Demographics details for New albin, IA vs Jefferson city, MO

Population Overview

Compare main population characteristics in New albin, IA vs Jefferson city, MO.

Data New albin Jefferson city
Population 427 42,528
Median Age 40.6 years 38.5 years
Median Income $56,453 $63,649
Married Families 46.0% 37.0%
Poverty Level 10% 11%
Unemployment Rate 2.5 3.9

Population Comparison: New albin vs Jefferson city

  • The population in Jefferson city is higher at 42,528, compared to 427 in New albin.
  • Residents in New albin have a higher median age of 40.6 years compared to 38.5 years in Jefferson city.
  • Jefferson city has a higher median income of $63,649, compared to $56,453 in New albin.
  • A higher percentage of married families is found in New albin at 46.0% compared to 37.0% in Jefferson city.
  • The poverty level is higher in Jefferson city at 11%, compared to 10% in New albin.
  • Jefferson city has a higher unemployment rate at 3.9% compared to 2.5% in New albin.

Demographics

Demographics New albin vs Jefferson city provide insight into the diversity of the communities to compare.

Demographic New albin Jefferson city
Black Data is updating 18
White 99 72
Asian Data is updating 3
Hispanic 1 3
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: New albin vs Jefferson city

  • In Jefferson city, the percentage of Black residents is higher at 18% compared to 0% in New albin.
  • New albin has a higher percentage of White residents at 99% compared to 72% in Jefferson city.
  • In Jefferson city, the Asian population stands at 3%, greater than 0% in New albin.
  • Jefferson city has a higher percentage of Hispanic residents at 3%, compared to 1% in New albin.
  • The percentage of residents identifying as two or more races is higher in Jefferson city at 4%, compared to 0% in New albin.
  • The percentage of American Indian residents is the same in both New albin and Jefferson city at 0%.

Health Statistics

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

Health Metric New albin Jefferson city
Mental Health Not Good 15.5% 17.1%
Physical Health Not Good 9.9% 11.6%
Depression 18.6% 22.6%
Smoking 17.9% 18.6%
Binge Drinking 21.9% 16.9%
Obesity 34.9% 37.4%
Disability Percentage 20.0% 11.0%

Health Statistics Comparison: New albin vs Jefferson city

  • In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 15.5% in New albin.
  • Higher depression rates are seen in Jefferson city at 22.6% versus 18.6% in New albin.
  • Jefferson city has a higher smoking rate at 18.6% compared to 17.9% in New albin.
  • Binge drinking is more common in New albin at 21.9% compared to 16.9% in Jefferson city.
  • Jefferson city has higher obesity rates at 37.4% compared to 34.9% in New albin.
  • Disability percentages are higher in New albin at 20.0% compared to 11.0% in Jefferson city.

Education Levels

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

Education Level New albin Jefferson city
No Schooling 0.0% (Data is updating) 0.5% (233)
High School Diploma 25.8% (110) 15.9% (6,767)
Less than High School 3.7% (16) 11.0% (4,659)
Bachelor's Degree and Higher 6.1% (26) 24.8% (10,543)

Education Levels Comparison: New albin vs Jefferson city

  • In Jefferson city, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in New albin.
  • A higher percentage of residents in New albin hold a high school diploma at 25.8% compared to 15.9% in Jefferson city.
  • The percentage of residents with less than a high school education is higher in Jefferson city at 11.0%, compared to 3.7% in New albin.
  • In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 6.1% in New albin.

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.