US item-level retail price pressure (monthly)
Monthly US item-level retail price pressure intelligence from the BLS Average Price program (keyless BLS Public Data API v2): published average retail prices for a curated staple panel (food-at-home staples plus household-energy items) in the U.S. city average and the four Census regions, with YoY / MoM percent changes, a 12-month trailing z-score of the monthly change, a documented 0-100 price-pressure score with per-month panel ranks, a regional premium gauge against the national price, and record-high / surge / deflation flags. Consistent methodology window 2018-01 onward. Caveats: AP prices are not seasonally adjusted — read single-month moves against the z-score; the latest month is preliminary and routinely revised; regional coverage is Census regions only. BLS material is public domain (commercial reuse allowed); source: U.S. Bureau of Labor Statistics.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 1 560
- Colonnes
- 20
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 1 oct. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| month | string | Reference month: first day of the month, ISO date. The panel covers the consistent methodology window 2018-01 onward (the 2017 fetch year supplies the 12-month lags). (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| region_code | string | Stable region code: united_states (U.S. city average), northeast, midwest, south, west. Join key with month and item_slug. |
| region_name | string | BLS catalog Area field value (U.S. city average, Northeast, Midwest, South, West). |
| item_slug | string | Stable item code for the curated staple panel (e.g. bread_white, milk_whole, eggs_large). Join key with month and region_code. |
| item_name | string | BLS catalog Item field value (e.g. Bread, white, pan, per lb.). |
| category | string | Curated taxonomy: bakery, dairy, protein, produce, pantry, beverages, household_energy. |
| unit | string | Published price unit (e.g. USD per lb., USD per gallon, USD per dozen, USD per kWh). |
| price | float | Published average retail price, verbatim as published by BLS (NOT seasonally adjusted). (unit: unit as listed) |
| price_yoy_pct | float | Year-over-year percent change of the published price. (unit: percent) |
| price_mom_pct | float | Month-over-month percent change of the published price. Carries normal seasonality — read it against the z-score. (unit: percent) |
| price_12m_zscore | float | Z-score of the month-over-month change against its own trailing 12 months: (mom_t - mean) / std, minimum 12 observations. The seasonality-aware momentum gauge. (unit: std devs) |
| price_pressure_score | float | Documented 0-100 composite: 100 * (0.50 * min-max(winsorized price_yoy_pct, +/-25) + 0.50 * min-max(winsorized price_12m_zscore, +/-3)), min-maxed within each month across the full (region, item) panel. Higher = hottest price pressure versus peers this month. (unit: 0-100 score) |
| price_rank | integer | Per-month rank of price_pressure_score across the full panel (1 = hottest). (unit: rank) |
| region_premium_pct | float | Regional premium gauge: (region price / national price - 1) * 100 for the same item and month. Null on united_states rows. Positive = the region pays more than the national average. (unit: pp) |
| record_high_12m_flag | integer | 1 when the price equals the trailing-12-month maximum (inclusive, minimum 12 observations). (unit: binary) |
| surge_flag | integer | 1 when price_mom_pct is at least +3.0. (unit: binary) |
| deflation_flag | integer | 1 when price_yoy_pct is negative (price falling year-over-year). (unit: binary) |
| bls_series_id | string | BLS series id behind the row (APU<area><item>). |
| row_hash | string | Deterministic 16-hex row hash of region_code + item_slug + month (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month | country_code | region_code | region_name | item_slug | item_name | category | unit | price | price_yoy_pct | price_mom_pct | price_12m_zscore | price_pressure_score | price_rank | region_premium_pct | record_high_12m_flag | surge_flag | deflation_flag | bls_series_id | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-01-01 | USA | united_states | U.S. city average | ground_beef | Ground beef, 100% beef, per lb. | meat | USD per lb. | 3,641 | — | — | — | — | — | — | 0 | 0 | 0 | APU0000703112 | 57ecb1340221ca8e |
| 2018-01-01 | USA | united_states | U.S. city average | chicken_breast | Chicken breast, boneless, per lb. | meat | USD per lb. | 3,073 | — | — | — | — | — | — | 0 | 0 | 0 | APU0000FF1101 | 60adb56e9b784d78 |
| 2018-01-01 | USA | united_states | U.S. city average | gasoline | Gasoline, unleaded regular, per gallon | fuel | USD per gallon | 2,539 | — | — | — | — | — | — | 0 | 0 | 0 | APU000074714 | 35fd827376ac5af5 |
| 2018-01-01 | USA | northeast | Northeast | ground_beef | Ground beef, 100% beef, per lb. | meat | USD per lb. | 3,568 | — | — | — | — | — | -2,005 | 0 | 0 | 0 | APU0100703112 | 780c01a569ea8f76 |
| 2018-01-01 | USA | northeast | Northeast | chicken_breast | Chicken breast, boneless, per lb. | meat | USD per lb. | 2,974 | — | — | — | — | — | -3,222 | 0 | 0 | 0 | APU0100FF1101 | d7e4a23384212cc2 |
| 2018-01-01 | USA | northeast | Northeast | gasoline | Gasoline, unleaded regular, per gallon | fuel | USD per gallon | 2,626 | — | — | — | — | — | 3,427 | 0 | 0 | 0 | APU010074714 | 378866ba570e657d |
| 2018-01-01 | USA | midwest | Midwest | ground_beef | Ground beef, 100% beef, per lb. | meat | USD per lb. | 3,688 | — | — | — | — | — | 1,291 | 0 | 0 | 0 | APU0200703112 | ec82842601cb9933 |
| 2018-01-01 | USA | midwest | Midwest | chicken_breast | Chicken breast, boneless, per lb. | meat | USD per lb. | 3,291 | — | — | — | — | — | 7,094 | 0 | 0 | 0 | APU0200FF1101 | db84bc793b9e0788 |
| 2018-01-01 | USA | midwest | Midwest | gasoline | Gasoline, unleaded regular, per gallon | fuel | USD per gallon | 2,548 | — | — | — | — | — | 0,354 | 0 | 0 | 0 | APU020074714 | 798237eba339b85d |
| 2018-01-01 | USA | south | South | ground_beef | Ground beef, 100% beef, per lb. | meat | USD per lb. | 3,239 | — | — | — | — | — | -11,041 | 0 | 0 | 0 | APU0300703112 | e28f4a4bced0db58 |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T135944Z-369e2af9999f
Mesuré- Complétude
- 95,8 %
- Lignes
- 1 560
- Colonnes
- 20
- Colonnes incomplètes
- 7
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| monthvarchar | 0 % | 84 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| region_codevarchar | 0 % | 5 | — |
|
| region_namevarchar | 0 % | 4 | — |
|
| item_slugvarchar | 0 % | 3 | — |
|
| item_namevarchar | 0 % | 3 | — |
|
| categoryvarchar | 0 % | 2 | — |
|
| unitvarchar | 0 % | 2 | — |
|
| pricedouble | 1 % | 1 252 | 1,57 → 7,44médiane 3,81 | 32 hors du 1er–99e centile |
| price_yoy_pctdouble | 12,9 % | 1 417 | -43,41 → 76,91médiane 3,68 | 28 hors du 1er–99e centile |
| price_mom_pctdouble | 2,8 % | 1 456 | -24,29 → 29,26médiane 0,3447 | 32 hors du 1er–99e centile |
| price_12m_zscoredouble | 21,2 % | 853 | -2,72 → 3,08médiane -0,006 | 26 hors du 1er–99e centile |
| price_pressure_scoredouble | 12,9 % | 1 072 | 0 → 100médiane 50,4 | 14 hors du 1er–99e centile |
| price_rankbigint | 12,9 % | 17 | 1 → 15médiane 8 | |
| region_premium_pctdouble | 20,9 % | 1 232 | -18,45 → 36,06médiane -1,52 | 26 hors du 1er–99e centile |
| record_high_12m_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| surge_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| deflation_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| bls_series_idvarchar | 0 % | 13 | — |
|
| row_hashvarchar | 0 % | 1 763 | — |
|
- Actuelle
20261001T135944Z-369e2af9999f · sha256 369e2af9999f…
1 560 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/bls_retail_price_intel/item_price_pressure_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_retail_price_intel/item_price_pressure_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)Point d’accès API : https://datazimuts.com/v1/datasets/bls_retail_price_intel/item_price_pressure_monthly
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.
Citer cet instantané
Épinglé à l’instantané 20261001T135944Z-369e2af9999f et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Bureau of Labor Statistics. (2026). US item-level retail price pressure (monthly) [Data set, snapshot 20261001T135944Z-369e2af9999f, sha256 369e2af9999f]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/bls_retail_price_intel/item_price_pressure_monthly?snapshot=20261001T135944Z-369e2af9999f
@misc{dz_bls_retail_price_intel_item_price_pressu_369e2af9,
title = {{US item-level retail price pressure (monthly)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/bls_retail_price_intel/item_price_pressure_monthly?snapshot=20261001T135944Z-369e2af9999f}},
note = {Snapshot 20261001T135944Z-369e2af9999f, sha256 369e2af9999fcb8cbd948a869b3de7723c266dec6a15cb8179e659a313b784ec; accessed 2026-10-02}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=bls_retail_price_intel%2Fitem_price_pressure_monthly&lang=fr&theme=auto&snapshot=20261001T135944Z-369e2af9999f&x=month&y=price&agg=avg" title="US item-level retail price pressure (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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