US state cost-of-living pressure intelligence
US state cost-of-living pressure intelligence from MERIC's keyless quarterly republication of the C2ER Cost of Living Index: one row per quarter per area for the 50 states plus DC and Puerto Rico (52 ranked areas; the United States reference row is the benchmark identity gate, not a panel row). Each row carries the composite index plus the six published components (grocery, housing, utilities, transportation, health, miscellaneous; national average = 100.0), the premium vs the US in index points, the cost multiple of the national average, a per-quarter affordability rank and a documented fixed-band tier (low_cost / below_average / average / above_average / high_cost), and a cost-driver decomposition naming the two components pushing costs furthest above the national average with their point deviations. Method: parse MERIC's state table (closed 52-area table, identity-gated); quarter is read from the page's own heading, never inferred. Caveats: the index prices a professional/upper-management household basket in participating metros, averaged per state — not a median-household measure; the page carries only the current quarter, so history accrues one snapshot per quarter going forward. License: MERIC republishes the C2ER index free of charge; commercial redistribution terms are unclear — verify with C2ER/MERIC before commercial reuse. Attribution to MERIC and C2ER required.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 52
- Colonnes
- 25
- Cadence de la source
- Trimestrielle
- Dernière actualisation
- 29 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| quarter | string | C2ER reference quarter read from the page's own heading (YYYY-Qn; e.g. 2026-Q2). Never inferred from the fetch date. |
| quarter_start | date | First day of the reference quarter (date). Join key with state_code. (unit: date) |
| state_code | string | USPS 2-letter code for the 50 states and DC; PR for Puerto Rico. Join key with quarter_start. |
| state_name | string | Area name as published by MERIC. |
| area_type | string | state, district (DC) or territory (PR). |
| country | string | Country name (shared normalization layer). |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). |
| coli_composite | float | C2ER composite cost-of-living index (national average = 100.0). MERIC averages the participating metros per state. (unit: index points) |
| coli_grocery | float | Grocery component index. (unit: index points) |
| coli_housing | float | Housing component index. (unit: index points) |
| coli_utilities | float | Utilities component index. (unit: index points) |
| coli_transportation | float | Transportation component index. (unit: index points) |
| coli_health | float | Health-care component index. (unit: index points) |
| coli_misc | float | Miscellaneous goods/services component index. (unit: index points) |
| premium_vs_us_pts | float | Composite minus 100: index points above (positive) or below (negative) the national average. (unit: index points) |
| cost_multiple | float | Composite / 100: the multiple of national-average cost a household pays (1.86 = 86% above average). (unit: multiple) |
| affordability_rank | integer | Per-quarter rank by composite ascending (1 = cheapest; ties broken by state_code). (unit: rank) |
| affordability_tier | string | Fixed-band tier on the composite: low_cost (<90), below_average (90-97.5), average (97.5-102.5), above_average (102.5-115), high_cost (>=115). |
| primary_cost_driver | string | Component with the largest positive deviation from 100 (grocery, housing, utilities, transportation, health or misc) — the category pushing the state's costs furthest above the national average. |
| primary_driver_deviation_pts | float | Primary driver's component index minus 100. (unit: index points) |
| secondary_cost_driver | string | Component with the second-largest deviation from 100. |
| secondary_driver_deviation_pts | float | Secondary driver's component index minus 100. (unit: index points) |
| component_spread_pts | float | Max minus min of the six components — how lopsided the state's cost structure is. (unit: index points) |
| source_url | string | MERIC cost-of-living data series page the snapshot was parsed from. |
| row_hash | string | Deterministic 16-hex sha256 of quarter + state_code (idempotency key). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| quarter | quarter_start | state_code | state_name | area_type | country | country_code | coli_composite | coli_grocery | coli_housing | coli_utilities | coli_transportation | coli_health | coli_misc | premium_vs_us_pts | cost_multiple | affordability_rank | affordability_tier | primary_cost_driver | primary_driver_deviation_pts | secondary_cost_driver | secondary_driver_deviation_pts | component_spread_pts | source_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-Q2 | 2026-04-01 | OK | Oklahoma | state | United States | USA | 83 | 94,1 | 65,1 | 97,6 | 83,9 | 96,7 | 87,8 | -17 | 0,83 | 1 | low_cost | utilities | -2,4 | health | -3,3 | 32,5 | https://meric.mo.gov/data/cost-living-data-series | 46280b07ca563ae6 |
| 2026-Q2 | 2026-04-01 | AL | Alabama | state | United States | USA | 86 | 95,2 | 68,6 | 94,1 | 90,9 | 85,2 | 93,8 | -14 | 0,86 | 2 | low_cost | grocery | -4,8 | utilities | -5,9 | 26,6 | https://meric.mo.gov/data/cost-living-data-series | 6e9fe49776818180 |
| 2026-Q2 | 2026-04-01 | IA | Iowa | state | United States | USA | 86,1 | 96,2 | 70,6 | 81,7 | 93,5 | 93 | 93,4 | -13,9 | 0,861 | 3 | low_cost | grocery | -3,8 | transportation | -6,5 | 25,6 | https://meric.mo.gov/data/cost-living-data-series | 4bfe8d1cb65749ea |
| 2026-Q2 | 2026-04-01 | WV | West Virginia | state | United States | USA | 87 | 96,4 | 69,9 | 93,3 | 97,7 | 88,6 | 93,4 | -13 | 0,87 | 4 | low_cost | transportation | -2,3 | grocery | -3,6 | 27,8 | https://meric.mo.gov/data/cost-living-data-series | e33c102dfdfb1671 |
| 2026-Q2 | 2026-04-01 | KS | Kansas | state | United States | USA | 87,1 | 95,3 | 78,7 | 96 | 84,4 | 89,4 | 88,9 | -12,9 | 0,871 | 5 | low_cost | utilities | -4 | grocery | -4,7 | 17,3 | https://meric.mo.gov/data/cost-living-data-series | f5ab6f5659acff08 |
| 2026-Q2 | 2026-04-01 | MS | Mississippi | state | United States | USA | 87,4 | 94,2 | 70,8 | 97,4 | 92,3 | 84,8 | 95,6 | -12,6 | 0,874 | 6 | low_cost | utilities | -2,6 | misc | -4,4 | 26,6 | https://meric.mo.gov/data/cost-living-data-series | 504225e718097d25 |
| 2026-Q2 | 2026-04-01 | MO | Missouri | state | United States | USA | 88,2 | 95,3 | 77,7 | 94 | 85,3 | 95,4 | 92,6 | -11,8 | 0,882 | 7 | low_cost | health | -4,6 | grocery | -4,7 | 17,7 | https://meric.mo.gov/data/cost-living-data-series | 14893c839e8166cd |
| 2026-Q2 | 2026-04-01 | AR | Arkansas | state | United States | USA | 89 | 94,6 | 76,9 | 98,7 | 91,5 | 85,5 | 94,6 | -11 | 0,89 | 8 | low_cost | utilities | -1,3 | grocery | -5,4 | 21,8 | https://meric.mo.gov/data/cost-living-data-series | 9565a10ea4b548df |
| 2026-Q2 | 2026-04-01 | IN | Indiana | state | United States | USA | 89,7 | 98,2 | 77,5 | 92,7 | 98,1 | 89,7 | 93,7 | -10,3 | 0,897 | 9 | low_cost | grocery | -1,8 | transportation | -1,9 | 20,7 | https://meric.mo.gov/data/cost-living-data-series | 8930cee30280228e |
| 2026-Q2 | 2026-04-01 | TN | Tennessee | state | United States | USA | 89,7 | 96,3 | 80 | 88 | 93 | 89,5 | 95 | -10,3 | 0,897 | 10 | low_cost | grocery | -3,7 | misc | -5 | 16,3 | https://meric.mo.gov/data/cost-living-data-series | 3dcf0c081229a096 |
- Actuelle
20260929T204137Z-0f2eb3c7f873 · sha256 0f2eb3c7f873…
52 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/meric_state_coli_intel/us_state_coli_quarterly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/meric_state_coli_intel/us_state_coli_quarterly").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/meric_state_coli_intel/us_state_coli_quarterly
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 20260929T204137Z-0f2eb3c7f873 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
Missouri Economic Research and Information Center. (2026). US state cost-of-living pressure intelligence [Data set, snapshot 20260929T204137Z-0f2eb3c7f873, sha256 0f2eb3c7f873]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/meric_state_coli_intel/us_state_coli_quarterly?snapshot=20260929T204137Z-0f2eb3c7f873
@misc{dz_meric_state_coli_intel_us_state_coli_qua_0f2eb3c7,
title = {{US state cost-of-living pressure intelligence}},
author = {{Missouri Economic Research and Information Center}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/meric_state_coli_intel/us_state_coli_quarterly?snapshot=20260929T204137Z-0f2eb3c7f873}},
note = {Snapshot 20260929T204137Z-0f2eb3c7f873, sha256 0f2eb3c7f87314e3a46965858d2cb8aa3099519ab0c059860d2c0e7f558848db; accessed 2026-09-30}
}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=meric_state_coli_intel%2Fus_state_coli_quarterly&lang=fr&theme=auto&snapshot=20260929T204137Z-0f2eb3c7f873&x=quarter&y=coli_composite&agg=avg" title="US state cost-of-living pressure intelligence" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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