Demographics details for Shabbona, IL vs Hazlehurst, MS
Population Overview
Compare main population characteristics in Shabbona, IL vs Hazlehurst, MS.
Data | Shabbona | Hazlehurst |
---|---|---|
Population | 850 | 3,497 |
Median Age | 53.7 years | 36.5 years |
Median Income | $60,625 | $38,365 |
Married Families | 34.0% | 24.0% |
Poverty Level | 8% | 30% |
Unemployment Rate | 5.1 | 4.3 |
Population Comparison: Shabbona vs Hazlehurst
- The population in Hazlehurst is higher at 3,497, compared to 850 in Shabbona.
- Residents in Shabbona have a higher median age of 53.7 years compared to 36.5 years in Hazlehurst.
- Shabbona has a higher median income of $60,625 compared to $38,365 in Hazlehurst.
- A higher percentage of married families is found in Shabbona at 34.0% compared to 24.0% in Hazlehurst.
- The poverty level is higher in Hazlehurst at 30%, compared to 8% in Shabbona.
- The unemployment rate in Shabbona is higher at 5.1%, compared to 4.3% in Hazlehurst.
Demographics
Demographics Shabbona vs Hazlehurst provide insight into the diversity of the communities to compare.
Demographic | Shabbona | Hazlehurst |
---|---|---|
Black | 1 | 86 |
White | 94 | 6 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 8 |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Shabbona vs Hazlehurst
- In Hazlehurst, the percentage of Black residents is higher at 86% compared to 1% in Shabbona.
- Shabbona has a higher percentage of White residents at 94% compared to 6% in Hazlehurst.
- Both Shabbona and Hazlehurst have the same percentage of Asian residents at 0%.
- Hazlehurst has a higher percentage of Hispanic residents at 8%, compared to 3% in Shabbona.
- More residents identify as two or more races in Shabbona at 2% compared to 0% in Hazlehurst.
- The percentage of American Indian residents is the same in both Shabbona and Hazlehurst at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shabbona | Hazlehurst |
---|---|---|
Mental Health Not Good | 16.2% | 18.5% |
Physical Health Not Good | 10.5% | 15.5% |
Depression | 22.1% | 19.9% |
Smoking | 16.5% | 24.9% |
Binge Drinking | 18.8% | 11.3% |
Obesity | 36.3% | 48.7% |
Disability Percentage | 24.0% | 16.0% |
Health Statistics Comparison: Shabbona vs Hazlehurst
- In Hazlehurst, a higher percentage report poor mental health at 18.5% compared to 16.2% in Shabbona.
- Depression is more prevalent in Shabbona at 22.1% compared to 19.9% in Hazlehurst.
- Hazlehurst has a higher smoking rate at 24.9% compared to 16.5% in Shabbona.
- Binge drinking is more common in Shabbona at 18.8% compared to 11.3% in Hazlehurst.
- Hazlehurst has higher obesity rates at 48.7% compared to 36.3% in Shabbona.
- Disability percentages are higher in Shabbona at 24.0% compared to 16.0% in Hazlehurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shabbona | Hazlehurst |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.7% (95) |
High School Diploma | 22.1% (188) | 16.1% (562) |
Less than High School | 7.6% (65) | 15.5% (541) |
Bachelor's Degree and Higher | 12.2% (104) | 16.4% (573) |
Education Levels Comparison: Shabbona vs Hazlehurst
- In Hazlehurst, a larger percentage of residents lack formal schooling at 2.7% compared to 0.0% in Shabbona.
- A higher percentage of residents in Shabbona hold a high school diploma at 22.1% compared to 16.1% in Hazlehurst.
- The percentage of residents with less than a high school education is higher in Hazlehurst at 15.5%, compared to 7.6% in Shabbona.
- In Hazlehurst, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 12.2% in Shabbona.
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.