US state household-debt stress intelligence (NY Fed/Equifax)
US state household-debt stress intelligence from the NY Fed Consumer Credit Panel / Equifax state-level workbook (keyless, redistributable under the NY Fed Terms of Use): 52 geographies x Q4 year, 2003-2025. Core measures: per-capita debt balances for auto, credit card, mortgage, and student loans, plus the percent of each balance 90+ days delinquent. Method: the ten data sheets are parsed from their fixed grid layout and pivoted to a long state x year panel; rows with a NULL total balance are dropped as unverifiable (never fabricated); the allUS national row is integrity-checked then excluded. Derived signals per state-year: a documented 0-100 stress_score (mean of full-panel min-max normalized delinquency rates, equal weights), within-year stress rank and quintile tier, debt burden rank, YoY percent change of total debt per capita, YoY change in credit-card 90+ delinquency (pp), and a severe-stress flag (score >= 75). Use as prediction features: join to customers/orders/leads by region_code + date for demand, churn, and lead-scoring models — household balance-sheet stress leads changes in discretionary spending, subscription churn, and B2B close rates. Caveats: Q4-only annual grain (forward-fill within the year for higher-frequency models); balances are nominal, not inflation-adjusted; delinquency is a stock measure (use the YoY flow signals for deterioration); Puerto Rico is published only through 2016; student-loan sheets use a thinner 1% panel.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 1 187
- Colonnes
- 26
- Cadence de la source
- Annuelle
- Dernière actualisation
- 1 oct. 2026
- Thème
- finance
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference date of the Q4 observation (YYYY-12-01). |
| year | integer | Reference Q4 year. |
| country | string | Country name (United States). |
| country_code | string | ISO alpha-3 country code (USA). |
| region_code | string | ISO 3166-2 region code (US-AK, US-DC, US-PR). |
| state_postal | string | USPS 2-letter state/territory code. |
| state_name | string | State / district / territory name. |
| total_debt_per_capita_usd | float | Total debt balance per capita, nominal USD (NY Fed 'total' sheet). |
| auto_debt_per_capita_usd | float | Auto-loan debt balance per capita, nominal USD. |
| creditcard_debt_per_capita_usd | float | Credit-card debt balance per capita, nominal USD. |
| mortgage_debt_per_capita_usd | float | Mortgage debt balance per capita excluding HELOC, nominal USD. |
| studentloan_debt_per_capita_usd | float | Student-loan debt balance per capita, nominal USD (1% panel). |
| delinq_auto_90p_pct | float | Percent of auto-loan balance 90+ days delinquent. |
| delinq_creditcard_90p_pct | float | Percent of credit-card balance 90+ days delinquent. |
| delinq_mortgage_90p_pct | float | Percent of mortgage balance 90+ days delinquent. |
| delinq_studentloan_90p_pct | float | Percent of student-loan balance 90+ days delinquent (and in default). |
| panel_consumers | float | Number of consumers in the NY Fed Consumer Credit Panel for the state-year (5% sample of the 18+ population with an Equifax file). |
| stress_score | float | 0-100 household stress score: mean of the four 90+ day delinquency rates, each min-max normalized over the full 2003-2025 panel, equal weights (0 = calmest state-year ever observed, 100 = most stressed). |
| stress_rank | integer | Rank of stress_score within the year (1 = most stressed; ties share the rank). |
| stress_tier | integer | Within-year quintile of stress_score (1 = calmest fifth, 5 = most stressed fifth). |
| debt_burden_rank | integer | Rank of total debt per capita within the year (1 = highest debt load; ties share the rank). |
| yoy_total_debt_pct | float | Year-over-year percent change of total debt per capita within the state (NULL in the first year). |
| yoy_cc_delinq_pp | float | Year-over-year change, in percentage points, of the 90+ day credit-card delinquency rate within the state (NULL in the first year). |
| severe_stress_flag | integer | 1 when stress_score >= 75 (top quartile of the historical panel). |
| row_hash | string | Content hash (sha256, 16 hex) over state, year, and core measures. |
| source_url | string | Canonical NY Fed Household Debt and Credit page. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | year | country | country_code | region_code | state_postal | state_name | total_debt_per_capita_usd | auto_debt_per_capita_usd | creditcard_debt_per_capita_usd | mortgage_debt_per_capita_usd | studentloan_debt_per_capita_usd | delinq_auto_90p_pct | delinq_creditcard_90p_pct | delinq_mortgage_90p_pct | delinq_studentloan_90p_pct | panel_consumers | stress_score | stress_rank | stress_tier | debt_burden_rank | yoy_total_debt_pct | yoy_cc_delinq_pp | severe_stress_flag | row_hash | source_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-12-01 | 2 003 | United States | USA | US-AK | AK | Alaska | 35 980 | 3 480 | 4 260 | 26 080 | 680 | 0,83 | 5,21 | 0,57 | 5,5 | 478 640 | 10,01 | 51 | 1 | 15 | — | — | 0 | 2ad5544be60519f8 | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-AL | AL | Alabama | 23 950 | 2 910 | 2 600 | 14 750 | 880 | 2,63 | 11,92 | 1,57 | 8,2 | 3 780 480 | 27,4 | 4 | 5 | 43 | — | — | 0 | bbc93e2ddf00cc38 | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-AR | AR | Arkansas | 19 900 | 3 070 | 2 430 | 11 880 | 710 | 2,06 | 11,22 | 1,32 | 5,77 | 2 140 020 | 21,72 | 16 | 4 | 49 | — | — | 0 | 26e1d004616589c3 | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-AZ | AZ | Arizona | 37 060 | 3 420 | 3 110 | 27 370 | 1 080 | 2,86 | 8,97 | 1,05 | 7,4 | 4 280 840 | 22,19 | 14 | 4 | 13 | — | — | 0 | 561e62189e61249e | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-CA | CA | California | 48 820 | 3 150 | 3 080 | 39 410 | 970 | 1,89 | 8,84 | 0,43 | 6,54 | 27 970 460 | 18,18 | 27 | 3 | 2 | — | — | 0 | 30398c74b7e1a04b | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-CO | CO | Colorado | 49 130 | 3 130 | 3 480 | 39 250 | 1 380 | 1,83 | 7,31 | 1,2 | 7,67 | 3 641 860 | 18,51 | 25 | 3 | 1 | — | — | 0 | c506fad000f44eec | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-CT | CT | Connecticut | 40 850 | 2 720 | 3 330 | 31 070 | 1 010 | 1,42 | 7,81 | 0,78 | 3,75 | 2 839 520 | 12,49 | 45 | 1 | 7 | — | — | 0 | b914f2926d17e5dd | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-DC | DC | District of Columbia | 41 250 | 2 050 | 3 330 | 32 430 | 3 130 | 4,2 | 9,72 | 0,73 | 4,46 | 501 660 | 21,4 | 17 | 4 | 6 | — | — | 0 | 310e697d3216ae56 | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-DE | DE | Delaware | 34 350 | 3 480 | 3 000 | 24 840 | 990 | 1,91 | 9,04 | 1,45 | 6,36 | 677 900 | 19,48 | 22 | 3 | 19 | — | — | 0 | 8159308499587d4a | https://www.newyorkfed.org/microeconomics/hhdc |
| 2003-12-01 | 2 003 | United States | USA | US-FL | FL | Florida | 30 210 | 3 080 | 3 100 | 20 900 | 840 | 2,74 | 11,87 | 1,21 | 7,64 | 15 394 060 | 26,35 | 7 | 5 | 24 | — | — | 0 | a8897fbf1cbd8ac3 | https://www.newyorkfed.org/microeconomics/hhdc |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T171029Z-220eb6facc71
Mesuré- Complétude
- 99,7 %
- Lignes
- 1 187
- Colonnes
- 26
- Colonnes incomplètes
- 2
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datevarchar | 0 % | 24 | — |
|
| yearbigint | 0 % | 23 | 2 003 → 2 025médiane 2 014 | |
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| region_codevarchar | 0 % | 54 | — |
|
| state_postalvarchar | 0 % | 57 | — |
|
| state_namevarchar | 0 % | 59 | — |
|
| total_debt_per_capita_usddouble | 0 % | 1 076 | 17 180 → 105 800médiane 45 120 | 24 hors du 1er–99e centile |
| auto_debt_per_capita_usddouble | 0 % | 401 | 1 990 → 8 000médiane 3 780 | 24 hors du 1er–99e centile |
| creditcard_debt_per_capita_usddouble | 0 % | 328 | 930 → 5 500médiane 3 060 | 24 hors du 1er–99e centile |
| mortgage_debt_per_capita_usddouble | 0 % | 997 | 9 300 → 80 970médiane 30 020 | 24 hors du 1er–99e centile |
| studentloan_debt_per_capita_usddouble | 0 % | 507 | 500 → 13 600médiane 4 180 | 24 hors du 1er–99e centile |
| delinq_auto_90p_pctdouble | 0 % | 430 | 0,83 → 13,58médiane 3,16 | 24 hors du 1er–99e centile |
| delinq_creditcard_90p_pctdouble | 0 % | 537 | 3,61 → 22,35médiane 8,32 | 23 hors du 1er–99e centile |
| delinq_mortgage_90p_pctdouble | 0 % | 581 | 0,16 → 20,74médiane 1,32 | 23 hors du 1er–99e centile |
| delinq_studentloan_90p_pctdouble | 0 % | 639 | 0,12 → 18,36médiane 8,02 | 24 hors du 1er–99e centile |
| panel_consumersdouble | 0 % | 964 | 408 220 → 33 619 120médiane 3 485 660 | 24 hors du 1er–99e centile |
| stress_scoredouble | 0 % | 809 | 4,08 → 81,9médiane 23,84 | 24 hors du 1er–99e centile |
| stress_rankbigint | 0 % | 47 | 1 → 52médiane 26 | |
| stress_tierbigint | 0 % | 5 | 1 → 5médiane 3 | |
| debt_burden_rankbigint | 0 % | 47 | 1 → 52médiane 26 | |
| yoy_total_debt_pctdouble | 4,4 % | 1 316 | -15,71 → 26,88médiane 2,51 | 24 hors du 1er–99e centile |
| yoy_cc_delinq_ppdouble | 4,4 % | 520 | -4,49 → 6,44médiane 0,08 | 24 hors du 1er–99e centile |
| severe_stress_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| row_hashvarchar | 0 % | 1 204 | — |
|
| source_urlvarchar | 0 % | 1 | — |
|
- Actuelle
20261001T171029Z-220eb6facc71 · sha256 220eb6facc71…
1 187 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/nyfed_state_household_debt_intel/us_state_household_debt_stress_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nyfed_state_household_debt_intel/us_state_household_debt_stress_annual").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/nyfed_state_household_debt_intel/us_state_household_debt_stress_annual
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 20261001T171029Z-220eb6facc71 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
Federal Reserve Bank of New York. (2026). US state household-debt stress intelligence (NY Fed/Equifax) [Data set, snapshot 20261001T171029Z-220eb6facc71, sha256 220eb6facc71]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/nyfed_state_household_debt_intel/us_state_household_debt_stress_annual?snapshot=20261001T171029Z-220eb6facc71
@misc{dz_nyfed_state_household_debt_intel_us_stat_220eb6fa,
title = {{US state household-debt stress intelligence (NY Fed/Equifax)}},
author = {{Federal Reserve Bank of New York}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/nyfed_state_household_debt_intel/us_state_household_debt_stress_annual?snapshot=20261001T171029Z-220eb6facc71}},
note = {Snapshot 20261001T171029Z-220eb6facc71, sha256 220eb6facc7106d23c0cdc12775afe29618971528f045a99d99bfc3a3df1f207; accessed 2026-10-02}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=nyfed_state_household_debt_intel%2Fus_state_household_debt_stress_annual&lang=fr&theme=auto&snapshot=20261001T171029Z-220eb6facc71&x=date&y=year&agg=avg" title="US state household-debt stress intelligence (NY Fed/Equifax)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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