57799 ZIP Code — Spearfish, SD
Lawrence County, South Dakota
ZIP code 57799 is located in Spearfish, South Dakota, within Lawrence County. It covers approximately 0.19 square miles and serves a population of 565 residents. This is a standard ZIP code in the Mountain (MT) timezone, served by area code 605.
About ZIP code 57799
The housing stock consists of a mix of housing types.
The dominant occupation class is sales and office, with arts, entertainment, and food service as the leading industry. The average commute of 11 minutes is near the national average.
Educational attainment is near the national average, with 27% of residents holding a bachelor's degree or higher.
565
population
0.19
sq mi land
Standard
ZIP type
Mountain (MT)
timezone
57799 ZIP code map
Cities in ZIP code 57799
Below are the cities the US Postal Service accepts for ZIP code 57799. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Spearfish | Acceptable |
| Spearfish | Preferred |
Nearby ZIP codes
57783 Spearfish (1.8 mi)
57779 Saint Onge (6.5 mi)
82712 Beulah (13.3 mi)
57793 Whitewood (14 mi)
57754 Lead (16.5 mi)
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 565 |
| Population density | 2,974 / sq mi |
| State FIPS | 46 |
| County FIPS | 081 |
| Geography | |
|---|---|
| Land area | 0.19 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 44.4987 |
| Longitude | -103.8726 |
| Timezone | Mountain (MT) |
| Area code | 605 |
Total population by age
Gender
Race & ethnicity
Economics
updated 05/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 100.0% | 47.8% | 41.7% |
| $50k – $100k | 0.0% | 29.1% | 33.8% |
| $100k – $200k | 0.0% | 18.3% | 20.1% |
| Over $200k | 0.0% | 4.8% | 4.4% |
Demographics & statistics
565
Population
2,974
People per sq mi
19.4
Median age
$0
Median household income
$59,124
Per capita income
$0
Median home value
$0
Median monthly rent
0.0%
Home ownership
0.0%
Poverty rate
7.8%
Unemployment
0
Housing units
26.7%
Bachelor's or higher
Age distribution
Male
Female
136
15–19
249
58
20–24
107
0
25–34
1
4
35–44
7
1
45–54
1
0
60–64
1
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 565 | 100.0% |
| 65 and over | 0 | 0.0% |
| Median age | 19.4 years | |
Race & ethnicity
White
84.3%
Black or African American
5.1%
American Indian / Alaska Native
4.8%
Two or more races
3.7%
Asian
1.1%
Hispanic or Latino
0.5%
Other race
0.5%
| Group | Count | % |
|---|---|---|
| White | 479 | 84.3% |
| Black or African American | 29 | 5.1% |
| American Indian / Alaska Native | 27 | 4.8% |
| Two or more races | 21 | 3.7% |
| Asian | 6 | 1.1% |
| Hispanic or Latino | 3 | 0.5% |
| Other race | 3 | 0.5% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 100.0% | 47.8% | 41.7% |
| $50k – $100k | 0.0% | 29.1% | 33.8% |
| $100k – $200k | 0.0% | 18.3% | 20.1% |
| Over $200k | 0.0% | 4.8% | 4.4% |
Housing
Home values
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 0.0% |
| Renter occupied | 0.0% |
| Vacant | 0.0% |
| Single-family detached | 0.0% |
| Large apartment buildings | 0.0% |
| Mobile homes | 0.0% |
| Median rooms | 0.0 |
| Avg household size (owned) | 0.00 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 0.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 0.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 0.0% |
| 3 bedrooms | 0.0% |
| 4 bedrooms | 0.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 0.0% |
| 2 vehicles | 0.0% |
| 3 or more | 0.0% |
Heating fuel
| Fuel type | % |
|---|
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 0 | 0.0% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 0 | 0.0% |
| Female householder, no spouse | 0 | 0.0% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 0 | 0.0% |
| Average household size | 0.00 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 94.5% | 97.0% |
| Married | 1.0% | 2.7% |
| Separated | 0.0% | 0.3% |
| Widowed | 0.0% | 0.0% |
| Divorced | 4.5% | 0.0% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
0.0%
HS graduate
0.0%
Some college, no degree
60.0%
Associate's degree
13.3%
Bachelor's degree
0.0%
Graduate / professional
26.7%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 26.7% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 0 | 0.0% |
| High school | 0 | 0.0% |
| College / grad school | 561 | 100.0% |
Employment
Industry of employment
Arts, food & hospitality
34.3%
Retail trade
31.4%
Education & healthcare
24.9%
Manufacturing
4.9%
Transportation & utilities
2.3%
Public administration
1.3%
Information
1.0%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 6.8% |
| Service | 40.5% |
| Sales & office | 43.7% |
| Natural resources & construction | 1.0% |
| Production & transportation | 8.1% |
Employment type
| Type | % |
|---|---|
| Private sector | 80.9% |
| Government | 19.1% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 58.6% |
| Carpool | 7.2% |
| Public transit | 0.0% |
| Walk | 26.6% |
| Work from home | 7.6% |
| Other means | 0.0% |
| Avg commute (minutes) | 10.8 |
Poverty
All people
0.0%
Under 18 years
0.0%
18 and over
0.0%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 0.0% |
| Retirement income | 0.0% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 15.8% |
| High blood pressure | 6.1% |
| High cholesterol | 7.1% |
| Diabetes | 0.8% |
| Heart disease | 0.6% |
| Stroke | 0.3% |
| Asthma | 10.1% |
| Arthritis | 3.2% |
| Kidney disease | 0.6% |
| Pulmonary disease | 1.2% |
| Cancer | 0.7% |
| Behavior / access | % |
|---|---|
| Smoking | 9.4% |
| Binge drinking | 29.1% |
| No physical activity | 12.5% |
| Less than 7 hrs sleep | 23.4% |
| Depression | 19.2% |
| Fair or poor health | 4.3% |
| Poor mental health | 16.0% |
| Poor physical health | 3.3% |
| No health insurance | 12.1% |
| Visited doctor (checkup) | 63.4% |
| Visited dentist | 72.8% |
| Cholesterol screening | 69.5% |
| Teeth loss | 10.2% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 1 | 0.2% |
| Disability | % |
|---|---|
| Any disability | 18.8% |
| Under 18 | 0.0% |
| 18–64 years | 18.8% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 86.7% |
| Public insurance | 14.2% |
| No insurance | 7.1% |
| Uninsured under 19 | 4.5% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 565 | 100.0% |
| Spanish | 9 | 1.6% |
| Other Indo-European | 1 | 0.2% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 5 | 0.9% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 550 | 97.3% |
| Born in same state | 550 | 97.3% |
| Born in different state | 228 | 40.4% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 15 | 2.7% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 71 | 12.6% |
| English | 45 | 8% |
| Polish | 42 | 7.4% |
| French | 38 | 6.7% |
| Ancestry | Count | % |
|---|---|---|
| German | 23 | 4.1% |
| Irish | 12 | 2.1% |
| Dutch | 6 | 1.1% |
| Arab | 6 | 1.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 0.0% |
| Internet access | 0.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 57799
What city is ZIP code 57799 in?
ZIP code 57799 is primarily assigned to Spearfish, South Dakota.
What county is ZIP code 57799 in?
ZIP code 57799 falls within Lawrence County, South Dakota.
What is the population of ZIP code 57799?
ZIP code 57799 has an estimated population of 565 residents, with a density of 3,005 people per square mile.
What timezone is ZIP code 57799 in?
ZIP code 57799 observes the MST timezone.