US consumer expectations intelligence (monthly)
Monthly US consumer-expectations intelligence built as an intelligence layer over the Federal Reserve Bank of New York's Survey of Consumer Expectations (keyless workbook download, FRBNY license): a month x indicator long panel of inflation / commodity / home-price / earnings expectations, labor-market fear gauges, household-finance expectations and market/fiscal expectations, with month-over-month and year-over-year momentum, 36-month z-scores and record flags, plus documented 0-100 de-anchoring-risk, labor-fear, household-strain and composite consumer-expectations scores, inflation-disagreement and demographic divergence gauges.
- Rows
- 5,088
- Columns
- 16
- Source cadence
- Monthly
- Last refreshed
- Sep 28, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| as_of | string | Latest published SCE month (YYYY-MM); month-granular as-of stamping so identical upstream input yields an identical content hash. |
| month | string | Observation month (YYYY-MM) of the indicator value. |
| country | string | Canonical country name (United States) for every row. |
| country_code | string | ISO 3166-1 alpha-3 code for the United States (USA) — the join key for the 'Enrich with public data' feature. |
| indicator_code | string | Stable machine key of the indicator (e.g. infl_exp_1y_median). |
| indicator_label | string | Human-readable indicator label from the SCE workbook. |
| indicator_family | string | Indicator family: inflation, commodities, housing, labor, household_finance, markets_rates, fiscal, composite. |
| value | float | Indicator value for the month: percent for expectations/probabilities, percentage points for derived gaps, 0-100 for documented scores. |
| unit | string | pct | pp | index_0_100. |
| mom_change | float | Month-over-month change in native units (null for the first month). |
| yoy_change | float | Year-over-year change in native units (null for the first 12 months). |
| z_36m | float | Trailing-36-month z-score (min 24 observations); null until the window is populated. |
| record_high_36m_flag | float | 1 when the value is the trailing-36-month maximum. |
| record_low_36m_flag | float | 1 when the value is the trailing-36-month minimum. |
| source_sheet | string | SCE workbook sheet the indicator was read from ('derived' for computed). |
| row_hash | string | SHA-256 (16 hex chars) over source, indicator, month and value; identical input yields an identical hash, so a re-run on unchanged upstream data is a no-op. |
First 10 sample rows — a preview, not the complete dataset.
| as_of | month | country | country_code | indicator_code | indicator_label | indicator_family | value | unit | mom_change | yoy_change | z_36m | record_high_36m_flag | record_low_36m_flag | source_sheet | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-08 | 2013-06 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.091 | pct | — | — | — | 0 | 0 | Inflation expectations | 56023165267b3d47 |
| 2026-08 | 2013-07 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.163 | pct | 0.072 | — | — | 0 | 0 | Inflation expectations | 5a4eb9d1251c4337 |
| 2026-08 | 2013-08 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.395 | pct | 0.233 | — | — | 0 | 0 | Inflation expectations | a2abbf8fd459c996 |
| 2026-08 | 2013-09 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.367 | pct | -0.028 | — | — | 0 | 0 | Inflation expectations | ba337b3bb88e1695 |
| 2026-08 | 2013-10 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.175 | pct | -0.193 | — | — | 0 | 0 | Inflation expectations | 4bf2b8b3faefe13a |
| 2026-08 | 2013-11 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.197 | pct | 0.022 | — | — | 0 | 0 | Inflation expectations | ae70a4de0720e9d2 |
| 2026-08 | 2013-12 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.138 | pct | -0.059 | — | — | 0 | 0 | Inflation expectations | 00908d2a21a83167 |
| 2026-08 | 2014-01 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3 | pct | -0.138 | — | — | 0 | 0 | Inflation expectations | 463553fb0bf60515 |
| 2026-08 | 2014-02 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.091 | pct | 0.091 | — | — | 0 | 0 | Inflation expectations | 662843f4b80c0d64 |
| 2026-08 | 2014-03 | United States | USA | infl_exp_1y_median | Median 1-year-ahead expected inflation rate | inflation | 3.197 | pct | 0.106 | — | — | 0 | 0 | Inflation expectations | 9d27d3d257d64d94 |
- Current
20260928T003939Z-7aec48ef56a4 · sha256 7aec48ef56a4…
5,088 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/nyfed_sce_intel/us_consumer_expectations_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nyfed_sce_intel/us_consumer_expectations_monthly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/nyfed_sce_intel/us_consumer_expectations_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260928T003939Z-7aec48ef56a4 and its content hash, so readers get exactly the data you used.
NY Fed Survey of Consumer Expectations — US consumer expectations intelligence. (2026). US consumer expectations intelligence (monthly) [Data set, snapshot 20260928T003939Z-7aec48ef56a4, sha256 7aec48ef56a4]. Datazimuts. Retrieved 2026-09-28, from https://datazimuts.com/en/datasets/nyfed_sce_intel/us_consumer_expectations_monthly?snapshot=20260928T003939Z-7aec48ef56a4
@misc{dz_nyfed_sce_intel_us_consumer_expectations_7aec48ef,
title = {{US consumer expectations intelligence (monthly)}},
author = {{NY Fed Survey of Consumer Expectations — US consumer expectations intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/nyfed_sce_intel/us_consumer_expectations_monthly?snapshot=20260928T003939Z-7aec48ef56a4}},
note = {Snapshot 20260928T003939Z-7aec48ef56a4, sha256 7aec48ef56a42d1d5a078b8334462cbeeac9ab4361e51bf02858e4d1a8b4c410; accessed 2026-09-28}
}Embed a table or a chart
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