Demographics details for Lees summit, MO vs Florence, OR
Population Overview
Compare main population characteristics in Lees summit, MO vs Florence, OR.
| Data | Lees summit | Florence |
|---|---|---|
| Population | 103,465 | 9,376 |
| Median Age | 38.6 years | 57.7 years |
| Median Income | $103,447 | $57,568 |
| Married Families | 45.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.3 | 4.5 |
Population Comparison: Lees summit vs Florence
- In Lees summit, the population is higher at 103,465, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 38.6 years in Lees summit.
- Lees summit has a higher median income of $103,447 compared to $57,568 in Florence.
- A higher percentage of married families is found in Lees summit at 45.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 5% in Lees summit.
- Florence has a higher unemployment rate at 4.5% compared to 3.3% in Lees summit.
Demographics
Demographics Lees summit vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Lees summit | Florence |
|---|---|---|
| Black | 9 | 2 |
| White | 78 | 87 |
| Asian | 2 | 2 |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lees summit vs Florence
- A higher percentage of Black residents are in Lees summit at 9% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 78% in Lees summit.
- Both Lees summit and Florence have the same percentage of Asian residents at 2%.
- The percentage of Hispanic residents is the same in both Lees summit and Florence at 5%.
- More residents identify as two or more races in Lees summit at 6% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Lees summit.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lees summit | Florence |
|---|---|---|
| Mental Health Not Good | 16.0% | 19.8% |
| Physical Health Not Good | 9.2% | 13.1% |
| Depression | 21.8% | 29.2% |
| Smoking | 13.1% | 16.7% |
| Binge Drinking | 21.7% | 17.0% |
| Obesity | 33.2% | 36.0% |
| Disability Percentage | 9.0% | 25.0% |
Health Statistics Comparison: Lees summit vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 16.0% in Lees summit.
- Higher depression rates are seen in Florence at 29.2% versus 21.8% in Lees summit.
- Florence has a higher smoking rate at 16.7% compared to 13.1% in Lees summit.
- Binge drinking is more common in Lees summit at 21.7% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 33.2% in Lees summit.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 9.0% in Lees summit.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lees summit | Florence |
|---|---|---|
| No Schooling | 0.3% (298) | 0.4% (35) |
| High School Diploma | 11.1% (11,521) | 14.2% (1,331) |
| Less than High School | 3.2% (3,308) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 32.3% (33,401) | 19.9% (1,865) |
Education Levels Comparison: Lees summit vs Florence
- In Florence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Lees summit.
- In Florence, the rate of residents with high school diplomas is higher at 14.2% compared to 11.1% in Lees summit.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 3.2% in Lees summit.
- A higher percentage of residents in Lees summit hold a bachelor's degree or higher at 32.3% compared to 19.9% in Florence.
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.