unemployment at a glance
Latest daily volume: 22,481 (as of 2026-11-13) · Locale: EN-US
- vs ~7 days earlier: 17.2%
- vs ~30 days earlier: -2.2%
- vs ~1 year earlier: -6.3%
Topic groups: Economic Distress
- In the 12 months to Nov 13, 2026,
unemploymentaveraged 23,616 Google searches a day in the United States. - The busiest day was Jan 26, 2026, with 44,716 searches, 1.9× the daily average.
- The 30 days to Nov 13, 2026 had 603,786 searches, up 9% from the 30 days before (554,736).
- Monday is the strongest day of the week, averaging 31,317 searches, 33% above the average day.
- The 45-day forecast expects about 20,946 searches a day, close to the last 30 days' average.
Every figure is calculated from this keyword's daily Google search volume series. API access is available for subscribers. Check another keyword with the free keyword search volume checker.
Overview
Unemployment is a core economic indicator people track to understand jobs, benefits, and policy. In the United States, interest fluctuates daily. The latest daily search volume is 22,481 (as of 2026-11-13), while the rolling average monthly demand is 715,468, guiding timely content, campaigns, and market insight for marketers, analysts, and traders nationwide.
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Why Is unemployment So Popular?
Unemployment commonly refers to the macroeconomic jobless rate, an individual’s job-seeking status, and programs like unemployment insurance (UI) benefits. People search to define terms, check eligibility, apply for benefits, interpret news, or analyze markets. Intent skews informational and navigational, with transactional moments around filing claims or accessing portals. Popularity rises with labor news, policy changes, layoffs, and economic uncertainty.
Search Volume Trends
Daily data typically shows clear news-driven spikes, weekday intensity, and weekend softening. Peaks cluster around major labor headlines (e.g., monthly jobs reports), weekly UI claims updates, legislative or program changes, and widely publicized layoffs. Broader cycles—recessions, recoveries, and policy shifts—create multi-week plateaus or surges, while calmer periods bring lower, steadier baselines. Daily granularity reveals rapid sentiment shifts that monthly aggregates can mask.
How to Use This Data
Daily search volumes turn diffuse interest into precise, time-stamped signals. Use them to time content, adjust budgets, and anticipate demand or risk.
For Marketing Agencies and Content Creators
- Editorial timing: publish explainers and FAQs ahead of expected spikes; update quickly after breaking labor news.
- SEM/SEO: scale bids and budgets on spike days; target related intents (benefits, eligibility, definitions, calculators).
- Localization: watch state-level patterns to tailor landing pages and outreach.
- Measurement: tie traffic lifts to daily search interest to prove impact.
For DTC Brands
- Demand sensing: rising interest can signal caution; emphasize value, financing, and retention offers.
- Messaging: adjust tone to empathy and utility (savings, flexible terms) during spikes.
- Workforce planning: align support staffing and SLAs to anticipated inbound volume.
For Stock Traders
- Nowcasting: use daily interest as a real-time proxy for labor-market stress.
- Event trading: position around jobs reports and policy announcements indicated by search surges.
- Sector signals: watch labor-sensitive categories (consumer discretionary, staffing, retail) for correlation.
- Risk management: tighten stops or hedge when interest accelerates abruptly.
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