Demographics details for Laurinburg, NC vs East berlin, PA
Population Overview
Compare main population characteristics in Laurinburg, NC vs East berlin, PA.
Data | Laurinburg | East berlin |
---|---|---|
Population | 14,908 | 1,554 |
Median Age | 38.1 years | 41.9 years |
Median Income | $38,015 | $68,628 |
Married Families | 27.0% | 47.0% |
Poverty Level | 21% | 5% |
Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Laurinburg vs East berlin
- In Laurinburg, the population is higher at 14,908, compared to 1,554 in East berlin.
- The median age in East berlin is higher at 41.9 years, compared to 38.1 years in Laurinburg.
- East berlin has a higher median income of $68,628, compared to $38,015 in Laurinburg.
- In East berlin, the percentage of married families is higher at 47.0%, compared to 27.0% in Laurinburg.
- Laurinburg has a higher poverty level at 21% compared to 5% in East berlin.
- The unemployment rate in Laurinburg is higher at 5.2%, compared to 4.5% in East berlin.
Demographics
Demographics Laurinburg vs East berlin provide insight into the diversity of the communities to compare.
Demographic | Laurinburg | East berlin |
---|---|---|
Black | 49 | Data is updating |
White | 32 | 92 |
Asian | 1 | Data is updating |
Hispanic | 5 | 5 |
Two or More Races | 6 | 3 |
American Indian | 7 | Data is updating |
Demographics Comparison: Laurinburg vs East berlin
- A higher percentage of Black residents are in Laurinburg at 49% compared to 0% in East berlin.
- The percentage of White residents is higher in East berlin at 92% compared to 32% in Laurinburg.
- The Asian population is larger in Laurinburg at 1% compared to 0% in East berlin.
- The percentage of Hispanic residents is the same in both Laurinburg and East berlin at 5%.
- More residents identify as two or more races in Laurinburg at 6% compared to 3% in East berlin.
- A greater percentage of American Indian residents live in Laurinburg at 7% compared to 0% in East berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurinburg | East berlin |
---|---|---|
Mental Health Not Good | 19.5% | 16.9% |
Physical Health Not Good | 14.7% | 11.1% |
Depression | 23.8% | 24.1% |
Smoking | 23.7% | 18.8% |
Binge Drinking | 14.0% | 19.2% |
Obesity | 44.9% | 36.9% |
Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Laurinburg vs East berlin
- More residents in Laurinburg report poor mental health at 19.5% compared to 16.9% in East berlin.
- Higher depression rates are seen in East berlin at 24.1% versus 23.8% in Laurinburg.
- Smoking is more prevalent in Laurinburg at 23.7% compared to 18.8% in East berlin.
- More residents engage in binge drinking in East berlin at 19.2% compared to 14.0% in Laurinburg.
- Obesity rates are higher in Laurinburg at 44.9% compared to 36.9% in East berlin.
- Disability percentages are higher in Laurinburg at 17.0% compared to 12.0% in East berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurinburg | East berlin |
---|---|---|
No Schooling | 0.5% (75) | 2.1% (32) |
High School Diploma | 18.8% (2,799) | 26.2% (407) |
Less than High School | 13.6% (2,024) | 16.5% (257) |
Bachelor's Degree and Higher | 12.2% (1,826) | 17.5% (272) |
Education Levels Comparison: Laurinburg vs East berlin
- In East berlin, a larger percentage of residents lack formal schooling at 2.1% compared to 0.5% in Laurinburg.
- In East berlin, the rate of residents with high school diplomas is higher at 26.2% compared to 18.8% in Laurinburg.
- The percentage of residents with less than a high school education is higher in East berlin at 16.5%, compared to 13.6% in Laurinburg.
- In East berlin, a larger share of residents have a bachelor's degree or higher at 17.5% compared to 12.2% in Laurinburg.
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.