Find Where Your Buyers Cluster With BLS and LEHD Data

If your customers are other businesses, the government has already drawn a map of where they are. The Bureau of Labor Statistics counts the payroll jobs in almost every industry in almost every county in the country, four times a year. The Census Bureau links those jobs back to where the workers live. Put the two together and you can see exactly which counties and corridors your target industry clusters in, before you place a single ad or open a single branch. Most sellers never open either file. Here is how to read them in an afternoon and let the map decide your territory.

Most territory plans are drawn from memory. Someone remembers a big customer in one metro, so the metro gets a rep. A trade show in another city felt busy, so that region gets a budget. Sometimes the memory is right. Often it points at a market where the industry you sell to is thin, and away from a county where it is dense but quiet. Public labor data replaces the memory with a count. The Quarterly Census of Employment and Wages, the QCEW, is close to a full count of covered payroll jobs because it is built from the unemployment insurance records that employers are required to file. It is not a survey with a wide margin. It is the roster.

This is the kind of read we run in the first phase of the five-phase system, before anything gets built or bought. It pairs with the consumer-market read in the Census service-area guide and the firm-list build in the County Business Patterns guide. The data is free, it is public, and it is the same source the expensive territory-planning tools quietly resell. You can pull it yourself. Here is the method.

#What QCEW actually gives you

QCEW answers a small set of questions that a territory plan lives or dies on. For any industry code, in any county, it publishes:

• Employment. The average number of payroll jobs in that industry in that county. This is your density signal. A county with twenty thousand warehouse jobs is a different market than one with two hundred.
• Establishments. The count of physical business locations in that industry. Employment tells you how many workers; establishments tell you how many separate accounts you could sell to.
• Average weekly wage. A read on the tier of the work. A high average wage in a professional-services code points to firms that buy differently than a low-wage code in the same family.
• The industry breakdown by NAICS code. QCEW is sliced by the same North American Industry Classification System every other federal source uses, so the codes line up across datasets.

None of this is a projection. It is a count of jobs that existed on a payroll. If you sell to logistics firms, the employment figure in the transportation and warehousing codes is the size of your addressable workforce in that county. If you sell to manufacturers, the manufacturing codes are your map. The NAICS guide walks through picking the exact codes that describe your buyer, which is the one decision that makes or breaks this read.

#Pull your industry by county in twenty minutes

The front door is bls.gov/cew. No account, no plugin, no code to start. Work through it in this order:

1. Fix your industry code first. Decide which NAICS codes describe the businesses you sell to. Write them down before you touch the data, because the whole read is only as good as the codes you choose.
2. Open the QCEW data viewer and choose a single industry (by NAICS code) and the newest available quarter. The viewer will return that industry's employment and establishment counts for every area you ask for.
3. Ask for county-level detail across your region, or the whole state, or the nation. County is the grain that matters for territory work, because that is the level you can actually staff or target.
4. Sort the counties by employment. The top of that list is where the jobs are. Note the establishment count next to each, because a county can have high employment concentrated in a few huge sites, or spread across many small ones, and those are very different sales motions.
5. Export the table. Repeat for each NAICS code you care about, then stack them. A handful of codes across your region is enough to see the whole cluster map.

#Add the commute shed with LEHD OnTheMap

QCEW tells you how many jobs sit inside a county line. It does not tell you where those workers come from, or how far the market really reaches. A county with a big cluster on its northern edge is functionally joined to the county above it, because the workers cross the line every day. To see that, you need the Census LEHD program, and the tool that makes it readable is OnTheMap.

The LEHD data links jobs to the home addresses of the workers who hold them. That link is what powers the commute view. Open onthemap.ces.census.gov, draw or select an area, and you get two readings that a plain jobs count can never give you:

• Where the workers live. Select an employment area and OnTheMap shows the home locations of the people who work there. This is the commute shed. It is the real drive-time reach of a cluster, mapped from actual data instead of a radius you drew on a hunch.
• Where the residents work. Flip the analysis and select where people live, and it shows where they travel to work. This tells you whether a residential area feeds a nearby cluster or a distant one.
• Job density on a map. OnTheMap renders the concentration as points and heat, so you can see a corridor form across county lines instead of reading it out of a spreadsheet.
• A filter by industry sector. You can restrict the view to the sector you sell to, so the commute shed you see is your buyers' commute, not the general workforce.

Read the two tools together. QCEW ranks the counties by how many of your buyers' jobs sit there. OnTheMap shows you how those job clusters connect through commuting, so you can group adjacent counties into one real market instead of treating a metro that spans three county lines as three separate territories. A cluster of manufacturing jobs on a county border, feeding workers from two counties, is one sales region, and only the commute map makes that obvious.

#Turn the maps into a territory decision

A ranked county list and a commute map are not yet a plan. The move that turns them into a decision is to score each county on two numbers you already pulled: the employment count, which is how big the opportunity is, and the establishment count, which is how many separate accounts that opportunity is spread across. Together they tell you what kind of selling wins there.

Say QCEW shows one county with eight thousand jobs across forty establishments, and a neighbor with five thousand jobs across four hundred establishments. The first is a small number of large accounts; a named-account sales motion and a physical presence pay off there. The second is a long tail of small firms; targeted local advertising and a strong site that ranks for the service will reach far more of them than a rep ever could. Same industry, two different plays, and the split is visible in two columns of free data.

• High employment, few establishments. These are large accounts. A branch, a dedicated rep, or a field presence earns its cost. Prioritize direct outreach.
• High employment, many establishments. This is a dense long tail, and it is where local SEO and targeted ads scale, because you cannot knock on every door.
• Low employment anywhere. This is a thin market. Do not staff it, do not build a landing page for it, and do not feel bad about skipping it. The count told you it is not there.
• A commute shed that crosses county lines. Merge the counties into one territory and target the corridor, not the political boundary.

#Pair it with County Business Patterns for firm counts

QCEW counts jobs and establishments. It is strong on employment and it publishes fast. But when you want the number of firms in a county broken down by firm size, or a cleaner count of businesses by detailed industry, County Business Patterns is the companion source. CBP is an annual Census release built from the business register, and it reports establishment counts by employment-size class, so you can separate the county's handful of large employers from its many small ones.

The workflow is simple. Use QCEW to rank counties by employment and to move fast each quarter. Use County Business Patterns once a year to confirm the firm counts and, critically, the size mix. A county might look identical to another on total jobs, but CBP can show you that one is all mid-size firms in your sweet spot while the other is dominated by a single giant that will never be your customer. The full method for turning CBP into an actual list of accounts is in the target-list guide; here it is the sanity check that keeps the QCEW ranking honest.

#Read the trend, not just the snapshot

One quarter of QCEW tells you where an industry is. A few years of it tells you where it is heading, and the direction is often worth more than the level. BLS keeps prior quarters, so you can line up the same NAICS code in the same county across releases and watch the employment count move. A county where your buyers' jobs are climbing quarter over quarter is a market pulling toward you, even if today's level looks ordinary. A county where the count is sliding is one to be careful about staffing, however good it looks right now.

The discipline is the same as any trend read. Pull the same code and county for the two or three most recent comparable periods, put the numbers side by side, and calculate the change. You are not forecasting to the decimal. You are catching a direction early enough to point a branch, a hire, or a content plan at a market before competitors notice it is growing. A county that is quietly gaining the firms you serve is the cheapest place to win, because demand is arriving faster than the competition for it. That timing edge is free, and it sits in files almost nobody bothers to compare across quarters.

#Common mistakes to avoid

• Picking the wrong NAICS codes. A code that is too broad drags in businesses you do not sell to; one too narrow misses half your market. Fix the codes before you trust any ranking.
• Reading employment without establishments. Eight thousand jobs at four sites is a different plan than eight thousand jobs at four hundred sites. Always read the two columns together.
• Trusting county lines over commute sheds. A cluster on a border is one market. Skipping OnTheMap means splitting a real territory into fake ones.
• Treating QCEW like a projection. It is a count of jobs that existed on a payroll last quarter, not a forecast. Use the trend across quarters for direction, not a single number for the future.
• Reading it once and never again. New QCEW quarters and a fresh CBP year drop on a schedule. A refresh keeps the territory map honest as the market moves.

That standard is a workflow, not a slogan. The government hands you the hardest part for free: a count of where your buyers work and a map of how they get there. Fix your industry codes, rank the counties by jobs and sites, draw the commute shed, confirm the firm mix, and let the map decide the territory. When you are ready to turn the read into a site, a channel plan, and a coverage strategy, see who we serve for how the work is priced by your industry and your stage, and the multi-location SEO guide for building on top of the map you just made.