Demographics details for Paterson, NJ vs Holdenville, OK
Population Overview
Compare main population characteristics in Paterson, NJ vs Holdenville, OK.
Data | Paterson | Holdenville |
---|---|---|
Population | 156,661 | 5,916 |
Median Age | 33.1 years | 36.1 years |
Median Income | $52,092 | $38,232 |
Married Families | 27.0% | 22.0% |
Poverty Level | 18% | 20% |
Unemployment Rate | 8.8 | 4.5 |
Population Comparison: Paterson vs Holdenville
- In Paterson, the population is higher at 156,661, compared to 5,916 in Holdenville.
- The median age in Holdenville is higher at 36.1 years, compared to 33.1 years in Paterson.
- Paterson has a higher median income of $52,092 compared to $38,232 in Holdenville.
- A higher percentage of married families is found in Paterson at 27.0% compared to 22.0% in Holdenville.
- The poverty level is higher in Holdenville at 20%, compared to 18% in Paterson.
- The unemployment rate in Paterson is higher at 8.8%, compared to 4.5% in Holdenville.
Demographics
Demographics Paterson vs Holdenville provide insight into the diversity of the communities to compare.
Demographic | Paterson | Holdenville |
---|---|---|
Black | 25 | 7 |
White | Data is updating | 55 |
Asian | 5 | 1 |
Hispanic | 64 | 9 |
Two or More Races | 17 | 8 |
American Indian | Data is updating | 20 |
Demographics Comparison: Paterson vs Holdenville
- A higher percentage of Black residents are in Paterson at 25% compared to 7% in Holdenville.
- The percentage of White residents is higher in Holdenville at 55% compared to 0% in Paterson.
- The Asian population is larger in Paterson at 5% compared to 1% in Holdenville.
- The Hispanic community is larger in Paterson at 64% compared to 9% in Holdenville.
- More residents identify as two or more races in Paterson at 17% compared to 8% in Holdenville.
- In Holdenville, the percentage of American Indian residents is higher at 20%, compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Paterson | Holdenville |
---|---|---|
Mental Health Not Good | 17.5% | 20.6% |
Physical Health Not Good | 15.1% | 16.2% |
Depression | 16.5% | 24.6% |
Smoking | 17.7% | 27.5% |
Binge Drinking | 13.9% | 14.4% |
Obesity | 38.0% | 43.3% |
Disability Percentage | 7.0% | 11.0% |
Health Statistics Comparison: Paterson vs Holdenville
- In Holdenville, a higher percentage report poor mental health at 20.6% compared to 17.5% in Paterson.
- Higher depression rates are seen in Holdenville at 24.6% versus 16.5% in Paterson.
- Holdenville has a higher smoking rate at 27.5% compared to 17.7% in Paterson.
- More residents engage in binge drinking in Holdenville at 14.4% compared to 13.9% in Paterson.
- Holdenville has higher obesity rates at 43.3% compared to 38.0% in Paterson.
- There is a higher percentage of disabled individuals in Holdenville at 11.0% compared to 7.0% in Paterson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Paterson | Holdenville |
---|---|---|
No Schooling | 2.1% (3,278) | 1.1% (67) |
High School Diploma | 25.1% (39,354) | 23.1% (1,369) |
Less than High School | 26.1% (40,961) | 24.9% (1,471) |
Bachelor's Degree and Higher | 7.9% (12,450) | 7.0% (415) |
Education Levels Comparison: Paterson vs Holdenville
- A higher percentage of residents in Paterson have no formal schooling at 2.1% compared to 1.1% in Holdenville.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 23.1% in Holdenville.
- More residents in Paterson have less than a high school education at 26.1% compared to 24.9% in Holdenville.
- A higher percentage of residents in Paterson hold a bachelor's degree or higher at 7.9% compared to 7.0% in Holdenville.
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.