Datadory notebook
Construction materials price index Canada: forty-five years of building costs, delivered as keyed rows
1,744 datasets. Pick your catch. Every guide here is built on what the catalog can actually prove.
1,744 datasets. Pick your catch.
Which fields carry the analytical weight?
Four of the twelve fields locate every observation; the other eight make the panel dependable.
| Field | Type | Definition | Example |
|---|---|---|---|
| REF_DATE | date | Reference period in YYYY-MM form; the flagship reports on quarter-start months, so one value per quarter. | 2026-04 |
| GEO | string | Geography member - the fifteen-CMA composite, a province, or an individual CMA such as Toronto or Vancouver. | Fifteen census metropolitan area composite |
| Type of building | string | Building category with classification code - residential split into high-rise apartments, low-rise apartments, single-detached houses and townhouses; non-residential into commercial, industrial and institutional structures. | Non-residential buildings [622] |
| VALUE | number | Index level for the reference period on the 2023=100 base; null where suppressed or not yet available. | 110.3 |
| VECTOR | string | Permanent time-series identifier for one series across its full history - the handle any downstream refresh keys on. | v1617908148 |
| UOM / UOM_ID | string | Unit label plus stable numeric identifier pinning the index base across tables. | Index, 2023=100 / 451 |
| STATUS / SYMBOL | string | Quality flags carried on each row: preliminary versus final status and suppression symbols. | 1 |
Three details separate a careful model from a casual one:
- Coordinates are complete. All four dimensions ride on every row, so a Vancouver high-rise concrete cell is a filter away - no pivoting, no fuzzy label matching against provincial proxies.
- Flags are data, not decoration. Preliminary cells move when they finalize, and suppression marks tell you where a cut is too thin to publish rather than letting an absence pose as a reading.
- VECTOR makes joins permanent. A model keyed on vector identifiers survives table rebasing and vintage churn without remapping.
What can you actually build with it?
Contract escalation and indexing. Anchor escalator clauses and change-order formulas to a specific geography-building-type-division cell, so both sides of a contract resolve disputes against the same official series instead of a hand-collected number.
Procurement and bid forecasting. Read concrete, masonry and structural steel framing movements ahead of tender windows, using province and CMA cells to keep a national bid model honest about regional divergence - because a national line will happily hide a Calgary spike inside a country average.
Development feasibility. Separate high-rise from low-rise from single-detached trajectories so a pro forma reflects the building type actually being underwritten rather than an all-construction average.
How does the Canadian index compare with North American alternatives?
| Dataset | Grain | Geographic reach | Temporal shape | Where it wins |
|---|---|---|---|---|
| APA Engineered Wood Association Product and Market Data | Panel and engineered-wood production volumes aggregated by region and product family, plus 165+ product evaluation reports | United States and Canada | Quarterly production reports published about two weeks after quarter close | Production tonnage and specification context for the wood side of the basket |
| American Cement Association Market Intelligence and Forecasts | Five-year consumption outlooks, apparent-use estimates across 46 markets, sector spending projections across 16 sectors | United States nationally plus 56 states and areas | Refreshed three times per year; trend report covers 20 years of history | The forward view nobody else attempts - demand and forecast, not history |
Where should you go next?
Start with the Building Construction Materials Price Indexes product page sampled to your geographies, building types and divisions - it carries sample rows, the full twelve-field dictionary and coverage chips.
Pick up where this leaves off
Every one of these ships with sample rows before you commit to anything.
Building Construction Materials Price Indexes and Construction Price Indexes (Statistics Canada)
AGC Construction Data Hub (Materials Prices, Employment, Spending, State Fact Sheets)
APA Engineered Wood Association Product and Market Data
title · document_number · category …+4 more
American Cement Association Market Intelligence and Forecasts
product_series · geography · market_segment …+3 more
Eurostat Production in Construction Index
Want rows instead of a pitch? Name the datasets.
API, files, or your warehouse. Daily, weekly, or hourly.
Get a sampleQuestions worth asking
Which dataset holds the construction materials price index for Canada?
Statistics Canada's Building Construction Materials Price Indexes and Construction Price Indexes family, led by table 18-10-0289-01. It runs about 8,750 quarterly index series - roughly 310,000 datapoints on a 2023=100 base - across a fifteen-CMA composite, all ten provinces and named census metropolitan areas, from January 1981 to the current quarter. Datadory catalogs it at 9/10 and delivers it cut to your geographies, building types and divisions.
How far back does Canadian construction price data go?
The flagship table starts in January 1981 and runs to the current quarter, with inactive historical vintages of some utility and highway indexes reaching back to 1956. Companion relative-importance tables supply the annual weights behind each aggregate, and construction union wage-rate indexes run monthly.
Can I get a construction price index for Toronto or Vancouver specifically?
Yes. Up to fifteen census metropolitan areas publish their own cells alongside the composite, so high-rise apartment work in Vancouver or commercial construction in Toronto reads directly off the same table instead of being inferred from national or provincial lines.