Demographics details for Keiser, AR vs Grand junction, CO
Population Overview
Compare main population characteristics in Keiser, AR vs Grand junction, CO.
Data | Keiser | Grand junction |
---|---|---|
Population | 713 | 68,034 |
Median Age | 41.6 years | 39.9 years |
Median Income | $50,136 | $62,993 |
Married Families | 35.0% | 35.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Keiser vs Grand junction
- The population in Grand junction is higher at 68,034, compared to 713 in Keiser.
- Residents in Keiser have a higher median age of 41.6 years compared to 39.9 years in Grand junction.
- Grand junction has a higher median income of $62,993, compared to $50,136 in Keiser.
- The percentage of married families is the same in both Keiser and Grand junction at 35.0%.
- Keiser has a higher poverty level at 12% compared to 10% in Grand junction.
- Grand junction has a higher unemployment rate at 4.7% compared to 3.5% in Keiser.
Demographics
Demographics Keiser vs Grand junction provide insight into the diversity of the communities to compare.
Demographic | Keiser | Grand junction |
---|---|---|
Black | 4 | 1 |
White | 83 | 73 |
Asian | Data is updating | 1 |
Hispanic | 1 | 16 |
Two or More Races | 12 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Keiser vs Grand junction
- A higher percentage of Black residents are in Keiser at 4% compared to 1% in Grand junction.
- Keiser has a higher percentage of White residents at 83% compared to 73% in Grand junction.
- In Grand junction, the Asian population stands at 1%, greater than 0% in Keiser.
- Grand junction has a higher percentage of Hispanic residents at 16%, compared to 1% in Keiser.
- More residents identify as two or more races in Keiser at 12% compared to 8% in Grand junction.
- In Grand junction, the percentage of American Indian residents is higher at 1%, compared to 0% in Keiser.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keiser | Grand junction |
---|---|---|
Mental Health Not Good | 20.3% | 17.8% |
Physical Health Not Good | 14.6% | 11.8% |
Depression | 28.9% | 24.5% |
Smoking | 24.9% | 17.3% |
Binge Drinking | 15.2% | 19.2% |
Obesity | 34.9% | 29.2% |
Disability Percentage | 27.0% | 15.0% |
Health Statistics Comparison: Keiser vs Grand junction
- More residents in Keiser report poor mental health at 20.3% compared to 17.8% in Grand junction.
- Depression is more prevalent in Keiser at 28.9% compared to 24.5% in Grand junction.
- Smoking is more prevalent in Keiser at 24.9% compared to 17.3% in Grand junction.
- More residents engage in binge drinking in Grand junction at 19.2% compared to 15.2% in Keiser.
- Obesity rates are higher in Keiser at 34.9% compared to 29.2% in Grand junction.
- Disability percentages are higher in Keiser at 27.0% compared to 15.0% in Grand junction.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Keiser | Grand junction |
---|---|---|
No Schooling | 6.2% (44) | 0.4% (245) |
High School Diploma | 15.0% (107) | 13.9% (9,476) |
Less than High School | 55.5% (396) | 9.7% (6,605) |
Bachelor's Degree and Higher | 7.3% (52) | 23.8% (16,201) |
Education Levels Comparison: Keiser vs Grand junction
- A higher percentage of residents in Keiser have no formal schooling at 6.2% compared to 0.4% in Grand junction.
- A higher percentage of residents in Keiser hold a high school diploma at 15.0% compared to 13.9% in Grand junction.
- More residents in Keiser have less than a high school education at 55.5% compared to 9.7% in Grand junction.
- In Grand junction, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 7.3% in Keiser.
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.