US Money Search Trends: September 2026 Query Sample

Highest-scoring terms in this sample

The top 15 terms not flagged by our brand filter. Scores compare each term's mean Google Trends interest with the anchor "emergency fund" = 100. A score of 200 is approximately twice the anchor's mean relative interest, not 200 searches.

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What the sample covers

We selected finance terms for Payney's editorial planning. The table counts the 218 unflagged terms in that selection. Topic sizes depend on the seed list and expansions; they are not shares of US searches. Related terms can cover overlapping searches, so we do not add their scores into a market-share chart.

Terms with a higher recent mean

Recent difference = (cached momentum ratio − 1) × 100. For example, +15% means the last 12 returned observations averaged 1.15 times the full-series mean. It is not a comparison with the previous month. This screen includes unflagged terms with score ≥ 5 and ratio ≥ 1.15, ordered by ratio.

Terms with a lower recent mean

This screen includes unflagged terms with score ≥ 5 and ratio ≤ 0.60, ordered by ratio. A negative value is a lower recent mean; the saved aggregates cannot show when a peak occurred or explain its cause.

Terms containing calculator or estimator

The highest-scoring 8 unflagged terms matching those words. Their presence suggests topics to investigate for practical answers; it does not measure a preference for tools over explanations.

Brand-filtered terms

Our name filter flagged 17 terms, excluded from the rankings above. The filter is heuristic and may miss brands or flag ambiguous wording. The five highest-scoring flagged terms are shown here; all flags are retained in the downloads.

Method and limitations

Collection dates (UTC): 78 terms on 2026-09-02; 157 terms on 2026-09-07. The edition contains 235 positive-scoring terms. Excluded cache entries: zero score: 112. New editions accept valid scores collected within 31 days of the snapshot; zero scores are omitted, not interpreted as zero demand.

Payney expands editorial finance seeds using Google Autocomplete and scores terms in batches of four plus the anchor. The scanner requests US interest over time with a trailing 12-month window. Score = 100 × mean(term) / mean(anchor), rounded to one decimal. Momentum = mean(last 12 returned observations) / mean(all returned observations), rounded to two decimals. Percentages above are derived from that rounded ratio.

The saved cache contains aggregate scores and retrieval timestamps, not the underlying time series. Its exact observation dates, sampling frequency and partial-period flags were not retained, and the scanner did not explicitly exclude partial observations. We cannot reconstruct those details or verify seasonal explanations from this export. Separately sampled batches, rounding and differing collection dates limit cross-term precision.

Google Trends provides sampled, normalized interest, not search counts or a poll. Low-volume terms can show zero and noise can affect small signals. Autocomplete is filtered and is not a comprehensive list of popular terms. See Google's data explanation.

These are Trends search terms, not mutually exclusive exact queries. Unquoted multiword terms can include additional words and different word order; related terms can overlap. See Google's search-term rules. This selected sample does not measure total US finance demand, unique people, keyword competition or ranking potential. Changing samples and trailing windows also prevent a simple month-to-month growth comparison.

Download and cite

Download scored terms (CSV) or download the frozen snapshot and methodology (JSON). Both contain 235 rows, including collection timestamp, anchor and brand/tool flags. These are Payney's aggregate calculations, not Google's original time series. Each edition keeps its saved inputs when the report is rebuilt.

Payney's original analysis is available under CC BY 4.0. Source data is from Google Trends and remains subject to Google's terms; include Google attribution when reusing it, as explained in Google's citation guidance. Suggested citation: Payney, "US Money Search Trends: September 2026 Query Sample", collected 2026-09-02 to 2026-09-07. Data source: Google Trends; analysis: Payney. https://payney.com/reports/money-searches-2026-09/.