Zip code 57457: Long Lake, South Dakota
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 57457
57457 is a rural zip code in Long Lake, South Dakota (McPherson County), covering 148 sq mi of land. About 108 people live here. The median resident is 63.1 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
The median household earns $140,417 a year, 74% above the national median of $80,734. 0.9% of residents live below the poverty line (U.S.: 12.5%). 89% of occupied homes are lived in by their owners.
21% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 19.3 minutes each way, and 0% of workers work from home. The most common jobs among working residents are in management; office and administrative support; and farming, fishing and forestry. 23% of them are self-employed (U.S.: 10%).
How 57457 compares
Only about 108 people live here, so these survey estimates have wide margins of error.
- Median age63.199thU.S. 38.9 · SD 3810th of 347 in SD
- Housing vacancy49.5%99thU.S. 10.1% · SD 10.5%5th of 344 in SD
- 99thWeaknessU.S. 51.1% · SD 39.8%7th of 313 in SD
- 99thU.S. 17.2% · SD 18%18th of 347 in SD
- 99thU.S. 10% · SD 12.1%130th of 347 in SD
- Per capita income$88,33697thStrengthU.S. $44,673 · SD $40,5503rd of 347 in SD
- Homeownership rate88.7%94thStrengthU.S. 65.2% · SD 68.6%77th of 344 in SD
- Median household income$140,41792ndStrengthU.S. $80,734 · SD $75,0815th of 327 in SD
- Veterans6.8%63rdU.S. 6.2% · SD 7.9%171st of 347 in SD
- 22ndU.S. 35.7% · SD 31.9%228th of 346 in SD
- Residents under 1818.5%21stU.S. 22% · SD 24.2%272nd of 347 in SD
- Average commute19.3 min10thStrengthU.S. 26.4 min · SD 17.8 min188th of 330 in SD
- Median earnings per worker$32,1435thWeaknessU.S. $49,666 · SD $46,539306th of 345 in SD
- 3rdStrengthU.S. 0.483 · SD 0.449269th of 343 in SD
- Population1081stU.S. 334,922,499 · SD 907,428345th of 347 in SD
- Population density1/sq mi1stU.S. 95/sq mi · SD 12/sq mi329th of 347 in SD
- Poverty rate0.9%1stStrengthU.S. 12.5% · SD 11.9%323rd of 344 in SD
- 1stU.S. 15.1% · SD 9.7%337th of 347 in SD
- 1stStrengthU.S. 5.2% · SD 2.9%308th of 347 in SD
- 1stU.S. 61.4 · SD 35.4338th of 347 in SD
- 1stWeaknessU.S. 91% · SD 89.6%325th of 344 in SD
- 1stStrengthU.S. 8.4% · SD 9%342nd of 347 in SD
- 1stU.S. 14.1% · SD 4%310th of 347 in SD
- 1stU.S. 3.8% · SD 2.3%291st of 347 in SD
- 1stU.S. 9.7% · SD 10.5%328th of 347 in SD
- 1stU.S. 14.5% · SD 15.8%334th of 347 in SD
| Measure | 57457 | McPherson | SD | U.S. | National percentile | Rank in SD |
|---|---|---|---|---|---|---|
| Median age | 63.1 | 50 | 38 | 38.9 | 10th of 347 | |
| Housing vacancy | 49.5% | 24.1% | 10.5% | 10.1% | 5th of 344 | |
| Rent-burdened rentersWeakness | 100% | 24.1% | 39.8% | 51.1% | 7th of 313 | |
| Residents 65 and older | 38% | 33.1% | 18% | 17.2% | 18th of 347 | |
| Self-employed workers | 22.5% | 23.6% | 12.1% | 10% | 130th of 347 | |
| Per capita incomeStrength | $88,336 | $46,476 | $40,550 | $44,673 | 3rd of 347 | |
| Homeownership rateStrength | 88.7% | 81.3% | 68.6% | 65.2% | 77th of 344 | |
| Median household incomeStrength | $140,417 | $66,906 | $75,081 | $80,734 | 5th of 327 | |
| Veterans | 6.8% | 11.8% | 7.9% | 6.2% | 171st of 347 | |
| Bachelor's degree or higher | 20.5% | 26.5% | 31.9% | 35.7% | 228th of 346 | |
| Residents under 18 | 18.5% | 19.3% | 24.2% | 22% | 272nd of 347 | |
| Average commuteStrength | 19.3 min | 18.4 min | 17.8 min | 26.4 min | 188th of 330 | |
| Median earnings per workerWeakness | $32,143 | $44,141 | $46,539 | $49,666 | 306th of 345 | |
| Income inequality (Gini)Strength | 0.348 | 0.526 | 0.449 | 0.483 | 269th of 343 | |
| Population | 108 | 2,145 | 907,428 | 334,922,499 | 345th of 347 | |
| Population density | 1/sq mi | 2/sq mi | 12/sq mi | 95/sq mi | 329th of 347 | |
| Poverty rateStrength | 0.9% | 12.9% | 11.9% | 12.5% | 323rd of 344 | |
| Work from home | 0% | 11.6% | 9.7% | 15.1% | 337th of 347 | |
| Unemployment rateStrength | 0% | 1.1% | 2.9% | 5.2% | 308th of 347 | |
| Diversity index | 0 | 6.3 | 35.4 | 61.4 | 338th of 347 | |
| Broadband accessWeakness | 66% | 80% | 89.6% | 91% | 325th of 344 | |
| Uninsured rateStrength | 0% | 1.9% | 9% | 8.4% | 342nd of 347 | |
| Foreign-born residents | 0% | 0.3% | 4% | 14.1% | 310th of 347 | |
| Tech workers | 0% | 1% | 2.3% | 3.8% | 291st of 347 | |
| Healthcare workers | 0% | 8.5% | 10.5% | 9.7% | 328th of 347 | |
| Government workers | 2.5% | 15% | 15.8% | 14.5% | 334th 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
- White100%
- Black0%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 53
- Average household size
- 2
- Family households
- 67.9%
- Married couples
- 67.9%
- Living alone
- 32.1%
- Veterans (of adults)
- 6.8%
- Male / female
- 62% / 38%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 105
- Owner-occupied
- 88.7%
- Vacant
- 49.5%
- Median year built
- 1964
- Median rooms
- 8
- Renters paying 30%+ of income
- 100%
- Renters paying 50%+ of income
- 100%
- 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 | 57457 | U.S. |
|---|---|---|
| Management, business, science and arts | $32,222 | $74,888 |
| Service | — | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | $55,000 | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 80.7%
- Bachelor's degree or higher
- 20.5%
- Graduate or professional degree
- 10.2%
- Households with broadband
- 66%
- Cable, fiber or DSL
- 34%
- No internet access
- 34%
- Without health insurance
- 0%
- Limited-English households
- 0%
Geography
- City (USPS)
- Long Lake
- State
- South Dakota
- County
- McPherson County
- Center point
- 45.8773° N, 99.1543° W
- Land area
- 148 sq mi
- Water area
- 4.9 sq mi
- Time zone
- Central Time (UTC-6, UTC-5 in summer)
- Zip type
- Residential delivery area
Zip codes near 57457
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 58413 | Ashley, ND | 11 mi | $51,250 |
| 57456 | Leola, SD | 13 mi | $75,833 |
| 58439 | Forbes, ND | 17 mi | $73,611 |
| 57448 | Hosmer, SD | 23 mi | $66,538 |
| 57437 | Eureka, SD | 24 mi | $49,276 |
| 57481 | Westport, SD | 27 mi | $68,125 |
| 58456 | Kulm, ND | 28 mi | $66,607 |
| 58440 | Fredonia, ND | 28 mi | $67,083 |
| 58436 | Ellendale, ND | 31 mi | $69,286 |
| 58460 | Lehr, ND | 31 mi | $47,500 |
| 57441 | Frederick, SD | 31 mi | $108,009 |
| 57451 | Ipswich, SD | 32 mi | $86,000 |
Questions about 57457
What city is zip code 57457?
57457 is assigned to Long Lake, South Dakota. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 57457 in?
57457 is in McPherson County, South Dakota.
What is the population of 57457?
About 108 people live in 57457, according to the Census Bureau's American Community Survey.
What time zone is 57457 in?
57457 is in Central Time.
What is the median household income in 57457?
The median household income in 57457 is $140,417.
What zip codes are near 57457?
The closest zip codes to 57457 are 58413, 57456, 58439, 57448, 57437.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 57457, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.