Demographics details for Kendall park, NJ vs Bertha, MN
Population Overview
Compare main population characteristics in Kendall park, NJ vs Bertha, MN.
Data | Kendall park | Bertha |
---|---|---|
Population | 10,624 | 554 |
Median Age | 44.5 years | 40.1 years |
Median Income | $159,362 | $51,094 |
Married Families | 50.0% | 29.0% |
Poverty Level | 2% | Data is updating |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Kendall park vs Bertha
- In Kendall park, the population is higher at 10,624, compared to 554 in Bertha.
- Residents in Kendall park have a higher median age of 44.5 years compared to 40.1 years in Bertha.
- Kendall park has a higher median income of $159,362 compared to $51,094 in Bertha.
- A higher percentage of married families is found in Kendall park at 50.0% compared to 29.0% in Bertha.
- Kendall park has a higher poverty level at 2% compared to 0% in Bertha.
- The unemployment rate in Kendall park is higher at 3.5%, compared to 3.2% in Bertha.
Demographics
Demographics Kendall park vs Bertha provide insight into the diversity of the communities to compare.
Demographic | Kendall park | Bertha |
---|---|---|
Black | 3 | Data is updating |
White | 46 | 95 |
Asian | 31 | Data is updating |
Hispanic | 14 | 1 |
Two or More Races | 6 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kendall park vs Bertha
- A higher percentage of Black residents are in Kendall park at 3% compared to 0% in Bertha.
- The percentage of White residents is higher in Bertha at 95% compared to 46% in Kendall park.
- The Asian population is larger in Kendall park at 31% compared to 0% in Bertha.
- The Hispanic community is larger in Kendall park at 14% compared to 1% in Bertha.
- More residents identify as two or more races in Kendall park at 6% compared to 4% in Bertha.
- The percentage of American Indian residents is the same in both Kendall park and Bertha at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kendall park | Bertha |
---|---|---|
Mental Health Not Good | 12.5% | 17.1% |
Physical Health Not Good | 7.2% | 10.8% |
Depression | 17.6% | 25.8% |
Smoking | 8.6% | 21.2% |
Binge Drinking | 15.0% | 19.8% |
Obesity | 25.1% | 39.4% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Kendall park vs Bertha
- In Bertha, a higher percentage report poor mental health at 17.1% compared to 12.5% in Kendall park.
- Higher depression rates are seen in Bertha at 25.8% versus 17.6% in Kendall park.
- Bertha has a higher smoking rate at 21.2% compared to 8.6% in Kendall park.
- More residents engage in binge drinking in Bertha at 19.8% compared to 15.0% in Kendall park.
- Bertha has higher obesity rates at 39.4% compared to 25.1% in Kendall park.
- There is a higher percentage of disabled individuals in Bertha at 20.0% compared to 12.0% in Kendall park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kendall park | Bertha |
---|---|---|
No Schooling | 0.2% (25) | 0.0% (Data is updating) |
High School Diploma | 11.8% (1,256) | 14.8% (82) |
Less than High School | 9.3% (992) | 14.3% (79) |
Bachelor's Degree and Higher | 38.1% (4,052) | 10.6% (59) |
Education Levels Comparison: Kendall park vs Bertha
- A higher percentage of residents in Kendall park have no formal schooling at 0.2% compared to 0.0% in Bertha.
- In Bertha, the rate of residents with high school diplomas is higher at 14.8% compared to 11.8% in Kendall park.
- The percentage of residents with less than a high school education is higher in Bertha at 14.3%, compared to 9.3% in Kendall park.
- A higher percentage of residents in Kendall park hold a bachelor's degree or higher at 38.1% compared to 10.6% in Bertha.
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.