Queen Anne had the largest number of licensed locations in our analysis of Seattle’s mapped business records. Capitol Hill had the most records classified as food services. The University District had a higher food-service share than either.
Those findings describe three different features of a neighborhood economy: the number of business records, the number in a particular industry, and that industry’s share of the local mix. None, by itself, tells you how busy the sidewalks are.
To understand the difference, we analyzed the City’s public active-business-location map and grouped its records into Seattle’s 53 Community Reporting Areas. The result is a view of where licensed activity appears in this source—and an explanation of why counting it takes more care than adding dots to a map.
What we counted
Our October 28, 2026 download of the City’s Business Locations (Active) geographic layer contained 55,035 records.
We identified and removed 1,242 repeated rows using the combination of license ID and location ID. The repeated entries agreed on the industry, location attributes, and coordinates used in this analysis. That left 53,793 unique license-location pairs.
Of those, 52,793 mapped into Seattle’s Community Reporting Areas. Another 1,000 did not fall within those boundaries and are excluded from the neighborhood tables. They should not automatically be labeled bad records: a business licensed to operate in Seattle can be located outside it.
This is the geographic layer’s mapped coverage, not a census of every Seattle business. It is also a different product from the City’s broader active tax-certificate table. Counts from the two should not be substituted for each other without reconciling coverage and counting units.
Where the mapped records cluster
| Community Reporting Area | Unique mapped licensed locations |
|---|---|
| Queen Anne | 3,231 |
| Cascade/Eastlake | 2,526 |
| Downtown Commercial Core | 2,459 |
| Fremont | 2,024 |
| First Hill | 1,918 |
| Greenwood/Phinney Ridge | 1,905 |
| Capitol Hill | 1,819 |
| West Seattle Junction/Genesee Hill | 1,671 |
| Duwamish/SODO | 1,668 |
| Ravenna/Bryant | 1,664 |
Source: our spatial grouping of the City’s active-business-location layer. These are raw counts, not counts per resident, acre, or commercial square foot.
The geography matters. A Community Reporting Area can combine several places residents think of separately. “Queen Anne” covers a different geographic footprint from “Downtown Commercial Core,” and Cascade/Eastlake combines areas that do not necessarily share one commercial identity.
The City explains that Community Reporting Areas support consistent statistical reporting. They are not official community-defined neighborhood boundaries. We use them to make the analysis reproducible, not to settle where a neighborhood starts or ends.
A food-business comparison tells a different story
The overall count is only one way to read the map. Filtering records to NAICS 722, Food Services and Drinking Places, changes the comparison.
| Community Reporting Area | Food-service records | All mapped licensed locations | Food-service share |
|---|---|---|---|
| Capitol Hill | 309 | 1,819 | 17.0% |
| Cascade/Eastlake | 261 | 2,526 | 10.3% |
| Downtown Commercial Core | 225 | 2,459 | 9.2% |
| Queen Anne | 200 | 3,231 | 6.2% |
| University District | 174 | 845 | 20.6% |
| Pioneer Square/International District | 161 | 895 | 18.0% |
These are the six areas with the largest food-service record counts in the analyzed layer. The industry includes more than conventional dine-in restaurants, so the figures should not be read as verified restaurant totals.
Capitol Hill has more food-service records than the University District. The University District, however, has a more food-heavy mix among the mapped licensed locations in this source. Queen Anne leads the overall business-record count but has a much smaller food-service share than either.
For someone exploring Seattle, those are different kinds of information. For someone researching a food business, they are starting points for questions about customers and competitors. A high food-service share does not prove unmet demand; it may mean there are already many businesses competing for it.
Much of the neighborhood economy is easy to miss from the sidewalk
Retail and restaurants are visible. Other licensed activities may operate upstairs, from offices, by appointment, remotely, or from homes.
For example, the analyzed records include 771 professional, scientific, and technical-service locations in the Downtown Commercial Core, compared with 225 food-service records. Queen Anne has 675 professional-service records, compared with 200 food-service records.
Fremont has 400 records in health care and social assistance, compared with 126 food-service records. Those industry categories are broad; they do not establish patient volumes, employment, public access, or the size of individual businesses.
They do show why a neighborhood’s business landscape cannot be reduced to its most familiar shopping street. An area can contain substantial licensed activity without presenting a continuous row of shops.
What a license map cannot tell us
An active license is an administrative record. It does not verify that a business has a public storefront, operates full time, employs a particular number of people, or is independently owned.
That last distinction is important. This article describes licensed locations, rather than calling every record a small business. The source does not provide the employment or revenue information needed to apply a consistent business-size definition.
Nor can this one snapshot tell us how many businesses opened or closed in a previous year. Looking at the start dates of today’s active records leaves out businesses that have since disappeared from the file. It describes surviving active records, not all historical openings.
The map also cannot rank neighborhood economic health. High counts may reflect a larger reporting area, shared office buildings, professional practices, or many small operators. Low counts may reflect source coverage or a different land-use pattern. Revenue, employment, commercial vacancy, affordability, and customer activity require additional evidence.
How residents and business owners can use the findings
For residents, the industry mix helps explain why a place can feel different during working hours, evenings, or weekends. The records suggest what kinds of activity to investigate; a walk through the area and direct local knowledge reveal how that activity appears on the ground.
For entrepreneurs, the useful question is more specific than “Which neighborhood has the most businesses?” A therapist, a café operator, and a commercial cleaning company need different customers and premises. Their relevant market areas may also cross these reporting boundaries.
For neighborhood organizations, a consistent count offers a starting point for comparing the mix of licensed activity with storefront surveys, vacancy information, and community priorities. A decline or increase should only be reported after a comparable later snapshot and an assessment of coverage changes.
Method and sources
We downloaded all pages of the City’s active geographic business layer in object-ID order and checked the downloaded count and ID uniqueness against the service count. We deduplicated matching license/location pairs and checked duplicates for conflicting industry, location-type, status, or coordinate values; none conflicted in the fields retrieved.
We then assigned the remaining points to the City’s Community Reporting Area boundary layer. The join covered all 53 reporting areas, with no assignments overlapping different areas. The 1,000 unmatched points remain visible in the supporting analysis.
Food services uses NAICS 722; professional services uses sector 54; health care and social assistance uses sector 62. Industry labels retain the source’s classifications. Percentages divide an area’s industry count by its total mapped licensed locations.
The published tables contain aggregate results. They do not include individual home addresses, contact names, or phone numbers. The findings describe the retrieved snapshot and the coverage of this particular geographic source; they are not estimates of every business operating in Seattle.
How to use this research to make a neighborhood decision
Treat the license map as a first screen, then validate the actual customer catchment. A Community Reporting Area is larger than a storefront’s immediate surroundings, and a high business count does not establish foot traffic, purchasing power or unmet demand.
| Decision | What to do next | Evidence to collect |
|---|---|---|
| Choose a storefront or service area | Shortlist two or three locations, then walk the relevant streets at the times your customers would visit. Repeat observations on comparable weekdays and a weekend. | Open and occupied storefronts, pedestrian activity, access, nearby destinations and customer interviews. |
| Understand competition | Manually verify a small sample of businesses in your exact category. Compare offers, opening hours, service areas, pricing information and booking options. | Confirmed operating competitors and a specific customer need your business can meet; license records alone cannot establish a gap. |
| Find useful local partners | Look for complementary businesses and approach them individually with a reciprocal referral, event or useful local resource. | Referred qualified inquiries, new customers and contribution after referral costs, rather than the number of partnerships announced. |
| Improve local search visibility | Make your actual address or service area, hours, services and booking details clear. Create useful neighborhood content only for places you genuinely serve. | Qualified calls, bookings and directions requests, checked against completed business outcomes. |
Build a simple location comparison before committing
For each candidate, record occupancy cost, access, relevant competition, customer interviews, observed activity and your assumptions about demand. Keep unknowns visible. Business density and food-service share should be two inputs in that comparison, not a final location score.
An illustrative operating check: a location with $6,000 in monthly fixed costs and $40 in contribution per completed sale would need 150 sales a month just to cover those fixed costs ($6,000 ÷ $40). That is an assumption-based example, not a Seattle cost estimate. Add other costs, capacity limits, seasonality and your required profit before treating it as a business case.
What to accomplish in the next 30 days
First week: select two candidate areas and verify ten relevant business listings or storefronts in each. Second week: speak with potential customers and neighboring operators about the need you intend to serve. Third week: test a specific offer through an existing local audience, a partner or a small campaign. Fourth week: compare qualified demand and expected contribution with your location and delivery costs.
If you operate across several neighborhoods, label campaigns and offers consistently and ask how new customers heard about you. An email segment should reflect information customers have actually provided or their purchase history. Avoid creating dozens of interchangeable neighborhood pages; a useful page answers real questions about availability, travel, service boundaries and local examples.
Data sources, interpretation and corrections
The original tables show selected areas and industries from the mapped source, not every Seattle business or a storefront census. The derived dataset is documented by the article’s methods and coverage notes; no separate public download or reuse license is asserted.
Public-source data and the calculation methods are identified above. Practical action plans and financial examples are our interpretation; example values are illustrative and are not findings from the Seattle datasets. To flag a source change or calculation issue, contact Seattle Organic SEO with the article title, table and source period.
Need help turning local research into a measurable marketing plan? Discuss your business, service area and goals with our team.
Written by the Seattle Organic SEO Team
The Seattle Organic SEO team combines more than 30 years of hands-on client experience across SEO, paid media, email marketing and affiliate marketing. Our team has worked for leading technology companies, including Amazon, Expedia and Google-acquired DoubleClick. We bring that experience to source-based research, transparent analysis and practical guidance for Seattle businesses. Learn more about our team and approach.