gdp-growth

Consumer Confidence (MoM)

Normalized month-over-month change in OECD composite consumer confidence indicator. Positive = improving sentiment.

0.09▲ 0.14
As of 2025-12-01 · OECD

Historical Data

Dec 2000Nov 2002Oct 2004Jul 2006Apr 2008Mar 2010Feb 2012Jan 2014Dec 2015Nov 2017Oct 2019Jul 2021Apr 2023Dec 2025-2.5-1.7-0.80.00.8

What Is Consumer Confidence?

Consumer confidence is a survey-based measure of how households feel about the current state of the economy and their expectations for the future. Each month, a representative sample of households is asked about their perceptions of present business conditions, the labour market, and their personal financial situation, as well as their expectations for income, employment, and economic activity over the coming six to twelve months. The responses are aggregated into an index that serves as a barometer of household sentiment — and, by extension, a forward-looking signal for consumer spending, which typically accounts for more than half of GDP in advanced economies.

The logic is intuitive. When households feel secure in their jobs and optimistic about the future, they are more willing to spend on discretionary goods, take on debt for large purchases like homes and cars, and invest in education or home improvements. When confidence deteriorates — because of rising unemployment, falling asset prices, or geopolitical uncertainty — households pull back, save more, and defer non-essential purchases. Because consumer spending is the single largest component of aggregate demand, shifts in confidence can have meaningful consequences for overall economic growth.

Consumer confidence surveys have a long pedigree. The earliest systematic measures date to the late 1940s, and today virtually every advanced economy and many emerging markets publish at least one consumer confidence index. The most widely followed surveys distinguish between a present-situation component and an expectations component, since these capture different aspects of household behaviour. The present-situation index reflects current spending power; the expectations index anticipates future spending decisions and has historically been the stronger leading indicator.

How It Is Calculated

Consumer confidence indices are typically constructed from a small number of survey questions. Respondents classify conditions as positive, neutral, or negative, and the results are combined into a net balance or diffusion index.

A common construction uses the net balance approach:

\text{Net Balance}_j = (\text{% Positive}_j) - (\text{% Negative}_j)

where jj indexes individual survey questions. The composite index is then formed as an average of the net balances, often rescaled to a convenient base. Some indices add 100 to the average net balance so that readings above 100 denote above-average optimism. Others use a base-year normalisation so that the index equals 100 in a reference period.

Present Situation and Expectations

Most major consumer confidence surveys publish at least two sub-indices alongside the headline composite:

Composite=α⋅Present Situation+(1−α)⋅Expectations\text{Composite} = \alpha \cdot \text{Present Situation} + (1 - \alpha) \cdot \text{Expectations}

The weight α\alpha varies by survey. The present-situation component asks about current job availability and business conditions and is closely correlated with contemporaneous employment and spending data. The expectations component asks about anticipated conditions six months ahead and is the more powerful predictor of future spending and GDP growth. Divergence between the two — for example, a strong present-situation reading paired with deteriorating expectations — often signals a turning point in the business cycle.

Seasonal Adjustment

Consumer sentiment displays seasonal patterns tied to holiday periods, tax-refund seasons, and academic calendars. Statistical agencies apply seasonal adjustment to the raw responses to ensure the index captures genuine shifts in mood rather than predictable calendar effects.

How to Read the Numbers

Because index construction varies across survey providers, absolute levels are not comparable between different surveys or countries without harmonisation. The table below offers a general interpretive guide for indices centred on a long-run average of 100.

Index levelInterpretation
Above 105Households strongly optimistic — spending growth likely robust
100 – 105Above-average confidence — consumers willing to spend on discretionary items
95 – 100Below-average confidence — households becoming cautious, spending may slow
90 – 95Notably pessimistic — significant restraint on discretionary spending
Below 90Crisis-level pessimism — deep consumer retrenchment, consistent with recession

The rate of change often matters more than the level. A rapid decline from 108 to 98 over three months — even though 98 is only modestly below average — signals a sharp deterioration in household expectations that may soon translate into weaker retail sales, falling auto purchases, and softer housing demand. Conversely, a gradual climb from 92 to 97, while still below average, suggests the worst is behind and spending is stabilising.

Context also matters. Confidence can be depressed for structural reasons — stagnant wages, high household debt, housing-market weakness — rather than cyclical ones. In such cases, a persistently low index may not herald imminent recession but rather a prolonged period of subdued consumption growth. Analysts must cross-reference the confidence survey with hard data on spending, income, and employment to determine which story fits.

Economic Significance

Consumer confidence influences the economy through two channels: information and sentiment. The information channel reflects the fact that households possess direct knowledge about their own financial circumstances — job security, wage prospects, debt burdens — that may not yet be captured by official statistics. When many households simultaneously report that conditions are worsening, the aggregate signal often foreshadows a slowdown that hard data will confirm one or two quarters later.

The sentiment channel operates independently of fundamentals. Even when objective conditions have not yet changed, a shift in the collective mood — driven perhaps by alarming news coverage, financial-market turbulence, or political uncertainty — can alter behaviour. If households believe a recession is coming, they cut spending; the resulting fall in demand can push the economy toward the very recession they feared. This feedback loop between expectations and outcomes gives consumer confidence a causal role in the business cycle, not merely a predictive one.

Central banks monitor consumer confidence as part of their assessment of the demand outlook. A sharp deterioration in household expectations, especially when accompanied by rising saving rates and falling durable-goods orders, may tip the balance toward a precautionary rate cut. Conversely, buoyant confidence during a period of already-strong growth may reinforce concerns about overheating and strengthen the case for tightening. The expectations component receives particular attention because it has proven to be a useful predictor of spending one to two quarters ahead.

Fiscal policymakers are also attentive. Consumption taxes — value-added tax, goods and services tax, sales tax — generate revenue that is highly sensitive to household spending. A collapse in consumer confidence that presages a spending pullback will, with a lag, feed through to lower tax receipts and wider fiscal deficits. Governments designing stimulus packages often target consumer confidence explicitly, hoping that measures such as tax rebates or transfer payments will stabilise sentiment and prevent a downward spiral.

For businesses, consumer confidence surveys offer advance warning of demand shifts. Retailers adjust inventory orders, automakers calibrate production schedules, and homebuilders revise project pipelines based in part on confidence readings. Marketing and advertising strategies may also be adapted: during periods of low confidence, firms tend to emphasise value and reliability; during high-confidence periods, they lean into aspirational messaging and premium positioning.

The academic literature broadly supports consumer confidence as a useful, if imperfect, leading indicator. It tends to add predictive power for spending even after controlling for income, wealth, and interest rates, suggesting that sentiment carries independent information. However, it is subject to measurement noise, political bias, and occasional detachment from underlying fundamentals, which is why economists never rely on it in isolation.

Related Indicators

Why it matters

Consumer willingness to spend drives 60% of GDP.

Frequency: monthly
Units: percent change
Seasonal adj.: sa
Importance: 6/10