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Tulsa County, OK — Clothing stores Saturation

How many clothing stores 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. 55 ZIP codes analyzed.

Includes: Family clothing stores · General apparel shops. Counted together because official statistics use one 448140 code.

Measured density: Range spans bands — 0.63× the U.S. rate (between 0.63× and 1.69× 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, 33 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   Tulsa County clothing stores — 63–169% of the U.S. rate

39 clothing stores are counted in Tulsa County — 0.4 per 10,000 people present (residents + daytime workers), 63% of the U.S. rate of 0.7.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 9% between 2015 and 2023 (43 → 39). 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 74133 (Tulsa), 74114 (Tulsa), 74105 (Tulsa) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 74055 (Owasso), 74135 (Tulsa), 74105 (Tulsa).

Census County Business Patterns (2023) puts the county-wide count at 53 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: Tulsa County sits at 63% of the U.S. rate for clothing stores. 33 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 63% and 169% of the U.S. rate. Why. The highest measured density is in 74133 and 74114; the lowest measured density is in 74055 and 74135.

This is a supply-side read: it counts existing clothing stores 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.

Clothing stores
39–139
published count; upper bound counts each withheld ZIP cell as 2 (50 cells) (2023)
Per 10,000 present
0.4
residents + daytime workers
U.S. average
0.7
per 10,000 present
County index
0.63×
vs. U.S.
Latest year (CBP)
53
2023 — $26M annual payroll
Residents
733,026
38 ZIPs with data
Workers
330,920
jobs located in county

Is the area growing?

Population
693,514
Census PEP, July 1 2024
Change since 2020
+3.4%
+22,806 people
Net migration 2024
+5,058
international +5,046, domestic +12
Jobs located here
360,717
LODES 2022, −2.6% since 2019

Tulsa County had an estimated 693,514 residents on July 1, 2024 — 3.4% more than in 2020 (+22,806). In the latest year it gained 7,103 people: births minus deaths +2,029, international migration +5,046, domestic migration +12. Components are published separately and may not sum exactly.

360,717 jobs were located in the county in 2022 (−2.6% since 2019), and 283,348 employed residents lived there (−2.7% 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
74134 Tulsa
+46.7%
74037 Jenks
+31.6%
74011 Broken Arrow
+19.3%
ZIP losing residents
2015–19 → 2020–24
Change
74106 Tulsa
−12.6%

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 now groups clothing with clothing accessories (NAICS 45811); a family-clothing-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 clothing stores 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 — down 9% since 2015

Number of clothing stores in Tulsa 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.

43
2015
39
2018
37
2020
35
2021
36
2022
39
2023

Highest measured density

ZIP
vs. U.S. average
Index
74133 Tulsa
502%
74114 Tulsa
308%
74105 Tulsa
189%
74135 Tulsa
163%
74055 Owasso
147%

Lowest measured density

ZIP
vs. U.S. average
Index
74055 Owasso
147%
74135 Tulsa
163%
74105 Tulsa
189%
74114 Tulsa
308%
74133 Tulsa
502%
Low measured density is not evidence of opportunity. A ZIP with few clothing stores 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 ResidentsWorkersClothing storesIndex
74103Tulsa Employment hub 2,45010,551 0–2 —
74116Tulsa Employment hub 3,61723,633 0–2 —
74117Tulsa Destination 524,733 0–2 —
74119Tulsa Employment hub 3,6708,577 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersClothing stores Per 10kIndexStatus
74133Tulsa 48,69929,441 22 3.5 502% Very high density
74114Tulsa 15,9445,627 4 2.1 308% Very high density
74105Tulsa 26,9517,360 4 1.3 189% High density
74135Tulsa 20,13812,918 3 1.1 163% High density
74055Owasso 51,38114,949 6 1.0 147% Above average
74008Bixby 34,0064,723 0–2 — — Not published
74011Broken Arrow 33,9003,506 0–2 — — Not published
74012Broken Arrow 65,06025,511 0–2 — — Not published
74013Broken Arrow —197 0–2 — — Not published
74021Collinsville 23,6282,101 0–2 — — Not published
74033Glenpool 13,7452,683 0–2 — — Not published
74037Jenks 24,5475,808 0–2 — — Not published
74063Sand Springs 31,3707,115 0–2 — — Not published
74070Skiatook 15,4471,937 0–2 — — Not published
74073Sperry 5,881517 0–2 — — Not published
74101Tulsa —2,877 0–2 — — Not published
74102Tulsa —62 0–2 — — Not published
74103Tulsa 2,45010,551 0–2 — — Not published
74104Tulsa 12,80611,357 0–2 — — Not published
74106Tulsa 15,6552,352 0–2 — — Not published
74107Tulsa 19,01312,540 0–2 — — Not published
74108Tulsa 7,315640 0–2 — — Not published
74110Tulsa 15,2444,387 0–2 — — Not published
74112Tulsa 21,3865,701 0–2 — — Not published
74115Tulsa 24,29711,769 0–2 — — Not published
74116Tulsa 3,61723,633 0–2 — — Not published
74117Tulsa 524,733 0–2 — — Not published
74119Tulsa 3,6708,577 0–2 — — Not published
74120Tulsa 5,1958,363 0–2 — — Not published
74121Tulsa —20 0–2 — — Not published
74126Tulsa 9,920505 0–2 — — Not published
74127Tulsa 16,3244,313 0–2 — — Not published
74128Tulsa 13,7512,375 0–2 — — Not published
74129Tulsa 18,3823,758 0–2 — — Not published
74130Tulsa 2,21284 0–2 — — Not published
74132Tulsa 10,8586,130 0–2 — — Not published
74134Tulsa 23,32312,619 0–2 — — Not published
74136Tulsa 31,41624,481 0–2 — — Not published
74137Tulsa 28,53310,442 0–2 — — Not published
74145Tulsa 18,19614,977 0–2 — — Not published
74146Tulsa 16,50720,740 0–2 — — Not published
74147Tulsa —242 0–2 — — Not published
74148Tulsa —14 0–2 — — Not published
74149Tulsa —4 0–2 — — Not published
74150Tulsa —289 0–2 — — Not published
74152Tulsa —34 0–2 — — Not published
74153Tulsa —63 0–2 — — Not published
74155Tulsa —63 0–2 — — Not published
74157Tulsa —117 0–2 — — Not published
74158Tulsa —36 0–2 — — Not published
74159Tulsa —111 0–2 — — Not published
74169Tulsa —543 0–2 — — Not published
74170Tulsa —273 0–2 — — Not published
74171Tulsa 2,2071,697 0–2 — — Not published
74172Tulsa —2,642 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Tulsa

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 Tulsa retail space →
Crexi
Free listings + market data
Browse Tulsa retail space →
CityFeet
Retail space for lease
Browse Tulsa 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 Tulsa County and clothing stores

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 448140 — family clothing stores. 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: 53 establishments and $26M 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 (0.69 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.