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Job Openings Filled Rate

The job openings filled rate measures the proportion of available job openings that employers successfully fill within a given time period, typically expressed as a percentage. A high rate (e.g., 85%) indicates employers are quickly finding workers to fill vacancies, signaling a tight labor market with strong worker bargaining power. A low rate (e.g., 50%) indicates vacancies are hard to fill or languish unfilled, often suggesting worker scarcity or skill mismatches.

JOLTS data and measurement

The Bureau of Labor Statistics publishes the Job Openings and Labor Turnover Survey (JOLTS) monthly, which tracks job openings, hires, quits, and other labor flow data. The job openings filled rate is derived by dividing the number of hires in a period by the sum of hires plus remaining unfilled vacancies. For instance, if an industry had 100 hires and 50 openings still unfilled at month-end, the implied filled rate is roughly 67% (100 hires out of 150 total openings exposed). However, JOLTS does not publish a single official “filled rate” number; researchers and analysts calculate it from components. The concept is straightforward: the faster employers fill openings relative to the pool of openings, the tighter the labor market.

When the job openings filled rate is high, it indicates labor scarcity. Employers are competing aggressively for workers, bidding up wages and offering better benefits. Workers have strong bargaining power; they can quit and find another job quickly. This dynamic fuels wage inflation, which can spread to broader consumer price inflation if sustained. Conversely, when the filled rate is low and openings languish unfilled, either unemployment is high (workers unavailable) or skills mismatch (openings require specialists but unemployed workers lack skills). In this scenario, workers have weak bargaining power, wages stagnate, and employers can be selective.

Relationship to unemployment and labor force participation

The job openings filled rate and unemployment rate are related but distinct. Paradoxically, both can be high simultaneously. In 2021–2022, the US experienced low unemployment (3–4%) and a high job openings filled rate, as labor shortages were severe. But high unemployment does not automatically mean unfilled openings get filled quickly; if unemployment is concentrated in regions or sectors mismatched to open positions, or if workers lack required skills, openings remain unfilled. Additionally, labor force participation matters: if workers leave the labor force (early retirement, career changes), openings go unfilled even if headline unemployment is low.

Sectoral variations

The job openings filled rate varies dramatically by sector. In 2022–2023, hospitality and leisure sectors struggled to fill openings (high openings, low filled rate), while technology faced hiring freezes (low openings, completed quickly). Healthcare and nursing have persistently high unfilled openings due to training bottlenecks and demanding physical work. Manufacturing has high openings but struggles to fill them due to skill requirements and worker reluctance. Professional services and finance typically fill openings more quickly because they compete aggressively on compensation. Aggregate rate movements can hide sectoral divergence; a rising overall rate might reflect just one hot sector, while slack persists elsewhere.

Mismatch and structural unemployment

A persistent gap between high openings and high unemployment points to a “mismatch” problem. Workers are available but lack skills or geographic proximity to jobs. A coal miner in West Virginia may be unemployed while tech jobs go unfilled in Silicon Valley. A person with a high school diploma may be unable to fill an opening requiring a nursing license or IT certification. Structural mismatch is harder to solve than cyclical unemployment; it requires retraining, relocation incentives, or long-term education. Policy makers debate whether high unfilled openings reflect mismatch (labor quality) or insufficient wages to attract workers (employer reluctance to raise pay).

Policy implications and Fed communications

The Federal Reserve watches the job openings filled rate as a gauge of labor market tightness. When the rate is high and rising, the Fed infers the labor market is overheating, which justifies interest rate increases to cool demand and bring unemployment back up. This rationale was explicit in the Fed’s 2022–2023 tightening cycle; Fed Chair Jerome Powell cited persistent labor shortages and high job openings as evidence that additional tightening was needed. Conversely, when the rate falls sharply (openings go unfilled, hires drop), the Fed interprets that as slack and may pause or cut rates.

Cyclical swings and forward-looking use

The job openings filled rate is a leading indicator. A sharp decline—employers suddenly unable to fill openings or receiving fewer applications—often precedes recession. Conversely, a rising rate signals labor demand strength. Investors and economists use JOLTS data to assess economic momentum. A rising job openings filled rate in the face of rising interest rates suggests the economy is resilient; a falling rate suggests weakness is emerging. Some analysts use the ratio of job openings to unemployment (“job openings to unemployed persons ratio”) as a simpler tightness gauge; when that ratio exceeds 1.5, there are 1.5 jobs per unemployed person, signaling extreme tightness.

Wider context