Canadian building-permit construction intelligence (monthly)
Interroger dans l’atelierLe jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSVTélécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.
Monthly building-permit construction intelligence for Canada and the 13 provinces/territories (Statistics Canada table 34-10-0292-01, seasonally adjusted): total/residential/non-residential/multi-family permit values in millions of CAD plus new dwelling-unit counts, with MoM and YoY momentum, 3-month annualized growth, residential share, 12-month record-high and surge/slump flags, and a documented 0-100 construction-momentum score ranked per month (m1 strong .. m4 weak). Trailing 36 complete months. Statistics Canada Open Licence (commercial reuse allowed); source: Statistics Canada.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 504
- Colonnes
- 27
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 26 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| geo_name | string | English geography name (Canada + 13 provinces/territories). |
| geo_code | string | StatCan 2-letter geography code (CAN for Canada). |
| country_code | string | ISO alpha-3 country code (CAN for all rows). |
| month | string | Reference month, first day of month (ISO date). |
| as_of | string | Last complete month in the snapshot (pinned for idempotent re-runs). |
| value_total_mcad | float | Total value of building permits, seasonally adjusted. (unit: millions of CAD) |
| value_residential_mcad | float | Residential building-permit value, seasonally adjusted. (unit: millions of CAD) |
| value_nonresidential_mcad | float | Non-residential building-permit value, seasonally adjusted. (unit: millions of CAD) |
| value_multiple_mcad | float | Multiple-dwelling residential building-permit value, seasonally adjusted. (unit: millions of CAD) |
| dwellings_total | float | Number of new dwelling units, seasonally adjusted. (unit: units) |
| mom_pct_total | float | Month-over-month percent change of total permit value. (unit: percent) |
| yoy_pct_total | float | Year-over-year percent change of total permit value. (unit: percent) |
| yoy_pct_residential | float | Year-over-year percent change of residential permit value. (unit: percent) |
| yoy_pct_nonresidential | float | Year-over-year percent change of non-residential permit value. (unit: percent) |
| yoy_pct_multiple | float | Year-over-year percent change of multiple-dwelling permit value. (unit: percent) |
| yoy_pct_dwellings | float | Year-over-year percent change of dwelling-unit counts. (unit: percent) |
| mom_3m_ann_total | float | 3-month change in total permit value, annualized. (unit: percent per year) |
| residential_share_pct | float | Residential value as a share of total permit value. (unit: percent) |
| record_high_12m | boolean | True when total permit value is the trailing-12-month maximum. |
| surge_flag | boolean | True when total permit value rose >= 10% month-over-month. |
| slump_flag | boolean | True when total permit value fell >= 10% month-over-month. |
| residential_led | boolean | True when residential share >= 60% of total value. |
| momentum_score | string | 0-100 construction-momentum score: 100*(0.45*min-max YoY total value + 0.30*min-max 3-month annualized total + 0.25*min-max YoY dwelling units), each component winsorized (+/-100%, +/-60%, +/-100%) and min-max normalized across geographies within the month; 50 when degenerate. Null when any component is unavailable for that geography-month. (unit: score) |
| momentum_rank | string | Per-month momentum rank across geographies (1 = strongest); deterministic tie-breaks on total value then geography name. Null when the score is null. |
| momentum_tier | string | m1 strong (>=70) / m2 firm (>=45) / m3 soft (>=20) / m4 weak (<20); null when the score is null. |
| row_hash | string | SHA-256 (truncated) of the row's content fields. |
| source_retrieved | string | Source data vintage: latest reference month present in the retrieved vectors (content-pinned so identical re-fetches hash identically). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| geo_name | geo_code | country_code | month | as_of | value_total_mcad | value_residential_mcad | value_nonresidential_mcad | value_multiple_mcad | dwellings_total | mom_pct_total | yoy_pct_total | yoy_pct_residential | yoy_pct_nonresidential | yoy_pct_multiple | yoy_pct_dwellings | mom_3m_ann_total | residential_share_pct | record_high_12m | surge_flag | slump_flag | residential_led | momentum_score | momentum_rank | momentum_tier | row_hash | source_retrieved |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Saskatchewan | SK | CAN | 2023-08-01 | 2026-07-01 | 256,817 | 119,879 | 136,939 | 64,479 | 491 | 63,879 | 76,596 | 63,181 | 90,293 | 371,062 | 125,229 | 27,798 | 46,679 | true | true | false | false | 91,95 | 1 | m1 | 4e55b3606e9beed5 | 2026-07-01 |
| New Brunswick | NB | CAN | 2023-08-01 | 2026-07-01 | 192,251 | 119,592 | 72,66 | 69,067 | 538 | 15,292 | 63,573 | 45,677 | 105,034 | 85,008 | 31,22 | 129,977 | 62,206 | true | true | false | true | 88,02 | 2 | m1 | f04333a806220e94 | 2026-07-01 |
| Nova Scotia | NS | CAN | 2023-08-01 | 2026-07-01 | 308,327 | 203,523 | 104,804 | 109,545 | 850 | 3,371 | 40,475 | 20,441 | 107,5 | 32,345 | 20,226 | 229,214 | 66,009 | true | false | false | true | 80,64 | 3 | m1 | 9cd4b01572fa470a | 2026-07-01 |
| Manitoba | MB | CAN | 2023-08-01 | 2026-07-01 | 393,394 | 216,614 | 176,781 | 128,1 | 645 | -1,616 | 18,148 | 21,63 | 14,145 | 95,997 | 18,785 | 525,797 | 55,063 | false | false | false | false | 74,65 | 4 | m1 | f3c73b46367c35e8 | 2026-07-01 |
| Newfoundland and Labrador | NL | CAN | 2023-08-01 | 2026-07-01 | 43,949 | 28,961 | 14,987 | 8,944 | 103 | 15,677 | 1,102 | 18,761 | -21,468 | 90,948 | 5,102 | 310,552 | 65,897 | false | true | false | true | 68,51 | 5 | m2 | a2ba79a943e34e58 | 2026-07-01 |
| Alberta | AB | CAN | 2023-08-01 | 2026-07-01 | 1 331,811 | 928,185 | 403,626 | 443,738 | 3 635 | 6,319 | 0,064 | 0,621 | -1,195 | 13,134 | 3,15 | 13,363 | 69,693 | false | false | false | true | 56,34 | 6 | m2 | 8015d4a510dd302b | 2026-07-01 |
| British Columbia | BC | CAN | 2023-08-01 | 2026-07-01 | 2 022,652 | 1 101,238 | 921,414 | 814,443 | 2 869 | 18,361 | -3,725 | -32,688 | 98,201 | -37,165 | -46,564 | 38,86 | 54,445 | false | true | false | false | 55,52 | 7 | m2 | 7f599689a3b4e434 | 2026-07-01 |
| Ontario | ON | CAN | 2023-08-01 | 2026-07-01 | 5 010,404 | 3 047,275 | 1 963,129 | 1 775,791 | 8 164 | -1,581 | -10,478 | -19,665 | 8,841 | -19,776 | -17,61 | 30,22 | 60,819 | false | false | false | true | 55,22 | 8 | m2 | dac27b4181bd3c85 | 2026-07-01 |
| Canada | CAN | CAN | 2023-08-01 | 2026-07-01 | 11 658,188 | 6 933,438 | 4 724,75 | 4 096,655 | 20 732 | 0,676 | -3,948 | -15,445 | 19,998 | -14,843 | -18,175 | 20,89 | 59,473 | false | false | false | false | 54,51 | 9 | m2 | 8311218ec5620089 | 2026-07-01 |
| Yukon | YT | CAN | 2023-08-01 | 2026-07-01 | 12,705 | 2,142 | 10,563 | 0,076 | 12 | -74,714 | 35,868 | -60,891 | 172,664 | -97,306 | -42,857 | -48,326 | 16,86 | false | false | true | false | 44,47 | 10 | m3 | 5b20c9471f461643 | 2026-07-01 |
Profilé le 26 sept. 2026 à partir de l’instantané 20260926T041504Z-d1e04f2fa27e
Mesuré- Complétude
- 99,7 %
- Lignes
- 504
- Colonnes
- 27
- Colonnes incomplètes
- 6
20232026
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| geo_namevarchar | 0 % | 15 | — |
|
| geo_codevarchar | 0 % | 13 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| monthvarchar | 0 % | 33 | — |
|
| as_ofvarchar | 0 % | 1 | — |
|
| value_total_mcaddouble | 0 % | 444 | 0 → 14 748médiane 281,22 | 12 hors du 1er–99e centile |
| value_residential_mcaddouble | 0 % | 528 | 0 → 8 917médiane 157,43 | 12 hors du 1er–99e centile |
| value_nonresidential_mcaddouble | 0 % | 436 | 0 → 6 838médiane 105,09 | 12 hors du 1er–99e centile |
| value_multiple_mcaddouble | 0 % | 513 | 0 → 6 080médiane 83,53 | 6 hors du 1er–99e centile |
| dwellings_totaldouble | 0 % | 457 | 0 → 28 640médiane 637 | 6 hors du 1er–99e centile |
| mom_pct_totaldouble | 0 % | 457 | -100 → 3 483médiane -0,0027 | 12 hors du 1er–99e centile |
| yoy_pct_totaldouble | 0 % | 628 | -100 → 25 796médiane 9,58 | 12 hors du 1er–99e centile |
| yoy_pct_residentialdouble | 0 % | 571 | -100 → 23 875médiane 10,96 | 12 hors du 1er–99e centile |
| yoy_pct_nonresidentialdouble | 0 % | 583 | -100 → 55 320médiane 11,97 | 11 hors du 1er–99e centile |
| yoy_pct_multipledouble | 0,4 % | 537 | -100 → 92 853médiane 14,23 | 5 hors du 1er–99e centile |
| yoy_pct_dwellingsdouble | 1,8 % | 403 | -100 → 22 200médiane 8,85 | 5 hors du 1er–99e centile |
| mom_3m_ann_totaldouble | 0 % | 481 | -100 → 605 537 004médiane 7,2 | 12 hors du 1er–99e centile |
| residential_share_pctdouble | 0,2 % | 513 | 0 → 100médiane 62,53 | 12 hors du 1er–99e centile |
| record_high_12mboolean | 0 % | 2 | — |
|
| surge_flagboolean | 0 % | 2 | — |
|
| slump_flagboolean | 0 % | 2 | — |
|
| residential_ledboolean | 0 % | 2 | — |
|
| momentum_scoredouble | 1,8 % | 394 | 0 → 100médiane 52,05 | |
| momentum_rankbigint | 1,8 % | 16 | 1 → 14médiane 7 | |
| momentum_tiervarchar | 1,8 % | 4 | — |
|
| row_hashvarchar | 0 % | 493 | — |
|
| source_retrievedvarchar | 0 % | 1 | — |
|
- Actuelle
20260926T041504Z-d1e04f2fa27e · sha256 d1e04f2fa27e…
504 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
curl "https://datazimuts.com/v1/datasets/statcan_permit_signals/permit_construction_intel_monthly" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/statcan_permit_signals/permit_construction_intel_monthly").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_permit_signals/permit_construction_intel_monthly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260926T041504Z-d1e04f2fa27e et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
APA
Statistics Canada building-permit construction intelligence. (2026). Canadian building-permit construction intelligence (monthly) [Data set, snapshot 20260926T041504Z-d1e04f2fa27e, sha256 d1e04f2fa27e]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/fr/datasets/statcan_permit_signals/permit_construction_intel_monthly?snapshot=20260926T041504Z-d1e04f2fa27e
BibTeX
@misc{dz_statcan_permit_signals_permit_constructi_d1e04f2f,
title = {{Canadian building-permit construction intelligence (monthly)}},
author = {{Statistics Canada building-permit construction intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/statcan_permit_signals/permit_construction_intel_monthly?snapshot=20260926T041504Z-d1e04f2fa27e}},
note = {Snapshot 20260926T041504Z-d1e04f2fa27e, sha256 d1e04f2fa27e8811b82c5fea0999a98b2c5ccb223f26c1ac3d4f8d23f2c5fec8; accessed 2026-09-26}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=statcan_permit_signals%2Fpermit_construction_intel_monthly&lang=fr&theme=auto&snapshot=20260926T041504Z-d1e04f2fa27e&x=geo_name&y=value_total_mcad&agg=avg" title="Canadian building-permit construction intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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