Demographics details for Iowa city, IA vs Carlin, NV
Population Overview
Compare main population characteristics in Iowa city, IA vs Carlin, NV.
Data | Iowa city | Carlin |
---|---|---|
Population | 75,233 | 1,950 |
Median Age | 26.0 years | 36.3 years |
Median Income | $54,879 | $68,207 |
Married Families | 29.0% | 52.0% |
Poverty Level | 14% | Data is updating |
Unemployment Rate | 2.4 | 5.2 |
Population Comparison: Iowa city vs Carlin
- In Iowa city, the population is higher at 75,233, compared to 1,950 in Carlin.
- The median age in Carlin is higher at 36.3 years, compared to 26.0 years in Iowa city.
- Carlin has a higher median income of $68,207, compared to $54,879 in Iowa city.
- In Carlin, the percentage of married families is higher at 52.0%, compared to 29.0% in Iowa city.
- Iowa city has a higher poverty level at 14% compared to 0% in Carlin.
- Carlin has a higher unemployment rate at 5.2% compared to 2.4% in Iowa city.
Demographics
Demographics Iowa city vs Carlin provide insight into the diversity of the communities to compare.
Demographic | Iowa city | Carlin |
---|---|---|
Black | 8 | 1 |
White | 72 | 23 |
Asian | 8 | 7 |
Hispanic | 7 | 34 |
Two or More Races | 5 | 32 |
American Indian | Data is updating | 3 |
Demographics Comparison: Iowa city vs Carlin
- A higher percentage of Black residents are in Iowa city at 8% compared to 1% in Carlin.
- Iowa city has a higher percentage of White residents at 72% compared to 23% in Carlin.
- The Asian population is larger in Iowa city at 8% compared to 7% in Carlin.
- Carlin has a higher percentage of Hispanic residents at 34%, compared to 7% in Iowa city.
- The percentage of residents identifying as two or more races is higher in Carlin at 32%, compared to 5% in Iowa city.
- In Carlin, the percentage of American Indian residents is higher at 3%, compared to 0% in Iowa city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Iowa city | Carlin |
---|---|---|
Mental Health Not Good | 15.6% | 18.8% |
Physical Health Not Good | 9.2% | 13.0% |
Depression | 19.6% | 22.3% |
Smoking | 15.0% | 20.0% |
Binge Drinking | 20.4% | 17.6% |
Obesity | 33.9% | 34.7% |
Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Iowa city vs Carlin
- In Carlin, a higher percentage report poor mental health at 18.8% compared to 15.6% in Iowa city.
- Higher depression rates are seen in Carlin at 22.3% versus 19.6% in Iowa city.
- Carlin has a higher smoking rate at 20.0% compared to 15.0% in Iowa city.
- Binge drinking is more common in Iowa city at 20.4% compared to 17.6% in Carlin.
- Carlin has higher obesity rates at 34.7% compared to 33.9% in Iowa city.
- There is a higher percentage of disabled individuals in Carlin at 14.0% compared to 8.0% in Iowa city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Iowa city | Carlin |
---|---|---|
No Schooling | 0.2% (164) | 0.0% (Data is updating) |
High School Diploma | 6.2% (4,655) | 23.7% (462) |
Less than High School | 2.7% (2,064) | 11.2% (219) |
Bachelor's Degree and Higher | 30.8% (23,180) | 10.8% (210) |
Education Levels Comparison: Iowa city vs Carlin
- A higher percentage of residents in Iowa city have no formal schooling at 0.2% compared to 0.0% in Carlin.
- In Carlin, the rate of residents with high school diplomas is higher at 23.7% compared to 6.2% in Iowa city.
- The percentage of residents with less than a high school education is higher in Carlin at 11.2%, compared to 2.7% in Iowa city.
- A higher percentage of residents in Iowa city hold a bachelor's degree or higher at 30.8% 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.