US Halloween 2026 seasonal-demand dimensions (NRF)
Agent-curated retail demand intelligence from the NRF 2026 Halloween Survey (Prosper Insights & Analytics, n=7,889, fielded 2026-09-01..2026-09-09, released 2026-09-29): 23 rows, one per demand dimension — headline total ($13.5B, +3.82% YoY), 4 spend categories (candy 96%/$4.1B, decorations 78%/$4.3B, costumes 71%/$4.4B, greeting cards 42%/$0.8B) with a documented 0-100 demand_score = round(50*spend/4.4 + 50*participation/100), 4 shopping channels (discount 39%, specialty 32%, online 27%, small business 13%), and 14 behavior measures: 79% expect tariff-driven price hikes, 49% start shopping in September or earlier (up from 34% in 2016), 47% use AI tools while shopping. A shop joins on event_date (2026-10-31) to calibrate October category mix, channel emphasis, and price-sensitivity messaging. Provenance: agent-curated (intel-1 run 2026-09-30); every figure cross-verified across >=2 outlets quoting the release (primary page read failed with a tool error, so no row claims a primary read). Survey expectations, not observed receipts; national panel, no geo breakdown.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 23
- Colonnes
- 21
- Cadence de la source
- Annuelle
- Dernière actualisation
- 30 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| dimension_id | string | Deterministic primary key: stable slug per demand dimension. |
| dimension_type | string | headline (survey totals), spend_category (what people buy), channel (where people buy), behavior (attitudes and actions). |
| dimension_label | string | Human-readable dimension name. |
| country_code | string | ISO alpha-3 country (always USA — national survey). |
| event_date | date | Halloween 2026 (ISO date). Join key for seasonal planning. |
| year | integer | Survey year. (unit: year) |
| value_pct | float | Reported share in percent (participation, channel share, or agreement). NULL for the headline total row. (unit: percent) |
| spend_usd_bn | float | Expected category or total spend in USD billions. (unit: USD billions) |
| yoy_vs_2025 | string | Year-over-year comparator vs 2025 as stated in the release, free text ('+3.82% (not inflation-adjusted)' / '+4.0 percentage points (42% vs 38% in 2025)'). NULL where the release states no 2025 comparator. |
| demand_score_0_100 | integer | 0-100 category demand score (spend categories only) = round(50*spend_usd_bn/4.4 + 50*value_pct/100): equal-weight composite of category spend share (normalized by the largest category, costumes $4.4B) and participation rate. |
| denominator_note | string | The population a percentage is measured on (e.g. early shoppers; $75k-$150k households); 'Ambiguous in release' where the release text does not fix it. |
| note | string | Row context: 2025 comparators, trend history, and interpretation notes from the release. |
| survey_n | integer | Survey sample size (7,889). |
| survey_conductor | string | Survey conductor (Prosper Insights & Analytics). |
| survey_field_start | date | Survey fielding start (ISO date). |
| survey_field_end | date | Survey fielding end (ISO date). |
| verification_status | string | cross_outlet_verified: figure cross-verified across >=2 independent outlets quoting the NRF release. The primary page read failed with a browser-service crash, so no row claims a primary-page read. |
| source_url | string | Canonical NRF release URL behind the survey. |
| source_domain | string | Outlet domains the row's figures were confirmed in on 2026-09-30. |
| collected_at | string | Date the figures were collected/cross-verified (ISO date). |
| row_hash | string | Deterministic row key: first 16 hex chars of sha256 over canonical row values. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| dimension_id | dimension_type | dimension_label | country_code | event_date | year | value_pct | spend_usd_bn | yoy_vs_2025 | demand_score_0_100 | denominator_note | note | survey_n | survey_conductor | survey_field_start | survey_field_end | verification_status | source_url | source_domain | collected_at | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| total | headline | Total expected Halloween spending, USA | USA | 2026-10-31 | 2 026 | — | 13,5 | +3.82% (not inflation-adjusted) | — | U.S. consumers | NRF: $13.5B total (record $13.1B in 2025); $115.14 per person vs $114.45 in 2025 (+0.60%). | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | nrf.com;talkbusiness.net;retailcustomerexperience.com | 2026-09-30 | aa23c11c93c483da |
| spend_candy | spend_category | Candy | USA | 2026-10-31 | 2 026 | 96 | 4,1 | — | 95 | Halloween celebrants | 96% of celebrants buy candy; $4.1B category spend. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | nrf.com;talkbusiness.net;abasto.com | 2026-09-30 | 18745be56fcd1ad4 |
| spend_decorations | spend_category | Decorations | USA | 2026-10-31 | 2 026 | 78 | 4,3 | — | 88 | Halloween celebrants | 78% buy decorations; $4.3B category spend. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | nrf.com;talkbusiness.net;abasto.com | 2026-09-30 | f3a4c343dda59840 |
| spend_costumes | spend_category | Costumes | USA | 2026-10-31 | 2 026 | 71 | 4,4 | — | 86 | Halloween celebrants | 71% buy costumes; $4.4B category spend (largest category). | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | nrf.com;talkbusiness.net;abasto.com | 2026-09-30 | e2f69c56d997bc5c |
| spend_greeting_cards | spend_category | Greeting cards | USA | 2026-10-31 | 2 026 | 42 | 0,8 | +4.0 percentage points (42% vs 38% in 2025) | 30 | Halloween celebrants | Greeting cards more popular this year: 42% vs 38% in 2025; $0.8B category spend. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | nrf.com;talkbusiness.net;retailcustomerexperience.com | 2026-09-30 | 611e1e056e587259 |
| channel_discount | channel | Discount stores | USA | 2026-10-31 | 2 026 | 39 | — | — | — | Halloween shoppers | Top destination: 39% of shoppers buy at discount stores. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | catenaa.com;retailcustomerexperience.com | 2026-09-30 | 2e32a829b2565a01 |
| channel_specialty | channel | Halloween / costume specialty stores | USA | 2026-10-31 | 2 026 | 32 | — | — | — | Halloween shoppers | 32% shop at Halloween/costume specialty stores. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | catenaa.com;retailcustomerexperience.com | 2026-09-30 | c3efc97406a87046 |
| channel_online | channel | Online retailers | USA | 2026-10-31 | 2 026 | 27 | — | — | — | Halloween shoppers | 27% shop online for Halloween. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | catenaa.com;retailcustomerexperience.com | 2026-09-30 | 70c9917941236854 |
| channel_small_business | channel | Local / small business | USA | 2026-10-31 | 2 026 | 13 | — | — | — | Halloween shoppers | 13% plan a purchase at a local or small business — up almost double from a decade ago. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | catenaa.com | 2026-09-30 | 08e116245dccf358 |
| behavior_early_shopping | behavior | Start Halloween shopping in September or earlier | USA | 2026-10-31 | 2 026 | 49 | — | — | — | Halloween shoppers | 49% start in September or earlier (on par with 2025); the pre-October share has grown from 34% in 2016 — Halloween is a season, not a day. | 7 889 | Prosper Insights & Analytics | 2026-09-01 | 2026-09-09 | cross_outlet_verified | https://nrf.com/blog/halloween-shoppers-find-ways-to-stretch-their-budgets | nrf.com;abasto.com;retailcustomerexperience.com | 2026-09-30 | 3096cd26fa40e091 |
- Actuelle
20260930T153021Z-15be2cf11f91 · sha256 15be2cf11f91…
23 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/nrf_halloween_demand_intel/us_halloween_demand_2026" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nrf_halloween_demand_intel/us_halloween_demand_2026").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/nrf_halloween_demand_intel/us_halloween_demand_2026
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
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Épinglé à l’instantané 20260930T153021Z-15be2cf11f91 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
NRF 2026 Halloween seasonal-demand intelligence (agent-curated). (2026). US Halloween 2026 seasonal-demand dimensions (NRF) [Data set, snapshot 20260930T153021Z-15be2cf11f91, sha256 15be2cf11f91]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/nrf_halloween_demand_intel/us_halloween_demand_2026?snapshot=20260930T153021Z-15be2cf11f91
@misc{dz_nrf_halloween_demand_intel_us_halloween__15be2cf1,
title = {{US Halloween 2026 seasonal-demand dimensions (NRF)}},
author = {{NRF 2026 Halloween seasonal-demand intelligence (agent-curated)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/nrf_halloween_demand_intel/us_halloween_demand_2026?snapshot=20260930T153021Z-15be2cf11f91}},
note = {Snapshot 20260930T153021Z-15be2cf11f91, sha256 15be2cf11f9102709267f58b3451f581ac5afe92504872195e37da11c7c82d80; accessed 2026-10-01}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=nrf_halloween_demand_intel%2Fus_halloween_demand_2026&lang=fr&theme=auto&snapshot=20260930T153021Z-15be2cf11f91&x=event_date&y=year&agg=avg" title="US Halloween 2026 seasonal-demand dimensions (NRF)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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