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Tarrant County, TX — Auto repair Saturation

How many auto repair exist per person present — residents plus daytime workers — by ZIP code, compared with the U.S. average. Establishment data: Census ZBP 2023. Population: ACS 2024 5-year. 86 ZIP codes analyzed.

Includes: Auto repair & maintenance shops · Body, paint & interior repair. Counted together because official statistics use one 811121 code.

Measured density: Range spans bands — 0.88× the U.S. rate (between 0.88× and 1.15× once withheld ZIP cells are counted)

Why a range: Census does not publish a ZIP-by-industry count when that ZIP has 0–2 businesses. 50 ZIP cells in this county are withheld, 29 of them with residents. Each could hold 0, 1, or 2 businesses: counting them all as 0 gives the low end, counting them all as 2 gives the high end — the data cannot say where the truth sits. The density range uses only the populated cells, since ZIPs without residents are excluded from per-person rates. How ranges work

Range spans the U.S. rate   Tarrant County auto repair — 88–115% of the U.S. rate

191 auto repair are counted in Tarrant County — 0.8 per 10,000 people present (residents + daytime workers), 88% of the U.S. rate of 0.9.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 25% between 2015 and 2023 (106 → 132). That set is smaller than today's county total. 2020–2021 were pandemic-distorted, and Census rounds counts, so small moves are within noise.

Measured supply density is highest in 76060 (Kennedale), 76015 (Arlington), 76034 (Colleyville) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 76244 (Keller), 76137 (Fort Worth), 76131 (Fort Worth).

BLS QCEW puts the latest county-wide count (2026 Q1) at 205 establishments, the freshest available signal.

Measured density: Tarrant County sits at 88% of the U.S. rate for auto repair. 29 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 88% and 115% of the U.S. rate. Why. The highest measured density is in 76060 and 76015; the lowest measured density is in 76244 and 76137.

This is a supply-side read: it counts existing auto repair and the people present, not foot traffic, income, rent, or whether locals want more. Treat low density as a question to check, not an answer.

Auto repair
191–291
published count; upper bound counts each withheld ZIP cell as 2 (50 cells) (2023)
Per 10,000 present
0.8
residents + daytime workers
U.S. average
0.9
per 10,000 present
County index
0.88×
vs. U.S.
Latest quarter (QCEW)
205
2026 Q1 — county total
Residents
2,091,100
65 ZIPs with data
Workers
824,477
jobs located in county

Is the area growing?

Population
2,230,708
Census PEP, July 1 2024
Change since 2020
+5.4%
+114,411 people
Net migration 2024
+19,503
international +22,666, domestic −3,163
Jobs located here
1,038,379
LODES 2022, +5.8% since 2019

Tarrant County had an estimated 2,230,708 residents on July 1, 2024 — 5.4% more than in 2020 (+114,411). In the latest year it gained 32,793 people: births minus deaths +13,170, international migration +22,666, domestic migration −3,163. Components are published separately and may not sum exactly.

1,038,379 jobs were located in the county in 2022 (+5.8% since 2019), and 1,009,723 employed residents lived there (+4.0% since 2019). LODES counts wage and salary jobs covered by unemployment insurance plus federal jobs; it excludes the self-employed and military, and counts jobs rather than unique people. 2019→2022 spans the pandemic, so read it as one change, not a trend.

Population and migration say whether the customer base is growing. They do not say whether people want another business of this type. Definitions and limits →  ·  Full county detail →

ZIP gaining residents
2015–19 → 2020–24
Change
76177 Fort Worth
+113.9%
76052 Haslet
+53.7%
76036 Crowley
+33.2%
ZIP losing residents
2015–19 → 2020–24
Change
76051 Grapevine
−5.0%

ACS 5-year estimates for 2015–2019 and 2020–2024. Only ZIPs with at least 2,000 residents in both windows and a change larger than the survey margin of error (90%) are listed — small ZIPs move a lot on paper without a real signal.

Nonemployer businesses

Not shown. Census publishes only a broader group that also includes auto glass shops, so an auto-repair-only nonemployer count is not published.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

Saturation map

Each ZIP area is shaded by its density of this business type per person present (residents + workers) vs. the U.S. average. Click any ZIP to zoom to its boundary, see its numbers, and switch to aerial imagery. Individual mapped shops appear as dots at street level — Show locations zooms you in to them (scroll or double-click to zoom).

Basemap:
Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size) Mapped shop (OpenStreetMap, street level)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more auto repair in that ZIP. They are aggregated, not individual shops. Turquoise dots are individual locations mapped in OpenStreetMap, shown only at street level; they are crowd-sourced and indicative, may be incomplete, and do not equal the official counts. Only the official ZIP totals feed the saturation index.

Market trend — up 25% since 2015

Number of auto repair in Tarrant County across 2015–2023, on a consistent set of ZIP codes present in every year — so changes are real, not ZIP-boundary artifacts. 2015/2018 are pre-pandemic baselines; 2020/2021 are COVID-distorted.

106
2015
124
2018
117
2020
119
2021
127
2022
132
2023

Highest measured density

ZIP
vs. U.S. average
Index
76060 Kennedale
545%
76015 Arlington
525%
76034 Colleyville
262%
76063 Mansfield
259%
76180 North Richland Hills
224%
76164 Fort Worth
222%
76111 Fort Worth
215%
76013 Arlington
202%
76012 Arlington
186%
76107 Fort Worth
182%
76182 North Richland Hills
179%
76117 Haltom City
178%
76148 Fort Worth
177%
76040 Euless
158%
76118 Fort Worth
145%

Lowest measured density

ZIP
vs. U.S. average
Index
76244 Keller
42%
76137 Fort Worth
48%
76131 Fort Worth
58%
76119 Fort Worth
78%
76133 Fort Worth
81%
76104 Fort Worth
89%
76053 Hurst
91%
76052 Haslet
92%
76020 Azle
93%
76112 Fort Worth
96%
76116 Fort Worth
101%
76011 Arlington
106%
76021 Bedford
112%
76051 Grapevine
113%
76114 Fort Worth
115%
Low measured density is not evidence of opportunity. A ZIP with few auto repair may simply lack foot traffic, retail space, or demand. We rank only residential and mixed ZIPs here; employment hubs and visitor destinations are listed separately below. ZIPs where Census did not publish a count (0–2 businesses) are not ranked: they may be the least served of all, but the data cannot tell 0 from 1 or 2. Verify those locally.

Employment hubs & destinations

These ZIPs have far more workers (or visitors) than residents, so their counts are driven by daytime and visitor demand — not a place to read "shortage" from resident numbers alone.

ZIPNeighborhoodType ResidentsWorkersAuto repairIndex
76102Fort Worth Employment hub 11,89538,332 0–2 —
76129Fort Worth Employment hub 1,6413,603 0–2 —
76155Fort Worth Employment hub 6,53321,169 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

Click a column header to sort. Index = auto repair per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersAuto repair Per 10kIndexStatus
76060Kennedale 9,4442,330 5 4.7 545% Very high density
76015Arlington 18,13512,133 11 4.5 525% Very high density
76034Colleyville 26,1039,511 7 2.3 262% Very high density
76063Mansfield 82,62531,455 22 2.2 259% Very high density
76180North Richland Hills 38,37116,055 9 1.9 224% High density
76164Fort Worth 13,4574,380 3 1.9 222% High density
76111Fort Worth 20,98911,896 5 1.9 215% High density
76013Arlington 35,7158,847 7 1.7 202% High density
76012Arlington 27,9916,142 5 1.6 186% High density
76107Fort Worth 30,99426,912 7 1.6 182% High density
76182North Richland Hills 30,2424,019 5 1.6 179% High density
76117Haltom City 32,95011,823 6 1.5 178% High density
76148Fort Worth 23,3675,562 4 1.5 177% High density
76040Euless 31,6779,683 5 1.4 158% High density
76118Fort Worth 17,99111,799 3 1.3 145% Above average
76140Fort Worth 33,32116,957 5 1.2 138% Above average
76179Fort Worth 80,09012,820 10 1.2 134% Above average
76177Fort Worth 25,01243,241 5 1.1 124% Above average
76248Keller 40,93611,601 5 1.1 124% Above average
76110Fort Worth 33,4418,177 4 1.1 123% Above average
76114Fort Worth 27,3575,521 3 1.0 115% Above average
76051Grapevine 50,61842,349 7 1.0 113% Above average
76021Bedford 35,35411,946 4 1.0 112% Above average
76011Arlington 22,75241,627 4 0.9 106% Above average
76116Fort Worth 49,85615,146 5 0.9 101% Above average
76112Fort Worth 44,5147,054 4 0.8 96% Below average
76020Azle 34,6025,035 3 0.8 93% Below average
76052Haslet 34,2496,918 3 0.8 92% Below average
76053Hurst 32,32311,167 3 0.8 91% Below average
76104Fort Worth 20,44336,773 3 0.8 89% Below average
76133Fort Worth 53,9586,698 4 0.7 81% Below average
76119Fort Worth 52,97412,811 4 0.7 78% Below average
76131Fort Worth 56,3227,065 3 0.5 58% Below average
76137Fort Worth 60,35222,727 3 0.4 48% Far below average
76244Keller 76,72812,777 3 0.4 42% Far below average
76010Arlington 54,97816,157 ~2 0.3 37% Far below average
76001Arlington 38,9135,926 0–2 — — Not published
76002Arlington 35,2651,926 0–2 — — Not published
76003Arlington —47 0–2 — — Not published
76004Arlington —208 0–2 — — Not published
76005Arlington 7,102530 0–2 — — Not published
76006Arlington 23,4468,020 0–2 — — Not published
76007Arlington —14 0–2 — — Not published
76014Arlington 32,8186,986 0–2 — — Not published
76016Arlington 31,2804,724 0–2 — — Not published
76017Arlington 47,07413,646 0–2 — — Not published
76018Arlington 26,83416,695 0–2 — — Not published
76019Arlington —771 0–2 — — Not published
76022Bedford 13,7605,969 0–2 — — Not published
76036Crowley 36,0444,274 0–2 — — Not published
76039Euless 39,8557,001 0–2 — — Not published
76054Hurst 11,7445,341 0–2 — — Not published
76092Southlake 31,52036,588 0–2 — — Not published
76094Arlington —26 0–2 — — Not published
76095Bedford —55 0–2 — — Not published
76096Arlington —38 0–2 — — Not published
76099Grapevine —253 0–2 — — Not published
76101Fort Worth —563 0–2 — — Not published
76102Fort Worth 11,89538,332 0–2 — — Not published
76103Fort Worth 15,9752,849 0–2 — — Not published
76105Fort Worth 22,2283,495 0–2 — — Not published
76106Fort Worth 35,94616,014 0–2 — — Not published
76108Fort Worth 45,53726,301 0–2 — — Not published
76109Fort Worth 26,00618,490 0–2 — — Not published
76113Fort Worth —35 0–2 — — Not published
76115Fort Worth 19,6555,153 0–2 — — Not published
76120Fort Worth 21,1023,632 0–2 — — Not published
76121Fort Worth —54 0–2 — — Not published
76123Fort Worth 42,9573,176 0–2 — — Not published
76124Fort Worth —292 0–2 — — Not published
76126Fort Worth 27,6896,605 0–2 — — Not published
76127Naval Air Station Jrb 1,729212 0–2 — — Not published
76129Fort Worth 1,6413,603 0–2 — — Not published
76130Fort Worth —70 0–2 — — Not published
76132Fort Worth 26,92715,665 0–2 — — Not published
76134Fort Worth 29,9497,973 0–2 — — Not published
76135Fort Worth 19,4457,068 0–2 — — Not published
76136Fort Worth —142 0–2 — — Not published
76147Fort Worth —34 0–2 — — Not published
76155Fort Worth 6,53321,169 0–2 — — Not published
76161Fort Worth —44 0–2 — — Not published
76162Fort Worth —51 0–2 — — Not published
76181Fort Worth —42 0–2 — — Not published
76185Fort Worth —232 0–2 — — Not published
76192Fort Worth —9 0–2 — — Not published
76196Fort Worth —50 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Fort Worth

The numbers above tell you how the market looks. To find a specific storefront, these marketplaces list available retail space for lease.

LoopNet
Largest commercial marketplace
Browse Fort Worth retail space →
Crexi
Free listings + market data
Browse Fort Worth retail space →
CityFeet
Retail space for lease
Browse Fort Worth retail space →

Open vacancy data (actual empty units) is only published by some cities; where it exists we show it directly. Listings above are third-party.

Census withholds some ZIP-by-industry cells to protect small businesses. 0–2 means the cell was not published (Census publishes industry counts only at 3+ per ZIP), so the ZIP is left unranked rather than counted as zero. ~ means the count is estimated from the broader industry group and can be off by a business or two.

Follow Tarrant County and auto repair

When a data vintage changes or a section of this report is revised, we post it to a public update feed. No email address, no account, no tracking — and nothing is sent unless something actually changed.

Subscribe to updates (RSS) How these numbers are built →

Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 811121 — automotive body, paint & interior repair. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. BLS QCEW (quarterly) is newer than ZBP — 2026 Q1 shows 205 establishments county-wide for this industry. It cannot be broken down by ZIP.

Population. U.S. Census American Community Survey 2024 5-year ZCTA population (table B01003). Workers are the ZIP's total employment from the same 2023 ZBP file.

Demand ("people present"). Demand comes from residents and daytime workers: residents + 0.5 × workers. This is the single documented assumption in the model and can be tuned.

Index. index = (ZIP establishments ÷ ZIP demand × 10,000) ÷ the U.S. average for this industry (0.87 per 10,000 present). It is a supply-side density measure; it does not capture income, rent, tourism, or whether locals actually want more.

Read the full methodology →  ·  Data sources & vintages →

BizGapMap — free, no-login small-business saturation reports for major U.S. counties. Built entirely from public U.S. Census, BLS, and IRS data (ZBP 2023, ACS 2024 5-year, PEP 2024, LODES, QCEW, IRS SOI). No forecasts, no revenue guesses — withheld cells are marked, and the few derived counts are labelled as estimates.