Demographics details for East berlin, PA vs Dalhart, TX
Population Overview
Compare main population characteristics in East berlin, PA vs Dalhart, TX.
| Data | East berlin | Dalhart |
|---|---|---|
| Population | 1,554 | 8,402 |
| Median Age | 41.9 years | 34.7 years |
| Median Income | $68,628 | $75,000 |
| Married Families | 47.0% | 46.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: East berlin vs Dalhart
- The population in Dalhart is higher at 8,402, compared to 1,554 in East berlin.
- Residents in East berlin have a higher median age of 41.9 years compared to 34.7 years in Dalhart.
- Dalhart has a higher median income of $75,000, compared to $68,628 in East berlin.
- A higher percentage of married families is found in East berlin at 47.0% compared to 46.0% in Dalhart.
- The poverty level is higher in Dalhart at 12%, compared to 5% in East berlin.
- The unemployment rate in East berlin is higher at 4.5%, compared to 3.5% in Dalhart.
Demographics
Demographics East berlin vs Dalhart provide insight into the diversity of the communities to compare.
| Demographic | East berlin | Dalhart |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 92 | 37 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 46 |
| Two or More Races | 3 | 15 |
| American Indian | Data is updating | 2 |
Demographics Comparison: East berlin vs Dalhart
- The percentage of Black residents is the same in both East berlin and Dalhart at 0%.
- East berlin has a higher percentage of White residents at 92% compared to 37% in Dalhart.
- Both East berlin and Dalhart have the same percentage of Asian residents at 0%.
- Dalhart has a higher percentage of Hispanic residents at 46%, compared to 5% in East berlin.
- The percentage of residents identifying as two or more races is higher in Dalhart at 15%, compared to 3% in East berlin.
- In Dalhart, the percentage of American Indian residents is higher at 2%, compared to 0% in East berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | East berlin | Dalhart |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.5% |
| Physical Health Not Good | 11.1% | 12.2% |
| Depression | 24.1% | 23.5% |
| Smoking | 18.8% | 17.8% |
| Binge Drinking | 19.2% | 18.9% |
| Obesity | 36.9% | 36.1% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: East berlin vs Dalhart
- In Dalhart, a higher percentage report poor mental health at 17.5% compared to 16.9% in East berlin.
- Depression is more prevalent in East berlin at 24.1% compared to 23.5% in Dalhart.
- Smoking is more prevalent in East berlin at 18.8% compared to 17.8% in Dalhart.
- Binge drinking is more common in East berlin at 19.2% compared to 18.9% in Dalhart.
- Obesity rates are higher in East berlin at 36.9% compared to 36.1% in Dalhart.
- Disability percentages are higher in East berlin at 12.0% compared to 11.0% in Dalhart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | East berlin | Dalhart |
|---|---|---|
| No Schooling | 2.1% (32) | 4.1% (348) |
| High School Diploma | 26.2% (407) | 20.8% (1,750) |
| Less than High School | 16.5% (257) | 19.2% (1,609) |
| Bachelor's Degree and Higher | 17.5% (272) | 13.0% (1,095) |
Education Levels Comparison: East berlin vs Dalhart
- In Dalhart, a larger percentage of residents lack formal schooling at 4.1% compared to 2.1% in East berlin.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 20.8% in Dalhart.
- The percentage of residents with less than a high school education is higher in Dalhart at 19.2%, compared to 16.5% in East berlin.
- A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 13.0% in Dalhart.
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.