Demographics details for Florence, OR vs Altoona, IA
Population Overview
Compare main population characteristics in Florence, OR vs Altoona, IA.
| Data | Florence | Altoona |
|---|---|---|
| Population | 9,376 | 21,503 |
| Median Age | 57.7 years | 36.1 years |
| Median Income | $57,568 | $89,100 |
| Married Families | 42.0% | 39.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Florence vs Altoona
- The population in Altoona is higher at 21,503, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 36.1 years in Altoona.
- Altoona has a higher median income of $89,100, compared to $57,568 in Florence.
- A higher percentage of married families is found in Florence at 42.0% compared to 39.0% in Altoona.
- Florence has a higher poverty level at 10% compared to 9% in Altoona.
- The unemployment rate in Florence is higher at 4.5%, compared to 3.5% in Altoona.
Demographics
Demographics Florence vs Altoona provide insight into the diversity of the communities to compare.
| Demographic | Florence | Altoona |
|---|---|---|
| Black | 2 | 3 |
| White | 87 | 87 |
| Asian | 2 | 1 |
| Hispanic | 5 | 4 |
| Two or More Races | 3 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Florence vs Altoona
- In Altoona, the percentage of Black residents is higher at 3% compared to 2% in Florence.
- The percentage of White residents is the same in both Florence and Altoona at 87%.
- The Asian population is larger in Florence at 2% compared to 1% in Altoona.
- The Hispanic community is larger in Florence at 5% compared to 4% in Altoona.
- The percentage of residents identifying as two or more races is higher in Altoona at 4%, compared to 3% in Florence.
- The percentage of American Indian residents is the same in both Florence and Altoona at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Altoona |
|---|---|---|
| Mental Health Not Good | 19.8% | 14.9% |
| Physical Health Not Good | 13.1% | 8.5% |
| Depression | 29.2% | 20.4% |
| Smoking | 16.7% | 15.4% |
| Binge Drinking | 17.0% | 22.2% |
| Obesity | 36.0% | 35.0% |
| Disability Percentage | 25.0% | 11.0% |
Health Statistics Comparison: Florence vs Altoona
- More residents in Florence report poor mental health at 19.8% compared to 14.9% in Altoona.
- Depression is more prevalent in Florence at 29.2% compared to 20.4% in Altoona.
- Smoking is more prevalent in Florence at 16.7% compared to 15.4% in Altoona.
- More residents engage in binge drinking in Altoona at 22.2% compared to 17.0% in Florence.
- Obesity rates are higher in Florence at 36.0% compared to 35.0% in Altoona.
- Disability percentages are higher in Florence at 25.0% compared to 11.0% in Altoona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Altoona |
|---|---|---|
| No Schooling | 0.4% (35) | 0.2% (38) |
| High School Diploma | 14.2% (1,331) | 18.5% (3,968) |
| Less than High School | 15.6% (1,467) | 4.4% (945) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 20.1% (4,313) |
Education Levels Comparison: Florence vs Altoona
- A higher percentage of residents in Florence have no formal schooling at 0.4% compared to 0.2% in Altoona.
- In Altoona, the rate of residents with high school diplomas is higher at 18.5% compared to 14.2% in Florence.
- More residents in Florence have less than a high school education at 15.6% compared to 4.4% in Altoona.
- In Altoona, a larger share of residents have a bachelor's degree or higher at 20.1% 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.