Demographics details for White house, TN vs Maquoketa, IA
Population Overview
Compare main population characteristics in White house, TN vs Maquoketa, IA.
Data | White house | Maquoketa |
---|---|---|
Population | 14,516 | 6,054 |
Median Age | 36.5 years | 40.8 years |
Median Income | $85,404 | $53,462 |
Married Families | 46.0% | 38.0% |
Poverty Level | 7% | 11% |
Unemployment Rate | 3.4 | 3.2 |
Population Comparison: White house vs Maquoketa
- In White house, the population is higher at 14,516, compared to 6,054 in Maquoketa.
- The median age in Maquoketa is higher at 40.8 years, compared to 36.5 years in White house.
- White house has a higher median income of $85,404 compared to $53,462 in Maquoketa.
- A higher percentage of married families is found in White house at 46.0% compared to 38.0% in Maquoketa.
- The poverty level is higher in Maquoketa at 11%, compared to 7% in White house.
- The unemployment rate in White house is higher at 3.4%, compared to 3.2% in Maquoketa.
Demographics
Demographics White house vs Maquoketa provide insight into the diversity of the communities to compare.
Demographic | White house | Maquoketa |
---|---|---|
Black | 2 | 2 |
White | 87 | 96 |
Asian | 1 | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 6 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: White house vs Maquoketa
- The percentage of Black residents is the same in both White house and Maquoketa at 2%.
- The percentage of White residents is higher in Maquoketa at 96% compared to 87% in White house.
- The Asian population is larger in White house at 1% compared to 0% in Maquoketa.
- The Hispanic community is larger in White house at 4% compared to 1% in Maquoketa.
- More residents identify as two or more races in White house at 6% compared to 1% in Maquoketa.
- The percentage of American Indian residents is the same in both White house and Maquoketa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White house | Maquoketa |
---|---|---|
Mental Health Not Good | 17.5% | 17.9% |
Physical Health Not Good | 11.0% | 11.8% |
Depression | 27.6% | 20.5% |
Smoking | 17.7% | 22.0% |
Binge Drinking | 16.7% | 20.7% |
Obesity | 32.5% | 39.8% |
Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: White house vs Maquoketa
- In Maquoketa, a higher percentage report poor mental health at 17.9% compared to 17.5% in White house.
- Depression is more prevalent in White house at 27.6% compared to 20.5% in Maquoketa.
- Maquoketa has a higher smoking rate at 22.0% compared to 17.7% in White house.
- More residents engage in binge drinking in Maquoketa at 20.7% compared to 16.7% in White house.
- Maquoketa has higher obesity rates at 39.8% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in Maquoketa at 16.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White house | Maquoketa |
---|---|---|
No Schooling | 0.2% (30) | 0.2% (12) |
High School Diploma | 18.0% (2,617) | 28.0% (1,696) |
Less than High School | 12.4% (1,794) | 5.3% (323) |
Bachelor's Degree and Higher | 15.4% (2,235) | 11.1% (673) |
Education Levels Comparison: White house vs Maquoketa
- The percentage of residents with no formal schooling is the same in both White house and Maquoketa at 0.2%.
- In Maquoketa, the rate of residents with high school diplomas is higher at 28.0% compared to 18.0% in White house.
- More residents in White house have less than a high school education at 12.4% compared to 5.3% in Maquoketa.
- A higher percentage of residents in White house hold a bachelor's degree or higher at 15.4% compared to 11.1% in Maquoketa.
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.