Canadian building construction price intelligence (quarterly)
Quarterly Canadian building-construction price intelligence from Statistics Canada's Web Data Service (keyless): table 18-10-0289-01, building construction price indexes (2023=100, not seasonally adjusted) for the 15-CMA composite plus the 15 census metropolitan areas, residential and non-residential buildings, 1981 -> present. Per geography x building type x quarter: index, quarter-over-quarter and year-over-year growth, 4-quarter annualized pulse, trailing 12-quarter moving average, a documented 0-100 construction-cost pressure score with per-quarter ranks, accelerating/record-high flags. Statistics Canada Open Licence (commercial reuse allowed); source: Statistics Canada.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Source
- Statistics Canada
- Lignes
- 1 024
- Colonnes
- 19
- Cadence de la source
- Trimestrielle
- Dernière actualisation
- 27 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| quarter | string | Reference quarter, YYYY-Qn (the WDS refPer is the quarter-start month). (unit: quarter label) |
| country_code | string | ISO alpha-3 country code (CAN for every row). (unit: ISO 3166-1 alpha-3) |
| geo_code | string | Stable geography key: CA15 (fifteen-CMA composite), STJ, HAL, MON, QUE, MTL, OTT, TOR, LON, WPG, REG, SAS, CAL, EDM, VAN, VIC. Primary join key with quarter and building_type. (unit: code) |
| geo_label | string | Human-readable geography name (CMA or composite). |
| building_type | string | Building type: RES (residential buildings) or NRES (non-residential buildings). (unit: categorical) |
| building_type_label | string | Human-readable building-type name. |
| index_2023_100 | float | Building construction price index, 2023=100, not seasonally adjusted. Null only where upstream publishes no value (never zero-filled). (unit: index points) |
| qoq_pct | float | Quarter-over-quarter percent change in the index. (unit: percent) |
| yoy_pct | float | Year-over-year percent change in the index. Null for the first 4 quarters of each series (warm-up). (unit: percent) |
| annualized_qoq_pct | float | 4-quarter annualized pulse: (1 + qoq/100)^4 - 1, in percent. (unit: percent) |
| ma_12q | float | Trailing 12-quarter moving average of the index. Null until 12 quarters of history exist. (unit: index points) |
| cost_pressure_score | float | Documented 0-100 composite, per quarter and building type, across the 16 geographies: 100 * (0.5 * min-max(clip(yoy_pct, -10, +10)) + 0.5 * min-max(clip(annualized_qoq_pct, -8, +8))). High = construction costs running hot. Degenerate quarters score 50. (unit: 0-100 score) |
| pressure_rank | integer | Per-quarter, per-building-type dense rank of cost_pressure_score across the 16 geographies, 1 = hottest. (unit: rank) |
| pressure_tier | string | Tier of cost_pressure_score: p1 hot (>= 75), p2 (50-75), p3 (25-50), p4 cool (< 25). (unit: categorical) |
| accelerating_flag | float | 1 when yoy_pct rose vs the prior quarter (cost growth accelerating). (unit: binary) |
| record_high_12q_flag | float | 1 when the index equals the trailing-12-quarter maximum (inclusive). Null until 12 quarters of history exist or where the index is null. (unit: binary) |
| as_of | string | Latest reference quarter in the fetched panel (YYYY-Qn); identical across rows and across runs on the same vintage. (unit: quarter label) |
| source_table | string | Statistics Canada table number the row was parsed from (18-10-0289-01). (unit: code) |
| row_hash | string | Deterministic 16-hex row id: sha256('BCPI|<geo_code>|<building_type>|<quarter>'). (unit: hash) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| quarter | country_code | geo_code | geo_label | building_type | building_type_label | index_2023_100 | qoq_pct | yoy_pct | annualized_qoq_pct | ma_12q | cost_pressure_score | pressure_rank | pressure_tier | accelerating_flag | record_high_12q_flag | as_of | source_table | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-Q3 | CAN | CA15 | Fifteen CMA composite | NRES | Non-residential | 74,6 | 1,5 | 4,48 | 6,12 | 71 | 58,19 | 5 | p2 | 1 | 1 | 2026-Q2 | 18-10-0289-01 | 6181e4d2a04a3e4f |
| 2018-Q3 | CAN | CAL | Calgary | NRES | Non-residential | 82,7 | 1,22 | 2,48 | 4,99 | 80,5 | 23,56 | 9 | p4 | 1 | 1 | 2026-Q2 | 18-10-0289-01 | 6825c31657b07f6f |
| 2018-Q3 | CAN | EDM | Edmonton | NRES | Non-residential | 77,2 | 1,31 | 3,07 | 5,35 | 75,3 | 34,07 | 8 | p3 | 1 | 1 | 2026-Q2 | 18-10-0289-01 | c990b05939bc9369 |
| 2018-Q3 | CAN | HAL | Halifax | NRES | Non-residential | 77,8 | 1,57 | 3,6 | 6,42 | 74,6 | 51,77 | 6 | p2 | 1 | 1 | 2026-Q2 | 18-10-0289-01 | 56560cdaed4f43e5 |
| 2018-Q3 | CAN | LON | London | NRES | Non-residential | — | — | — | — | — | — | — | p4 | — | — | 2026-Q2 | 18-10-0289-01 | f256c349c767769f |
| 2018-Q3 | CAN | MON | Moncton | NRES | Non-residential | 73,2 | 1,53 | 3,39 | 6,24 | — | 47,46 | 7 | p3 | 1 | — | 2026-Q2 | 18-10-0289-01 | d54d6318dc0e13a2 |
| 2018-Q3 | CAN | MTL | Montréal | NRES | Non-residential | 72,2 | 1,83 | 5,09 | 7,54 | 68 | 80,64 | 3 | p1 | 1 | 1 | 2026-Q2 | 18-10-0289-01 | 50c10ad5f41bb406 |
| 2018-Q3 | CAN | OTT | Ottawa–Gatineau | NRES | Non-residential | 68,4 | 2,55 | 6,38 | 10,59 | 64,2 | 100 | 1 | p1 | 1 | 1 | 2026-Q2 | 18-10-0289-01 | 4a666b7d88f2ea45 |
| 2018-Q3 | CAN | QUE | Quebec | NRES | Non-residential | — | — | — | — | — | — | — | p4 | — | — | 2026-Q2 | 18-10-0289-01 | 5cc9439376c95b6f |
| 2018-Q3 | CAN | REG | Regina | NRES | Non-residential | — | — | — | — | — | — | — | p4 | — | — | 2026-Q2 | 18-10-0289-01 | 15f0ae28a80389d0 |
Profilé le 27 sept. 2026 à partir de l’instantané 20260927T165121Z-329cbb70f504
Mesuré- Complétude
- 90,8 %
- Lignes
- 1 024
- Colonnes
- 19
- Colonnes incomplètes
- 9
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| quartervarchar | 0 % | 27 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| geo_codevarchar | 0 % | 15 | — |
|
| geo_labelvarchar | 0 % | 19 | — |
|
| building_typevarchar | 0 % | 2 | — |
|
| building_type_labelvarchar | 0 % | 2 | — |
|
| index_2023_100double | 14,1 % | 391 | 55,5 → 124,5médiane 98,25 | 17 hors du 1er–99e centile |
| qoq_pctdouble | 14,8 % | 393 | -1,19 → 14,34médiane 1,04 | 18 hors du 1er–99e centile |
| yoy_pctdouble | 17,2 % | 640 | -1,09 → 34,46médiane 4,45 | 18 hors du 1er–99e centile |
| annualized_qoq_pctdouble | 14,8 % | 784 | -4,67 → 70,94médiane 4,22 | 18 hors du 1er–99e centile |
| ma_12qdouble | 30,5 % | 313 | 54 → 112,3médiane 86,45 | 14 hors du 1er–99e centile |
| cost_pressure_scoredouble | 17,2 % | 726 | 0 → 100médiane 51,01 | |
| pressure_rankbigint | 17,2 % | 18 | 1 → 16médiane 6 | |
| pressure_tiervarchar | 0 % | 4 | — |
|
| accelerating_flagdouble | 18 % | 2 | 0 → 1médiane 0 | |
| record_high_12q_flagdouble | 30,5 % | 2 | 0 → 1médiane 1 | |
| as_ofvarchar | 0 % | 1 | — |
|
| source_tablevarchar | 0 % | 1 | — |
|
| row_hashvarchar | 0 % | 1 057 | — |
|
- Actuelle
20260927T165121Z-329cbb70f504 · sha256 329cbb70f504…
1 024 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/statcan_construction_price_intel/ca_building_construction_price_quarterly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/statcan_construction_price_intel/ca_building_construction_price_quarterly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/statcan_construction_price_intel/ca_building_construction_price_quarterly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
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Citer cet instantané
Épinglé à l’instantané 20260927T165121Z-329cbb70f504 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
Statistics Canada. (2026). Canadian building construction price intelligence (quarterly) [Data set, snapshot 20260927T165121Z-329cbb70f504, sha256 329cbb70f504]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/fr/datasets/statcan_construction_price_intel/ca_building_construction_price_quarterly?snapshot=20260927T165121Z-329cbb70f504
@misc{dz_statcan_construction_price_intel_ca_buil_329cbb70,
title = {{Canadian building construction price intelligence (quarterly)}},
author = {{Statistics Canada}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/statcan_construction_price_intel/ca_building_construction_price_quarterly?snapshot=20260927T165121Z-329cbb70f504}},
note = {Snapshot 20260927T165121Z-329cbb70f504, sha256 329cbb70f504e694fdcc4f63b918c3a1417aa6eea9c564e33a838867616ab994; accessed 2026-09-27}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=statcan_construction_price_intel%2Fca_building_construction_price_quarterly&lang=fr&theme=auto&snapshot=20260927T165121Z-329cbb70f504&x=quarter&y=index_2023_100&agg=avg" title="Canadian building construction price intelligence (quarterly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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