Demographics details for Montgomery, IL vs Hoyt, KS
Population Overview
Compare main population characteristics in Montgomery, IL vs Hoyt, KS.
Data | Montgomery | Hoyt |
---|---|---|
Population | 21,799 | 589 |
Median Age | 31.7 years | 40.0 years |
Median Income | $105,240 | $73,750 |
Married Families | 36.0% | 56.0% |
Poverty Level | 5% | 7% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Montgomery vs Hoyt
- In Montgomery, the population is higher at 21,799, compared to 589 in Hoyt.
- The median age in Hoyt is higher at 40.0 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $73,750 in Hoyt.
- In Hoyt, the percentage of married families is higher at 56.0%, compared to 36.0% in Montgomery.
- The poverty level is higher in Hoyt at 7%, compared to 5% in Montgomery.
- The unemployment rate in Montgomery is higher at 3.5%, compared to 3.2% in Hoyt.
Demographics
Demographics Montgomery vs Hoyt provide insight into the diversity of the communities to compare.
Demographic | Montgomery | Hoyt |
---|---|---|
Black | 5 | Data is updating |
White | 52 | 86 |
Asian | 1 | 1 |
Hispanic | 31 | 5 |
Two or More Races | 11 | 4 |
American Indian | Data is updating | 4 |
Demographics Comparison: Montgomery vs Hoyt
- A higher percentage of Black residents are in Montgomery at 5% compared to 0% in Hoyt.
- The percentage of White residents is higher in Hoyt at 86% compared to 52% in Montgomery.
- Both Montgomery and Hoyt have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Montgomery at 31% compared to 5% in Hoyt.
- More residents identify as two or more races in Montgomery at 11% compared to 4% in Hoyt.
- In Hoyt, the percentage of American Indian residents is higher at 4%, compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montgomery | Hoyt |
---|---|---|
Mental Health Not Good | 14.6% | 15.8% |
Physical Health Not Good | 10.3% | 9.8% |
Depression | 18.8% | 22.2% |
Smoking | 14.1% | 17.7% |
Binge Drinking | 17.3% | 19.0% |
Obesity | 34.4% | 39.5% |
Disability Percentage | 4.0% | 14.0% |
Health Statistics Comparison: Montgomery vs Hoyt
- In Hoyt, a higher percentage report poor mental health at 15.8% compared to 14.6% in Montgomery.
- Higher depression rates are seen in Hoyt at 22.2% versus 18.8% in Montgomery.
- Hoyt has a higher smoking rate at 17.7% compared to 14.1% in Montgomery.
- More residents engage in binge drinking in Hoyt at 19.0% compared to 17.3% in Montgomery.
- Hoyt has higher obesity rates at 39.5% compared to 34.4% in Montgomery.
- There is a higher percentage of disabled individuals in Hoyt at 14.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Montgomery | Hoyt |
---|---|---|
No Schooling | 1.2% (255) | 0.5% (3) |
High School Diploma | 15.6% (3,406) | 26.1% (154) |
Less than High School | 8.2% (1,792) | 12.6% (74) |
Bachelor's Degree and Higher | 15.5% (3,372) | 17.0% (100) |
Education Levels Comparison: Montgomery vs Hoyt
- A higher percentage of residents in Montgomery have no formal schooling at 1.2% compared to 0.5% in Hoyt.
- In Hoyt, the rate of residents with high school diplomas is higher at 26.1% compared to 15.6% in Montgomery.
- The percentage of residents with less than a high school education is higher in Hoyt at 12.6%, compared to 8.2% in Montgomery.
- In Hoyt, a larger share of residents have a bachelor's degree or higher at 17.0% compared to 15.5% in Montgomery.
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.