Spring Park is a very small city located in the state of Minnesota. With a population of 1,734 people and just one neighborhood, Spring Park is the 342nd largest community in Minnesota.
Spring Park home prices are not only among the most expensive in Minnesota, but Spring Park real estate also consistently ranks among the most expensive in America.
Unlike some cities, Spring Park isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Spring Park are a mix of both white- and blue-collar jobs. Overall, Spring Park is a city of service providers, sales and office workers, and managers. There are especially a lot of people living in Spring Park who work in healthcare suport services (17.45%), sales jobs (13.84%), and management occupations (9.31%).
Also of interest is that Spring Park has more people living here who work in computers and math than 95% of the places in the US.
Spring Park is a small city, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
The overall education level of Spring Park is somewhat higher than in the average US city of 21.84%: 26.97% of adults 25 and older in the city have at least a bachelor's degree.
The per capita income in Spring Park in 2018 was $48,612, which is wealthy relative to Minnesota and the nation. This equates to an annual income of $194,448 for a family of four. However, Spring Park contains both very wealthy and poor people as well.
Spring Park is a somewhat ethnically-diverse city. The people who call Spring Park home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Spring Park residents report their race to be White, followed by Black or African-American. Important ancestries of people in Spring Park include German, Norwegian, Swedish, English, and Irish.
The most common language spoken in Spring Park is English. Other important languages spoken here include Polish and Tagalog.
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: 2020 (latest available). Updated annually. Please note: Unemployment data updated February 2022.
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 2020 calendar year; released from FBI in Sept. 2021 (latest available). Updated annually. Where is 2021 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 MN* | Quality Rating Compared to Nation* |
---|---|---|---|
Grandview Middle School
1881 Commerce Blvd Mound, MN 55364 |
05-07 | ||
Hilltop Primary School
5700 Game Farm Rd Minnetrista, MN 55364 |
KG-04 | ||
Mound Westonka High School
5905 Sunnyfield Rd E Minnetrista, MN 55364 |
08-12 | ||
Shirley Hills Primary School
2450 Wilshire Blvd Mound, MN 55364 |
KG-04 | ||
Orono Senior High School
795 Old Crystal Bay Rd N Long Lake, MN 55356 |
09-12 | ||
Orono Middle School
800 Old Crystal Bay Rd N Long Lake, MN 55356 |
06-08 | ||
Schumann Elementary School
765 Old Crystal Bay Rd N Long Lake, MN 55356 |
PK-02 | ||
Orono Intermediate Elementary School
685 Old Crystal Bay Rd N Long Lake, MN 55356 |
03-05 | ||
* 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 | 5.6% | 35.8% |
FREE LUNCH ELIGIBLE | 4.5% | 27.2% |
REDUCED LUNCH ELIGIBLE | 1.2% | 8.6% |
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 | 14.4% | 35.8% |
FREE LUNCH ELIGIBLE | 10.2% | 27.2% |
REDUCED LUNCH ELIGIBLE | 4.2% | 8.6% |
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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