Demographics details for Manhattan, MT vs Norfolk, NE
Population Overview
Compare main population characteristics in Manhattan, MT vs Norfolk, NE.
| Data | Manhattan | Norfolk |
|---|---|---|
| Population | 2,120 | 25,928 |
| Median Age | 39.6 years | 36.8 years |
| Median Income | $57,045 | $57,479 |
| Married Families | 37.0% | 38.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.2 | 3.1 |
Population Comparison: Manhattan vs Norfolk
- The population in Norfolk is higher at 25,928, compared to 2,120 in Manhattan.
- Residents in Manhattan have a higher median age of 39.6 years compared to 36.8 years in Norfolk.
- Norfolk has a higher median income of $57,479, compared to $57,045 in Manhattan.
- In Norfolk, the percentage of married families is higher at 38.0%, compared to 37.0% in Manhattan.
- The poverty level is identical in both Manhattan and Norfolk at 10%.
- The unemployment rate in Manhattan is higher at 4.2%, compared to 3.1% in Norfolk.
Demographics
Demographics Manhattan vs Norfolk provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Norfolk |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 75 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 14 |
| Two or More Races | 3 | 8 |
| American Indian | 1 | 1 |
Demographics Comparison: Manhattan vs Norfolk
- In Norfolk, the percentage of Black residents is higher at 1% compared to 0% in Manhattan.
- Manhattan has a higher percentage of White residents at 94% compared to 75% in Norfolk.
- In Norfolk, the Asian population stands at 1%, greater than 0% in Manhattan.
- Norfolk has a higher percentage of Hispanic residents at 14%, compared to 2% in Manhattan.
- The percentage of residents identifying as two or more races is higher in Norfolk at 8%, compared to 3% in Manhattan.
- The percentage of American Indian residents is the same in both Manhattan and Norfolk at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Norfolk |
|---|---|---|
| Mental Health Not Good | 14.4% | 14.3% |
| Physical Health Not Good | 9.0% | 10.1% |
| Depression | 22.7% | 18.5% |
| Smoking | 13.5% | 16.9% |
| Binge Drinking | 24.2% | 21.4% |
| Obesity | 24.2% | 37.1% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Manhattan vs Norfolk
- More residents in Manhattan report poor mental health at 14.4% compared to 14.3% in Norfolk.
- Depression is more prevalent in Manhattan at 22.7% compared to 18.5% in Norfolk.
- Norfolk has a higher smoking rate at 16.9% compared to 13.5% in Manhattan.
- Binge drinking is more common in Manhattan at 24.2% compared to 21.4% in Norfolk.
- Norfolk has higher obesity rates at 37.1% compared to 24.2% in Manhattan.
- Disability percentages are higher in Manhattan at 12.0% compared to 11.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manhattan | Norfolk |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (340) |
| High School Diploma | 15.3% (325) | 18.2% (4,708) |
| Less than High School | 0.6% (12) | 8.1% (2,107) |
| Bachelor's Degree and Higher | 18.5% (392) | 16.6% (4,308) |
Education Levels Comparison: Manhattan vs Norfolk
- In Norfolk, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Manhattan.
- In Norfolk, the rate of residents with high school diplomas is higher at 18.2% compared to 15.3% in Manhattan.
- The percentage of residents with less than a high school education is higher in Norfolk at 8.1%, compared to 0.6% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 18.5% compared to 16.6% in Norfolk.
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.