Demographics details for Montrose, MI vs Smith center, KS
Population Overview
Compare main population characteristics in Montrose, MI vs Smith center, KS.
Data | Montrose | Smith center |
---|---|---|
Population | 1,712 | 1,561 |
Median Age | 32.5 years | 46.6 years |
Median Income | $41,750 | $49,444 |
Married Families | 33.0% | 43.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Montrose vs Smith center
- In Montrose, the population is higher at 1,712, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 32.5 years in Montrose.
- Smith center has a higher median income of $49,444, compared to $41,750 in Montrose.
- In Smith center, the percentage of married families is higher at 43.0%, compared to 33.0% in Montrose.
- Montrose has a higher poverty level at 15% compared to 10% in Smith center.
- The unemployment rate in Montrose is higher at 5.0%, compared to 3.2% in Smith center.
Demographics
Demographics Montrose vs Smith center provide insight into the diversity of the communities to compare.
Demographic | Montrose | Smith center |
---|---|---|
Black | 6 | 1 |
White | 77 | 94 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | 3 |
Two or More Races | 9 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Montrose vs Smith center
- A higher percentage of Black residents are in Montrose at 6% compared to 1% in Smith center.
- The percentage of White residents is higher in Smith center at 94% compared to 77% in Montrose.
- Both Montrose and Smith center have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Montrose at 7% compared to 3% in Smith center.
- More residents identify as two or more races in Montrose at 9% compared to 2% in Smith center.
- A greater percentage of American Indian residents live in Montrose at 1% compared to 0% in Smith center.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montrose | Smith center |
---|---|---|
Mental Health Not Good | 19.3% | 16.7% |
Physical Health Not Good | 14.0% | 10.8% |
Depression | 29.0% | 21.7% |
Smoking | 24.2% | 19.2% |
Binge Drinking | 18.0% | 19.0% |
Obesity | 41.8% | 38.8% |
Disability Percentage | 26.0% | 15.0% |
Health Statistics Comparison: Montrose vs Smith center
- More residents in Montrose report poor mental health at 19.3% compared to 16.7% in Smith center.
- Depression is more prevalent in Montrose at 29.0% compared to 21.7% in Smith center.
- Smoking is more prevalent in Montrose at 24.2% compared to 19.2% in Smith center.
- More residents engage in binge drinking in Smith center at 19.0% compared to 18.0% in Montrose.
- Obesity rates are higher in Montrose at 41.8% compared to 38.8% in Smith center.
- Disability percentages are higher in Montrose at 26.0% compared to 15.0% in Smith center.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Montrose | Smith center |
---|---|---|
No Schooling | 2.0% (34) | 0.2% (3) |
High School Diploma | 22.7% (388) | 29.4% (459) |
Less than High School | 17.2% (295) | 7.6% (118) |
Bachelor's Degree and Higher | 6.8% (117) | 14.8% (231) |
Education Levels Comparison: Montrose vs Smith center
- A higher percentage of residents in Montrose have no formal schooling at 2.0% compared to 0.2% in Smith center.
- In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 22.7% in Montrose.
- More residents in Montrose have less than a high school education at 17.2% compared to 7.6% in Smith center.
- In Smith center, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 6.8% in Montrose.
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.