Demographics details for Harlowton, MT vs Ogema, WI
Population Overview
Compare main population characteristics in Harlowton, MT vs Ogema, WI.
| Data | Harlowton | Ogema |
|---|---|---|
| Population | 933 | 684 |
| Median Age | 50.7 years | 35.0 years |
| Median Income | $55,536 | $55,000 |
| Married Families | 50.0% | 40.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 3.0 | 3.0 |
Population Comparison: Harlowton vs Ogema
- In Harlowton, the population is higher at 933, compared to 684 in Ogema.
- Residents in Harlowton have a higher median age of 50.7 years compared to 35.0 years in Ogema.
- Harlowton has a higher median income of $55,536 compared to $55,000 in Ogema.
- A higher percentage of married families is found in Harlowton at 50.0% compared to 40.0% in Ogema.
- Harlowton has a higher poverty level at 15% compared to 5% in Ogema.
- The unemployment rate is the same in both Harlowton and Ogema at 3.0%.
Demographics
Demographics Harlowton vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Harlowton | Ogema |
|---|---|---|
| Black | Data is updating | 1 |
| White | 90 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 1 | 1 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Harlowton vs Ogema
- In Ogema, the percentage of Black residents is higher at 1% compared to 0% in Harlowton.
- The percentage of White residents is higher in Ogema at 96% compared to 90% in Harlowton.
- Both Harlowton and Ogema have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Harlowton at 5% compared to 2% in Ogema.
- Both Harlowton and Ogema have the same percentage of residents identifying as two or more races at 1%.
- A greater percentage of American Indian residents live in Harlowton at 4% compared to 0% in Ogema.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Harlowton | Ogema |
|---|---|---|
| Mental Health Not Good | 18.1% | Data is updating% |
| Physical Health Not Good | 12.9% | Data is updating% |
| Depression | 25.7% | Data is updating% |
| Smoking | 21.4% | Data is updating% |
| Binge Drinking | 21.7% | Data is updating% |
| Obesity | 36.0% | Data is updating% |
| Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Harlowton vs Ogema
- More residents in Harlowton report poor mental health at 18.1% compared to 0.0% in Ogema.
- Depression is more prevalent in Harlowton at 25.7% compared to 0.0% in Ogema.
- Smoking is more prevalent in Harlowton at 21.4% compared to 0.0% in Ogema.
- Binge drinking is more common in Harlowton at 21.7% compared to 0.0% in Ogema.
- Obesity rates are higher in Harlowton at 36.0% compared to 0.0% in Ogema.
- Disability percentages are higher in Harlowton at 16.0% 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 | Harlowton | Ogema |
|---|---|---|
| No Schooling | 0.5% (5) | 0.0% (Data is updating) |
| High School Diploma | 30.1% (281) | 0.0% (Data is updating) |
| Less than High School | 17.0% (159) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.6% (99) | 0.0% (Data is updating) |
Education Levels Comparison: Harlowton vs Ogema
- A higher percentage of residents in Harlowton have no formal schooling at 0.5% compared to 0.0% in Ogema.
- A higher percentage of residents in Harlowton hold a high school diploma at 30.1% compared to 0.0% in Ogema.
- More residents in Harlowton have less than a high school education at 17.0% compared to 0.0% in Ogema.
- A higher percentage of residents in Harlowton hold a bachelor's degree or higher at 10.6% 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.