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 Diego 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 Diego and how the map type you pick changes what you can honestly say.
Where should you open a new coffee shop in San Diego?
coffee shop demand-and-competition score — resident counts and walkable streets ranked against existing coffee shop presence
In San Diego, the highest-ranking Standouts are Mira Mesa (San Diego County), Nestor and Shelltown. Mira Mesa (San Diego County) leads with a score of 70.9/100 across 37 hexes, where the data shows ≈0 coffee shops nearby, ≈0 km of walkable streets and ≈21,802 residents (total). Each Standout is a group of high-scoring hexes within a 1,200 m radius. On the Missing map, Pacific Beach (San Diego County) and Linda Vista are short of coffee shops for the people who live there within a 10-minute walk (about 1 and 2 short).
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 Diego 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 Diego on coffee shop competition (less is better, importance 45%), pedestrian length m (more is better, importance 25%) and Total (more is better, importance 30%), then groups the top-scoring hexes into the Standouts below.
Mira Mesa (San Diego County) ranks #1 with a score of 70.9/100 across 37 hexes: ≈0 coffee shops nearby, ≈0 km of walkable streets and ≈21,802 residents (total). Nestor ranks #2 with a score of 69.7/100 across 37 hexes: ≈0 coffee shops nearby, ≈0 km of walkable streets and ≈21,159 residents (total). Shelltown ranks #3 with a score of 69.3/100 across 37 hexes: ≈1 coffee shop nearby, ≈0 km of walkable streets and ≈22,167 residents (total). Azalea Park ranks #4 with a score of 69.2/100 across 37 hexes: ≈1 coffee shop nearby, ≈0 km of walkable streets and ≈22,814 residents (total). Otay Mesa West ranks #5 with a score of 69/100 across 37 hexes: ≈1 coffee shop nearby, ≈0 km of walkable streets and ≈19,985 residents (total).
Each Standout is a group of high-scoring hexes within a 1,200 m radius.
Factors: coffee shop competition, pedestrian length m and Total (2020). 5,560 of 6,703 hexes in San Diego were eligible and ranked. Last computed September 30, 2026.
Which are the most walkable neighborhoods of San Diego?
Walkability score — pedestrian street length ranked with transit stop density
In San Diego, the top Standouts are Core-Columbia, Old Town, and Logan Heights (San Diego County). Core-Columbia, with 22 hexes, scores 10.9/100, showing ≈0 km of walkable streets and ≈11 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 Diego map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Diego. The Score is based on pedestrian length in meters, where more is better with an importance of 60%, and transit stop count, where more is better with an importance of 40%. The top-scoring hexes are then grouped into Standouts.
Core-Columbia ranks #1 with a score of 10.9/100 across 22 hexes, showing ≈0 km of walkable streets and ≈11 transit stops. Old Town ranks #2 with a score of 3.3/100 across 36 hexes, showing ≈0 km of walkable streets and ≈5 transit stops. Logan Heights (San Diego County) ranks #3 with a score of 3.2/100 across 37 hexes, showing ≈0 km of walkable streets and ≈4 transit stops. Mission Valley East (San Diego County) ranks #4 with a score of 3.3/100 across 36 hexes, showing ≈0 km of walkable streets and ≈3 transit stops. Mission Valley ranks #5 with a score of 2.2/100 across 37 hexes, showing ≈0 km of walkable streets and ≈2 transit stops.
Factors: pedestrian length m and transit stop count. 5,561 of 6,703 hexes in San Diego 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 Core-Columbia: 3.8 per km² (9 transit stops across 2.4 km²), against a San Diego figure of 0 per km². Old Town and East Village follow at 1.4 per km² and 1.4 per km². On the Clusters map, the transit stops around Marina (Core-Columbia) and Midway District form a cluster the test confirms.
Core-Columbia as a whole has 3 transit stops across 1.1 km², 2.8 per km², 0.0× San Diego's figure.
East Village as a whole has 3 transit stops across 1.6 km², 1.9 per km², 0.0× San Diego's figure.
San Ysidro as a whole has 1 transit stops across 7.6 km², 0.1 per km², 0.0× San Diego's figure.
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 Diego on the Amount map, then groups the hexes with the most into the Standouts below. Core-Columbia ranks #1: 3.8 per km² across 20 hexes (9 transit stops across 2.4 km²). Old Town ranks #2: 1.4 per km² across 30 hexes (5 transit stops across 3.6 km²). East Village ranks #3: 1.4 per km² across 37 hexes (6 transit stops across 4.4 km²). Border ranks #4: 0.9 per km² across 9 hexes (1 transit stops across 1.1 km²). Qualcomm ranks #5: 0.7 per km² across 35 hexes (3 transit stops across 4.2 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 are most concentrated around Colina Park, with 8,905.3 per km² (39,469 residents across 4.4 km²), compared to San Diego's 1,722.3 per km². East Village and East San Diego also show high concentrations, at 8,788.9 per km² and 7,313.7 per km² respectively.
East Village as a whole has 17,191 residents across 1.6 km², 11,040.3 per km², 6.4× San Diego'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 on the Amount map, then groups the hexes with the most into the Standouts below.
Colina Park ranks #1 for residents, with 8,905.3 per km² across 37 hexes (39,469 residents across 4.4 km²). East Village ranks #2, with 8,788.9 per km² across 37 hexes (38,948 residents across 4.4 km²). East San Diego ranks #3, with 7,313.7 per km² across 37 hexes (32,409 residents across 4.4 km²). University City ranks #4, with 7,165 per km² across 37 hexes (31,702 residents across 4.4 km²). Egyptian Quarter ranks #5, with 6,304.9 per km² across 37 hexes (27,935 residents across 4.4 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 Diego?
Household income level on the Amount map — ACS 2018–2022, a five-year estimate averaged over block groups
Rancho Encantada (San Diego County) shows the highest household income level at $250,001, compared to San Diego's $110,006. Carmel Valley (San Diego County) and Carmel Country Highlands (San Diego County) follow with $249,153 and $247,384, 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 household income level on the Amount map for every hex in San Diego, then groups the hexes with the most into the Standouts below.
Rancho Encantada (San Diego County) ranks #1, with a household income level of $250,001 across 17 hexes. Carmel Valley (San Diego County) ranks #2, with $249,153 across 33 hexes. Carmel Country Highlands (San Diego County) ranks #3, with $247,384 across 21 hexes. Torrey Pines (San Diego County) ranks #4, with $247,235 across 17 hexes. Black Mountain Ranch (San Diego County) ranks #5, with $245,662 across 32 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 peaks around Soledad South at $3,501, compared to a San Diego figure of $2,291. Rancho Peñasquitos and Del Mar Highlands follow, also at $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 gross rent level in every hex of San Diego on the Amount map, then groups the hexes with the most into the Standouts below.
Soledad South ranks #1, with a gross rent level of $3,501 across 36 hexes. Rancho Peñasquitos ranks #2, with a gross rent level of $3,501 across 30 hexes. Del Mar Highlands ranks #3, with a gross rent level of $3,501 across 32 hexes. Santaluz ranks #4, with a gross rent level of $3,501 across 21 hexes. Carmel Country Highlands ranks #5, with a gross rent level of $3,501 across 18 hexes.
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 Torrey Pines: $2,000,001 (2,000,001 home value level), against a city figure of $811,001. Carmel Valley and Bird Rock follow at $1,990,376 and $1,986,408. Explore the Amount map to see home value level in every hex.
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 on the Amount map, then groups the hexes with the most into the Standouts below.
Torrey Pines ranks #1, with $2,000,001 across 19 hexes (2,000,001 home value level). Carmel Valley ranks #2, with $1,990,376 across 29 hexes (1,990,376 home value level). Bird Rock ranks #3, with $1,986,408 across 36 hexes (1,986,408 home value level). Black Mountain Ranch ranks #4, with $1,950,527 across 32 hexes (1,950,527 home value level). Del Mar Heights ranks #5, with $1,933,208 across 16 hexes (1,933,208 home value level).
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 Diego 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 Diego is around Ridgeview - Webster: very mixed, with no single race and Hispanic-origin group above 35%. Linda Vista (south-west) and Redwood Village - Rolando Park follow, with no single race and Hispanic-origin group above 36% and 36%.
Standout
Neighborhood
How mixed
Top kinds
Map
#1 Ridgeview - Webster
San Diego County
very mixed
Hispanic or Latino residents 35%, Asian residents, not Hispanic 30%, Black or African American residents, not Hispanic 16%
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 Diego on the Variety map, then groups the hexes with the most into the Standouts below.
Ridgeview - Webster ranks #1 for variety: very mixed across 37 hexes. Its largest groups are Hispanic or Latino residents at 35%, Asian residents, not Hispanic at 30%, and Black or African American residents, not Hispanic at 16%. Linda Vista (south-west) ranks #2: very mixed across 37 hexes. Its largest groups are White residents, not Hispanic at 36%, Hispanic or Latino residents at 28%, and Asian residents, not Hispanic at 19%. This Standout spans Linda Vista. Redwood Village - Rolando Park ranks #3: very mixed across 35 hexes. Its largest groups are Hispanic or Latino residents at 36%, White residents, not Hispanic at 31%, and Asian residents, not Hispanic at 15%.
depot ranks #4: very mixed across 34 hexes. Its largest groups are Asian residents, not Hispanic at 44%, White residents, not Hispanic at 24%, and Hispanic or Latino residents at 21%. Linda Vista (south-west 2) ranks #5: very mixed across 33 hexes. Its largest groups are White residents, not Hispanic at 41%, Hispanic or Latino residents at 25%, and Asian residents, not Hispanic at 23%. This Standout also spans Linda Vista. Each Standout is a group of hexes within a 1,200 meter 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 Diego is around Hillcrest: very mixed, with no single cuisine above 28%. El Cerrito and University City follow, with no single cuisine above 30% and 32%.
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 Diego, read within a 10-minute walk, on the Variety map. The hexes with the most varied mixes are grouped into the Standouts below.
Hillcrest ranks #1: very mixed across 37 hexes (Mexican 28%, Japanese 28%, Italian 25%). El Cerrito ranks #2: very mixed across 36 hexes (Italian 30%, Mexican 21%, Japanese 21%). University City ranks #3: very mixed across 36 hexes (Italian 32%, Japanese 30%, Mexican 18%). North Mount Estates ranks #4: very mixed across 33 hexes (Italian 28%, Chinese 28%, Mexican 22%). North Park ranks #5: very mixed across 33 hexes (Mexican 40%, Italian 24%, Japanese 13%).
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 Diego — and is it a real cluster?
Bars and nightlife places on the Clusters map — Overture Maps
Around East Village and North Park, bars and nightlife places form a cluster the test confirms as genuinely busy; the pattern is not chance. 124 hexes across San Diego 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 Diego for bars and nightlife places against chance on the Clusters map, then groups the hexes with the most into the Standouts below.
East Village ranks #1: genuinely busy across 30 hexes. North Park ranks #2: genuinely busy across 28 hexes. Hillcrest (San Diego County) ranks #3: genuinely busy across 25 hexes. Barrio Logan (East Village) ranks #4: genuinely busy across 9 hexes. Pacific Beach (San Diego County) ranks #5: genuinely busy across 8 hexes.
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 Diego?
Mapped grocery stores within a 10-minute walk against the number San Diego's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
This answer shows that within a 10-minute walk of Paradise Hills (San Diego County), grocery stores fall short of San Diego's rate by about 1 (0 mapped, 1 expected). University City (San Diego County) and Miramar Ranch North (San Diego County) are short by about 2 and 1, respectively.
One hex is too small to show a shortfall: at the San Diego 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 Diego is short of at the city's rate, read within a 10-minute walk, on the Missing map, then groups the hexes with the least into the Standouts below. Paradise Hills (San Diego County) ranks #1: short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). University City (San Diego County) ranks #2: short by about 2 across 36 hexes (0 mapped, 2 expected within a 10-minute walk of its top hex). Miramar Ranch North (San Diego County) ranks #3: short by about 1 across 36 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Valencia Park (San Diego County) ranks #4: short by about 1 across 35 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Rancho Peñasquitos (San Diego County) 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)
This answer shows renter-occupied homes. University City (north-west) has hexes with 100% renter-occupied homes, representing 47 of 47 homes. Miramar (San Diego County) follows with 99.2%, and University City (north-west 2) shows 94.5% renter-occupied homes.
Standout
Neighborhood
Value
Count behind it
Map
#1 University City (north-west)also spans University City
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-occupied homes in every hex on the Amount map, then groups the hexes with the most into the Standouts below.
University City (north-west) ranks #1, showing 100% across 20 hexes (47 renter-occupied homes of 47). This Standout spans University City. Miramar (San Diego County) ranks #2, showing 99.2% across 15 hexes (210 renter-occupied homes of 212). University City (north-west 2) ranks #3, showing 94.5% across 32 hexes (487 renter-occupied homes of 515). This Standout spans University City. Tierrasanta (San Diego County) ranks #4, showing 94.3% across 36 hexes (1,982 renter-occupied homes of 2,102). Ocean Crest (San Diego County) ranks #5, showing 93.2% across 26 hexes (319 renter-occupied homes of 343).
Each Standout is a group of hexes within a 1,200 meter 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 Diego have the fewest grocery stores?
Coverage gap score — ACS 2018-2022 residents below the poverty level ranked against mapped grocery stores
In San Diego, the highest-ranking Standouts are Mid-City, Lincoln Park, and University City. Mid-City leads with a score of 93.1/100 across 37 hexes, showing ≈2 grocery stores nearby and ≈5,638 residents with 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 Diego map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Diego based on grocery store competition, where less is better (importance 45%), and Income in the past 12 months below poverty level, where more is better (importance 55%). The top-scoring hexes are then grouped into the Standouts below.
Mid-City ranks #1 with a score of 93.1/100 across 37 hexes, showing ≈2 grocery stores nearby and ≈5,638 residents with income in the past 12 months below poverty level. Lincoln Park ranks #2 with a score of 92/100 across 37 hexes, showing ≈4 grocery stores nearby and ≈4,021 residents with income in the past 12 months below poverty level. University City ranks #3 with a score of 91.6/100 across 37 hexes, showing ≈2 grocery stores nearby and ≈7,813 residents with income in the past 12 months below poverty level. Fairmont Village ranks #4 with a score of 90.8/100 across 37 hexes, showing ≈5 grocery stores nearby and ≈5,061 residents with income in the past 12 months below poverty level. Nestor ranks #5 with a score of 90.7/100 across 37 hexes, showing ≈2 grocery stores nearby and ≈3,524 residents with 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). 5,625 of 6,703 hexes in San Diego were eligible and ranked. Last computed September 30, 2026.
Where is the share of households earning $200,000 or more far above the San Diego average?
Households earning $200,000 or more as a share of all households, against the San Diego average on the Fair share map — ACS 2018–2022
Around Carmel Valley, households earning $200,000 or more run at 2.3× the San Diego average (46.3% here). Torrey Hills and Del Mar Heights sit at 2.4× and 2.3×.
Compared with the whole-city figure; a per-hex census figure is an estimate for that hex.
Full breakdown & sources
This answer compares households earning $200,000 or more in every hex of San Diego with the city average on the Fair share map, then groups the hexes with the most into the Standouts below.
Carmel Valley ranks #1, showing 2.3× the average across 36 hexes. Torrey Hills ranks #2, showing 2.4× the average across 36 hexes. Del Mar Heights ranks #3, showing 2.3× the average across 33 hexes. Torrey Highlands ranks #4, showing 2.2× the average across 37 hexes. Sunset Cliffs ranks #5, showing 2.0× the average across 38 hexes.
Each Standout is a group of hexes within a 1,200 m 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 Diego neighborhoods have more than their fair share of coffee shops?
Mapped coffee shops per resident against the San Diego average on the Fair share map — Overture Maps and US Census 2020 (NHGIS)
Around East Village, coffee shops are 4.2× the San Diego average, with 47 coffee shops for 21,905 residents. Core-Columbia has 13.5× the average, and Hillcrest has 7.0×. These are among the top Standouts for coffee shops.
East Village as a whole has 21 coffee shops for 17,191 residents, 2.5× San Diego's rate.
Core-Columbia as a whole has 33 coffee shops for 10,350 residents, 6.5× San Diego's rate.
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 Diego with the city average on the Fair share map, then groups the hexes with the most into the Standouts below.
East Village ranks #1, with coffee shops at 4.2× the average across 21 hexes (47 coffee shops for 21,905 residents). Core-Columbia ranks #2, with 13.5× the average across 5 hexes (30 coffee shops for 4,603 residents). Hillcrest ranks #3, with 7.0× the average across 13 hexes (30 coffee shops for 8,849 residents).
North Park ranks #4, with 7.7× the average across 9 hexes (28 coffee shops for 7,594 residents). Pacific Beach ranks #5, with 7.3× the average across 12 hexes (23 coffee shops for 6,441 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 Diego, and is it a real cluster?
Mapped restaurants on the Clusters map — Overture Maps
Around North Park and Marina (Core-Columbia), restaurants form a cluster the test confirms as genuinely busy; the pattern is not chance. 334 hexes across San Diego 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 Diego for restaurants against chance on the Clusters map, then groups the hexes with the most into the Standouts below.
North Park ranks #1: genuinely busy across 35 hexes. Marina (Core-Columbia) ranks #2: genuinely busy across 31 hexes. Hillcrest (San Diego County) ranks #3: genuinely busy across 28 hexes. Mission Valley West (San Diego County) ranks #4: genuinely busy across 24 hexes. Loma Portal ranks #5: genuinely busy across 23 hexes.
Each Standout is a group of hexes within a 1,200 m 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 Diego?
Residents aged 25–39 as a share of all residents on the Amount map — US Census 2020 (NHGIS), counted on April 1, 2020
The map shows residents aged 25–39, with Miramar (west) having the highest concentration at 22.4% (12 residents aged 25–39 of 54). Miramar (north-west) follows at 22.2%, and Kearny Mesa at 18.5%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer displays residents aged 25–39 on the Amount map for every hex in San Diego. The Standouts below group the hexes with the most residents aged 25–39.
Miramar (west) ranks #1, showing 22.4% across 7 hexes, representing 12 residents aged 25–39 out of 54. This Standout spans Miramar. Miramar (north-west) ranks #2, with 22.2% across 9 hexes, representing 30 residents aged 25–39 out of 133, also spanning Miramar. Kearny Mesa ranks #3, showing 18.5% across 30 hexes, or 1,459 residents aged 25–39 out of 7,894. Pacific Beach ranks #4, with 17.1% across 28 hexes, representing 6,244 residents aged 25–39 out of 36,469. Otay Mesa ranks #5, showing 16.8% across 25 hexes, or 4 residents aged 25–39 out of 24.
Each Standout is a group of hexes within a 1,200 meter 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 Diego?
Mapped pharmacies within a 10-minute walk against the number San Diego's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
Within a 10-minute walk of Bay Terraces, pharmacies are about 1 short of San Diego's rate, with 0 mapped and 1 expected. Nestor and Valencia Park also show a shortfall of about 1 pharmacy each, based on the city's rate.
One hex is too small to show a shortfall: at the San Diego 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 is short of at San Diego's rate, read within a 10-minute walk, on the Missing map. The Standouts below group the hexes with the largest shortfalls.
Bay Terraces ranks #1, with a shortfall of about 1 pharmacy across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Nestor ranks #2, also about 1 short across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Valencia Park ranks #3, about 1 short across 36 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). North Bay Terraces ranks #4, about 1 short across 36 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Swan Canyon ranks #5, about 1 short 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 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 peak around Midway District (San Diego County): 9.8% (562 people living alone of 5,732). East Village and Kearny Mesa follow at 8.9% and 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 people living alone in every hex of San Diego on the Amount map, then groups the hexes with the most into the Standouts below.
Midway District (San Diego County) ranks #1 with 9.8% across 18 hexes (562 people living alone of 5,732). East Village ranks #2 with 8.9% across 37 hexes (8,320 people living alone of 93,483). Kearny Mesa ranks #3 with 8% across 18 hexes (58 people living alone of 720). Banker's Hill (Little Italy) ranks #4 with 7.9% across 26 hexes (3,420 people living alone of 43,287). Egyptian Quarter ranks #5 with 7.5% across 36 hexes (5,310 people living alone of 70,709).
Each Standout is a group of hexes within a 1,200 m 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 Diego is around Barrio Logan (East Village): very mixed, with no single nightlife kind above 24%. University Heights (San Diego County) and Hillcrest (San Diego County) follow, with no single nightlife kind above 27% and 30%.
One hex is too small to show a mix: where any are found, only one kind is there in 71 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 Diego, read within a 10-minute walk, on the Variety map, then groups the hexes with the most into the Standouts below.
Barrio Logan (East Village) ranks #1: very mixed across 37 hexes (Dance Club 24%, Lounge 24%, Cocktail Bar 23%). University Heights (San Diego County) ranks #2: very mixed across 37 hexes (Cocktail Bar 27%, Beer Bar 27%, Lounge 20%). Hillcrest (San Diego County) ranks #3: very mixed across 32 hexes (Wine Bar 30%, Cocktail Bar 22%, Dance Club 22%). Old Town ranks #4: very mixed across 30 hexes (Dance Club 40%, Pub 20%, Cocktail Bar 20%). Little Italy ranks #5: very mixed across 27 hexes (Wine Bar 30%, Cocktail Bar 25%, Pub 20%). It spans Core-Columbia.
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 Diego 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 Diego average on the Fair share map — ACS 2018–2022
Around Tierrasanta, married couples with children run at 1.9× the San Diego average (14.8% here). Loma Portal and Black Mountain Ranch sit at 1.6× and 1.4×.
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 Diego with the city average on the Fair share map, then groups the hexes with the most into the Standouts below. Tierrasanta ranks #1, showing 1.9× the average across 27 hexes. Loma Portal ranks #2, showing 1.6× the average across 23 hexes. Black Mountain Ranch ranks #3, showing 1.4× the average across 29 hexes. Miramar Ranch North ranks #4, showing 1.4× the average across 32 hexes. Carmel Valley ranks #5, showing 1.3× the average across 30 hexes. Each Standout is a group of hexes within a 1,200 m 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
Kearny Mesa (San Diego County) has the most children under five, with 6.9% across 6 hexes (2 children under five of 33). Sorrento Valley (San Diego County) ranks second with 5.8%, and Tierrasanta ranks third with 5.4%.
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 Diego on the Amount map, then groups the hexes with the most into the Standouts below.
Kearny Mesa (San Diego County) ranks #1, with 6.9% across 6 hexes (2 children under five of 33). Sorrento Valley (San Diego County) ranks #2, with 5.8% across 20 hexes (6 children under five of 99). Tierrasanta ranks #3, with 5.4% across 36 hexes (1,083 children under five of 20,094). Wooded Area (San Diego County) ranks #4, with 5.1% across 3 hexes (2 children under five of 39). San Pasqual (San Diego County) ranks #5, with 4.9% across 8 hexes (8 children under five of 161).
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 Diego's shops cluster, and is it a real cluster?
Mapped shops of every kind on the Clusters map — Overture Maps
Around North Park and East Village, shops form a cluster the test confirms as genuinely busy; the pattern is not chance. 322 hexes across San Diego 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 identifies hexes with a genuinely busy concentration of shops on the Clusters map. It then groups the hexes with the most shops into Standouts.
North Park ranks #1, with 32 hexes testing as genuinely busy. East Village ranks #2, with 30 genuinely busy hexes. Mission Valley West ranks #3, with 27 genuinely busy hexes. Midway District ranks #4, with 25 genuinely busy hexes. Hillcrest ranks #5, with 24 genuinely busy 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 Diego?
Mapped bank and credit-union branches within a 10-minute walk against the number San Diego's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
Within a 10-minute walk of La Jolla (The Muirlands), bank branches fall short of San Diego's rate by about 1 (0 mapped, 1 expected). Pacific Beach and Linda Vista are each short by about 1.
One hex is too small to show a shortfall: at the San Diego rate, less than half of one is expected in 97 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 Diego is short of at the city's rate, read within a 10-minute walk, on the Missing map. The Standouts below group the hexes with the largest shortfalls.
La Jolla (The Muirlands) ranks #1, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Pacific Beach ranks #2, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Linda Vista ranks #3, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Scripps Ranch ranks #4, short by about 1 across 37 hexes (0 mapped, 1 expected within a 10-minute walk of its top hex). Carmel Valley ranks #5, short by about 2 across 37 hexes (0 mapped, 2 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 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 Diego?
Renter households paying 30% or more of income in rent, as a share of renter households, on the Amount map — ACS 2018–2022
Renter households paying 30% or more of income in rent peaks around La Playa: 89.8% (136 renter households paying 30% or more of income in rent of 152). Carmel Valley and Ocean Crest follow at 82.9% and 79.5%.
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows renter households paying 30% or more of income in rent in every hex on the Amount map, then groups the hexes with the most into the Standouts below.
La Playa ranks #1, with 89.8% across 14 hexes (136 renter households paying 30% or more of income in rent of 152). Carmel Valley ranks #2, with 82.9% across 31 hexes (68 renter households paying 30% or more of income in rent of 82). Ocean Crest ranks #3, with 79.5% across 23 hexes (118 renter households paying 30% or more of income in rent of 149). Scripps Ranch ranks #4, with 77.9% across 20 hexes (130 renter households paying 30% or more of income in rent of 167). Tierrasanta ranks #5, with 77.5% across 28 hexes (1,056 renter households paying 30% or more of income in rent of 1,363).
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 Diego neighborhoods have more than their fair share of restaurants?
Mapped restaurants per resident against the San Diego average on the Fair share map — Overture Maps and US Census 2020 (NHGIS)
This answer shows that restaurants around Core-Columbia are at 16.7× the San Diego average, with 281 restaurants for 4,329 residents. Pacific Beach and La Jolla also show high concentrations, sitting at 10.8× and 15.3× the average, respectively.
Core-Columbia as a whole has 241 restaurants for 10,350 residents, 5.9× San Diego's rate.
East Village as a whole has 192 restaurants for 17,191 residents, 2.8× San Diego's rate.
Compared with the whole-city rate; a place record means it is mapped, not open or licensed.
Full breakdown & sources
This answer uses the Fair share map to compare restaurants in every hex of San Diego with the city average, then groups the hexes with the most restaurants into Standouts.
Core-Columbia ranks #1, showing 16.7× the average across 5 hexes, with 281 restaurants for 4,329 residents. Pacific Beach ranks #2, with 10.8× the average across 12 hexes, totaling 205 restaurants for 4,881 residents. La Jolla ranks #3, at 15.3× the average across 11 hexes, with 171 restaurants for 2,858 residents. Hillcrest ranks #4, at 4.1× the average across 15 hexes, with 189 restaurants for 11,876 residents. East Village ranks #5, showing 5.6× the average across 9 hexes, with 166 restaurants for 7,566 residents.
Each Standout is a group of hexes within a 1,200 meter 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 Rancho Bernardo (north) (San Diego County): 10.8% (1,069 residents aged 75 and over of 9,893). Rancho Bernardo (north 2) (San Diego County) and La Jolla follow at 10.7% and 8.3%.
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 Diego on the Amount map, then groups the hexes with the most into the Standouts below.
Rancho Bernardo (north) (San Diego County) ranks #1: 10.8% across 22 hexes (1,069 residents aged 75 and over of 9,893). It spans Rancho Bernardo. Rancho Bernardo (north 2) (San Diego County) ranks #2: 10.7% across 4 hexes (130 residents aged 75 and over of 1,211). It spans Rancho Bernardo. La Jolla ranks #3: 8.3% across 17 hexes (1,257 residents aged 75 and over of 15,194). Rancho Bernardo (north 3) (San Diego County) ranks #4: 7.9% across 34 hexes (1,428 residents aged 75 and over of 18,124). It spans Rancho Bernardo. La Jolla Shores (San Diego County) ranks #5: 6.9% across 24 hexes (707 residents aged 75 and over of 10,206).
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 around Black Mountain Ranch, where 97.6% of homes (185 of 189) are valued at $1 million or more. Pacific Highlands Ranch and Carmel Valley follow, with 96.4% and 95.5% of homes valued at $1 million or more, 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 homes valued at $1 million or more in every hex of San Diego on the Amount map, then groups the hexes with the most into the Standouts below.
Black Mountain Ranch ranks #1, with 97.6% of homes valued at $1 million or more across 32 hexes (185 of 189 homes). Pacific Highlands Ranch ranks #2, with 96.4% across 22 hexes (1,264 of 1,312 homes). Carmel Valley ranks #3, with 95.5% across 31 hexes (464 of 486 homes). Torrey Pines ranks #4, with 94.8% across 18 hexes (208 of 219 homes). Torrey Hills ranks #5, with 94.3% across 26 hexes (647 of 686 homes).
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 Diego average?
Residents below the poverty level as a share of residents with a determined poverty status, against the San Diego average on the Fair share map — ACS 2018–2022
On the Fair share map, you can see residents below the poverty level. Around Talmadge, this measure is 2.4× the San Diego average, with 5.2% of residents here. Mid-City shows 4.4× the average, and University City shows 3.5×.
Compared with the whole-city figure; a per-hex census figure is an estimate for that hex.
Full breakdown & sources
This answer shows residents below the poverty level in each hex, compared to the San Diego average on the Fair share map. The Standouts below group hexes with the highest measures.
Talmadge ranks #1, showing 2.4× the average across 34 hexes. Mid-City ranks #2, showing 4.4× the average across 21 hexes. University City ranks #3, showing 3.5× the average across 13 hexes. Core-Columbia ranks #4, showing 2.3× the average across 24 hexes. Mountain View ranks #5, showing 2.2× the average across 32 hexes.
Each Standout is a group of hexes within a 1,200 m 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.
Around East Village and Midway District (south-west) (San Diego County), hotels form a cluster the test confirms as genuinely busy; this pattern is not by chance. 117 hexes across San Diego 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 uses the Clusters map to test every hex in San Diego for hotels against chance. It then groups the hexes with the most hotels into the Standouts below.
East Village ranks #1, testing as genuinely busy across 34 hexes. Midway District (south-west) (San Diego County) ranks #2, testing as genuinely busy across 23 hexes, and spans Midway District. Mission Hills (San Diego County) ranks #3, testing as genuinely busy across 20 hexes. Midway District (south-west 2) (San Diego County) ranks #4, testing as genuinely busy across 14 hexes, and spans Midway District. Little Italy ranks #5, testing as genuinely busy across 6 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 Diego?
Mapped parks within a 10-minute walk against the number San Diego's rate predicts for the residents there, on the Missing map — Overture Maps and US Census 2020 (NHGIS)
Within a 10-minute walk of Little Saigon, parks fall short of San Diego's rate by about 4 (0 mapped, 4 expected). Valencia Park and Shelltown are also among the top Standouts for this measure.
One hex is too small to show a shortfall: at the San Diego rate, less than half of one is expected in 98 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 parks each hex of San Diego 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.
Little Saigon ranks #1, short by about 4 across 37 hexes (0 mapped, 4 expected within a 10-minute walk of its top hex). Valencia Park ranks #2, short by about 1 across 37 hexes (1 mapped, 2 expected within a 10-minute walk of its top hex). Shelltown ranks #3, short by about 4 across 37 hexes (0 mapped, 4 expected within a 10-minute walk of its top hex).
Paradise Hills ranks #4, short by about 2 across 37 hexes (0 mapped, 2 expected within a 10-minute walk of its top hex). Rancho Bernardo ranks #5, short by 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 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 are most common around East Village (south-west), with 83.7% of homes (6,113 of 7,303) in such buildings. University City (north-west) follows at 77%, and Core-Columbia at 75.7%.
Standout
Neighborhood
Value
Count behind it
Map
#1 East Village (south-west)also spans East Village
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 for every hex on the Amount map, then groups the hexes with the most into Standouts.
East Village (south-west) ranks #1, with 83.7% across 24 hexes (6,113 homes in buildings of 50 or more units of 7,303). University City (north-west) ranks #2, with 77% across 29 hexes (2,333 homes in buildings of 50 or more units of 3,030). Core-Columbia ranks #3, with 75.7% across 21 hexes (5,734 homes in buildings of 50 or more units of 7,578).
East Village (south-west 2) ranks #4, with 68.2% across 37 hexes (10,121 homes in buildings of 50 or more units of 14,844). University City (west) ranks #5, with 63.4% across 32 hexes (2,803 homes in buildings of 50 or more units of 4,421). 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
Within a 10-minute walk, the most varied mix of shop kinds in San Diego is around Castle: very mixed, with no single shop kind above 40%. Mid-City and Barrio Logan follow, with no single shop kind above 46% and 47%.
Standout
Neighborhood
How mixed
Top kinds
Map
#1 Castle
—
very mixed
Specialty Store 40%, Food And Beverage Store 37%, Fashion And Apparel Store 14%
One hex is too small to show a mix: where any are found, only one kind is there in 56 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 shop kinds are in every hex of San Diego, read within a 10-minute walk, on the Variety map, then groups the hexes with the most into the Standouts below.
Castle ranks #1: very mixed across 37 hexes (Specialty Store 40%, Food And Beverage Store 37%, Fashion And Apparel Store 14%). Mid-City ranks #2: very mixed across 37 hexes (Specialty Store 46%, Food And Beverage Store 31%, Fashion And Apparel Store 17%). Barrio Logan ranks #3: very mixed across 37 hexes (Specialty Store 47%, Food And Beverage Store 26%, Fashion And Apparel Store 20%). Marina ranks #4: very mixed across 37 hexes (Fashion And Apparel Store 43%, Specialty Store 41%, Food And Beverage Store 10%). North Park ranks #5: very mixed across 37 hexes (Specialty Store 57%, Food And Beverage Store 18%, Fashion And Apparel Store 13%).
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
The Amount map shows hexes with detached single-family homes. The highest concentration is in Tijuana River Valley (south), with 100% of its homes being detached single-family (21 of 21). Tijuana River Valley (south 2) also has 100%, and San Pasqual Valley has 99.5%.
Standout
Neighborhood
Value
Count behind it
Map
#1 Tijuana River Valley (south)also spans Tijuana River Valley
A per-hex census figure is an estimate for that hex; the source is US Census 2020 (NHGIS).
Full breakdown & sources
This answer shows detached single-family homes in every hex of San Diego on the Amount map, then groups the hexes with the most into the Standouts below. Tijuana River Valley (south) ranks #1, with 100% across 8 hexes (21 detached single-family homes of 21). It spans Tijuana River Valley. Tijuana River Valley (south 2) ranks #2, with 100% across 22 hexes (152 detached single-family homes of 152). It spans Tijuana River Valley. San Pasqual Valley ranks #3, with 99.5% across 20 hexes (60 detached single-family homes of 60). San Pasqual ranks #4, with 99.4% across 6 hexes (33 detached single-family homes of 33). Point Loma (Azure Vista) ranks #5, with 99% across 21 hexes (1,186 detached single-family homes of 1,198). 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 Diego's cultural scene densest against the city average?
Mapped arts and entertainment places per km² against the San Diego average on the Fair share map — Overture Maps
Around Balboa Park (south-west), arts and entertainment places appear at 23.1× the San Diego average. Core-Columbia and East Village show 81.2× and 23.3× the average, respectively. These are among the top Standouts for arts and entertainment places.
Core-Columbia as a whole has 93 arts and entertainment places across 1.1 km², 86.3 per km², 45.4× San Diego's figure.
East Village as a whole has 70 arts and entertainment places across 1.6 km², 45 per km², 23.7× San Diego's figure.
Compared with the whole-city rate; a place record means it is mapped, not open or licensed.
Full breakdown & sources
This answer highlights Standouts where arts and entertainment places appear most often. Balboa Park (south-west) ranks #1, showing 23.1× the average across 26 hexes, with 163 arts and entertainment places across 3.1 km². This Standout spans Balboa Park. Core-Columbia ranks #2, showing 81.2× the average across 4 hexes, with 88 arts and entertainment places across 0.5 km². East Village ranks #3, showing 23.3× the average across 13 hexes, with 82 arts and entertainment places across 1.6 km².
Midway District ranks #4, showing 17.9× the average across 13 hexes, with 63 arts and entertainment places across 1.6 km². Balboa Park (south-west 2) ranks #5, showing 13.8× the average across 16 hexes, with 60 arts and entertainment places across 1.9 km². This Standout also spans Balboa Park.
Each Standout is a group of hexes within a 1,200 m 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 Diego 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 Diego, the highest-ranking Standouts are Mira Mesa, Carmel Valley, and Pacific Beach. Mira Mesa leads with a score of 72/100 across 37 hexes, showing a median income of 135,396 and approximately 5,146 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 Diego map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Diego 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.
Mira Mesa ranks #1 with a score of 72/100 across 37 hexes, showing a median income of 135,396 and approximately 5,146 residents aged 25-39. Carmel Valley ranks #2 with a score of 71.8/100 across 37 hexes, showing a median income of 180,690 and approximately 3,071 residents aged 25-39. Pacific Beach ranks #3 with a score of 71.1/100 across 37 hexes, showing a median income of 136,324 and approximately 8,505 residents aged 25-39. Rancho Peñasquitos ranks #4 with a score of 69.7/100 across 37 hexes, showing a median income of 174,345 and approximately 1,768 residents aged 25-39. Miramar Ranch North ranks #5 with a score of 68.7/100 across 37 hexes, showing a median income of 194,344 and approximately 1,243 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). 5,631 of 6,703 hexes in San Diego 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 peak around Black Mountain Ranch (San Diego County): 86.8% (1,282 homes built in 2010 or later of 1,477). Rancho Encantada (San Diego County) and Scripps Ranch (San Diego County) follow at 71.6% and 71.6%.
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 Diego on the Amount map, then groups the hexes with the most into the Standouts below.
Black Mountain Ranch (San Diego County) ranks #1 with 86.8% across 30 hexes (1,282 homes built in 2010 or later of 1,477). Rancho Encantada (San Diego County) ranks #2 with 71.6% across 11 hexes (166 homes built in 2010 or later of 231). Scripps Ranch (San Diego County) ranks #3 with 71.6% across 6 hexes (22 homes built in 2010 or later of 31). San Diego County ranks #4 with 64.7% across 5 hexes (72 homes built in 2010 or later of 112). Otay Mesa ranks #5 with 55.1% across 33 hexes (52 homes built in 2010 or later of 95).
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 Diego's large apartment buildings cluster?
Homes in buildings of 50 or more units on the Clusters map — ACS 2018–2022
Around University City and Horton Plaza, homes in large buildings form a cluster the test confirms as genuinely busy; the pattern is not chance. 314 hexes across San Diego 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 Diego for homes in large buildings against chance on the Clusters map, then groups the hexes with the most into the Standouts below.
University City ranks #1: genuinely busy across 37 hexes. Horton Plaza ranks #2: genuinely busy across 37 hexes. Park West ranks #3: genuinely busy across 30 hexes. Mission Valley East ranks #4: genuinely busy across 27 hexes. El Cerrito ranks #5: genuinely busy across 27 hexes.
Each Standout is a group of hexes within a 1,200 meter 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 Diego's nightlife neighborhoods with the best transit access?
Overlap score — mapped nightlife places ranked with transit stop density
In San Diego, the highest-ranking Standouts are Core-Columbia, Banker's Hill, and North Park. Core-Columbia leads with a score of 42.8/100 across 37 hexes, where the data shows ≈108 bars & nightlife places nearby and ≈13 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
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 Diego map on the Free Tier.
Full breakdown & sources
This answer ranks every hex in San Diego on bar 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.
Core-Columbia ranks #1 with a score of 42.8/100 across 37 hexes: ≈108 bars & nightlife places nearby and ≈13 transit stops. Banker's Hill ranks #2 with a score of 19.4/100 across 35 hexes: ≈16 bars & nightlife places nearby and ≈1 transit stops. North Park ranks #3 with a score of 17.4/100 across 37 hexes: ≈19 bars & nightlife places nearby and ≈0 transit stops. Pacific Beach ranks #4 with a score of 18.8/100 across 31 hexes: ≈18 bars & nightlife places nearby and ≈0 transit stops. Liberty Station ranks #5 with a score of 14.7/100 across 37 hexes: ≈10 bars & nightlife places nearby and ≈4 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. 5,560 of 6,703 hexes in San Diego were eligible and ranked. Last computed September 30, 2026.
Every answer reads San Diego 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.
