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Franklin County, OH — Dentists Saturation

How many dentists 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. 48 ZIP codes analyzed.

Includes: General & family dentists · Orthodontists · Oral surgeons · Other dental specialists. Counted together because official statistics use one 621210 code.

Measured density: Below average — 0.93× the U.S. rate (between 0.93× and 0.97× 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

In line with the U.S. rate   Franklin County dentists — 93–97% of the U.S. rate

538 dentists are counted in Franklin County — 3.1 per 10,000 people present (residents + daytime workers), 93% of the U.S. rate of 3.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (544 → 534).

Measured supply density is highest in 43220 (Columbus), 43214 (Columbus), 43085 (Columbus) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 43224 (Columbus), 43232 (Columbus), 43219 (Columbus).

BLS QCEW puts the latest county-wide count (2026 Q1) at 546 establishments, the freshest available signal.

Measured density: Franklin County sits at 93% of the U.S. rate for dentists. 10 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 93% and 97% of the U.S. rate. Why. The highest measured density is in 43220 and 43214; the lowest measured density is in 43224 and 43232.

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

Dentists
538–568
published count; upper bound counts each withheld ZIP cell as 2 (15 cells) (2023)
Per 10,000 present
3.1
residents + daytime workers
U.S. average
3.4
per 10,000 present
County index
0.93×
vs. U.S.
Latest quarter (QCEW)
546
2026 Q1 — county total
Residents
1,366,493
43 ZIPs with data
Workers
707,277
jobs located in county

Is the area growing?

Population
1,356,303
Census PEP, July 1 2024
Change since 2020
+2.4%
+31,798 people
Net migration 2024
+10,283
international +20,257, domestic −9,974
Jobs located here
798,714
LODES 2022, +0.1% since 2019

Franklin County had an estimated 1,356,303 residents on July 1, 2024 — 2.4% more than in 2020 (+31,798). In the latest year it gained 17,400 people: births minus deaths +7,157, international migration +20,257, domestic migration −9,974. Components are published separately and may not sum exactly.

798,714 jobs were located in the county in 2022 (+0.1% since 2019), and 629,276 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
43016 Dublin
+25.7%
43215 Columbus
+16.6%
43068 Reynoldsburg
+9.8%
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
291
no paid employees (2024)
Receipts
$17.8M
published gross receipts
Receipts per business
$61K
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 dentists 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 2% since 2015

Number of dentists in Franklin 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.

544
2015
547
2018
538
2020
526
2021
535
2022
534
2023

Highest measured density

ZIP
vs. U.S. average
Index
43220 Columbus
269%
43214 Columbus
249%
43085 Columbus
224%
43026 Hilliard
185%
43230 Columbus
180%
43231 Columbus
178%
43213 Columbus
167%
43017 Dublin
158%
43221 Columbus
138%
43016 Dublin
125%
43081 Westerville
122%
43068 Reynoldsburg
109%
43235 Columbus
96%
43212 Columbus
94%
43209 Columbus
94%

Lowest measured density

ZIP
vs. U.S. average
Index
43224 Columbus
19%
43232 Columbus
23%
43219 Columbus
25%
43223 Columbus
28%
43207 Columbus
31%
43204 Columbus
37%
43119 Galloway
39%
43201 Columbus
44%
43125 Groveport
46%
43004 Blacklick
54%
43110 Canal Winchester
55%
43205 Columbus
59%
43206 Columbus
59%
43229 Columbus
62%
43228 Columbus
64%
Low measured density is not evidence of opportunity. A ZIP with few dentists 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 ResidentsWorkersDentistsIndex
43215Columbus Employment hub 17,83681,402 14 71%
43109Brice Employment hub 152420 0–2 —
43137Lockbourne Employment hub 2,4155,722 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersDentists Per 10kIndexStatus
43220Columbus 28,79211,163 31 9.0 269% Very high density
43214Columbus 26,77623,249 32 8.3 249% High density
43085Columbus 26,60118,851 27 7.5 224% High density
43026Hilliard 65,23820,895 47 6.2 185% High density
43230Columbus 58,07626,798 43 6.0 180% High density
43231Columbus 23,00910,825 17 6.0 178% High density
43213Columbus 36,27320,633 26 5.6 167% High density
43017Dublin 41,61341,270 33 5.3 158% High density
43221Columbus 35,2937,315 18 4.6 138% Above average
43016Dublin 46,36221,786 24 4.2 125% Above average
43081Westerville 65,02027,088 32 4.1 122% Above average
43068Reynoldsburg 60,14821,702 26 3.7 109% Above average
43235Columbus 44,58916,817 17 3.2 96% Below average
43212Columbus 23,40516,465 10 3.2 94% Below average
43209Columbus 28,1936,987 10 3.2 94% Below average
43054New Albany 27,59423,717 12 3.0 91% Below average
43123Grove City 67,62628,211 23 2.8 84% Below average
43215Columbus 17,83681,402 14 2.4 71% Below average
43228Columbus 59,07740,646 17 2.1 64% Below average
43229Columbus 55,02024,261 14 2.1 62% Below average
43206Columbus 21,9966,245 5 2.0 59% Below average
43205Columbus 12,61815,507 4 2.0 59% Below average
43110Canal Winchester 43,5449,919 9 1.9 55% Below average
43004Blacklick 31,4773,385 6 1.8 54% Below average
43125Groveport 14,80322,323 4 1.5 46% Far below average
43201Columbus 34,32212,049 6 1.5 44% Far below average
43119Galloway 29,6601,635 4 1.3 39% Far below average
43204Columbus 42,96210,264 6 1.2 37% Far below average
43207Columbus 47,27219,877 6 1.0 31% Far below average
43223Columbus 28,1876,907 3 0.9 28% Far below average
43219Columbus 32,33852,768 5 0.9 25% Far below average
43232Columbus 47,3649,656 4 0.8 23% Far below average
43224Columbus 44,3195,211 3 0.6 19% Far below average
43086Westerville —44 0–2 — — Not published
43109Brice 152420 0–2 — — Not published
43126Harrisburg 306156 0–2 — — Not published
43137Lockbourne 2,4155,722 0–2 — — Not published
43202Columbus 20,8544,762 0–2 — — Not published
43203Columbus 8,6181,133 0–2 — — Not published
43210Columbus 12,16411,062 0–2 — — Not published
43211Columbus 22,3133,165 0–2 — — Not published
43216Columbus —1,479 0–2 — — Not published
43217Columbus 2,0913,429 0–2 — — Not published
43218Columbus 0243 0–2 — — Not published
43222Columbus 4,8199,053 0–2 — — Not published
43227Columbus 25,3582,548 0–2 — — Not published
43236Columbus —42 0–2 — — Not published
43287Columbus —624 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Columbus

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 Columbus retail space →
Crexi
Free listings + market data
Browse Columbus retail space →
CityFeet
Retail space for lease
Browse Columbus 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 Franklin County and dentists

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 621210 — offices of dentists. 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 546 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 (3.35 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.