Demographics details for Panaca, NV vs Columbia, MO
Population Overview
Compare main population characteristics in Panaca, NV vs Columbia, MO.
| Data | Panaca | Columbia |
|---|---|---|
| Population | 1,039 | 128,555 |
| Median Age | 34.3 years | 28.8 years |
| Median Income | $68,073 | $60,455 |
| Married Families | 45.0% | 32.0% |
| Poverty Level | 12% | 19% |
| Unemployment Rate | 4.5 | 3.8 |
Population Comparison: Panaca vs Columbia
- The population in Columbia is higher at 128,555, compared to 1,039 in Panaca.
- Residents in Panaca have a higher median age of 34.3 years compared to 28.8 years in Columbia.
- Panaca has a higher median income of $68,073 compared to $60,455 in Columbia.
- A higher percentage of married families is found in Panaca at 45.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 12% in Panaca.
- The unemployment rate in Panaca is higher at 4.5%, compared to 3.8% in Columbia.
Demographics
Demographics Panaca vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Panaca | Columbia |
|---|---|---|
| Black | Data is updating | 11 |
| White | 92 | 73 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 3 | 6 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Panaca vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 0% in Panaca.
- Panaca has a higher percentage of White residents at 92% compared to 73% in Columbia.
- In Columbia, the Asian population stands at 6%, greater than 0% in Panaca.
- Columbia has a higher percentage of Hispanic residents at 4%, compared to 0% in Panaca.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 3% in Panaca.
- A greater percentage of American Indian residents live in Panaca at 5% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Panaca | Columbia |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.7% |
| Physical Health Not Good | 11.6% | 11.4% |
| Depression | 22.8% | 25.3% |
| Smoking | 18.0% | 16.3% |
| Binge Drinking | 18.2% | 17.7% |
| Obesity | 33.4% | 33.5% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Panaca vs Columbia
- More residents in Panaca report poor mental health at 18.1% compared to 16.7% in Columbia.
- Higher depression rates are seen in Columbia at 25.3% versus 22.8% in Panaca.
- Smoking is more prevalent in Panaca at 18.0% compared to 16.3% in Columbia.
- Binge drinking is more common in Panaca at 18.2% compared to 17.7% in Columbia.
- Columbia has higher obesity rates at 33.5% compared to 33.4% in Panaca.
- There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 6.0% in Panaca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Panaca | Columbia |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (845) |
| High School Diploma | 20.0% (208) | 7.8% (9,965) |
| Less than High School | 0.0% (Data is updating) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 16.3% (169) | 30.5% (39,270) |
Education Levels Comparison: Panaca vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Panaca.
- A higher percentage of residents in Panaca hold a high school diploma at 20.0% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Columbia at 4.2%, compared to 0.0% in Panaca.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 16.3% in Panaca.
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.