Methodology

How the data gets here.

Every number on this dashboard traces back to an official statistical agency or international organization. This page explains how data flows from source to screen β€” and what happens along the way.

7
Data sources
110
Indicators
10
Categories
Pipeline
01

Ingest

Scheduled workers query each source API for new observations. Every fetch is logged with timestamp and response metadata.

02

Validate

Incoming data is checked for schema conformance, plausible ranges, and duplicate detection before storage.

03

Version

Each observation is stored with a vintage identifier. Revisions create new vintages rather than overwriting, ensuring full reproducibility.

04

Serve

The API normalizes units, applies display scaling, and delivers observations with full source attribution to the frontend.

Sources

OECD

SDMX v4

Cross-country comparable indicators via SDMX REST API. The primary source for harmonized data that enables direct Canada–US comparisons.

covers β†’ GDP, inflation, labour, trade, productivity

Statistics Canada

REST

Official Canadian statistics via Web Data Service. Provides granular domestic data unavailable through international aggregators.

covers β†’ CPI components, housing, labour force

Bank of Canada

Valet

Monetary policy decisions, interest rates, and financial market data through the Valet API.

covers β†’ Policy rate, yields, exchange rates

FRED

REST

Federal Reserve Economic Data for US series and select international comparisons.

covers β†’ US GDP, employment, rates, money supply

World Bank

REST

Global development indicators and long-run structural data for emerging and advanced economies.

covers β†’ Demographics, inequality, education

BIS

SDMX

Bank for International Settlements credit statistics, property prices, and financial stability metrics.

covers β†’ Credit-to-GDP, debt service, house prices

IMF WEO

Forecast

Official projections from the World Economic Outlook, updated semi-annually.

covers β†’ GDP, inflation, fiscal projections
110 indicators
Versioning

Vintage Tracking

Every observation is stored with a vintage identifier. When a source agency revises a data point β€” as routinely happens with GDP, employment, and other headline series β€” a new vintage is created rather than overwriting the existing value.

This preserves the full revision history and ensures complete reproducibility. If you looked at this dashboard on a specific date, you can reconstruct exactly what was shown, even after the underlying data has been revised.

v1 Β· initial
v2 Β· revised
v3 Β· final
Projections

Projection Methodology

Projection data comes exclusively from official sources β€” primarily the IMF World Economic Outlook, updated semi-annually. These are the same forecasts used by finance ministries and central banks worldwide.

When projections are displayed on indicator pages, the "implied daily path" is a simple linear interpolation from the last known actual observation to the projected target. This visual aid helps show the trajectory but should not be confused with real data or independent forecasts.

Actual
2.1%
● observed
Interpolated
2.3%
β—Œ implied
Projected
2.5%
β—† IMF WEO

This page describes the methodology as of the current implementation. Data pipelines and source configurations may evolve over time. For questions about specific indicators, see their individual detail pages.