Zip code 57748: Howes, South Dakota
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 57748
57748 is a rural zip code in Howes, South Dakota (Meade County), covering 400 sq mi of land. About 369 people live here. The median resident is 28.4 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
34.4% of residents live below the poverty line (U.S.: 12.5%). The median home value is $241,200. 68% of occupied homes are lived in by their owners, and renters pay a median of $763 a month.
19% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in management; construction and repair; and police and fire protection. 44% of them are self-employed (U.S.: 10%). 42% of households speak a language other than English at home, most often another language, such as Arabic or a Native American language.
How 57748 compares
Only about 369 people live here, so these survey estimates have wide margins of error.
- Work from home45.2%99thU.S. 15.1% · SD 9.7%10th of 347 in SD
- Unemployment rate17.3%99thWeaknessU.S. 5.2% · SD 2.9%24th of 347 in SD
- Residents under 1839.3%99thU.S. 22% · SD 24.2%25th of 347 in SD
- 99thU.S. 10% · SD 12.1%26th of 347 in SD
- 99thWeaknessU.S. 0.483 · SD 0.4492nd of 343 in SD
- Poverty rate34.4%98thWeaknessU.S. 12.5% · SD 11.9%33rd of 344 in SD
- Government workers29.6%98thU.S. 14.5% · SD 15.8%53rd of 347 in SD
- 95thWeaknessU.S. 51.1% · SD 39.8%21st of 313 in SD
- Housing vacancy13.4%83rdU.S. 10.1% · SD 10.5%185th of 344 in SD
- Uninsured rate7.9%58thU.S. 8.4% · SD 9%157th of 347 in SD
- Diversity index49.351stU.S. 61.4 · SD 35.428th of 347 in SD
- 49thU.S. 65.2% · SD 68.6%265th of 344 in SD
- Veterans5.4%44thU.S. 6.2% · SD 7.9%225th of 347 in SD
- Median home value$241,20031stU.S. $332,700 · SD $257,40076th of 302 in SD
- Median earnings per worker$40,21922ndU.S. $49,666 · SD $46,539254th of 345 in SD
- 18thWeaknessU.S. 35.7% · SD 31.9%252nd of 346 in SD
- 9thU.S. 17.2% · SD 18%299th of 347 in SD
- Per capita income$24,2007thWeaknessU.S. $44,673 · SD $40,550306th of 347 in SD
- 5thU.S. $1,413 · SD $946121st of 243 in SD
- Broadband access77.7%3rdWeaknessU.S. 91% · SD 89.6%298th of 344 in SD
- Median age28.42ndU.S. 38.9 · SD 38305th of 347 in SD
- 2ndU.S. 14.1% · SD 4%215th of 347 in SD
- Population3691stU.S. 334,922,499 · SD 907,428241st of 347 in SD
- Population density1/sq mi1stU.S. 95/sq mi · SD 12/sq mi321st of 347 in SD
- 1stU.S. 3.8% · SD 2.3%298th of 347 in SD
- 1stU.S. 9.7% · SD 10.5%331st of 347 in SD
| Measure | 57748 | Meade | SD | U.S. | National percentile | Rank in SD |
|---|---|---|---|---|---|---|
| Work from home | 45.2% | 8.1% | 9.7% | 15.1% | 10th of 347 | |
| Unemployment rateWeakness | 17.3% | 3.2% | 2.9% | 5.2% | 24th of 347 | |
| Residents under 18 | 39.3% | 21.2% | 24.2% | 22% | 25th of 347 | |
| Self-employed workers | 44.3% | 10.7% | 12.1% | 10% | 26th of 347 | |
| Income inequality (Gini)Weakness | 0.650 | 0.391 | 0.449 | 0.483 | 2nd of 343 | |
| Poverty rateWeakness | 34.4% | 7.1% | 11.9% | 12.5% | 33rd of 344 | |
| Government workers | 29.6% | 18.1% | 15.8% | 14.5% | 53rd of 347 | |
| Rent-burdened rentersWeakness | 66.7% | 38.1% | 39.8% | 51.1% | 21st of 313 | |
| Housing vacancy | 13.4% | 7% | 10.5% | 10.1% | 185th of 344 | |
| Uninsured rate | 7.9% | 9.4% | 9% | 8.4% | 157th of 347 | |
| Diversity index | 49.3 | 27.1 | 35.4 | 61.4 | 28th of 347 | |
| Homeownership rate | 68% | 72.9% | 68.6% | 65.2% | 265th of 344 | |
| Veterans | 5.4% | 12.7% | 7.9% | 6.2% | 225th of 347 | |
| Median home value | $241,200 | $310,900 | $257,400 | $332,700 | 76th of 302 | |
| Median earnings per worker | $40,219 | $42,468 | $46,539 | $49,666 | 254th of 345 | |
| Bachelor's degree or higherWeakness | 19% | 27.8% | 31.9% | 35.7% | 252nd of 346 | |
| Residents 65 and older | 10.3% | 16.7% | 18% | 17.2% | 299th of 347 | |
| Per capita incomeWeakness | $24,200 | $38,550 | $40,550 | $44,673 | 306th of 347 | |
| Median gross rent | $763 | $1,264 | $946 | $1,413 | 121st of 243 | |
| Broadband accessWeakness | 77.7% | 93.4% | 89.6% | 91% | 298th of 344 | |
| Median age | 28.4 | 37.3 | 38 | 38.9 | 305th of 347 | |
| Foreign-born residents | 0.3% | 1.7% | 4% | 14.1% | 215th of 347 | |
| Population | 369 | 30,546 | 907,428 | 334,922,499 | 241st of 347 | |
| Population density | 1/sq mi | 9/sq mi | 12/sq mi | 95/sq mi | 321st of 347 | |
| Tech workers | 0% | 1.3% | 2.3% | 3.8% | 298th of 347 | |
| Healthcare workers | 0% | 11.5% | 10.5% | 9.7% | 331st of 347 |
The percentile is the share of Americans who live in a zip code with a lower value, so the 50th percentile is typical. Rank 1 is the highest value in the state. Both include zip codes with at least 100 residents. Strengths and weaknesses mark measures in the best or worst fifth nationally, where higher or lower is clearly better (income, poverty, education, commute, broadband, insurance and similar). Measures like age or density are left unmarked.
People
Age
Race and ethnicity
- White57%
- Black0%
- Hispanic0%
- Asian0.3%
- Native American43%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 103
- Average household size
- 3.6
- Family households
- 90.3%
- Married couples
- 59.2%
- Living alone
- 9.7%
- Veterans (of adults)
- 5.4%
- Male / female
- 50% / 50%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 119
- Owner-occupied
- 68%
- Vacant
- 13.4%
- Median year built
- 1988
- Median rooms
- 5.4
- Renters paying 30%+ of income
- 66.7%
- Renters paying 50%+ of income
- 21.2%
- Home value to income
- —
Work and commute
How people get to work
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 57748 | U.S. |
|---|---|---|
| Management, business, science and arts | $29,643 | $74,888 |
| Service | — | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 78%
- Bachelor's degree or higher
- 19%
- Graduate or professional degree
- 4.9%
- Households with broadband
- 77.7%
- Cable, fiber or DSL
- 71.8%
- No internet access
- 22.3%
- Without health insurance
- 7.9%
- Limited-English households
- 0%
Geography
- City (USPS)
- Howes
- State
- South Dakota
- County
- Meade County
- Center point
- 44.5852° N, 102.0106° W
- Land area
- 400 sq mi
- Water area
- 2.7 sq mi
- Time zone
- Mountain Time (UTC-7, UTC-6 in summer)
- Zip type
- Residential delivery area
57748 spans 2 counties
- Meade County56% of land
- Ziebach County44% of land
Zip codes near 57748
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 57792 | White Owl, SD | 18 mi | $103,567 |
| 57553 | Milesville, SD | 20 mi | — |
| 57622 | Cherry Creek, SD | 23 mi | — |
| 57737 | Enning, SD | 25 mi | — |
| 57626 | Faith, SD | 30 mi | $68,036 |
| 57791 | Wasta, SD | 32 mi | $42,250 |
| 57787 | Union Center, SD | 32 mi | $53,750 |
| 57775 | Quinn, SD | 34 mi | $77,750 |
| 57790 | Wall, SD | 35 mi | $75,096 |
| 57623 | Dupree, SD | 35 mi | $59,946 |
| 57567 | Philip, SD | 35 mi | $59,410 |
| 57767 | Owanka, SD | 42 mi | $250,000+ |
Questions about 57748
What city is zip code 57748?
57748 is assigned to Howes, South Dakota. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 57748 in?
57748 is mostly in Meade County, but it extends into 1 other county.
What is the population of 57748?
About 369 people live in 57748, according to the Census Bureau's American Community Survey.
What time zone is 57748 in?
57748 is in Mountain Time.
What zip codes are near 57748?
The closest zip codes to 57748 are 57792, 57553, 57622, 57737, 57626.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 57748, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.