Demographics details for Martin, SD vs Westminster, CO
Population Overview
Compare main population characteristics in Martin, SD vs Westminster, CO.
| Data | Martin | Westminster |
|---|---|---|
| Population | 937 | 114,533 |
| Median Age | 34.5 years | 37.4 years |
| Median Income | $47,692 | $90,651 |
| Married Families | 25.0% | 41.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.0 | 4.1 |
Population Comparison: Martin vs Westminster
- The population in Westminster is higher at 114,533, compared to 937 in Martin.
- The median age in Westminster is higher at 37.4 years, compared to 34.5 years in Martin.
- Westminster has a higher median income of $90,651, compared to $47,692 in Martin.
- In Westminster, the percentage of married families is higher at 41.0%, compared to 25.0% in Martin.
- Martin has a higher poverty level at 12% compared to 9% in Westminster.
- Westminster has a higher unemployment rate at 4.1% compared to 3.0% in Martin.
Demographics
Demographics Martin vs Westminster provide insight into the diversity of the communities to compare.
| Demographic | Martin | Westminster |
|---|---|---|
| Black | Data is updating | 1 |
| White | 42 | 58 |
| Asian | 5 | 5 |
| Hispanic | 15 | 24 |
| Two or More Races | 5 | 11 |
| American Indian | 33 | 1 |
Demographics Comparison: Martin vs Westminster
- In Westminster, the percentage of Black residents is higher at 1% compared to 0% in Martin.
- The percentage of White residents is higher in Westminster at 58% compared to 42% in Martin.
- Both Martin and Westminster have the same percentage of Asian residents at 5%.
- Westminster has a higher percentage of Hispanic residents at 24%, compared to 15% in Martin.
- The percentage of residents identifying as two or more races is higher in Westminster at 11%, compared to 5% in Martin.
- A greater percentage of American Indian residents live in Martin at 33% compared to 1% in Westminster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martin | Westminster |
|---|---|---|
| Mental Health Not Good | 17.2% | 14.2% |
| Physical Health Not Good | 14.0% | 9.6% |
| Depression | 17.0% | 21.1% |
| Smoking | 27.5% | 13.5% |
| Binge Drinking | 18.6% | 21.5% |
| Obesity | 42.1% | 26.9% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Martin vs Westminster
- More residents in Martin report poor mental health at 17.2% compared to 14.2% in Westminster.
- Higher depression rates are seen in Westminster at 21.1% versus 17.0% in Martin.
- Smoking is more prevalent in Martin at 27.5% compared to 13.5% in Westminster.
- More residents engage in binge drinking in Westminster at 21.5% compared to 18.6% in Martin.
- Obesity rates are higher in Martin at 42.1% compared to 26.9% in Westminster.
- Disability percentages are higher in Martin at 17.0% compared to 11.0% in Westminster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martin | Westminster |
|---|---|---|
| No Schooling | 0.9% (8) | 0.9% (1,007) |
| High School Diploma | 17.0% (159) | 11.9% (13,626) |
| Less than High School | 3.2% (30) | 10.3% (11,853) |
| Bachelor's Degree and Higher | 22.5% (211) | 30.3% (34,676) |
Education Levels Comparison: Martin vs Westminster
- The percentage of residents with no formal schooling is the same in both Martin and Westminster at 0.9%.
- A higher percentage of residents in Martin hold a high school diploma at 17.0% compared to 11.9% in Westminster.
- The percentage of residents with less than a high school education is higher in Westminster at 10.3%, compared to 3.2% in Martin.
- In Westminster, a larger share of residents have a bachelor's degree or higher at 30.3% compared to 22.5% in Martin.
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.