Demographics details for Manly, IA vs Columbus, TX
Population Overview
Compare main population characteristics in Manly, IA vs Columbus, TX.
| Data | Manly | Columbus |
|---|---|---|
| Population | 1,237 | 3,714 |
| Median Age | 40.7 years | 47.0 years |
| Median Income | $64,688 | $56,250 |
| Married Families | 43.0% | 41.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.1 | 5.0 |
Population Comparison: Manly vs Columbus
- The population in Columbus is higher at 3,714, compared to 1,237 in Manly.
- The median age in Columbus is higher at 47.0 years, compared to 40.7 years in Manly.
- Manly has a higher median income of $64,688 compared to $56,250 in Columbus.
- A higher percentage of married families is found in Manly at 43.0% compared to 41.0% in Columbus.
- The poverty level is identical in both Manly and Columbus at 12%.
- Columbus has a higher unemployment rate at 5.0% compared to 3.1% in Manly.
Demographics
Demographics Manly vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Manly | Columbus |
|---|---|---|
| Black | 3 | 16 |
| White | 77 | 58 |
| Asian | Data is updating | 1 |
| Hispanic | 10 | 20 |
| Two or More Races | 10 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Manly vs Columbus
- In Columbus, the percentage of Black residents is higher at 16% compared to 3% in Manly.
- Manly has a higher percentage of White residents at 77% compared to 58% in Columbus.
- In Columbus, the Asian population stands at 1%, greater than 0% in Manly.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 10% in Manly.
- More residents identify as two or more races in Manly at 10% compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Manly and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manly | Columbus |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.4% |
| Physical Health Not Good | 9.9% | 11.0% |
| Depression | 19.1% | 21.8% |
| Smoking | 17.7% | 15.6% |
| Binge Drinking | 21.4% | 18.5% |
| Obesity | 38.1% | 36.4% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Manly vs Columbus
- In Columbus, a higher percentage report poor mental health at 16.4% compared to 16.0% in Manly.
- Higher depression rates are seen in Columbus at 21.8% versus 19.1% in Manly.
- Smoking is more prevalent in Manly at 17.7% compared to 15.6% in Columbus.
- Binge drinking is more common in Manly at 21.4% compared to 18.5% in Columbus.
- Obesity rates are higher in Manly at 38.1% compared to 36.4% in Columbus.
- Disability percentages are higher in Manly at 15.0% compared to 10.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manly | Columbus |
|---|---|---|
| No Schooling | 0.2% (3) | 2.3% (87) |
| High School Diploma | 25.9% (320) | 25.1% (934) |
| Less than High School | 5.8% (72) | 18.8% (699) |
| Bachelor's Degree and Higher | 13.3% (165) | 19.1% (710) |
Education Levels Comparison: Manly vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 0.2% in Manly.
- A higher percentage of residents in Manly hold a high school diploma at 25.9% compared to 25.1% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 18.8%, compared to 5.8% in Manly.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 13.3% in Manly.
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.