Demographics details for Norman, OK vs North baltimore, OH
Population Overview
Compare main population characteristics in Norman, OK vs North baltimore, OH.
Data | Norman | North baltimore |
---|---|---|
Population | 129,627 | 3,383 |
Median Age | 31.0 years | 37.4 years |
Median Income | $62,849 | $55,379 |
Married Families | 35.0% | 31.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Norman vs North baltimore
- In Norman, the population is higher at 129,627, compared to 3,383 in North baltimore.
- The median age in North baltimore is higher at 37.4 years, compared to 31.0 years in Norman.
- Norman has a higher median income of $62,849 compared to $55,379 in North baltimore.
- A higher percentage of married families is found in Norman at 35.0% compared to 31.0% in North baltimore.
- Norman has a higher poverty level at 12% compared to 8% in North baltimore.
- North baltimore has a higher unemployment rate at 4.1% compared to 3.5% in Norman.
Demographics
Demographics Norman vs North baltimore provide insight into the diversity of the communities to compare.
Demographic | Norman | North baltimore |
---|---|---|
Black | 5 | 4 |
White | 67 | 89 |
Asian | 5 | Data is updating |
Hispanic | 8 | 5 |
Two or More Races | 11 | 2 |
American Indian | 4 | Data is updating |
Demographics Comparison: Norman vs North baltimore
- A higher percentage of Black residents are in Norman at 5% compared to 4% in North baltimore.
- The percentage of White residents is higher in North baltimore at 89% compared to 67% in Norman.
- The Asian population is larger in Norman at 5% compared to 0% in North baltimore.
- The Hispanic community is larger in Norman at 8% compared to 5% in North baltimore.
- More residents identify as two or more races in Norman at 11% compared to 2% in North baltimore.
- A greater percentage of American Indian residents live in Norman at 4% compared to 0% in North baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norman | North baltimore |
---|---|---|
Mental Health Not Good | 17.0% | 18.7% |
Physical Health Not Good | 11.2% | 12.5% |
Depression | 25.6% | 26.1% |
Smoking | 16.7% | 21.8% |
Binge Drinking | 15.5% | 17.7% |
Obesity | 34.9% | 42.6% |
Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Norman vs North baltimore
- In North baltimore, a higher percentage report poor mental health at 18.7% compared to 17.0% in Norman.
- Higher depression rates are seen in North baltimore at 26.1% versus 25.6% in Norman.
- North baltimore has a higher smoking rate at 21.8% compared to 16.7% in Norman.
- More residents engage in binge drinking in North baltimore at 17.7% compared to 15.5% in Norman.
- North baltimore has higher obesity rates at 42.6% compared to 34.9% in Norman.
- There is a higher percentage of disabled individuals in North baltimore at 18.0% 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 | Norman | North baltimore |
---|---|---|
No Schooling | 0.3% (396) | 1.9% (63) |
High School Diploma | 9.4% (12,171) | 28.7% (971) |
Less than High School | 6.3% (8,174) | 15.8% (533) |
Bachelor's Degree and Higher | 26.3% (34,072) | 7.5% (254) |
Education Levels Comparison: Norman vs North baltimore
- In North baltimore, a larger percentage of residents lack formal schooling at 1.9% compared to 0.3% in Norman.
- In North baltimore, the rate of residents with high school diplomas is higher at 28.7% compared to 9.4% in Norman.
- The percentage of residents with less than a high school education is higher in North baltimore at 15.8%, compared to 6.3% in Norman.
- A higher percentage of residents in Norman hold a bachelor's degree or higher at 26.3% compared to 7.5% in North baltimore.
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.