New York Fed Household Debt and Credit
New York Fed Household Debt and Credit
Federal Reserve Bank of New York quarterly household debt and credit workbooks based on the New York Fed Consumer Credit Panel/Equifax. Excel sheets cover debt balances, composition, delinquency, originations, credit scores and geographic measures, and download without a key.
Required Attribution:
Required for these data: "New York Fed Consumer Credit Panel / Equifax." Copies must also preserve included copyright notices and source identifiers.
Coverage
The U.S. series include a separate 1999-2003 workbook and quarterly report workbooks through 2026 Q2 on the checked page. The release is quarterly; the latest workbook contains chart-source sheets for national and geographic household-credit measures.
Verdict
A U.S. household borrowing, repayment-stress and credit-supply signal for tracking consumer balance sheets and regional conditions. It is quarterly and arrives with reporting lag rather than as a live transaction feed. The data are analysis of a credit-panel sample, and product definitions, servicing transfers, student-loan reporting and later revisions can distort comparisons. Reuse must carry the provider's Consumer Credit Panel/Equifax attribution and other source identifiers required by the terms.
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Use in your agent
Load a New York Fed household-debt sheet into Parquet. Checked against the provider's documentation on Nov 1, 2026.
Access
- No account or key. The quarterly XLSX workbook is a public download.
- pandas needs an XLSX engine such as openpyxl; the checked run used openpyxl 3.1.5.
Request
curl -O 'https://www.newyorkfed.org/medialibrary/interactives/householdcredit/data/xls/HHD_C_Report_2026Q2'Format
Excel workbook with a table of contents and chart-source worksheets; the example preserves the raw Page 3 Data sheet as strings because its title and header rows are embedded in the sheet.
Load into pandas and Parquet
Needs Python 3 with requests, pandas and pyarrow.
"""New York Fed 2026 Q2 household-debt Page 3 data -> Parquet."""
import io
import requests
import pandas as pd
URL = ("https://www.newyorkfed.org/medialibrary/interactives/"
"householdcredit/data/xls/HHD_C_Report_2026Q2")
r = requests.get(URL, timeout=60)
r.raise_for_status()
df = pd.read_excel(io.BytesIO(r.content), sheet_name="Page 3 Data", header=None)
df = df.astype("string")
df.to_parquet("nyfed_household_debt_page3.parquet", index=False)
print(len(df), "rows", len(df.columns), "columns from Page 3 Data")Run by us on 2026-11-01 (python 3.13.5 | pandas 3.1.0 | pyarrow 26.0.0 | requests 2.34.2 | openpyxl 3.1.5). Result: 100 rows 8 columns from Page 3 Data
Limits
- Rate limit: Not stated.
- The report is quarterly; the latest checked workbook is 2026 Q2.
- A separate workbook supplies 1999-2003 data.
Quirks
- Each chart has its own worksheet and embedded title or header rows; select and reshape sheets according to the table of contents.
- The example converts the raw worksheet to strings so mixed title, date and numeric cells serialize consistently to Parquet.
- The provider notes a temporary mortgage-reporting gap from a servicing transfer in 2026 Q2 and continuing student-loan reporting distortions.
Terms and attribution
- The New York Fed permits personal and business use, copying, distribution and modification subject to its terms.
- Household Debt and Credit data require the New York Fed Consumer Credit Panel / Equifax attribution.
Sources
- https://www.newyorkfed.org/householdcredit/hhdc-iframe: “Transition into early delinquency ticked up for auto loans and mortgages but was largely steady for credit cards and other debts.”
- https://www.newyorkfed.org/householdcredit/hhdc-iframe: “1999-2003 Data”
- https://www.newyorkfed.org/privacy/termsofuse: “The New York Fed grants you a non-exclusive license, subject to the Terms, to use, copy, and distribute Content for your personal or business purposes.”
- https://www.newyorkfed.org/privacy/termsofuse: “If you use the Consumer Credit Panel data, the proper attribution format is “New York Fed Consumer Credit Panel / Equifax.””
Information and education only. Not financial, investment, legal or tax advice. Listings can be inaccurate, incomplete or out of date and are provided "as is". Free tiers, limits and licenses belong to each provider and can change, so check the provider's own terms before you rely on them. Terms & Disclaimer