States / Kentucky
State rental intelligence

Kentucky rental market data

A source-traced view across 14 metro markets and 120 counties. State figures below are labelled medians and totals—not a made-up statewide investment score.

12/14 metros scored120/120 counties with FEMA risk13 sources used in this analysis
Median scored metro57.5out of 100 · 12 measured metros
Kentucky identity diorama showing regional landscape, cities, housing, and infrastructure
Median metro home value$253kmedian across published metro values
Median metro rent$1,276monthly · published metro values
Median gross yield6.1%annual rent ÷ price · before costs
Median job trend▲ 0.5%trailing 12-month metro employment
State research brief

A 3.6-percentage-point gap between median metro rent growth and home-value change is the central Kentucky screen: stronger headline income math sits beside weaker value momentum.

Updated 2026-07-31 · evidence current to the releases listed below.

Home-value change was measured across 14 metros and rent change across 12. The median measured metro posted 3.2% rent growth and a 0.5% home-value decline, while the current 14-metro distribution had a median asking rent of $1,275.5, a median value of $253,109 and a 6.1% median gross yield. Paducah and Murray show the separation most clearly, but the spread should not be treated as proof of durable rent growth or improving net returns.

The counter-signal is that measured demand has not broadly collapsed: median metro employment growth was 0.5%, and county migration totaled a net gain of 2,207 people, or 0.5 per 1,000 residents. The evidence supports locality-level screening, not a statewide conclusion. County rent data cover only 33 of 120 counties, and the packet does not provide property condition, achieved lease rents, operating expenses, insurance quotes or parcel-level hazards.

01

Median metro rent growth of 3.2% versus a 0.5% value decline → underwrite rental income and exit value independently rather than treating the spread as one favorable trend.

02

A 6.1% median gross yield alongside asking rents at 118.0% of two-bedroom Fair Market Rent → verify achievable lease rents before relying on headline yield.

03

Median supply of 2.9 months but 5.2 months in Bowling Green and 4.9 in Somerset → use local resale timing and discount assumptions.

04

Median job growth of 0.5% and net migration of 2,207 → do not assume broad demand contraction, but require metro- and submarket-level validation.

05

Inland flood as the leading county hazard label in 113 counties → obtain parcel-level hazard and insurance evidence rather than applying the label to every property.

01
Price and rent momentum

Rent growth is separating from home values

Across the measured distributions, metro home-value change had a median of -0.5% and a 10th-to-90th-percentile range of -3.4% to 2.2%. Metro rent growth had a 3.2% median and a 1.2% to 5.4% range. The supplied median rent-minus-price growth spread was 3.6 percentage points, so the central pattern is rising asking rents alongside slightly declining values rather than synchronized appreciation.

Paducah paired a 3.3% value decline with 6.7% rent growth and a 9.0% gross yield. Murray was more extreme, with values down 23.6%, rents up 5.2% and a 7.7% gross yield. Those combinations can improve acquisition math on paper, but an unusually large value decline also calls for validation of local sales, property mix and exit assumptions. Gross yield is not a net-return measure.

Evidence: Zillow ZHVI — metro home values · Zillow ZORI — metro market rents

02
Entry cost and affordability

Similar headline yields conceal different income pressure

The 14-metro gross-yield distribution had a 6.1% median and a 5.4% to 8.5% 10th-to-90th-percentile range. Median rent-to-income was 23.3%, with a 21.2% to 25.5% range. Asking rents were 118.0% of two-bedroom Fair Market Rent at the median, and the measured range was 103.0% to 133.0%. That gap makes achieved lease comps and unit comparability important when market asking rent is used in underwriting.

Paducah's $170,215 value and $1,273 rent produced a 9.0% gross yield, while rent was 23.8% of measured median income. Somerset's $183,719 value and $1,360 rent produced a similar 8.9% yield, but rent-to-income was 31.5%. The nearly equal headline yields therefore do not imply equal tenant capacity. Neither the income ratio nor the Fair Market Rent comparison establishes what a particular household or unit can support.

Evidence: Census ACS 5-year — household income · HUD Fair Market Rents — Section 8 standard · Zillow ZHVI — metro home values · Zillow ZORI — metro market rents

03
Supply and resale conditions

A 2.9-month median does not prevent slow local exits

Across 14 measured metros, median inventory was 2.9 months, median marketing time was 45.5 days, 28.9% of listings had price drops and the median sale-to-list ratio was 97.9%. Those central figures do not describe every exit market: measured days on market ranged from 36.3 to 71.3 days between the 10th and 90th percentiles, while months of supply ranged from 2.1 to 4.8.

Bowling Green had 5.2 months of supply and an 86-day marketing time, although its price-drop share was only 20.5% and its sale-to-list ratio was 97.8%. Somerset had 4.9 months of supply, 65 days on market, a 28.6% price-drop share and a 95.9% sale-to-list ratio. Lexington provided a contrasting profile with 2.0 months of supply and 36 days on market despite a 31.4% price-drop share and 2,710 permitted units. Price cuts, inventory and marketing time should therefore be screened together; permits are not completed or rentable units.

Evidence: Census Building Permits Survey — permitted units · Redfin Data Center — inventory, days on market, and price cuts

04
Employment and household movement

Positive demand indicators are real but small

Median employment growth across 14 metros was 0.5%, but the 10th-to-90th-percentile range ran from -0.3% to 1.4%. Frankfort recorded 2.5% growth, Somerset 1.5% and Richmond 1.1%. The positive median is a counter-signal to interpreting softer home values as evidence of uniform labor-demand weakness, although the distribution still includes contraction.

Across all 120 counties with migration data, 112,920 people moved in and 110,713 moved out, leaving a net gain of 2,207. That equals 0.5 net migrants per 1,000 residents. The direction is positive but the balance is narrow, and statewide migration cannot establish rental demand in any cited metro. The migration and employment series also cover different periods, so they should not be read as a single synchronized trend.

Evidence: Census ACS 5-year — population · BLS CES — payroll employment · BLS LAUS — resident employment · IRS SOI — county migration and mover income

05
Housing stock and tenant conditions

High renter burden can coexist with high vacancy

Across 120 counties, the median vacancy rate was 13.1%, with a 6.7% to 20.6% 10th-to-90th-percentile range. The median renter share was 25.6%, and 43.7% of renters were burdened at 30% or more of income; the 90th-percentile burden rate was 53.5%. Housing stock was predominantly single-family at a 71.0% median share, while large multifamily had a 0.9% median share and mobile homes 18.6%.

Martin County combined a 69.9% renter-burden rate with 20.7% vacancy and only a 15.1% renter share. Clay County had 65.2% burden and 15.9% vacancy, while Lee County had 64.5% burden and 19.6% vacancy. High total vacancy therefore does not demonstrate abundant, habitable rental supply, and high burden does not establish room for additional rent. The county data do not identify unit condition, leasable vacancy or the depth of demand at a subject property's rent.

Evidence: Census ACS 5-year — county housing value, tenure and stock

06
Physical risk and property tax

Flood-led county labels do not settle property risk

Inland flood was the mutually exclusive leading-hazard label for 113 counties, while earthquake led in 7. These counts cover different counties and do not overlap, but a county's leading label is not evidence that every parcel has that exposure. The median county climate-loss ratio was 0.19%, and the 90th percentile was 0.39%. Floyd County measured 0.74%, Martin County 0.53% and Clay County 0.49%.

The county effective property-tax-rate distribution had a 0.68% median and a 0.56% to 0.86% 10th-to-90th-percentile range. Campbell County measured 1.01% with a $2,556 median tax, while Kenton County measured 0.98% with a $2,395 median tax. Tax and hazard costs should be screened separately because the packet does not supply parcel assessments, flood-zone determinations, insurance premiums or policy availability.

Evidence: FEMA National Risk Index — hazard loss ratios · Census ACS 5-year — effective property tax

Evidence selected for Kentucky

The ranges behind the analysis

Each row keeps its own unit and shows the measured 10th percentile, median and 90th percentile. A single-value row is labelled directly.

Price and rent momentumAre home values and asking rents moving together or separating?
10th pct.median90th pct.Home-value change-3.4%-0.5%2.2%Asking-rent change1.2%3.2%5.4%Rent minus price3.6%
Entry cost and affordabilityHow far do local prices, rents, incomes and HUD rent standards stretch?
10th pct.median90th pct.Gross yield5.4%6.1%8.5%Price / income2.9×3.8×4.4×Rent / income21.2%23.3%25.5%Home value$171K$253K$308K
Supply and resale conditionsWhat do permits, inventory, marketing time and price cuts say about pressure?
10th pct.median90th pct.Permits / 1k1.24.15.2Months of supply2.1×2.9×4.8×Days on market36 days46 days71 daysListings with cuts23.2%28.9%40.4%
Shape of the state

Distribution before conclusion

A statewide median can hide a wide spread. These SVG charts render at build time and carry no chart library or browser-side data request.

Metro score distribution12 scored metros · median 57.5
00–19320–39440–59560–79080–100
County evidence coverageEvery gap stays visible as missing—not estimated
28%33/120Rent100%120/120Climate100%120/120Migration
Highest measured metro gross yieldsscreening metric only · before expenses and financing
Paducah9.0%Somerset8.9%Huntington7.7%Murray7.7%Owensboro6.6%Danville6.4%Elizabethtown6.2%
Metro leaderboard

Markets touching Kentucky

Multi-state CBSAs appear in every member state. Score is still a metro score; no value is reweighted into a statewide ranking.

#MetroScorePriceRentYieldJobs
1Paducah, KY65$170k$1,2739.0%▲ 0.6%
2Huntington, WV63$168k$1,0787.7%▲ 0.4%
3Frankfort, KY62$254k$1,1495.4%▲ 2.5%
4Lexington, KY61$329k$1,5345.6%▲ 0.7%
5Owensboro, KY61$216k$1,1896.6%▲ 0.1%
6Richmond, KY59$267k$1,1535.2%▲ 1.1%
7Cincinnati, OH56$313k$1,5836.1%▲ 0.2%
8Murray, KY56$173k$1,1127.7%▼ 0.2%
9Bowling Green, KY46$266k$1,2785.8%▲ 0.8%
10Clarksville, TN37$294k$1,3365.5%▲ 0.2%
11Louisville, KY37$284k$1,3855.9%▼ 0.8%
12Elizabethtown, KY36$252k$1,2986.2%▼ 0.4%

Showing the top 12 scored metros of 14. Unscored metros remain discoverable through the national rankings.

Below the metro line

Largest counties in Kentucky

County figures join on the five-digit FIPS code. The table uses measured local values and prints “n/a” wherever a publisher has no record.

CountyPopulationPriceRentYieldHazard
Jefferson County, KY783,022$271k$1,4006.2%inland flooding
Fayette County, KY323,725$336k$1,5515.5%inland flooding
Kenton County, KY171,288$292k$1,5076.2%inland flooding
Warren County, KY140,918$294k$1,2865.3%inland flooding
Boone County, KY139,841$354k$1,7065.8%inland flooding
Hardin County, KY111,942$250k$1,2876.2%inland flooding
Daviess County, KY103,648$222k$1,1716.3%inland flooding
Madison County, KY95,769$287k$1,1564.8%inland flooding
Campbell County, KY93,426$300k$1,5636.3%inland flooding
Bullitt County, KY84,027$299k$1,5136.1%inland flooding
Christian County, KY72,069$205k$1,0956.4%inland flooding
Oldham County, KY69,257$453k$1,8925.0%inland flooding
County yield sample33/120counties have the rent needed to compute yield
Statewide net migration+2,207IRS tax-return households summed across counties
Median investor share8.6%among counties with HMDA purchase records
Sources used in this analysis

Measured releases, not a global source count

Only sources supporting the selected evidence modules are listed here.

Bear case

What can break the thesis

  1. Rent-change coverage is limited to 12 metros, and county market-rent data cover only 33 of 120 counties, leaving substantial rural and small-market gaps.
  2. Asking-rent and modeled home-value indexes do not establish achieved lease rents, transaction prices or the condition and mix of a subject property.
  3. Gross yield excludes vacancy, maintenance, capital spending, management, financing, property tax and insurance, any of which can overturn the headline spread.
  4. Positive migration is statewide and from a different period than current employment and housing measures, so it may not describe present demand in a selected metro.
  5. County vacancy, hazard and loss-ratio measures cannot establish rentable unit availability, parcel exposure or an obtainable insurance premium.
Investor questions

Before underwriting a property

Are rents clearly outrunning home values across the measured metros?

At the distribution medians, yes: rent growth was 3.2% and home-value change was -0.5%, a supplied difference of 3.6 percentage points. Rent change was available for 12 metros, however, and the result does not establish the pattern for every locality or property.

Do the highest cited gross yields come with similar affordability conditions?

No. Paducah's gross yield was 9.0% with rent equal to 23.8% of measured median income, while Somerset's yield was 8.9% with a 31.5% rent-to-income ratio. Similar headline yields can therefore carry different tenant-income constraints.

How liquid are measured resale markets?

The 14-metro median was 45.5 days on market with 2.9 months of supply and a 97.9% sale-to-list ratio. Conditions were slower in Bowling Green at 86 days and 5.2 months of supply, and in Somerset at 65 days and 4.9 months.

Do jobs and migration support the rental-demand case?

They provide a limited positive counter-signal. Median metro employment growth was 0.5%, and statewide county migration was positive by 2,207 people, or 0.5 per 1,000 residents. The figures are too aggregated and differently timed to prove demand for a particular rental.

Does an inland-flood county label establish that a property is exposed?

No. Inland flood was the mutually exclusive leading-hazard label for 113 counties, but that is a county classification rather than a parcel determination. Property screening still requires parcel-level hazard, insurance and tax information.