Demographics details for Columbus, IN vs Niobrara, NE
Population Overview
Compare main population characteristics in Columbus, IN vs Niobrara, NE.
| Data | Columbus | Niobrara |
|---|---|---|
| Population | 51,268 | 363 |
| Median Age | 35.8 years | 55.1 years |
| Median Income | $75,114 | $37,452 |
| Married Families | 41.0% | 39.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.0 | 2.5 |
Population Comparison: Columbus vs Niobrara
- In Columbus, the population is higher at 51,268, compared to 363 in Niobrara.
- The median age in Niobrara is higher at 55.1 years, compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114 compared to $37,452 in Niobrara.
- A higher percentage of married families is found in Columbus at 41.0% compared to 39.0% in Niobrara.
- The poverty level is higher in Niobrara at 10%, compared to 9% in Columbus.
- The unemployment rate in Columbus is higher at 4.0%, compared to 2.5% in Niobrara.
Demographics
Demographics Columbus vs Niobrara provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Niobrara |
|---|---|---|
| Black | 2 | Data is updating |
| White | 71 | 91 |
| Asian | 13 | Data is updating |
| Hispanic | 9 | Data is updating |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | 7 |
Demographics Comparison: Columbus vs Niobrara
- A higher percentage of Black residents are in Columbus at 2% compared to 0% in Niobrara.
- The percentage of White residents is higher in Niobrara at 91% compared to 71% in Columbus.
- The Asian population is larger in Columbus at 13% compared to 0% in Niobrara.
- The Hispanic community is larger in Columbus at 9% compared to 0% in Niobrara.
- More residents identify as two or more races in Columbus at 5% compared to 2% in Niobrara.
- In Niobrara, the percentage of American Indian residents is higher at 7%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Niobrara |
|---|---|---|
| Mental Health Not Good | 15.6% | 14.3% |
| Physical Health Not Good | 10.3% | 10.1% |
| Depression | 24.1% | 17.7% |
| Smoking | 16.3% | 18.2% |
| Binge Drinking | 16.3% | 21.6% |
| Obesity | 36.7% | 40.5% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Columbus vs Niobrara
- More residents in Columbus report poor mental health at 15.6% compared to 14.3% in Niobrara.
- Depression is more prevalent in Columbus at 24.1% compared to 17.7% in Niobrara.
- Niobrara has a higher smoking rate at 18.2% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Niobrara at 21.6% compared to 16.3% in Columbus.
- Niobrara has higher obesity rates at 40.5% compared to 36.7% in Columbus.
- There is a higher percentage of disabled individuals in Niobrara at 17.0% compared to 13.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Niobrara |
|---|---|---|
| No Schooling | 0.8% (398) | 0.3% (1) |
| High School Diploma | 14.3% (7,340) | 26.2% (95) |
| Less than High School | 9.1% (4,677) | 11.3% (41) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 14.3% (52) |
Education Levels Comparison: Columbus vs Niobrara
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.3% in Niobrara.
- In Niobrara, the rate of residents with high school diplomas is higher at 26.2% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Niobrara at 11.3%, compared to 9.1% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% compared to 14.3% in Niobrara.
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.