Demographics details for Cleveland, MS vs Carlin, NV
Population Overview
Compare main population characteristics in Cleveland, MS vs Carlin, NV.
| Data | Cleveland | Carlin |
|---|---|---|
| Population | 10,545 | 1,950 |
| Median Age | 33.8 years | 36.3 years |
| Median Income | $42,005 | $68,207 |
| Married Families | 27.0% | 52.0% |
| Poverty Level | 24% | Data is updating |
| Unemployment Rate | 5.6 | 5.2 |
Population Comparison: Cleveland vs Carlin
- In Cleveland, the population is higher at 10,545, compared to 1,950 in Carlin.
- The median age in Carlin is higher at 36.3 years, compared to 33.8 years in Cleveland.
- Carlin has a higher median income of $68,207, compared to $42,005 in Cleveland.
- In Carlin, the percentage of married families is higher at 52.0%, compared to 27.0% in Cleveland.
- Cleveland has a higher poverty level at 24% compared to 0% in Carlin.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 5.2% in Carlin.
Demographics
Demographics Cleveland vs Carlin provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Carlin |
|---|---|---|
| Black | 56 | 1 |
| White | 36 | 23 |
| Asian | 2 | 7 |
| Hispanic | 1 | 34 |
| Two or More Races | 5 | 32 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Cleveland vs Carlin
- A higher percentage of Black residents are in Cleveland at 56% compared to 1% in Carlin.
- Cleveland has a higher percentage of White residents at 36% compared to 23% in Carlin.
- In Carlin, the Asian population stands at 7%, greater than 2% in Cleveland.
- Carlin has a higher percentage of Hispanic residents at 34%, compared to 1% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Carlin at 32%, compared to 5% in Cleveland.
- In Carlin, the percentage of American Indian residents is higher at 3%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Carlin |
|---|---|---|
| Mental Health Not Good | 17.6% | 18.8% |
| Physical Health Not Good | 13.8% | 13.0% |
| Depression | 20.4% | 22.3% |
| Smoking | 21.0% | 20.0% |
| Binge Drinking | 12.7% | 17.6% |
| Obesity | 41.4% | 34.7% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Cleveland vs Carlin
- In Carlin, a higher percentage report poor mental health at 18.8% compared to 17.6% in Cleveland.
- Higher depression rates are seen in Carlin at 22.3% versus 20.4% in Cleveland.
- Smoking is more prevalent in Cleveland at 21.0% compared to 20.0% in Carlin.
- More residents engage in binge drinking in Carlin at 17.6% compared to 12.7% in Cleveland.
- Obesity rates are higher in Cleveland at 41.4% compared to 34.7% in Carlin.
- Disability percentages are higher in Cleveland at 20.0% compared to 14.0% in Carlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Carlin |
|---|---|---|
| No Schooling | 0.9% (99) | 0.0% (Data is updating) |
| High School Diploma | 10.0% (1,059) | 23.7% (462) |
| Less than High School | 13.3% (1,404) | 11.2% (219) |
| Bachelor's Degree and Higher | 21.3% (2,242) | 10.8% (210) |
Education Levels Comparison: Cleveland vs Carlin
- A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.0% in Carlin.
- In Carlin, the rate of residents with high school diplomas is higher at 23.7% compared to 10.0% in Cleveland.
- More residents in Cleveland have less than a high school education at 13.3% compared to 11.2% in Carlin.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 21.3% compared to 10.8% in Carlin.
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.