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Denver County, CO — 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. 37 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 — 1.16× the U.S. rate (between 1.16× and 1.17× 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. 13 ZIP cells in this county are withheld, 2 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   Denver County fast food — 116–117% of the U.S. rate

732 fast food are counted in Denver County — 7.7 per 10,000 people present (residents + daytime workers), 116% 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 20% between 2015 and 2023 (612 → 732). 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 80222 (Denver), 80246 (Denver), 80211 (Denver) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 80209 (Denver), 80237 (Denver), 80223 (Denver).

BLS QCEW puts the latest county-wide count (2026 Q1) at 708 establishments, the freshest available signal.

Measured density: Denver County sits at 116% of the U.S. rate for fast food. 2 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 116% and 117% of the U.S. rate. Why. The highest measured density is in 80222 and 80246; the lowest measured density is in 80209 and 80237.

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
732–758
published count; upper bound counts each withheld ZIP cell as 2 (13 cells) (2023)
Per 10,000 present
7.7
residents + daytime workers
U.S. average
6.7
per 10,000 present
County index
1.16×
vs. U.S.
Latest quarter (QCEW)
708
2026 Q1 — county total
Residents
695,356
26 ZIPs with data
Workers
500,203
jobs located in county

Is the area growing?

Population
729,019
Census PEP, July 1 2024
Change since 2020
+1.6%
+11,399 people
Net migration 2024
+4,277
international +6,391, domestic −2,114
Jobs located here
554,332
LODES 2022, +4.7% since 2019

Denver County had an estimated 729,019 residents on July 1, 2024 — 1.6% more than in 2020 (+11,399). In the latest year it gained 7,652 people: births minus deaths +3,381, international migration +6,391, domestic migration −2,114. Components are published separately and may not sum exactly.

554,332 jobs were located in the county in 2022 (+4.7% since 2019), and 358,469 employed residents lived there (+1.5% 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
80238 Denver
+41.3%
80249 Denver
+27.8%
80216 Denver
+26.8%
ZIP losing residents
2015–19 → 2020–24
Change
80207 Denver
−19.3%
80219 Denver
−15.7%

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
114
no paid employees (2024)
Receipts
$8.1M
published gross receipts
Receipts per business
$71K
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 20% since 2015

Number of fast food in Denver 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.

612
2015
655
2018
661
2020
675
2021
710
2022
732
2023

Highest measured density

ZIP
vs. U.S. average
Index
80222 Denver
222%
80246 Denver
207%
80211 Denver
182%
80205 Denver
149%
80206 Denver
140%
80203 Denver
137%
80224 Denver
134%
80238 Denver
134%
80212 Denver
134%
80210 Denver
125%
80220 Denver
99%
80207 Denver
96%
80231 Denver
96%
80204 Denver
95%
80230 Denver
87%

Lowest measured density

ZIP
vs. U.S. average
Index
80209 Denver
64%
80237 Denver
80%
80223 Denver
80%
80239 Denver
81%
80219 Denver
84%
80218 Denver
86%
80249 Denver
86%
80230 Denver
87%
80204 Denver
95%
80231 Denver
96%
80207 Denver
96%
80220 Denver
99%
80210 Denver
125%
80212 Denver
134%
80238 Denver
134%
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
80202Denver Employment hub 18,589102,721 70 150%
80216Denver Employment hub 17,33038,527 30 123%

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
80222Denver 23,83819,908 50 14.8 222% High density
80246Denver 13,09714,291 28 13.8 207% High density
80211Denver 38,17715,860 56 12.1 182% High density
80202Denver 18,589102,721 70 10.0 150% Above average
80205Denver 34,57121,516 45 9.9 149% Above average
80206Denver 24,38323,807 34 9.4 140% Above average
80203Denver 22,44127,108 33 9.2 137% Above average
80224Denver 19,3525,913 20 9.0 134% Above average
80238Denver 30,57514,786 34 9.0 134% Above average
80212Denver 20,7465,591 21 8.9 134% Above average
80210Denver 39,11312,744 38 8.4 125% Above average
80216Denver 17,33038,527 30 8.2 123% Above average
80220Denver 37,2037,699 27 6.6 99% Below average
80207Denver 21,5426,818 16 6.4 96% Below average
80231Denver 35,88315,771 28 6.4 96% Below average
80204Denver 35,31830,228 32 6.3 95% Below average
80230Denver 10,4496,703 8 5.8 87% Below average
80249Denver 41,59031,405 33 5.8 86% Below average
80218Denver 19,14910,369 14 5.8 86% Below average
80219Denver 59,5236,077 35 5.6 84% Below average
80239Denver 44,95628,211 32 5.4 81% Below average
80223Denver 19,24617,631 15 5.3 80% Below average
80237Denver 23,38424,374 19 5.3 80% Below average
80209Denver 27,56410,348 14 4.3 64% Below average
80201Denver —450 0–2 — — Not published
80208Denver —6,480 0–2 — — Not published
80217Denver —416 0–2 — — Not published
80236Denver 16,8631,097 0–2 — — Not published
80250Denver —41 0–2 — — Not published
80264Denver 0569 0–2 — — Not published
80265Denver —418 0–2 — — Not published
80266Denver 041 0–2 — — Not published
80274Denver —126 0–2 — — Not published
80290Denver 474700 0–2 — — Not published
80293Denver 0182 0–2 — — Not published
80294Denver 012 0–2 — — Not published
80299Denver —12 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Denver

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 Denver retail space →
Crexi
Free listings + market data
Browse Denver retail space →
CityFeet
Retail space for lease
Browse Denver 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 Denver 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 708 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.