Demographics details for Golden city, MO vs Central point, OR

Population Overview

Compare main population characteristics in Golden city, MO vs Central point, OR.

Data Golden city Central point
Population 654 19,222
Median Age 55.0 years 40.3 years
Median Income $37,679 $79,731
Married Families 37.0% 45.0%
Poverty Level 10% 10%
Unemployment Rate 3.5 4.5

Population Comparison: Golden city vs Central point

  • The population in Central point is higher at 19,222, compared to 654 in Golden city.
  • Residents in Golden city have a higher median age of 55.0 years compared to 40.3 years in Central point.
  • Central point has a higher median income of $79,731, compared to $37,679 in Golden city.
  • In Central point, the percentage of married families is higher at 45.0%, compared to 37.0% in Golden city.
  • The poverty level is identical in both Golden city and Central point at 10%.
  • Central point has a higher unemployment rate at 4.5% compared to 3.5% in Golden city.

Demographics

Demographics Golden city vs Central point provide insight into the diversity of the communities to compare.

Demographic Golden city Central point
Black Data is updating Data is updating
White 89 76
Asian Data is updating 1
Hispanic 3 15
Two or More Races 6 7
American Indian 2 1

Demographics Comparison: Golden city vs Central point

  • The percentage of Black residents is the same in both Golden city and Central point at 0%.
  • Golden city has a higher percentage of White residents at 89% compared to 76% in Central point.
  • In Central point, the Asian population stands at 1%, greater than 0% in Golden city.
  • Central point has a higher percentage of Hispanic residents at 15%, compared to 3% in Golden city.
  • The percentage of residents identifying as two or more races is higher in Central point at 7%, compared to 6% in Golden city.
  • A greater percentage of American Indian residents live in Golden city at 2% compared to 1% in Central point.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Golden city Central point
Mental Health Not Good 18.3% 19.4%
Physical Health Not Good 13.3% 12.0%
Depression 25.1% 29.4%
Smoking 22.9% 16.7%
Binge Drinking 18.0% 16.5%
Obesity 40.9% 30.1%
Disability Percentage 24.0% 11.0%

Health Statistics Comparison: Golden city vs Central point

  • In Central point, a higher percentage report poor mental health at 19.4% compared to 18.3% in Golden city.
  • Higher depression rates are seen in Central point at 29.4% versus 25.1% in Golden city.
  • Smoking is more prevalent in Golden city at 22.9% compared to 16.7% in Central point.
  • Binge drinking is more common in Golden city at 18.0% compared to 16.5% in Central point.
  • Obesity rates are higher in Golden city at 40.9% compared to 30.1% in Central point.
  • Disability percentages are higher in Golden city at 24.0% compared to 11.0% in Central point.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Golden city Central point
No Schooling 2.6% (17) 1.7% (319)
High School Diploma 30.6% (200) 16.1% (3,095)
Less than High School 17.6% (115) 13.2% (2,530)
Bachelor's Degree and Higher 12.8% (84) 15.6% (3,003)

Education Levels Comparison: Golden city vs Central point

  • A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 1.7% in Central point.
  • A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 16.1% in Central point.
  • More residents in Golden city have less than a high school education at 17.6% compared to 13.2% in Central point.
  • In Central point, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 12.8% in Golden city.

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.