Inflation (year-over-year percentage change)
The year-over-year percentage change in the Consumer Price Index (CPI), as published monthly.
Source: Bank of Canada Valet1,612 rowsUpdated: 9/21/2026
inflationcpipricescanada
Quality
100
Attribution
Bank of Canada (Valet web service)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Date of the observation, as published by the Bank of Canada (the observation's 'd' field). |
| series_id | string | Valet series name (for example 'BD.CDN.2YR.DQ.YLD'); the unique identifier of the series in the Bank of Canada Valet API. |
| series_label | string | Human-readable series label published by the Bank of Canada in the series detail. |
| value | float | Observed value for the series and date (the 'v' field of the Valet observation record). Units follow the series definition in the dataset description. Missing observations are null. |
Sample rows
| date | series_id | series_label | value |
|---|---|---|---|
| 1993-01-01 | INDINF_CPI_COMMON_M | CPI-common | 1.8 |
| 1993-02-01 | INDINF_CPI_COMMON_M | CPI-common | 1.9 |
| 1993-03-01 | INDINF_CPI_COMMON_M | CPI-common | 1.7 |
| 1993-04-01 | INDINF_CPI_COMMON_M | CPI-common | 1.8 |
| 1993-05-01 | INDINF_CPI_COMMON_M | CPI-common | 1.6 |
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/boc_valet/boc_inflation_yoy" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/boc_valet/boc_inflation_yoy").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/boc_valet/boc_inflation_yoy
Tip: fetch /llms.txt for the full machine-readable catalog.