Home / Grocery stores & supermarkets / District of Columbia / District of Columbia, DC

District of Columbia, DC — Grocery stores Saturation

Name: Grocery stores density by ZIP code in District of Columbia, DC
Creator: BizGapMap

How many grocery stores 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. 106 ZIP codes analyzed.

Includes: Supermarkets · Grocery stores · Neighborhood food markets. Counted together because official statistics use one 445110 code.

Measured density: Above average — 1.11× the U.S. rate (between 1.11× and 1.26× 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. 88 ZIP cells in this county are withheld, 11 of them with residents. Each could hold 0, 1, or 2 businesses: counting them all as 0 gives the low end, counting them all as 2 gives the high end — the data cannot say where the truth sits. The density range uses only the populated cells, since ZIPs without residents are excluded from per-person rates. How ranges work

Range spans the U.S. rate District of Columbia grocery stores — 111–126% of the U.S. rate

164 grocery stores are counted in District of Columbia — 1.7 per 10,000 people present (residents + daytime workers), 111% of the U.S. rate of 1.6.

On the comparable ZIP set (ZIPs with a published count in every year), the total has fallen 12% between 2015 and 2023 (172 → 152). 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 20010 (Washington), 20003 (Washington), 20009 (Washington) — well above the national rate. On measured density alone, the lowest-density residential ZIPs with a published count are 20017 (Washington), 20024 (Washington), 20012 (Washington).

BLS QCEW puts the latest county-wide count (2026 Q1) at 147 establishments, the freshest available signal.

Measured density: District of Columbia sits at 111% of the U.S. rate for grocery stores. 11 ZIPs with population have no published count (each 0–2 businesses), so the true per-capita rate is between 111% and 126% of the U.S. rate. Why. The highest measured density is in 20010 and 20003; the lowest measured density is in 20017 and 20024.

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

Grocery stores

164–340

published count; upper bound counts each withheld ZIP cell as 2 (88 cells) (2023)

Per 10,000 present

1.7

residents + daytime workers

U.S. average

1.6

per 10,000 present

County index

1.11×

vs. U.S.

Latest quarter (QCEW)

147

2026 Q1 — county total

Residents

681,033

29 ZIPs with data

Workers

536,896

jobs located in county

Is the area growing?

Population

702,250

Census PEP, July 1 2024

Change since 2020

+4.7%

+31,333 people

Net migration 2024

+12,165

international +12,502, domestic −337

Jobs located here

656,985

LODES 2022, −4.5% since 2019

District of Columbia had an estimated 702,250 residents on July 1, 2024 — 4.7% more than in 2020 (+31,333). In the latest year it gained 14,926 people: births minus deaths +2,761, international migration +12,502, domestic migration −337. Components are published separately and may not sum exactly.

656,985 jobs were located in the county in 2022 (−4.5% since 2019), and 310,036 employed residents lived there (−3.1% 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

20003 Washington

+14.7%

ZIP losing residents

2015–19 → 2020–24

Change

No ZIP had a statistically significant decrease.

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

Nonemployer businesses

Not shown. Census publishes grocery stores only combined with convenience stores in this dataset, so a grocery-only nonemployer count is not published.

Census Nonemployer Statistics 2024 (NAICS 2022). We do not approximate this figure.

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 grocery stores 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 — down 12% since 2015

Number of grocery stores in District of Columbia 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.

172

2015

160

2018

156

2020

151

2021

159

2022

152

2023

Highest measured density

ZIP

vs. U.S. average

Index

20010 Washington

194%

20003 Washington

180%

20009 Washington

171%

20032 Washington

162%

20007 Washington

160%

20002 Washington

145%

20011 Washington

143%

20016 Washington

130%

20008 Washington

117%

20015 Washington

106%

20001 Washington

106%

20020 Washington

104%

20037 Washington

102%

20019 Washington

96%

20012 Washington

95%

Lowest measured density

ZIP

vs. U.S. average

Index

20017 Washington

77%

20024 Washington

82%

20012 Washington

95%

20019 Washington

96%

20037 Washington

102%

20020 Washington

104%

20001 Washington

106%

20015 Washington

106%

20008 Washington

117%

20016 Washington

130%

20011 Washington

143%

20002 Washington

145%

20007 Washington

160%

20032 Washington

162%

20009 Washington

171%

Low measured density is not evidence of opportunity. A ZIP with few grocery stores 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	Grocery stores	Index
20005	Washington	Employment hub	13,131	69,741	3	40%
20004	Washington	Destination	1,831	28,127	0–2	—
20006	Washington	Destination	1,362	47,185	0–2	—
20036	Washington	Destination	4,605	59,136	0–2	—
20052	Washington	Employment hub	2,730	10,990	0–2	—
20057	Washington	Employment hub	3,229	10,252	0–2	—
20064	Washington	Employment hub	1,442	3,230	0–2	—
20422	Washington	Destination	15	1,892	0–2	—

Scroll the table sideways to see all columns.

All ZIP codes

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

ZIP	Neighborhood	Residents	Workers	Grocery stores	Per 10k	Index	Status
20010	Washington	31,808	22,433	13	3.0	194%	High density
20003	Washington	37,482	24,874	14	2.8	180%	High density
20009	Washington	50,150	20,002	16	2.7	171%	High density
20032	Washington	40,920	5,466	11	2.5	162%	High density
20007	Washington	24,602	23,329	9	2.5	160%	High density
20002	Washington	72,397	32,163	20	2.3	145%	Above average
20011	Washington	67,434	9,520	16	2.2	143%	Above average
20016	Washington	32,730	23,622	9	2.0	130%	Above average
20008	Washington	29,434	7,001	6	1.8	117%	Above average
20015	Washington	15,653	4,933	3	1.7	106%	Above average
20001	Washington	44,616	56,686	12	1.6	106%	Above average
20020	Washington	53,005	5,478	9	1.6	104%	Above average
20037	Washington	13,156	23,997	4	1.6	102%	Above average
20019	Washington	63,380	6,936	10	1.5	96%	Below average
20012	Washington	17,519	5,500	3	1.5	95%	Below average
20024	Washington	15,888	15,129	3	1.3	82%	Below average
20017	Washington	21,208	7,780	3	1.2	77%	Below average
20005	Washington	13,131	69,741	3	0.6	40%	Far below average
20004	Washington	1,831	28,127	0–2	—	—	Not published
20006	Washington	1,362	47,185	0–2	—	—	Not published
20013	Washington	—	25	0–2	—	—	Not published
20018	Washington	19,562	10,789	0–2	—	—	Not published
20027	Washington	—	17	0–2	—	—	Not published
20030	Washington	—	59	0–2	—	—	Not published
20035	Washington	—	9	0–2	—	—	Not published
20036	Washington	4,605	59,136	0–2	—	—	Not published
20043	Washington	—	11	0–2	—	—	Not published
20044	Washington	—	15	0–2	—	—	Not published
20045	Washington	0	692	0–2	—	—	Not published
20049	Washington	—	1,231	0–2	—	—	Not published
20050	Washington	—	70	0–2	—	—	Not published
20052	Washington	2,730	10,990	0–2	—	—	Not published
20057	Washington	3,229	10,252	0–2	—	—	Not published
20059	Washington	1,338	581	0–2	—	—	Not published
20060	Washington	—	1,691	0–2	—	—	Not published
20064	Washington	1,442	3,230	0–2	—	—	Not published
20071	Washington	—	1,788	0–2	—	—	Not published
20090	Washington	—	83	0–2	—	—	Not published
20201	Washington	—	153	0–2	—	—	Not published
20202	Washington	—	11	0–2	—	—	Not published
20210	Washington	—	389	0–2	—	—	Not published
20220	Washington	0	20	0–2	—	—	Not published
20223	Washington	—	79	0–2	—	—	Not published
20224	Washington	—	87	0–2	—	—	Not published
20226	Washington	—	52	0–2	—	—	Not published
20228	Washington	—	19	0–2	—	—	Not published
20229	Washington	—	178	0–2	—	—	Not published
20230	Washington	0	172	0–2	—	—	Not published
20240	Washington	0	126	0–2	—	—	Not published
20242	Washington	—	38	0–2	—	—	Not published
20250	Washington	0	95	0–2	—	—	Not published
20260	Washington	0	98	0–2	—	—	Not published
20301	Washington	—	102	0–2	—	—	Not published
20310	Washington	—	162	0–2	—	—	Not published
20314	Washington	—	6	0–2	—	—	Not published
20319	Washington	23	45	0–2	—	—	Not published
20330	Washington	—	31	0–2	—	—	Not published
20340	Washington	—	573	0–2	—	—	Not published
20350	Washington	—	3	0–2	—	—	Not published
20373	Naval Anacost Annex	383	79	0–2	—	—	Not published
20374	Washington Navy Yard	—	303	0–2	—	—	Not published
20375	Washington	—	127	0–2	—	—	Not published
20376	Washington Navy Yard	—	32	0–2	—	—	Not published
20388	Washington Navy Yard	0	15	0–2	—	—	Not published
20392	Washington	—	9	0–2	—	—	Not published
20395	Washington	—	61	0–2	—	—	Not published
20401	Washington	—	55	0–2	—	—	Not published
20405	Washington	—	134	0–2	—	—	Not published
20407	Washington	—	54	0–2	—	—	Not published
20410	Washington	—	147	0–2	—	—	Not published
20420	Washington	—	28	0–2	—	—	Not published
20422	Washington	15	1,892	0–2	—	—	Not published
20426	Washington	—	32	0–2	—	—	Not published
20431	Washington	0	103	0–2	—	—	Not published
20433	Washington	—	305	0–2	—	—	Not published
20460	Washington	—	20	0–2	—	—	Not published
20472	Washington	—	6	0–2	—	—	Not published
20503	Washington	—	129	0–2	—	—	Not published
20510	Washington	0	27	0–2	—	—	Not published
20515	Washington	0	323	0–2	—	—	Not published
20520	Washington	0	248	0–2	—	—	Not published
20528	Washington	—	20	0–2	—	—	Not published
20529	Washington	—	42	0–2	—	—	Not published
20530	Washington	0	364	0–2	—	—	Not published
20534	Washington	—	30	0–2	—	—	Not published
20535	Washington	0	199	0–2	—	—	Not published
20536	Washington	—	17	0–2	—	—	Not published
20540	Washington	0	101	0–2	—	—	Not published
20544	Washington	—	100	0–2	—	—	Not published
20546	Washington	—	31	0–2	—	—	Not published
20548	Washington	—	608	0–2	—	—	Not published
20549	Washington	—	355	0–2	—	—	Not published
20551	Washington	0	25	0–2	—	—	Not published
20552	Washington	—	53	0–2	—	—	Not published
20554	Washington	—	55	0–2	—	—	Not published
20560	Washington	0	138	0–2	—	—	Not published
20565	Washington	0	111	0–2	—	—	Not published
20566	Washington	0	152	0–2	—	—	Not published
20571	Washington	—	62	0–2	—	—	Not published
20577	Washington	—	782	0–2	—	—	Not published
20580	Washington	—	175	0–2	—	—	Not published
20581	Washington	—	33	0–2	—	—	Not published
20585	Washington	—	372	0–2	—	—	Not published
20590	Washington	—	156	0–2	—	—	Not published
20591	Washington	0	105	0–2	—	—	Not published
20593	Washington	—	45	0–2	—	—	Not published

Scroll the table sideways to see all columns.

Find an actual space in Washington

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

LoopNet

Largest commercial marketplace

Browse Washington retail space →

Crexi

Free listings + market data

Browse Washington retail space →

CityFeet

Retail space for lease

Browse Washington retail space →

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

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

Follow District of Columbia and grocery stores

When a data vintage changes or a section of this report is revised, we post it to a public update feed. No email address, no account, no tracking — and nothing is sent unless something actually changed.

Subscribe to updates (RSS) How these numbers are built →

Methodology & sources

Establishments. U.S. Census ZIP Code Business Patterns (ZBP 2023), NAICS 445110 — supermarkets & other grocery stores. 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 147 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 (1.55 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 →

Check your ZIP · Low-density ZIPs nearby · Answers · Data story · Methodology · Data sources · About · Privacy · Terms · Updates (RSS)

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.