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Rensselaer County, NY — Hotels Saturation

How many hotels 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. 30 ZIP codes analyzed.

Includes: Hotels · Motels · Motor inns. Counted together because official statistics use one 721110 code.

Measured density: Range spans bands — 0.28× the U.S. rate (between 0.28× and 2.24× 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. 28 ZIP cells in this county are withheld, 25 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   Rensselaer County hotels — 28–224% of the U.S. rate

7 hotels are counted in Rensselaer County — 0.4 per 10,000 people present (residents + daytime workers), 28% of the U.S. rate of 1.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has stayed roughly flat between 2015 and 2023 (4 → 4).

Measured supply density is highest in 12061 (East Greenbush), 12033 (Castleton On Hudson) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 12033 (Castleton On Hudson), 12061 (East Greenbush).

Census County Business Patterns (2023) puts the county-wide count at 11 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: Rensselaer County sits at 28% of the U.S. rate for hotels. 25 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 28% and 224% of the U.S. rate. Why. The highest measured density is in 12061 and 12033; the lowest measured density is in 12033 and 12061.

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

Hotels
7–63
published count; upper bound counts each withheld ZIP cell as 2 (28 cells) (2023)
Per 10,000 present
0.4
residents + daytime workers
U.S. average
1.4
per 10,000 present
County index
0.28×
vs. U.S.
Latest year (CBP)
11
2023 — $7M annual payroll
Residents
160,774
27 ZIPs with data
Workers
46,534
jobs located in county

Is the area growing?

Population
160,749
Census PEP, July 1 2024
Change since 2020
−0.1%
−139 people
Net migration 2024
+1,015
international +994, domestic +21
Jobs located here
50,950
LODES 2022, −4.9% since 2019

Rensselaer County had an estimated 160,749 residents on July 1, 2024 — 0.1% fewer than in 2020 (−139). In the latest year it gained 903 people: births minus deaths −118, international migration +994, domestic migration +21. Components are published separately and may not sum exactly.

50,950 jobs were located in the county in 2022 (−4.9% since 2019), and 75,838 employed residents lived there (−2.6% 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
12144 Rensselaer
+9.4%
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

Not shown. Census publishes hotels only combined with other traveler accommodation (NAICS 7211), so a hotels-and-motels-only nonemployer count is not published.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

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 hotels 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 hotels in Rensselaer 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.

4
2015
5
2018
4
2020
4
2021
4
2022
4
2023

Highest measured density

ZIP
vs. U.S. average
Index
12061 East Greenbush
254%
12033 Castleton On Hudson
224%

Lowest measured density

ZIP
vs. U.S. average
Index
12033 Castleton On Hudson
224%
12061 East Greenbush
254%
Low measured density is not evidence of opportunity. A ZIP with few hotels 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 ResidentsWorkersHotelsIndex
12082Grafton Employment hub 215 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersHotels Per 10kIndexStatus
12061East Greenbush 9,8543,090 4 3.5 254% Very high density
12033Castleton On Hudson 7,9323,495 3 3.1 224% High density
12018Averill Park 7,422568 0–2 — — Not published
12022Berlin 1,120118 0–2 — — Not published
12024Brainard 785 0–2 — — Not published
12052Cropseyville 1,915160 0–2 — — Not published
12057Eagle Bridge 1,789142 0–2 — — Not published
12062East Nassau 1,65088 0–2 — — Not published
12063East Schodack 66519 0–2 — — Not published
12082Grafton 215 0–2 — — Not published
12089Hoosick —107 0–2 — — Not published
12090Hoosick Falls 5,482768 0–2 — — Not published
12094Johnsonville 2,65668 0–2 — — Not published
12121Melrose 2,28081 0–2 — — Not published
12123Nassau 4,457334 0–2 — — Not published
12133North Hoosick —32 0–2 — — Not published
12138Petersburg 2,695294 0–2 — — Not published
12140Poestenkill 1,512178 0–2 — — Not published
12144Rensselaer 22,11111,684 0–2 — — Not published
12153Sand Lake 66952 0–2 — — Not published
12154Schaghticoke 2,777452 0–2 — — Not published
12156Schodack Landing 8081,115 0–2 — — Not published
12168Stephentown 1,752199 0–2 — — Not published
12169Stephentown 41737 0–2 — — Not published
12180Troy 53,47919,712 0–2 — — Not published
12181Troy —221 0–2 — — Not published
12182Troy 14,8672,130 0–2 — — Not published
12185Valley Falls 1,70953 0–2 — — Not published
12196West Sand Lake 3,880716 0–2 — — Not published
12198Wynantskill 6,796961 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Troy

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 Troy retail space →
Crexi
Free listings + market data
Browse Troy retail space →
CityFeet
Retail space for lease
Browse Troy 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 Rensselaer County and hotels

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 721110 — hotels (except casino hotels) and motels. 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: 11 establishments and $7M 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 (1.38 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.