Demographics details for Panaca, NV vs Marshall, TX
Population Overview
Compare main population characteristics in Panaca, NV vs Marshall, TX.
| Data | Panaca | Marshall |
|---|---|---|
| Population | 1,039 | 23,641 |
| Median Age | 34.3 years | 34.1 years |
| Median Income | $68,073 | $49,162 |
| Married Families | 45.0% | 27.0% |
| Poverty Level | 12% | 17% |
| Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Panaca vs Marshall
- The population in Marshall is higher at 23,641, compared to 1,039 in Panaca.
- Residents in Panaca have a higher median age of 34.3 years compared to 34.1 years in Marshall.
- Panaca has a higher median income of $68,073 compared to $49,162 in Marshall.
- A higher percentage of married families is found in Panaca at 45.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 12% in Panaca.
- Marshall has a higher unemployment rate at 5.1% compared to 4.5% in Panaca.
Demographics
Demographics Panaca vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Panaca | Marshall |
|---|---|---|
| Black | Data is updating | 40 |
| White | 92 | 28 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 20 |
| Two or More Races | 3 | 11 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Panaca vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 0% in Panaca.
- Panaca has a higher percentage of White residents at 92% compared to 28% in Marshall.
- In Marshall, the Asian population stands at 1%, greater than 0% in Panaca.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 0% in Panaca.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 3% in Panaca.
- A greater percentage of American Indian residents live in Panaca at 5% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Panaca | Marshall |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.2% |
| Physical Health Not Good | 11.6% | 13.8% |
| Depression | 22.8% | 22.7% |
| Smoking | 18.0% | 21.0% |
| Binge Drinking | 18.2% | 16.2% |
| Obesity | 33.4% | 42.0% |
| Disability Percentage | 6.0% | 17.0% |
Health Statistics Comparison: Panaca vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 18.1% in Panaca.
- Depression is more prevalent in Panaca at 22.8% compared to 22.7% in Marshall.
- Marshall has a higher smoking rate at 21.0% compared to 18.0% in Panaca.
- Binge drinking is more common in Panaca at 18.2% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 33.4% in Panaca.
- There is a higher percentage of disabled individuals in Marshall at 17.0% 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 | Marshall |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (195) |
| High School Diploma | 20.0% (208) | 18.7% (4,412) |
| Less than High School | 0.0% (Data is updating) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 16.3% (169) | 13.2% (3,127) |
Education Levels Comparison: Panaca vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Panaca.
- A higher percentage of residents in Panaca hold a high school diploma at 20.0% compared to 18.7% in Marshall.
- The percentage of residents with less than a high school education is higher in Marshall at 10.7%, compared to 0.0% in Panaca.
- A higher percentage of residents in Panaca hold a bachelor's degree or higher at 16.3% compared to 13.2% in Marshall.
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.