Watertown, SD (9th Ave SW / 33rd St SW)




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9th Ave SW / 33rd St SW

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640 Vital Statistics. 27 Condition Alerts found.

Real Estate alerts

Real Estate


44

Statistics

alerts 5 Alerts

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Demographics alerts

Demographics


136

Statistics

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Crimes alerts

Crimes


67

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Schools alerts

Schools


65

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alerts 7 Alerts

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328

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alerts 15 Alerts

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About Watertown, SD (9th Ave SW / 33rd St SW)


Real Estate Prices and Overview

9th Ave SW / 33rd St SW median real estate price is $40,599, which is less expensive than 98.8% of South Dakota neighborhoods and 98.8% of all U.S. neighborhoods.

The average rental price in 9th Ave SW / 33rd St SW is currently $944, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 74.2% of the neighborhoods in South Dakota.

9th Ave SW / 33rd St SW is a suburban neighborhood (based on population density) located in Watertown, South Dakota.

9th Ave SW / 33rd St SW real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) mobile homes and single-family homes. Most of the residential real estate is owner occupied. Many of the residences in the 9th Ave SW / 33rd St SW neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.

Real estate vacancies in 9th Ave SW / 33rd St SW are 4.6%, which is lower than one will find in 77.9% of American neighborhoods. Demand for real estate in 9th Ave SW / 33rd St SW is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.

Notable & Unique Neighborhood Characteristics

The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.

Notable & Unique: Real Estate

The 9th Ave SW / 33rd St SW neighborhood stands out for having the majority of its residential real estate made up of mobile homes. In fact, 60.0% of the occupied real estate here are mobile homes, which is a greater proportion than is found in 99.7% of the neighborhoods in the U.S. If you like mobile homes, this might be a great neighborhood in which to look for real estate.

Notable & Unique: Diversity

Did you know that the 9th Ave SW / 33rd St SW neighborhood has more Norwegian and German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 20.0% of this neighborhood's residents have Norwegian ancestry and 52.3% have German ancestry.

Notable & Unique: Length of Commute

Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The 9th Ave SW / 33rd St SW neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Residents of the 9th Ave SW / 33rd St SW neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 70.9% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 98.5% of U.S. neighborhoods. Less time commuting means more time for other things in life.


The Neighbors

The Neighbors: Income

There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.

The neighbors in the 9th Ave SW / 33rd St SW neighborhood in Watertown are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 42.0% of the neighborhoods in America. In addition, 6.3% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 73.6% of America's neighborhoods.

The Neighbors: Occupations

A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.

In the 9th Ave SW / 33rd St SW neighborhood, 36.2% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 28.0% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (17.5%), and 15.8% in executive, management, and professional occupations.

The Neighbors: Ethnicity / Ancestry

Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.

In the 9th Ave SW / 33rd St SW neighborhood in Watertown, SD, residents most commonly identify their ethnicity or ancestry as German (52.3%). There are also a number of people of Norwegian ancestry (20.0%), and residents who report Irish roots (14.4%), and some of the residents are also of English ancestry (4.4%), along with some French ancestry residents (4.1%), among others.

The Neighbors: Languages

The most common language spoken in the 9th Ave SW / 33rd St SW neighborhood is English, spoken by 97.0% of households.

Getting to Work

Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in 9th Ave SW / 33rd St SW neighborhood spend under 15 minutes commuting one-way to work (70.9% of working residents), one of the shortest commutes across America.

Here most residents (78.4%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (16.4%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.

Neighborhood Real Estate Data

Source & Methodology

Analytics built by:   Location, Inc.

Raw data sources:
  • Home Values, Rents: Federal Housing Finance Agency, U.S. Department of Housing and Urban Development.
  • Setting, Housing Stock, Homeownership: American Community Survey (U.S. Census Bureau), National Agriculture Statistics Service (U.S. Department of Agriculture).
Date(s) & Update Frequency:
  • Home Values, Rents: Reflects Q1 2017. Updated quarterly.
  • Setting, Housing Stock, Homeownership: 2015 (latest available). Updated annually.

Methodology:   NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more

44 Vital Statistics. 5 Condition Alerts found.

Average Home Values

 

Median Home Value:
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Median Real Estate Taxes:
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Neighborhood Home Prices

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years of average rent needed to buy average home in this neighborhood
years and months

Average Market Rent

 

Average Market Rent:
/ per month

MEDIAN MONTHLY RENT BY NUMBER OF BEDROOMS

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Setting

 
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Neighborhood Look and Feel

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Housing Market Details

 

AGE OF Watertown, SD (9th Ave SW / 33rd St SW) HOMES

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TYPE OF Watertown, SD (9th Ave SW / 33rd St SW) HOMES

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SIZE OF Watertown, SD (9th Ave SW / 33rd St SW) HOMES

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SIZE OF Watertown, SD (9th Ave SW / 33rd St SW) HOMES

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homeownership

 
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Neighborhood Demographics Data

Source & Methodology

Analytics built by:   Location, Inc.

Raw data sources:   American Community Survey (U.S. Census Bureau).

Date(s) & Update Frequency:   2015 (latest available). Updated annually.

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

136 Vital Statistics. 0 Condition Alerts found.

Lifestyle

 
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Special character

 
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Age / Marital Status

 

Age

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Marital Status

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Gender Ratio

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Military & College Status

 
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Household Types

 

One person households

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Same Sex Partners

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Married Couple with Child

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Single Parent with Child

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Employment Industries in 9th Ave SW / 33rd St SW

 
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Commute to work

 

Average One-way Commute Time

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Means Of Transport

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Vehicles Per Household

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Migration & Mobility

 
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Race & Ethnic Diversity

 

Diversity Index

(100 is the most diverse)


More diverse than of U.S. neighborhoods.

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Occupations

 
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Ancestries & Languages Spoken

 

Ancestry (top 20)

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Languages Spoken (top 20)

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Unemployment Rate

 
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Average Income

 

Per Capita Income

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Median Household Income

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Education

 

Percent with College Degree

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Percent with Advanced Degree

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income & education

 
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Neighborhood Crime Data

Source & Methodology

Analytics built by:   Location, Inc.

Raw data sources:   Uniform Crime Reporting Program (Federal Bureau of Investigation), additional data from local police agencies.

Date(s) & Update Frequency:   Reflects 2015 calendar year; released from FBI in Sept. 2016 (latest available). Updated annually. Wheres 2016 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

67 Vital Statistics. 0 Condition Alerts found.

Neighborhood Crime Data

 

total Crime Index

(100 is safest)


Safer than of U.S. neighborhoods.

Neighborhood Annual Crimes
  Violent Property Total
Number of Crimes
Crime Rate
(per 1,000 residents)

Neighborhood Violent Crime

violent Crime Index

(100 is safest)


Safer than of U.S. neighborhoods.

Violent Crime Index By Type

Murder
Index
Rape
Index
Robbery
Index
Assault
Index

100 is safest

100 is safest

100 is safest

100 is safest

violent Crime Comparison (per 1,000 residents)

Crime
9th Ave SW / 33rd St SW 0.101011101001110
Watertown 0.101011101001110
South Dakota 3.83

My Chances of Becoming a Victim of a Violent Crime

1 in

in 9th Ave SW / 33rd St SW

1 in

in Watertown

1 in 261

in South Dakota

Watertown VIOLENT CRIMES

Population:
Murder Rape Robbery Assault
Report Total
Rate per 1,000

United States VIOLENT CRIMES

Population:
Murder Rape Robbery Assault
Report Total
Rate per 1,000

Neighborhood Property Crime

property Crime Index

(100 is safest)


Safer than of U.S. neighborhoods.

Property Crime Index By Type
Burglary
Index
Theft
Index
Motor Vehicle
Theft

100 is safest

100 is safest

100 is safest

property Crime Comparison (per 1,000 residents)

Crime
9th Ave SW / 33rd St SW 0.101011101001110
Watertown 0.101011101001110
South Dakota 19.43

My Chances of Becoming a Victim of a Property Crime

1 in

in 9th Ave SW / 33rd St SW

1 in

in Watertown

1 in 51

in South Dakota

Watertown Property CRIMES

Population:
burglary theft motor vehicle theft
Report Total
Rate per 1,000

United States Property CRIMES

Population:
burglary theft motor vehicle theft
Report Total
Rate per 1,000

Crimes Per Square Mile

Crime
9th Ave SW / 33rd St SW 0.101011101001110
Watertown 0.101011101001110
South Dakota 15

Neighborhood Public School Data

Source & Methodology

Analytics built by:   Location, Inc.

Raw data sources:
  • Test Scores: Edfacts (U.S. Department of Education), State departments of education.
  • Expenditures: National Center for Education Statistics.
  • Educational Environment: American Community Survey (U.S. Census Bureau).
Date(s) & Update Frequency:
  • Test data: Reflects 2015 – 2016 school year.
  • Expenditures: 2015
  • Educational Environment: 2015 (latest available). Updated annually.

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

65 Vital Statistics. 7 Condition Alerts found.

School Rating Information

 

School Quality

(100 is best)

Better than of U.S. schools.

Neighborhood School Quality Rating

Rates the quality of all K-12 public schools that serve this neighborhood. Info

Schools That Serve This Neighborhood *

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Neighborhood Educational Environment

Adults In Neighborhood With College Degree Or Higher
Children In The Neighborhood Living In Poverty

This neighborhood is served by 1 district:

WATERTOWN SCHOOL DISTRICT 14-4


Students Enrolled in This District


Schools in District


Students Per Classroom

District Quality Compared to South Dakota

(10 is best)

Better than of SD school districts.

District Quality Compared to U.S. info

(10 is best)

Better than of US school districts.

Public School Test Scores (No Child Left Behind)

Discipline District State
Proficiency in Reading and Math 0.101011101001110 0.101011101001110
Proficiency in Reading 0.101011101001110 0.101011101001110
Proficiency in Math 0.101011101001110 0.101011101001110

Schools In This District

School Details Grades Quality Rating Compared to SD Quality Rating Compared to Nation
Garfield Elementary 03 School
216 10th St Se
Watertown, SD, 57201
PK-KG
Jefferson Elementary 09 School
1701 N Maple
Watertown, SD, 57201
KG-06
Lincoln Elementary 05 School
1100 13th St Ne
Watertown, SD, 57201
KG-06
Watertown Middle School 02
601 11th St Ne
Watertown, SD, 57201
07-08
Watertown High School 01
200 Ne 9th St
Watertown, SD, 57201
09-12
Roosevelt Elementary 08 School
412 2nd St Se
Watertown, SD, 57201
KG-06
Mellette Elementary 07 School
619 2nd St Nw
Watertown, SD, 57201
KG-06
Mckinley Elementary 06 School
5 12th St Sw
Watertown, SD, 57201
PK-06

School District Enrollment By Group

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
FREE LUNCH ELIGIBLE
REDUCED LUNCH ELIGIBLE

Educational Expenditures

For This District Per Student Total % Of Total
Instructional Expenditures
Support Expenditures
Student
Staff
General Administration
School Administration
Operation
Transportation
Other
Total Support
Non-instructional Expenditures
Total Expenditures

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