Demographics details for Monroe, MI vs Big springs, NE
Population Overview
Compare main population characteristics in Monroe, MI vs Big springs, NE.
Data | Monroe | Big springs |
---|---|---|
Population | 20,295 | 408 |
Median Age | 36.6 years | 53.5 years |
Median Income | $57,779 | $65,694 |
Married Families | 33.0% | 55.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 5.8 | 3.5 |
Population Comparison: Monroe vs Big springs
- In Monroe, the population is higher at 20,295, compared to 408 in Big springs.
- The median age in Big springs is higher at 53.5 years, compared to 36.6 years in Monroe.
- Big springs has a higher median income of $65,694, compared to $57,779 in Monroe.
- In Big springs, the percentage of married families is higher at 55.0%, compared to 33.0% in Monroe.
- Monroe has a higher poverty level at 12% compared to 10% in Big springs.
- The unemployment rate in Monroe is higher at 5.8%, compared to 3.5% in Big springs.
Demographics
Demographics Monroe vs Big springs provide insight into the diversity of the communities to compare.
Demographic | Monroe | Big springs |
---|---|---|
Black | 6 | Data is updating |
White | 86 | 75 |
Asian | 1 | Data is updating |
Hispanic | 3 | 15 |
Two or More Races | 4 | 7 |
American Indian | Data is updating | 3 |
Demographics Comparison: Monroe vs Big springs
- A higher percentage of Black residents are in Monroe at 6% compared to 0% in Big springs.
- Monroe has a higher percentage of White residents at 86% compared to 75% in Big springs.
- The Asian population is larger in Monroe at 1% compared to 0% in Big springs.
- Big springs has a higher percentage of Hispanic residents at 15%, compared to 3% in Monroe.
- The percentage of residents identifying as two or more races is higher in Big springs at 7%, compared to 4% in Monroe.
- In Big springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Monroe | Big springs |
---|---|---|
Mental Health Not Good | 19.4% | 14.4% |
Physical Health Not Good | 13.2% | 9.9% |
Depression | 25.7% | 17.8% |
Smoking | 21.6% | 17.0% |
Binge Drinking | 17.5% | 21.1% |
Obesity | 43.7% | 39.5% |
Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Monroe vs Big springs
- More residents in Monroe report poor mental health at 19.4% compared to 14.4% in Big springs.
- Depression is more prevalent in Monroe at 25.7% compared to 17.8% in Big springs.
- Smoking is more prevalent in Monroe at 21.6% compared to 17.0% in Big springs.
- More residents engage in binge drinking in Big springs at 21.1% compared to 17.5% in Monroe.
- Obesity rates are higher in Monroe at 43.7% compared to 39.5% in Big springs.
- There is a higher percentage of disabled individuals in Big springs at 18.0% compared to 16.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Monroe | Big springs |
---|---|---|
No Schooling | 0.5% (105) | 0.7% (3) |
High School Diploma | 17.0% (3,449) | 19.4% (79) |
Less than High School | 13.0% (2,633) | 22.1% (90) |
Bachelor's Degree and Higher | 13.2% (2,681) | 16.7% (68) |
Education Levels Comparison: Monroe vs Big springs
- In Big springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Monroe.
- In Big springs, the rate of residents with high school diplomas is higher at 19.4% compared to 17.0% in Monroe.
- The percentage of residents with less than a high school education is higher in Big springs at 22.1%, compared to 13.0% in Monroe.
- In Big springs, a larger share of residents have a bachelor's degree or higher at 16.7% compared to 13.2% in Monroe.
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.