Demographics details for Necedah, WI vs Manhattan, KS
Population Overview
Compare main population characteristics in Necedah, WI vs Manhattan, KS.
Data | Necedah | Manhattan |
---|---|---|
Population | 2,353 | 53,829 |
Median Age | 42.0 years | 24.7 years |
Median Income | $55,625 | $55,316 |
Married Families | 60.0% | 29.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Necedah vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 2,353 in Necedah.
- Residents in Necedah have a higher median age of 42.0 years compared to 24.7 years in Manhattan.
- Necedah has a higher median income of $55,625 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in Necedah at 60.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 12% in Necedah.
- Manhattan has a higher unemployment rate at 3.8% compared to 3.5% in Necedah.
Demographics
Demographics Necedah vs Manhattan provide insight into the diversity of the communities to compare.
Demographic | Necedah | Manhattan |
---|---|---|
Black | 1 | 5 |
White | 97 | 74 |
Asian | Data is updating | 5 |
Hispanic | 2 | 8 |
Two or More Races | Data is updating | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Necedah vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 1% in Necedah.
- Necedah has a higher percentage of White residents at 97% compared to 74% in Manhattan.
- In Manhattan, the Asian population stands at 5%, greater than 0% in Necedah.
- Manhattan has a higher percentage of Hispanic residents at 8%, compared to 2% in Necedah.
- The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 0% in Necedah.
- In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Necedah.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Necedah | Manhattan |
---|---|---|
Mental Health Not Good | Data is updating% | 15.7% |
Physical Health Not Good | Data is updating% | 10.1% |
Depression | Data is updating% | 20.2% |
Smoking | Data is updating% | 16.0% |
Binge Drinking | Data is updating% | 20.6% |
Obesity | Data is updating% | 32.2% |
Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Necedah vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 0.0% in Necedah.
- Higher depression rates are seen in Manhattan at 20.2% versus 0.0% in Necedah.
- Manhattan has a higher smoking rate at 16.0% compared to 0.0% in Necedah.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 0.0% in Necedah.
- Manhattan has higher obesity rates at 32.2% compared to 0.0% in Necedah.
- There is a higher percentage of disabled individuals in Manhattan at 12.0% compared to 0.0% in Necedah.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Necedah | Manhattan |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (256) |
High School Diploma | 0.0% (Data is updating) | 5.8% (3,138) |
Less than High School | 0.0% (Data is updating) | 4.2% (2,256) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.0% (14,017) |
Education Levels Comparison: Necedah vs Manhattan
- In Manhattan, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Necedah.
- In Manhattan, the rate of residents with high school diplomas is higher at 5.8% compared to 0.0% in Necedah.
- The percentage of residents with less than a high school education is higher in Manhattan at 4.2%, compared to 0.0% in Necedah.
- In Manhattan, a larger share of residents have a bachelor's degree or higher at 26.0% compared to 0.0% in Necedah.
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.