Demographics details for Mount orab, OH vs Maquoketa, IA
Population Overview
Compare main population characteristics in Mount orab, OH vs Maquoketa, IA.
Data | Mount orab | Maquoketa |
---|---|---|
Population | 4,337 | 6,054 |
Median Age | 30.4 years | 40.8 years |
Median Income | $62,833 | $53,462 |
Married Families | 37.0% | 38.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Mount orab vs Maquoketa
- The population in Maquoketa is higher at 6,054, compared to 4,337 in Mount orab.
- The median age in Maquoketa is higher at 40.8 years, compared to 30.4 years in Mount orab.
- Mount orab has a higher median income of $62,833 compared to $53,462 in Maquoketa.
- In Maquoketa, the percentage of married families is higher at 38.0%, compared to 37.0% in Mount orab.
- The poverty level is higher in Maquoketa at 11%, compared to 10% in Mount orab.
- The unemployment rate in Mount orab is higher at 4.5%, compared to 3.2% in Maquoketa.
Demographics
Demographics Mount orab vs Maquoketa provide insight into the diversity of the communities to compare.
Demographic | Mount orab | Maquoketa |
---|---|---|
Black | 1 | 2 |
White | 98 | 96 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 1 |
Two or More Races | 1 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount orab vs Maquoketa
- In Maquoketa, the percentage of Black residents is higher at 2% compared to 1% in Mount orab.
- Mount orab has a higher percentage of White residents at 98% compared to 96% in Maquoketa.
- Both Mount orab and Maquoketa have the same percentage of Asian residents at 0%.
- Maquoketa has a higher percentage of Hispanic residents at 1%, compared to 0% in Mount orab.
- Both Mount orab and Maquoketa have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Mount orab and Maquoketa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount orab | Maquoketa |
---|---|---|
Mental Health Not Good | 18.3% | 17.9% |
Physical Health Not Good | 12.8% | 11.8% |
Depression | 25.7% | 20.5% |
Smoking | 22.9% | 22.0% |
Binge Drinking | 18.6% | 20.7% |
Obesity | 42.0% | 39.8% |
Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Mount orab vs Maquoketa
- More residents in Mount orab report poor mental health at 18.3% compared to 17.9% in Maquoketa.
- Depression is more prevalent in Mount orab at 25.7% compared to 20.5% in Maquoketa.
- Smoking is more prevalent in Mount orab at 22.9% compared to 22.0% in Maquoketa.
- More residents engage in binge drinking in Maquoketa at 20.7% compared to 18.6% in Mount orab.
- Obesity rates are higher in Mount orab at 42.0% compared to 39.8% in Maquoketa.
- Disability percentages are the same in both Mount orab and Maquoketa at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount orab | Maquoketa |
---|---|---|
No Schooling | 0.8% (36) | 0.2% (12) |
High School Diploma | 23.9% (1,037) | 28.0% (1,696) |
Less than High School | 25.7% (1,116) | 5.3% (323) |
Bachelor's Degree and Higher | 11.0% (479) | 11.1% (673) |
Education Levels Comparison: Mount orab vs Maquoketa
- A higher percentage of residents in Mount orab have no formal schooling at 0.8% compared to 0.2% in Maquoketa.
- In Maquoketa, the rate of residents with high school diplomas is higher at 28.0% compared to 23.9% in Mount orab.
- More residents in Mount orab have less than a high school education at 25.7% compared to 5.3% in Maquoketa.
- In Maquoketa, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 11.0% in Mount orab.
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.