Demographics details for Midland, TX vs Paterson, NJ
Population Overview
Compare main population characteristics in Midland, TX vs Paterson, NJ.
| Data | Midland | Paterson |
|---|---|---|
| Population | 134,444 | 156,661 |
| Median Age | 31.4 years | 33.1 years |
| Median Income | $90,448 | $52,092 |
| Married Families | 40.0% | 27.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 2.9 | 8.8 |
Population Comparison: Midland vs Paterson
- The population in Paterson is higher at 156,661, compared to 134,444 in Midland.
- The median age in Paterson is higher at 33.1 years, compared to 31.4 years in Midland.
- Midland has a higher median income of $90,448 compared to $52,092 in Paterson.
- A higher percentage of married families is found in Midland at 40.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 12% in Midland.
- Paterson has a higher unemployment rate at 8.8% compared to 2.9% in Midland.
Demographics
Demographics Midland vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Midland | Paterson |
|---|---|---|
| Black | 8 | 25 |
| White | 29 | Data is updating |
| Asian | 2 | 5 |
| Hispanic | 45 | 64 |
| Two or More Races | 15 | 17 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Midland vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 8% in Midland.
- Midland has a higher percentage of White residents at 29% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 2% in Midland.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 45% in Midland.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 15% in Midland.
- A greater percentage of American Indian residents live in Midland at 1% compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Midland | Paterson |
|---|---|---|
| Mental Health Not Good | 16.1% | 17.5% |
| Physical Health Not Good | 11.1% | 15.1% |
| Depression | 21.4% | 16.5% |
| Smoking | 15.0% | 17.7% |
| Binge Drinking | 18.6% | 13.9% |
| Obesity | 35.3% | 38.0% |
| Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Midland vs Paterson
- In Paterson, a higher percentage report poor mental health at 17.5% compared to 16.1% in Midland.
- Depression is more prevalent in Midland at 21.4% compared to 16.5% in Paterson.
- Paterson has a higher smoking rate at 17.7% compared to 15.0% in Midland.
- Binge drinking is more common in Midland at 18.6% compared to 13.9% in Paterson.
- Paterson has higher obesity rates at 38.0% compared to 35.3% in Midland.
- Disability percentages are higher in Midland at 9.0% compared to 7.0% in Paterson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Midland | Paterson |
|---|---|---|
| No Schooling | 2.8% (3,705) | 2.1% (3,278) |
| High School Diploma | 10.2% (13,724) | 25.1% (39,354) |
| Less than High School | 17.6% (23,705) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 19.5% (26,213) | 7.9% (12,450) |
Education Levels Comparison: Midland vs Paterson
- A higher percentage of residents in Midland have no formal schooling at 2.8% compared to 2.1% in Paterson.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 10.2% in Midland.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 17.6% in Midland.
- A higher percentage of residents in Midland hold a bachelor's degree or higher at 19.5% compared to 7.9% in Paterson.
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.