US Medicaid/CHIP enrollment stress panel (CMS, monthly by state)
Monthly US household-stress panel by state, 2017-06 onward: CMS Medicaid/CHIP Performance Indicator enrollment (total, Medicaid, CHIP, child, adult), new applications, and eligibility determinations for all 50 states + DC, keyless via the data.medicaid.gov datastore API. Carries enrollment MoM/YoY, applications YoY (a leading indicator), determination rate, each state's share of national enrollment, a documented 0-100 household_stress_score (within-month min-max of clipped enrollment and applications YoY; higher = more strain), a within-month stress_rank, Medicaid-expansion and unwinding-era flags, and a trailing-12-month record-high flag. The total == Medicaid + CHIP identity is checked every row (<= 1 person). The 2023-04..2024-12 unwinding window is flagged: enrollment drops there are largely procedural disenrollments, not improving finances. Who joins this: subscription businesses read state+month stress for churn-risk regimes; retailers use applications YoY as a demand-softness lead; sales teams weight outreach by the stress score.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 5 559
- Colonnes
- 25
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 1 oct. 2026
- Thème
- health
| Colonne | Type | Description |
|---|---|---|
| date | date | Reference month, first of month (panel join key). One row per state per month, 2017-06 onward, no gaps — a missing month fails the ingest loudly. (unit: date) |
| year_month | string | Calendar month as YYYY-MM. (unit: string) |
| state_abbreviation | string | USPS 2-letter state/District code (50 states + DC). Join key for state-level merges. (unit: string) |
| state_name | string | State/District name as reported by CMS. (unit: string) |
| country | string | Country name (shared normalization layer). (unit: string) |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). (unit: string) |
| total_enrollment | float | Total Medicaid + CHIP enrollment (all populations receiving comprehensive benefits). The binding measure: null in-grid fails loudly. Identity: total == medicaid_enrollment + chip_enrollment (<= 1 person) wherever both components are present. (unit: persons) |
| medicaid_enrollment | integer | Total Medicaid enrollment (all ages). (unit: persons) |
| chip_enrollment | integer | Total CHIP enrollment. (unit: persons) |
| child_enrollment | integer | Medicaid + CHIP child enrollment. (unit: persons) |
| adult_medicaid_enrollment | float | Total adult Medicaid enrollment. (unit: persons) |
| applications | float | New applications submitted to Medicaid and CHIP agencies. A leading indicator: households turn to the safety net before enrollment rises. (unit: persons) |
| determinations | float | Total individuals determined eligible for Medicaid/CHIP at application. (unit: persons) |
| determination_rate | float | determinations / applications (null when applications is null or zero). (unit: ratio) |
| enrollment_mom_pct | float | Month-over-month percent change in total enrollment (null for 2017-06). (unit: percent) |
| enrollment_yoy_pct | float | Year-over-year percent change in total enrollment (null for the first 12 months). (unit: percent) |
| applications_yoy_pct | float | Year-over-year percent change in new applications (null for the first 12 months). The demand-softness leading leg. (unit: percent) |
| share_of_national_pct | float | State total enrollment as a percent of the national (50 states + DC) total that month. (unit: percent) |
| household_stress_score | float | Documented 0-100 composite: within-month min-max of clip(enrollment_yoy_pct, -15, +15) and clip(applications_yoy_pct, -30, +30), averaged x100. Higher = more households turning to safety-net coverage = more financial strain. Null when both legs are null (first 12 months). Caveat: during the 2023-04 ..2024-12 unwinding window the enrollment leg understates strain (procedural disenrollments). (unit: score 0-100) |
| stress_rank | integer | Within-month rank of household_stress_score (1 = most stressed state). Null when the score is null. (unit: rank) |
| expansion_state_flag | integer | 1 when the state had expanded Medicaid under the ACA in that month (from the period's own state_expanded_medicaid), 0 otherwise. (unit: flag) |
| unwinding_era_flag | integer | 1 for 2023-04..2024-12: the continuous-enrollment unwinding, when enrollment declines were largely procedural disenrollments rather than improving household finances. Read enrollment momentum in this window with that caveat. (unit: flag) |
| record_high_12m_flag | integer | 1 when total enrollment is at its trailing-12-month maximum, 0 otherwise. (unit: flag) |
| report_status | string | 'final' for updated/final CMS reports, 'preliminary' for the latest not-yet-finalized month. (unit: string) |
| row_hash | string | Deterministic 16-hex sha256 of state + period + total + applications + determinations (idempotency key). (unit: string) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | year_month | state_abbreviation | state_name | country | country_code | total_enrollment | medicaid_enrollment | chip_enrollment | child_enrollment | adult_medicaid_enrollment | applications | determinations | determination_rate | enrollment_mom_pct | enrollment_yoy_pct | applications_yoy_pct | share_of_national_pct | household_stress_score | stress_rank | expansion_state_flag | unwinding_era_flag | record_high_12m_flag | report_status | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-06-01 | 2017-06 | AK | Alaska | United States | USA | 194 534 | 182 080 | 12 454 | 90 081 | — | 3 069 | 3 422 | 1,115 | — | — | — | 0,264 | — | — | 1 | 0 | 0 | final | bb9c10d9ae57e88c |
| 2017-06-01 | 2017-06 | AL | Alabama | United States | USA | 885 767 | 729 368 | 156 399 | 629 763 | — | 16 449 | 28 634 | 1,741 | — | — | — | 1,204 | — | — | 0 | 0 | 0 | final | 2c2f09cfeac80853 |
| 2017-06-01 | 2017-06 | AR | Arkansas | United States | USA | 923 807 | 842 290 | 81 517 | 437 556 | — | 0 | 0 | — | — | — | — | 1,256 | — | — | 1 | 0 | 0 | final | 5afd5663f0f512f2 |
| 2017-06-01 | 2017-06 | AZ | Arizona | United States | USA | 1 744 617 | 1 649 411 | 95 206 | 0 | — | 0 | 0 | — | — | — | — | 2,371 | — | — | 1 | 0 | 0 | final | b643f8c457747788 |
| 2017-06-01 | 2017-06 | CA | California | United States | USA | 12 293 428 | 11 004 981 | 1 288 447 | 5 181 237 | — | 163 743 | 174 775 | 1,067 | — | — | — | 16,709 | — | — | 1 | 0 | 0 | final | e5da24787d8376fd |
| 2017-06-01 | 2017-06 | CO | Colorado | United States | USA | 1 412 331 | 1 261 644 | 150 687 | 630 075 | — | 18 278 | 16 143 | 0,883 | — | — | — | 1,92 | — | — | 1 | 0 | 0 | final | baddf2985d64151e |
| 2017-06-01 | 2017-06 | CT | Connecticut | United States | USA | 794 805 | 777 208 | 17 597 | 316 717 | — | 4 793 | 9 493 | 1,981 | — | — | — | 1,08 | — | — | 1 | 0 | 0 | final | 20d066dbedb12517 |
| 2017-06-01 | 2017-06 | DC | District of Columbia | United States | USA | 254 253 | 242 621 | 11 632 | 90 783 | — | 2 313 | 4 436 | 1,918 | — | — | — | 0,346 | — | — | 1 | 0 | 0 | final | cb9753dd296c5a0e |
| 2017-06-01 | 2017-06 | DE | Delaware | United States | USA | 227 659 | 215 041 | 12 618 | 105 633 | — | 0 | 0 | — | — | — | — | 0,309 | — | — | 1 | 0 | 0 | final | 3d8f1369b0ec2f60 |
| 2017-06-01 | 2017-06 | FL | Florida | United States | USA | 3 874 106 | 3 678 987 | 195 119 | 2 592 522 | — | 280 705 | 188 360 | 0,671 | — | — | — | 5,266 | — | — | 0 | 0 | 0 | final | b8b12bbb36946005 |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T002208Z-9b10c8d016dd
Mesuré- Complétude
- 94,8 %
- Lignes
- 5 559
- Colonnes
- 25
- Colonnes incomplètes
- 7
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datedate | 0 % | 99 | 1 juin 2017 → 1 juin 2026 | — |
| year_monthvarchar | 0 % | 120 | — |
|
| state_abbreviationvarchar | 0 % | 55 | — |
|
| state_namevarchar | 0 % | 59 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| total_enrollmentdouble | 0 % | 6 103 | 0 → 14 462 560médiane 1 037 696 | 112 hors du 1er–99e centile |
| medicaid_enrollmentbigint | 0 % | 5 957 | 0 → 13 160 563médiane 954 801 | 112 hors du 1er–99e centile |
| chip_enrollmentbigint | 0 % | 4 887 | 0 → 1 317 347médiane 79 858 | 112 hors du 1er–99e centile |
| child_enrollmentbigint | 0 % | 5 811 | 0 → 5 339 904médiane 512 541 | 56 hors du 1er–99e centile |
| adult_medicaid_enrollmentdouble | 78 % | 1 044 | 0 → 8 497 290médiane 547 049 | 26 hors du 1er–99e centile |
| applicationsdouble | 0 % | 4 368 | 0 → 733 651médiane 14 851 | 56 hors du 1er–99e centile |
| determinationsdouble | 0 % | 5 110 | 0 → 464 412médiane 12 015 | 56 hors du 1er–99e centile |
| determination_ratedouble | 3,9 % | 6 578 | 0 → 39,86médiane 0,843 | 54 hors du 1er–99e centile |
| enrollment_mom_pctdouble | 0,92 % | 6 787 | -100 → 17,46médiane 0,1093 | 112 hors du 1er–99e centile |
| enrollment_yoy_pctdouble | 11 % | 4 220 | -100 → 40,76médiane 0,0892 | 100 hors du 1er–99e centile |
| applications_yoy_pctdouble | 13,8 % | 5 133 | -100 → 4 987médiane -0,7834 | 96 hors du 1er–99e centile |
| share_of_national_pctdouble | 0 % | 6 005 | 0 → 17,17médiane 1,34 | 112 hors du 1er–99e centile |
| household_stress_scoredouble | 11 % | 4 298 | 0 → 100médiane 48,83 | 50 hors du 1er–99e centile |
| stress_rankbigint | 11 % | 45 | 1 → 51médiane 26 | |
| expansion_state_flagbigint | 0 % | 2 | 0 → 1médiane 1 | |
| unwinding_era_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| record_high_12m_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| report_statusvarchar | 0 % | 2 | — |
|
| row_hashvarchar | 0 % | 6 346 | — |
|
- Actuelle
20261001T002208Z-9b10c8d016dd · sha256 9b10c8d016dd…
5 559 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/cms_medicaid_enrollment_intel/us_medicaid_enrollment_stress_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/cms_medicaid_enrollment_intel/us_medicaid_enrollment_stress_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/cms_medicaid_enrollment_intel/us_medicaid_enrollment_stress_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 20261001T002208Z-9b10c8d016dd et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
US Medicaid/CHIP Enrollment Stress Intelligence (CMS, keyless). (2026). US Medicaid/CHIP enrollment stress panel (CMS, monthly by state) [Data set, snapshot 20261001T002208Z-9b10c8d016dd, sha256 9b10c8d016dd]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/cms_medicaid_enrollment_intel/us_medicaid_enrollment_stress_monthly?snapshot=20261001T002208Z-9b10c8d016dd
@misc{dz_cms_medicaid_enrollment_intel_us_medicai_9b10c8d0,
title = {{US Medicaid/CHIP enrollment stress panel (CMS, monthly by state)}},
author = {{US Medicaid/CHIP Enrollment Stress Intelligence (CMS, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/cms_medicaid_enrollment_intel/us_medicaid_enrollment_stress_monthly?snapshot=20261001T002208Z-9b10c8d016dd}},
note = {Snapshot 20261001T002208Z-9b10c8d016dd, sha256 9b10c8d016ddc9243f278db9ce548af3429da43c4ce22c4a4f6c8d4ab0d4bc6b; accessed 2026-10-01}
}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=cms_medicaid_enrollment_intel%2Fus_medicaid_enrollment_stress_monthly&lang=fr&theme=auto&snapshot=20261001T002208Z-9b10c8d016dd&x=date&y=total_enrollment&agg=avg" title="US Medicaid/CHIP enrollment stress panel (CMS, monthly by state)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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