Demographics details for Washta, IA vs Laurinburg, NC
Population Overview
Compare main population characteristics in Washta, IA vs Laurinburg, NC.
Data | Washta | Laurinburg |
---|---|---|
Population | 205 | 14,908 |
Median Age | 59.3 years | 38.1 years |
Median Income | $49,500 | $38,015 |
Married Families | 32.0% | 27.0% |
Poverty Level | 6% | 21% |
Unemployment Rate | 2.3 | 5.2 |
Population Comparison: Washta vs Laurinburg
- The population in Laurinburg is higher at 14,908, compared to 205 in Washta.
- Residents in Washta have a higher median age of 59.3 years compared to 38.1 years in Laurinburg.
- Washta has a higher median income of $49,500 compared to $38,015 in Laurinburg.
- A higher percentage of married families is found in Washta at 32.0% compared to 27.0% in Laurinburg.
- The poverty level is higher in Laurinburg at 21%, compared to 6% in Washta.
- Laurinburg has a higher unemployment rate at 5.2% compared to 2.3% in Washta.
Demographics
Demographics Washta vs Laurinburg provide insight into the diversity of the communities to compare.
Demographic | Washta | Laurinburg |
---|---|---|
Black | Data is updating | 49 |
White | 94 | 32 |
Asian | Data is updating | 1 |
Hispanic | 4 | 5 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | 7 |
Demographics Comparison: Washta vs Laurinburg
- In Laurinburg, the percentage of Black residents is higher at 49% compared to 0% in Washta.
- Washta has a higher percentage of White residents at 94% compared to 32% in Laurinburg.
- In Laurinburg, the Asian population stands at 1%, greater than 0% in Washta.
- Laurinburg has a higher percentage of Hispanic residents at 5%, compared to 4% in Washta.
- The percentage of residents identifying as two or more races is higher in Laurinburg at 6%, compared to 2% in Washta.
- In Laurinburg, the percentage of American Indian residents is higher at 7%, compared to 0% in Washta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washta | Laurinburg |
---|---|---|
Mental Health Not Good | 15.6% | 19.5% |
Physical Health Not Good | 9.3% | 14.7% |
Depression | 19.0% | 23.8% |
Smoking | 16.8% | 23.7% |
Binge Drinking | 21.8% | 14.0% |
Obesity | 40.8% | 44.9% |
Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Washta vs Laurinburg
- In Laurinburg, a higher percentage report poor mental health at 19.5% compared to 15.6% in Washta.
- Higher depression rates are seen in Laurinburg at 23.8% versus 19.0% in Washta.
- Laurinburg has a higher smoking rate at 23.7% compared to 16.8% in Washta.
- Binge drinking is more common in Washta at 21.8% compared to 14.0% in Laurinburg.
- Laurinburg has higher obesity rates at 44.9% compared to 40.8% in Washta.
- Disability percentages are the same in both Washta and Laurinburg at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washta | Laurinburg |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (75) |
High School Diploma | 30.2% (62) | 18.8% (2,799) |
Less than High School | 17.6% (36) | 13.6% (2,024) |
Bachelor's Degree and Higher | 8.3% (17) | 12.2% (1,826) |
Education Levels Comparison: Washta vs Laurinburg
- In Laurinburg, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Washta.
- A higher percentage of residents in Washta hold a high school diploma at 30.2% compared to 18.8% in Laurinburg.
- More residents in Washta have less than a high school education at 17.6% compared to 13.6% in Laurinburg.
- In Laurinburg, a larger share of residents have a bachelor's degree or higher at 12.2% compared to 8.3% in Washta.
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.