Demographics details for Hurst, TX vs Monroe center, IL
Population Overview
Compare main population characteristics in Hurst, TX vs Monroe center, IL.
Data | Hurst | Monroe center |
---|---|---|
Population | 39,634 | 410 |
Median Age | 38.1 years | 39.6 years |
Median Income | $71,275 | $86,375 |
Married Families | 40.0% | 56.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Hurst vs Monroe center
- In Hurst, the population is higher at 39,634, compared to 410 in Monroe center.
- The median age in Monroe center is higher at 39.6 years, compared to 38.1 years in Hurst.
- Monroe center has a higher median income of $86,375, compared to $71,275 in Hurst.
- In Monroe center, the percentage of married families is higher at 56.0%, compared to 40.0% in Hurst.
- Hurst has a higher poverty level at 8% compared to 5% in Monroe center.
- Monroe center has a higher unemployment rate at 4.5% compared to 4.2% in Hurst.
Demographics
Demographics Hurst vs Monroe center provide insight into the diversity of the communities to compare.
Demographic | Hurst | Monroe center |
---|---|---|
Black | 10 | Data is updating |
White | 46 | 96 |
Asian | 4 | Data is updating |
Hispanic | 26 | 2 |
Two or More Races | 13 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Hurst vs Monroe center
- A higher percentage of Black residents are in Hurst at 10% compared to 0% in Monroe center.
- The percentage of White residents is higher in Monroe center at 96% compared to 46% in Hurst.
- The Asian population is larger in Hurst at 4% compared to 0% in Monroe center.
- The Hispanic community is larger in Hurst at 26% compared to 2% in Monroe center.
- More residents identify as two or more races in Hurst at 13% compared to 2% in Monroe center.
- A greater percentage of American Indian residents live in Hurst at 1% compared to 0% in Monroe center.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hurst | Monroe center |
---|---|---|
Mental Health Not Good | 16.8% | 16.4% |
Physical Health Not Good | 11.3% | 10.9% |
Depression | 24.0% | 21.7% |
Smoking | 15.6% | 17.3% |
Binge Drinking | 17.7% | 18.7% |
Obesity | 34.0% | 34.5% |
Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Hurst vs Monroe center
- More residents in Hurst report poor mental health at 16.8% compared to 16.4% in Monroe center.
- Depression is more prevalent in Hurst at 24.0% compared to 21.7% in Monroe center.
- Monroe center has a higher smoking rate at 17.3% compared to 15.6% in Hurst.
- More residents engage in binge drinking in Monroe center at 18.7% compared to 17.7% in Hurst.
- Monroe center has higher obesity rates at 34.5% compared to 34.0% in Hurst.
- There is a higher percentage of disabled individuals in Monroe center at 16.0% compared to 12.0% in Hurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hurst | Monroe center |
---|---|---|
No Schooling | 1.2% (463) | 0.0% (Data is updating) |
High School Diploma | 12.8% (5,070) | 20.5% (84) |
Less than High School | 12.8% (5,090) | 7.8% (32) |
Bachelor's Degree and Higher | 23.0% (9,125) | 17.1% (70) |
Education Levels Comparison: Hurst vs Monroe center
- A higher percentage of residents in Hurst have no formal schooling at 1.2% compared to 0.0% in Monroe center.
- In Monroe center, the rate of residents with high school diplomas is higher at 20.5% compared to 12.8% in Hurst.
- More residents in Hurst have less than a high school education at 12.8% compared to 7.8% in Monroe center.
- A higher percentage of residents in Hurst hold a bachelor's degree or higher at 23.0% compared to 17.1% in Monroe center.
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.