Demographics details for Niobrara, NE vs Fishing creek, MD

Population Overview

Compare main population characteristics in Niobrara, NE vs Fishing creek, MD.

Data Niobrara Fishing creek
Population 363 235
Median Age 55.1 years 55.9 years
Median Income $37,452 $76,250
Married Families 39.0% 58.0%
Poverty Level 10% Data is updating
Unemployment Rate 2.5 3.5

Population Comparison: Niobrara vs Fishing creek

  • In Niobrara, the population is higher at 363, compared to 235 in Fishing creek.
  • The median age in Fishing creek is higher at 55.9 years, compared to 55.1 years in Niobrara.
  • Fishing creek has a higher median income of $76,250, compared to $37,452 in Niobrara.
  • In Fishing creek, the percentage of married families is higher at 58.0%, compared to 39.0% in Niobrara.
  • Niobrara has a higher poverty level at 10% compared to 0% in Fishing creek.
  • Fishing creek has a higher unemployment rate at 3.5% compared to 2.5% in Niobrara.

Demographics

Demographics Niobrara vs Fishing creek provide insight into the diversity of the communities to compare.

Demographic Niobrara Fishing creek
Black Data is updating Data is updating
White 91 100
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races 2 Data is updating
American Indian 7 Data is updating

Demographics Comparison: Niobrara vs Fishing creek

  • The percentage of Black residents is the same in both Niobrara and Fishing creek at 0%.
  • The percentage of White residents is higher in Fishing creek at 100% compared to 91% in Niobrara.
  • Both Niobrara and Fishing creek have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Niobrara and Fishing creek at 0%.
  • More residents identify as two or more races in Niobrara at 2% compared to 0% in Fishing creek.
  • A greater percentage of American Indian residents live in Niobrara at 7% compared to 0% in Fishing creek.

Health Statistics

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

Health Metric Niobrara Fishing creek
Mental Health Not Good 14.3% 15.3%
Physical Health Not Good 10.1% 9.6%
Depression 17.7% 21.2%
Smoking 18.2% 15.1%
Binge Drinking 21.6% 16.8%
Obesity 40.5% 33.1%
Disability Percentage 17.0% 28.0%

Health Statistics Comparison: Niobrara vs Fishing creek

  • In Fishing creek, a higher percentage report poor mental health at 15.3% compared to 14.3% in Niobrara.
  • Higher depression rates are seen in Fishing creek at 21.2% versus 17.7% in Niobrara.
  • Smoking is more prevalent in Niobrara at 18.2% compared to 15.1% in Fishing creek.
  • Binge drinking is more common in Niobrara at 21.6% compared to 16.8% in Fishing creek.
  • Obesity rates are higher in Niobrara at 40.5% compared to 33.1% in Fishing creek.
  • There is a higher percentage of disabled individuals in Fishing creek at 28.0% compared to 17.0% in Niobrara.

Education Levels

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

Education Level Niobrara Fishing creek
No Schooling 0.3% (1) 0.0% (Data is updating)
High School Diploma 26.2% (95) 34.5% (81)
Less than High School 11.3% (41) 0.0% (Data is updating)
Bachelor's Degree and Higher 14.3% (52) 16.2% (38)

Education Levels Comparison: Niobrara vs Fishing creek

  • A higher percentage of residents in Niobrara have no formal schooling at 0.3% compared to 0.0% in Fishing creek.
  • In Fishing creek, the rate of residents with high school diplomas is higher at 34.5% compared to 26.2% in Niobrara.
  • More residents in Niobrara have less than a high school education at 11.3% compared to 0.0% in Fishing creek.
  • In Fishing creek, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 14.3% in Niobrara.

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.