Demographics details for Florence, OR vs Old monroe, MO
Population Overview
Compare main population characteristics in Florence, OR vs Old monroe, MO.
| Data | Florence | Old monroe |
|---|---|---|
| Population | 9,376 | 263 |
| Median Age | 57.7 years | 33.0 years |
| Median Income | $57,568 | $61,250 |
| Married Families | 42.0% | 28.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Florence vs Old monroe
- In Florence, the population is higher at 9,376, compared to 263 in Old monroe.
- Residents in Florence have a higher median age of 57.7 years compared to 33.0 years in Old monroe.
- Old monroe has a higher median income of $61,250, compared to $57,568 in Florence.
- A higher percentage of married families is found in Florence at 42.0% compared to 28.0% in Old monroe.
- The poverty level is identical in both Florence and Old monroe at 10%.
- The unemployment rate is the same in both Florence and Old monroe at 4.5%.
Demographics
Demographics Florence vs Old monroe provide insight into the diversity of the communities to compare.
| Demographic | Florence | Old monroe |
|---|---|---|
| Black | 2 | Data is updating |
| White | 87 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Old monroe
- A higher percentage of Black residents are in Florence at 2% compared to 0% in Old monroe.
- The percentage of White residents is higher in Old monroe at 100% compared to 87% in Florence.
- The Asian population is larger in Florence at 2% compared to 0% in Old monroe.
- The Hispanic community is larger in Florence at 5% compared to 0% in Old monroe.
- More residents identify as two or more races in Florence at 3% compared to 0% in Old monroe.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Old monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Old monroe |
|---|---|---|
| Mental Health Not Good | 19.8% | 18.6% |
| Physical Health Not Good | 13.1% | 13.7% |
| Depression | 29.2% | 26.0% |
| Smoking | 16.7% | 22.2% |
| Binge Drinking | 17.0% | 17.9% |
| Obesity | 36.0% | 44.3% |
| Disability Percentage | 25.0% | 13.0% |
Health Statistics Comparison: Florence vs Old monroe
- More residents in Florence report poor mental health at 19.8% compared to 18.6% in Old monroe.
- Depression is more prevalent in Florence at 29.2% compared to 26.0% in Old monroe.
- Old monroe has a higher smoking rate at 22.2% compared to 16.7% in Florence.
- More residents engage in binge drinking in Old monroe at 17.9% compared to 17.0% in Florence.
- Old monroe has higher obesity rates at 44.3% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 13.0% in Old monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Old monroe |
|---|---|---|
| No Schooling | 0.4% (35) | 0.4% (1) |
| High School Diploma | 14.2% (1,331) | 19.0% (50) |
| Less than High School | 15.6% (1,467) | 10.6% (28) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 5.3% (14) |
Education Levels Comparison: Florence vs Old monroe
- The percentage of residents with no formal schooling is the same in both Florence and Old monroe at 0.4%.
- In Old monroe, the rate of residents with high school diplomas is higher at 19.0% compared to 14.2% in Florence.
- More residents in Florence have less than a high school education at 15.6% compared to 10.6% in Old monroe.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% compared to 5.3% in Old monroe.
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.