Demographics details for Manhattan, KS vs Venedocia, OH
Population Overview
Compare main population characteristics in Manhattan, KS vs Venedocia, OH.
Data | Manhattan | Venedocia |
---|---|---|
Population | 53,829 | 137 |
Median Age | 24.7 years | 38.8 years |
Median Income | $55,316 | $51,429 |
Married Families | 29.0% | 47.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 3.8 | 5.0 |
Population Comparison: Manhattan vs Venedocia
- In Manhattan, the population is higher at 53,829, compared to 137 in Venedocia.
- The median age in Venedocia is higher at 38.8 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $51,429 in Venedocia.
- In Venedocia, the percentage of married families is higher at 47.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 10% in Venedocia.
- Venedocia has a higher unemployment rate at 5.0% compared to 3.8% in Manhattan.
Demographics
Demographics Manhattan vs Venedocia provide insight into the diversity of the communities to compare.
Demographic | Manhattan | Venedocia |
---|---|---|
Black | 5 | Data is updating |
White | 74 | 92 |
Asian | 5 | Data is updating |
Hispanic | 8 | 1 |
Two or More Races | 7 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Venedocia
- A higher percentage of Black residents are in Manhattan at 5% compared to 0% in Venedocia.
- The percentage of White residents is higher in Venedocia at 92% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 0% in Venedocia.
- The Hispanic community is larger in Manhattan at 8% compared to 1% in Venedocia.
- Both Manhattan and Venedocia have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Venedocia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manhattan | Venedocia |
---|---|---|
Mental Health Not Good | 15.7% | 17.3% |
Physical Health Not Good | 10.1% | 11.3% |
Depression | 20.2% | 23.3% |
Smoking | 16.0% | 20.8% |
Binge Drinking | 20.6% | 18.9% |
Obesity | 32.2% | 43.2% |
Disability Percentage | 12.0% | 25.0% |
Health Statistics Comparison: Manhattan vs Venedocia
- In Venedocia, a higher percentage report poor mental health at 17.3% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Venedocia at 23.3% versus 20.2% in Manhattan.
- Venedocia has a higher smoking rate at 20.8% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 18.9% in Venedocia.
- Venedocia has higher obesity rates at 43.2% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Venedocia at 25.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manhattan | Venedocia |
---|---|---|
No Schooling | 0.5% (256) | 0.0% (Data is updating) |
High School Diploma | 5.8% (3,138) | 27.0% (37) |
Less than High School | 4.2% (2,256) | 43.8% (60) |
Bachelor's Degree and Higher | 26.0% (14,017) | 13.1% (18) |
Education Levels Comparison: Manhattan vs Venedocia
- A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.0% in Venedocia.
- In Venedocia, the rate of residents with high school diplomas is higher at 27.0% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Venedocia at 43.8%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 13.1% in Venedocia.
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.