep river.
- Yuma has higher obesity rates at 39.5% compared to 0.0% in Deep river.
- There is a higher percentage of disabled individuals in Yuma at 12.0% compared to 0.0% in Deep river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Deep river | Yuma |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.7% (1,642) |
High School Diploma | 0.0% (Data is updating) | 13.2% (13,054) |
Less than High School | 0.0% (Data is updating) | 19.8% (19,520) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.3% (12,116) |
Education Levels Comparison: Deep river vs Yuma
- In Yuma, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Deep river.
- In Yuma, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Deep river.
- The percentage of residents with less than a high school education is higher in Yuma at 19.8%, compared to 0.0% in Deep river.
- In Yuma, a larger share of residents have a bachelor's degree or higher at 12.3% compared to 0.0% in Deep river.
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.