# Who gets found in San Francisco Bay Area?

Aug 30 → Sep 8 2 page-one leaders changed hands 10 new pages in the top 5

THE SEARCH LEDGER · SAN FRANCISCO BAY AREA EDITION · TUESDAY, SEPTEMBER 8, 2026

Every month, San Francisco Bay Area types 3,783,830 searches looking for a local business, and advertisers pay $4.89M chasing them. Somebody gets found. Somebody doesn't. This is the weekly ledger of who, at what price, and what's still up for grabs — refreshed weekly.

BY [SEO BANDWAGON](https://seobandwagon.com/about) · UPDATED WEEKLY · COLLECTED SEPTEMBER 8, 2026 · [METHODOLOGY](https://seobandwagon.com/local-seo/san-francisco-bay-area#methodology)

3,783,830

SEARCHES IN PLAY / MO

$4.89M

AD-EQUIV. VALUE / MO

1,207

LISTINGS TRACKED

5,349

KEYWORDS TRACKED

San Francisco Bay Area searches 8,169,250 times a month in total. The other 4,385,420 are branded or navigational — someone already knows where they are going.

Source: [Google Ads](https://ads.google.com/home/tools/keyword-planner/) search volume and cost-per-click via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, twelve-month averages · pulled September 8, 2026. "Searches in play" counts commercial and transactional intent only, classified by our own heuristics rather than by Google. Ad-equivalent value is Σ volume × CPC — one click priced for every tracked search, a ceiling on what the traffic would cost to buy, not spend and not revenue. Listings: [Google Maps](https://www.google.com/maps) results via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, deduped by place\_id · pulled September 8, 2026. Each category search returns at most 100 results, so this is a ceiling on what we see, not a census of the metro.

Free · sign in with Google · no credit card

## The demand

Before anyone wins a customer, the customer has to ask. Here is what San Francisco Bay Area asks Google for in an average month.

3,783,830

searches in an average month across the 2,405 keywords where a local business can actually be chosen — roughly **126,000 searches a day** for something, or someone, in San Francisco Bay Area.

### Where the demand goes

Each square is 1% of the addressable searches — the commercial and transactional ones a local business can win, 46% of everything San Francisco Bay Area searches.

Waffle chart of monthly search demand by vertical: Food & Dining 60 percent, Attractions 12 percent, Travel & Transit 10 percent, Other 7 percent, Hotels & Lodging 7 percent, Shopping 2 percent, Personal Care 1 percent, Health & Wellness 1 percent.

Source: [Google Ads](https://ads.google.com/home/tools/keyword-planner/) search volume and cost-per-click via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, twelve-month averages · pulled September 8, 2026, bucketed by our own vertical classifier — Google supplies no category. Squares are percentages of the addressable set, not of all search, and are largest-remainder rounded to 100.

Food & Dining 60% Attractions 12% Travel & Transit 10% Other 7% Hotels & Lodging 7% Shopping 2% Personal Care 1% Health & Wellness 1%

WHERE THE DEMAND CONCENTRATES

Food & Dining is **60% of the addressable demand** in San Francisco Bay Area, against 12% for Attractions. The board in Chapter 2 prices every one of those searches.

### When the demand comes

Search interest by month, 0–100 per vertical. The pink outline marks each vertical's peak — the month the phones ring.

Source: Google Ads monthly search volume via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target · pulled September 8, 2026. Each row is indexed to its own peak month, so cells compare a vertical against itself and never against another row. Not a search count, and not [Google Trends](https://trends.google.com/).

| VERTICAL | JAN | FEB | MAR | APR | MAY | JUN | JUL | AUG | SEP | OCT | NOV | DEC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Food & Dining | 84 | 75 | 88 | 86 | 99 | 100 | 100 | 90 | 86 | 89 | 84 | 76 |
| Attractions | 65 | 59 | 83 | 73 | 88 | 86 | 100 | 93 | 72 | 75 | 60 | 62 |
| Education | 80 | 79 | 83 | 97 | 96 | 95 | 98 | 100 | 82 | 82 | 80 | 80 |
| Shopping | 76 | 63 | 91 | 76 | 91 | 96 | 100 | 96 | 80 | 79 | 78 | 81 |
| Entertainment | 78 | 66 | 62 | 61 | 73 | 77 | 82 | 85 | 100 | 78 | 63 | 61 |
| Home Services | 62 | 63 | 58 | 51 | 51 | 55 | 57 | 64 | 100 | 66 | 53 | 51 |
| Personal Care | 79 | 73 | 91 | 86 | 99 | 99 | 89 | 100 | 95 | 91 | 75 | 77 |
| Hotels & Lodging | 78 | 74 | 93 | 83 | 95 | 96 | 92 | 99 | 97 | 100 | 72 | 69 |
| Real Estate | 91 | 80 | 96 | 93 | 97 | 94 | 89 | 100 | 85 | 81 | 77 | 69 |
| Health & Wellness | 100 | 83 | 96 | 89 | 88 | 93 | 92 | 92 | 92 | 91 | 82 | 89 |
| Travel & Transit | 79 | 79 | 86 | 81 | 100 | 97 | 83 | 100 | 82 | 100 | 82 | 82 |
| Legal | 80 | 72 | 100 | 69 | 63 | 55 | 62 | 75 | 92 | 92 | 59 | 54 |
| Professional Services | 60 | 60 | 100 | 53 | 30 | 23 | 25 | 37 | 59 | 38 | 33 | 36 |

### Climbing fastest

The steepest risers in San Francisco Bay Area over the last twelve months of Google Ads volume (Aug 2025 – Jul 2026). Growth compares each keyword's last three months against its own twelve-month average, so it tops out at 300% by construction.

4th of july san francisco ▲ 287% BREAKOUT

4th of july events san francisco ▲ 284% BREAKOUT

pink block party sf ▲ 269% BREAKOUT

redfin san francisco housing market ▲ 269% BREAKOUT

modern thai sf ▲ 261% BREAKOUT

Source: Google Ads monthly search volume via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, Aug 2025 – Jul 2026. Not [Google Trends](https://trends.google.com/), and not a weekly series — the window closes one to two months before the pull.

### Where the demand sits

Priced keywords that name one of the places we mine for San Francisco Bay Area — its seed suburbs plus the boroughs Maps returned at least twice — grouped by that name. A metro is not one market. This ranks the places we look for, not every place that exists — a landmark or district we do not mine is absent however much demand names it, and a metro can miss a place that would have ranked near the top. 30 more clear the bar below these.

Union Square NEIGHBORHOOD 86,860/mo

64 keywords · $106.8K/mo in ad-equivalent value

Fisherman'S Wharf NEIGHBORHOOD 82,050/mo

69 keywords · $144.3K/mo in ad-equivalent value

Oakland SUBURB 55,280/mo

41 keywords · $68.2K/mo in ad-equivalent value

Alamo Square NEIGHBORHOOD 37,010/mo

3 keywords · $10.8K/mo in ad-equivalent value

Hayes Valley NEIGHBORHOOD 32,810/mo

36 keywords · $22.2K/mo in ad-equivalent value

Berkeley SUBURB 26,450/mo

26 keywords · $142.4K/mo in ad-equivalent value

Japantown NEIGHBORHOOD 25,910/mo

29 keywords · $11.2K/mo in ad-equivalent value

Bernal Heights NEIGHBORHOOD 25,290/mo

15 keywords · $14.0K/mo in ad-equivalent value

North Beach NEIGHBORHOOD 24,530/mo

28 keywords · $37.2K/mo in ad-equivalent value

Financial District NEIGHBORHOOD 22,820/mo

6 keywords · $50.7K/mo in ad-equivalent value

Source: Computed from Google Ads search volume × CPC via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, September 8, 2026 — keywords grouped by the place name they contain. Rows are grouped by NAME CONTAINMENT, not by place: a keyword joins every row whose name it contains, so it is counted in both when it names two places AND when one row's name sits inside another's. So a shorter name sitting inside a longer one carries the longer one’s keywords too, and those two rows are not independent places. Rows rank names and do not sum to a metro total. Ad-equivalent value is Σ volume × CPC — a ceiling on what the traffic would cost to buy, not spend and not revenue.

**Union Square** alone carries 86,860 searches a month across 64 keywords, worth $106.8K a month at Google's posted prices. If your pages only ever say "San Francisco Bay Area", that is demand you are not addressing.

## The money

Attention in this city has a spot price, and Google publishes it: the cost per ad click. Here's what a customer's attention trades for in San Francisco Bay Area.

"ACCIDENT LAWYER SAN FRANCISCO" · COST OF ONE AD CLICK

$713.82

One click. Not a customer — a *click*. That's what a single visit from this search trades for in San Francisco Bay Area right now.

### Every keyword has a price tag

The 4,749 of 5,349 tracked keywords Google Ads returns a cost-per-click for, on a log scale. Amber gets deeper as the click gets pricier.

Strip plot of 4749 tracked keywords by cost per click, log scale. Cheapest: sf moma artists at $0.01. Most expensive: accident lawyer san francisco at $713.82.

### The price board

The 4,749 of 5,349 tracked keywords Google Ads returns a cost-per-click for. Volume and CPC are twelve-month averages, so neither moves week to week.

| # | KEYWORD | CPC | SEARCHES/MO | COST TO BUY ALL | Δ VS. LAST PULL |
| --- | --- | --- | --- | --- | --- |
| 1 | accident lawyer san francisco · LEGAL | $713.82 | 20 | $14.3K | — |
| 2 | car accident lawyer san francisco · LEGAL | $352.83 | 390 | $137.6K | — |
| 3 | berkeley internet · OTHER | $261.41 | 10 | $2.6K | — |
| 4 | injury lawyer san francisco · LEGAL | $246.54 | 1,000 | $246.5K | — |
| 5 | rooter service san francisco · OTHER | $241.34 | 10 | $2.4K | — |
| 6 | commercial pest control san francisco · HOME SERVICES | $155.60 | 10 | $1.6K | — |
| 7 | garage door service san francisco · HOME SERVICES | $127.82 | 10 | $1.3K | — |
| 8 | flea exterminator san francisco · HOME SERVICES | $127.10 | 10 | $1.3K | — |
| 9 | personal injury lawyer near me · LEGAL | $126.40 | 480 | $60.7K | — |
| 10 | rooter san francisco · OTHER | $121.12 | 10 | $1.2K | — |
| 11 | wrongful termination lawyer san francisco · LEGAL | $118.76 | 50 | $5.9K | — |
| 12 | international tax advisor san francisco · OTHER | $108.71 | 10 | $1.1K | — |
| 13 | bed bug inspection san francisco · OTHER | $108.26 | 10 | $1.1K | — |
| 14 | slip and fall lawyer san francisco · LEGAL | $106.80 | 10 | $1.1K | — |
| 15 | emergency plumber near me · HOME SERVICES | $99.71 | 170 | $17.0K | — |
| 16 | emergency plumber san francisco · HOME SERVICES | $98.57 | 110 | $10.8K | — |
| 17 | 24 hour plumber san francisco · HOME SERVICES | $98.53 | 20 | $2.0K | — |
| 18 | garage repair san francisco · OTHER | $93.41 | 10 | $934 | — |
| 19 | san francisco to san diego movers · OTHER | $92.80 | 10 | $928 | — |
| 20 | best roofers in san francisco · HOME SERVICES | $88.01 | 10 | $880 | — |
| 21 | moving from ny to san francisco · OTHER | $86.62 | 10 | $866 | — |
| 22 | pest inspection san francisco · HOME SERVICES | $85.09 | 10 | $851 | — |
| 23 | lawyer san francisco ca · LEGAL | $83.46 | 260 | $21.7K | — |
| 24 | san francisco lawyer · LEGAL | $83.25 | 30 | $2.5K | — |
| 25 | flat rate movers san francisco · OTHER | $82.03 | 10 | $820 | — |
| 26 | hvac repair near me · HOME SERVICES | $80.64 | 50 | $4.0K | — |
| 27 | moving company sf to la · OTHER | $79.66 | 10 | $797 | — |
| 28 | business lawyer san francisco · LEGAL | $77.18 | 50 | $3.9K | — |
| 29 | locksmith san francisco near me · HOME SERVICES | $76.09 | 10 | $761 | — |
| 30 | zapt movers san francisco · OTHER | $74.83 | 10 | $748 | — |
| 31 | labor lawyer san francisco · LEGAL | $74.48 | 30 | $2.2K | — |
| 32 | san francisco to la movers · OTHER | $74.00 | 10 | $740 | — |
| 33 | san francisco small business lawyer · LEGAL | $72.76 | 10 | $728 | — |
| 34 | sf to la movers · OTHER | $71.67 | 30 | $2.2K | — |
| 35 | best lawyers in san francisco · LEGAL | $71.44 | 30 | $2.1K | — |
| 36 | oasis moving company san francisco · OTHER | $70.87 | 10 | $709 | — |
| 37 | garage door replacement san francisco · HOME SERVICES | $66.95 | 10 | $670 | — |
| 38 | locksmith near me san francisco · HOME SERVICES | $65.52 | 10 | $655 | — |
| 39 | movers from la to sf · OTHER | $63.02 | 10 | $630 | — |
| 40 | divorce lawyers san francisco · LEGAL | $62.67 | 320 | $20.1K | — |
| 41 | moving from san francisco to new york city · OTHER | $62.52 | 30 | $1.9K | — |
| 42 | medical malpractice attorney san francisco · LEGAL | $62.31 | 10 | $623 | — |
| 43 | rat control san francisco · OTHER | $61.98 | 30 | $1.9K | — |
| 44 | plumbing services san francisco · HOME SERVICES | $61.80 | 50 | $3.1K | — |
| 45 | sf rodent control · OTHER | $59.45 | 20 | $1.2K | — |
| 46 | insurance lawyer san francisco · LEGAL | $59.29 | 10 | $593 | — |
| 47 | commercial appliance repair san francisco · HOME SERVICES | $58.90 | 10 | $589 | — |
| 48 | epoxy flooring san francisco · OTHER | $58.02 | 10 | $580 | — |
| 49 | mr roofing san francisco · HOME SERVICES | $57.57 | 10 | $576 | — |
| 50 | international movers san francisco · OTHER | $57.31 | 10 | $573 | — |

Source: [Google Ads](https://ads.google.com/home/tools/keyword-planner/) search volume and cost-per-click via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, twelve-month averages · pulled September 8, 2026. Bar length is CPC on a linear scale. "Cost to buy all" is searches × CPC — what the traffic would cost at Google's posted price if every search became a click, which is a ceiling, not a forecast. Δ compares each keyword's CPC against the Aug 30 pull; Google refreshes these figures roughly monthly, so most rows do not move between weekly pulls.

### Why would anyone pay $714 a click?

The businesses bidding here keep bidding. Here's the math that makes a $714 click rational, using legal industry benchmarks.

100 clicks bought −$71,382

15 become phone calls (15% call rate, benchmark)

3 become signed cases (20% close, benchmark)

Revenue from those 3 signed cases +$75,000 · 1.1× the spend

Call and close rates are vertical benchmarks, not promises. But the principle sets every price on the board: **a click costs what the customer behind it is worth.** Bounce rate is priced in.

ONE CUSTOMER FUNDS

How many clicks a single customer's revenue buys back, at that keyword's CPC. Customer values are industry benchmarks.

accident lawyer san francisco

~$25,000 case fee (benchmark) · $713.82/click

35 clicks

commercial pest control san francisco

~$9,500 job value (benchmark) · $155.60/click

61 clicks

city real estate sf

~$9,000 commission (benchmark) · $52.92/click

170 clicks

sf moma thursday night

~$1,800 customer value (benchmark) · $0.01/click

180,000 clicks

Source: CPC: [Google Ads](https://ads.google.com/home/tools/keyword-planner/) search volume and cost-per-click via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, twelve-month averages · pulled September 8, 2026. Call rate, close rate and customer value are industry benchmarks hardcoded in this page — not measured for this metro, and not for your business. Spend, revenue and the multiple are all products of that one CPC and those assumptions.

Same market, different economies. This is why "is $X a click expensive?" has no answer without knowing what a customer is worth to *you*.

### What owning a vertical costs

Monthly ad-equivalent value of all clicks in each vertical — what you'd pay Google to buy the demand you could rank for.

Food & Dining $1,027,000/mo

Hotels & Lodging $690,000/mo

Legal $610,000/mo

Travel & Transit $603,000/mo

Home Services $576,000/mo

Attractions $550,000/mo

Ranking organically doesn't pay that bill — it makes it someone else's.

## The fight

A market this valuable doesn't sit unclaimed. Here's who holds San Francisco Bay Area's front page, who's climbing, who's slipping — and where the seats are still empty.

32%

of San Francisco Bay Area's tracked page-one slots are held by one of the 40 national directories we name — en.wikipedia.org, www.yelp.com, www.instagram.com — their share is large, and it is beatable: Google prefers a good local answer when one exists. The other 68% is everything else — local businesses, and national brands we do not classify.

Waffle chart: 32 of 100 tracked page-one slots held by one of 40 named national directories, 68 by everything else.

out-of-town directories · 32 everything else · 68

Source: Google organic results via [DataForSEO](https://dataforseo.com/), 21 tracked keywords anchored on the San Francisco Bay Area coordinate · pulled September 8, 2026. "Directory" means the domain's registrable label matches one of 40 named national directory brands; everything else is counted as the remainder, which includes national brands we do not classify.

### Two pulls of "car accident lawyer san francisco"

Page-one position, last pull vs. this one: **bencrump.com moved ▲ 4 spots**. The chart grows a column with every pull as the archive builds.

Bump chart of page-one positions for car accident lawyer san francisco between Aug 30 and Sep 8: bencrump.com moved from position 10 → 6.

### This week's movers

Biggest changes between the Aug 30 and Sep 8 pulls.

▲ 16

Gateway Croissant

map rank for "bakery"

#20 → #4

▼ 13

Pronto Pizzeria

map rank for "pizza"

#5 → #18

▲ 4

bencrump.com

car accident lawyer san francisco

#10 → #6

▲ 4

attorneys.superlawyers.com

2 queries — injury lawyer san francisco · wrongful termination lawyer san francisco

2 up · 0 down

NEW

sf.eater.com

restaurants near me · new to page one

— → #3

NEW

x.com

san francisco intl airport · new to page one

— → #4

▲ 69

Fogo de Chão Brazilian Steakhouse

reviews

12,720 → 12,789

▲ 44

Origin Lab Coffee & Matcha

reviews

518 → 562

▲ 0.1★

Oaks Card Club

rating

3.8★ → 3.9★

▲ 12

Nakama Sushi

map rank for "restaurant"

#17 → #5

Movement = week-over-week snapshot diff · arrows and signed numbers, always

### Most contested keywords

Who currently leads the top 6 fights worth having. Leader = top organic result; OPEN RACE = no [map pack](https://seobandwagon.com/seo-glossary#local-pack) on the page.

restaurants near me

1,000,000 searches/mo

www.yelp.com AGGREGATOR

san francisco intl airport

301,000 searches/mo

www.flysfo.com OPEN RACE

gg park san francisco

90,500 searches/mo

sfrecpark.org OPEN RACE

museum sf de young

74,000 searches/mo

www.famsf.org OPEN RACE

airport sf

60,500 searches/mo

www.flysfo.com OPEN RACE

tony's neapolitan pizza

60,500 searches/mo

tonyspizzanapoletana.com OPEN RACE

NO MAP PACK

**10 of the 21 keywords we track show no map pack at all.** Google is answering those with links, not a map — so the way in is a page, not a profile. [See what that takes](https://seobandwagon.com/local-seo/san-francisco-bay-area#move).

### What page one is made of

Share of 21 tracked keywords showing each [SERP feature](https://seobandwagon.com/seo-glossary#serp-feature).

People Also Ask 90%

Map pack 52%

Source: Google organic results via [DataForSEO](https://dataforseo.com/), 21 tracked keywords anchored on the San Francisco Bay Area coordinate · pulled September 8, 2026. Feature presence as Google returned it; a featured snippet appeared on none of these SERPs and paid results on 2%, so neither is charted.

[People Also Ask](https://seobandwagon.com/seo-glossary#people-also-ask) boxes show on **90%** of these searches — answer those questions and you're on page one twice.

ANATOMY OF A #1

San Francisco Magic Theater @ the Marrakech

Top-rated of 92 tracked Theater

Rating 5.0 ★ (cat. median 4.6)

Reviews 1,804 (median 111)

Source: [Google Maps](https://www.google.com/maps) results via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, deduped by place\_id · pulled September 8, 2026. Each category search returns at most 100 results, so this is a ceiling on what we see, not a census of the metro.

None of this is magic. It's 16.3× the category's median review count. The playbook is public.

### Ranking with no website

Of the 1,207 businesses we track in San Francisco Bay Area's map results, **155** have no website at all — 13% of the field, showing up on reputation alone.

155

BUSINESSES RANKING WITHOUT A SITE

The most-reviewed of them has **1,557 reviews** and a 3.8 rating. If they are beating you, it is not because of their website.

Source: [Google Maps](https://www.google.com/maps) results via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, deduped by place\_id · pulled September 8, 2026. Each category search returns at most 100 results, so this is a ceiling on what we see, not a census of the metro. "No website" is the absence of a site link on the Google listing.

### Who holds the map pack

22 businesses hold the 32 pack seats across the 11 tracked keywords that return a map pack. # is the best position each held; seats counts the keywords they appear on.

#1

Morgan & Morgan

4.8 ★ · 866 reviews

3 SEATS

#1

Advanced Plumbing & Drain

4.9 ★ · 751 reviews

3 SEATS

#1

Dolan Law Firm, PC Personal Injury Lawyers

4.6 ★ · 299 reviews

3 SEATS

#2

Sally Morin Personal Injury Lawyers

4.9 ★ · 123 reviews

3 SEATS

#2

Ace Plumbing & Rooter, Inc.

4.9 ★ · 1,200 reviews

2 SEATS

#3

Discount Plumbing San Francisco

4.9 ★ · 503 reviews

2 SEATS

#1

Pizza Zone N Grill

4.0 ★ · 411 reviews

1 SEAT

#1

The Dentist Group

4.7 ★ · 262 reviews

1 SEAT

A DIFFERENT POOL

**15 of the 22 businesses holding these seats never appear in the category rosters we pull for San Francisco Bay Area.** That gap is a property of OUR roster, not of Google: every metro pulls the same 14 categories, and where they do not overlap the tracked keywords the share runs to 100% before Google is consulted. It says these packs were not measured by our category pull — not that categories do not matter.

Source: Google local pack via [DataForSEO](https://dataforseo.com/), 11 tracked keywords anchored on the San Francisco Bay Area metro coordinate, September 8, 2026. Rank is position within the pack as returned, not a ranking claim. Businesses are keyed on the cid Google returns; ratings and review counts are the listing's own, read once and not averaged.

### Nobody has claimed these

Of the 1,207 businesses we track in San Francisco Bay Area's map results, **153** are ranking on a listing no owner has claimed — 13% of the field, with nobody able to edit the hours, the category or the photos.

153

UNCLAIMED LISTINGS RANKING TODAY

The most-reviewed of them has **2,545 reviews** and a 4.2 rating and still nobody controls the profile. Claiming one is free.

Source: [Google Maps](https://www.google.com/maps) results via [DataForSEO](https://dataforseo.com/), San Francisco Bay Area city geo-target, deduped by place\_id · pulled September 8, 2026. Each category search returns at most 100 results, so this is a ceiling on what we see, not a census of the metro. "Unclaimed" is Google's own flag on the listing.

## The city itself

Search demand doesn't come from nowhere. What follows is the rest of what we track about San Francisco Bay Area — each line from a named source, and absent where we have none.

866K

PEOPLE

Median age 38.7. Every one of them picks businesses from a search box — Chapter 1's demand is this population talking.

$1,194,500

MEDIAN HOME VALUE

What the typical owner in the city proper says the home is worth — the city, not the metro.

$2,130

MEDIAN RENT / MO

Median gross rent in the city proper — rent plus the utilities the tenant pays.

Source: US Census Bureau, [American Community Survey](https://www.census.gov/programs-surveys/acs) 5-year estimates (2021 release), place level — San Francisco Bay Area city proper, not the metro; fetched 2026-09-08. Population, median age, home value and rent all come from this one block; nothing on these cards is typed in.

### San Francisco Bay Area vs. the nation

Three household figures — the city proper against the whole country, from the same survey on both sides.

| | SAN FRANCISCO BAY AREA | UNITED STATES | DIFFERENCE |
| --- | --- | --- | --- |
| Median household income | $126,187 a year | $69,021 | +83% |
| Median home value | $1,194,500 | $244,900 | +388% |
| Median gross rent | $2,130 a month | $1,163 | +83% |

Source: both sides US Census Bureau, [American Community Survey](https://www.census.gov/programs-surveys/acs) 5-year estimates, 2021 release (2017–2021) — the city at place level (San Francisco Bay Area city proper, not the metro; fetched 2026-09-08) and the nation as one geography (fetched 2026-09-09). Difference is the city over the national figure, computed. Unemployment, taxes, power and broadband are not here: no fetched source on both sides.

### The rest of the ledger

Everything else we track about living and working here — one line each, open what you need.

Coworking 15 spaces Low density — remote-worker economy

15 coworking spaces tracked — a low-density remote-work market. A remote-work population searches like a resident but spends like a visitor: lunch, gyms, services near the clusters.

METHODOLOGY

Search volume, cost-per-click and SERP data from DataForSEO, collected September 8, 2026. Business listings, ratings and map positions from a live read of Google Maps in the same pull. Rank movement is a diff against the previous pull of our snapshot archive. Ad-equivalent value is searches × CPC — it prices the traffic, not your revenue. Call rates, close rates, and customer values in the unit-economics section are industry benchmarks, not measurements. Every other module on this page renders only where the underlying figure exists; where it does not, the module is absent rather than estimated.

Collected and published by [SEO Bandwagon](https://seobandwagon.com/about), tracking local search since 2010. The San Francisco Bay Area edition comes from the same weekly sweep as [Google Business Profile Benchmarks](https://seobandwagon.com/research/gbp-benchmarks), whose method and verification are published in full. If a number here is wrong, [tell us](https://seobandwagon.com/contact).

## Your move

3.78M

SEARCHES IN PLAY / MO

$714

PRICIEST CLICK

32%

PAGE ONE DIRECTORY SHARE

10 of 21

TRACKED SERPS WITH NO MAP PACK

4 numbers, one conclusion: the demand is real, the price of ignoring it compounds, and the leaderboard is not settled. The only question the ledger can't answer is whether you're on it.

STEP 1 · FREE

### See where you stand

Run the free scan against your site — rankings, backlinks and page speed, free with a Google sign-in.

[Scan your site free](https://seobandwagon.com/local-seo/san-francisco-bay-area#scan)

STEP 2 · IF YOU'RE ON THE MAP

### Claim your seat

10 of the 21 contested keywords show no map pack at all — Google answers those with links, not a map.

[Claim your business](https://business.google.com/)

STEP 3 · EVERY PULL

### Read the next edition

The ledger reprints every week — movers, price changes, and open seats, in your inbox before your competitors read it.

[New to this? Start with the blog — plain-English guides, no jargon →](https://seobandwagon.com/blog)

## Linked ledgers

The three nearest tracked metros on the map, and the one our data says behaves most like this one.

[NEAREST · 75 MI Sacramento, CA 936,570 searches/mo · 1,105 listings](https://seobandwagon.com/local-seo/sacramento) [NEAREST · 186 MI Reno, NV 966,000 searches/mo · 1,227 listings](https://seobandwagon.com/local-seo/reno) [NEAREST · 347 MI Los Angeles, CA 16,620,810 searches/mo · 1,249 listings](https://seobandwagon.com/local-seo/los-angeles) [CLOSEST LOOKALIKE Boston, MA 2,538,560 searches/mo · 1,108 listings](https://seobandwagon.com/local-seo/boston)

Linked within the 54 metros we track, and nowhere else. Distance is straight-line between each metro's single anchor point — a downtown coordinate, not a centroid. Lookalike is the closest match on four measured features — search volume, ad prices, listing density and review depth — excluding the neighbours above and everything inside 500 km, so it surfaces a market you would not otherwise think to compare. Recomputed on every build, so it moves as the markets do. SRC: the 54-metro collection, pulled across September 8, 2026 and the day either side · [all metros →](https://seobandwagon.com/local-seo#cities)

GO DEEPER · THE LEDGER BY VERTICAL

[FOOD & DINING 2.3M/mo](https://seobandwagon.com/local-seo/san-francisco-bay-area/food-dining) [ENTERTAINMENT 96K/mo](https://seobandwagon.com/local-seo/san-francisco-bay-area/entertainment) [HOME SERVICES 23K/mo](https://seobandwagon.com/local-seo/san-francisco-bay-area/home-services)

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Canonical page: https://seobandwagon.com/local-seo/san-francisco-bay-area
Every metro: https://seobandwagon.com/local-seo#cities
Data reuse license: https://seobandwagon.com/data-license
Site overview for agents: https://seobandwagon.com/llms.txt · API docs: https://seobandwagon.com/docs/api