Demographics details for Brussels, WI vs Moore, OK
Population Overview
Compare main population characteristics in Brussels, WI vs Moore, OK.
Data | Brussels | Moore |
---|---|---|
Population | 1,105 | 63,223 |
Median Age | 41.0 years | 33.8 years |
Median Income | $61,000 | $73,285 |
Married Families | 43.0% | 40.0% |
Poverty Level | 3% | 11% |
Unemployment Rate | 4.0 | 3.1 |
Population Comparison: Brussels vs Moore
- The population in Moore is higher at 63,223, compared to 1,105 in Brussels.
- Residents in Brussels have a higher median age of 41.0 years compared to 33.8 years in Moore.
- Moore has a higher median income of $73,285, compared to $61,000 in Brussels.
- A higher percentage of married families is found in Brussels at 43.0% compared to 40.0% in Moore.
- The poverty level is higher in Moore at 11%, compared to 3% in Brussels.
- The unemployment rate in Brussels is higher at 4.0%, compared to 3.1% in Moore.
Demographics
Demographics Brussels vs Moore provide insight into the diversity of the communities to compare.
Demographic | Brussels | Moore |
---|---|---|
Black | Data is updating | 5 |
White | 100 | 66 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 11 |
Two or More Races | Data is updating | 11 |
American Indian | Data is updating | 4 |
Demographics Comparison: Brussels vs Moore
- In Moore, the percentage of Black residents is higher at 5% compared to 0% in Brussels.
- Brussels has a higher percentage of White residents at 100% compared to 66% in Moore.
- In Moore, the Asian population stands at 3%, greater than 0% in Brussels.
- Moore has a higher percentage of Hispanic residents at 11%, compared to 0% in Brussels.
- The percentage of residents identifying as two or more races is higher in Moore at 11%, compared to 0% in Brussels.
- In Moore, the percentage of American Indian residents is higher at 4%, compared to 0% in Brussels.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Brussels | Moore |
---|---|---|
Mental Health Not Good | Data is updating% | 16.7% |
Physical Health Not Good | Data is updating% | 11.0% |
Depression | Data is updating% | 25.5% |
Smoking | Data is updating% | 16.7% |
Binge Drinking | Data is updating% | 16.2% |
Obesity | Data is updating% | 34.4% |
Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Brussels vs Moore
- In Moore, a higher percentage report poor mental health at 16.7% compared to 0.0% in Brussels.
- Higher depression rates are seen in Moore at 25.5% versus 0.0% in Brussels.
- Moore has a higher smoking rate at 16.7% compared to 0.0% in Brussels.
- More residents engage in binge drinking in Moore at 16.2% compared to 0.0% in Brussels.
- Moore has higher obesity rates at 34.4% compared to 0.0% in Brussels.
- There is a higher percentage of disabled individuals in Moore at 14.0% compared to 0.0% in Brussels.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Brussels | Moore |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (694) |
High School Diploma | 0.0% (Data is updating) | 15.4% (9,764) |
Less than High School | 0.0% (Data is updating) | 10.6% (6,721) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 17.6% (11,158) |
Education Levels Comparison: Brussels vs Moore
- In Moore, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Brussels.
- In Moore, the rate of residents with high school diplomas is higher at 15.4% compared to 0.0% in Brussels.
- The percentage of residents with less than a high school education is higher in Moore at 10.6%, compared to 0.0% in Brussels.
- In Moore, a larger share of residents have a bachelor's degree or higher at 17.6% compared to 0.0% in Brussels.
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.