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Contra Costa County, CA — 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. 50 ZIP codes analyzed.

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

Measured density: Range spans bands — 0.34× the U.S. rate (between 0.34× and 0.64× 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. 36 ZIP cells in this county are withheld, 28 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   Contra Costa County hotels — 34–64% of the U.S. rate

62 hotels are counted in Contra Costa County — 0.5 per 10,000 people present (residents + daytime workers), 34% of the U.S. rate of 1.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 14% between 2015 and 2023 (43 → 49). 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 94523 (Pleasant Hill), 94519 (Concord), 94530 (El Cerrito) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 94565 (Pittsburg), 94553 (Martinez), 94509 (Antioch).

Census County Business Patterns (2023) puts the county-wide count at 73 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: Contra Costa County sits at 34% of the U.S. rate for hotels. 28 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 34% and 64% of the U.S. rate. Why. The highest measured density is in 94523 and 94519; the lowest measured density is in 94565 and 94553.

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
62–134
published count; upper bound counts each withheld ZIP cell as 2 (36 cells) (2023)
Per 10,000 present
0.5
residents + daytime workers
U.S. average
1.4
per 10,000 present
County index
0.34×
vs. U.S.
Latest year (CBP)
73
2023 — $48M annual payroll
Residents
1,159,422
42 ZIPs with data
Workers
342,009
jobs located in county

Is the area growing?

Population
1,172,607
Census PEP, July 1 2024
Change since 2020
+0.6%
+6,442 people
Net migration 2024
+7,594
international +12,286, domestic −4,692
Jobs located here
379,038
LODES 2022, −2.3% since 2019

Contra Costa County had an estimated 1,172,607 residents on July 1, 2024 — 0.6% more than in 2020 (+6,442). In the latest year it gained 10,428 people: births minus deaths +2,765, international migration +12,286, domestic migration −4,692. Components are published separately and may not sum exactly.

379,038 jobs were located in the county in 2022 (−2.3% since 2019), and 523,689 employed residents lived there (+0.4% 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
94583 San Ramon
+12.4%
94582 San Ramon
+11.4%
94804 Richmond
+9.7%
ZIP losing residents
2015–19 → 2020–24
Change
94517 Clayton
−10.0%
94549 Lafayette
−4.6%
94564 Pinole
−2.6%

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 14% since 2015

Number of hotels in Contra Costa 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.

43
2015
44
2018
49
2020
52
2021
50
2022
49
2023

Highest measured density

ZIP
vs. U.S. average
Index
94523 Pleasant Hill
175%
94519 Concord
108%
94530 El Cerrito
98%
94596 Walnut Creek
91%
94597 Walnut Creek
78%
94583 San Ramon
75%
94520 Concord
72%
94526 Danville
58%
94806 San Pablo
53%
94521 Concord
49%
94804 Richmond
42%
94509 Antioch
38%
94553 Martinez
38%
94565 Pittsburg
27%

Lowest measured density

ZIP
vs. U.S. average
Index
94565 Pittsburg
27%
94553 Martinez
38%
94509 Antioch
38%
94804 Richmond
42%
94521 Concord
49%
94806 San Pablo
53%
94526 Danville
58%
94520 Concord
72%
94583 San Ramon
75%
94597 Walnut Creek
78%
94596 Walnut Creek
91%
94530 El Cerrito
98%
94519 Concord
108%
94523 Pleasant Hill
175%
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.

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
94523Pleasant Hill 34,59213,469 10 2.4 175% High density
94519Concord 19,0582,129 3 1.5 108% Above average
94530El Cerrito 26,4016,230 4 1.4 98% Below average
94596Walnut Creek 23,41732,387 5 1.3 91% Below average
94597Walnut Creek 23,1299,694 3 1.1 78% Below average
94583San Ramon 39,58336,442 6 1.0 75% Below average
94520Concord 37,38146,364 6 1.0 72% Below average
94526Danville 32,5849,129 3 0.8 58% Below average
94806San Pablo 62,54611,191 5 0.7 53% Below average
94521Concord 41,9095,659 3 0.7 49% Far below average
94804Richmond 44,89113,241 3 0.6 42% Far below average
94509Antioch 70,09012,352 4 0.5 38% Far below average
94553Martinez 48,64317,214 3 0.5 38% Far below average
94565Pittsburg 100,48812,568 4 0.4 27% Far below average
94505Discovery Bay 14,9701,170 0–2 — — Not published
94506Danville 27,0553,616 0–2 — — Not published
94507Alamo 14,5862,912 0–2 — — Not published
94511Bethel Island 1,864239 0–2 — — Not published
94513Brentwood 69,75519,262 0–2 — — Not published
94514Byron 1,953680 0–2 — — Not published
94516Canyon 2145 0–2 — — Not published
94517Clayton 12,3161,819 0–2 — — Not published
94518Concord 27,3454,884 0–2 — — Not published
94522Concord —17 0–2 — — Not published
94524Concord —191 0–2 — — Not published
94525Crockett 3,3721,164 0–2 — — Not published
94528Diablo 1,049170 0–2 — — Not published
94529Concord —49 0–2 — — Not published
94531Antioch 46,3877,748 0–2 — — Not published
94547Hercules 26,3024,695 0–2 — — Not published
94548Knightsen 83260 0–2 — — Not published
94549Lafayette 28,4208,904 0–2 — — Not published
94556Moraga 15,9983,857 0–2 — — Not published
94561Oakley 46,3683,601 0–2 — — Not published
94563Orinda 19,3783,136 0–2 — — Not published
94564Pinole 18,7615,145 0–2 — — Not published
94569Port Costa 29651 0–2 — — Not published
94570Moraga —5 0–2 — — Not published
94572Rodeo 8,9761,252 0–2 — — Not published
94575Moraga 97577 0–2 — — Not published
94582San Ramon 47,4242,450 0–2 — — Not published
94595Walnut Creek 16,9882,908 0–2 — — Not published
94598Walnut Creek 27,20619,695 0–2 — — Not published
94801Richmond 33,59110,717 0–2 — — Not published
94802Richmond —424 0–2 — — Not published
94803El Sobrante 27,6592,054 0–2 — — Not published
94805Richmond 14,6701,669 0–2 — — Not published
94807Richmond —69 0–2 — — Not published
94808Richmond —28 0–2 — — Not published
94820El Sobrante —4 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Concord

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 Concord retail space →
Crexi
Free listings + market data
Browse Concord retail space →
CityFeet
Retail space for lease
Browse Concord 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 Contra Costa 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: 73 establishments and $48M 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.