Demographics details for Carlin, NV vs Crum lynne, PA
Population Overview
Compare main population characteristics in Carlin, NV vs Crum lynne, PA.
| Data | Carlin | Crum lynne |
|---|---|---|
| Population | 1,950 | 735 |
| Median Age | 36.3 years | 38.0 years |
| Median Income | $68,207 | $60,000 |
| Married Families | 52.0% | 50.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 5.2 | 4.0 |
Population Comparison: Carlin vs Crum lynne
- In Carlin, the population is higher at 1,950, compared to 735 in Crum lynne.
- The median age in Crum lynne is higher at 38.0 years, compared to 36.3 years in Carlin.
- Carlin has a higher median income of $68,207 compared to $60,000 in Crum lynne.
- A higher percentage of married families is found in Carlin at 52.0% compared to 50.0% in Crum lynne.
- The poverty level is higher in Crum lynne at 12%, compared to 0% in Carlin.
- The unemployment rate in Carlin is higher at 5.2%, compared to 4.0% in Crum lynne.
Demographics
Demographics Carlin vs Crum lynne provide insight into the diversity of the communities to compare.
| Demographic | Carlin | Crum lynne |
|---|---|---|
| Black | 1 | 5 |
| White | 23 | 90 |
| Asian | 7 | 2 |
| Hispanic | 34 | 1 |
| Two or More Races | 32 | 2 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Carlin vs Crum lynne
- In Crum lynne, the percentage of Black residents is higher at 5% compared to 1% in Carlin.
- The percentage of White residents is higher in Crum lynne at 90% compared to 23% in Carlin.
- The Asian population is larger in Carlin at 7% compared to 2% in Crum lynne.
- The Hispanic community is larger in Carlin at 34% compared to 1% in Crum lynne.
- More residents identify as two or more races in Carlin at 32% compared to 2% in Crum lynne.
- A greater percentage of American Indian residents live in Carlin at 3% compared to 0% in Crum lynne.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Carlin | Crum lynne |
|---|---|---|
| Mental Health Not Good | 18.8% | Data is updating% |
| Physical Health Not Good | 13.0% | Data is updating% |
| Depression | 22.3% | Data is updating% |
| Smoking | 20.0% | Data is updating% |
| Binge Drinking | 17.6% | Data is updating% |
| Obesity | 34.7% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Carlin vs Crum lynne
- More residents in Carlin report poor mental health at 18.8% compared to 0.0% in Crum lynne.
- Depression is more prevalent in Carlin at 22.3% compared to 0.0% in Crum lynne.
- Smoking is more prevalent in Carlin at 20.0% compared to 0.0% in Crum lynne.
- Binge drinking is more common in Carlin at 17.6% compared to 0.0% in Crum lynne.
- Obesity rates are higher in Carlin at 34.7% compared to 0.0% in Crum lynne.
- Disability percentages are higher in Carlin at 14.0% compared to 0.0% in Crum lynne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Carlin | Crum lynne |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 23.7% (462) | 0.0% (Data is updating) |
| Less than High School | 11.2% (219) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.8% (210) | 0.0% (Data is updating) |
Education Levels Comparison: Carlin vs Crum lynne
- The percentage of residents with no formal schooling is the same in both Carlin and Crum lynne at 0.0%.
- A higher percentage of residents in Carlin hold a high school diploma at 23.7% compared to 0.0% in Crum lynne.
- More residents in Carlin have less than a high school education at 11.2% compared to 0.0% in Crum lynne.
- A higher percentage of residents in Carlin hold a bachelor's degree or higher at 10.8% compared to 0.0% in Crum lynne.
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.