Demographics details for Ingalls, MI vs Pampa, TX
Population Overview
Compare main population characteristics in Ingalls, MI vs Pampa, TX.
| Data | Ingalls | Pampa |
|---|---|---|
| Population | 150 | 16,612 |
| Median Age | 35.0 years | 35.5 years |
| Median Income | $60,000 | $52,966 |
| Married Families | 50.0% | 42.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 5.0 | 3.4 |
Population Comparison: Ingalls vs Pampa
- The population in Pampa is higher at 16,612, compared to 150 in Ingalls.
- The median age in Pampa is higher at 35.5 years, compared to 35.0 years in Ingalls.
- Ingalls has a higher median income of $60,000 compared to $52,966 in Pampa.
- A higher percentage of married families is found in Ingalls at 50.0% compared to 42.0% in Pampa.
- The poverty level is higher in Pampa at 14%, compared to 10% in Ingalls.
- The unemployment rate in Ingalls is higher at 5.0%, compared to 3.4% in Pampa.
Demographics
Demographics Ingalls vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Ingalls | Pampa |
|---|---|---|
| Black | Data is updating | 3 |
| White | 90 | 53 |
| Asian | 5 | 2 |
| Hispanic | Data is updating | 34 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ingalls vs Pampa
- In Pampa, the percentage of Black residents is higher at 3% compared to 0% in Ingalls.
- Ingalls has a higher percentage of White residents at 90% compared to 53% in Pampa.
- The Asian population is larger in Ingalls at 5% compared to 2% in Pampa.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 0% in Ingalls.
- The percentage of residents identifying as two or more races is higher in Pampa at 7%, compared to 5% in Ingalls.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Ingalls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ingalls | Pampa |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.5% |
| Physical Health Not Good | Data is updating% | 14.0% |
| Depression | Data is updating% | 25.4% |
| Smoking | Data is updating% | 21.1% |
| Binge Drinking | Data is updating% | 17.9% |
| Obesity | Data is updating% | 39.7% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Ingalls vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 0.0% in Ingalls.
- Higher depression rates are seen in Pampa at 25.4% versus 0.0% in Ingalls.
- Pampa has a higher smoking rate at 21.1% compared to 0.0% in Ingalls.
- More residents engage in binge drinking in Pampa at 17.9% compared to 0.0% in Ingalls.
- Pampa has higher obesity rates at 39.7% compared to 0.0% in Ingalls.
- There is a higher percentage of disabled individuals in Pampa at 12.0% compared to 0.0% in Ingalls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ingalls | Pampa |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (238) |
| High School Diploma | 0.0% (Data is updating) | 14.7% (2,443) |
| Less than High School | 0.0% (Data is updating) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.6% (1,757) |
Education Levels Comparison: Ingalls vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Ingalls.
- In Pampa, the rate of residents with high school diplomas is higher at 14.7% compared to 0.0% in Ingalls.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 0.0% in Ingalls.
- In Pampa, a larger share of residents have a bachelor's degree or higher at 10.6% compared to 0.0% in Ingalls.
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.