History · 3 years
Overview · Mood index · updated daily
About the Wage Inflation Sentiment
Machine-learning analysis of wage growth and labor cost discussions - tracking worker bargaining power, wage-price spiral risk, and employer hiring cost sentiment across sectors.
Consumer sentiment indicators track narrative shifts across spending categories, not just headline retail data. Category-level Awareness spikes often precede sector earnings revisions by four to six weeks as analyst coverage catches up to on-the-ground sentiment shifts. Sentiment divergences across related categories (e.g., healthcare rising, discretionary falling) can signal income-squeeze dynamics.
Key drivers
- Retail sales reports (headline and core)
- Consumer confidence surveys
- Wage growth and disposable income data
- Credit card spending and delinquency trends
- Inflation pass-through commentary and pricing power signals
Reading the Mood scale
- 0-20Now · 7Severely StressedCoverage dominated by risk-aversion signals; narrative heavily skewed toward stressed conditions.
- 21-40StressedBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60StableBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80ConfidentPositive momentum building in the narrative; coverage tilting toward confident catalysts and upside scenarios.
- 81-100Very ConfidentElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Mood score to gauge the prevailing narrative bias for Wages at a glance.
- The Awareness score flags unusual spikes in coverage - early-warning signals that often precede price moves.
- Extreme readings (0-20 or 81-100) historically mark periods of heightened volatility and potential reversals.
- Compare across related topics to find cross-asset divergences and correlation breakdowns.
- Pro subscribers can view 3 years of history to calibrate thresholds against past market regimes.
This index is frequently referenced alongside wage inflation sentiment, labor cost trends, ai services inflation, internet wage discussions, alternative data labor - helping traders and analysts track Wages mood shifts in real time.
Latest news
Wages in the news
The headlines feeding this index, newest first.
India EPFO raises wage ceiling to ₹25,000
India has widened compulsory EPFO coverage to monthly wages of ₹25,000 from ₹15,000, a move that could bring more than 51 lakh workers into the formal retirement system and lift payroll costs for employers while improving long-term savings for employees.
Read morePrague wages stay highest in Czech Republic survey
Prague remains the clear wage leader in the Czech Republic, with pay for the same job running as much as a third above offers in other regions, according to a new salary survey from Grafton Recruitment and Gi Group.
Read moreBulgarian Radio Musicians Push for Higher Pay
Low pay at Bulgaria’s national broadcaster is threatening the future of its music ensembles just as the country prepares to join the euro, raising the risk that a cultural institution built over decades could lose musicians faster than it can replace them.
Read moreBrazil Bolsa Família payment rises to R$691
Brazil’s Bolsa Família welfare program will rise to the equivalent of 48% of the minimum wage after President Luiz Inácio Lula da Silva approved a 15% adjustment, a move that boosts household income support ahead of October’s election but adds to concerns over the budget and debt path.
Read moreMontenegro plans 1,400 euro minimum wage by 2027
Montenegro is aiming to lift its highest minimum wage to 1,400 euros a month from Jan. 1, 2027, a sweeping pay reform that could raise incomes for more than 250,000 workers but also tests how far a small Balkan economy can push wages without damaging hiring or public finances.
Read moreBulgaria minimum wage talks face union resistance
Bulgaria’s push to set a minimum wage of 672 euros and above is running into early resistance, with a leading union chief warning that employers and labor are unlikely to reach agreement under the government’s new formula.
Read moreCasa Mendes Gonçalves buys homes for workers
Portugal’s wage debate is shifting from a cost issue to a growth strategy, and Casa Mendes Gonçalves is making that case with cash, housing and ownership.
Read moreFlorida minimum wage rises to $15 on Sept. 30
Florida’s minimum wage is set to rise to $15 on Sept. 30, a change that could squeeze restaurant margins, force staffing cuts and accelerate automation across one of the country’s most labor-sensitive consumer markets.
Read moreNigeria Minimum Wage Falls Behind Inflation
Seyi Makinde’s claim that Nigeria’s current N70,000 minimum wage buys less than the old N18,000 floor underscores a deeper problem for policymakers: nominal pay gains have been overwhelmed by inflation, especially after subsidy removal pushed up transport and living costs.
Read moreEgypt inflation eases as households remain under strain
Egypt’s economy may be showing signs of stabilization, but for households the lasting damage from years of inflation is still the main story: savings have been eroded, real wages have fallen and the cost of everyday life has risen far faster than incomes.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Wages index?
Machine-learning analysis of wage growth and labor cost discussions - tracking worker bargaining power, wage-price spiral risk, and employer hiring cost sentiment across sectors.
How is the Wages index calculated?
The Wages index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Severely Stressed) to 100 (Very Confident), where 50 represents stable conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the Wages index updated?
The underlying data pipeline runs once per day. However, the gauge and score displayed on this page reflect a processed snapshot that may be 3–24 hours behind real-time, depending on the topic's update cadence and how quickly new data clears the processing pipeline. The exact timestamp of the data shown is visible in the gauge footer - hover the info icon to see it in your local time.
Why does the gauge show data from a few hours ago?
The gauge reflects a processed data snapshot, not a live feed. Depending on the topic, displayed values can be 3–24 hours behind real-time - fast-moving topics (crypto, equities) update more frequently, while slower-cycle topics (macro, real estate, geopolitics) may have a longer lag. The precise data timestamp is always visible in the gauge footer: hover the info icon to see it in your local time.
Why use sentiment analysis?
Sentiment uses natural language processing to analyze and quantify investors' opinions, which is different from traditional indicators like volatility (VIX), volume, or price trends. This gives you an edge over others who rely solely on price-based data.
How to interpret the figures?
The gauges show the latest indicator percentiles for the last two quarters. Values above 50 mean an upward trend, while below 50 means a downward trend. A reading above 70% signals greed, and below 30% signals fear. When price and sentiment trends diverge, it's a strong sign the trend will continue.
What does awareness represent?
Besides sentiment, we also provide a measurement of awareness - an indicator of media activity expressed as a ratio of topic-dedicated data compared to the total. Values over 50 indicate an increasing media trend and growing investors' interest; less than 50 signals decreasing attention.
What is sentiment analysis and why measure it?
Sentiment analysis is a way to determine whether a piece of text is positive, negative, or neutral. It helps understand how people feel about a topic or product, which is very important for investment, revenue management, and gauging public opinion. It adds important data points to the decision process and is valuable input for many statistical and AI models.
What are some of the key data characteristics?
Raw signals are gathered from proprietary sources covering over 50,000 outlets and ingested every 15 minutes. Processed gauge readings are derived from these signals but are displayed with a delay of 3–24 hours depending on the topic - the exact data timestamp is always shown in the gauge footer. The platform includes 5 years of history, supports 72 languages, and processes over 1 million unique entries daily. Adalytica maintains over 99.5% uptime across all products and data services.
Who benefits the most from the sentiment data?
The products are widely used across various industries, including finance, real estate, cryptocurrency, commodities, and government. They provide tailored insights for tasks like tracking voter sentiment, optimizing investment strategies, or monitoring brand perception. We offer products that are tailored for both beginners and advanced data professionals.