Demographics details for South holland, IL vs Pomona, CA
Population Overview
Compare main population characteristics in South holland, IL vs Pomona, CA.
Data | South holland | Pomona |
---|---|---|
Population | 20,685 | 146,017 |
Median Age | 42.6 years | 34.4 years |
Median Income | $79,567 | $73,515 |
Married Families | 34.0% | 33.0% |
Poverty Level | 10% | 19% |
Unemployment Rate | 5.2 | 6.5 |
Population Comparison: South holland vs Pomona
- The population in Pomona is higher at 146,017, compared to 20,685 in South holland.
- Residents in South holland have a higher median age of 42.6 years compared to 34.4 years in Pomona.
- South holland has a higher median income of $79,567 compared to $73,515 in Pomona.
- A higher percentage of married families is found in South holland at 34.0% compared to 33.0% in Pomona.
- The poverty level is higher in Pomona at 19%, compared to 10% in South holland.
- Pomona has a higher unemployment rate at 6.5% compared to 5.2% in South holland.
Demographics
Demographics South holland vs Pomona provide insight into the diversity of the communities to compare.
Demographic | South holland | Pomona |
---|---|---|
Black | 83 | 5 |
White | 8 | -10 |
Asian | 1 | 11 |
Hispanic | 5 | 74 |
Two or More Races | 3 | 18 |
American Indian | Data is updating | 2 |
Demographics Comparison: South holland vs Pomona
- A higher percentage of Black residents are in South holland at 83% compared to 5% in Pomona.
- South holland has a higher percentage of White residents at 8% compared to -10% in Pomona.
- In Pomona, the Asian population stands at 11%, greater than 1% in South holland.
- Pomona has a higher percentage of Hispanic residents at 74%, compared to 5% in South holland.
- The percentage of residents identifying as two or more races is higher in Pomona at 18%, compared to 3% in South holland.
- In Pomona, the percentage of American Indian residents is higher at 2%, compared to 0% in South holland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South holland | Pomona |
---|---|---|
Mental Health Not Good | 14.8% | 16.4% |
Physical Health Not Good | 10.9% | 13.3% |
Depression | 15.1% | 16.0% |
Smoking | 15.3% | 12.6% |
Binge Drinking | 15.6% | 14.4% |
Obesity | 37.3% | 31.8% |
Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: South holland vs Pomona
- In Pomona, a higher percentage report poor mental health at 16.4% compared to 14.8% in South holland.
- Higher depression rates are seen in Pomona at 16.0% versus 15.1% in South holland.
- Smoking is more prevalent in South holland at 15.3% compared to 12.6% in Pomona.
- Binge drinking is more common in South holland at 15.6% compared to 14.4% in Pomona.
- Obesity rates are higher in South holland at 37.3% compared to 31.8% in Pomona.
- Disability percentages are higher in South holland at 13.0% 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 | South holland | Pomona |
---|---|---|
No Schooling | 0.5% (94) | 3.2% (4,701) |
High School Diploma | 15.5% (3,210) | 15.0% (21,877) |
Less than High School | 7.8% (1,623) | 34.5% (50,432) |
Bachelor's Degree and Higher | 20.0% (4,142) | 11.9% (17,319) |
Education Levels Comparison: South holland vs Pomona
- In Pomona, a larger percentage of residents lack formal schooling at 3.2% compared to 0.5% in South holland.
- A higher percentage of residents in South holland hold a high school diploma at 15.5% 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 7.8% in South holland.
- A higher percentage of residents in South holland hold a bachelor's degree or higher at 20.0% 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.