Rental market · ZIP 99926 · Metlakatla, AK

ZIP 99926, Metlakatla, AK rental market

Population 1,334 · Metlakatla, Prince of Wales-Hyder Census Area, AK · ZIP Code Tabulation Area

Ranked · ACS 2024 5-year

CGRADE
48.8/100 · Rental Investor ZIP Score
National rank #9,100 of 20,132 scored ZIP Codes
AK rank #23 of 73 · data confidence: moderate

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 48.8 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.

Cash Flow & Affordability ZIP data
83
Local Demand & Market Quality ZIP data
36
Surrounding-Market Growth county / place context
34
Stability & Risk ZIP + place context
43

Why it ranks here: rent sits high relative to price and taxes (solid cash-flow/affordability).

Watch: the surrounding market is flat or declining. survey margins of error are wider here (data confidence: moderate).

Scored on incomplete measured inputs: this ZIP is missing measured 3-yr home-value growth (Zillow), measured market-heat index (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. 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.

Overall Rental Investor ZIP Score
55th percentile
Cash Flow & Affordability
98th percentile
Local Demand & Market Quality
23rd percentile
Surrounding-Market Growth county / place context
36th percentile
Stability & Risk ZIP + place context
39th percentile
← 0th percentile50th (median)100th percentile →

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: 11 national factor percentiles

Cash Flow & Affordabilityweight 25% · category score 83

Gross rental yieldZIP observation
61st
Price to incomeZIP observation
92nd
Rent as a share of incomeZIP observation
98th

Local Demand & Market Qualityweight 30% · category score 36

Population scaleZIP observation · scale, not quality
11th
Renter-household depthZIP observation · scale, not quality
22nd
Renter share of householdsZIP observation
69th
Rental vacancyZIP observation
44th

Surrounding-Market Growthweight 25% · category score 34

County population growthcounty context
34th

Stability & Riskweight 20% · category score 43

Median year builtZIP observation
64th
ACS data confidenceZIP observation
24th
Recently built shareZIP observation
40th

Every figure here is the frozen model’s own national percentile for one factor, read from the published ZIP dataset: 11 of the 15 factors this model defines were available for this ZIP Code. 4 of them could not be measured here (property-tax burden, market heat (zillow measured), surrounding-market growth, surrounding-market stability) 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. Nothing on this panel is recomputed here, and a factor percentile is not a score.

Key metrics

1,334
Population

±180 ±13.4% moderate

$167,600
Median home value (ACS, owner-reported)

±$23,000 ±13.5% moderate

$808
Median gross rent (ACS, incl. utilities)

±$160 ±19.7% moderate

5.8%
Survey gross-rent yield (proxy)

Derived from ACS estimates: no published margin of error

$72,279
Median household income

±$9,500 ±13.2% moderate

4.4%
Rental vacancy

Derived from ACS estimates: no published margin of error

32.0%
Renter share

Derived from ACS estimates: no published margin of error

1983
Median year built

±4 years margin in years; a share of a year number would not mean anything

12.6%
Multifamily (5+ units)

Derived from ACS estimates: no published margin of error

Data vintage: ACS 2024 5-year · data confidence: moderate. Of the 9 figures above, 5 carry the Census Bureau's published 90% margin of error, printed on the card in the figure's own units and as a share of the estimate; and 4 are ratios derived from those estimates, which the Census Bureau publishes no margin for. The bar and the band word restate that printed share in three bands: tight under ±10%, moderate ±10% to ±25%, wide ±25% and over. A median year built is given a margin in years only, because a margin stated as a share of a year number would not mean anything; the bar is full at ±40%. A wider margin does not make an area worse, only less precisely measured.

Market context

Trend context

Loading home value context…

View source data

Each point is one ACS 5-year estimate on the same 2020-Census ZCTA boundary. Adjacent releases overlap, so the release-to-release differences are not independent annual market movement.

ACS estimates by release; ± is the margin of error.
Series2017–20212018–20222019–20232020–2024
Median home value B25077$155,600 ±$34,462$163,900 ±$17,427$160,500 ±$30,375$167,600 ±$22,653
Median gross rent B25064$600 ±$143$807 ±$373$742 ±$94$808 ±$159
Population B010031,445 ±1551,465 ±1411,385 ±1651,334 ±179

ACS 2021 release

2017-2021 five-year estimate

Median home value B25077
$155,600Margin of error ±$34,462
Median gross rent B25064
$600Margin of error ±$143
Population B01003
1,445Margin of error ±155

ACS 2022 release

2018-2022 five-year estimate

Median home value B25077
$163,900Margin of error ±$17,427
Median gross rent B25064
$807Margin of error ±$373
Population B01003
1,465Margin of error ±141

ACS 2023 release

2019-2023 five-year estimate

Median home value B25077
$160,500Margin of error ±$30,375
Median gross rent B25064
$742Margin of error ±$94
Population B01003
1,385Margin of error ±165

ACS 2024 release

2020-2024 five-year estimate

Median home value B25077
$167,600Margin of error ±$22,653
Median gross rent B25064
$808Margin of error ±$159
Population B01003
1,334Margin of error ±179

Source: U.S. Census Bureau, American Community Survey 5-year, table-based Summary File (ZCTA geography); tables B25077 (median value), B25064 (median gross rent), and B01003 (population); estimate + margin of error. Missing releases remain gaps and are never interpolated. Home value is owner-reported; gross rent describes renter housing stock; population is a ZCTA estimate. Dollar figures are nominal.

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.

Evidence, sources & limitations

Official geography: Metlakatla CDP, Prince of Wales-Hyder Census Area. Analytical entity: the U.S. Census ZIP Code Tabulation Area (ZCTA) 99926, 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 Prince of Wales-Hyder Census Area, overlapping Metlakatla, by land-area overlap from the official Census 2020 ZCTA relationship files (not population or address share).

Populationsurvey ACS B01003 · ±13.4% margin of error
Median home value (ACS, owner-reported)survey ACS B25077 · ±13.5% margin of error
Median gross rent (ACS, incl. utilities)survey ACS B25064 · ±19.7% margin of error
Survey gross-rent yield (proxy)derived 12 * ACS B25064 / B25077 · no published margin of error
Median household incomesurvey ACS B19013 · ±13.2% margin of error
Rental vacancyderived ACS B25004 E002 / (B25003 E003 + B25004 E002) · no published margin of error
Renter sharederived ACS B25003 E003/E001 · no published margin of error
Median year builtsurvey ACS B25035 · ±<1% 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.