Demographics details for Dayton, OH vs Rancho cucamonga, CA
Population Overview
Compare main population characteristics in Dayton, OH vs Rancho cucamonga, CA.
Data | Dayton | Rancho cucamonga |
---|---|---|
Population | 135,944 | 176,336 |
Median Age | 34.0 years | 37.5 years |
Median Income | $41,443 | $105,534 |
Married Families | 21.0% | 42.0% |
Poverty Level | 18% | 11% |
Unemployment Rate | 6.8 | 3.8 |
Population Comparison: Dayton vs Rancho cucamonga
- The population in Rancho cucamonga is higher at 176,336, compared to 135,944 in Dayton.
- The median age in Rancho cucamonga is higher at 37.5 years, compared to 34.0 years in Dayton.
- Rancho cucamonga has a higher median income of $105,534, compared to $41,443 in Dayton.
- In Rancho cucamonga, the percentage of married families is higher at 42.0%, compared to 21.0% in Dayton.
- Dayton has a higher poverty level at 18% compared to 11% in Rancho cucamonga.
- The unemployment rate in Dayton is higher at 6.8%, compared to 3.8% in Rancho cucamonga.
Demographics
Demographics Dayton vs Rancho cucamonga provide insight into the diversity of the communities to compare.
Demographic | Dayton | Rancho cucamonga |
---|---|---|
Black | 38 | 9 |
White | 50 | 22 |
Asian | 1 | 14 |
Hispanic | 5 | 39 |
Two or More Races | 6 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Dayton vs Rancho cucamonga
- A higher percentage of Black residents are in Dayton at 38% compared to 9% in Rancho cucamonga.
- Dayton has a higher percentage of White residents at 50% compared to 22% in Rancho cucamonga.
- In Rancho cucamonga, the Asian population stands at 14%, greater than 1% in Dayton.
- Rancho cucamonga has a higher percentage of Hispanic residents at 39%, compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Rancho cucamonga at 15%, compared to 6% in Dayton.
- In Rancho cucamonga, the percentage of American Indian residents is higher at 1%, compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dayton | Rancho cucamonga |
---|---|---|
Mental Health Not Good | 21.9% | 14.8% |
Physical Health Not Good | 16.5% | 9.8% |
Depression | 26.5% | 17.2% |
Smoking | 26.0% | 10.0% |
Binge Drinking | 15.2% | 16.6% |
Obesity | 47.6% | 33.9% |
Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Dayton vs Rancho cucamonga
- More residents in Dayton report poor mental health at 21.9% compared to 14.8% in Rancho cucamonga.
- Depression is more prevalent in Dayton at 26.5% compared to 17.2% in Rancho cucamonga.
- Smoking is more prevalent in Dayton at 26.0% compared to 10.0% in Rancho cucamonga.
- More residents engage in binge drinking in Rancho cucamonga at 16.6% compared to 15.2% in Dayton.
- Obesity rates are higher in Dayton at 47.6% compared to 33.9% in Rancho cucamonga.
- Disability percentages are higher in Dayton at 18.0% compared to 9.0% in Rancho cucamonga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dayton | Rancho cucamonga |
---|---|---|
No Schooling | 0.9% (1,157) | 1.2% (2,052) |
High School Diploma | 16.3% (22,101) | 11.7% (20,590) |
Less than High School | 13.9% (18,900) | 10.0% (17,566) |
Bachelor's Degree and Higher | 12.7% (17,260) | 25.3% (44,534) |
Education Levels Comparison: Dayton vs Rancho cucamonga
- In Rancho cucamonga, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Dayton.
- A higher percentage of residents in Dayton hold a high school diploma at 16.3% compared to 11.7% in Rancho cucamonga.
- More residents in Dayton have less than a high school education at 13.9% compared to 10.0% in Rancho cucamonga.
- In Rancho cucamonga, a larger share of residents have a bachelor's degree or higher at 25.3% compared to 12.7% in Dayton.
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.