HMDA Mortgage-Lending Book

About this dataset

HMDA Mortgage-Lending Book is a Free dataset in the Banks group of the BankRegReports Data API. The response carries 17 documented fields, sourced from FFIEC HMDA LAR.

GET /api/v1/banks/{rssd_id}/hmda/ - HMDA applications/originations/denials.

Endpoint

GET /api/v1/banks/{rssd_id}/hmda/

Parameters

Name	Required	Description
rssd_id	required	Federal Reserve RSSD id. e.g. 852218

Response fields

Field	Type	Description
lei	string, nullable	Legal Entity Identifier (text)
activity_year	integer, nullable
state_code	string, nullable
legal_name	string, nullable	Legal Name (text)
n_applications	integer, nullable
n_originated	integer, nullable
n_approved_not_accepted	integer, nullable
n_denied	integer, nullable
n_purchased	integer, nullable
n_withdrawn_or_incomplete	integer, nullable
usd_originated	number (double), nullable
usd_purchased	number (double), nullable
avg_loan_amount_originated	number (double), nullable
avg_interest_rate_originated	number (double), nullable
n_originated_purchase	integer, nullable
n_originated_refi	integer, nullable
denial_rate	number (double), nullable

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/hmda/" \
  -H "Authorization: Bearer $BANKREG_API_TOKEN"

Responses are JSON in a {"data": ..., "meta": {...}} envelope. Get a token on the setup page.

Example response shape

A successful call returns HTTP 200 with a JSON body. Each row in data carries the fields below, shown with their documented types rather than sample values.

{
  "data": [
    {
      "lei": "string",
      "activity_year": "integer",
      "state_code": "string",
      "legal_name": "string",
      "n_applications": "integer",
      "n_originated": "integer",
      "n_approved_not_accepted": "integer",
      "n_denied": "integer"
      ... 9 more fields
    }
  ],
  "meta": { ... }
}

When to use it

HMDA Mortgage-Lending Book sits in the Banks group of the Data API. Reach for it when your work needs this data straight from the API: it comes back as JSON you can load into a notebook, a spreadsheet or a scheduled pipeline, with the dataset key hmda naming it the same way in the REST path, the Python SDK and the OpenAPI document.

Access and authentication

This dataset is in the Free tier. Send your API token in the Authorization header as a Bearer token, using a GET request to the endpoint above. The Free plan is the first plan that includes it. Check the plan comparison for request limits, and the data update schedule for when new filings reach the API.

Related datasets

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• Bank Trends: Quarterly time series of key metrics for one bank.
• FDIC Bank Demographics: FDIC institution demographics for one bank - CBSA/metro-micro classification, minority-status designation, head-office latitude/longitude, web URL, and office-count rollups, by as-of quarter.

Keep going

Browse every dataset, follow the setup walkthrough to make a first call, use the Excel add-in for formulas, or connect an assistant through the MCP server.

Python SDK

Install with pip install bankregreports and set BANKREG_API_TOKEN to your key.

import bankregreports

brr = bankregreports.BankReg()  # reads BANKREG_API_TOKEN
rssd_id = 852218  # JPMorgan Chase Bank, N.A.
result = brr.bank_hmda(rssd_id=rssd_id)