A location quotient is a ratio that compares an industry's share of local employment to its share of national employment, measuring how concentrated that industry is in a given market. A location quotient above 1.0 signals concentration greater than the national average, and below 1.0 signals under-representation relative to the nation.
How a Location Quotient Works
A location quotient works by dividing an industry's local employment share by its national employment share. Analysts first calculate local industry employment as a fraction of total local employment, then the same fraction nationally, then divide the local ratio by the national ratio. The result is a single benchmarked number.
The U.S. Bureau of Labor Statistics defines the calculation in three steps using its Quarterly Census of Employment and Wages (QCEW): divide local industry employment by total local employment, divide national industry employment by total national employment, then divide the first ratio by the second. The formula is:
LQ = (local industry employment / total local employment) / (national industry employment / total national employment)
Consider a metro with 18,000 warehousing jobs out of 900,000 total jobs, a 2.0% local share. Nationally, warehousing holds roughly 1.2% of employment. The location quotient is 2.0% divided by 1.2%, which equals 1.67. Warehousing is 67% more concentrated in that metro than in the country as a whole.
Per the BLS, a location quotient equal to 1.0 means the industry holds the same employment share locally as nationally. A value above 1.0 means the local area is more specialized in that industry, and a value below 1.0 means it is less specialized. The measure is relative, always benchmarked against the national base.
Why a Location Quotient Matters
A location quotient matters because it isolates the industries a market actually exports, which are the demand drivers that fill space and pay rent. In economic base analysis, an industry with a location quotient well above 1.0 likely produces more than the local population consumes and sells the surplus outside the region, importing income that supports local demand.
For an operator underwriting a market, the location quotient separates base employment from local-serving employment. A metro concentrated in logistics, technology, or life sciences carries a different long-run demand profile than one whose jobs mirror the national mix. Many analysts treat a value in the range of 1.2 to 1.25 as a working threshold for flagging an export or basic industry, though the cutoff is a convention, not a fixed rule. Reading the location quotient tells an underwriter whether tenant demand rests on a durable regional specialty or on employment that merely tracks the population.
Example
A location quotient is best read across several industries at once, comparing each local employment share to its national counterpart. The table below shows four industries in a single metropolitan market and the resulting location quotient for each.
Industry | Local employment share | National employment share | Location quotient |
|---|---|---|---|
Warehousing and storage | 2.0% | 1.2% | 1.67 |
Leisure and hospitality | 14.0% | 11.0% | 1.27 |
Finance and insurance | 3.5% | 4.0% | 0.88 |
Health care | 12.0% | 14.0% | 0.86 |
Warehousing at 1.67 and leisure at 1.27 are the market's concentrated, likely export-driving sectors. Finance at 0.88 and health care at 0.86 are under-represented relative to the nation. An investor screening this metro reads it as a logistics and tourism economy, not a financial center, and underwrites tenant demand and rent growth to those base industries.
Variations and Edge Cases
A location quotient can mislead in several situations, and each variant needs care before the number drives a decision. Very small industries produce unstable ratios, non-employment bases change the meaning, and a market that differs structurally from the nation can distort every reading. The table lists the common cases.
Variant | Treatment |
|---|---|
Thin industries | Small local employment counts make the ratio volatile and easily skewed |
Alternate base measures | Location quotients can use wages, establishments, or output instead of employment |
Reference area choice | Benchmarking to a state or region instead of the nation changes every value |
Structural mismatch | A market unlike the national economy can read high or low for reasons unrelated to specialization |
Suppressed data | Confidentiality gaps in industry counts can force estimation or exclusion |
A location quotient is only as reliable as the employment counts feeding it. Always confirm the base measure and reference area before comparing values across reports.
Location Quotient vs Employment Concentration
A location quotient is often confused with raw employment concentration, and the difference is the benchmark. Employment concentration is an absolute figure: the share or headcount an industry holds in a local market, read on its own. A location quotient is a relative figure: that same local share divided by the national share, so it states specialization against a common baseline.
The distinction changes the conclusion. An industry can be a large employer locally yet still carry a location quotient below 1.0 if it is even larger nationally, meaning the market is under-specialized despite the headcount. Health care in the example above is the second-largest sector at 12.0% but reads 0.86 because the nation is more concentrated in it. Employment concentration tells an operator how big an industry is locally; the location quotient tells them whether that size is unusual.
Frequently Asked Questions
What is a location quotient? A location quotient is a ratio that compares an industry's share of local employment to its share of national employment. A value above 1.0 means the industry is more concentrated locally than nationally, and a value below 1.0 means it is less concentrated. It measures regional specialization against a national benchmark.
How is a location quotient calculated? Divide local industry employment by total local employment, divide national industry employment by total national employment, then divide the first ratio by the second. The Bureau of Labor Statistics uses this three-step method with its Quarterly Census of Employment and Wages data to produce location quotients by industry and area.
What does a location quotient above 1.0 mean? A location quotient above 1.0 means an industry holds a larger share of local employment than it does nationally, indicating the market is specialized in that industry. Analysts often treat values above roughly 1.2 to 1.25 as a sign of an export or basic industry that brings outside income into the region.