States / Maryland
State rental intelligence

Maryland rental market data

A source-traced view across 7 metro markets and 24 counties. State figures below are labelled medians and totals—not a made-up statewide investment score.

6/7 metros scored24/24 counties with FEMA risk14 sources used in this analysis
Median scored metro45.5out of 100 · 6 measured metros
Maryland identity diorama showing regional landscape, cities, housing, and infrastructure
Median metro home value$395kmedian across published metro values
Median metro rent$1,928monthly · published metro values
Median gross yield5.9%annual rent ÷ price · before costs
Median job trend▼ 0.2%trailing 12-month metro employment
Direct monthly rental evidence

Maryland rent market dynamics

Apartment List measures recent leases, rental vacancy and listing time separately. These figures do not replace Zillow, Census or Realtor measures elsewhere on this page.

Recent-lease rent$1,8322026-07 · ▼ 0.3% year over year
Rental Vacancy Index5.7%2026-07 · −0.1 pp in 12 months
Time on market27 days2026-07 · +2 days in 12 months
US recent-lease rent$1,3882026-07 · ▼ 1.1% year over year
Rent and rental vacancy through timesolid state series · dashed national series · no interpolation across missing observations
Recent-lease rent$1,933$1,454$975Rental Vacancy Index7.8%5.3%2.7%2017-012021-102026-07MarylandUnited States
State research brief

Across measured metros, asking-rent growth outpaced home-value growth, yet the direct state recent-lease rent fell while net migration and median metro job growth were negative.

Updated 2026-08-08 · evidence current to the releases listed below.

Maryland's metro indicators do not support one statewide rent-growth assumption. Median Zillow asking-rent growth was 2.7% across six measured metros, compared with 1.5% median home-value growth across seven; the packet reports a 1.2 percentage-point gap. In contrast, Apartment List's separate state recent-lease measure fell 0.3% to $1,832. The difference is decision-useful rather than contradictory because the sources measure different rental coverage and concepts.

Demand and liquidity also split. Net migration was negative, median metro job growth was slightly negative and recent-lease marketing time lengthened, but rental vacancy declined and several named metros posted job gains. Screening therefore needs locality-specific achieved rent, lease-up, resale and expense tests. The packet cannot establish property-level occupancy, condition, insurance cost or net operating income, and annual metro rent growth covers only six of the state's seven measured metros.

01

Metro median asking-rent growth of 2.7% versus 1.5% home-value growth → screen local rent-to-price repricing rather than applying one statewide yield assumption

02

State recent-lease rent down 0.3%, vacancy down about 0.1 percentage point and marketing time up 1.7 days → test achieved rent and lease-up separately

03

Net migration of negative 2.2 per 1,000 and negative 0.2% median metro job growth → require local demand confirmation despite positive job growth in several named metros

04

Cambridge at 6.4 months of resale supply and a 30.7% price-drop share → apply a more conservative exit-liquidity screen there

05

County climate-loss ratios above the 0.125% 90th percentile in the three named counties → obtain parcel-level hazard and insurance evidence before treating gross yield as comparable

01
Price and rent momentum

Asking-rent growth leads home-value growth across the metro medians

Home values rose by a median 1.5% across seven measured metros, while asking rents rose by a median 2.7% across the six with annual rent data. The packet's median rent-minus-price growth gap is 1.2 percentage points. Because the rent and price medians have different coverage, this is a distribution-level signal rather than proof that every metro experienced the same spread.

The named markets reinforce the direction but show different economics. Philadelphia, PA recorded 3.8% rent growth and 2.5% value growth with a 5.9% gross yield. Cumberland recorded 3.6%, 3.2% and 7.0%, respectively, while Hagerstown recorded 3.0%, 2.7% and 5.9%. Cumberland's stronger measured gross yield makes it a different screen from the two similarly yielding markets, but gross yield does not establish expenses or realized net income.

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

02
Direct state rental dynamics

Lower rental vacancy came with softer recent-lease rent

Apartment List's state recent-lease rent was $1,832 in July 2026, down from $1,838 a year earlier, a 0.3% decline. Its separate Vacancy Index fell from 5.8% to 5.7%, a decrease of about 0.1 percentage point.

The separate time-on-market series moved the other way, rising 1.7 days from 25.0 to 26.7 days. Lower measured vacancy is a counter-signal to the softer rent and longer marketing time. These series should not be combined into one tightness score, and the Zillow metro asking-rent growth rates should not be carried directly into achieved-rent assumptions.

Evidence: Apartment List Rent Estimates — recent-lease rent index · Apartment List Time on Market — listing liquidity · Apartment List Vacancy Index — rental vacancy

03
Employment and household movement

Out-migration and soft median job growth meet a positive income counter-signal

Migration records cover all 24 counties: 170,343 people moved in and 184,001 moved out, producing net migration of negative 13,658, or negative 2.2 per 1,000 residents. The income measure points in the opposite direction. Reported aggregate AGI inflow was $1,783,010 versus $1,714,139 outflow, a positive gap of $68,871. That gap is aggregate, not income per mover, and does not establish rental household formation.

Job growth was also uneven. The median across seven metros was negative 0.2%, with the measured distribution running from negative 2.3% at the 10th percentile to positive 0.5% at the 90th. Easton grew 0.7%, Philadelphia, PA grew 0.3% and Cambridge grew 0.3%. These local gains are genuine counter-signals, but they do not erase the negative statewide migration total or establish demand near a specific property.

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

04
Supply and resale conditions

Among named resale markets, Cambridge has the deepest inventory buffer

Across five metros with Redfin resale measures, the medians were 4.5 months of supply, 52 days on market, price reductions on 28.4% of listings and a 98.9% sale-to-list ratio. The named markets split the exit-liquidity warning across dimensions. Cambridge had 6.4 months of supply, 54 days on market, a 30.7% price-drop share and a 97.1% sale-to-list ratio. Easton took longer at 66 days, with 4.5 months of supply, 28.4% price drops and a 97.6% sale-to-list ratio. Cumberland was closer to list price at 99.1%, with 4.8 months of supply and 52 days on market.

Permit activity is a separate supply indicator. Easton authorized 216 units, or 5.7 per 1,000 residents. Hagerstown authorized 1,610, or 5.3 per 1,000, while showing 2.9 months of resale supply, 45 days on market and a 23.7% price-drop share. Permit authorizations do not establish completion dates or future rents, and the resale measures cover only five of the seven metros.

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

05
Housing stock and tenant conditions

High all-housing vacancy is not the same as available rental stock

The median ACS all-housing vacancy rate across 24 counties was 8.0%, and the 90th percentile was 21.9%. Named counties were much higher: Worcester County was 57.6% vacant, Garrett County 32.5% and Somerset County 23.6%. Their renter shares were 22.0%, 20.3% and 26.9%, respectively, while single-family shares were 52.3%, 84.2% and 75.0%. These all-housing vacancy rates do not identify units available for long-term rental and must not be substituted for Apartment List's rental Vacancy Index.

Affordability pressure is broad in the county data: the median share of renters spending at least 30% of income on rent was 49.4% across 24 counties. The named burden rates were 59.6% in Kent County, 56.0% in Dorchester County and 55.8% in Caroline County. That weakens support for aggressive rent assumptions in those screens, but burden rates do not reveal property-level collections, tenant credit or achievable rents.

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

06
Physical risk and property tax

County hazard-loss and tax screens point to different cost hotspots

Each county-level area has one mutually exclusive leading-hazard label: inland flood for 19, hurricane for 3 and coastal flood for 2. These are leading-hazard classifications, not findings that every parcel in an area has that exposure.

The median county climate-loss ratio was 0.072%, and the 90th percentile was 0.125%. Somerset County measured 0.267%, Dorchester County 0.175% and Worcester County 0.128%. Tax hotspots were different: the measured county median effective rate was 0.90%, while Baltimore city was 1.46% with a $3,354 median tax, Howard County was 1.17% with $6,987 and Prince George's County was 1.12% with $4,771. Neither the loss ratios nor county tax measures provide a parcel insurance quote, assessment history or full operating-cost estimate.

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

State ZIP rental intelligence

How direct rental evidence varies inside Maryland

The distribution uses 19 current published ZIP reports across 9 cities and 5 counties. Twelve measured counter-signals are shown below; this is not a statewide neighborhood ranking.

Published ZIP rent range$1,391$2,535full direct-ZORI report cohort
Median rent / income27.3%annual asking rent ÷ ACS household income
Median one-year growth▲ 2.6%exact direct Zillow endpoints
Renter households covered149,636across published ZCTA matches
01 · RENT DISPERSIONRepresentative direct ZIP ZORI
Horizontal bars compare direct Zillow asking-rent indexes for the twelve representative published ZIP reports.21122$2,53521043$2,42121231$2,32721224$2,11820910$2,06220906$1,89521117$1,84521286$1,77221216$1,68721217$1,63721215$1,40521218$1,391
02 · AFFORDABILITY PRESSURERent / income × observed burden
Horizontal position is annual Zillow asking rent divided by ACS median household income. Vertical position is the ACS share of renter households paying thirty percent or more.62.6%56.5%50.5%44.4%38.4%209102111721217212152121820906212242121621043212312128621122Annual asking rent / ACS household income →ACS renter burden share →
03 · PATH QUALITYOne-year growth × variability
Each point compares exact one-year Zillow asking-rent growth with annualized variability from the direct monthly series.5.1%4.1%3.1%2.1%1.1%209102111721217212152121820906212242121621043212312128621122Exact one-year Zillow rent growth →Annualized monthly variability →
WHAT THE STATE DISTRIBUTION SAYS

Across Maryland’s 19 current published direct-evidence ZIP reports, Zillow’s observed asking-rent index ranges from $1,391 to $2,535, a $1,144 spread around a $1,845 median. This is material within-state dispersion, not a single statewide asking-rent condition. The practical ZIP-level question is consequently not simply where the index is lowest; it is whether the local asking-rent level, household-income screen, renter burden, recent trajectory, and administrative benchmark offer a consistent or conflicting read. The displayed rows are a 12-report view selected to preserve measured extremes and fill by renter households. The distribution nevertheless contains only current published direct-evidence ZIP reports, not every Maryland ZIP, neighborhood, or rental property.

An affordability screen and a renter-burden estimate do not measure the same thing. In this distribution, when annualized against ACS median household income, current ZORI asking rent is 19.6%51.1%, with a 27.3% median; that is a cross-source ratio rather than a count of households paying that share. The ACS estimate of renter households spending 30% or more of income on gross rent instead ranges from 40.9% to 60.1%, with a 49.4% median. ZIP 21043 illustrates the distinction: its $2,421 index produces a 19.6% income screen and a 41.0% reported burden share. In ZIP 21217, the lower $1,637 index produces a 51.1% screen and a 51.8% burden share. Income and burden inputs are ACS five-year estimates for ZCTAs, statistical areas that do not exactly match USPS delivery ZIPs.

Rent momentum requires a separate reading from volatility. In the direct monthly ZORI series, one-year annualized change spans −2.8% to 7.0%, whereas annualized volatility runs from 2.1% to 4.1%. ZIP 21224 has positive one-year growth and volatility at the low end of that range; ZIP 21216 has a negative one-year change and volatility at the upper end. Thus a latest growth sign alone does not describe the regularity of the monthly path. Volatility captures variation in that direct series, while maximum drawdown is a distinct measure of the largest historical peak-to-trough decline. These backward-looking measures clarify observed patterns, not a forecast of rent changes.

HUD supplies a different decision reference rather than a second observation of market asking rent. The ZORI-to-HUD two-bedroom ratio has a 94.3% median across published reports and spans 74.9% to 136.5%. It compares the ZIP-level ZORI asking-rent index with an FMR/SAFMR administrative bedroom standard, so a result above or below 100% does not establish what any specific unit should rent for. The comparison cannot substitute for property-level facts, including unit size, condition, lease terms, utilities, or concessions. It is best used alongside, rather than as an override of, the direct asking-rent series and the separate ACS income and burden evidence.

Representative direct evidence

Twelve useful contrasts, every one traceable

The statewide summaries use all 19 qualifying reports. The table preserves measured extremes in rent, affordability, burden, momentum, volatility and the HUD benchmark gap.

ZIP reportPlaceZillow rent1Y growthRent / incomeBurden 30%+VariabilityHUD 2BR gap
20910Silver Spring$2,062▼ 2.6%22.1%47.3%2.2%▲ 79.9%
21117Owings Mills$1,845▲ 1.9%21.7%49.4%2.6%▲ 99.4%
21217Baltimore$1,637▲ 4.4%51.1%51.8%4.1%▲ 88.2%
21215Baltimore$1,405▲ 6.3%32.7%60.1%2.7%▲ 75.7%
21218Baltimore$1,391▼ 1.6%26.7%52.1%2.9%▲ 74.9%
20906Silver Spring$1,895▼ 2.8%23.3%56.6%2.8%▲ 86.5%
21224Baltimore$2,118▲ 4.3%28.6%45.0%2.1%▲ 114.1%
21216Baltimore$1,687▼ 1.2%48.2%57.6%4.1%▲ 90.8%
21043Ellicott City$2,421▲ 4.1%19.6%41.0%2.3%▲ 130.4%
21231Baltimore$2,327▲ 2.5%32.8%40.9%3.3%▲ 125.3%
21286Towson$1,772▲ 7.0%22.7%49.2%2.7%▲ 95.4%
21122Pasadena$2,535▲ 2.9%23.8%47.7%3.1%▲ 136.5%
READ BEFORE USING

Zillow ZORI is an observed asking-rent index rather than a signed-lease, unit-specific, or bedroom-specific measure. Its direct monthly history supports the stated growth, volatility, and drawdown calculations, but it cannot identify the rent, availability, or characteristics of an individual property.

ACS household-income and renter-burden values are 2024 five-year estimates for Census ZCTAs, statistical geographies that do not exactly coincide with USPS delivery ZIPs. The HUD FMR/SAFMR figure is an administrative two-bedroom benchmark, and the published-report distribution omits ZIPs without current direct evidence.

SOURCE LEDGERCensus ACS five-year — ZCTA housing and incomeACS 2024 5-year ZCTA · pulled 2026-08-08HUD USPS crosswalk and Small Area FMRs — ZIP rent fallbackZIP-CBSA 2025Q4 + SAFMR FY2026 · pulled 2026-07-26Zillow ZORI — ZIP market rentsZORI ZIP 2026-06 · pulled 2026-08-08
Evidence selected for Maryland

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-0.2%1.5%2.9%Asking-rent change-0.0%2.7%3.7%Rent minus price1.2%
Employment and household movementDo jobs, household movement and mover income point in the same direction?
10th pct.median90th pct.Job change-2.3%-0.2%0.5%Net migration / 1k-2.2Net household movement-13,658
Supply and resale conditionsWhat do permits, inventory, marketing time and price cuts say about pressure?
10th pct.median90th pct.Permits / 1k1.63.05.5Months of supply2.7×4.5×5.8×Days on market35 days52 days61 daysListings with cuts24.1%28.4%30.8%
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 distribution6 scored metros · median 45.5
00–19120–39540–59060–79080–100
County evidence coverageEvery gap stays visible as missing—not estimated
83%20/24Rent100%24/24Climate100%24/24Migration
Highest measured metro gross yieldsscreening metric only · before expenses and financing
Cambridge7.6%Cumberland7.0%Philadelphia5.9%Hagerstown5.9%Baltimore5.7%Easton5.6%Washington5.0%
Metro leaderboard

Markets touching Maryland

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

#MetroScorePriceRentYieldJobs
1Philadelphia, PA59$395k$1,9285.9%▲ 0.3%
2Hagerstown, MD49$329k$1,6015.9%▼ 0.2%
3Baltimore, MD47$408k$1,9365.7%▼ 1.2%
4Cumberland, MD44$173k$1,0117.0%▼ 2.3%
5Easton, MD41$498k$2,3105.6%▲ 0.7%
6Washington, DC29$585k$2,4485.0%▼ 2.3%

Showing the top 6 scored metros of 7. Unscored metros remain discoverable through the national rankings.

Below the metro line

Largest counties in Maryland

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
Montgomery County, MD1,065,949$627k$2,3464.5%inland flooding
Prince George's County, MD959,754$434k$1,9515.4%inland flooding
Baltimore County, MD850,796$368k$1,7285.6%inland flooding
Anne Arundel County, MD598,166$514k$2,3705.5%inland flooding
Baltimore city, MD573,243$189k$1,80111.4%inland flooding
Howard County, MD336,328$644k$2,3994.5%inland flooding
Frederick County, MD287,048$509k$2,2175.2%inland flooding
Harford County, MD263,757$425k$1,8975.3%inland flooding
Carroll County, MD175,321$500k$1,8264.4%inland flooding
Charles County, MD170,527$454k$2,3286.2%inland flooding
Washington County, MD155,709$335k$1,4445.2%inland flooding
St. Mary's County, MD115,126$440k$1,8725.1%inland flooding
County yield sample20/24counties have the rent needed to compute yield
Statewide net migration−13,658IRS tax-return households summed across counties
Median investor share7.0%among counties with HMDA purchase records
Bear case

What can break the thesis

  1. The main rent-growth thesis depends on source and coverage: Zillow annual asking-rent growth covers six metros, while Apartment List measures recent leases at state level and shows a decline.
  2. IRS migration covers 2022-2023, while several rent and listing measures are from 2026; the timing mismatch limits direct demand interpretation.
  3. Redfin resale liquidity measures cover five of seven metros, so the observed median cannot describe the two unmeasured markets.
  4. ACS county vacancy covers all housing and does not identify long-term rental availability, property occupancy or unit condition.
  5. Gross yields omit financing, repairs, management, insurance and other operating costs; FEMA leading-hazard labels also do not establish parcel-level exposure.
Investor questions

Before underwriting a property

Are Maryland rents rising or falling?

It depends on the measure. Zillow asking rents rose a median 2.7% across six metros, while Apartment List's separate state recent-lease rent fell 0.3% to $1,832. The packet does not support treating either as every property's achieved rent.

Does the demand evidence support broad rent growth?

Not broadly. Net migration was negative 13,658, or negative 2.2 per 1,000 residents, and median metro job growth was negative 0.2%. Positive aggregate mover AGI and job gains in Easton, Philadelphia, PA and Cambridge are counter-signals that require local interpretation.

Which named market has the clearest resale-liquidity concern?

No market is weakest on every measure. Cambridge had the most supply at 6.4 months and the highest named price-drop share at 30.7%, while Easton had the longest marketing time at 66 days.

Do high county vacancy rates indicate abundant rentals?

No. The ACS figures cover all housing. Worcester County's 57.6%, Garrett County's 32.5% and Somerset County's 23.6% vacancy rates do not establish how many units are offered for long-term rent.

What property-level evidence is still needed?

The packet does not provide achieved rent rolls, unit condition, operating expenses, assessment history, insurance quotes or parcel-level hazard exposure. Those gaps prevent the metro and county screens from establishing net operating income or property-specific risk.