Rental market · ZIP 57375 · Stickney, SD
ZIP 57375, Stickney, SD rental market
Population 573 · Stickney, Aurora County, SD · ZIP Code Tabulation Area
Ranked · ACS 2024 5-year
Grade cut points, score out of 100: A from 63.7 · B from 54.7 · C from 42.4 · D from 28.1. This ZIP's 43.1 sits in the C band, which opens at 42.4 and ends below 54.7. The cut points are the model's own, read from the published ZIP dataset, and are identical for every ZIP Code area.
The four category scores that combine into the number above, on the model's own 0 to 100 score scale. These bars are not percentiles: for where those scores place this ZIP Code against every other scored one, see how this ZIP ranks below.
Why it ranks here: rent sits high relative to price and taxes (solid cash-flow/affordability).
Watch: the surrounding market is flat or declining. elevated stability/risk signals.
Scored on incomplete measured inputs: this ZIP is missing measured 3-yr home-value growth (Zillow), a measured home value (Zillow) to substitute into affordability/tax-burden, so it was scored on a narrower input basis than a ZIP with full measured coverage.
A transparent screening score, not a return forecast. Affordable, higher-yield markets can score well when demand, liquidity, low vacancy, reliable government data and a growing surrounding market support them. Categories labeled “context” use official county/place data, never presented as ZIP-level observation. ZIP and city scores are not directly comparable. See how this score works.
How this ZIP ranks: nationally & in-state
Each bar places this ZIP against all 20,132 scored ZIP Codes nationally.Each bar places this ZIP against the 143 scored ZIP Codes in SD. The marker is this ZIP and further right is more favorable to an investor; the tick is the median. Every position here is a percentile: the 0–100 scores and the grade they earn are stated once, in the card above, and this card states once where those same five numbers place this ZIP Code.
Percentiles are the frozen model's own numbers among scored ZIP Codes (deterministic competition ranking); an unreliable or thin-peer in-state comparison reads “Not available,” never zero. All underlying figures are ACS survey estimates with margins of error. The comparability caveat and the method link for this score are stated once, in the card above.
What went into this score: 12 national factor percentiles
Cash Flow & Affordability
Local Demand & Market Quality
Surrounding-Market Growth
Stability & Risk
Every figure here is the frozen model’s own national percentile for one factor, read from the published ZIP dataset: 12 of the 15 factors this model defines were available for this ZIP Code. 3 of them could not be measured here (surrounding-market growth, surrounding-market stability, recently built share) and were left out of the average rather than filled in with a national guess. Higher is the direction the model treats as more favourable to a rental investor; population scale and renter-household depth are size, not quality. Each category score is the plain average of its own percentiles above; the overall score combines those four at the weights shown. The percentiles are published rounded to whole numbers, so averaging the printed figures lands a fraction of a point from the published score. This ZIP’s weakest category is 27, below the model’s published floor of 30, so the model applies its floor penalty and the overall score is lower than those four weighted together would be on their own. Nothing on this panel is recomputed here, and a factor percentile is not a score.
Key metrics
±92 ±16.1% moderate
±$21,000 ±14.1% moderate
±$58 ±7.7% tight
Derived from ACS estimates: no published margin of error
±$16,000 ±23% moderate
Derived from ACS estimates: no published margin of error
Derived from ACS estimates: no published margin of error
Derived from ACS estimates: no published margin of error
±10 years margin in years; a share of a year number would not mean anything
Derived from ACS estimates: no published margin of error
Measured market data
Measured observations for this ZIP Code, published beside the government survey figures above rather than replacing them. They measure different things and will legitimately disagree; the reconciliation below states on which axis, one axis at a time, instead of leaving a reader to guess. ZORI does not correct the ACS rent; neither is a better version of the other. Monthly series, revised in recent months, observed 2026-07, not live.
| Market heat index | 49 |
|---|
Source: Zillow Economic Research public research data, observation month 2026-07. Zillow keys on USPS ZIP codes; this page is a 2020 Census ZCTA, related but not identical geographies, so a Zillow value is matched to this ZCTA by code and is not a statement that the two areas are the same. Zillow is not affiliated with, and does not endorse, Compounding Estates.
Market Negotiation Leverage
Balanced (50th percentile among scored ZIP Codes)
Derived from Zillow's market-heat index for this ZIP, inverted (a cooler market means more room for a buyer to negotiate). This is a cross-sectional snapshot (how this ZIP compares to every other tracked ZIP today), not a seasonal or historical baseline for this specific ZIP (no multi-year time series exists to support that claim). Not a prediction of what any specific seller will accept. See how this is calculated.
Source: Zillow Economic Research public research data. Zillow is not affiliated with, and does not endorse, Compounding Estates.
Underwrite with these as starting points
Opening a calculator pre-loads the ACS median owner value and median gross rent as a survey-level starting point; every calculator input is editable. Owner-occupied median value and renter median gross rent describe different housing stock: the median-valued home is not the typical rental, so this is a screen, not a listing, appraisal, asking rent, cap rate, or forecast. Bring your own entry price and rent.
ZIP Codes bordering 57375
5 ZIP Code areas share a land boundary with 57375 in the official Census 2020 ZCTA map, ordered by shared-boundary length, not ZIP-number proximity or driving distance. 3 of them are in CE’s ranked set and are listed below, each with its own Rental Investor ZIP Score, grade and national rank, read from the same published dataset as this page. The rest are counted here and searchable from the ZIP Code explorer. A neighbour’s score is a score for that area, never for 57375, and this list is ordered by border length, so it is not a ranking and no neighbour is called best.
Evidence, sources & limitations
Official geography: Stickney town, Aurora County. Analytical entity: the U.S. Census ZIP Code Tabulation Area (ZCTA) 57375, an approximation of the USPS ZIP delivery area, not its exact route boundaries. Model z3-measured-v1; data ACS 2024 5-year.
This ZIP Code area is primarily in Aurora County (spans multiple counties), overlapping Stickney and other places, by land-area overlap from the official Census 2020 ZCTA relationship files (not population or address share).
| Population | survey ACS B01003 · ±16.1% margin of error |
|---|---|
| Median home value (ACS, owner-reported) | survey ACS B25077 · ±14.1% margin of error |
| Median gross rent (ACS, incl. utilities) | survey ACS B25064 · ±7.7% margin of error |
| Survey gross-rent yield (proxy) | derived 12 * ACS B25064 / B25077 · no published margin of error |
| Median household income | survey ACS B19013 · ±23% margin of error |
| Rental vacancy | derived ACS B25004 E002 / (B25003 E003 + B25004 E002) · no published margin of error |
| Renter share | derived ACS B25003 E003/E001 · no published margin of error |
| Estimated property-tax burden | derived ACS B25103 / B25077 · no published margin of error |
| Median year built | survey ACS B25035 · ±0.5% margin of error |
| Multifamily (5+ units) | derived ACS B25024 (5+ unit structures / total) · no published margin of error |
Class: survey = ACS estimate (with margin of error); derived = computed from ACS. The survey gross-rent yield is a proxy (renter gross rent vs owner-occupied value, different housing stock; ACS top-codes very high values/rents) and is not a cap rate. Subscores are national percentiles among data-eligible areas; ranks are competition-ranked with deterministic ties. No vendor, listing, parcel, or school data. Not investment advice.