Each question below is answered on the map type that fits it — Score, Amount, Fair share, Missing, Clusters or Variety — hex by hex. A hex is one hexagon on the map, about 350 m across (roughly 0.1 km²). Each answer leads with what the map found, lists its Standouts — the ranked groups of nearby hexes that come out on top — with the numbers behind them, and states what the data cannot tell you. The link at the end opens that exact map of San Jose on the same map type, so you can change the measure, the division or the comparison and get a different answer.
None of these is the only “right” way to ask. They are starting points chosen to show which measures exist for San Jose and how the map type you pick changes what you can honestly say.
Where should you open a new coffee shop in San Jose?
coffee shop demand-and-competition score — resident counts and walkable streets ranked against existing coffee shop presence
In San Jose, Santee & Ferrari, Cassell, and Mayfair North are the highest-ranking Standouts. Santee & Ferrari leads with a score of 70.9/100 across 37 hexes, showing ≈0 coffee shops nearby, ≈0 km of walkable streets, and ≈25,970 residents. Each Standout groups high-scoring hexes within a 1,200 m radius. On the Missing map, The Woods and Tanglewood-El Monte are short of coffee shops for residents within a 10-minute walk.
A shortlist by 3 factors, not a site recommendation.
How this answer was built
Three factors: how many people are around, how walkable the streets are, and how many of this business type are already mapped there. The last is scored inverted, so a hex ranks high when demand factors are strong and existing presence is thin.
Measure
Direction
Importance
Why it’s here
coffee shop competition
Less is better
45%
Count of mapped coffee shops already trading in the hex.
pedestrian length m
More is better
25%
Meters of walkable street — a proxy for how much passing footfall a frontage can see.
Total
More is better
30%
The 2020 Census resident count — the local demand base.
What this can’t tell you
This is a shortlist, not a site recommendation. It has no rent, no footfall, no unit availability, no licensing and no catchment modeling, and thin mapped presence is not proof that a hex lacks provision.
Try changing it
· Raise the importance of the competition factor to prioritize hexes with the least existing presence.
· Swap the demand factor for the age band or household type your customers actually fall into.
· Draw your own catchment on the map to score just that area.
All of these are adjustable on the San Jose map on the Free Tier.
The same question for other kinds of place
Same factors and importance, only the kind swapped. The Standouts are the Score map’s; the last column is where that kind is short for the people who live there, on the Missing map.
This answer ranks every hex in San Jose based on several factors. Coffee shop competition is a factor where less is better, with an importance of 45%. Pedestrian length m is a factor where more is better, with an importance of 25%. Total residents is also a factor where more is better, with an importance of 30%. The top-scoring hexes are then grouped into the Standouts described below.
Santee & Ferrari ranks #1 with a score of 70.9/100 across 37 hexes, showing ≈0 coffee shops nearby, ≈0 km of walkable streets, and ≈25,970 residents. Cassell ranks #2 with a score of 70.3/100 across 37 hexes, showing ≈0 coffee shops nearby, ≈0 km of walkable streets, and ≈23,521 residents. Mayfair North ranks #3 with a score of 70.2/100 across 37 hexes, showing ≈0 coffee shops nearby, ≈0 km of walkable streets, and ≈24,490 residents. The Woods (Santa Clara County) ranks #4 with a score of 68.1/100 across 37 hexes, showing ≈0 coffee shops nearby, ≈0 km of walkable streets, and ≈22,639 residents. Oak Grove ranks #5 with a score of 67.9/100 across 37 hexes, showing ≈1 coffee shop nearby, ≈0 km of walkable streets, and ≈22,051 residents.
Each Standout represents a group of high-scoring hexes located within a 1,200 m radius.
Factors: coffee shop competition, pedestrian length m and Total (2020). 3,112 of 3,454 hexes in San Jose were eligible and ranked. Last computed September 30, 2026.
Which are the most walkable neighborhoods of San Jose?
Walkability score — pedestrian street length ranked with transit stop density
In San Jose, the highest-ranking Standouts are Sunol-Midtown, North San Jose, and Erikson. Sunol-Midtown leads with a score of 8.8/100 across 36 hexes, where the data shows ≈0 km of walkable streets and ≈14 transit stops. Each Standout is a group of high-scoring hexes within a 1,200 m radius.
A shortlist by 2 factors, not a site recommendation.
How this answer was built
Two network measures from the same universe: meters of pedestrian-friendly street, and how many transit stops are within reach. Together they describe how far you can get on foot and what you can reach from there.
Measure
Direction
Importance
Why it’s here
pedestrian length m
More is better
60%
Meters of pedestrian-friendly street in the hex.
transit stop count
More is better
40%
Count of transit stops reachable from the hex.
What this can’t tell you
It measures network form, not experience — nothing about crossing safety, pavement quality, gradient, lighting or traffic. It is a score over hexes, not a score anyone has walked.
Try changing it
· Add eat-and-drink places to weigh what is actually within walking distance.
· Raise the importance of the transit factor to lean the score toward public-transport access.
All of these are adjustable on the San Jose map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Jose on pedestrian length m (more is better, importance 60%) and transit stop count (more is better, importance 40%), then groups the top-scoring hexes into the Standouts below.
Sunol-Midtown ranks #1 with a score of 8.8/100 across 36 hexes: ≈0 km of walkable streets and ≈14 transit stops. North San Jose ranks #2 with a score of 7.4/100 across 16 hexes: ≈0 km of walkable streets and ≈4 transit stops. Erikson ranks #3 with a score of 3.2/100 across 37 hexes: ≈0 km of walkable streets and ≈3 transit stops. Cedarville-Giannotta ranks #4 with a score of 4.6/100 across 26 hexes: ≈0 km of walkable streets and ≈3 transit stops. Tamien ranks #5 with a score of 2.1/100 across 37 hexes: ≈0 km of walkable streets and ≈4 transit stops.
Factors: pedestrian length m and transit stop count. 3,112 of 3,454 hexes in San Jose were eligible and ranked. Last computed September 30, 2026.
Mapped transit stops per km², with a Clusters map check — Overture Maps
Transit stops peak around Sunol-Midtown: 3.5 per km² (14 transit stops across 4 km²), against a San Jose figure of 0.1 per km². North San Jose and Sierra follow at 2 per km² and 1 per km². On the Clusters map, the transit stops around Garden Alameda (Santa Clara County) and Tamien form a cluster the test confirms.
A place record means it is mapped, not that it is open, licensed or of any size.
Full breakdown & sources
This answer shows transit stops in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below. Sunol-Midtown ranks #1: 3.5 per km² across 36 hexes (14 transit stops across 4 km²). North San Jose ranks #2: 2 per km² across 23 hexes (5 transit stops across 2.5 km²). Sierra ranks #3: 1 per km² across 26 hexes (3 transit stops across 2.9 km²). Tamien (Santa Clara County) ranks #4: 1 per km² across 37 hexes (4 transit stops across 4.1 km²). San Jose Flea Market ranks #5: 0.7 per km² across 37 hexes (3 transit stops across 4.1 km²). Each Standout is a group of hexes within a 1,200 m radius.
Measured as transit stops on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Residents per km² on the Amount map — US Census 2020 (NHGIS)
Residents peak around Downtown San Jose (Horace Mann) with 6,608.1 per km² (27,020 residents across 4.1 km²), compared to the San Jose figure of 2,640.2 per km². Santee & Ferrari and Loma Verde follow with 6,347.8 per km² and 6,326.1 per km² respectively.
Horace Mann as a whole has 3,157 residents across 0.4 km², 7,141.3 per km², 2.7× San Jose's figure.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows residents in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
Downtown San Jose (Horace Mann) ranks #1 with 6,608.1 per km² across 37 hexes (27,020 residents across 4.1 km²). Santee & Ferrari ranks #2 with 6,347.8 per km² across 37 hexes (25,970 residents across 4.1 km²). Loma Verde ranks #3 with 6,326.1 per km² across 17 hexes (11,882 residents across 1.9 km²). El Rancho Verde ranks #4 with 6,228 per km² across 37 hexes (25,469 residents across 4.1 km²). Loma Linda ranks #5 with 6,083.7 per km² across 25 hexes (16,798 residents across 2.8 km²).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as residents (2020) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where are household income levels highest in San Jose?
Household income level on the Amount map — ACS 2018–2022, a five-year estimate averaged over block groups
The highest household income level is $250,001 in Silver Creek (east), significantly above San Jose's overall figure of $143,339. You can explore this on the Amount map. Chaboya and Silver Crest follow closely, showing household income levels of $249,850 and $248,345 respectively.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows the household income level for every hex in San Jose on the Amount map. The Standouts below group the hexes with the highest household income level.
Silver Creek (east) ranks #1 with a household income level of $250,001 across 18 hexes, spanning Silver Creek. Chaboya ranks #2 with a household income level of $249,850 across 16 hexes. Silver Crest ranks #3 with a household income level of $248,345 across 22 hexes. Silver Creek (east 2) ranks #4 with a household income level of $246,503 across 26 hexes, also spanning Silver Creek. Montevideo ranks #5 with a household income level of $238,211 across 17 hexes.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as household income level (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Gross rent level on the Amount map — ACS 2018–2022, a five-year estimate averaged over block groups
Gross rent level reaches $3,501 in Silver Creek (east), compared to the San Jose figure of $2,688. Richmond Ranch and Pierce Ranch also show a gross rent level of $3,501.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows the gross rent level for every hex in San Jose on the Amount map, then groups the hexes with the highest gross rent level into the Standouts below.
Silver Creek (east) ranks #1 with a gross rent level of $3,501 across 22 hexes. It spans Silver Creek. Richmond Ranch ranks #2 with $3,501 across 10 hexes. Pierce Ranch ranks #3 with $3,501 across 13 hexes. Country Club ranks #4 with $3,501 across 29 hexes. Silver Creek (east 2) ranks #5 with $3,501 across 36 hexes, also spanning Silver Creek.
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as gross rent level (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Owner-estimated home value level on the Amount map — ACS 2018–2022, a five-year estimate averaged over block groups
Home value level peaks around Saratoga Creek at $1,996,515, against a San Jose figure of $1,124,687. Country Club (Santa Clara County) and Silver Crest follow at $1,953,698 and $1,881,880.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows home value level in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
Saratoga Creek ranks #1 with a home value level of $1,996,515 across 26 hexes. Country Club (Santa Clara County) ranks #2 with a home value level of $1,953,698 across 17 hexes. Silver Crest ranks #3 with a home value level of $1,881,880 across 37 hexes. Silver Creek (east) ranks #4 with a home value level of $1,843,700 across 29 hexes. It spans Silver Creek. Silver Creek (east 2) ranks #5 with a home value level of $1,840,785 across 25 hexes. It spans Silver Creek.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as home value level (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Which San Jose neighborhoods are the most mixed by race and Hispanic origin?
How evenly the 2020 Census race and Hispanic-origin groups are represented, on the Variety map — US Census 2020 (NHGIS)
The most varied mix of race and Hispanic-origin groups in San Jose is around Sakamoto (Santa Clara County): very mixed, with no single race and Hispanic-origin group above 37%. Pinehurst (Santa Clara County) and Starbird follow, with no single race and Hispanic-origin group above 34% and 32%.
Standout
Neighborhood
How mixed
Top kinds
Map
#1 Sakamoto
Santa Clara County
very mixed
White residents, not Hispanic 37%, Hispanic or Latino residents 28%, Asian residents, not Hispanic 27%
Counts residents in each published class; it says nothing about how long they have lived here.
Full breakdown & sources
This answer shows how mixed the race and Hispanic-origin groups are in every hex of San Jose on the Variety map, then groups the hexes with the most into the Standouts.
Sakamoto (Santa Clara County) ranks #1: very mixed across 37 hexes (White residents, not Hispanic 37%, Hispanic or Latino residents 28%, Asian residents, not Hispanic 27%). Pinehurst (Santa Clara County) ranks #2: very mixed across 36 hexes (Asian residents, not Hispanic 34%, Hispanic or Latino residents 31%, White residents, not Hispanic 26%). Starbird ranks #3: very mixed across 36 hexes (Asian residents, not Hispanic 32%, Hispanic or Latino residents 30%, White residents, not Hispanic 29%). Del Robles ranks #4: very mixed across 35 hexes (Hispanic or Latino residents 34%, Asian residents, not Hispanic 33%, White residents, not Hispanic 24%). Hillview (Santa Clara County) ranks #5: very mixed across 35 hexes (White residents, not Hispanic 35%, Hispanic or Latino residents 32%, Asian residents, not Hispanic 24%).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as race and Hispanic-origin groups (2020) on the Variety map; the Standouts are the hexes with the most. Last computed September 30, 2026.
How mixed the restaurant cuisines are, read within a 10-minute walk, on the Variety map — Overture Maps
Within a 10-minute walk, the most varied mix of cuisines in San Jose is around Almaden Plaza: very mixed, with no single cuisine above 33%. Convention and Cultural District and Brigadoon follow, with no single cuisine above 32% and 24%.
One hex is too small to show a mix: where any are found, only one kind is there in 55 of every 100 hexes. Within a 10-minute walk 19 hexes are read together, so a mix has room to show. Counts mapped places of each kind; it says nothing about quality or price.
Full breakdown & sources
This answer shows how mixed the cuisines are in every hex of San Jose, read within a 10-minute walk, on the Variety map, then groups the hexes with the most into the Standouts below.
Almaden Plaza ranks #1: very mixed across 38 hexes (Italian 33%, Mexican 26%, Japanese 24%). Convention and Cultural District ranks #2: very mixed across 35 hexes (Italian 32%, Mexican 31%, Japanese 13%). Brigadoon ranks #3: very mixed across 34 hexes (Mexican 24%, Italian 18%, Chinese 18%). Rosemary Gardens ranks #4: very mixed across 31 hexes (Indian 32%, Japanese 26%, Mexican 16%). Oakridge Palmia ranks #5: very mixed across 29 hexes (Italian 30%, Japanese 25%, Mexican 15%).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as cuisines on the Variety map, read within a 10-minute walk; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where is nightlife concentrated in San Jose — and is it a real cluster?
Bars and nightlife places on the Clusters map — Overture Maps
Around Sunol-Midtown (north-east) and Magliocco, bars and nightlife places form a cluster the test confirms as genuinely busy; the pattern is not chance. 70 hexes across San Jose test as genuinely busy, indicating significant concentrations of these places.
Standout
Neighborhood
Verdict
Hexes
Map
#1 Sunol-Midtown (north-east)also spans Sunol-Midtown, Horace Mann
A two-sided test with a false-discovery cut; hexes at the edge of the data are not judged.
Full breakdown & sources
This answer tests every hex of San Jose for bars and nightlife places against chance on the Clusters map, then groups the hexes with the most into the Standouts below.
Sunol-Midtown (north-east) ranks #1: genuinely busy across 39 hexes. It spans Sunol-Midtown and Horace Mann. Magliocco ranks #2: genuinely busy across 16 hexes. Washington ranks #3: genuinely busy across 6 hexes. Metro/Airport ranks #4: genuinely busy across 6 hexes. Sunol-Midtown (north) ranks #5: genuinely busy across 3 hexes. It spans Sunol-Midtown.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as bars and nightlife places on the Clusters map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where are grocery stores missing for the people who live there in San Jose?
Mapped grocery stores within a 10-minute walk against the number San Jose's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
Within a 10-minute walk of Rose, grocery stores fall short of San Jose's rate by about 1 (0 mapped, 1 expected). Hayes and Willow Glen South are each short by about 1.
One hex is too small to show a shortfall: at the San Jose rate, less than half of one is expected in nearly every hex. Within a 10-minute walk 19 hexes are read together, so a shortfall has room to show. Expected is modeled from the city rate. A zero means nothing mapped, never nothing there.
Full breakdown & sources
This answer shows how many grocery stores each hex of San Jose is short of at the city's rate, read within a 10-minute walk, on the Missing map. It then groups the hexes with the least into the Standouts below.
Rose ranks #1, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Hayes ranks #2, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Willow Glen South ranks #3, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Heritage ranks #4, short by about 1 across 36 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Glen Crest ranks #5, short by about 1 across 35 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as grocery stores on the Missing map, read within a 10-minute walk; the Standouts are the hexes with the least. Last computed September 30, 2026.
Renter-occupied homes as a share of all occupied homes on the Amount map — US Census 2020 (NHGIS)
Renter-occupied homes are most common around Metro/Airport, where 100% of homes are renter-occupied (257 of 257). Crescent Village follows at 99.2%, and North Park (North San Jose) has 92% renter-occupied homes.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows the measure of renter-occupied homes in every hex on the Amount map, then groups the hexes with the most into the Standouts below.
Metro/Airport ranks #1, with 100% renter-occupied homes across 17 hexes (257 renter-occupied homes of 257). Crescent Village ranks #2, with 99.2% across 13 hexes (5,078 renter-occupied homes of 5,119). North Park (North San Jose) ranks #3, with 92% across 12 hexes (1,676 renter-occupied homes of 1,822). St. James Park ranks #4, with 86.1% across 37 hexes (7,348 renter-occupied homes of 8,539). Loma Linda ranks #5, with 82.2% across 21 hexes (4,440 renter-occupied homes of 5,403).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as renter-occupied homes (2020) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Which lower-income parts of San Jose have the fewest grocery stores?
Coverage gap score — ACS 2018-2022 residents below the poverty level ranked against mapped grocery stores
In San Jose, the highest-ranking Standouts are Luz, Paseo, and Walnut Blossom. Luz leads with a score of 89.8/100 across 37 hexes, where the data shows ≈6 grocery stores nearby and ≈3,181 residents (income in the past 12 months below poverty level). Each Standout is a group of high-scoring hexes within a 1,200 m radius.
A shortlist by 2 factors, not a site recommendation.
How this answer was built
Residents below the poverty level ranked high against mapped grocery stores ranked low. It is the food-access question posed as a relative ranking rather than a claim that any hex has no food retail.
Measure
Direction
Importance
Why it’s here
grocery store competition
Less is better
45%
Count of mapped grocery stores, scored inverted so thinner presence ranks higher.
Income in the past 12 months below poverty level
More is better
55%
The "income below poverty level" cell of the ACS 2018-2022 poverty table.
What this can’t tell you
Mapped grocery presence is not food access: it carries no store size, no price level, no fresh-produce range and no opening hours, and a large supermarket just outside a hex serves it perfectly well. This ranks hexes; it does not identify anywhere as being without food.
Try changing it
· Add transit stops to weigh how easily residents can reach stores further out.
· Swap the poverty count for household income brackets to change the hardship measure.
All of these are adjustable on the San Jose map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Jose on grocery store competition (less is better, importance 45%) and Income in the past 12 months below poverty level (more is better, importance 55%), then groups the top-scoring hexes into the Standouts below.
Luz ranks #1 with a score of 89.8/100 across 37 hexes: ≈6 grocery stores nearby and ≈3,181 residents (income in the past 12 months below poverty level). Paseo ranks #2 with a score of 89.6/100 across 37 hexes: ≈5 grocery stores nearby and ≈5,147 residents (income in the past 12 months below poverty level). Walnut Blossom ranks #3 with a score of 89.6/100 across 37 hexes: ≈1 grocery store nearby and ≈2,315 residents (income in the past 12 months below poverty level). Lanai ranks #4 with a score of 89.2/100 across 37 hexes: ≈1 grocery store nearby and ≈2,594 residents (income in the past 12 months below poverty level). Northwood ranks #5 with a score of 84.4/100 across 39 hexes: ≈1 grocery store nearby and ≈1,461 residents (income in the past 12 months below poverty level).
Each Standout is a group of high-scoring hexes within a 1,200 m radius.
Factors: grocery store competition and Income in the past 12 months below poverty level (2022). 3,118 of 3,454 hexes in San Jose were eligible and ranked. Last computed September 30, 2026.
Where is the share of households earning $200,000 or more far above the San Jose average?
Households earning $200,000 or more as a share of all households, against the San Jose average on the Fair share map — ACS 2018–2022
Around Rancho Rinconada, households earning $200,000 or more run at 1.8× the San Jose average (55.7% here). North Park (North San Jose) and Oak Canyon sit at 1.5× and 1.9×.
Compared with the whole-city figure; a per-hex census figure is an estimate for that hex.
Full breakdown & sources
This answer shows households earning $200,000 or more in every hex of San Jose compared to the city average on the Fair share map. The Standouts below group the hexes with the most.
Rancho Rinconada ranks #1, showing 1.8× the average across 34 hexes. North Park (North San Jose) ranks #2, showing 1.5× the average across 22 hexes. Oak Canyon ranks #3, showing 1.9× the average across 38 hexes and spanning Crossgate. Willow Glen ranks #4, showing 1.5× the average across 40 hexes. Mirassou Vineyards ranks #5, showing 2.1× the average across 23 hexes.
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as households earning $200,000 or more (2022) on the Fair share map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Which San Jose neighborhoods have more than their fair share of coffee shops?
Mapped coffee shops per resident against the San Jose average on the Fair share map — Overture Maps and US Census 2020 (NHGIS)
Around Plaza de Cesar Chavez, coffee shops run at 22.1× the San Jose average (25 coffee shops for 4,172 residents). Westfield Oakridge and Shasta/Hanchett Park sit at 20.9× and 15.9×.
Compared with the whole-city rate; a place record means it is mapped, not open or licensed.
Full breakdown & sources
This answer compares coffee shops in every hex of San Jose with the city average on the Fair share map. It then groups the hexes with the most coffee shops into the Standouts below.
Plaza de Cesar Chavez ranks #1, showing 22.1× the average across 9 hexes (25 coffee shops for 4,172 residents). Westfield Oakridge ranks #2, showing 20.9× the average across 7 hexes (13 coffee shops for 2,277 residents). Shasta/Hanchett Park ranks #3, showing 15.9× the average across 5 hexes (12 coffee shops for 3,051 residents). The Villas (Santa Clara County) ranks #4, showing 16.6× the average across 5 hexes (9 coffee shops for 2,057 residents). Stonegate West ranks #5, showing 30.0× the average across 4 hexes (8 coffee shops for 976 residents).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as coffee shops on the Fair share map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where do restaurants cluster in San Jose, and is it a real cluster?
Mapped restaurants on the Clusters map — Overture Maps
Around Lakehouse and Almaden Plaza, restaurants form a cluster the test confirms as genuinely busy; the pattern is not chance. This answer identifies 284 hexes across San Jose that test as genuinely busy for restaurants.
A two-sided test with a false-discovery cut; hexes at the edge of the data are not judged.
Full breakdown & sources
This answer tests every hex of San Jose for restaurants against chance on the Clusters map, then groups the hexes with the most into the Standouts below.
Lakehouse ranks #1: genuinely busy across 37 hexes. Almaden Plaza ranks #2: genuinely busy across 27 hexes. Lynhaven ranks #3: genuinely busy across 23 hexes. Kelley Park ranks #4: genuinely busy across 21 hexes. Lanai ranks #5: genuinely busy across 21 hexes.
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as restaurants on the Clusters map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where do residents aged 25 to 39 live in San Jose?
Residents aged 25–39 as a share of all residents on the Amount map — US Census 2020 (NHGIS), counted on April 1, 2020
Residents aged 25–39 peak around North Park (north) (North San Jose) with 21.9% (6,863 residents aged 25–39 of 31,268). North Park (north 2) (North San Jose) and North San Jose follow at 21.6% and 20.1%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows residents aged 25–39 in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
North Park (north) (North San Jose) ranks #1 with 21.9% across 13 hexes (6,863 residents aged 25–39 of 31,268). It spans North Park. North Park (north 2) (North San Jose) ranks #2 with 21.6% across 14 hexes (2,513 residents aged 25–39 of 11,635). It spans North Park. North San Jose ranks #3 with 20.1% across 20 hexes (618 residents aged 25–39 of 3,078). Archer-4th Street (North San Jose) ranks #4 with 18.7% across 19 hexes (735 residents aged 25–39 of 3,934). Champion ranks #5 with 14.7% across 15 hexes (2,878 residents aged 25–39 of 19,606).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as residents aged 25–39 (2020) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where are pharmacies missing for the people who live there in San Jose?
Mapped pharmacies within a 10-minute walk against the number San Jose's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
Within a 10-minute walk of Hayes, pharmacies fall short of San Jose's rate by about 1 (0 mapped, 1 expected). The Woods and Payne are each short by about 1. Cherrywood and Willow Glen also show a shortfall of about 1.
One hex is too small to show a shortfall: at the San Jose rate, less than half of one is expected in nearly every hex. Within a 10-minute walk 19 hexes are read together, so a shortfall has room to show. Expected is modeled from the city rate. A zero means nothing mapped, never nothing there.
Full breakdown & sources
This answer shows how many pharmacies each hex of San Jose is short of at the city's rate, read within a 10-minute walk, on the Missing map. The hexes with the largest shortfalls are grouped into the Standouts below.
Hayes ranks #1, with a shortfall of about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). The Woods ranks #2, with a shortfall of about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Payne ranks #3, with a shortfall of about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex).
Cherrywood ranks #4, with a shortfall of about 1 across 36 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Willow Glen ranks #5, with a shortfall of about 1 across 33 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Each Standout is a group of hexes within a 1,200 m radius.
Measured as pharmacies on the Missing map, read within a 10-minute walk; the Standouts are the hexes with the least. Last computed September 30, 2026.
Householders living alone as a share of all residents on the Amount map — US Census 2020 (NHGIS)
People living alone are most common around Metro/Airport, where 6.6% of the population lives alone (79 people out of 1,190). St. James Park and The Villages follow, each with 5.3% of their populations living alone.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows people living alone in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
Metro/Airport ranks #1, with 6.6% of its population living alone across 14 hexes (79 people living alone of 1,190). St. James Park ranks #2, with 5.3% across 37 hexes (3,515 people living alone of 65,698). The Villages ranks #3, with 5.3% across 26 hexes (761 people living alone of 14,334). North San Jose ranks #4, with 4% across 37 hexes (767 people living alone of 19,120). Cypress ranks #5, with 3.6% across 26 hexes (1,149 people living alone of 32,009).
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as people living alone (2020) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
How mixed the kinds of nightlife place are, read within a 10-minute walk, on the Variety map — Overture Maps
Within a 10-minute walk, the most varied mix of nightlife kinds in San Jose is around Sunol-Midtown: very mixed, with no single nightlife kind above 41%. Norman Y. Mineta San José International Airport and Willow Glen follow, with no single nightlife kind above 44% and 33%.
One hex is too small to show a mix: where any are found, only one kind is there in 84 of every 100 hexes. Within a 10-minute walk 19 hexes are read together, so a mix has room to show. Counts mapped places of each kind; it says nothing about quality or price.
Full breakdown & sources
This answer shows how mixed the nightlife kinds are in every hex of San Jose, read within a 10-minute walk, on the Variety map, then groups the hexes with the most into the Standouts below.
Sunol-Midtown ranks #1: very mixed across 37 hexes (Lounge 41%, Cocktail Bar 17%, Wine Bar 17%). Norman Y. Mineta San José International Airport ranks #2: very mixed across 34 hexes (Lounge 44%, Wine Bar 33%, Cocktail Bar 11%). Willow Glen ranks #3: very mixed across 23 hexes (Cocktail Bar 33%, Wine Bar 33%, Lounge 33%). It spans Fruitdale. Stallion ranks #4: very mixed across 21 hexes (Pub 33%, Dance Club 33%, Lounge 33%). Archer-4th Street ranks #5: very mixed across 21 hexes (Lounge 67%, Dance Club 33%).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as nightlife kinds on the Variety map, read within a 10-minute walk; the Standouts are the hexes with the most. Last computed September 30, 2026.
Which San Jose neighborhoods have far more married couples with children than average?
Married-couple families with own children under 18 as a share of all families, against the San Jose average on the Fair share map — ACS 2018–2022
Around Joaquin Miller, married couples with children are 1.4× the San Jose average, with 12.3% of households here. De Voss and Murillo also show high concentrations, at 1.3× and 1.4× the average, respectively, making them Standouts for this measure.
Compared with the whole-city figure; a per-hex census figure is an estimate for that hex.
Full breakdown & sources
This answer compares married couples with children in every hex of San Jose with the city average on the Fair share map, then groups the hexes with the most into the Standouts below.
Joaquin Miller ranks #1, showing 1.4× the average across 26 hexes. De Voss ranks #2, with 1.3× the average across 32 hexes. Murillo ranks #3, with 1.4× the average across 22 hexes. McKay ranks #4, with 1.4× the average across 31 hexes. Loma Linda ranks #5, with 1.4× the average across 15 hexes.
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as married couples with children (2022) on the Fair share map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Children under five as a share of all residents on the Amount map — US Census 2020 (NHGIS), counted on April 1, 2020
The map shows where children under five are found across San Jose. Coyote Valley has the highest measure, with 9.2% of its population being children under five (2 children under five of 20). North San Jose follows with 6%, and Calero County Park has 4.8%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows children under five in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
Coyote Valley is #1, with 9.2% across 10 hexes (2 children under five of 20). North San Jose is #2, with 6% across 23 hexes (12 children under five of 196). Calero County Park is #3, with 4.8% across 6 hexes (4 children under five of 90). Norman Y. Mineta San José International Airport is #4, with 3.4% across 6 hexes (1 children under five of 41). Crescent Village is #5, with 3% across 14 hexes (654 children under five of 21,516).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as children under five (2020) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where do San Jose's shops cluster, and is it a real cluster?
Mapped shops of every kind on the Clusters map — Overture Maps
This answer shows that shops form genuinely busy Standouts around Component and South Industrial District, a pattern confirmed not to be by chance. 290 hexes across San Jose test as genuinely busy for shops.
A two-sided test with a false-discovery cut; hexes at the edge of the data are not judged.
Full breakdown & sources
This answer identifies hexes in San Jose with genuinely busy concentrations of shops, testing each hex against chance on the Clusters map. It then groups the hexes with the most shops into the Standouts below.
Component ranks #1, with genuinely busy shops across 33 hexes. South Industrial District ranks #2, with genuinely busy shops across 31 hexes. Almaden Plaza ranks #3, with genuinely busy shops across 28 hexes. Cypress ranks #4, with genuinely busy shops across 27 hexes. North San Jose ranks #5, with genuinely busy shops across 27 hexes.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as shops on the Clusters map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where are bank branches missing for the people who live there in San Jose?
Mapped bank and credit-union branches within a 10-minute walk against the number San Jose's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
Within a 10-minute walk of Vinci South, bank branches are short of San Jose's rate by about 1 (1 mapped, 2 expected). Seven Trees is short by about 2, and Hayes is short by about 1. These are the top three Standouts where bank branches are least common compared to the city's rate.
One hex is too small to show a shortfall: at the San Jose rate, less than half of one is expected in 99 of every 100 hexes. Within a 10-minute walk 19 hexes are read together, so a shortfall has room to show. Expected is modeled from the city rate. A zero means nothing mapped, never nothing there.
Full breakdown & sources
This answer shows how many bank branches each hex of San Jose is short of compared to the city's rate, considering a 10-minute walk. The Missing map displays these shortfalls, and the Standouts below group the hexes with the largest shortfalls.
Vinci South ranks #1, with a shortfall of about 1 across 39 hexes (1 mapped, 2 expected within a 10-minute walk of its top hex). Seven Trees ranks #2, with a shortfall of about 2 across 38 hexes (1 mapped, 2 expected within a 10-minute walk of its top hex). Hayes ranks #3, with a shortfall of about 1 across 37 hexes (0 mapped, 2 expected within a 10-minute walk of its top hex). Brookwood Terrace ranks #4, with a shortfall of about 2 across 37 hexes (1 mapped, 3 expected within a 10-minute walk of its top hex). Rogers ranks #5, with a shortfall of about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex).
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as bank branches on the Missing map, read within a 10-minute walk; the Standouts are the hexes with the least. Last computed September 30, 2026.
Where does rent take 30% or more of household income in San Jose?
Renter households paying 30% or more of income in rent, as a share of renter households, on the Amount map — ACS 2018–2022
The map highlights hexes with a high percentage of renter households paying 30% or more of income in rent. La Pala South shows the highest at 79% (156 of 198 renter households). Santa Teresa (Santa Clara County) and Brenning follow, both at 72%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows renter households paying 30% or more of income in rent in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
La Pala South ranks #1, with 79% across 7 hexes (156 renter households paying 30% or more of income in rent of 198). Santa Teresa (Santa Clara County) ranks #2, with 72% across 21 hexes (119 renter households paying 30% or more of income in rent of 165). Brenning ranks #3, with 72% across 37 hexes (776 renter households paying 30% or more of income in rent of 1,077). Woodside of Almaden ranks #4, with 70.2% across 9 hexes (18 renter households paying 30% or more of income in rent of 26). Seven Trees ranks #5, with 69.5% across 31 hexes (1,019 renter households paying 30% or more of income in rent of 1,467).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as renter households paying 30% or more of income in rent (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Which San Jose neighborhoods have more than their fair share of restaurants?
Mapped restaurants per resident against the San Jose average on the Fair share map — Overture Maps and US Census 2020 (NHGIS)
This answer shows that restaurants around Paseo are at 15.3× the San Jose average, with 163 restaurants for 3,746 residents across 7 hexes. Hedding-Coleman and Cory also show high concentrations, at 13.5× and 13.6× the average respectively.
Compared with the whole-city rate; a place record means it is mapped, not open or licensed.
Full breakdown & sources
This answer compares restaurants in every hex of San Jose with the city average on the Fair share map, then groups the hexes with the most into the Standouts below.
Paseo ranks #1, showing 15.3× the average across 7 hexes, with 163 restaurants for 3,746 residents. Hedding-Coleman ranks #2, showing 13.5× the average across 10 hexes, with 121 restaurants for 3,131 residents. Cory ranks #3, showing 13.6× the average across 5 hexes, with 79 restaurants for 2,057 residents. Little Saigon ranks #4, showing 28.1× the average across 5 hexes, with 75 restaurants for 932 residents. North San Pedro ranks #5, showing 7.2× the average across 5 hexes, with 75 restaurants for 3,695 residents.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as restaurants on the Fair share map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Residents aged 75 and over as a share of all residents on the Amount map — US Census 2020 (NHGIS), counted on April 1, 2020
Residents aged 75 and over peak around The Villages (east), where 12.3% of residents are aged 75 and over (1,135 of 9,194). Coyote Valley and Dry Creek follow, with 9.6% and 4.3% respectively.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows residents aged 75 and over in every hex of San Jose on the Amount map. The hexes with the most residents aged 75 and over are grouped into the Standouts below.
The Villages (east) ranks #1, with 12.3% across 24 hexes (1,135 residents aged 75 and over of 9,194). It spans The Villages. Coyote Valley ranks #2, with 9.6% across 10 hexes (2 residents aged 75 and over of 20). Dry Creek ranks #3, with 4.3% across 36 hexes (1,202 residents aged 75 and over of 28,019). The Villages (east 2) ranks #4, with 4.1% across 37 hexes (609 residents aged 75 and over of 14,774). It spans The Villages. Country Club (Santa Clara County) ranks #5, with 3.9% across 22 hexes (416 residents aged 75 and over of 10,632).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as residents aged 75 and over (2020) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Owner-occupied homes valued at $1,000,000 or more as a share of all owner-occupied homes on the Amount map — ACS 2018–2022
Homes valued at $1 million or more are most common in Woodside of Almaden, where 98.4% of homes (239 of 243) meet this value. Calabazas North (Santa Clara County) follows at 98.1%, and Silver Creek (east) at 97.5%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows homes valued at $1 million or more in every hex on the Amount map, then groups the hexes with the most into the Standouts below.
Woodside of Almaden ranks #1, with 98.4% across 9 hexes (239 homes valued at $1 million or more of 243). Calabazas North (Santa Clara County) ranks #2, with 98.1% across 8 hexes (408 homes valued at $1 million or more of 416). Silver Creek (east) ranks #3, with 97.5% across 25 hexes (386 homes valued at $1 million or more of 396). It spans Silver Creek. Silver Creek (east 2) ranks #4, with 97% across 22 hexes (693 homes valued at $1 million or more of 714). It spans Silver Creek. Crossgate ranks #5, with 96.9% across 37 hexes (2,548 homes valued at $1 million or more of 2,631).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as homes valued at $1 million or more (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where is the poverty rate far above the San Jose average?
Residents below the poverty level as a share of residents with a determined poverty status, against the San Jose average on the Fair share map — ACS 2018–2022
Around Paseo, residents below the poverty level run at 4.2x the city average (6.3% here). Luz and Sunol-Midtown sit at 2.1x and 2.1x, respectively, compared to the city average.
Compared with the whole-city figure; a per-hex census figure is an estimate for that hex.
Full breakdown & sources
This answer compares residents below the poverty level in every hex with the city average on the Fair share map, then groups the hexes with the most into the Standouts below.
Paseo ranks #1: 4.2x the average across 23 hexes. Luz ranks #2: 2.1x the average across 30 hexes. Sunol-Midtown ranks #3: 2.1x the average across 35 hexes. Lanai ranks #4: 2.0x the average across 19 hexes. Oak Grove ranks #5: 2.0x the average across 11 hexes.
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as residents below the poverty level (2022) on the Fair share map; the Standouts are the hexes with the most. Last computed September 30, 2026.
When exploring the Clusters map for hotels, you will see 144 hexes across San Jose are genuinely busy. Notable concentrations appear around Convention and Cultural District and Metro/Airport, where the pattern is confirmed not to be chance.
A two-sided test with a false-discovery cut; hexes at the edge of the data are not judged.
Full breakdown & sources
This answer shows every hex of San Jose for hotels on the Clusters map, identifying those that are genuinely busy and grouping the most concentrated hexes into the Standouts below.
Convention and Cultural District ranks #1, genuinely busy across 37 hexes. Metro/Airport ranks #2, genuinely busy across 24 hexes. Goodyear ranks #3, genuinely busy across 22 hexes. Shasta/Hanchett Park ranks #4, genuinely busy across 20 hexes. North San Jose ranks #5, genuinely busy across 15 hexes.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as hotels on the Clusters map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where are parks missing for the people who live there in San Jose?
Mapped parks within a 10-minute walk against the number San Jose's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
This answer identifies where parks are fewer than expected in San Jose. Within a 10-minute walk of Seven Trees, parks fall short of San Jose's rate by about 1 (1 mapped, 2 expected). Kennedy and Holly Oaks are each short by about 1.
One hex is too small to show a shortfall: at the San Jose rate, less than half of one is expected in 99 of every 100 hexes. Within a 10-minute walk 19 hexes are read together, so a shortfall has room to show. Expected is modeled from the city rate. A zero means nothing mapped, never nothing there.
Full breakdown & sources
This answer uses the Missing map to show how many parks each hex of San Jose has compared to the city's rate, considering a 10-minute walk. The Standouts below group the hexes with the fewest parks.
Seven Trees is the #1 Standout, short by about 1 across 37 hexes (1 mapped, 2 expected within a 10-minute walk of its top hex). Kennedy is the #2 Standout, short by about 1 across 37 hexes (0 mapped, 2 expected within a 10-minute walk of its top hex). Holly Oaks is the #3 Standout, short by about 1 across 37 hexes (1 mapped, 2 expected within a 10-minute walk of its top hex). Anderson West (Santa Clara County) is the #4 Standout, short by about 1 across 37 hexes (1 mapped, 2 expected within a 10-minute walk of its top hex). Mayfair North is the #5 Standout, short by about 2 across 36 hexes (1 mapped, 3 expected within a 10-minute walk of its top hex).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as parks on the Missing map, read within a 10-minute walk; the Standouts are the hexes with the least. Last computed September 30, 2026.
Homes in buildings of 50 or more units as a share of all homes on the Amount map — ACS 2018–2022
Homes in buildings of 50 or more units peak around North Park (North San Jose): 90% (4,124 homes in buildings of 50 or more units of 4,584). Westwinds and Metro/Airport (North San Jose) follow at 80.5% and 77.9%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows homes in buildings of 50 or more units in every hex of San Jose on the Amount map. It then groups the hexes with the most into the Standouts below.
North Park (North San Jose) ranks #1, with 90% across 22 hexes (4,124 homes in buildings of 50 or more units of 4,584). Westwinds ranks #2, with 80.5% across 23 hexes (2,016 homes in buildings of 50 or more units of 2,505). Metro/Airport (North San Jose) ranks #3, with 77.9% across 37 hexes (556 homes in buildings of 50 or more units of 713). Crescent Village ranks #4, with 56.7% across 28 hexes (1,703 homes in buildings of 50 or more units of 3,004). Renaissance ranks #5, with 55.9% across 25 hexes (2,125 homes in buildings of 50 or more units of 3,803).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as homes in buildings of 50 or more units (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
How mixed the kinds of shop are, read within a 10-minute walk, on the Variety map — Overture Maps
To find the most varied mix of shop kinds in San Jose within a 10-minute walk, look around Little Saigon. It is very mixed, with no single shop kind above 51%. Hammer and Fountain Plaza also offer a very mixed selection, with no single shop kind above 54% and 52% respectively.
Standout
Neighborhood
How mixed
Top kinds
Map
#1 Little Saigonalso spans Cinderella
—
very mixed
Specialty Store 51%, Fashion And Apparel Store 30%, Food And Beverage Store 17%
One hex is too small to show a mix: where any are found, only one kind is there in 61 of every 100 hexes. Within a 10-minute walk 19 hexes are read together, so a mix has room to show. Counts mapped places of each kind; it says nothing about quality or price.
Full breakdown & sources
This answer shows the mix of shop kinds in every hex of San Jose, considering what is available within a 10-minute walk. The Variety map highlights hexes with a very mixed selection, and the Standouts below group the hexes with the most variety.
Little Saigon ranks #1, showing a very mixed selection across 38 hexes, with Specialty Store at 51%, Fashion And Apparel Store at 30%, and Food And Beverage Store at 17%. It includes the neighborhood of Cinderella. Hammer ranks #2, also very mixed across 37 hexes, with Specialty Store at 54%, Fashion And Apparel Store at 20%, and Food And Beverage Store at 16%. Fountain Plaza ranks #3, very mixed across 36 hexes, with Specialty Store at 52%, Fashion And Apparel Store at 24%, and Food And Beverage Store at 18%. Pacheco ranks #4, very mixed across 32 hexes, with Specialty Store at 45%, Food And Beverage Store at 26%, and Fashion And Apparel Store at 18%. Ramblewood ranks #5, very mixed across 31 hexes, with Specialty Store at 53%, Food And Beverage Store at 21%, and Second Hand Store at 9%.
Each Standout is a group of hexes within a 1,200 m radius.
Measured as shop kinds on the Variety map, read within a 10-minute walk; the Standouts are the hexes with the most. Last computed September 30, 2026.
Detached single-family homes as a share of all homes on the Amount map — ACS 2018–2022
Detached single-family homes are most common around Guadalupe MRF, where they make up 100% of homes (25 of 25). Silver Creek Valley and Murillo also show high concentrations, with 98.8% of homes being detached single-family.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows the prevalence of detached single-family homes in every hex of San Jose on the Amount map. It then groups the hexes with the most into the Standouts below.
Guadalupe MRF ranks #1, with 100% of homes being detached single-family across 9 hexes (25 of 25). Silver Creek Valley ranks #2, with 98.8% across 20 hexes (338 of 342). Murillo ranks #3, with 98.8% across 19 hexes (1,400 of 1,417). La Colina ranks #4, with 98.8% across 24 hexes (2,332 of 2,361). Clayton North ranks #5, with 98.8% across 16 hexes (683 of 691).
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as detached single-family homes (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where is San Jose's cultural scene densest against the city average?
Mapped arts and entertainment places per km² against the San Jose average on the Fair share map — Overture Maps
Around Plaza de Cesar Chavez, arts and entertainment places run at 48.0× the San Jose average (93 arts and entertainment places across 1.2 km²). Japantown (Hensley Historic District) and Santa Clara County (north-east) (Santa Clara County) sit at 16.0× and 14.4×.
Willow Glen as a whole has 15 arts and entertainment places across 5 km², 3 per km², 2.1× San Jose's figure.
Compared with the whole-city rate; a place record means it is mapped, not open or licensed.
Full breakdown & sources
This answer compares arts and entertainment places in every hex of San Jose with the city average on the Fair share map. The hexes with the most arts and entertainment places are grouped into the Standouts below.
Plaza de Cesar Chavez ranks #1, showing 48.0× the average across 11 hexes, with 93 arts and entertainment places across 1.2 km². Japantown (Hensley Historic District) ranks #2, showing 16.0× the average across 16 hexes, with 45 arts and entertainment places across 1.8 km². Santa Clara County (north-east) (Santa Clara County) ranks #3, showing 14.4× the average across 11 hexes, with 28 arts and entertainment places across 1.2 km². Santa Clara County (east) (Santa Clara County) ranks #4, showing 12.0× the average across 9 hexes, with 19 arts and entertainment places across 1 km². Willow Glen ranks #5, showing 9.0× the average across 12 hexes, with 19 arts and entertainment places across 1.3 km².
Each Standout is a group of hexes within a 1,200 meter radius.
Measured as arts and entertainment places on the Fair share map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Which San Jose neighborhoods combine high household incomes with residents aged 25 to 39?
Overlap score — ACS 2018-2022 income levels ranked with 2020 Census age counts
In San Jose, the highest-ranking Standouts are Commodore, Blackford and Eden. Commodore leads with a score of 68/100 across 37 hexes, where the data shows median income: 166,096 and ≈4,584 residents aged 25-39. Each Standout is a group of high-scoring hexes within a 1,200 m radius.
A shortlist by 2 factors, not a site recommendation.
How this answer was built
Household income and the 25-39 age band are ranked together, high on both. They come from different censuses — income is an ACS 2018-2022 block-group estimate, the age count a 2020 Census 100% enumeration — and from different universes, households and people.
Measure
Direction
Importance
Why it’s here
Median household income in the past 12 months (in 2022 inflation-adjusted dollars)
More is better
50%
The ACS 2018-2022 household income figure, published per block group.
Male: 25 to 29 years
More is better
50%
The 25-29, 30-34 and 35-39 male and female cells of the 2020 Census sex-by-age table, summed and ranked once.
What this can’t tell you
It cannot say that the residents aged 25-39 are the ones with the high incomes. No table crosses age with income, so this is two separate distributions ranking high in the same hex: an overlap of hexes, not a description of anybody.
Try changing it
· Switch to household income brackets for a countable income figure instead of a level.
· Swap the age band for 18-24 or 65-and-over to move the profile.
All of these are adjustable on the San Jose map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Jose on Median household income in the past 12 months (in 2022 inflation-adjusted dollars) (more is better, importance 50%) and Male: 25 to 29 years (more is better, importance 50%). The top-scoring hexes are then grouped into the Standouts below.
Commodore ranks #1 with a score of 68/100 across 37 hexes: median income: 166,096 and ≈4,584 residents aged 25-39. Blackford ranks #2 with a score of 60/100 across 41 hexes: median income: 152,708 and ≈6,126 residents aged 25-39. Eden ranks #3 with a score of 58.3/100 across 42 hexes: median income: 142,706 and ≈5,900 residents aged 25-39. Kettman ranks #4 with a score of 65.9/100 across 37 hexes: median income: 169,951 and ≈3,601 residents aged 25-39. Morrill ranks #5 with a score of 65/100 across 37 hexes: median income: 171,109 and ≈3,205 residents aged 25-39.
Each Standout is a group of high-scoring hexes within a 1,200 m radius.
Factors: Median household income in the past 12 months (in 2022 inflation-adjusted dollars) (2022) and Male: 25 to 29 years (2020). 3,121 of 3,454 hexes in San Jose were eligible and ranked. Last computed September 30, 2026.
Homes built in 2010 or later as a share of all homes on the Amount map — ACS 2018–2022
Homes built in 2010 or later are most common around Metro/Airport (North San Jose), where 78.7% of homes were built in 2010 or later. North San Jose follows at 75.3%, and Village Oaks at 54.5%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows homes built in 2010 or later in every hex of San Jose on the Amount map, then groups the hexes with the most into the Standouts below.
Metro/Airport (North San Jose) ranks #1, with 78.7% of homes built in 2010 or later across 27 hexes (302 homes built in 2010 or later of 383). North San Jose ranks #2, with 75.3% across 21 hexes (539 homes built in 2010 or later of 716). Village Oaks ranks #3, with 54.5% across 37 hexes (2,347 homes built in 2010 or later of 4,304). Westwinds ranks #4, with 51.8% across 21 hexes (726 homes built in 2010 or later of 1,402). North Park (North San Jose) ranks #5, with 48.9% across 17 hexes (2,014 homes built in 2010 or later of 4,119).
Each Standout is a group of hexes within a 1,200 m radius.
Measured as homes built in 2010 or later (2022) on the Amount map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where do San Jose's large apartment buildings cluster?
Homes in buildings of 50 or more units on the Clusters map — ACS 2018–2022
Around SoFA and Buena Vista, homes in large buildings form a cluster the test confirms as genuinely busy; the pattern is not chance. 355 hexes across San Jose test as genuinely busy.
A two-sided test with a false-discovery cut; hexes at the edge of the data are not judged.
Full breakdown & sources
This answer tests every hex of San Jose for homes in large buildings against chance on the Clusters map, then groups the hexes with the most into the Standouts below. SoFA ranks #1: genuinely busy across 36 hexes. Buena Vista ranks #2: genuinely busy across 35 hexes. North San Jose ranks #3: genuinely busy across 34 hexes. Lochridge ranks #4: genuinely busy across 27 hexes. Oak Ridge ranks #5: genuinely busy across 26 hexes. Each Standout is a group of hexes within a 1,200 m radius.
Measured as homes in large buildings (2022) on the Clusters map; the Standouts are the hexes with the most. Last computed September 30, 2026.
Where are San Jose's nightlife neighborhoods with the best transit access?
Overlap score — mapped nightlife places ranked with transit stop density
In San Jose, the highest-ranking Standouts are St. James Park (Downtown Historic District), Shasta/Hanchett Park, and Santana Row. St. James Park (Downtown Historic District) leads with a score of 40.7/100 across 19 hexes, showing ≈42 bars & nightlife places nearby and ≈8 transit stops. Each Standout groups high-scoring hexes within a 1,200 m radius.
A shortlist by 2 factors, not a site recommendation.
How this answer was built
Bar and nightlife place density ranked alongside transit stop density, both high. Getting home is part of a night out, so concentrations of places with strong transit are a different proposition from isolated ones.
Measure
Direction
Importance
Why it’s here
bar and nightlife
More is better
60%
Count of all mapped bar and nightlife places in the hex.
transit stop count
More is better
40%
Count of transit stops reachable from the hex.
What this can’t tell you
Stop presence is not late-night service — the data carries no operating hours for either the places or the transit, so a hex served only by a daytime route ranks the same as one on a night line.
Try changing it
· Add pedestrian street length to favor walkable concentrations of places.
· Swap nightlife for eat-and-drink places to widen it to the whole evening economy.
All of these are adjustable on the San Jose map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Jose based on bars and nightlife (more is better, importance 60%) and transit stop count (more is better, importance 40%), then groups the top-scoring hexes into the Standouts below.
St. James Park (Downtown Historic District) ranks #1 with a score of 40.7/100 across 19 hexes, showing ≈42 bars & nightlife places nearby and ≈8 transit stops. Shasta/Hanchett Park ranks #2 with a score of 13.2/100 across 27 hexes, showing ≈3 bars & nightlife places nearby and ≈7 transit stops. Santana Row ranks #3 with a score of 12.3/100 across 29 hexes, showing ≈13 bars & nightlife places nearby and ≈0 transit stops. Norman Y. Mineta San José International Airport ranks #4 with a score of 15.7/100 across 19 hexes, showing ≈11 bars & nightlife places nearby and ≈0 transit stops. Bella Villagio ranks #5 with a score of 6.5/100 across 36 hexes, showing ≈4 bars & nightlife places nearby and ≈0 transit stops.
Each Standout is a group of high-scoring hexes within a 1,200 m radius.
Factors: bar and nightlife and transit stop count. 3,112 of 3,454 hexes in San Jose were eligible and ranked. Last computed September 30, 2026.
Every answer reads San Jose hex by hex on one of the map types below, then groups the hexes at the end it asks about into Standouts. Sources: US Census 2020 (NHGIS).
Score — Each factor ranks every hex from 0 to 100 against the rest of the city; the Score adds them by importance, and a hex with no data for a factor is scored on the factors it has.
Amount — The Amount map shows one measure in every hex, as a total, per 1 000 residents, per km² or as a share of its category; a Standout pools the hexes inside its circle.
Variety — The Variety map scores how mixed a set of kinds is in each hex, from one kind only to an even mix; a Standout groups the most mixed third.
Fair share — The Fair share map divides each hex's rate by the whole city's rate, so 1× is exactly average; a Standout groups the hexes furthest from it on one side.
Missing — The Missing map applies the whole city's rate to each hex's residents to say how many there would be at that rate, and shows the difference in whole places.
Clusters — The Clusters map tests whether a hex and its neighbors hold more, or less, of a measure than chance would explain, with a correction for testing every hex at once.
Each hex is an H3 resolution 9 hexagon. Each Standout gathers hexes within 1.2 km of its center, and the 5 strongest are kept. Change the size on the map to widen or tighten them.
Hexes are only ranked where the thing being measured could actually exist, so a Less is better factor cannot present empty parkland as an opportunity. Shops, homes and offices need a building; transit stops, EV chargers and bike docks only need a street or path. A hex that already has some of the measure is always ranked.
Dating the numbers
The decennial census is a single-day count. Block-level age detail exists only for the census year; no official product updates it annually.
Places, buildings and transportation come from a dated Overture Maps release. A place record means the place is mapped, not that it is licensed, open, or of any particular size.
US Census 2020 (NHGIS) is a single vintage, so nothing here describes growth, decline or any change over time.
Counted as residents aged 25–39 on April 1, 2020, the US Census 2020 (NHGIS) reference date. Those residents are older now; census age bands are never rolled forward, because people move in, move away and die, and the published band cannot be re-aged without a full cohort model.
How far each answer can be pushed
Each question is labeled with a tier. The tier caps what the answer may claim, whatever the numbers say.
T4 — This is a ranking of hexes, not a measurement of people. The factors it combines are counted in different universes — the data contains no table crossing them — so a high rank means both factors rank high in the same hex, not that they describe the same residents.
Builds MapBees's location-intelligence pipeline end to end — census and Overture Maps ingestion, H3 hex scoring, and the map interface — and writes the methodology behind every number on the site.
