North Sioux City is a very small city located in the state of South Dakota. With a population of 2,928 people and just one neighborhood, North Sioux City is the 29th largest community in South Dakota.
North Sioux City real estate is some of the most expensive in South Dakota, although North Sioux City house values don't compare to the most expensive real estate in the U.S.
Unlike some cities where white-collar or blue-collar occupations dominate the local economy, North Sioux City is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, North Sioux City is a city of sales and office workers, service providers, and managers. There are especially a lot of people living in North Sioux City who work in office and administrative support (15.36%), sales jobs (12.14%), and management occupations (11.74%).
Compared to the rest of the country, citizens of North Sioux City spend much less time in their cars: on average, their commute to work is only 18.13 minutes. This also means that noise and pollution levels in the city are less than they would otherwise be.
The education level of North Sioux City citizens is a little higher than the average for US cities and towns: 21.89% of adults in North Sioux City have at least a bachelor's degree.
The per capita income in North Sioux City in 2018 was $31,600, which is wealthy relative to South Dakota, and upper middle income relative to the rest of the US. This equates to an annual income of $126,400 for a family of four. However, North Sioux City contains both very wealthy and poor people as well.
The people who call North Sioux City home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of North Sioux City residents report their race to be White, followed by Native American. Important ancestries of people in North Sioux City include German, English, Irish, Norwegian, and Dutch.
The most common language spoken in North Sioux City is English. Other important languages spoken here include Italian and Polish.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
School Details | Grades | Quality Rating Compared to SD* | Quality Rating Compared to Nation* |
---|---|---|---|
Dakota Valley Elementary 02 School
80 Northshore Dr North Sioux City, SD 57049 |
KG-03 | ||
Dakota Valley High School 01
1150 Northshore Dr North Sioux City, SD 57049 |
09-12 | ||
Dakota Valley Middle School 03
1150 Northshore Dr North Sioux City, SD 57049 |
06-08 | ||
Dakota Valley Upper Elementary 04 School
1150 Northshore Dr North Sioux City, SD 57049 |
04-05 | ||
Elk Point-Jefferson Elementary 02 School
500 S Franklin St Elk Point, SD 57025 |
KG-05 | ||
Elk Point-Jefferson High School 01
402 S Douglas St Elk Point, SD 57025 |
09-12 | ||
Elk Point-Jefferson Middle School 03
402 S Douglas St Elk Point, SD 57025 |
06-08 | ||
* 10 is highest |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | 14.8% | 40.2% |
FREE LUNCH ELIGIBLE | 11.2% | 33.9% |
REDUCED LUNCH ELIGIBLE | 3.5% | 6.3% |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | 20.8% | 40.2% |
FREE LUNCH ELIGIBLE | 13.3% | 33.9% |
REDUCED LUNCH ELIGIBLE | 7.5% | 6.3% |
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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