Demographics details for Wahpeton, ND vs Browns mills, NJ
Population Overview
Compare main population characteristics in Wahpeton, ND vs Browns mills, NJ.
Data | Wahpeton | Browns mills |
---|---|---|
Population | 8,014 | 10,060 |
Median Age | 34.0 years | 41.4 years |
Median Income | $51,417 | $70,826 |
Married Families | 30.0% | 33.0% |
Poverty Level | 11% | 6% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Wahpeton vs Browns mills
- The population in Browns mills is higher at 10,060, compared to 8,014 in Wahpeton.
- The median age in Browns mills is higher at 41.4 years, compared to 34.0 years in Wahpeton.
- Browns mills has a higher median income of $70,826, compared to $51,417 in Wahpeton.
- In Browns mills, the percentage of married families is higher at 33.0%, compared to 30.0% in Wahpeton.
- Wahpeton has a higher poverty level at 11% compared to 6% in Browns mills.
- Browns mills has a higher unemployment rate at 3.5% compared to 3.2% in Wahpeton.
Demographics
Demographics Wahpeton vs Browns mills provide insight into the diversity of the communities to compare.
Demographic | Wahpeton | Browns mills |
---|---|---|
Black | 2 | 12 |
White | 87 | 60 |
Asian | Data is updating | 5 |
Hispanic | 3 | 12 |
Two or More Races | 4 | 11 |
American Indian | 4 | Data is updating |
Demographics Comparison: Wahpeton vs Browns mills
- In Browns mills, the percentage of Black residents is higher at 12% compared to 2% in Wahpeton.
- Wahpeton has a higher percentage of White residents at 87% compared to 60% in Browns mills.
- In Browns mills, the Asian population stands at 5%, greater than 0% in Wahpeton.
- Browns mills has a higher percentage of Hispanic residents at 12%, compared to 3% in Wahpeton.
- The percentage of residents identifying as two or more races is higher in Browns mills at 11%, compared to 4% in Wahpeton.
- A greater percentage of American Indian residents live in Wahpeton at 4% compared to 0% in Browns mills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wahpeton | Browns mills |
---|---|---|
Mental Health Not Good | 14.7% | 17.1% |
Physical Health Not Good | 10.9% | 11.6% |
Depression | 21.0% | 22.4% |
Smoking | 18.5% | 18.4% |
Binge Drinking | 22.4% | 17.5% |
Obesity | 41.1% | 36.4% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Wahpeton vs Browns mills
- In Browns mills, a higher percentage report poor mental health at 17.1% compared to 14.7% in Wahpeton.
- Higher depression rates are seen in Browns mills at 22.4% versus 21.0% in Wahpeton.
- Smoking is more prevalent in Wahpeton at 18.5% compared to 18.4% in Browns mills.
- Binge drinking is more common in Wahpeton at 22.4% compared to 17.5% in Browns mills.
- Obesity rates are higher in Wahpeton at 41.1% compared to 36.4% in Browns mills.
- There is a higher percentage of disabled individuals in Browns mills at 20.0% compared to 14.0% in Wahpeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wahpeton | Browns mills |
---|---|---|
No Schooling | 0.1% (10) | 2.1% (214) |
High School Diploma | 11.1% (886) | 22.1% (2,223) |
Less than High School | 7.7% (621) | 17.6% (1,766) |
Bachelor's Degree and Higher | 13.5% (1,085) | 11.3% (1,137) |
Education Levels Comparison: Wahpeton vs Browns mills
- In Browns mills, a larger percentage of residents lack formal schooling at 2.1% compared to 0.1% in Wahpeton.
- In Browns mills, the rate of residents with high school diplomas is higher at 22.1% compared to 11.1% in Wahpeton.
- The percentage of residents with less than a high school education is higher in Browns mills at 17.6%, compared to 7.7% in Wahpeton.
- A higher percentage of residents in Wahpeton hold a bachelor's degree or higher at 13.5% compared to 11.3% in Browns mills.
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.