Demographics details for Humble, TX vs Columbus, IN
Population Overview
Compare main population characteristics in Humble, TX vs Columbus, IN.
| Data | Humble | Columbus |
|---|---|---|
| Population | 16,336 | 51,268 |
| Median Age | 33.5 years | 35.8 years |
| Median Income | $58,581 | $75,114 |
| Married Families | 31.0% | 41.0% |
| Poverty Level | 16% | 9% |
| Unemployment Rate | 6.2 | 4.0 |
Population Comparison: Humble vs Columbus
- The population in Columbus is higher at 51,268, compared to 16,336 in Humble.
- The median age in Columbus is higher at 35.8 years, compared to 33.5 years in Humble.
- Columbus has a higher median income of $75,114, compared to $58,581 in Humble.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 31.0% in Humble.
- Humble has a higher poverty level at 16% compared to 9% in Columbus.
- The unemployment rate in Humble is higher at 6.2%, compared to 4.0% in Columbus.
Demographics
Demographics Humble vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Humble | Columbus |
|---|---|---|
| Black | 26 | 2 |
| White | 5 | 71 |
| Asian | 1 | 13 |
| Hispanic | 50 | 9 |
| Two or More Races | 18 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Humble vs Columbus
- A higher percentage of Black residents are in Humble at 26% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 5% in Humble.
- In Columbus, the Asian population stands at 13%, greater than 1% in Humble.
- The Hispanic community is larger in Humble at 50% compared to 9% in Columbus.
- More residents identify as two or more races in Humble at 18% compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Humble and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Humble | Columbus |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.6% |
| Physical Health Not Good | 12.4% | 10.3% |
| Depression | 21.0% | 24.1% |
| Smoking | 18.1% | 16.3% |
| Binge Drinking | 18.1% | 16.3% |
| Obesity | 38.5% | 36.7% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Humble vs Columbus
- More residents in Humble report poor mental health at 17.4% compared to 15.6% in Columbus.
- Higher depression rates are seen in Columbus at 24.1% versus 21.0% in Humble.
- Smoking is more prevalent in Humble at 18.1% compared to 16.3% in Columbus.
- Binge drinking is more common in Humble at 18.1% compared to 16.3% in Columbus.
- Obesity rates are higher in Humble at 38.5% compared to 36.7% in Columbus.
- There is a higher percentage of disabled individuals in Columbus at 13.0% compared to 12.0% in Humble.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Humble | Columbus |
|---|---|---|
| No Schooling | 2.1% (346) | 0.8% (398) |
| High School Diploma | 20.3% (3,321) | 14.3% (7,340) |
| Less than High School | 16.9% (2,756) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 8.8% (1,435) | 28.1% (14,382) |
Education Levels Comparison: Humble vs Columbus
- A higher percentage of residents in Humble have no formal schooling at 2.1% compared to 0.8% in Columbus.
- A higher percentage of residents in Humble hold a high school diploma at 20.3% compared to 14.3% in Columbus.
- More residents in Humble have less than a high school education at 16.9% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 8.8% in Humble.
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.