Demographics details for Ogema, WI vs Laurel, MS
Population Overview
Compare main population characteristics in Ogema, WI vs Laurel, MS.
| Data | Ogema | Laurel |
|---|---|---|
| Population | 684 | 17,066 |
| Median Age | 35.0 years | 37.6 years |
| Median Income | $55,000 | $36,336 |
| Married Families | 40.0% | 29.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 3.0 | 5.4 |
Population Comparison: Ogema vs Laurel
- The population in Laurel is higher at 17,066, compared to 684 in Ogema.
- The median age in Laurel is higher at 37.6 years, compared to 35.0 years in Ogema.
- Ogema has a higher median income of $55,000 compared to $36,336 in Laurel.
- A higher percentage of married families is found in Ogema at 40.0% compared to 29.0% in Laurel.
- The poverty level is higher in Laurel at 20%, compared to 5% in Ogema.
- Laurel has a higher unemployment rate at 5.4% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Laurel provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Laurel |
|---|---|---|
| Black | 1 | 66 |
| White | 96 | 28 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 4 |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ogema vs Laurel
- In Laurel, the percentage of Black residents is higher at 66% compared to 1% in Ogema.
- Ogema has a higher percentage of White residents at 96% compared to 28% in Laurel.
- Both Ogema and Laurel have the same percentage of Asian residents at 0%.
- Laurel has a higher percentage of Hispanic residents at 4%, compared to 2% in Ogema.
- Both Ogema and Laurel have the same percentage of residents identifying as two or more races at 1%.
- In Laurel, the percentage of American Indian residents is higher at 1%, compared to 0% in Ogema.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Laurel |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.9% |
| Physical Health Not Good | Data is updating% | 14.9% |
| Depression | Data is updating% | 21.8% |
| Smoking | Data is updating% | 23.1% |
| Binge Drinking | Data is updating% | 11.6% |
| Obesity | Data is updating% | 44.5% |
| Disability Percentage | Data is updating% | 18.0% |
Health Statistics Comparison: Ogema vs Laurel
- In Laurel, a higher percentage report poor mental health at 17.9% compared to 0.0% in Ogema.
- Higher depression rates are seen in Laurel at 21.8% versus 0.0% in Ogema.
- Laurel has a higher smoking rate at 23.1% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Laurel at 11.6% compared to 0.0% in Ogema.
- Laurel has higher obesity rates at 44.5% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Laurel at 18.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Laurel |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (124) |
| High School Diploma | 0.0% (Data is updating) | 17.3% (2,956) |
| Less than High School | 0.0% (Data is updating) | 17.5% (2,979) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.6% (2,485) |
Education Levels Comparison: Ogema vs Laurel
- In Laurel, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Ogema.
- In Laurel, the rate of residents with high school diplomas is higher at 17.3% compared to 0.0% in Ogema.
- The percentage of residents with less than a high school education is higher in Laurel at 17.5%, compared to 0.0% in Ogema.
- In Laurel, a larger share of residents have a bachelor's degree or higher at 14.6% compared to 0.0% in Ogema.
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.