Demographics details for What cheer, IA vs Pomona, CA
Population Overview
Compare main population characteristics in What cheer, IA vs Pomona, CA.
| Data | What cheer | Pomona |
|---|---|---|
| Population | 597 | 146,017 |
| Median Age | 34.8 years | 34.4 years |
| Median Income | $45,500 | $73,515 |
| Married Families | 45.0% | 33.0% |
| Poverty Level | 12% | 19% |
| Unemployment Rate | 3.9 | 6.5 |
Population Comparison: What cheer vs Pomona
- The population in Pomona is higher at 146,017, compared to 597 in What cheer.
- Residents in What cheer have a higher median age of 34.8 years compared to 34.4 years in Pomona.
- Pomona has a higher median income of $73,515, compared to $45,500 in What cheer.
- A higher percentage of married families is found in What cheer at 45.0% compared to 33.0% in Pomona.
- The poverty level is higher in Pomona at 19%, compared to 12% in What cheer.
- Pomona has a higher unemployment rate at 6.5% compared to 3.9% in What cheer.
Demographics
Demographics What cheer vs Pomona provide insight into the diversity of the communities to compare.
| Demographic | What cheer | Pomona |
|---|---|---|
| Black | 3 | 5 |
| White | 87 | -10 |
| Asian | Data is updating | 11 |
| Hispanic | 6 | 74 |
| Two or More Races | 4 | 18 |
| American Indian | Data is updating | 2 |
Demographics Comparison: What cheer vs Pomona
- In Pomona, the percentage of Black residents is higher at 5% compared to 3% in What cheer.
- What cheer has a higher percentage of White residents at 87% compared to -10% in Pomona.
- In Pomona, the Asian population stands at 11%, greater than 0% in What cheer.
- Pomona has a higher percentage of Hispanic residents at 74%, compared to 6% in What cheer.
- The percentage of residents identifying as two or more races is higher in Pomona at 18%, compared to 4% in What cheer.
- In Pomona, the percentage of American Indian residents is higher at 2%, compared to 0% in What cheer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | What cheer | Pomona |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.4% |
| Physical Health Not Good | 11.3% | 13.3% |
| Depression | 20.1% | 16.0% |
| Smoking | 21.2% | 12.6% |
| Binge Drinking | 21.0% | 14.4% |
| Obesity | 40.1% | 31.8% |
| Disability Percentage | 30.0% | 11.0% |
Health Statistics Comparison: What cheer vs Pomona
- More residents in What cheer report poor mental health at 17.0% compared to 16.4% in Pomona.
- Depression is more prevalent in What cheer at 20.1% compared to 16.0% in Pomona.
- Smoking is more prevalent in What cheer at 21.2% compared to 12.6% in Pomona.
- Binge drinking is more common in What cheer at 21.0% compared to 14.4% in Pomona.
- Obesity rates are higher in What cheer at 40.1% compared to 31.8% in Pomona.
- Disability percentages are higher in What cheer at 30.0% 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 | What cheer | Pomona |
|---|---|---|
| No Schooling | 1.5% (9) | 3.2% (4,701) |
| High School Diploma | 31.8% (190) | 15.0% (21,877) |
| Less than High School | 11.9% (71) | 34.5% (50,432) |
| Bachelor's Degree and Higher | 5.0% (30) | 11.9% (17,319) |
Education Levels Comparison: What cheer vs Pomona
- In Pomona, a larger percentage of residents lack formal schooling at 3.2% compared to 1.5% in What cheer.
- A higher percentage of residents in What cheer hold a high school diploma at 31.8% 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 11.9% in What cheer.
- In Pomona, a larger share of residents have a bachelor's degree or higher at 11.9% compared to 5.0% in What cheer.
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.