Demographics details for Kings mountain, NC vs Dublin, CA
Population Overview
Compare main population characteristics in Kings mountain, NC vs Dublin, CA.
| Data | Kings mountain | Dublin |
|---|---|---|
| Population | 11,638 | 72,060 |
| Median Age | 41.5 years | 37.1 years |
| Median Income | $45,301 | $191,039 |
| Married Families | 24.0% | 47.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Kings mountain vs Dublin
- The population in Dublin is higher at 72,060, compared to 11,638 in Kings mountain.
- Residents in Kings mountain have a higher median age of 41.5 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $45,301 in Kings mountain.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 24.0% in Kings mountain.
- Kings mountain has a higher poverty level at 11% compared to 5% in Dublin.
- Dublin has a higher unemployment rate at 4.3% compared to 4.2% in Kings mountain.
Demographics
Demographics Kings mountain vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Kings mountain | Dublin |
|---|---|---|
| Black | 25 | 4 |
| White | 68 | 23 |
| Asian | 2 | 53 |
| Hispanic | 2 | 10 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kings mountain vs Dublin
- A higher percentage of Black residents are in Kings mountain at 25% compared to 4% in Dublin.
- Kings mountain has a higher percentage of White residents at 68% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 2% in Kings mountain.
- Dublin has a higher percentage of Hispanic residents at 10%, compared to 2% in Kings mountain.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 3% in Kings mountain.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Kings mountain.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kings mountain | Dublin |
|---|---|---|
| Mental Health Not Good | 18.3% | 12.8% |
| Physical Health Not Good | 13.1% | 7.3% |
| Depression | 25.7% | 16.2% |
| Smoking | 20.9% | 7.4% |
| Binge Drinking | 16.3% | 16.8% |
| Obesity | 38.0% | 23.6% |
| Disability Percentage | 14.0% | 6.0% |
Health Statistics Comparison: Kings mountain vs Dublin
- More residents in Kings mountain report poor mental health at 18.3% compared to 12.8% in Dublin.
- Depression is more prevalent in Kings mountain at 25.7% compared to 16.2% in Dublin.
- Smoking is more prevalent in Kings mountain at 20.9% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Dublin at 16.8% compared to 16.3% in Kings mountain.
- Obesity rates are higher in Kings mountain at 38.0% compared to 23.6% in Dublin.
- Disability percentages are higher in Kings mountain at 14.0% compared to 6.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kings mountain | Dublin |
|---|---|---|
| No Schooling | 0.4% (43) | 0.6% (461) |
| High School Diploma | 21.7% (2,528) | 5.9% (4,230) |
| Less than High School | 17.8% (2,071) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 11.6% (1,353) | 46.5% (33,513) |
Education Levels Comparison: Kings mountain vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Kings mountain.
- A higher percentage of residents in Kings mountain hold a high school diploma at 21.7% compared to 5.9% in Dublin.
- More residents in Kings mountain have less than a high school education at 17.8% compared to 4.3% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 11.6% in Kings mountain.
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.