US metro weekly gasoline price intelligence
US metro weekly gasoline price intelligence from the keyless U.S. Energy Information Administration Petroleum Navigator history tables: one row per week per metro for the 10 selected metros EIA publishes weekly (Boston, Chicago, Cleveland, Denver, Houston, Los Angeles, Miami, New York City, San Francisco, Seattle), 2003 to present — the finest geography EIA publishes weekly. Each row carries the published price ($/gal), the metro's premium or discount vs the same-week US average, gap-aware week-over-week / 4-week / 52-week changes in dollars and percent (null when a comparison week is missing or not exactly 7/28/364 days earlier — never annualized or filled), the per-week cross-metro price and premium ranks, a price quintile tier, a documented 0-100 fuel-strain score (50% winsorized YoY momentum + 50% trailing-52-week range position), and sharp-move (>=5% WoW) / 52-week-record-high flags. Method: melt EIA's wide month-x-week tables to a tidy panel with validated ISO week dates; momentum requires exact day spacing. Caveats: prices are weekly averages of retail outlets surveyed Monday (not tradable spot prices); EIA publishes only these 10 metros weekly, so all other US metros are out of scope by upstream design; the score is a relative history gauge of fuel-cost pressure, not a price forecast. U.S. federal public domain (commercial reuse allowed with attribution to the U.S. Energy Information Administration).
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 13 120
- Colonnes
- 22
- Cadence de la source
- Hebdomadaire
- Dernière actualisation
- 1 oct. 2026
- Thème
- energy
| Colonne | Type | Description |
|---|---|---|
| week_date | date | EIA reporting week (Monday; the week the Monday survey covers). Join key with metro_name. (unit: date) |
| metro_name | string | Selected metropolitan area (Boston, Chicago, Cleveland, Denver, Houston, Los Angeles, Miami, New York City, San Francisco, Seattle — the 10 metros EIA publishes weekly). Join key with week_date. |
| state_code | string | USPS 2-letter code of the metro's state (CA appears twice: Los Angeles and San Francisco). |
| state_name | string | Full state name. |
| country | string | Country name (shared normalization layer). |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). |
| price_usd_gal | float | Published weekly average retail price, all grades, all formulations, from EIA's Monday outlet survey. (unit: USD/gallon) |
| premium_vs_us_usd | float | Metro price minus the same-week US average price. Positive = the metro pays a premium; negative = a discount. Null when the US reference week is missing. (unit: USD/gallon) |
| wow_change_usd | float | Week-over-week price change vs the week exactly 7 days earlier. Null when that week is missing or mis-spaced (holiday skips are never filled). (unit: USD/gallon) |
| wow_change_pct | float | Week-over-week percent change (same gap-aware rule as wow_change_usd). (unit: percent) |
| mom4_change_usd | float | 4-week price change vs the week exactly 28 days earlier (gap-aware, null on breaks). (unit: USD/gallon) |
| mom4_change_pct | float | 4-week percent change (same gap-aware rule). (unit: percent) |
| yoy_change_usd | float | 52-week price change vs the week exactly 364 days earlier (gap-aware, null on breaks). (unit: USD/gallon) |
| yoy_change_pct | float | 52-week percent change (same gap-aware rule). (unit: percent) |
| price_rank_week | integer | Cross-metro price rank within the week (1 = cheapest of the 10 metros). Null when the price is null. (unit: rank) |
| premium_rank_week | integer | Cross-metro rank of premium_vs_us_usd within the week (1 = deepest discount vs the US average). (unit: rank) |
| price_tier_week | string | Quintile tier of the week's cross-metro price distribution: cheapest_fifth / low_fifth / middle_fifth / high_fifth / priciest_fifth. |
| fuel_strain_score | float | Documented 0-100 fuel-cost pressure gauge: 100 * (0.5 * winsorized-YoY-component + 0.5 * trailing-52-week range position), where the YoY percent change is winsorized to [-50, +50] and scaled to 0-100. Null until 52 priced weeks exist. A relative history gauge, not a price forecast. (unit: 0-100 score) |
| sharp_move_flag | boolean | True when |wow_change_pct| >= 5.0. Null when wow_change_pct is null. |
| record_high_52wk_flag | boolean | True when the week's price is >= its trailing-52-week maximum (ties count). |
| source_url | string | Exact EIA LeafHandler history URL this metro's series was parsed from. |
| row_hash | string | Deterministic 16-hex sha256 of week_date + metro_name + state_code (idempotency key). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| week_date | metro_name | state_code | state_name | country | country_code | price_usd_gal | premium_vs_us_usd | wow_change_usd | wow_change_pct | mom4_change_usd | mom4_change_pct | yoy_change_usd | yoy_change_pct | price_rank_week | premium_rank_week | price_tier_week | fuel_strain_score | sharp_move_flag | record_high_52wk_flag | source_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-06-05 | Chicago | IL | Illinois | United States | USA | 1,99 | 0,391 | — | — | — | — | — | — | 6 | 6 | priciest_fifth | — | — | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_YORD_DPG&f=W | 6e038fbae9f2430d |
| 2000-06-05 | Denver | CO | Colorado | United States | USA | 1,534 | -0,065 | — | — | — | — | — | — | 2 | 2 | cheapest_fifth | — | — | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_YDEN_DPG&f=W | 9ee46e521034bada |
| 2000-06-05 | Houston | TX | Texas | United States | USA | 1,529 | -0,07 | — | — | — | — | — | — | 1 | 1 | cheapest_fifth | — | — | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_Y44HO_DPG&f=W | c3e69d1b920f7c5a |
| 2000-06-05 | Los Angeles | CA | California | United States | USA | 1,591 | -0,008 | — | — | — | — | — | — | 3 | 3 | low_fifth | — | — | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_Y05LA_DPG&f=W | 04e2135913ab5ff6 |
| 2000-06-05 | New York City | NY | New York | United States | USA | 1,654 | 0,055 | — | — | — | — | — | — | 4 | 4 | middle_fifth | — | — | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_Y35NY_DPG&f=W | 8f114e5b90bbc9f0 |
| 2000-06-05 | San Francisco | CA | California | United States | USA | 1,805 | 0,206 | — | — | — | — | — | — | 5 | 5 | high_fifth | — | — | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_Y05SF_DPG&f=W | be56f6bac121d217 |
| 2000-06-12 | Chicago | IL | Illinois | United States | USA | 2,134 | 0,47 | 0,144 | 7,236 | — | — | — | — | 6 | 6 | priciest_fifth | — | true | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_YORD_DPG&f=W | 0cd1a981549aab21 |
| 2000-06-12 | Denver | CO | Colorado | United States | USA | 1,576 | -0,088 | 0,042 | 2,738 | — | — | — | — | 2 | 2 | cheapest_fifth | — | false | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_YDEN_DPG&f=W | b1440abd39205642 |
| 2000-06-12 | Houston | TX | Texas | United States | USA | 1,557 | -0,107 | 0,028 | 1,831 | — | — | — | — | 1 | 1 | cheapest_fifth | — | false | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_Y44HO_DPG&f=W | fc2bcab5d535d3ef |
| 2000-06-12 | Los Angeles | CA | California | United States | USA | 1,587 | -0,077 | -0,004 | -0,251 | — | — | — | — | 3 | 3 | low_fifth | — | false | false | https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=EMM_EPM0_PTE_Y05LA_DPG&f=W | 72ed555dcc8fedf6 |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T192947Z-d808a4c43c8d
Mesuré- Complétude
- 99,4 %
- Lignes
- 13 120
- Colonnes
- 22
- Colonnes incomplètes
- 13
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| week_datedate | 0 % | 1 301 | 5 juin 2000 → 28 sept. 2026 | — |
| metro_namevarchar | 0 % | 11 | — |
|
| state_codevarchar | 0 % | 10 | — |
|
| state_namevarchar | 0 % | 10 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| price_usd_galdouble | 0,02 % | 3 308 | 1,01 → 6,5médiane 2,96 | 263 hors du 1er–99e centile |
| premium_vs_us_usddouble | 0,02 % | 3 129 | -0,851 → 2,55médiane 0,06 | 264 hors du 1er–99e centile |
| wow_change_usddouble | 0,11 % | 1 483 | -0,396 → 0,911médiane -0,004 | 263 hors du 1er–99e centile |
| wow_change_pctdouble | 0,11 % | 14 415 | -14,04 → 25médiane -0,1354 | 264 hors du 1er–99e centile |
| mom4_change_usddouble | 0,34 % | 3 208 | -1,24 → 1,31médiane 0,007 | 261 hors du 1er–99e centile |
| mom4_change_pctdouble | 0,34 % | 14 992 | -36,38 → 47,87médiane 0,2564 | 262 hors du 1er–99e centile |
| yoy_change_usddouble | 4 % | 5 646 | -1,74 → 2,42médiane 0,105 | 252 hors du 1er–99e centile |
| yoy_change_pctdouble | 4 % | 16 632 | -48,61 → 94,92médiane 3,73 | 252 hors du 1er–99e centile |
| price_rank_weekbigint | 0,02 % | 11 | 1 → 10médiane 5 | |
| premium_rank_weekbigint | 0,02 % | 11 | 1 → 10médiane 5 | |
| price_tier_weekvarchar | 0,02 % | 5 | — |
|
| fuel_strain_scoredouble | 4,8 % | 1 068 | 0,8 → 100médiane 56,6 | 246 hors du 1er–99e centile |
| sharp_move_flagboolean | 0,11 % | 2 | — |
|
| record_high_52wk_flagboolean | 0 % | 2 | — |
|
| source_urlvarchar | 0 % | 11 | — |
|
| row_hashvarchar | 0 % | 11 784 | — |
|
- Actuelle
20261001T192947Z-d808a4c43c8d · sha256 d808a4c43c8d…
13 120 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/us_metro_gasoline_price_intel/us_metro_gasoline_weekly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/us_metro_gasoline_price_intel/us_metro_gasoline_weekly").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/us_metro_gasoline_price_intel/us_metro_gasoline_weekly
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 20261001T192947Z-d808a4c43c8d et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Energy Information Administration. (2026). US metro weekly gasoline price intelligence [Data set, snapshot 20261001T192947Z-d808a4c43c8d, sha256 d808a4c43c8d]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/us_metro_gasoline_price_intel/us_metro_gasoline_weekly?snapshot=20261001T192947Z-d808a4c43c8d
@misc{dz_us_metro_gasoline_price_intel_us_metro_g_d808a4c4,
title = {{US metro weekly gasoline price intelligence}},
author = {{U.S. Energy Information Administration}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/us_metro_gasoline_price_intel/us_metro_gasoline_weekly?snapshot=20261001T192947Z-d808a4c43c8d}},
note = {Snapshot 20261001T192947Z-d808a4c43c8d, sha256 d808a4c43c8d3ad465882655cf697fbbc7698dae1f46efe89027064f6c133af1; accessed 2026-10-02}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=us_metro_gasoline_price_intel%2Fus_metro_gasoline_weekly&lang=fr&theme=auto&snapshot=20261001T192947Z-d808a4c43c8d&x=week_date&y=price_usd_gal&agg=avg" title="US metro weekly gasoline price intelligence" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Posez une question sur ce jeu de données. Les réponses viennent uniquement de sa fiche, de son profil mesuré et de son historique, et citent les faits utilisés.