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Tarrant County, TX — Fast food Saturation

How many fast food 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: Fast food · Quick-service restaurants · Takeout & delivery counters · Pizza delivery · Sandwich & burger chains. Counted together because official statistics use one 722513 code.

Measured density: Above average — 1.13× the U.S. rate

Why a range: Census does not publish a ZIP-by-industry count when that ZIP has 0–2 businesses. 24 ZIP cells in this county are withheld, 3 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

In line with the U.S. rate   Tarrant County fast food — 113% of the U.S. rate

1,883 fast food are counted in Tarrant County — 7.5 per 10,000 people present (residents + daytime workers), 113% of the U.S. rate of 6.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 26% between 2015 and 2023 (1,496 → 1,883). 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 76015 (Arlington), 76132 (Fort Worth), 76135 (Fort Worth) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 76001 (Arlington), 76119 (Fort Worth), 76118 (Fort Worth).

BLS QCEW puts the latest county-wide count (2026 Q1) at 1,744 establishments, the freshest available signal.

Measured density: Tarrant County sits at 113% of the U.S. rate for fast food. The highest measured density is in 76015 and 76132; the lowest measured density is in 76001 and 76119.

This is a supply-side read: it counts existing fast food 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.

Fast food
1,883–1,931
published count; upper bound counts each withheld ZIP cell as 2 (24 cells) (2023)
Per 10,000 present
7.5
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
1.13×
vs. U.S.
Latest quarter (QCEW)
1,744
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 (no paid employees)

Nonemployer businesses
440
no paid employees (2024)
Receipts
$25.1M
published gross receipts
Receipts per business
$57K
gross, not profit

Census Nonemployer Statistics counts businesses with no paid employees — a separate universe from the employer establishments counted above; a business is in one or the other, never both. They are not storefronts by definition: many are home-based, mobile, or part-time.

We show them beside the density index, not inside it. In categories such as nail and beauty salons, child care, and pet care, one-person businesses can outnumber employer establishments, so the employer-only count understates how many businesses exist. That is not evidence of higher demand.

Receipts are gross revenue reported for these businesses — not profit, and not the size of the local market. Census publishes this only at county level, so it is not shown on the ZIP map. See methodology.

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 fast food 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 26% since 2015

Number of fast food 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.

1,496
2015
1,716
2018
1,734
2020
1,786
2021
1,815
2022
1,883
2023

Highest measured density

ZIP
vs. U.S. average
Index
76015 Arlington
248%
76132 Fort Worth
241%
76135 Fort Worth
228%
76107 Fort Worth
219%
76054 Hurst
218%
76148 Fort Worth
218%
76177 Fort Worth
196%
76092 Southlake
187%
76180 North Richland Hills
184%
76109 Fort Worth
183%
76053 Hurst
178%
76114 Fort Worth
169%
76248 Keller
154%
76011 Arlington
151%
76013 Arlington
146%

Lowest measured density

ZIP
vs. U.S. average
Index
76001 Arlington
25%
76119 Fort Worth
28%
76118 Fort Worth
38%
76131 Fort Worth
48%
76014 Arlington
50%
76002 Arlington
54%
76052 Haslet
56%
76182 North Richland Hills
60%
76244 Keller
61%
76179 Fort Worth
66%
76103 Fort Worth
69%
76117 Haltom City
69%
76060 Kennedale
71%
76036 Crowley
71%
76006 Arlington
71%
Low measured density is not evidence of opportunity. A ZIP with few fast food 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 ResidentsWorkersFast foodIndex
76155Fort Worth Employment hub 6,53321,169 12 105%
76102Fort Worth Employment hub 11,89538,332 21 101%
76129Fort Worth Employment hub 1,6413,603 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersFast food Per 10kIndexStatus
76015Arlington 18,13512,133 40 16.5 248% High density
76132Fort Worth 26,92715,665 56 16.1 241% High density
76135Fort Worth 19,4457,068 35 15.2 228% High density
76107Fort Worth 30,99426,912 65 14.6 219% High density
76054Hurst 11,7445,341 21 14.6 218% High density
76148Fort Worth 23,3675,562 38 14.5 218% High density
76177Fort Worth 25,01243,241 61 13.1 196% High density
76092Southlake 31,52036,588 62 12.4 187% High density
76180North Richland Hills 38,37116,055 57 12.3 184% High density
76109Fort Worth 26,00618,490 43 12.2 183% High density
76053Hurst 32,32311,167 45 11.9 178% High density
76114Fort Worth 27,3575,521 34 11.3 169% High density
76248Keller 40,93611,601 48 10.3 154% High density
76011Arlington 22,75241,627 44 10.1 151% High density
76013Arlington 35,7158,847 39 9.7 146% Above average
76116Fort Worth 49,85615,146 54 9.4 141% Above average
76010Arlington 54,97816,157 58 9.2 138% Above average
76034Colleyville 26,1039,511 28 9.1 136% Above average
76126Fort Worth 27,6896,605 28 9.0 135% Above average
76115Fort Worth 19,6555,153 20 9.0 135% Above average
76039Euless 39,8557,001 39 9.0 135% Above average
76063Mansfield 82,62531,455 88 8.9 134% Above average
76051Grapevine 50,61842,349 63 8.8 132% Above average
76018Arlington 26,83416,695 29 8.2 124% Above average
76111Fort Worth 20,98911,896 22 8.2 122% Above average
76017Arlington 47,07413,646 44 8.2 122% Above average
76133Fort Worth 53,9586,698 46 8.0 120% Above average
76016Arlington 31,2804,724 27 8.0 120% Above average
76022Bedford 13,7605,969 13 7.8 116% Above average
76021Bedford 35,35411,946 31 7.5 112% Above average
76134Fort Worth 29,9497,973 24 7.1 106% Above average
76155Fort Worth 6,53321,169 12 7.0 105% Above average
76120Fort Worth 21,1023,632 16 7.0 105% Above average
76140Fort Worth 33,32116,957 29 6.9 104% Above average
76102Fort Worth 11,89538,332 21 6.8 101% Above average
76164Fort Worth 13,4574,380 10 6.4 96% Below average
76105Fort Worth 22,2283,495 15 6.3 94% Below average
76110Fort Worth 33,4418,177 23 6.1 92% Below average
76106Fort Worth 35,94616,014 26 5.9 89% Below average
76112Fort Worth 44,5147,054 28 5.8 87% Below average
76108Fort Worth 45,53726,301 34 5.8 87% Below average
76040Euless 31,6779,683 21 5.8 86% Below average
76137Fort Worth 60,35222,727 40 5.6 84% Below average
76104Fort Worth 20,44336,773 21 5.4 81% Below average
76020Azle 34,6025,035 19 5.1 77% Below average
76123Fort Worth 42,9573,176 22 4.9 74% Below average
76012Arlington 27,9916,142 15 4.8 72% Below average
76006Arlington 23,4468,020 13 4.7 71% Below average
76036Crowley 36,0444,274 18 4.7 71% Below average
76060Kennedale 9,4442,330 5 4.7 71% Below average
76117Haltom City 32,95011,823 18 4.6 69% Below average
76103Fort Worth 15,9752,849 8 4.6 69% Below average
76179Fort Worth 80,09012,820 38 4.4 66% Below average
76244Keller 76,72812,777 34 4.1 61% Below average
76182North Richland Hills 30,2424,019 13 4.0 60% Below average
76052Haslet 34,2496,918 14 3.7 56% Below average
76002Arlington 35,2651,926 13 3.6 54% Below average
76014Arlington 32,8186,986 12 3.3 50% Far below average
76131Fort Worth 56,3227,065 19 3.2 48% Far below average
76118Fort Worth 17,99111,799 6 2.5 38% Far below average
76119Fort Worth 52,97412,811 11 1.9 28% Far below average
76001Arlington 38,9135,926 7 1.7 25% Far below average
76003Arlington —47 0–2 — — Not published
76004Arlington —208 0–2 — — Not published
76005Arlington 7,102530 0–2 — — Not published
76007Arlington —14 0–2 — — Not published
76019Arlington —771 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
76113Fort Worth —35 0–2 — — Not published
76121Fort Worth —54 0–2 — — Not published
76124Fort Worth —292 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
76136Fort Worth —142 0–2 — — Not published
76147Fort Worth —34 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 fast food

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 722513 — limited-service restaurants. 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 1,744 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 (6.67 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.