Demographics details for Kansas, IL vs Belt, MT
Population Overview
Compare main population characteristics in Kansas, IL vs Belt, MT.
| Data | Kansas | Belt |
|---|---|---|
| Population | 653 | 522 |
| Median Age | 44.3 years | 46.6 years |
| Median Income | $50,125 | $65,500 |
| Married Families | 42.0% | 37.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Kansas vs Belt
- In Kansas, the population is higher at 653, compared to 522 in Belt.
- The median age in Belt is higher at 46.6 years, compared to 44.3 years in Kansas.
- Belt has a higher median income of $65,500, compared to $50,125 in Kansas.
- A higher percentage of married families is found in Kansas at 42.0% compared to 37.0% in Belt.
- The poverty level is higher in Belt at 13%, compared to 9% in Kansas.
- The unemployment rate in Kansas is higher at 5.0%, compared to 3.5% in Belt.
Demographics
Demographics Kansas vs Belt provide insight into the diversity of the communities to compare.
| Demographic | Kansas | Belt |
|---|---|---|
| Black | 2 | Data is updating |
| White | 97 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 10 |
| Two or More Races | 1 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kansas vs Belt
- A higher percentage of Black residents are in Kansas at 2% compared to 0% in Belt.
- Kansas has a higher percentage of White residents at 97% compared to 88% in Belt.
- Both Kansas and Belt have the same percentage of Asian residents at 0%.
- Belt has a higher percentage of Hispanic residents at 10%, compared to 0% in Kansas.
- The percentage of residents identifying as two or more races is higher in Belt at 2%, compared to 1% in Kansas.
- The percentage of American Indian residents is the same in both Kansas and Belt at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kansas | Belt |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.9% |
| Physical Health Not Good | 10.7% | 10.7% |
| Depression | 22.3% | 23.8% |
| Smoking | 17.1% | 17.6% |
| Binge Drinking | 18.5% | 23.0% |
| Obesity | 35.1% | 34.4% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Kansas vs Belt
- More residents in Kansas report poor mental health at 16.3% compared to 15.9% in Belt.
- Higher depression rates are seen in Belt at 23.8% versus 22.3% in Kansas.
- Belt has a higher smoking rate at 17.6% compared to 17.1% in Kansas.
- More residents engage in binge drinking in Belt at 23.0% compared to 18.5% in Kansas.
- Obesity rates are higher in Kansas at 35.1% compared to 34.4% in Belt.
- There is a higher percentage of disabled individuals in Belt at 20.0% compared to 16.0% in Kansas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kansas | Belt |
|---|---|---|
| No Schooling | 0.3% (2) | 0.0% (Data is updating) |
| High School Diploma | 25.1% (164) | 22.4% (117) |
| Less than High School | 12.6% (82) | 16.5% (86) |
| Bachelor's Degree and Higher | 9.3% (61) | 13.2% (69) |
Education Levels Comparison: Kansas vs Belt
- A higher percentage of residents in Kansas have no formal schooling at 0.3% compared to 0.0% in Belt.
- A higher percentage of residents in Kansas hold a high school diploma at 25.1% compared to 22.4% in Belt.
- The percentage of residents with less than a high school education is higher in Belt at 16.5%, compared to 12.6% in Kansas.
- In Belt, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 9.3% in Kansas.
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.