Why It Matters
When you see a news headline saying "the U.S. added 180,000 jobs last month," that number comes from CES. It's the BLS program that surveys about 145,000 businesses monthly and produces nonfarm payroll counts by industry, state, and the largest metros. For real estate investors, CES answers the question "how many jobs exist in this metro, and is the number growing?" That's the employment-side partner to LAUS, which answers "what's the unemployment rate?" Use both: CES for job count and industry mix, LAUS for the unemployment rate and labor force participation. When they diverge — payroll growth rising while unemployment also rises — the labor force is expanding, which is useful context.
At a Glance
- What it is: The BLS monthly survey of employer payrolls, producing nonfarm job counts by national, state, and major metro geography.
- Why it matters: CES is where the headline "monthly jobs number" comes from. For metros, it's the source of "Columbus added 25,000 jobs YoY" type claims.
- How to use it: Pull monthly nonfarm payroll for your target metro. Check YoY change against national YoY to assess relative strength. Industry breakdowns reveal concentration risk.
- Survey size: ~145,000 businesses and government agencies, covering ~697,000 worksites.
- Geography: National + all 50 states + DC + about 450 metros. Smaller metros don't get CES.
How It Works
What CES actually measures. CES is the Bureau of Labor Statistics program that surveys employer payrolls to produce nonfarm employment counts. Every month, BLS contacts a sample of about 145,000 businesses and government agencies and asks two questions: how many people were on payroll during the reference pay period, and what did they earn? The result is the monthly "nonfarm payroll" number you see in every business news cycle. CES produces data at three geographic levels: the national level (headline monthly number), all 50 states plus DC, and about 450 metros — roughly the largest. Full methodology documentation lives at BLS's CES page, which is the authoritative technical reference. History of BLS is at Wikipedia.
CES vs LAUS — establishment vs household. These two BLS programs both measure labor but answer different questions from different angles. CES is "establishment-based" — it asks employers how many people they paid. LAUS is "household-based" — it uses the Current Population Survey which asks people whether they're working. They can diverge meaningfully. CES counts multiple-jobholders multiple times (each payroll is a separate count); LAUS counts each person once. CES misses self-employed workers, farmworkers, and most gig economy workers; LAUS captures all of them. CES lags slightly (employer surveys take time to reach BLS); LAUS publishes on the same schedule. For real estate investors, the rule of thumb: CES answers "how many jobs are here?" LAUS answers "are people working?" Use both for a full labor market read.
Industry breakdowns are the investor-relevant part. CES publishes payroll counts not just as a single number, but broken out by industry at the 2-digit and 3-digit NAICS level. For a metro, you can see payroll in construction, manufacturing, professional services, healthcare, education, retail, leisure and hospitality, and so on. The industry mix reveals the metro's economic structure: concentrated in tech (Seattle), concentrated in energy (Houston), diversified across service sectors (Columbus). A metro with 30%+ of payrolls in one industry is structurally vulnerable to a downturn in that sector. Houston in 2015 showed why — oil and gas payroll contraction rolled through the whole metro. The CES industry breakdown is where you find that concentration signal. FRED distributes the metro-level CES series by CBSA, so automating this pull is straightforward.
What CES doesn't catch. CES is a survey of payrolls, which means anyone not on a traditional payroll is invisible. Self-employed freelancers, gig economy workers (Uber drivers, DoorDash couriers), small-business owners paying themselves as distributions rather than wages — all counted in LAUS through the household survey but missed by CES. In metros with a large gig economy share, this matters. A metro where 15% of workers are gig-economy shows CES payrolls undercounting total employment by that margin. BEA regional personal income data captures self-employed income; job growth and wage growth as reported in CES only cover the traditional-payroll slice. For a complete picture: CES for payroll jobs, LAUS for unemployment rate, BEA for total income including self-employed.
Real-World Example
María Fernández cross-checks CES and LAUS for Phoenix.
María is evaluating Phoenix for her next acquisition. She pulls CES monthly nonfarm payroll for the Phoenix MSA:
- Phoenix MSA (CBSA 38060): Feb 2026 payroll = 2.42 million, +1.8% YoY
- National: +1.4% YoY payroll growth
Phoenix is outperforming national in payroll growth. She then pulls LAUS:
- Phoenix unemployment: 4.1%, up 0.2 points YoY
- National: 4.0%, up 0.1 points YoY
Now she has a nuance: payrolls are growing faster than national, but unemployment is also ticking up. The consistent reading: the Phoenix labor force is expanding faster than hiring. That's the signature of a high-migration metro — new arrivals enter the labor force before all of them find jobs. Phoenix has been a top in-migration metro for years, so this fits.
She checks CES industry breakdown: Phoenix payrolls are diversified — 20% trade/transport/utilities, 15% professional/business, 15% education/health, 12% leisure/hospitality, 9% construction, no single industry over 25%. Low concentration risk.
Verdict: Phoenix shows healthy labor demand (CES) and a growing supply side (LAUS participation rising), with diversified industry mix. Good fundamentals for a 5-10 year hold.
Pros & Cons
- Establishment-based methodology gives direct payroll counts — no estimation for most series
- Industry breakdowns at 2-digit and 3-digit NAICS reveal concentration risk
- ~450 metros covered, plus all 50 states — broad geographic reach
- Monthly frequency with a ~2 week publication lag after the reference period
- Free federal data, distributed through FRED and other portals
- Misses self-employed, gig economy, and informal workers — undercounts total employment in some metros
- Double-counts people who hold multiple jobs — each payroll is a separate count
- Monthly numbers are revised twice, so early readings shift
- Industry breakdowns at metro level get combined when samples are thin
- Only about 450 metros covered — smaller MSAs and μSAs don't have CES
Watch Out
- Revisions are big: The first CES release is the "advance estimate." It gets revised once in the following month, then again in the month after. Early readings can shift by 50-100K jobs at the national level. Don't make decisions on one month's initial number.
- Annual benchmark can move numbers substantially: Every February, BLS benchmarks CES against the more complete QCEW unemployment-insurance data. The benchmark revision can shift the prior year's jobs picture by 200-500K at the national level. Pull current data before publishing analysis.
- Metro CES and LAUS can diverge: A metro can show CES payroll growth while LAUS unemployment rises if labor force grows faster than hiring. This is a real economic signal, not an error.
- Not every metro has CES: The program covers ~450 of the ~938 CBSAs. If your target is a micropolitan area or a smaller MSA, CES may not publish for it. LAUS covers everything; CES doesn't.
- NAICS industry codes are arcane: A "professional services" payroll includes everyone from lawyers to janitors. Before concluding a metro is "services-heavy," look at the 3-digit NAICS breakdowns within the 2-digit category.
Ask an Investor
The Takeaway
CES is the establishment-side labor market count — how many jobs exist, broken down by industry and geography. Pair it with LAUS for the unemployment picture, and both with BEA regional income for the complete read. For metro underwriting: pull CES for payroll growth and industry mix, LAUS for unemployment and labor force, BEA for income. Three free federal datasets, three different angles on the same labor market.