Demographics details for Laurel, MT vs Post falls, ID
Population Overview
Compare main population characteristics in Laurel, MT vs Post falls, ID.
Data | Laurel | Post falls |
---|---|---|
Population | 7,203 | 44,194 |
Median Age | 36.5 years | 34.5 years |
Median Income | $62,250 | $71,042 |
Married Families | 37.0% | 35.0% |
Poverty Level | 7% | 8% |
Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Laurel vs Post falls
- The population in Post falls is higher at 44,194, compared to 7,203 in Laurel.
- Residents in Laurel have a higher median age of 36.5 years compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042, compared to $62,250 in Laurel.
- A higher percentage of married families is found in Laurel at 37.0% compared to 35.0% in Post falls.
- The poverty level is higher in Post falls at 8%, compared to 7% in Laurel.
- Post falls has a higher unemployment rate at 3.7% compared to 3.5% in Laurel.
Demographics
Demographics Laurel vs Post falls provide insight into the diversity of the communities to compare.
Demographic | Laurel | Post falls |
---|---|---|
Black | Data is updating | Data is updating |
White | 83 | 87 |
Asian | 2 | Data is updating |
Hispanic | 7 | 5 |
Two or More Races | 7 | 7 |
American Indian | 1 | 1 |
Demographics Comparison: Laurel vs Post falls
- The percentage of Black residents is the same in both Laurel and Post falls at 0%.
- The percentage of White residents is higher in Post falls at 87% compared to 83% in Laurel.
- The Asian population is larger in Laurel at 2% compared to 0% in Post falls.
- The Hispanic community is larger in Laurel at 7% compared to 5% in Post falls.
- Both Laurel and Post falls have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Laurel and Post falls at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurel | Post falls |
---|---|---|
Mental Health Not Good | 16.4% | 16.9% |
Physical Health Not Good | 10.8% | 12.3% |
Depression | 27.8% | 22.9% |
Smoking | 15.8% | 18.6% |
Binge Drinking | 23.8% | 17.6% |
Obesity | 32.2% | 29.8% |
Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Laurel vs Post falls
- In Post falls, a higher percentage report poor mental health at 16.9% compared to 16.4% in Laurel.
- Depression is more prevalent in Laurel at 27.8% compared to 22.9% in Post falls.
- Post falls has a higher smoking rate at 18.6% compared to 15.8% in Laurel.
- Binge drinking is more common in Laurel at 23.8% compared to 17.6% in Post falls.
- Obesity rates are higher in Laurel at 32.2% compared to 29.8% in Post falls.
- Disability percentages are higher in Laurel at 13.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurel | Post falls |
---|---|---|
No Schooling | 0.2% (14) | 0.3% (121) |
High School Diploma | 21.7% (1,563) | 14.1% (6,217) |
Less than High School | 7.7% (556) | 7.7% (3,421) |
Bachelor's Degree and Higher | 10.8% (780) | 13.1% (5,799) |
Education Levels Comparison: Laurel vs Post falls
- In Post falls, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Laurel.
- A higher percentage of residents in Laurel hold a high school diploma at 21.7% compared to 14.1% in Post falls.
- Both cities report the same percentage of residents with less than a high school education at 7.7%.
- In Post falls, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 10.8% in Laurel.
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.