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Denton County, TX — Pet care Saturation

How many pet care 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. 33 ZIP codes analyzed.

Includes: Pet grooming · Boarding & kennels · Dog day care · Pet sitting services. Counted together because official statistics use one 812910 code.

Measured density: Range spans bands — 1.31× the U.S. rate (between 1.31× and 1.58× 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. 15 ZIP cells in this county are withheld, 10 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

Above the U.S. rate   Denton County pet care — 131–158% of the U.S. rate

95 pet care are counted in Denton County — 0.8 per 10,000 people present (residents + daytime workers), 131% of the U.S. rate of 0.6.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 10% between 2015 and 2023 (31 → 34). 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 76247 (Justin), 75065 (Lake Dallas), 75077 (Lewisville) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 76210 (Denton), 75007 (Carrollton), 75068 (Little Elm).

Census County Business Patterns (2023) puts the county-wide count at 99 establishments, including locations in ZIP codes that do not map to a ZCTA — so it can run slightly above the sum of the ZIP rows on this page. It is annual, so it lags more than QCEW.

Measured density: Denton County sits at 131% of the U.S. rate for pet care. 10 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 131% and 158% of the U.S. rate. Why. The highest measured density is in 76247 and 75065; the lowest measured density is in 76210 and 75007.

This is a supply-side read: it counts existing pet care 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.

Pet care
95–125
published count; upper bound counts each withheld ZIP cell as 2 (15 cells) (2023)
Per 10,000 present
0.8
residents + daytime workers
U.S. average
0.6
per 10,000 present
County index
1.31×
vs. U.S.
Latest year (CBP)
99
2023 — $20M annual payroll
Residents
978,658
28 ZIPs with data
Workers
345,999
jobs located in county

Is the area growing?

Population
1,045,120
Census PEP, July 1 2024
Change since 2020
+14.3%
+130,610 people
Net migration 2024
+24,787
international +9,456, domestic +15,331
Jobs located here
302,695
LODES 2022, +13.7% since 2019

Denton County had an estimated 1,045,120 residents on July 1, 2024 — 14.3% more than in 2020 (+130,610). In the latest year it gained 31,384 people: births minus deaths +6,579, international migration +9,456, domestic migration +15,331. Components are published separately and may not sum exactly.

302,695 jobs were located in the county in 2022 (+13.7% since 2019), and 513,049 employed residents lived there (+12.6% 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
76227 Aubrey
+82.5%
76226 Argyle
+62.9%
76247 Justin
+59.7%
ZIP losing residents
2015–19 → 2020–24
Change
75034 Frisco
−50.4%

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
557
no paid employees (2024)
Receipts
$13.2M
published gross receipts
Receipts per business
$24K
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 pet care 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 10% since 2015

Number of pet care in Denton 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.

31
2015
32
2018
32
2020
37
2021
34
2022
34
2023

Highest measured density

ZIP
vs. U.S. average
Index
76247 Justin
339%
75065 Lake Dallas
321%
75077 Lewisville
271%
76227 Aubrey
243%
76226 Argyle
237%
76266 Sanger
235%
75022 Flower Mound
212%
75033 Frisco
186%
75034 Frisco
181%
76209 Denton
164%
75057 Lewisville
159%
75056 The Colony
138%
75028 Flower Mound
133%
76262 Roanoke
131%
75010 Carrollton
126%

Lowest measured density

ZIP
vs. U.S. average
Index
76210 Denton
90%
75007 Carrollton
100%
75068 Little Elm
106%
75010 Carrollton
126%
76262 Roanoke
131%
75028 Flower Mound
133%
75056 The Colony
138%
75057 Lewisville
159%
76209 Denton
164%
75034 Frisco
181%
75033 Frisco
186%
75022 Flower Mound
212%
76266 Sanger
235%
76226 Argyle
237%
76227 Aubrey
243%
Low measured density is not evidence of opportunity. A ZIP with few pet care 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.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersPet care Per 10kIndexStatus
76247Justin 21,7263,305 5 2.1 339% Very high density
75065Lake Dallas 13,6572,317 3 2.0 321% Very high density
75077Lewisville 42,9507,565 8 1.7 271% Very high density
76227Aubrey 62,1276,169 10 1.5 243% High density
76226Argyle 43,5876,536 7 1.5 237% High density
76266Sanger 18,1554,196 3 1.5 235% High density
75022Flower Mound 26,0907,557 4 1.3 212% High density
75033Frisco 52,79513,573 7 1.2 186% High density
75034Frisco 53,81867,223 10 1.1 181% High density
76209Denton 27,9821,985 3 1.0 164% High density
75057Lewisville 17,95823,928 3 1.0 159% High density
75056The Colony 69,62821,469 7 0.9 138% Above average
75028Flower Mound 49,09420,591 5 0.8 133% Above average
76262Roanoke 43,62033,349 5 0.8 131% Above average
75010Carrollton 33,3268,715 3 0.8 126% Above average
75068Little Elm 72,7104,746 5 0.7 106% Above average
75007Carrollton 54,64617,831 4 0.6 100% Below average
76210Denton 47,61010,551 3 0.6 90% Below average
75027Flower Mound —103 0–2 — — Not published
75029Lewisville —103 0–2 — — Not published
75036Frisco 33,4963,092 0–2 — — Not published
75067Lewisville 66,91327,887 0–2 — — Not published
76201Denton 31,14322,628 0–2 — — Not published
76202Denton —251 0–2 — — Not published
76203Denton 1,085146 0–2 — — Not published
76204Denton —71 0–2 — — Not published
76205Denton 18,97810,971 0–2 — — Not published
76206Denton —82 0–2 — — Not published
76207Denton 19,8628,964 0–2 — — Not published
76208Denton 30,0256,179 0–2 — — Not published
76249Krum 10,6371,130 0–2 — — Not published
76258Pilot Point 8,4442,563 0–2 — — Not published
76259Ponder 6,596833 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Frisco

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 Frisco retail space →
Crexi
Free listings + market data
Browse Frisco retail space →
CityFeet
Retail space for lease
Browse Frisco 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 Denton County and pet care

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 812910 — pet care (except veterinary) services. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. This industry has no clean QCEW series, so the freshest county signal is Census County Business Patterns 2023: 99 establishments and $20M in annual payroll county-wide. This count includes locations in ZIP codes that do not map to a ZCTA, so it can be slightly higher than the sum of the ZIP rows. CBP is annual and slower than QCEW. 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 (0.63 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.