Industry Macro Context
PublicMacro context series: rates, yield curve spreads, breakeven inflation, mortgage rates, unemployment, CPI and GDP.
About this dataset
Industry Macro Context is a Public dataset in the Industry & Macro group of the BankRegReports Data API. The response carries 14 documented fields, sourced from FRED + FFIEC; mortgage rates: Freddie Mac Primary Mortgage Market Survey.
One row per quarter end, OLDEST first. Default 20 quarters; max 200. Cached 24h, quarterly macro doesn't change intraday.
Endpoint
GET /api/v1/industry/macro/ Parameters
| Name | Required | Description |
|---|---|---|
| quarters | optional | Number of recent quarters (default 20, max 200). e.g. 20 |
Response fields
| Field | Type | Description |
|---|---|---|
| quarter_end | string (date), nullable | |
| fed_funds_rate | string (decimal), nullable | |
| sofr_rate | string (decimal), nullable | |
| yield_curve_10y2y | string (decimal), nullable | |
| yield_curve_10y3m | string (decimal), nullable | |
| breakeven_5y | string (decimal), nullable | |
| breakeven_10y | string (decimal), nullable | |
| mortgage_30y | string (decimal), nullable | |
| mortgage_15y | string (decimal), nullable | |
| unemployment_rate | string (decimal), nullable | |
| cpi_yoy_pct | string (decimal), nullable | |
| core_cpi_yoy_pct | string (decimal), nullable | |
| real_gdp_qoq_ann_pct | string (decimal), nullable | |
| nonfarm_payrolls_yoy_pct | string (decimal), nullable |
Example request
curl "https://api.bankregreports.com/api/v1/industry/macro/" \ -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": [
{
"quarter_end": "string (date)",
"fed_funds_rate": "string (decimal)",
"sofr_rate": "string (decimal)",
"yield_curve_10y2y": "string (decimal)",
"yield_curve_10y3m": "string (decimal)",
"breakeven_5y": "string (decimal)",
"breakeven_10y": "string (decimal)",
"mortgage_30y": "string (decimal)"
... 6 more fields
}
],
"meta": { ... }
} When to use it
Industry Macro Context sits in the Industry & Macro 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 industry_macro 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
- Industry Snapshot: Industry-wide aggregate snapshot.
- Industry Trends: Industry-wide metric trends over time.
- Peer Groups: Standard peer-group definitions and rollups.
- Credit Union Industry Ratios: National credit union ratios by charter type (FICU, FCU, FISCU), quarterly from June 2023.
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 result = brr.industry_macro()