Demographics details for Kearny, NJ vs Purcell, OK
Population Overview
Compare main population characteristics in Kearny, NJ vs Purcell, OK.
Data | Kearny | Purcell |
---|---|---|
Population | 39,862 | 6,762 |
Median Age | 39.1 years | 34.7 years |
Median Income | $81,307 | $68,295 |
Married Families | 41.0% | 37.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 5.2 | 3.6 |
Population Comparison: Kearny vs Purcell
- In Kearny, the population is higher at 39,862, compared to 6,762 in Purcell.
- Residents in Kearny have a higher median age of 39.1 years compared to 34.7 years in Purcell.
- Kearny has a higher median income of $81,307 compared to $68,295 in Purcell.
- A higher percentage of married families is found in Kearny at 41.0% compared to 37.0% in Purcell.
- The poverty level is higher in Purcell at 12%, compared to 11% in Kearny.
- The unemployment rate in Kearny is higher at 5.2%, compared to 3.6% in Purcell.
Demographics
Demographics Kearny vs Purcell provide insight into the diversity of the communities to compare.
Demographic | Kearny | Purcell |
---|---|---|
Black | 5 | 1 |
White | 15 | 67 |
Asian | 4 | Data is updating |
Hispanic | 56 | 16 |
Two or More Races | 20 | 13 |
American Indian | Data is updating | 3 |
Demographics Comparison: Kearny vs Purcell
- A higher percentage of Black residents are in Kearny at 5% compared to 1% in Purcell.
- The percentage of White residents is higher in Purcell at 67% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 0% in Purcell.
- The Hispanic community is larger in Kearny at 56% compared to 16% in Purcell.
- More residents identify as two or more races in Kearny at 20% compared to 13% in Purcell.
- In Purcell, the percentage of American Indian residents is higher at 3%, compared to 0% in Kearny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kearny | Purcell |
---|---|---|
Mental Health Not Good | 15.0% | 18.6% |
Physical Health Not Good | 11.5% | 13.5% |
Depression | 19.3% | 25.3% |
Smoking | 14.6% | 21.0% |
Binge Drinking | 17.0% | 14.4% |
Obesity | 26.4% | 42.7% |
Disability Percentage | 8.0% | 15.0% |
Health Statistics Comparison: Kearny vs Purcell
- In Purcell, a higher percentage report poor mental health at 18.6% compared to 15.0% in Kearny.
- Higher depression rates are seen in Purcell at 25.3% versus 19.3% in Kearny.
- Purcell has a higher smoking rate at 21.0% compared to 14.6% in Kearny.
- Binge drinking is more common in Kearny at 17.0% compared to 14.4% in Purcell.
- Purcell has higher obesity rates at 42.7% compared to 26.4% in Kearny.
- There is a higher percentage of disabled individuals in Purcell at 15.0% compared to 8.0% in Kearny.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kearny | Purcell |
---|---|---|
No Schooling | 2.3% (899) | 0.4% (29) |
High School Diploma | 21.9% (8,719) | 20.2% (1,367) |
Less than High School | 22.3% (8,901) | 26.2% (1,775) |
Bachelor's Degree and Higher | 21.1% (8,419) | 12.1% (821) |
Education Levels Comparison: Kearny vs Purcell
- A higher percentage of residents in Kearny have no formal schooling at 2.3% compared to 0.4% in Purcell.
- A higher percentage of residents in Kearny hold a high school diploma at 21.9% compared to 20.2% in Purcell.
- The percentage of residents with less than a high school education is higher in Purcell at 26.2%, compared to 22.3% in Kearny.
- A higher percentage of residents in Kearny hold a bachelor's degree or higher at 21.1% compared to 12.1% in Purcell.
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.