Demographics details for Sand coulee, MT vs Dublin, CA
Population Overview
Compare main population characteristics in Sand coulee, MT vs Dublin, CA.
Data | Sand coulee | Dublin |
---|---|---|
Population | 223 | 72,060 |
Median Age | 43.9 years | 37.1 years |
Median Income | $74,091 | $191,039 |
Married Families | 54.0% | 47.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 2.5 | 4.3 |
Population Comparison: Sand coulee vs Dublin
- The population in Dublin is higher at 72,060, compared to 223 in Sand coulee.
- Residents in Sand coulee have a higher median age of 43.9 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $74,091 in Sand coulee.
- A higher percentage of married families is found in Sand coulee at 54.0% compared to 47.0% in Dublin.
- Sand coulee has a higher poverty level at 7% compared to 5% in Dublin.
- Dublin has a higher unemployment rate at 4.3% compared to 2.5% in Sand coulee.
Demographics
Demographics Sand coulee vs Dublin provide insight into the diversity of the communities to compare.
Demographic | Sand coulee | Dublin |
---|---|---|
Black | Data is updating | 4 |
White | 83 | 23 |
Asian | 1 | 53 |
Hispanic | 8 | 10 |
Two or More Races | 8 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Sand coulee vs Dublin
- In Dublin, the percentage of Black residents is higher at 4% compared to 0% in Sand coulee.
- Sand coulee has a higher percentage of White residents at 83% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 1% in Sand coulee.
- Dublin has a higher percentage of Hispanic residents at 10%, compared to 8% in Sand coulee.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 8% in Sand coulee.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Sand coulee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sand coulee | Dublin |
---|---|---|
Mental Health Not Good | 16.3% | 12.8% |
Physical Health Not Good | 10.8% | 7.3% |
Depression | 24.3% | 16.2% |
Smoking | 17.5% | 7.4% |
Binge Drinking | 22.4% | 16.8% |
Obesity | 34.6% | 23.6% |
Disability Percentage | 9.0% | 6.0% |
Health Statistics Comparison: Sand coulee vs Dublin
- More residents in Sand coulee report poor mental health at 16.3% compared to 12.8% in Dublin.
- Depression is more prevalent in Sand coulee at 24.3% compared to 16.2% in Dublin.
- Smoking is more prevalent in Sand coulee at 17.5% compared to 7.4% in Dublin.
- Binge drinking is more common in Sand coulee at 22.4% compared to 16.8% in Dublin.
- Obesity rates are higher in Sand coulee at 34.6% compared to 23.6% in Dublin.
- Disability percentages are higher in Sand coulee at 9.0% 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 | Sand coulee | Dublin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (461) |
High School Diploma | 22.0% (49) | 5.9% (4,230) |
Less than High School | 16.1% (36) | 4.3% (3,081) |
Bachelor's Degree and Higher | 22.9% (51) | 46.5% (33,513) |
Education Levels Comparison: Sand coulee vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Sand coulee.
- A higher percentage of residents in Sand coulee hold a high school diploma at 22.0% compared to 5.9% in Dublin.
- More residents in Sand coulee have less than a high school education at 16.1% 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 22.9% in Sand coulee.
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.