Demographics details for Altoona, IA vs Columbus, OH
Population Overview
Compare main population characteristics in Altoona, IA vs Columbus, OH.
| Data | Altoona | Columbus |
|---|---|---|
| Population | 21,503 | 907,971 |
| Median Age | 36.1 years | 32.7 years |
| Median Income | $89,100 | $62,994 |
| Married Families | 39.0% | 29.0% |
| Poverty Level | 9% | 14% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Altoona vs Columbus
- The population in Columbus is higher at 907,971, compared to 21,503 in Altoona.
- Residents in Altoona have a higher median age of 36.1 years compared to 32.7 years in Columbus.
- Altoona has a higher median income of $89,100 compared to $62,994 in Columbus.
- A higher percentage of married families is found in Altoona at 39.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 9% in Altoona.
- Columbus has a higher unemployment rate at 5.0% compared to 3.5% in Altoona.
Demographics
Demographics Altoona vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Altoona | Columbus |
|---|---|---|
| Black | 3 | 29 |
| White | 87 | 51 |
| Asian | 1 | 6 |
| Hispanic | 4 | 7 |
| Two or More Races | 4 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Altoona vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 3% in Altoona.
- Altoona has a higher percentage of White residents at 87% compared to 51% in Columbus.
- In Columbus, the Asian population stands at 6%, greater than 1% in Altoona.
- Columbus has a higher percentage of Hispanic residents at 7%, compared to 4% in Altoona.
- The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 4% in Altoona.
- A greater percentage of American Indian residents live in Altoona at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Altoona | Columbus |
|---|---|---|
| Mental Health Not Good | 14.9% | 18.4% |
| Physical Health Not Good | 8.5% | 12.2% |
| Depression | 20.4% | 23.9% |
| Smoking | 15.4% | 19.6% |
| Binge Drinking | 22.2% | 17.7% |
| Obesity | 35.0% | 38.0% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Altoona vs Columbus
- In Columbus, a higher percentage report poor mental health at 18.4% compared to 14.9% in Altoona.
- Higher depression rates are seen in Columbus at 23.9% versus 20.4% in Altoona.
- Columbus has a higher smoking rate at 19.6% compared to 15.4% in Altoona.
- Binge drinking is more common in Altoona at 22.2% compared to 17.7% in Columbus.
- Columbus has higher obesity rates at 38.0% compared to 35.0% in Altoona.
- Disability percentages are the same in both Altoona and Columbus at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Altoona | Columbus |
|---|---|---|
| No Schooling | 0.2% (38) | 1.4% (12,592) |
| High School Diploma | 18.5% (3,968) | 14.4% (130,716) |
| Less than High School | 4.4% (945) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 20.1% (4,313) | 25.2% (229,071) |
Education Levels Comparison: Altoona vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.2% in Altoona.
- A higher percentage of residents in Altoona hold a high school diploma at 18.5% compared to 14.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 9.7%, compared to 4.4% in Altoona.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 20.1% 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.