Demographics details for Longview, TX vs Ocean city, NJ
Population Overview
Compare main population characteristics in Longview, TX vs Ocean city, NJ.
Data | Longview | Ocean city |
---|---|---|
Population | 82,531 | 11,303 |
Median Age | 35.1 years | 56.9 years |
Median Income | $61,003 | $98,576 |
Married Families | 35.0% | 53.0% |
Poverty Level | 12% | Data is updating |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Longview vs Ocean city
- In Longview, the population is higher at 82,531, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 35.1 years in Longview.
- Ocean city has a higher median income of $98,576, compared to $61,003 in Longview.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 35.0% in Longview.
- Longview has a higher poverty level at 12% compared to 0% in Ocean city.
- The unemployment rate in Longview is higher at 5.0%, compared to 3.2% in Ocean city.
Demographics
Demographics Longview vs Ocean city provide insight into the diversity of the communities to compare.
Demographic | Longview | Ocean city |
---|---|---|
Black | 22 | 3 |
White | 45 | 86 |
Asian | 1 | Data is updating |
Hispanic | 20 | 8 |
Two or More Races | 12 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Longview vs Ocean city
- A higher percentage of Black residents are in Longview at 22% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 45% in Longview.
- The Asian population is larger in Longview at 1% compared to 0% in Ocean city.
- The Hispanic community is larger in Longview at 20% compared to 8% in Ocean city.
- More residents identify as two or more races in Longview at 12% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Longview and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Longview | Ocean city |
---|---|---|
Mental Health Not Good | 18.9% | 14.0% |
Physical Health Not Good | 13.3% | 8.7% |
Depression | 24.0% | 21.8% |
Smoking | 20.2% | 11.9% |
Binge Drinking | 16.7% | 20.3% |
Obesity | 40.2% | 29.8% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Longview vs Ocean city
- More residents in Longview report poor mental health at 18.9% compared to 14.0% in Ocean city.
- Depression is more prevalent in Longview at 24.0% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Longview at 20.2% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 16.7% in Longview.
- Obesity rates are higher in Longview at 40.2% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 12.0% in Longview.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Longview | Ocean city |
---|---|---|
No Schooling | 0.9% (723) | 0.4% (50) |
High School Diploma | 15.7% (12,952) | 16.9% (1,907) |
Less than High School | 15.7% (12,994) | 6.0% (676) |
Bachelor's Degree and Higher | 14.3% (11,827) | 43.6% (4,926) |
Education Levels Comparison: Longview vs Ocean city
- A higher percentage of residents in Longview have no formal schooling at 0.9% compared to 0.4% in Ocean city.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 15.7% in Longview.
- More residents in Longview have less than a high school education at 15.7% compared to 6.0% in Ocean city.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 14.3% in Longview.
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.