Integrated Oil & Gas · Statistics Canada

Statistics Canada Energy Statistics

Datadory delivers statistics canada energy statistics data covering Canada's official energy record - monthly provincial supply and disposition of crude oil and equivalent across twelve geographies and thirty-five commodity flows, from in-situ bitumen through exports and inventories, beside electricity, fossil fuel and pipeline series, delivered daily, weekly, or hourly.

API, files, or your warehouse. Daily, weekly, or hourly.

What is Statistics Canada Energy Statistics?

Statistics Canada Energy Statistics is the Integrated Oil & Gas catalog's national-accounting record: the federal statistical office's entire energy subject area, restructured into rows a warehouse can join. Four sub-topics organize the material - Electricity and renewable energy, Energy supply and use, Fossil fuels and Pipelines - and the subject area fronts headline indicators worth memorizing: 25.8 million cubic metres of crude oil and equivalent production for May 2026, a +9.0% twelve-month change, beside 708.8 million gigajoules of marketable natural gas.

The upstream centrepiece is the supply-and-disposition-of-crude-oil-and-equivalent table, cube 25-10-0063-01, successor to the CANSIM 126-0003 series analysts traded for decades. Three dimensions span the whole Canadian crude balance: twelve geography members, thirty-five commodity flows, two units of measure. One month of that cube runs to roughly six hundred cells, and each sits inside a wider shelf of related energy tables covering electricity generation through pipeline throughput.

Official provenance, provincial resolution and a monthly rhythm in one consistent schema is the combination nobody else offers for Canada - which is why this record scores 8/10 in Datadory's rubric against a catalog mean of 7.81. Get a sample of this dataset and inspect the provinces and flows you actually model.

What do sample rows look like?

Dimension triplets first - the identifying half of every row, exactly as a verified pull returned them:

Geography              : Alberta
Supply and disposition : In-Situ crude bitumen production
Units of measure       : Cubic metres

Geography              : Canada
Supply and disposition : Crude oil production
Units of measure       : Barrels

Geography              : Saskatchewan
Supply and disposition : Exports
Units of measure       : Cubic metres

Read together they show why the schema earns its keep. The first row names Alberta's in-situ bitumen stream - the oil sands measured where they are produced rather than blended into an aggregate. The second takes the national production line in barrels, the unit dimension doing visible work. The third isolates Saskatchewan's exports outright.

Every triplet carries a value cell and a monthly reference period; the published May 2026 national reading was 25.8 million cubic metres of crude oil and equivalent, up 9.0% on the year. Because geography, flow and unit sit in explicit columns instead of being parsed out of labels, pivots come out right the first time and joins against your own asset master hold up.

What fields does the dataset include?

Five fields define every observation, each definition checked against the cube's own metadata during the August 2026 research pass and carried at verified confidence. Three are dimensions - Geography, Supply and disposition, Units of measure - and stack into the natural key; REF_DATE stamps the monthly reference period; VALUE holds the reported quantity.

The thirty-five flow members are where the analytical wealth sits: crude oil production split heavy versus light/medium, net field production, non-upgraded bitumen, in-situ and mined bitumen tracked separately, synthetic crude, condensate and pentanes plus, imports, inputs to refineries, exports to the United States by pipeline and by other modes, and opening and closing inventories at fields, transporters and refineries. Production-mix shifts, export-mode splits and inventory cycles all fall out of one column's membership list.

Companion cubes - marketable natural gas, electricity and renewables, pipelines - carry their own member lists and unit sets, so they fold under additional fields on request rather than being promised blind.

What does coverage look like across geography, time and granularity?

Geography - twelve members: Canada as a whole, regional aggregates including the Atlantic provinces, then Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia and the Northwest Territories individually. Alberta and Saskatchewan resolve as their own rows, which is the difference between modeling the oil sands and squinting at a national average.

Temporal - monthly reference periods, with selectors reaching back roughly a decade and historical CANSIM predecessors extending select series further. Reference months land behind real time by the width of a compilation cycle, so plan backfill windows accordingly; the newest headline readings observed during research ran to May 2026.

Granularity - province-or-territory by commodity-flow by month, with every figure carried in twin unit variants, cubic metres and barrels. Roughly six hundred cells a month for the crude cube alone, and dozens of related energy tables beside it.

Against the wider catalog - 1,744 datasets averaging 7.81 - this slice scores 8/10, lifted by verified field documentation and clean provincial resolution.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Your cadence is yours to set regardless of the monthly rhythm of the underlying series - a weekly load keeps provincial balance dashboards current between reference months, and nobody babysits the plumbing. Every delivery ships the full field dictionary above, sample rows for validation, and the coverage profile mapped to the provinces, flows and units you named.

Who uses this data, and for what?

  • Provincial crude-balance modeling - production, imports, refinery inputs, exports and inventories assembled into one monthly balance per jurisdiction, ready for downstream models without stitching spreadsheets.
  • Oil sands composition tracking - in-situ versus mined bitumen, synthetic crude, condensate and pentanes plus as separate series, so diluent demand and upgrading capacity debates get grounded in numbers.
  • Export-flow monitoring - shipments to the United States split by pipeline versus other modes, the split egress-capacity arguments turn on.
  • Inventory-cycle analysis - opening and closing stocks at fields, transporters and refineries, the storage curve traders and midstream planners watch.
  • Market sizing and due diligence - official province-by-commodity-flow figures cited to a national statistical office, with a persistent DOI behind every table for the appendix.

Worked applications by role sit on the data scientists, investors and quants and competitive intel pages.

Which personas get the most value?

Data scientists and ML engineers get monthly provincial features on one stable three-dimension key; see data scientists use cases. Investors and quant researchers get backtestable Canadian crude fundamentals without hand-copying tables; see investors quants use cases. Market researchers and consultants get citable official statistics for sizing work; see market researchers use cases. Journalists, academics and students get authoritative monthly production and trade figures with clean provenance; see journalists academics use cases. Competitive intelligence and product teams read provincial export and inventory shifts as supply-position signals; see competitive intel product teams use cases. Developers and data-product builders wire a maintained national-statistics feed into dashboards without maintaining their own collection plumbing; see developers builders use cases.

How does it compare to alternatives in its slice?

Within integrated oil and gas data, this record owns sub-national Canadian completeness: twelve geographies, thirty-five commodity flows, inventories included, one monthly schema. The neighbours own different jobs. The Alberta Energy Regulator's Statistical Reports go deeper on one province - reserves and well-level texture - but stop at the border. The EIA International Energy Statistics span 200-plus countries yet flatten to national totals. The JODI Oil & Gas World Database compiles country-reported flows across dozens of economies with no provincial layer anywhere. Eurostat Energy Statistics is the European structural counterpart. None of them publish provincial Canadian supply-and-disposition, the US-bound pipeline-versus-other-modes split, or field-versus-refinery inventory positions.

What should I know before requesting a sample?

Three things, stated up front.

First, this is a monthly accounting cube, not a tick stream. Reference months run behind real time by the length of a compilation cycle, and revisions land as figures firm up - treat the newest month as provisional in any model that trades on it.

Second, the verified dictionary covers the five fields above. Companion cubes for natural gas, electricity and pipelines carry their own member lists and are pinned against live records when we cut your sample - name the ones you want and they arrive in the same shape rather than as a surprise.

Third, units are a column, not a conversion chore. Every figure exists in cubic metres and barrels, so pick one canonical unit for your warehouse and the dual reporting your US-facing stakeholders ask for comes free of arithmetic. Tell us the provinces, flows and period range you care about and the sample comes back shaped to them.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - Statistics Canada Energy Statistics (one observation per geography x commodity-flow x unit x month)
fieldtypedefinitionexample
GeographyenumDimension 1: Canada, regional aggregates, province or territory - twelve members spanning the national total to individual producing jurisdictions.Alberta
Supply and dispositionenumDimension 2: the commodity-flow member being measured - production, imports, inputs to refineries, exports, or an inventory position across 35 members.In-Situ crude bitumen production
Units of measureenumDimension 3: the reporting unit attached to the value.Cubic metres
REF_DATEdateReference period of the observation, at monthly frequency.2026-05
VALUEnumberReported quantity in the selected unit.25800000
Additional fields on request-Companion-cube schemas (marketable natural gas, electricity and renewables, pipelines) with their own member lists and unit sets; member-code and hierarchy metadata behind the labelled dimensions; status markers separating preliminary from revised figures; historical CANSIM predecessor series extending flows earlier than the current online window - pinned against live records when your sample is cut.-

Questions buyers ask

What does statistics canada energy statistics data include?

Four sub-topics - Electricity and renewable energy, Energy supply and use, Fossil fuels and Pipelines - with the flagship being the monthly supply-and-disposition cube for crude oil and equivalent: twelve geography members, thirty-five commodity flows and twin units of measure, roughly six hundred cells per month.

How far back does the data go?

Online selectors reach back roughly a decade, and historical CANSIM predecessors of the crude table extend select series earlier still. The exact earliest observation of the current cube is pinned during sample preparation so your backtest window starts on solid ground.

Which geographies are covered?

Twelve members: Canada as a whole, regional aggregates including the Atlantic provinces, then Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia and the Northwest Territories individually. Producing provinces stand as their own rows rather than dissolving into a national average.

Does the data separate oil sands production streams?

Yes. In-situ and mined bitumen are distinct members, alongside non-upgraded bitumen, synthetic crude, condensate, pentanes plus, and heavy versus light/medium conventional crude - so diluent demand, upgrading throughput and production-mix shifts read directly off one column's membership.

Can figures be delivered in barrels instead of cubic metres?

Both. Unit of measure is a dimension of the cube, so every figure exists in cubic metres and barrels simultaneously. Pick one canonical unit for your pipeline and report the other to US-facing stakeholders without touching a conversion factor.

Can a sample be cut to specific provinces and commodity flows?

Yes. Name the provinces, flows, units and period range and the sample arrives shaped to that scope with the full field dictionary attached. Companion cubes for natural gas, electricity and pipelines can ride along, pinned to the same verified standard.

Notes on this record

  • Above the catalog mean Datadory scores this record 8/10 on its 0-10 rubric, against an average of 7.81 across 1,744 cataloged datasets.

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