Demographics details for Cross plains, TX vs Norman, OK
Population Overview
Compare main population characteristics in Cross plains, TX vs Norman, OK.
Data | Cross plains | Norman |
---|---|---|
Population | 926 | 129,627 |
Median Age | 28.3 years | 31.0 years |
Median Income | $48,516 | $62,849 |
Married Families | 47.0% | 35.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Cross plains vs Norman
- The population in Norman is higher at 129,627, compared to 926 in Cross plains.
- The median age in Norman is higher at 31.0 years, compared to 28.3 years in Cross plains.
- Norman has a higher median income of $62,849, compared to $48,516 in Cross plains.
- A higher percentage of married families is found in Cross plains at 47.0% compared to 35.0% in Norman.
- Cross plains has a higher poverty level at 13% compared to 12% in Norman.
- The unemployment rate in Cross plains is higher at 4.2%, compared to 3.5% in Norman.
Demographics
Demographics Cross plains vs Norman provide insight into the diversity of the communities to compare.
Demographic | Cross plains | Norman |
---|---|---|
Black | Data is updating | 5 |
White | 90 | 67 |
Asian | Data is updating | 5 |
Hispanic | 6 | 8 |
Two or More Races | 4 | 11 |
American Indian | Data is updating | 4 |
Demographics Comparison: Cross plains vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 0% in Cross plains.
- Cross plains has a higher percentage of White residents at 90% compared to 67% in Norman.
- In Norman, the Asian population stands at 5%, greater than 0% in Cross plains.
- Norman has a higher percentage of Hispanic residents at 8%, compared to 6% in Cross plains.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 4% in Cross plains.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Cross plains.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cross plains | Norman |
---|---|---|
Mental Health Not Good | 18.3% | 17.0% |
Physical Health Not Good | 11.8% | 11.2% |
Depression | 25.7% | 25.6% |
Smoking | 18.1% | 16.7% |
Binge Drinking | 19.6% | 15.5% |
Obesity | 36.1% | 34.9% |
Disability Percentage | 32.0% | 13.0% |
Health Statistics Comparison: Cross plains vs Norman
- More residents in Cross plains report poor mental health at 18.3% compared to 17.0% in Norman.
- Depression is more prevalent in Cross plains at 25.7% compared to 25.6% in Norman.
- Smoking is more prevalent in Cross plains at 18.1% compared to 16.7% in Norman.
- Binge drinking is more common in Cross plains at 19.6% compared to 15.5% in Norman.
- Obesity rates are higher in Cross plains at 36.1% compared to 34.9% in Norman.
- Disability percentages are higher in Cross plains at 32.0% 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 | Cross plains | Norman |
---|---|---|
No Schooling | 0.1% (1) | 0.3% (396) |
High School Diploma | 19.3% (179) | 9.4% (12,171) |
Less than High School | 6.0% (56) | 6.3% (8,174) |
Bachelor's Degree and Higher | 9.2% (85) | 26.3% (34,072) |
Education Levels Comparison: Cross plains vs Norman
- In Norman, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Cross plains.
- A higher percentage of residents in Cross plains hold a high school diploma at 19.3% compared to 9.4% in Norman.
- The percentage of residents with less than a high school education is higher in Norman at 6.3%, compared to 6.0% in Cross plains.
- In Norman, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 9.2% in Cross plains.
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.