Demographics details for Altoona, AL vs Post falls, ID
Population Overview
Compare main population characteristics in Altoona, AL vs Post falls, ID.
| Data | Altoona | Post falls |
|---|---|---|
| Population | 941 | 44,194 |
| Median Age | 40.5 years | 34.5 years |
| Median Income | $38,750 | $71,042 |
| Married Families | 51.0% | 35.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Altoona vs Post falls
- The population in Post falls is higher at 44,194, compared to 941 in Altoona.
- Residents in Altoona have a higher median age of 40.5 years compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042, compared to $38,750 in Altoona.
- A higher percentage of married families is found in Altoona at 51.0% compared to 35.0% in Post falls.
- Altoona has a higher poverty level at 15% compared to 8% in Post falls.
- Post falls has a higher unemployment rate at 3.7% compared to 3.2% in Altoona.
Demographics
Demographics Altoona vs Post falls provide insight into the diversity of the communities to compare.
| Demographic | Altoona | Post falls |
|---|---|---|
| Black | 2 | Data is updating |
| White | 90 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 3 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Altoona vs Post falls
- A higher percentage of Black residents are in Altoona at 2% compared to 0% in Post falls.
- Altoona has a higher percentage of White residents at 90% compared to 87% in Post falls.
- Both Altoona and Post falls have the same percentage of Asian residents at 0%.
- Post falls has a higher percentage of Hispanic residents at 5%, compared to 4% in Altoona.
- The percentage of residents identifying as two or more races is higher in Post falls at 7%, compared to 3% in Altoona.
- The percentage of American Indian residents is the same in both Altoona and Post falls at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Altoona | Post falls |
|---|---|---|
| Mental Health Not Good | 22.1% | 16.9% |
| Physical Health Not Good | 15.0% | 12.3% |
| Depression | 28.1% | 22.9% |
| Smoking | 23.3% | 18.6% |
| Binge Drinking | 15.1% | 17.6% |
| Obesity | 39.7% | 29.8% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Altoona vs Post falls
- More residents in Altoona report poor mental health at 22.1% compared to 16.9% in Post falls.
- Depression is more prevalent in Altoona at 28.1% compared to 22.9% in Post falls.
- Smoking is more prevalent in Altoona at 23.3% compared to 18.6% in Post falls.
- More residents engage in binge drinking in Post falls at 17.6% compared to 15.1% in Altoona.
- Obesity rates are higher in Altoona at 39.7% compared to 29.8% in Post falls.
- Disability percentages are higher in Altoona at 20.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Altoona | Post falls |
|---|---|---|
| No Schooling | 1.0% (9) | 0.3% (121) |
| High School Diploma | 47.4% (446) | 14.1% (6,217) |
| Less than High School | 31.9% (300) | 7.7% (3,421) |
| Bachelor's Degree and Higher | 9.9% (93) | 13.1% (5,799) |
Education Levels Comparison: Altoona vs Post falls
- A higher percentage of residents in Altoona have no formal schooling at 1.0% compared to 0.3% in Post falls.
- A higher percentage of residents in Altoona hold a high school diploma at 47.4% compared to 14.1% in Post falls.
- More residents in Altoona have less than a high school education at 31.9% compared to 7.7% in Post falls.
- In Post falls, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 9.9% in Altoona.
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.