Rental market · ZIP 78548 · La Grulla, TX

ZIP 78548, La Grulla, TX rental market

Population 1,341 · La Grulla, Starr County, TX · ZIP Code Tabulation Area

Ranked · ACS 2024 5-year

CGRADE
45.8/100 · Rental Investor ZIP Score
National rank #10,546 of 20,132 scored ZIP Codes
TX rank #954 of 1,236 · data confidence: high

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 45.8 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
59
Local Demand & Market Quality ZIP data
30
Surrounding-Market Growth county / place context
47
Stability & Risk ZIP + place context
51

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. 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
48th percentile
Cash Flow & Affordability
70th percentile
Local Demand & Market Quality
13th percentile
Surrounding-Market Growth county / place context
48th percentile
Stability & Risk ZIP + place context
55th 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: 13 national factor percentiles

Cash Flow & Affordabilityweight 25% · category score 59

Gross rental yieldZIP observation
98th
Price to incomeZIP observation
98th
Property-tax burdenZIP observation
40th
Rent as a share of incomeZIP observation
3rd

Local Demand & Market Qualityweight 30% · category score 30

Population scaleZIP observation · scale, not quality
11th
Renter-household depthZIP observation · scale, not quality
9th
Renter share of householdsZIP observation
19th
Rental vacancyZIP observation
86th
Market heat (Zillow measured)ZIP observation
28th

Surrounding-Market Growthweight 25% · category score 47

County population growthcounty context
47th

Stability & Riskweight 20% · category score 51

Median year builtZIP observation
76th
ACS data confidenceZIP observation
36th
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: 13 of the 15 factors this model defines were available for this ZIP Code. 2 of them could not be measured here (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

1,341
Population

±560 ±42% wide

$54,400
Median home value (ACS, owner-reported)

±$10,000 ±18.6% moderate

$791
Median gross rent (ACS, incl. utilities)

±$60 ±7.6% tight

17.4%
Survey gross-rent yield (proxy)

Derived from ACS estimates: no published margin of error

$37,308
Median household income

±$23,000 ±63% wide

0.0%
Rental vacancy

Derived from ACS estimates: no published margin of error

14.6%
Renter share

Derived from ACS estimates: no published margin of error

0.9%
Estimated property-tax burden

Derived from ACS estimates: no published margin of error

1988
Median year built

±8 years margin in years; a share of a year number would not mean anything

2.3%
Multifamily (5+ units)

Derived from ACS estimates: no published margin of error

Data vintage: ACS 2024 5-year · data confidence: high. Of the 10 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 5 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$47,500 ±$8,327$43,100 ±$12,524$52,300 ±$11,034$54,400 ±$10,122
Median gross rent B25064$670 ±$204$783 ±$72$803 ±$69$791 ±$60
Population B010031,412 ±4181,384 ±4641,456 ±4031,341 ±563

ACS 2021 release

2017-2021 five-year estimate

Median home value B25077
$47,500Margin of error ±$8,327
Median gross rent B25064
$670Margin of error ±$204
Population B01003
1,412Margin of error ±418

ACS 2022 release

2018-2022 five-year estimate

Median home value B25077
$43,100Margin of error ±$12,524
Median gross rent B25064
$783Margin of error ±$72
Population B01003
1,384Margin of error ±464

ACS 2023 release

2019-2023 five-year estimate

Median home value B25077
$52,300Margin of error ±$11,034
Median gross rent B25064
$803Margin of error ±$69
Population B01003
1,456Margin of error ±403

ACS 2024 release

2020-2024 five-year estimate

Median home value B25077
$54,400Margin of error ±$10,122
Median gross rent B25064
$791Margin of error ±$60
Population B01003
1,341Margin of error ±563

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.

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 index42

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

Some buyer leverage (72nd 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 78548

1 ZIP Code area shares a land boundary with 78548 in the official Census 2020 ZCTA map, ordered by shared-boundary length, not ZIP-number proximity or driving distance. 1 of them is in CE’s ranked set and is 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 78548, 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: La Grulla city, Starr County. Analytical entity: the U.S. Census ZIP Code Tabulation Area (ZCTA) 78548, 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 Starr County, overlapping La Grulla, by land-area overlap from the official Census 2020 ZCTA relationship files (not population or address share).

Populationsurvey ACS B01003 · ±42% margin of error
Median home value (ACS, owner-reported)survey ACS B25077 · ±18.6% margin of error
Median gross rent (ACS, incl. utilities)survey ACS B25064 · ±7.6% margin of error
Survey gross-rent yield (proxy)derived 12 * ACS B25064 / B25077 · no published margin of error
Median household incomesurvey ACS B19013 · ±63% 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
Estimated property-tax burdenderived ACS B25103 / B25077 · 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.