BizGapMap

Home / Pharmacies & drug stores / New York / Broome County, NY

Broome County, NY — Pharmacies Saturation

How many pharmacies 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. 24 ZIP codes analyzed.

Includes: Pharmacies · Drug stores · Community & compounding pharmacies. Counted together because official statistics use one 446110 code.

Measured density: Range spans bands — 0.86× the U.S. rate (between 0.86× and 2.26× 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. 20 ZIP cells in this county are withheld, 17 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   Broome County pharmacies — 86–226% of the U.S. rate

21 pharmacies are counted in Broome County — 0.9 per 10,000 people present (residents + daytime workers), 86% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 9% between 2015 and 2023 (23 → 21). 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 13903 (Binghamton), 13790 (Johnson City), 13901 (Binghamton) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 13760 (Endicott), 13901 (Binghamton), 13790 (Johnson City).

Census County Business Patterns (2023) puts the county-wide count at 27 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: Broome County sits at 86% of the U.S. rate for pharmacies. 17 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 86% and 226% of the U.S. rate. Why. The highest measured density is in 13903 and 13790; the lowest measured density is in 13760 and 13901.

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

Pharmacies
21–61
published count; upper bound counts each withheld ZIP cell as 2 (20 cells) (2023)
Per 10,000 present
0.9
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
0.86×
vs. U.S.
Latest year (CBP)
27
2023 — $24M annual payroll
Residents
201,184
21 ZIPs with data
Workers
68,480
jobs located in county

Is the area growing?

Population
196,397
Census PEP, July 1 2024
Change since 2020
−0.9%
−1,775 people
Net migration 2024
+685
international +1,077, domestic −392
Jobs located here
80,151
LODES 2022, −9.2% since 2019

Broome County had an estimated 196,397 residents on July 1, 2024 — 0.9% fewer than in 2020 (−1,775). In the latest year it gained 14 people: births minus deaths −677, international migration +1,077, domestic migration −392. Components are published separately and may not sum exactly.

80,151 jobs were located in the county in 2022 (−9.2% since 2019), and 77,319 employed residents lived there (−7.2% 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
13902 Binghamton
+21.5%
13850 Vestal
+6.0%
ZIP losing residents
2015–19 → 2020–24
Change
13862 Whitney Point
−19.8%
13865 Windsor
−10.9%

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.

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 pharmacies 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 pharmacies in Broome 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.

23
2015
24
2018
21
2020
21
2021
21
2022
21
2023

Highest measured density

ZIP
vs. U.S. average
Index
13903 Binghamton
249%
13790 Johnson City
206%
13901 Binghamton
197%
13760 Endicott
121%

Lowest measured density

ZIP
vs. U.S. average
Index
13760 Endicott
121%
13901 Binghamton
197%
13790 Johnson City
206%
13903 Binghamton
249%
Low measured density is not evidence of opportunity. A ZIP with few pharmacies 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 = pharmacies per 10,000 people present (residents + 0.5×workers) ÷ the U.S. average. 100% = exactly average.

ZIPNeighborhood ResidentsWorkersPharmacies Per 10kIndexStatus
13903Binghamton 17,5693,704 5 2.6 249% High density
13790Johnson City 18,7399,599 5 2.1 206% High density
13901Binghamton 19,6139,875 5 2.0 197% High density
13760Endicott 42,89610,429 6 1.2 121% Above average
13744Castle Creek 1,12576 0–2 — — Not published
13745Chenango Bridge —84 0–2 — — Not published
13746Chenango Forks 2,535156 0–2 — — Not published
13748Conklin 3,7382,017 0–2 — — Not published
13754Deposit 2,768638 0–2 — — Not published
13777Glen Aubrey 65642 0–2 — — Not published
13787Harpursville 2,432175 0–2 — — Not published
13794Killawog —21 0–2 — — Not published
13795Kirkwood 3,6811,382 0–2 — — Not published
13797Lisle 2,11951 0–2 — — Not published
13802Maine 729111 0–2 — — Not published
13813Nineveh 99799 0–2 — — Not published
13833Port Crane 4,190247 0–2 — — Not published
13850Vestal 23,68912,042 0–2 — — Not published
13851Vestal —35 0–2 — — Not published
13862Whitney Point 3,4401,031 0–2 — — Not published
13865Windsor 5,610326 0–2 — — Not published
13902Binghamton 7,4492,292 0–2 — — Not published
13904Binghamton 9,2215,648 0–2 — — Not published
13905Binghamton 27,9888,540 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Vestal

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 Vestal retail space →
Crexi
Free listings + market data
Browse Vestal retail space →
CityFeet
Retail space for lease
Browse Vestal 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 Broome County and pharmacies

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 446110 — pharmacies & drug 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: 27 establishments and $24M 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 (1.03 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.