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Sacramento County, CA — Bars Saturation

How many bars 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. 65 ZIP codes analyzed.

Includes: Bars & taverns · Pubs & brewpubs (drinking-focused) · Cocktail & wine bars · Taprooms. Counted together because official statistics use one 722410 code.

Measured density: Range spans bands — 0.55× the U.S. rate (between 0.55× and 0.93× 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. 47 ZIP cells in this county are withheld, 35 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   Sacramento County bars — 55–93% of the U.S. rate

104 bars are counted in Sacramento County — 0.6 per 10,000 people present (residents + daytime workers), 55% of the U.S. rate of 1.0.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 22% between 2015 and 2023 (60 → 73). 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 95811 (Sacramento), 95816 (Sacramento), 95819 (Sacramento) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 95823 (Sacramento), 95670 (Rancho Cordova), 95828 (Sacramento).

Census County Business Patterns (2023) puts the county-wide count at 124 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: Sacramento County sits at 55% of the U.S. rate for bars. 35 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 55% and 93% of the U.S. rate. Why. The highest measured density is in 95811 and 95816; the lowest measured density is in 95823 and 95670.

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

Bars
104–198
published count; upper bound counts each withheld ZIP cell as 2 (47 cells) (2023)
Per 10,000 present
0.6
residents + daytime workers
U.S. average
1.0
per 10,000 present
County index
0.55×
vs. U.S.
Latest year (CBP)
124
2023 — $38M annual payroll
Residents
1,596,140
53 ZIPs with data
Workers
531,159
jobs located in county

Is the area growing?

Population
1,611,231
Census PEP, July 1 2024
Change since 2020
+1.5%
+24,504 people
Net migration 2024
+11,818
international +17,677, domestic −5,859
Jobs located here
712,832
LODES 2022, +4.2% since 2019

Sacramento County had an estimated 1,611,231 residents on July 1, 2024 — 1.5% more than in 2020 (+24,504). In the latest year it gained 16,725 people: births minus deaths +4,923, international migration +17,677, domestic migration −5,859. Components are published separately and may not sum exactly.

712,832 jobs were located in the county in 2022 (+4.2% since 2019), and 704,205 employed residents lived there (+4.2% 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
95742 Rancho Cordova
+42.5%
95811 Sacramento
+40.0%
95834 Sacramento
+20.5%
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
60
no paid employees (2024)
Receipts
$5.2M
published gross receipts
Receipts per business
$86K
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 bars 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 22% since 2015

Number of bars in Sacramento 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.

60
2015
61
2018
59
2020
63
2021
70
2022
73
2023

Highest measured density

ZIP
vs. U.S. average
Index
95811 Sacramento
1153%
95816 Sacramento
434%
95819 Sacramento
167%
95841 Sacramento
162%
95818 Sacramento
117%
95662 Orangevale
85%
95630 Folsom
79%
95820 Sacramento
77%
95610 Citrus Heights
76%
95821 Sacramento
70%
95831 Sacramento
64%
95822 Sacramento
60%
95608 Carmichael
58%
95825 Sacramento
58%
95828 Sacramento
42%

Lowest measured density

ZIP
vs. U.S. average
Index
95823 Sacramento
32%
95670 Rancho Cordova
39%
95828 Sacramento
42%
95825 Sacramento
58%
95608 Carmichael
58%
95822 Sacramento
60%
95831 Sacramento
64%
95821 Sacramento
70%
95610 Citrus Heights
76%
95820 Sacramento
77%
95630 Folsom
79%
95662 Orangevale
85%
95818 Sacramento
117%
95841 Sacramento
162%
95819 Sacramento
167%
Low measured density is not evidence of opportunity. A ZIP with few bars 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 ResidentsWorkersBarsIndex
95814Sacramento Employment hub 12,35527,245 18 687%
95652Mcclellan Employment hub 1,4868,141 0–2 —
95837Sacramento Destination 3176,430 0–2 —

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIPNeighborhood ResidentsWorkersBars Per 10kIndexStatus
95811Sacramento 8,81016,766 20 11.6 1153% Very high density
95814Sacramento 12,35527,245 18 6.9 687% Very high density
95816Sacramento 19,22516,329 12 4.4 434% Very high density
95819Sacramento 19,7377,936 4 1.7 167% High density
95841Sacramento 20,5008,071 4 1.6 162% High density
95818Sacramento 22,5815,794 3 1.2 117% Above average
95662Orangevale 32,6004,470 3 0.9 85% Below average
95630Folsom 79,48440,570 8 0.8 79% Below average
95820Sacramento 35,4106,498 3 0.8 77% Below average
95610Citrus Heights 46,92810,833 4 0.8 76% Below average
95821Sacramento 38,0649,351 3 0.7 70% Below average
95831Sacramento 43,5455,181 3 0.7 64% Below average
95822Sacramento 46,5695,958 3 0.6 60% Below average
95608Carmichael 61,44013,099 4 0.6 58% Below average
95825Sacramento 36,15630,508 3 0.6 58% Below average
95828Sacramento 61,68618,645 3 0.4 42% Far below average
95670Rancho Cordova 58,81934,817 3 0.4 39% Far below average
95823Sacramento 83,60718,749 3 0.3 32% Far below average
94203Sacramento —1,583 0–2 — — Not published
94208Sacramento —60 0–2 — — Not published
94230Sacramento —113 0–2 — — Not published
95609Carmichael —56 0–2 — — Not published
95611Citrus Heights —363 0–2 — — Not published
95615Courtland 91864 0–2 — — Not published
95621Citrus Heights 42,4424,313 0–2 — — Not published
95624Elk Grove 67,63014,344 0–2 — — Not published
95626Elverta 5,595273 0–2 — — Not published
95628Fair Oaks 44,8557,296 0–2 — — Not published
95632Galt 32,4934,116 0–2 — — Not published
95638Herald 2,517150 0–2 — — Not published
95641Isleton 2,214446 0–2 — — Not published
95652Mcclellan 1,4868,141 0–2 — — Not published
95655Mather 4,9014,381 0–2 — — Not published
95660North Highlands 35,4517,028 0–2 — — Not published
95671Represa 4,43229 0–2 — — Not published
95673Rio Linda 16,5122,263 0–2 — — Not published
95683Sloughhouse 6,515899 0–2 — — Not published
95690Walnut Grove 2,431298 0–2 — — Not published
95693Wilton 7,961710 0–2 — — Not published
95741Rancho Cordova —130 0–2 — — Not published
95742Rancho Cordova 17,76815,679 0–2 — — Not published
95757Elk Grove 56,7647,435 0–2 — — Not published
95758Elk Grove 65,72521,861 0–2 — — Not published
95759Elk Grove —91 0–2 — — Not published
95763Folsom —49 0–2 — — Not published
95812Sacramento —127 0–2 — — Not published
95813Sacramento —79 0–2 — — Not published
95815Sacramento 26,65821,756 0–2 — — Not published
95817Sacramento 14,21915,409 0–2 — — Not published
95824Sacramento 33,0834,968 0–2 — — Not published
95826Sacramento 40,16518,300 0–2 — — Not published
95827Sacramento 21,74212,961 0–2 — — Not published
95829Sacramento 31,8654,112 0–2 — — Not published
95830Sacramento 695194 0–2 — — Not published
95832Sacramento 12,8502,535 0–2 — — Not published
95833Sacramento 42,26512,173 0–2 — — Not published
95834Sacramento 36,24526,787 0–2 — — Not published
95835Sacramento 42,0046,273 0–2 — — Not published
95837Sacramento 3176,430 0–2 — — Not published
95838Sacramento 40,6778,409 0–2 — — Not published
95842Sacramento 34,0343,560 0–2 — — Not published
95843Antelope 47,6953,335 0–2 — — Not published
95860Sacramento —11 0–2 — — Not published
95864Sacramento 25,5003,411 0–2 — — Not published
95865Sacramento —214 0–2 — — Not published

Scroll the table sideways to see all columns.

Find an actual space in Folsom

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 Folsom retail space →
Crexi
Free listings + market data
Browse Folsom retail space →
CityFeet
Retail space for lease
Browse Folsom 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 Sacramento County and bars

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 722410 — drinking places (alcoholic beverages). 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: 124 establishments and $38M 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 (1.01 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.