Understanding Economic Base Analysis

Economic base theory divides a regional economy into two parts: the basic (export) sector and the non-basic (local) sector.

The basic sector produces goods and services that are sold outside the region, bringing new money in. The non-basic sector serves local demand — restaurants, healthcare, retail, local government services. The key insight is that the basic sector is the engine: it determines the overall size and growth trajectory of the regional economy.

When an export sector grows, it creates direct jobs — but it also creates indirect jobs as those workers spend their income locally. When an export sector shrinks, the reverse happens: layoffs ripple through the local economy via reduced spending.

A Location Quotient (LQ) is the standard tool for identifying basic vs. non-basic sectors. It compares the share of employment in a given industry in a local area to the same share nationally:

• LQ > 1.0 — Export sector. The area is more concentrated than the national average, meaning it produces more than local demand requires. The surplus is "exported."
• LQ ≈ 1.0 — Balanced. Matches national proportions; produces about what it consumes.
• LQ < 1.0 — The sector makes up a smaller share of this metro's employment than it does nationally. That is a description, not a judgment. It usually means the metro is built on other industries — the ones above 1.0 — and a sector can grow strongly and still sit below 1.0 if the rest of the metro grew faster.

The export cutoff is 1.0, with no buffer. An LQ above 1.0 means the metro employs more people in a sector than its own population consumes, and that surplus is exported by definition. This is arithmetic from economic base theory, not a statistical inference — there is nothing to significance-test, and so no basis for padding the threshold.

A ratio is also the wrong instrument for significance. New York's Professional & Business Services sits at LQ 1.15 with roughly 211,600 excess jobs; Guayama, PR's Government sits at LQ 2.25 with about 2,700. A 1.2 cutoff would discard the first and keep the second. Magnitude is carried by excess employment — the count of jobs beyond what the metro needs to serve itself — not by the ratio.

Each export job typically supports two to four total jobs — the export job itself plus the local jobs its spending creates — and two and a half to nine residents. The exact multiplier depends on the industry, wage levels, and local spending patterns.

High-wage export sectors (like Professional & Business Services or Information Technology) tend to have higher multipliers because workers have more disposable income to spend locally. Lower-wage export sectors still generate multiplier effects, but smaller ones.

This is why economic development organizations focus on attracting and retaining export-sector employers: one new corporate headquarters doesn't just mean the jobs at that company; it means the restaurants, childcare centers, housing, and retail that follow.

A metro's economic base answers questions that matter to anyone weighing up a region — whether you are siting or expanding a business, evaluating a market, shaping local policy, doing research, or working out where to build a career:

• Demand drivers: What does this metro sell to the outside world? Export sectors bring in outside dollars, and each export job supports roughly two to four total jobs. Those households are what drive local demand for housing, retail and services.
• Concentration: How much of the export base sits in one sector, and which one? Washington's largest position is government; Las Vegas's is leisure and hospitality. Both are concentrated, and they behave nothing alike — what a metro is concentrated in matters more than how concentrated it is.
• Change over time: Is each location quotient rising or falling, and which side of the arithmetic moved — the sector, or the metro around it? A falling LQ does not mean a sector is shrinking. Austin's government sector added 85,000 jobs over thirty years while its LQ fell, because the rest of Austin grew faster.
• Market screening: Use LQ data to identify metros matching whatever criteria you care about — e.g., growing healthcare markets, tech hubs, or diversified economies.

This tool uses data from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) survey. CES is a monthly survey of approximately 131,000 businesses and government agencies covering about 670,000 worksites, making it one of the most comprehensive employment data sources available.

Employment figures are reported in thousands and are not seasonally adjusted (NSA). This means year-over-year comparisons are valid, but month-to-month changes include seasonal effects.

Data is organized by supersector — 10 broad industry categories that encompass all nonfarm employment. While supersectors provide a useful high-level view, they are intentionally broad. A metro with a high LQ in "Professional & Business Services" could be driven by defense contractors, management consulting, or legal services — very different economic stories.

• Broad categories: Supersectors group very different industries together. Sub-sector analysis would reveal more nuance.
• Remote work: LQ is based on where jobs are located, not where workers live. The rise of remote work means some "export" jobs may now be performed by workers living outside the metro.
• Job quality: LQ measures job counts, not wages. A high LQ in Leisure & Hospitality means different things for local income than a high LQ in Financial Activities.
• Metro definitions: MSA boundaries are defined by the OMB and may not match the economic geography a local observer would draw. Metro divisions provide finer detail but aren't available everywhere.
• Snapshot in time: LQ reflects current structure, not trajectory. Always pair with trend data (available on each metro page) to see the direction of change.