Median Sale Price
$423,750
+26.5% YoY
Active Inventory
1,542
Days on Market
60 days
Price Drops
32.0%

Single-Family vs. Condo

Source: Redfin (property-type breakdown)
Single-Family Median
$460,000
-3.5% YoY
Condo / Co-op Median
$230,000
+0.3% YoY
SFR vs. Condo YoY Gap
-3.9%
condos outperforming SFR
DOM: SFR vs. Condo
59d / 44d
SFR / Condo

Buyer vs. Seller Market Indicators

Latest month — Redfin
Months of Supply
3.7 mo
Balanced

Inventory ÷ monthly sales. Below 3 = strong seller market; 3-6 balanced; above 6 = buyer market.

Sale-to-List Ratio
98.7%
At asking

Median closing price ÷ original list price. Above 100% = homes routinely closing above asking.

% Sold Above List
19%
Buyer-favorable

Share of closed sales priced above asking. The single cleanest read on bidder competition.

What does your sqft target cost in York County, South Carolina?

$209/sqft median (Redfin)
+$0 adj
+$0 adj
optional
Estimated price
$417,052
Near median (-2% vs median)
Region median
$423,750
all homes
Price-tier reverse lookup — what sqft does each price band buy?
$600,000
≈ 2,877 sqft
$1,200,000
≈ 5,755 sqft
$2,000,000
≈ 9,591 sqft
$5,000,000
≈ 23,978 sqft

Estimate = (median $/sqft × your sqft) + bed/bath/lot adjustments. Bed and bath adjustments use Appraisal Institute / Fannie Mae standard rules of thumb (~$15K/extra bedroom, ~$20K/extra bathroom vs. a 3bd/2ba baseline; half-bath = half adj). Lot premium is a $1.50/sqft heuristic beyond a 6,000 sqft baseline — accuracy varies sharply by urban infill vs. acreage market. Quality, condition, year built, and HOA are not modeled here. For a deeper county-level hedonic AVM, see AVM Lite.

Rent + invest vs. buy + own — backtested

15-yr rolling history · S&P 500
Property type:
Upfront capital committed (both paths): $97K = 20% down + 3% closing on a $424K home
BUY + OWN
Median ending wealth $372K $227K real
Net gain on $97K upfront: $275K
Range: $372K → $372K
Wealth = home value (appreciated at 3%/yr) − remaining mortgage − 6% selling cost. Gain = wealth − upfront. Leveraged appreciation on full $424K asset comes from the 20% down.
RENT + INVEST
Median ending portfolio $886K $628K real
Net gain on $305K contributed: $582K
Range: $412K → $2.32M
Same upfront cash + each year's (own − rent) surplus invested in S&P 500 at actual annual returns. Median renter contributed $305K total.
Median wealth delta: $514K in favor of RENT + INVEST
What if you'd started in a recent year? (most-recent 15yr window: 2011–2025)
WindowBuy wealthBuy gainRent wealthRent gainWealth delta
2011–2025$372K$275K$1.31M$1.01M$938K rent
2010–2024$372K$275K$1.34M$1.03M$966K rent
2009–2023$372K$275K$1.29M$981K$913K rent
2008–2022$372K$275K$886K$582K$514K rent
2007–2021$372K$275K$1.15M$843K$775K rent
2006–2020$372K$275K$982K$677K$610K rent
2005–2019$372K$275K$881K$577K$509K rent
2004–2018$372K$275K$727K$422K$354K rent

Educational tool, not investment or real-estate advice. Past performance does not guarantee future results. Backtests use actual annual total returns including dividends from S&P 500 (Damodaran (NYU Stern) annual total return (with dividends), 1957-present.).

Buyer model: 30-yr fixed mortgage, P&I + property tax + insurance + maintenance (1% of value/yr) + HOA. Selling cost = 6%. Investor model: down payment + annual cashflow surplus invested in the chosen index at that calendar year's actual return.

Tax model: pre-tax comparison. Toggle "after-tax mode" to apply MID, SALT, LTCG, and the Sec 121 capital-gains exclusion.

This calculator does not adjust for: PMI (assumed 20%+ down), differential transaction costs by state, lifestyle factors (commute, schools, kids), illiquidity / forced-sale risk, or insurance availability constraints (e.g., FL/CA wildfire). Consult a fiduciary advisor and tax professional before acting on any of this.

Market Pressure Signals

Derived from Redfin trend
Inventory vs. Long-Term Avg
+55.2%
surplus — buyer leverage
DOM vs. 24-Mo Avg
-9.8%
currently 60 days
Long-Term Avg Inventory
993
Long-Term Avg DOM
67 days

Mortgage & Price Stress

State HPI + national delinquency
State HPI YoY
+3.4%
positive — appreciating
State HPI vs. Peak
0.0%
at or near peak peak 2026-01-01
National Mortgage Delinquency
1.89%
benchmark — 2026-01-01 county-grain delinquency requires paid data

State-grain HPI YoY + drawdown from peak is the cleanest free price-stress proxy. The national delinquency rate gives the macro mortgage-stress backdrop. True county-level mortgage delinquency lives in paid datasets (MBA NDS, CoreLogic LP).

Value Ratios

Median home price ÷ county median income
Value / Income
5.1×
overvalued
Median Household Income
$83,060
Census ACS B19013

Historically affordable markets sit at 3–4× income; over 5× is stretched, over 6× is severely overvalued. Lower ratios point to bargain opportunities.

Housing Stock & Owners

Census ACS 5-year (B19013, B01003, B25002, B25003, B25034, B25007)
Population
288,559
total residents
Total Housing Units
118,063
all units, occupied + vacant
Vacancy Rate
5.5%
tight
Homeownership Rate
73.4%
of occupied units owner-occupied
Boomer Owners (65+)
20.9%
of homeowner households
Millennial / Gen-X Owners (35-54)
7.4%
of homeowner households
Pre-1949 Housing Stock
4.7%
structures built before 1949

When boomer-owner share is high, expect more inventory hitting the market over the next decade as homes transition. High vacancy + high old-stock often signals deferred-maintenance markets where buyers can negotiate.

Net Migration (IRS Tax Returns)

IRS Statistics of Income — Migration Data
Net Migration
+1,246
gaining people (2022–2023)
Inbound Returns
5,599
10,033 people moved in
Outbound Returns
5,107
8,787 people moved out
Net Returns
+492
household-filer basis

Top 5 Origins (where movers came from)

  1. Mecklenburg, North Carolina — 2,240 returns
  2. Lancaster, South Carolina — 478 returns
  3. Gaston, North Carolina — 340 returns
  4. Chester, South Carolina — 270 returns
  5. Union, North Carolina — 160 returns

Top 5 Destinations (where movers went)

  1. Mecklenburg, North Carolina — 1,389 returns
  2. Lancaster, South Carolina — 605 returns
  3. Chester, South Carolina — 395 returns
  4. Gaston, North Carolina — 328 returns
  5. Richland, South Carolina — 261 returns

IRS Statistics of Income tracks county-to-county migration via tax-return change-of-address. Net migration uses the exemption count (a proxy for people, including dependents). True net flow can lag by 1–2 years vs. real-time movements.

Who's Moving In (Census ACS)

Source: Census ACS B07001 (5-year)
Inbound Movers (1 yr)
19,715
6.9% of pop. — moved here from outside the county
From Other States
12,321
4.31% of pop. — interstate inbound
From Abroad
975
moved into the county from outside the U.S.
Same House 1 Year Ago
88%
stable residents

Census ACS asks where people lived 1 year ago, so this counts inbound movers but does not show outbound — true net migration would require IRS SOI parsing.

Trends

Up to 5 years of monthly data

Median Sale Price

Trailing 12 months

Active Inventory

Trailing 12 months

Days on Market

Trailing 12 months

Looking for state-level data? See South Carolina statewide stats →

Verify any number on this page: data sources, formulas, and cross-references →