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Charlotte County, FL — Restaurants Saturation

How many restaurants 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. 16 ZIP codes analyzed.

Includes: Sit-down restaurants with table service. Counted together because official statistics use one 722511 code.

Measured density: Below average — 0.91× the U.S. rate (between 0.91× and 0.94× 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. 5 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

In line with the U.S. rate   Charlotte County restaurants — 91–94% of the U.S. rate

129 restaurants are counted in Charlotte County — 5.8 per 10,000 people present (residents + daytime workers), 91% of the U.S. rate of 6.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (115 → 115).

Measured supply density is highest in 33948 (Port Charlotte), 33950 (Punta Gorda), 33980 (Punta Gorda) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 33981 (Port Charlotte), 33955 (Punta Gorda), 33982 (Punta Gorda).

BLS QCEW puts the latest county-wide count (2026 Q1) at 203 establishments, the freshest available signal.

Measured density: Charlotte County sits at 91% of the U.S. rate for restaurants. 2 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 91% and 94% of the U.S. rate. Why. The highest measured density is in 33948 and 33950; the lowest measured density is in 33981 and 33955.

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

Restaurants
129–139
published count; upper bound counts each withheld ZIP cell as 2 (5 cells) (2023)
Per 10,000 present
5.8
residents + daytime workers
U.S. average
6.4
per 10,000 present
County index
0.91×
vs. U.S.
Latest quarter (QCEW)
203
2026 Q1 — county total
Residents
200,084
13 ZIPs with data
Workers
42,254
jobs located in county

Is the area growing?

Population
212,122
Census PEP, July 1 2024
Change since 2020
+12.8%
+24,105 people
Net migration 2024
+7,244
international +1,263, domestic +5,981
Jobs located here
55,354
LODES 2022, +9.5% since 2019

Charlotte County had an estimated 212,122 residents on July 1, 2024 — 12.8% more than in 2020 (+24,105). In the latest year it gained 5,037 people: births minus deaths −2,181, international migration +1,263, domestic migration +5,981. Components are published separately and may not sum exactly.

55,354 jobs were located in the county in 2022 (+9.5% since 2019), and 64,459 employed residents lived there (+8.5% 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
33981 Port Charlotte
+37.0%
33982 Punta Gorda
+25.2%
33983 Punta Gorda
+22.3%
ZIP losing residents
2015–19 → 2020–24
Change

No ZIP had a statistically significant decrease.

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
35
no paid employees (2024)
Receipts
$2.7M
published gross receipts
Receipts per business
$78K
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 restaurants 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 0% since 2015

Number of restaurants in Charlotte 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.

115
2015
109
2018
120
2020
125
2021
127
2022
115
2023

Highest measured density

ZIP
vs. U.S. average
Index
33948 Port Charlotte
210%
33950 Punta Gorda
172%
33980 Punta Gorda
133%
34224 Englewood
92%
33953 Port Charlotte
84%
33952 Port Charlotte
69%
33954 Port Charlotte
62%
33982 Punta Gorda
54%
33955 Punta Gorda
49%
33981 Port Charlotte
29%

Lowest measured density

ZIP
vs. U.S. average
Index
33981 Port Charlotte
29%
33955 Punta Gorda
49%
33982 Punta Gorda
54%
33954 Port Charlotte
62%
33952 Port Charlotte
69%
33953 Port Charlotte
84%
34224 Englewood
92%
33980 Punta Gorda
133%
33950 Punta Gorda
172%
33948 Port Charlotte
210%
Low measured density is not evidence of opportunity. A ZIP with few restaurants 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 = restaurants per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersRestaurants Per 10kIndexStatus
33946Placida 3,090560 5 14.8 232% High density
33948Port Charlotte 18,6967,364 30 13.4 210% High density
33950Punta Gorda 24,9558,330 32 11.0 172% High density
33980Punta Gorda 13,1204,372 13 8.5 133% Above average
34224Englewood 15,5363,067 10 5.9 92% Below average
33953Port Charlotte 8,3181,975 5 5.4 84% Below average
33952Port Charlotte 35,2316,501 17 4.4 69% Below average
33954Port Charlotte 11,1932,767 5 4.0 62% Below average
33982Punta Gorda 13,0063,022 5 3.4 54% Below average
33955Punta Gorda 12,399716 4 3.1 49% Far below average
33981Port Charlotte 15,6221,535 3 1.8 29% Far below average
33938Murdock —31 0–2 — — Not published
33947Rotonda West 10,447436 0–2 — — Not published
33949Port Charlotte —14 0–2 — — Not published
33951Punta Gorda —19 0–2 — — Not published
33983Punta Gorda 18,4711,609 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Punta Gorda

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 Punta Gorda retail space →
Crexi
Free listings + market data
Browse Punta Gorda retail space →
CityFeet
Retail space for lease
Browse Punta Gorda 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 Charlotte County and restaurants

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 722511 — full-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 203 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 (6.39 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.