Demographics details for Ormond beach, FL vs Pomona, CA
Population Overview
Compare main population characteristics in Ormond beach, FL vs Pomona, CA.
Data | Ormond beach | Pomona |
---|---|---|
Population | 44,052 | 146,017 |
Median Age | 51.9 years | 34.4 years |
Median Income | $65,238 | $73,515 |
Married Families | 42.0% | 33.0% |
Poverty Level | 9% | 19% |
Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Ormond beach vs Pomona
- The population in Pomona is higher at 146,017, compared to 44,052 in Ormond beach.
- Residents in Ormond beach have a higher median age of 51.9 years compared to 34.4 years in Pomona.
- Pomona has a higher median income of $73,515, compared to $65,238 in Ormond beach.
- A higher percentage of married families is found in Ormond beach at 42.0% compared to 33.0% in Pomona.
- The poverty level is higher in Pomona at 19%, compared to 9% in Ormond beach.
- Pomona has a higher unemployment rate at 6.5% compared to 3.5% in Ormond beach.
Demographics
Demographics Ormond beach vs Pomona provide insight into the diversity of the communities to compare.
Demographic | Ormond beach | Pomona |
---|---|---|
Black | 6 | 5 |
White | 80 | -10 |
Asian | 3 | 11 |
Hispanic | 7 | 74 |
Two or More Races | 4 | 18 |
American Indian | Data is updating | 2 |
Demographics Comparison: Ormond beach vs Pomona
- A higher percentage of Black residents are in Ormond beach at 6% compared to 5% in Pomona.
- Ormond beach has a higher percentage of White residents at 80% compared to -10% in Pomona.
- In Pomona, the Asian population stands at 11%, greater than 3% in Ormond beach.
- Pomona has a higher percentage of Hispanic residents at 74%, compared to 7% in Ormond beach.
- The percentage of residents identifying as two or more races is higher in Pomona at 18%, compared to 4% in Ormond beach.
- In Pomona, the percentage of American Indian residents is higher at 2%, compared to 0% in Ormond beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ormond beach | Pomona |
---|---|---|
Mental Health Not Good | 16.1% | 16.4% |
Physical Health Not Good | 10.1% | 13.3% |
Depression | 21.1% | 16.0% |
Smoking | 19.2% | 12.6% |
Binge Drinking | 18.8% | 14.4% |
Obesity | 30.8% | 31.8% |
Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Ormond beach vs Pomona
- In Pomona, a higher percentage report poor mental health at 16.4% compared to 16.1% in Ormond beach.
- Depression is more prevalent in Ormond beach at 21.1% compared to 16.0% in Pomona.
- Smoking is more prevalent in Ormond beach at 19.2% compared to 12.6% in Pomona.
- Binge drinking is more common in Ormond beach at 18.8% compared to 14.4% in Pomona.
- Pomona has higher obesity rates at 31.8% compared to 30.8% in Ormond beach.
- Disability percentages are higher in Ormond beach at 15.0% compared to 11.0% in Pomona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ormond beach | Pomona |
---|---|---|
No Schooling | 0.4% (173) | 3.2% (4,701) |
High School Diploma | 16.1% (7,098) | 15.0% (21,877) |
Less than High School | 8.9% (3,901) | 34.5% (50,432) |
Bachelor's Degree and Higher | 26.5% (11,653) | 11.9% (17,319) |
Education Levels Comparison: Ormond beach vs Pomona
- In Pomona, a larger percentage of residents lack formal schooling at 3.2% compared to 0.4% in Ormond beach.
- A higher percentage of residents in Ormond beach hold a high school diploma at 16.1% compared to 15.0% in Pomona.
- The percentage of residents with less than a high school education is higher in Pomona at 34.5%, compared to 8.9% in Ormond beach.
- A higher percentage of residents in Ormond beach hold a bachelor's degree or higher at 26.5% compared to 11.9% in Pomona.
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.