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Los Angeles County, CA — Dentists Saturation

Name: Dentists density by ZIP code in Los Angeles County, CA
Creator: BizGapMap

How many dentists exist per person present — residents plus daytime workers — by ZIP code, compared with the U.S. average. Establishment data: Census ZBP 2023. Population: ACS 2024 5-year. 410 ZIP codes analyzed.

Includes: General & family dentists · Orthodontists · Oral surgeons · Other dental specialists. Counted together because official statistics use one 621210 code.

Measured density: High density — 1.62× the U.S. rate (between 1.62× and 1.64× once withheld ZIP cells are counted)

Why a range: Census does not publish a ZIP-by-industry count when that ZIP has 0–2 businesses. 154 ZIP cells in this county are withheld, 30 of them with residents. Each could hold 0, 1, or 2 businesses: counting them all as 0 gives the low end, counting them all as 2 gives the high end — the data cannot say where the truth sits. The density range uses only the populated cells, since ZIPs without residents are excluded from per-person rates. How ranges work

High density Los Angeles County dentists — 162–164% of the U.S. rate

6,388 dentists are counted in Los Angeles County — 5.4 per 10,000 people present (residents + daytime workers), 162% of the U.S. rate of 3.4.

On the comparable ZIP set (ZIPs with a published count in every year), the total has risen 9% between 2015 and 2023 (5,848 → 6,354). That set is smaller than today's county total. 2020–2021 were pandemic-distorted, and Census rounds counts, so small moves are within noise.

Measured supply density is highest in 90211 (Beverly Hills), 91436 (Encino), 90210 (Beverly Hills) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 90003 (Los Angeles), 90044 (Los Angeles), 90018 (Los Angeles).

BLS QCEW puts the latest county-wide count (2026 Q1) at 6,628 establishments, the freshest available signal.

Measured density: Los Angeles County sits at 162% of the U.S. rate for dentists. 30 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 162% and 164% of the U.S. rate. Why. The highest measured density is in 90211 and 91436; the lowest measured density is in 90003 and 90044.

This is a supply-side read: it counts existing dentists and the people present, not foot traffic, income, rent, or whether locals want more. Treat low density as a question to check, not an answer.

Dentists

6,388–6,696

published count; upper bound counts each withheld ZIP cell as 2 (154 cells) (2023)

Per 10,000 present

5.4

residents + daytime workers

U.S. average

3.4

per 10,000 present

County index

1.62×

vs. U.S.

Latest quarter (QCEW)

6,628

2026 Q1 — county total

Residents

9,801,306

286 ZIPs with data

Workers

3,924,098

jobs located in county

Is the area growing?

Population

9,757,179

Census PEP, July 1 2024

Change since 2020

−2.4%

−239,455 people

Net migration 2024

+271

international +100,250, domestic −99,979

Jobs located here

4,806,006

LODES 2022, +0.0% since 2019

Los Angeles County had an estimated 9,757,179 residents on July 1, 2024 — 2.4% fewer than in 2020 (−239,455). In the latest year it gained 25,342 people: births minus deaths +24,950, international migration +100,250, domestic migration −99,979. Components are published separately and may not sum exactly.

4,806,006 jobs were located in the county in 2022 (+0.0% since 2019), and 4,549,716 employed residents lived there (+0.0% since 2019). LODES counts wage and salary jobs covered by unemployment insurance plus federal jobs; it excludes the self-employed and military, and counts jobs rather than unique people. 2019→2022 spans the pandemic, so read it as one change, not a trend.

Population and migration say whether the customer base is growing. They do not say whether people want another business of this type. Definitions and limits → · Full county detail →

ZIP gaining residents

2015–19 → 2020–24

Change

90067 Los Angeles

+59.6%

90089 Los Angeles

+44.3%

91350 Santa Clarita

+21.6%

ZIP losing residents

2015–19 → 2020–24

Change

91330 Northridge

−22.9%

90212 Beverly Hills

−19.4%

90059 Los Angeles

−18.8%

ACS 5-year estimates for 2015–2019 and 2020–2024. Only ZIPs with at least 2,000 residents in both windows and a change larger than the survey margin of error (90%) are listed — small ZIPs move a lot on paper without a real signal.

Nonemployer businesses (no paid employees)

Nonemployer businesses

2,288

no paid employees (2024)

Receipts

$218.7M

published gross receipts

Receipts per business

$96K

gross, not profit

Census Nonemployer Statistics counts businesses with no paid employees — a separate universe from the employer establishments counted above; a business is in one or the other, never both. They are not storefronts by definition: many are home-based, mobile, or part-time.

We show them beside the density index, not inside it. In categories such as nail and beauty salons, child care, and pet care, one-person businesses can outnumber employer establishments, so the employer-only count understates how many businesses exist. That is not evidence of higher demand.

Receipts are gross revenue reported for these businesses — not profit, and not the size of the local market. Census publishes this only at county level, so it is not shown on the ZIP map. See methodology.

Saturation map

Each ZIP area is shaded by its density of this business type per person present (residents + workers) vs. the U.S. average. Click any ZIP to zoom to its boundary, see its numbers, and switch to aerial imagery. Individual mapped shops appear as dots at street level — Show locations zooms you in to them (scroll or double-click to zoom).

Basemap:

Under 50% 50–100% 100–150% 150–250% 250%+ 0–2 (not published) / no data ZIP total (dot size) Mapped shop (OpenStreetMap, street level)

Map data © OpenStreetMap contributors, tiles by OpenFreeMap.

White dots are ZIP totals from the official Census count — the bigger the dot, the more dentists in that ZIP. They are aggregated, not individual shops. Turquoise dots are individual locations mapped in OpenStreetMap, shown only at street level; they are crowd-sourced and indicative, may be incomplete, and do not equal the official counts. Only the official ZIP totals feed the saturation index.

Market trend — up 9% since 2015

Number of dentists in Los Angeles County across 2015–2023, on a consistent set of ZIP codes present in every year — so changes are real, not ZIP-boundary artifacts. 2015/2018 are pre-pandemic baselines; 2020/2021 are COVID-distorted.

5,848

2015

6,056

2018

6,139

2020

6,192

2021

6,312

2022

6,354

2023

Highest measured density

ZIP

vs. U.S. average

Index

90211 Beverly Hills

1439%

91436 Encino

1233%

90210 Beverly Hills

908%

90212 Beverly Hills

838%

90505 Torrance

804%

91364 Woodland Hills

644%

91207 Glendale

569%

91403 Sherman Oaks

530%

91202 Glendale

524%

90025 Los Angeles

508%

91356 Tarzana

495%

91101 Pasadena

474%

91011 La Canada Flintridge

456%

91020 Montrose

435%

91324 Northridge

429%

Lowest measured density

ZIP

vs. U.S. average

Index

90003 Los Angeles

12%

90044 Los Angeles

15%

90018 Los Angeles

17%

90047 Los Angeles

22%

90001 Los Angeles

25%

90032 Los Angeles

25%

90011 Los Angeles

26%

90220 Compton

26%

90043 Los Angeles

27%

90810 Long Beach

28%

90063 Los Angeles

30%

91384 Castaic

32%

90037 Los Angeles

35%

90068 Los Angeles

35%

93535 Lancaster

36%

Low measured density is not evidence of opportunity. A ZIP with few dentists may simply lack foot traffic, retail space, or demand. We rank only residential and mixed ZIPs here; employment hubs and visitor destinations are listed separately below. ZIPs where Census did not publish a count (0–2 businesses) are not ranked: they may be the least served of all, but the data cannot tell 0 from 1 or 2. Verify those locally.

Employment hubs & destinations

These ZIPs have far more workers (or visitors) than residents, so their counts are driven by daytime and visitor demand — not a place to read "shortage" from resident numbers alone.

ZIP	Neighborhood	Type	Residents	Workers	Dentists	Index
90010	Los Angeles	Employment hub	4,850	27,890	42	667%
90401	Santa Monica	Employment hub	8,101	28,887	26	344%
90067	Los Angeles	Destination	3,875	38,983	24	307%
91105	Pasadena	Employment hub	12,531	26,124	17	198%
90248	Gardena	Employment hub	11,235	32,047	8	88%
90021	Los Angeles	Employment hub	2,897	22,949	4	83%
90245	El Segundo	Employment hub	16,769	80,838	13	68%
90040	Los Angeles	Employment hub	11,430	43,979	3	27%
90670	Santa Fe Springs	Employment hub	17,851	58,770	4	25%
90058	Los Angeles	Destination	3,585	39,384	0–2	—

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Dentists	Per 10k	Index	Status
90211	Beverly Hills	9,120	12,038	73	48.2	1439%	Very high density
91436	Encino	15,969	17,909	103	41.3	1233%	Very high density
90210	Beverly Hills	19,004	32,353	107	30.4	908%	Very high density
90212	Beverly Hills	10,728	15,564	52	28.1	838%	Very high density
90505	Torrance	35,148	31,411	137	26.9	804%	Very high density
90010	Los Angeles	4,850	27,890	42	22.3	667%	Very high density
91364	Woodland Hills	27,748	14,947	76	21.6	644%	Very high density
91207	Glendale	10,438	1,133	21	19.1	569%	Very high density
91403	Sherman Oaks	25,793	18,223	62	17.8	530%	Very high density
91202	Glendale	22,504	3,942	43	17.6	524%	Very high density
90025	Los Angeles	46,508	37,310	111	17.0	508%	Very high density
91356	Tarzana	30,942	12,944	62	16.6	495%	Very high density
91101	Pasadena	21,165	26,920	55	15.9	474%	Very high density
91011	La Canada Flintridge	19,935	5,890	35	15.3	456%	Very high density
91020	Montrose	7,532	2,774	13	14.6	435%	Very high density
91324	Northridge	30,699	17,810	57	14.4	429%	Very high density
91776	San Gabriel	36,952	10,977	59	13.9	415%	Very high density
90701	Artesia	15,889	7,209	27	13.9	413%	Very high density
91007	Arcadia	33,029	13,715	55	13.8	411%	Very high density
90049	Los Angeles	37,122	19,035	64	13.7	409%	Very high density
91316	Encino	29,491	10,139	47	13.6	406%	Very high density
91723	Covina	17,733	8,945	30	13.5	403%	Very high density
91203	Glendale	16,856	23,231	38	13.3	398%	Very high density
90069	West Hollywood	20,961	25,607	45	13.3	398%	Very high density
91205	Glendale	34,254	7,008	50	13.2	395%	Very high density
90293	Playa Del Rey	12,655	1,490	17	12.7	379%	Very high density
91355	Valencia	29,123	55,015	71	12.5	374%	Very high density
91208	Glendale	15,969	3,553	22	12.4	370%	Very high density
90024	Los Angeles	51,675	28,946	82	12.4	370%	Very high density
90064	Los Angeles	26,642	42,145	59	12.4	369%	Very high density
90048	Los Angeles	21,476	38,255	50	12.3	367%	Very high density
91506	Burbank	18,612	9,743	28	11.9	356%	Very high density
91006	Arcadia	31,582	14,337	46	11.9	354%	Very high density
90035	Los Angeles	29,000	11,221	41	11.8	354%	Very high density
90403	Santa Monica	23,867	10,765	34	11.6	347%	Very high density
90401	Santa Monica	8,101	28,887	26	11.5	344%	Very high density
91607	Valley Village	31,890	6,062	39	11.2	333%	Very high density
90274	Palos Verdes Peninsula	25,059	7,499	32	11.1	331%	Very high density
91030	South Pasadena	26,068	7,315	33	11.1	331%	Very high density
90292	Marina Del Rey	23,982	15,926	35	11.0	327%	Very high density
90404	Santa Monica	22,978	32,963	43	10.9	325%	Very high density
91602	North Hollywood	20,957	4,426	25	10.8	322%	Very high density
91106	Pasadena	23,910	6,639	29	10.7	318%	Very high density
91501	Burbank	19,016	1,431	21	10.6	318%	Very high density
91502	Burbank	11,652	23,090	24	10.3	309%	Very high density
90067	Los Angeles	3,875	38,983	24	10.3	307%	Very high density
90266	Manhattan Beach	34,210	17,639	44	10.2	305%	Very high density
90240	Downey	24,853	5,318	28	10.2	304%	Very high density
90603	Whittier	21,118	5,612	24	10.0	299%	Very high density
91765	Diamond Bar	44,502	11,381	50	10.0	297%	Very high density
91754	Monterey Park	32,248	14,908	39	9.8	293%	Very high density
91741	Glendora	26,071	5,265	28	9.8	291%	Very high density
91790	West Covina	44,710	15,653	50	9.5	284%	Very high density
91108	San Marino	12,401	2,933	13	9.4	280%	Very high density
90503	Torrance	43,454	30,491	55	9.4	280%	Very high density
90006	Los Angeles	55,527	9,015	55	9.2	273%	Very high density
91302	Calabasas	25,569	15,549	30	9.0	268%	Very high density
91321	Newhall	31,989	9,863	33	8.9	267%	Very high density
91340	San Fernando	33,424	12,354	34	8.6	256%	Very high density
90232	Culver City	16,554	32,575	28	8.5	254%	Very high density
91204	Glendale	17,857	11,402	20	8.5	253%	Very high density
91801	Alhambra	53,381	13,300	50	8.3	249%	High density
90703	Cerritos	48,108	40,809	57	8.3	248%	High density
91423	Sherman Oaks	32,328	12,426	32	8.3	248%	High density
90807	Long Beach	33,101	13,363	33	8.3	248%	High density
91214	La Crescenta	30,817	4,280	27	8.2	244%	High density
91789	Walnut	40,298	21,957	42	8.2	244%	High density
90041	Los Angeles	27,920	8,206	26	8.1	242%	High density
91780	Temple City	35,588	5,277	31	8.1	242%	High density
90029	Los Angeles	33,303	5,389	29	8.1	240%	High density
90241	Downey	45,319	18,127	43	7.9	236%	High density
91711	Claremont	37,529	18,584	36	7.7	229%	High density
90272	Pacific Palisades	21,390	6,666	19	7.7	229%	High density
90255	Huntington Park	69,349	14,789	58	7.6	226%	High density
91301	Agoura Hills	23,879	16,144	24	7.5	224%	High density
90015	Los Angeles	24,704	36,140	32	7.5	223%	High density
90277	Redondo Beach	34,844	10,996	30	7.4	222%	High density
90815	Long Beach	43,023	12,533	36	7.3	218%	High density
91505	Burbank	31,744	38,320	37	7.3	217%	High density
91731	El Monte	27,620	15,623	25	7.1	211%	High density
91748	Rowland Heights	42,463	28,625	40	7.0	210%	High density
93534	Lancaster	41,430	23,346	37	7.0	208%	High density
93551	Palmdale	54,360	15,504	43	6.9	207%	High density
91307	West Hills	26,580	7,812	21	6.9	206%	High density
91775	San Gabriel	23,672	2,020	17	6.9	206%	High density
91105	Pasadena	12,531	26,124	17	6.6	198%	High density
91367	Woodland Hills	45,889	49,911	47	6.6	198%	High density
90045	Los Angeles	41,786	76,450	53	6.6	198%	High density
91344	Granada Hills	52,890	9,559	38	6.6	197%	High density
90017	Los Angeles	30,172	49,040	36	6.6	196%	High density
91206	Glendale	31,961	9,622	24	6.5	195%	High density
91745	Hacienda Heights	54,351	13,911	40	6.5	195%	High density
90402	Santa Monica	11,337	1,860	8	6.5	195%	High density
90717	Lomita	21,482	3,842	15	6.4	191%	High density
91604	Studio City	32,469	13,201	25	6.4	191%	High density
91335	Reseda	74,526	10,489	51	6.4	191%	High density
90732	San Pedro	23,067	4,351	16	6.3	189%	High density
90640	Montebello	61,382	19,311	45	6.3	189%	High density
91740	Glendora	26,168	11,534	20	6.3	187%	High density
90077	Los Angeles	8,386	2,392	6	6.3	187%	High density
90230	Culver City	31,009	25,629	27	6.2	184%	High density
91107	Pasadena	32,316	20,121	26	6.1	183%	High density
91201	Glendale	22,394	10,959	17	6.1	182%	High density
90260	Lawndale	32,075	4,720	21	6.1	182%	High density
90712	Lakewood	30,800	10,554	22	6.1	182%	High density
91303	Canoga Park	29,805	13,675	22	6.0	179%	High density
90036	Los Angeles	39,278	30,271	32	5.9	175%	High density
90004	Los Angeles	58,484	9,993	37	5.8	174%	High density
91024	Sierra Madre	10,940	2,210	7	5.8	173%	High density
90501	Torrance	41,787	27,757	32	5.7	172%	High density
91770	Rosemead	58,382	15,452	38	5.7	172%	High density
90638	La Mirada	45,933	17,603	31	5.7	169%	High density
90020	Los Angeles	38,994	6,926	24	5.7	169%	High density
91750	La Verne	32,692	10,030	21	5.6	166%	High density
91792	West Covina	30,629	3,498	18	5.6	166%	High density
91326	Porter Ranch	38,428	6,272	23	5.5	165%	High density
90014	Los Angeles	10,224	12,402	9	5.5	164%	High density
91773	San Dimas	33,598	21,548	24	5.4	161%	High density
91733	South El Monte	41,255	18,790	27	5.3	159%	High density
91405	Van Nuys	56,033	13,297	33	5.3	157%	High density
90005	Los Angeles	39,142	6,019	22	5.2	156%	High density
90022	Los Angeles	60,343	10,617	34	5.2	155%	High density
91345	Mission Hills	18,714	9,791	12	5.1	152%	High density
90504	Torrance	33,084	9,527	19	5.0	150%	Above average
90605	Whittier	39,387	5,563	21	5.0	149%	Above average
91311	Chatsworth	40,898	35,403	29	4.9	148%	Above average
90803	Long Beach	31,526	9,788	18	4.9	147%	Above average
90057	Los Angeles	46,629	7,975	25	4.9	147%	Above average
91732	El Monte	57,431	5,213	29	4.8	144%	Above average
90602	Whittier	25,905	10,321	15	4.8	144%	Above average
90254	Hermosa Beach	19,063	7,516	11	4.8	144%	Above average
91722	Covina	35,099	5,781	18	4.7	141%	Above average
90713	Lakewood	28,221	3,179	14	4.7	140%	Above average
91402	Panorama City	65,754	13,518	34	4.7	140%	Above average
91767	Pomona	49,152	13,112	26	4.7	139%	Above average
91606	North Hollywood	43,559	7,421	22	4.7	139%	Above average
90601	Whittier	30,078	13,278	17	4.6	138%	Above average
91042	Tujunga	26,928	2,528	13	4.6	138%	Above average
90094	Playa Vista	11,764	7,404	7	4.5	135%	Above average
90027	Los Angeles	46,558	27,624	27	4.5	133%	Above average
90301	Inglewood	36,060	12,879	19	4.5	133%	Above average
90039	Los Angeles	28,884	10,693	15	4.4	131%	Above average
90706	Bellflower	76,819	11,070	36	4.4	130%	Above average
91351	Canyon Country	33,155	6,961	16	4.4	130%	Above average
90046	Los Angeles	48,296	14,140	24	4.3	129%	Above average
90814	Long Beach	19,471	2,611	9	4.3	129%	Above average
91325	Northridge	35,062	13,305	18	4.3	129%	Above average
90502	Torrance	18,467	18,985	12	4.3	128%	Above average
90806	Long Beach	41,664	19,230	22	4.3	128%	Above average
91791	West Covina	33,028	9,243	16	4.2	127%	Above average
90278	Redondo Beach	42,423	18,982	22	4.2	126%	Above average
90804	Long Beach	38,076	9,269	18	4.2	126%	Above average
90066	Los Angeles	56,740	15,264	27	4.2	125%	Above average
90012	Los Angeles	37,336	26,132	21	4.2	124%	Above average
91401	Van Nuys	39,231	8,028	18	4.2	124%	Above average
91803	Alhambra	27,715	7,125	13	4.2	124%	Above average
90745	Carson	57,397	14,578	26	4.0	120%	Above average
90716	Hawaiian Gardens	13,599	2,821	6	4.0	119%	Above average
91755	Monterey Park	26,810	6,781	12	4.0	119%	Above average
91411	Van Nuys	23,185	9,583	11	3.9	117%	Above average
90056	Los Angeles	8,543	3,350	4	3.9	117%	Above average
91016	Monrovia	41,140	15,929	19	3.9	115%	Above average
90275	Rancho Palos Verdes	40,945	6,239	17	3.9	115%	Above average
90249	Gardena	26,290	9,690	12	3.9	115%	Above average
90247	Gardena	47,053	11,938	20	3.8	113%	Above average
90808	Long Beach	39,317	12,979	17	3.7	111%	Above average
90008	Los Angeles	33,252	3,797	13	3.7	110%	Above average
90660	Pico Rivera	60,272	15,016	25	3.7	110%	Above average
91104	Pasadena	35,937	4,524	14	3.7	109%	Above average
90802	Long Beach	40,434	23,520	19	3.6	109%	Above average
90265	Malibu	15,918	7,752	7	3.5	106%	Above average
90405	Santa Monica	27,298	19,145	13	3.5	105%	Above average
90270	Maywood	24,218	3,143	9	3.5	104%	Above average
91605	North Hollywood	49,868	15,140	20	3.5	104%	Above average
91350	Santa Clarita	43,973	9,991	17	3.5	104%	Above average
90280	South Gate	91,365	16,325	33	3.3	99%	Below average
91601	North Hollywood	36,992	11,096	14	3.3	98%	Below average
90242	Downey	40,767	16,330	16	3.3	98%	Below average
90019	Los Angeles	59,548	9,352	21	3.3	98%	Below average
90650	Norwalk	99,900	16,257	35	3.2	97%	Below average
91724	Covina	28,352	5,579	10	3.2	96%	Below average
90201	Bell Gardens	92,763	14,238	30	3.0	90%	Below average
90746	Carson	27,091	19,507	11	3.0	89%	Below average
91706	Baldwin Park	71,082	33,150	26	3.0	89%	Below average
90250	Hawthorne	93,826	28,756	32	3.0	88%	Below average
90248	Gardena	11,235	32,047	8	2.9	88%	Below average
90034	Los Angeles	57,075	15,888	19	2.9	87%	Below average
90715	Lakewood	20,182	1,018	6	2.9	87%	Below average
91354	Valencia	33,957	2,328	10	2.8	85%	Below average
91744	La Puente	76,942	10,400	23	2.8	84%	Below average
90021	Los Angeles	2,897	22,949	4	2.8	83%	Below average
90028	Los Angeles	32,883	34,891	14	2.8	83%	Below average
90604	Whittier	39,276	1,853	11	2.7	82%	Below average
91040	Sunland	20,821	2,662	6	2.7	81%	Below average
91406	Van Nuys	51,953	29,062	18	2.7	81%	Below average
91001	Altadena	35,475	4,913	10	2.6	79%	Below average
91504	Burbank	27,010	15,030	9	2.6	78%	Below average
91766	Pomona	69,327	17,330	20	2.6	77%	Below average
90731	San Pedro	61,944	9,371	17	2.6	76%	Below average
90305	Inglewood	14,708	2,019	4	2.5	76%	Below average
90013	Los Angeles	14,357	19,679	6	2.5	74%	Below average
91387	Canyon Country	46,869	3,477	12	2.5	74%	Below average
90813	Long Beach	51,241	11,700	14	2.5	73%	Below average
90303	Inglewood	22,727	5,097	6	2.4	71%	Below average
90026	Los Angeles	62,692	11,200	16	2.3	70%	Below average
91702	Azusa	60,903	16,928	16	2.3	69%	Below average
90245	El Segundo	16,769	80,838	13	2.3	68%	Below average
90304	Inglewood	25,430	2,426	6	2.3	67%	Below average
90262	Lynwood	64,235	9,411	15	2.2	65%	Below average
90723	Paramount	52,050	17,896	13	2.1	64%	Below average
91331	Pacoima	97,608	12,975	22	2.1	63%	Below average
90042	Los Angeles	56,835	5,437	12	2.0	60%	Below average
93550	Palmdale	80,645	9,198	17	2.0	60%	Below average
91381	Stevenson Ranch	22,582	5,102	5	2.0	59%	Below average
90023	Los Angeles	43,857	15,473	10	1.9	58%	Below average
90710	Harbor City	26,761	8,584	6	1.9	58%	Below average
91304	Canoga Park	52,474	12,355	11	1.9	56%	Below average
91343	North Hills	60,783	8,139	11	1.7	51%	Below average
90755	Signal Hill	11,521	12,756	3	1.7	50%	Below average
91010	Duarte	27,589	16,663	6	1.7	50%	Far below average
91306	Winnetka	47,176	4,276	8	1.6	48%	Far below average
90065	Los Angeles	44,658	9,443	8	1.6	48%	Far below average
91352	Sun Valley	46,899	17,918	9	1.6	48%	Far below average
91103	Pasadena	25,142	12,808	5	1.6	47%	Far below average
91746	La Puente	28,387	20,996	6	1.5	46%	Far below average
91342	Sylmar	93,301	22,754	16	1.5	46%	Far below average
90016	Los Angeles	46,457	12,131	8	1.5	45%	Far below average
90291	Venice	26,324	13,975	5	1.5	45%	Far below average
91768	Pomona	34,200	14,643	6	1.4	43%	Far below average
90606	Whittier	32,057	6,005	5	1.4	43%	Far below average
90221	Compton	50,659	13,435	8	1.4	42%	Far below average
90744	Wilmington	52,800	9,359	8	1.4	42%	Far below average
90038	Los Angeles	27,127	33,691	6	1.4	41%	Far below average
93552	Palmdale	42,639	3,184	6	1.4	40%	Far below average
90805	Long Beach	92,402	13,240	13	1.3	39%	Far below average
93536	Lancaster	73,412	8,281	10	1.3	38%	Far below average
90007	Los Angeles	38,715	35,467	7	1.2	37%	Far below average
90033	Los Angeles	45,647	21,641	7	1.2	37%	Far below average
90031	Los Angeles	36,127	10,194	5	1.2	36%	Far below average
93535	Lancaster	79,409	8,328	10	1.2	36%	Far below average
90068	Los Angeles	21,572	7,352	3	1.2	35%	Far below average
90037	Los Angeles	65,482	6,422	8	1.2	35%	Far below average
91384	Castaic	26,478	2,170	3	1.1	32%	Far below average
90063	Los Angeles	48,397	3,570	5	1.0	30%	Far below average
90810	Long Beach	35,833	13,244	4	0.9	28%	Far below average
90043	Los Angeles	42,377	3,803	4	0.9	27%	Far below average
90040	Los Angeles	11,430	43,979	3	0.9	27%	Far below average
90220	Compton	48,354	18,487	5	0.9	26%	Far below average
90011	Los Angeles	100,113	7,522	9	0.9	26%	Far below average
90032	Los Angeles	43,117	7,989	4	0.8	25%	Far below average
90670	Santa Fe Springs	17,851	58,770	4	0.8	25%	Far below average
90001	Los Angeles	56,189	8,427	5	0.8	25%	Far below average
90047	Los Angeles	50,974	4,463	4	0.8	22%	Far below average
90018	Los Angeles	48,745	5,252	3	0.6	17%	Far below average
90044	Los Angeles	94,830	4,200	5	0.5	15%	Far below average
90003	Los Angeles	70,065	4,080	3	0.4	12%	Far below average
90002	Los Angeles	52,122	2,174	0–2	—	—	Not published
90009	Los Angeles	—	71	0–2	—	—	Not published
90030	Los Angeles	—	111	0–2	—	—	Not published
90050	Los Angeles	—	111	0–2	—	—	Not published
90051	Los Angeles	—	65	0–2	—	—	Not published
90054	Los Angeles	—	22	0–2	—	—	Not published
90055	Los Angeles	—	8	0–2	—	—	Not published
90058	Los Angeles	3,585	39,384	0–2	—	—	Not published
90059	Los Angeles	37,511	6,736	0–2	—	—	Not published
90060	Los Angeles	—	55	0–2	—	—	Not published
90061	Los Angeles	30,051	6,257	0–2	—	—	Not published
90062	Los Angeles	32,715	2,129	0–2	—	—	Not published
90071	Los Angeles	556	46,029	0–2	—	—	Not published
90073	Los Angeles	1,079	5,494	0–2	—	—	Not published
90075	Los Angeles	—	11	0–2	—	—	Not published
90078	Los Angeles	—	10	0–2	—	—	Not published
90079	Los Angeles	0	696	0–2	—	—	Not published
90086	Los Angeles	—	50	0–2	—	—	Not published
90089	Los Angeles	5,462	7,976	0–2	—	—	Not published
90091	Los Angeles	—	305	0–2	—	—	Not published
90093	Los Angeles	—	11	0–2	—	—	Not published
90095	Los Angeles	0	260	0–2	—	—	Not published
90202	Bell	—	103	0–2	—	—	Not published
90209	Beverly Hills	—	46	0–2	—	—	Not published
90213	Beverly Hills	—	221	0–2	—	—	Not published
90222	Compton	32,340	2,472	0–2	—	—	Not published
90223	Compton	—	126	0–2	—	—	Not published
90224	Compton	—	160	0–2	—	—	Not published
90231	Culver City	—	24	0–2	—	—	Not published
90239	Downey	—	32	0–2	—	—	Not published
90261	Lawndale	—	31	0–2	—	—	Not published
90263	Malibu	1,856	3,379	0–2	—	—	Not published
90264	Malibu	—	30	0–2	—	—	Not published
90267	Manhattan Beach	—	129	0–2	—	—	Not published
90290	Topanga	6,315	1,099	0–2	—	—	Not published
90294	Venice	—	5	0–2	—	—	Not published
90295	Marina Del Rey	—	9	0–2	—	—	Not published
90296	Playa Del Rey	—	16	0–2	—	—	Not published
90302	Inglewood	29,003	4,355	0–2	—	—	Not published
90406	Santa Monica	—	23	0–2	—	—	Not published
90407	Santa Monica	—	953	0–2	—	—	Not published
90408	Santa Monica	—	14	0–2	—	—	Not published
90409	Santa Monica	—	3	0–2	—	—	Not published
90508	Torrance	—	3	0–2	—	—	Not published
90509	Torrance	—	989	0–2	—	—	Not published
90510	Torrance	—	18	0–2	—	—	Not published
90607	Whittier	—	135	0–2	—	—	Not published
90608	Whittier	—	49	0–2	—	—	Not published
90609	Whittier	—	11	0–2	—	—	Not published
90637	La Mirada	—	205	0–2	—	—	Not published
90639	La Mirada	1,671	2,510	0–2	—	—	Not published
90651	Norwalk	—	51	0–2	—	—	Not published
90702	Artesia	—	36	0–2	—	—	Not published
90704	Avalon	3,421	2,248	0–2	—	—	Not published
90707	Bellflower	—	13	0–2	—	—	Not published
90714	Lakewood	—	267	0–2	—	—	Not published
90733	San Pedro	—	73	0–2	—	—	Not published
90734	San Pedro	—	31	0–2	—	—	Not published
90747	Carson	11	779	0–2	—	—	Not published
90748	Wilmington	—	248	0–2	—	—	Not published
90749	Carson	—	198	0–2	—	—	Not published
90801	Long Beach	—	681	0–2	—	—	Not published
90809	Long Beach	—	34	0–2	—	—	Not published
90822	Long Beach	93	3,275	0–2	—	—	Not published
90831	Long Beach	0	2,103	0–2	—	—	Not published
90840	Long Beach	0	524	0–2	—	—	Not published
90853	Long Beach	—	39	0–2	—	—	Not published
90895	Carson	—	2,034	0–2	—	—	Not published
91003	Altadena	—	3	0–2	—	—	Not published
91008	Duarte	743	82	0–2	—	—	Not published
91009	Duarte	—	21	0–2	—	—	Not published
91012	La Canada Flintridge	—	17	0–2	—	—	Not published
91017	Monrovia	—	35	0–2	—	—	Not published
91021	Montrose	—	9	0–2	—	—	Not published
91025	Sierra Madre	—	5	0–2	—	—	Not published
91031	South Pasadena	—	53	0–2	—	—	Not published
91041	Sunland	—	22	0–2	—	—	Not published
91043	Tujunga	—	25	0–2	—	—	Not published
91046	Verdugo City	115	28	0–2	—	—	Not published
91066	Arcadia	—	111	0–2	—	—	Not published
91102	Pasadena	—	2	0–2	—	—	Not published
91109	Pasadena	—	7,736	0–2	—	—	Not published
91117	Pasadena	—	14	0–2	—	—	Not published
91118	San Marino	—	2	0–2	—	—	Not published
91124	Pasadena	—	1,841	0–2	—	—	Not published
91125	Pasadena	1,000	4,996	0–2	—	—	Not published
91182	Pasadena	—	32	0–2	—	—	Not published
91188	Pasadena	—	2,177	0–2	—	—	Not published
91209	Glendale	—	601	0–2	—	—	Not published
91210	Glendale	312	6,109	0–2	—	—	Not published
91221	Glendale	—	6	0–2	—	—	Not published
91222	Glendale	—	17	0–2	—	—	Not published
91224	La Crescenta	—	9	0–2	—	—	Not published
91225	Glendale	—	2,761	0–2	—	—	Not published
91226	Glendale	—	3	0–2	—	—	Not published
91305	Canoga Park	—	37	0–2	—	—	Not published
91308	West Hills	—	11	0–2	—	—	Not published
91309	Canoga Park	—	1,090	0–2	—	—	Not published
91310	Castaic	—	8	0–2	—	—	Not published
91313	Chatsworth	—	346	0–2	—	—	Not published
91322	Newhall	—	34	0–2	—	—	Not published
91327	Northridge	—	5	0–2	—	—	Not published
91328	Northridge	—	75	0–2	—	—	Not published
91329	Northridge	—	435	0–2	—	—	Not published
91330	Northridge	2,512	1,505	0–2	—	—	Not published
91337	Reseda	—	8	0–2	—	—	Not published
91341	San Fernando	—	104	0–2	—	—	Not published
91346	Mission Hills	—	47	0–2	—	—	Not published
91353	Sun Valley	—	10	0–2	—	—	Not published
91357	Tarzana	—	208	0–2	—	—	Not published
91365	Woodland Hills	—	57	0–2	—	—	Not published
91372	Calabasas	—	53	0–2	—	—	Not published
91376	Agoura Hills	—	30	0–2	—	—	Not published
91380	Santa Clarita	—	107	0–2	—	—	Not published
91385	Valencia	—	3	0–2	—	—	Not published
91386	Canyon Country	—	14	0–2	—	—	Not published
91390	Santa Clarita	19,308	1,614	0–2	—	—	Not published
91392	Sylmar	—	1,098	0–2	—	—	Not published
91396	Winnetka	—	21	0–2	—	—	Not published
91404	Van Nuys	—	40	0–2	—	—	Not published
91409	Van Nuys	—	46	0–2	—	—	Not published
91413	Sherman Oaks	—	174	0–2	—	—	Not published
91416	Encino	—	53	0–2	—	—	Not published
91426	Encino	—	51	0–2	—	—	Not published
91503	Burbank	—	23	0–2	—	—	Not published
91510	Burbank	—	80	0–2	—	—	Not published
91521	Burbank	—	12,126	0–2	—	—	Not published
91522	Burbank	—	133	0–2	—	—	Not published
91523	Burbank	—	50	0–2	—	—	Not published
91603	North Hollywood	—	3	0–2	—	—	Not published
91608	Universal City	38	42,669	0–2	—	—	Not published
91609	North Hollywood	—	7	0–2	—	—	Not published
91610	Toluca Lake	—	62	0–2	—	—	Not published
91614	Studio City	—	514	0–2	—	—	Not published
91617	Valley Village	—	148	0–2	—	—	Not published
91715	City Of Industry	—	537	0–2	—	—	Not published
91716	City Of Industry	—	23	0–2	—	—	Not published
91747	La Puente	—	189	0–2	—	—	Not published
91749	La Puente	—	106	0–2	—	—	Not published
91769	Pomona	—	739	0–2	—	—	Not published
91778	San Gabriel	—	6	0–2	—	—	Not published
91788	Walnut	—	144	0–2	—	—	Not published
91793	West Covina	—	23	0–2	—	—	Not published
91802	Alhambra	—	451	0–2	—	—	Not published
93510	Acton	7,786	1,807	0–2	—	—	Not published
93532	Lake Hughes	2,930	164	0–2	—	—	Not published
93539	Lancaster	—	67	0–2	—	—	Not published
93543	Littlerock	12,275	670	0–2	—	—	Not published
93544	Llano	1,027	91	0–2	—	—	Not published
93553	Pearblossom	1,319	90	0–2	—	—	Not published
93563	Valyermo	195	21	0–2	—	—	Not published
93584	Lancaster	—	66	0–2	—	—	Not published
93591	Palmdale	7,051	248	0–2	—	—	Not published
93599	Palmdale	—	3,989	0–2	—	—	Not published

Scroll the table sideways to see all columns.

Find an actual space in El Segundo

The numbers above tell you how the market looks. To find a specific storefront, these marketplaces list available retail space for lease.

LoopNet

Largest commercial marketplace

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Crexi

Free listings + market data

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CityFeet

Retail space for lease

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Open vacancy data (actual empty units) is only published by some cities; where it exists we show it directly. Listings above are third-party.

Census withholds some ZIP-by-industry cells to protect small businesses. 0–2 means the cell was not published (Census publishes industry counts only at 3+ per ZIP), so the ZIP is left unranked rather than counted as zero. ~ means the count is estimated from the broader industry group and can be off by a business or two.

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Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 621210 — offices of dentists. Counts establishments with paid employees. ZBP is published annually with a ~2-year lag.

Fresh county signal. BLS QCEW (quarterly) is newer than ZBP — 2026 Q1 shows 6,628 establishments county-wide for this industry. It cannot be broken down by ZIP.

Population. U.S. Census American Community Survey 2024 5-year ZCTA population (table B01003). Workers are the ZIP's total employment from the same 2023 ZBP file.

Demand ("people present"). Demand comes from residents and daytime workers: residents + 0.5 × workers. This is the single documented assumption in the model and can be tuned.

Index. index = (ZIP establishments ÷ ZIP demand × 10,000) ÷ the U.S. average for this industry (3.35 per 10,000 present). It is a supply-side density measure; it does not capture income, rent, tourism, or whether locals actually want more.

Read the full methodology → · Data sources & vintages →

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BizGapMap — free, no-login small-business saturation reports for major U.S. counties. Built entirely from public U.S. Census, BLS, and IRS data (ZBP 2023, ACS 2024 5-year, PEP 2024, LODES, QCEW, IRS SOI). No forecasts, no revenue guesses — withheld cells are marked, and the few derived counts are labelled as estimates.