Demographics details for Carlin, NV vs Grand junction, CO
Population Overview
Compare main population characteristics in Carlin, NV vs Grand junction, CO.
Data | Carlin | Grand junction |
---|---|---|
Population | 1,950 | 68,034 |
Median Age | 36.3 years | 39.9 years |
Median Income | $68,207 | $62,993 |
Married Families | 52.0% | 35.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 5.2 | 4.7 |
Population Comparison: Carlin vs Grand junction
- The population in Grand junction is higher at 68,034, compared to 1,950 in Carlin.
- The median age in Grand junction is higher at 39.9 years, compared to 36.3 years in Carlin.
- Carlin has a higher median income of $68,207 compared to $62,993 in Grand junction.
- A higher percentage of married families is found in Carlin at 52.0% compared to 35.0% in Grand junction.
- The poverty level is higher in Grand junction at 10%, compared to 0% in Carlin.
- The unemployment rate in Carlin is higher at 5.2%, compared to 4.7% in Grand junction.
Demographics
Demographics Carlin vs Grand junction provide insight into the diversity of the communities to compare.
Demographic | Carlin | Grand junction |
---|---|---|
Black | 1 | 1 |
White | 23 | 73 |
Asian | 7 | 1 |
Hispanic | 34 | 16 |
Two or More Races | 32 | 8 |
American Indian | 3 | 1 |
Demographics Comparison: Carlin vs Grand junction
- The percentage of Black residents is the same in both Carlin and Grand junction at 1%.
- The percentage of White residents is higher in Grand junction at 73% compared to 23% in Carlin.
- The Asian population is larger in Carlin at 7% compared to 1% in Grand junction.
- The Hispanic community is larger in Carlin at 34% compared to 16% in Grand junction.
- More residents identify as two or more races in Carlin at 32% compared to 8% in Grand junction.
- A greater percentage of American Indian residents live in Carlin at 3% compared to 1% in Grand junction.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Carlin | Grand junction |
---|---|---|
Mental Health Not Good | 18.8% | 17.8% |
Physical Health Not Good | 13.0% | 11.8% |
Depression | 22.3% | 24.5% |
Smoking | 20.0% | 17.3% |
Binge Drinking | 17.6% | 19.2% |
Obesity | 34.7% | 29.2% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Carlin vs Grand junction
- More residents in Carlin report poor mental health at 18.8% compared to 17.8% in Grand junction.
- Higher depression rates are seen in Grand junction at 24.5% versus 22.3% in Carlin.
- Smoking is more prevalent in Carlin at 20.0% compared to 17.3% in Grand junction.
- More residents engage in binge drinking in Grand junction at 19.2% compared to 17.6% in Carlin.
- Obesity rates are higher in Carlin at 34.7% compared to 29.2% in Grand junction.
- There is a higher percentage of disabled individuals in Grand junction at 15.0% 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 | Carlin | Grand junction |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (245) |
High School Diploma | 23.7% (462) | 13.9% (9,476) |
Less than High School | 11.2% (219) | 9.7% (6,605) |
Bachelor's Degree and Higher | 10.8% (210) | 23.8% (16,201) |
Education Levels Comparison: Carlin vs Grand junction
- In Grand junction, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Carlin.
- A higher percentage of residents in Carlin hold a high school diploma at 23.7% compared to 13.9% in Grand junction.
- More residents in Carlin have less than a high school education at 11.2% compared to 9.7% in Grand junction.
- In Grand junction, a larger share of residents have a bachelor's degree or higher at 23.8% 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.