Demographics details for Helper, UT vs Norman, OK
Population Overview
Compare main population characteristics in Helper, UT vs Norman, OK.
| Data | Helper | Norman |
|---|---|---|
| Population | 2,131 | 129,627 |
| Median Age | 43.2 years | 31.0 years |
| Median Income | $59,323 | $62,849 |
| Married Families | 61.0% | 35.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Helper vs Norman
- The population in Norman is higher at 129,627, compared to 2,131 in Helper.
- Residents in Helper have a higher median age of 43.2 years compared to 31.0 years in Norman.
- Norman has a higher median income of $62,849, compared to $59,323 in Helper.
- A higher percentage of married families is found in Helper at 61.0% compared to 35.0% in Norman.
- The poverty level is higher in Norman at 12%, compared to 11% in Helper.
- Norman has a higher unemployment rate at 3.5% compared to 2.5% in Helper.
Demographics
Demographics Helper vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Helper | Norman |
|---|---|---|
| Black | Data is updating | 5 |
| White | 85 | 67 |
| Asian | Data is updating | 5 |
| Hispanic | 10 | 8 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Helper vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 0% in Helper.
- Helper has a higher percentage of White residents at 85% compared to 67% in Norman.
- In Norman, the Asian population stands at 5%, greater than 0% in Helper.
- The Hispanic community is larger in Helper at 10% compared to 8% in Norman.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 5% in Helper.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Helper.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helper | Norman |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.0% |
| Physical Health Not Good | 11.4% | 11.2% |
| Depression | 25.3% | 25.6% |
| Smoking | 11.5% | 16.7% |
| Binge Drinking | 14.2% | 15.5% |
| Obesity | 36.9% | 34.9% |
| Disability Percentage | 26.0% | 13.0% |
Health Statistics Comparison: Helper vs Norman
- More residents in Helper report poor mental health at 17.1% compared to 17.0% in Norman.
- Higher depression rates are seen in Norman at 25.6% versus 25.3% in Helper.
- Norman has a higher smoking rate at 16.7% compared to 11.5% in Helper.
- More residents engage in binge drinking in Norman at 15.5% compared to 14.2% in Helper.
- Obesity rates are higher in Helper at 36.9% compared to 34.9% in Norman.
- Disability percentages are higher in Helper at 26.0% compared to 13.0% in Norman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helper | Norman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (396) |
| High School Diploma | 23.4% (499) | 9.4% (12,171) |
| Less than High School | 8.7% (185) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 18.7% (399) | 26.3% (34,072) |
Education Levels Comparison: Helper vs Norman
- In Norman, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Helper.
- A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 9.4% in Norman.
- More residents in Helper have less than a high school education at 8.7% compared to 6.3% in Norman.
- In Norman, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 18.7% in Helper.
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.