Bank Peer Ranking (Live)

About this dataset

Bank Peer Ranking (Live) is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 7 documented fields, sourced from FFIEC + FDIC.

Percentile rank of a bank within its peer group on one metric.

Endpoint

GET /api/v1/banks/{rssd_id}/peer-ranking/

Parameters

Name	Required	Description
rssd_id	required	Federal Reserve RSSD id. e.g. 852218
metric	required	Metric id to rank on (see the `metrics` tool). e.g. roa

Response fields

Field	Type	Description
rssd_id	integer	RSSD ID (count)
legal_name	string	Legal Name (text)
metric_id	string
metric_value	number (double), nullable
percentile	number (double), nullable
peer_count	integer, nullable
peer_median	number (double), nullable

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/peer-ranking/" \
  -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": [
    {
      "rssd_id": "integer",
      "legal_name": "string",
      "metric_id": "string",
      "metric_value": "number (double)",
      "percentile": "number (double)",
      "peer_count": "integer",
      "peer_median": "number (double)"
    }
  ],
  "meta": { ... }
}

When to use it

Bank Peer Ranking (Live) 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 bank_peer_ranking naming it the same way in the REST path, the Python SDK and the OpenAPI document.

Access and authentication

This dataset is in the Public 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

• Bank Directory: Directory of all FDIC-insured banks with identity + headline figures.
• Bank Snapshot: Latest filed-quarter snapshot for one bank: balance sheet, capital, ratios.
• Bank Trends: Quarterly time series of key metrics for one bank.
• HMDA Mortgage-Lending Book: Per-bank Home Mortgage Disclosure Act book - applications, originations, denials, and USD volumes by activity year and state.

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.
metric = "roa"  # return on assets
result = brr.peer_ranking(rssd_id=rssd_id, metric=metric)