The Consumer Confidence Index (CCI), published monthly by The Conference Board, records how a rotating sample of a few thousand U.S. households describe current business and job conditions and what they expect six months ahead. Its two published components, the Present Situation Index and the Expectations Index, sit alongside a sibling instrument, the University of Michigan’s Index of Consumer Sentiment, which asks comparable questions of a smaller sample with different wording. Both are attitude surveys. Neither measures spending, income, or employment, and neither is a forecast in any formal sense. That distinction is the subject of this article, because the most common failure in coverage of these releases is treating a stated opinion, collected during a specific field window, as a prediction of consumer behavior. We will read the actual release tables, examine what the 2022 divergence demonstrated, and set out how to chart sentiment data without claiming more than the instrument can support.
What the Consumer Confidence Index Actually Measures
The Conference Board fields the survey each month on a probability-design household sample, with fieldwork conducted by Nielsen on the board’s behalf. Five questions drive the headline index. Respondents rate current business conditions in their area; say whether they expect those conditions to be better, the same, or worse six months out; say whether jobs are plentiful, not so plentiful, or hard to get; give the same six-month expectation for employment; and say whether they expect total family income to rise, hold steady, or fall over the next six months. Favorable, neutral, and unfavorable shares are netted into relative scores and combined so that the 1985 annual average equals 100. The release lands on the last Tuesday of the month at 10 a.m. ET, and the press tables include the headline index, both subindices, breakdowns by age and income, and buying-plan percentages for homes, autos, and major appliances.
The five questions and the arbitrary 1985 base
The 1985=100 convention is a fixed historical benchmark, which means the index’s units are arbitrary. A level of 100 is not “full confidence,” zero is not “no confidence,” and a 10 percent decline in the index is not a 10 percent decline in anything observable. This matters for chart practice: percentage-change charts of the CCI imply a denominator that does not exist. Index points, standardized deviations from the series’ own history, or plainly annotated levels are all defensible; “confidence fell 12 percent” is not, because there is no quantity of which 12 percent was lost. When I see a percent-change axis on a fixed-benchmark index, my first check is whether the chart maker understood what was being measured at all.
Two instruments inside one release
The Present Situation Index aggregates the two current-conditions questions, including the jobs item — which makes it, in practice, a small monthly labor-market poll. The Expectations Index aggregates the three forward-looking questions, which record opinion about the future rather than observation of the present. The two components behave differently and deserve different headlines. A decline led by the Present Situation Index is a statement about conditions respondents can see — hiring at local employers, the availability of jobs in their area. A decline led by Expectations is a statement about the news environment and its salience. The release’s own tables provide the split; the first thing to check after any headline move is which subindex carried it.
The Michigan Sibling: Same Idea, Different Instrument
The University of Michigan’s Surveys of Consumers, run by the Survey Research Center since the late 1940s and monthly since 1978, publishes the Index of Consumer Sentiment alongside two components — the Index of Current Economic Conditions and the Index of Consumer Expectations — plus median year-ahead and five-to-ten-year inflation expectations. For each core question, the survey office computes a relative score: the share of favorable answers plus half the share of neutral answers. The core questions are averaged and rescaled so that the first quarter of 1966 equals 100. A preliminary reading arrives mid-month and a final reading at month-end, based on several hundred completed interviews in a typical month. Both surveys weight responses to population benchmarks described in their methodology notes.
Why the two indices disagree
- Wording. The Conference Board frames several questions around conditions “in your area”; Michigan asks about expected business conditions in the country as a whole and devotes separate questions to personal finances and buying conditions for durable goods. Different questions produce different levels. That is expected, not anomalous.
- Benchmarks. 1985=100 versus 1966:Q1=100 means the levels are not comparable, and the two series cannot be spliced onto one axis without inventing a conversion that does not exist.
- Composition and partisanship. Published analyses of the Michigan microdata files have documented a widening partisan split since the mid-2010s: self-identified partisans rate the same economy very differently depending on which party holds the White House. The months after the November 2024 election offered a clean example — sentiment among Republican respondents surged, sentiment among Democratic respondents moved sharply lower, and the headline average changed little because the shifts largely offset. An aggregate that nets across opposite partisan moves is measuring something different from what most readers assume it measures.
- Salience. In my own chart reviews, the closest visual companion to the sentiment series is the price of gasoline. Plot FRED series UMCSENT against GASREGW (weekly regular retail gasoline) and the 2022 trough in sentiment lands in the same weeks that the national average crossed $5 per gallon. That is a correlation with a salient price, and it says more about what respondents were noticing than about what they planned to buy.
The 2022 Test: Record-Low Sentiment, Rising Spending
In June 2022 the Michigan index closed at 50.0 — the lowest monthly reading in the survey’s history, below its 2008–09 trough — and the Conference Board series fell sharply through the same stretch. If either series were a demand forecast, the second half of 2022 would have produced a consumer-led contraction. The hard-data releases show the opposite. Real personal consumption expenditures grew over the year after inflation adjustment (BEA’s Personal Income and Outlays release, Table 7, which reports monthly real PCE percent changes, shows positive readings through most of 2022), and payroll employment rose in every month of 2022, averaging roughly 375,000 jobs per month (BLS Employment Situation, Table B-1).
The reconciliation is straightforward: the sentiment surveys measured how households felt about inflation — gasoline near $5 a gallon, grocery bills, the CPI headlines themselves — while spending decisions were governed by income growth, credit access, and balance sheets. Mood and money are separate measurements, and 2022 is the cleanest demonstration in the modern record.
Field windows sharpen the point. The June 2022 fieldwork overlapped the gasoline price peak; sentiment recovered through the second half of 2022 as pump prices fell. When a chart presents a single month’s reading as evidence about future spending, it asserts a mechanism that this episode contradicts. The honest caption is that respondents were telling the survey how they felt about prices, and the survey faithfully recorded it.
Two caveats keep this from becoming its own overcorrection. First, sentiment is not therefore useless around recessions: sustained declines that coincide with tightening credit and weakening payroll growth are a different phenomenon from a one-month print dominated by gasoline. Second, 2022 is one observation, and the claim it supports is narrow — a sentiment level is not a spending forecast — not that attitudes never affect behavior in aggregate.
How to Read and Chart the Release Without Overreading It
Sampling-error arithmetic belongs on the chart
Both series are sample surveys, and sample surveys have margins of error. A working approximation for a simple proportion at 95 percent confidence is one over the square root of the sample size. A 600-interview month implies roughly plus or minus 4 percentage points on any single underlying share; a sample of a few thousand implies roughly plus or minus 2. The Michigan release quotes the index to one decimal place, which is more precision than several hundred interviews can support, and the preliminary-to-final revision routinely moves a point or two — a useful, public measure of the series’ own noise floor. The practical rules follow: treat direction sustained over three to six months as signal; annotate field dates so readers can see which news events could and could not be inside the number; shade NBER recession dates for context; and compare a series only with its own history.
Five recurring chart failures
- Dual-axis sentiment-versus-spending charts that imply causation. Overlaying the CCI on retail sales or GDP with aligned turning points invites the reading that the first predicts the second. The 2022 episode falsifies that reading for levels. If the relationship is the story, show a scatter with explicit lags and state what correlation is being claimed; otherwise, use separate panels.
- Splicing the Conference Board and Michigan series on one axis. Different questions, different samples, different benchmarks. There is no defensible conversion. Chart one series, or put each on its own standardized scale with a clear methodological note — the first option is better.
- Percent-change axes on a fixed-benchmark index. The base is arbitrary, so percent changes are unit-free but not meaningful. Use index points or deviations from the series’ own mean.
- Truncated y-axes and chosen base dates. A five-point decline becomes a cliff when the axis begins at last month’s maximum. Show at least one full cycle, or since-2019 context, so readers can see the series’ ordinary volatility.
- Headline-only reading. The release tables publish the component split for a reason. A chart of the headline index alone hides whether the move came from conditions respondents can observe or from expectations shaped by the news cycle.
What Sentiment Data Is Actually Good For
None of this argues for ignoring the releases. It argues for using them where they have demonstrated value:
- As inputs, not outputs. Since a 2012 benchmark revision, the consumer-expectations component of The Conference Board’s Leading Economic Index has averaged the Michigan expectations index with the Conference Board’s own Expectations Index. The LEI methodology is candid that no single component carries the signal; the sentiment share is one of ten.
- Inflation expectations as a separate instrument. Michigan’s year-ahead and five-to-ten-year median inflation expectations are watched by the Federal Reserve as a check on whether expectations are staying anchored. These are separate questions with separately reported medians; do not chart them as though they were the sentiment index, and note that the median, not the mean, is the headline statistic.
- Mood nowcasting and political context. The series’ tight visual relationship with gasoline prices and its partisan structure make it useful for understanding perception — why voters rate an economy one way while measured releases describe another. For civic-data work, that gap between perception and measured conditions is itself a finding worth charting.
- Long-window, within-instrument comparison. June 2022 versus the 2008–09 trough within the Michigan series is legitimate because the instrument, wording, and base are held constant. That is the comparison the data can support.
Frequently Asked Questions
Is the Consumer Confidence Index a leading indicator of recession?
Not on its own, and its record as a standalone predictor is weak. The expectations subindex is one of ten components of the Conference Board’s Leading Economic Index, which exists precisely because single indicators fail. Sharp sentiment declines preceded some recessions, but 2011 and 2022 both produced steep drops — in 2022, a record-low Michigan reading — without a following recession. Treat it as one gauge of household mood alongside the payroll, income, and spending releases.
How is the Conference Board index different from the Michigan index?
Different sponsors, samples, question wording, benchmarks, and release timing. The Conference Board survey covers a few thousand households monthly, uses five core questions, benchmarks to 1985=100, and is released on the last Tuesday of the month. Michigan’s survey uses several hundred interviews, a broader question set including personal finances and inflation expectations, benchmarks to 1966:Q1=100, and publishes preliminary and final readings each month. Levels are not comparable across the two; only direction sometimes agrees.
Why did sentiment hit record lows in 2022 while consumer spending kept growing?
Because the surveys measure stated attitudes, not behavior. In 2022, respondents were reacting to inflation — the national average gasoline price crossed $5 per gallon in June 2022 — while actual spending followed incomes, credit, and accumulated savings. Real consumption grew over the year and payrolls rose every month. The sentiment level recorded how households felt about prices; it did not forecast what they would spend.
How large a monthly change in a sentiment index is meaningful?
Compare the move to the survey’s noise floor. With a few hundred interviews, a change of one to three index points sits within sampling error (a rough bound is one over the square root of the sample size for any single share), and Michigan’s preliminary-to-final revisions routinely move a point or two. Look for direction sustained over three to six months, check which subindex carried the move, and confirm the field window before attributing the change to any specific news event.
Where This Column Goes Next
The working thesis of this site is that sentiment releases deserve the same discipline we apply to election polling: report the margin of error, quote the question, state the field dates, and describe the weighting. The CCI and the Michigan index are polls about the economy, and they repay poll-grade scrutiny. Next in this series: a chart autopsy of dual-axis sentiment-versus-spending graphics; a walkthrough of how the expectations subindex flows into the Leading Economic Index; and a glossary entry separating attitude surveys from the measured releases at BLS, BEA, Census, and the Federal Reserve. If you have published or encountered a consumer-confidence chart you want reviewed against its source table, send it in — the table is always where the story breaks.