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Licking County, OH — 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. 18 ZIP codes analyzed.

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

Measured density: Below average — 0.73× the U.S. rate (between 0.73× and 0.84× 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. 9 ZIP cells in this county are withheld, 7 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

Below the U.S. rate   Licking County restaurants — 73–84% of the U.S. rate

93 restaurants are counted in Licking County — 4.7 per 10,000 people present (residents + daytime workers), 73% of the U.S. rate of 6.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 15% between 2015 and 2023 (75 → 86). 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 43080 (Utica), 43056 (Heath), 43025 (Hebron) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 43023 (Granville), 43031 (Johnstown), 43062 (Pataskala).

BLS QCEW puts the latest county-wide count (2026 Q1) at 87 establishments, the freshest available signal.

Measured density: Licking County sits at 73% of the U.S. rate for restaurants. 7 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 73% and 84% of the U.S. rate. Why. The highest measured density is in 43080 and 43056; the lowest measured density is in 43023 and 43031.

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
93–111
published count; upper bound counts each withheld ZIP cell as 2 (9 cells) (2023)
Per 10,000 present
4.7
residents + daytime workers
U.S. average
6.4
per 10,000 present
County index
0.73×
vs. U.S.
Latest quarter (QCEW)
87
2026 Q1 — county total
Residents
164,016
16 ZIPs with data
Workers
70,788
jobs located in county

Is the area growing?

Population
184,898
Census PEP, July 1 2024
Change since 2020
+3.4%
+6,102 people
Net migration 2024
+1,425
international +529, domestic +896
Jobs located here
75,835
LODES 2022, +18.1% since 2019

Licking County had an estimated 184,898 residents on July 1, 2024 — 3.4% more than in 2020 (+6,102). In the latest year it gained 1,358 people: births minus deaths −56, international migration +529, domestic migration +896. Components are published separately and may not sum exactly.

75,835 jobs were located in the county in 2022 (+18.1% since 2019), and 83,551 employed residents lived there (+2.9% 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
43062 Pataskala
+9.6%
ZIP losing residents
2015–19 → 2020–24
Change
43008 Buckeye Lake
−7.8%

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
21
no paid employees (2024)
Receipts
$1.5M
published gross receipts
Receipts per business
$70K
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 15% since 2015

Number of restaurants in Licking 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.

75
2015
82
2018
76
2020
81
2021
86
2022
86
2023

Highest measured density

ZIP
vs. U.S. average
Index
43080 Utica
167%
43056 Heath
142%
43025 Hebron
80%
43055 Newark
65%
43062 Pataskala
54%
43031 Johnstown
51%
43023 Granville
43%

Lowest measured density

ZIP
vs. U.S. average
Index
43023 Granville
43%
43031 Johnstown
51%
43062 Pataskala
54%
43055 Newark
65%
43025 Hebron
80%
43056 Heath
142%
43080 Utica
167%
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
43008Buckeye Lake 2,434394 4 15.2 238% High density
43071Saint Louisville 2,371229 3 12.1 189% High density
43080Utica 5,321582 6 10.7 167% High density
43056Heath 17,6378,670 20 9.1 142% Above average
43025Hebron 5,3575,031 4 5.1 80% Below average
43055Newark 63,28118,551 30 4.1 65% Below average
43062Pataskala 32,03728,561 16 3.5 54% Below average
43031Johnstown 13,8762,984 5 3.3 51% Below average
43023Granville 15,6885,027 5 2.7 43% Far below average
43001Alexandria 2,892350 0–2 — — Not published
43013Croton 1,75487 0–2 — — Not published
43018Etna 286171 0–2 — — Not published
43027Homer 18522 0–2 — — Not published
43030Jacksontown 249100 0–2 — — Not published
43033Kirkersville 3877 0–2 — — Not published
43058Newark —146 0–2 — — Not published
43073Summit Station —92 0–2 — — Not published
43740Gratiot 26122 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Pataskala

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 Pataskala retail space →
Crexi
Free listings + market data
Browse Pataskala retail space →
CityFeet
Retail space for lease
Browse Pataskala 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 Licking 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 87 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.