Demographics details for Laurel, MT vs Sterling, OK
Population Overview
Compare main population characteristics in Laurel, MT vs Sterling, OK.
Data | Laurel | Sterling |
---|---|---|
Population | 7,203 | 678 |
Median Age | 36.5 years | 39.7 years |
Median Income | $62,250 | $64,464 |
Married Families | 37.0% | 47.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Laurel vs Sterling
- In Laurel, the population is higher at 7,203, compared to 678 in Sterling.
- The median age in Sterling is higher at 39.7 years, compared to 36.5 years in Laurel.
- Sterling has a higher median income of $64,464, compared to $62,250 in Laurel.
- In Sterling, the percentage of married families is higher at 47.0%, compared to 37.0% in Laurel.
- The poverty level is higher in Sterling at 12%, compared to 7% in Laurel.
- The unemployment rate is the same in both Laurel and Sterling at 3.5%.
Demographics
Demographics Laurel vs Sterling provide insight into the diversity of the communities to compare.
Demographic | Laurel | Sterling |
---|---|---|
Black | Data is updating | Data is updating |
White | 83 | 82 |
Asian | 2 | 1 |
Hispanic | 7 | 6 |
Two or More Races | 7 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Sterling
- The percentage of Black residents is the same in both Laurel and Sterling at 0%.
- Laurel has a higher percentage of White residents at 83% compared to 82% in Sterling.
- The Asian population is larger in Laurel at 2% compared to 1% in Sterling.
- The Hispanic community is larger in Laurel at 7% compared to 6% in Sterling.
- The percentage of residents identifying as two or more races is higher in Sterling at 11%, compared to 7% in Laurel.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Sterling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurel | Sterling |
---|---|---|
Mental Health Not Good | 16.4% | 17.9% |
Physical Health Not Good | 10.8% | 12.2% |
Depression | 27.8% | 28.2% |
Smoking | 15.8% | 20.1% |
Binge Drinking | 23.8% | 16.4% |
Obesity | 32.2% | 42.3% |
Disability Percentage | 13.0% | 40.0% |
Health Statistics Comparison: Laurel vs Sterling
- In Sterling, a higher percentage report poor mental health at 17.9% compared to 16.4% in Laurel.
- Higher depression rates are seen in Sterling at 28.2% versus 27.8% in Laurel.
- Sterling has a higher smoking rate at 20.1% compared to 15.8% in Laurel.
- Binge drinking is more common in Laurel at 23.8% compared to 16.4% in Sterling.
- Sterling has higher obesity rates at 42.3% compared to 32.2% in Laurel.
- There is a higher percentage of disabled individuals in Sterling at 40.0% compared to 13.0% in Laurel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurel | Sterling |
---|---|---|
No Schooling | 0.2% (14) | 0.0% (Data is updating) |
High School Diploma | 21.7% (1,563) | 45.0% (305) |
Less than High School | 7.7% (556) | 11.2% (76) |
Bachelor's Degree and Higher | 10.8% (780) | 6.5% (44) |
Education Levels Comparison: Laurel vs Sterling
- A higher percentage of residents in Laurel have no formal schooling at 0.2% compared to 0.0% in Sterling.
- In Sterling, the rate of residents with high school diplomas is higher at 45.0% compared to 21.7% in Laurel.
- The percentage of residents with less than a high school education is higher in Sterling at 11.2%, compared to 7.7% in Laurel.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 10.8% compared to 6.5% in Sterling.
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.