CMA newcomer inflow intelligence, monthly

Commercial use OKFreshLicense: OGL-Canada-2.0

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Monthly permanent-resident admissions by census metropolitan area (CMA) of intended destination, January 2015 to the latest published month, with newcomer-demand enrichment: trailing-12-month totals, year-over-year change, newcomer momentum (trailing-12m vs prior-12m) with documented surging/accelerating/stable/cooling/declining tiers, national share, and an intensity index vs the 2019 pre-pandemic baseline. Who joins this: an online shop joins monthly PR admissions by CMA to its order geography to forecast newcomer-driven demand (household formation) by market; a subscription business reads momentum tiers to weight acquisition spend across CMAs. Source: IRCC monthly open-data updates.

Source: Immigration, Refugees and Citizenship Canada
Rows: 23,491
Columns: 18
Source cadence: Monthly
Last refreshed: Oct 1, 2026
Theme: demographics

Column	Type	Description
date	string	Month the admissions were recorded, as the first day of the month (YYYY-MM-DD). Primary join key for prediction models.
year	integer	Calendar year of the admissions month.
quarter	string	Calendar quarter of the admissions month (Q1..Q4).
month	integer	Calendar month number 1-12.
country	string	Destination country; always Canada for this dataset.
country_code	string	ISO 3166-1 alpha-3 code of the destination country; always CAN.
province	string	Province or territory of intended destination. Join key for province-level rollups.
cma_name	string	Census metropolitan area (IRCC's table also lists smaller census agglomerations) of intended destination, e.g. 'Toronto', 'Vancouver', 'Montréal'. Primary geographic join key: join to your own geography on this name plus province.
geo_type	string	'cma' for a census metropolitan area / agglomeration, 'non_cma_residual' for IRCC's 'Other - <Province>' non-CMA residual, 'unstated' for admissions with no stated destination.
admissions	integer	Number of permanent residents admitted in the month for this CMA, as published by IRCC (rounded to the nearest 5 for disclosure control; see caveats). Null when IRCC suppressed the small count ('--').
suppressed	boolean	True when IRCC withheld the count for this cell ('--' in the source, i.e. a true value of 1-4); admissions is null in that case.
admissions_yoy_pct	float	Year-over-year percent change of admissions vs the same month one year earlier for this CMA. Null when either side is suppressed or the base is zero.
admissions_ttm	integer	Trailing 12-month sum of admissions for this CMA. Null when any month in the window is suppressed (never a partial sum).
newcomer_momentum_pct	float	Trailing-12-month admissions vs the preceding trailing-12-month window, in percent -- the demand signal: positive means newcomer inflow into the market is accelerating. Null when either window is incomplete or the base is zero.
momentum_tier	string	Documented tier of newcomer_momentum_pct: 'surging' (>= +15%), 'accelerating' (+5%..+15%), 'stable' (-5%..+5%), 'cooling' (-15%..-5%), 'declining' (< -15%). Null when momentum is null.
share_of_canada_pct	float	This CMA's share of total Canadian permanent-resident admissions in the month (against IRCC's published Canada total), in percent.
newcomer_intensity_index	float	Admissions indexed to the CMA's own 2019 (last full pre-pandemic year) average month (= 100): 120 means the market is taking 20% more newcomers per month than in 2019. Null when any 2019 month is suppressed.
row_hash	string	Deterministic 16-hex content hash over province, cma_name, date, admissions and the suppressed flag; used for idempotent snapshots.

First 10 sample rows — a preview, not the complete dataset.

date	year	quarter	month	country	country_code	province	cma_name	geo_type	admissions	suppressed	admissions_yoy_pct	admissions_ttm	newcomer_momentum_pct	momentum_tier	share_of_canada_pct	newcomer_intensity_index	row_hash
2015-01-01	2,015	Q1	1	Canada	CAN	Alberta	Brooks	cma	10	false	—	—	—	—	0.08	15.6	4ab2fd71d8308fb9
2015-02-01	2,015	Q1	2	Canada	CAN	Alberta	Brooks	cma	—	true	—	—	—	—	—	—	240083b24adda5c7
2015-03-01	2,015	Q1	3	Canada	CAN	Alberta	Brooks	cma	30	false	—	—	—	—	0.14	46.8	180d4c5f508dfd5d
2015-04-01	2,015	Q2	4	Canada	CAN	Alberta	Brooks	cma	15	false	—	—	—	—	0.07	23.4	6e0e9ee3d23310a4
2015-05-01	2,015	Q2	5	Canada	CAN	Alberta	Brooks	cma	10	false	—	—	—	—	0.04	15.6	453682de491adbe2
2015-06-01	2,015	Q2	6	Canada	CAN	Alberta	Brooks	cma	15	false	—	—	—	—	0.06	23.4	971f848620982e3d
2015-07-01	2,015	Q3	7	Canada	CAN	Alberta	Brooks	cma	10	false	—	—	—	—	0.04	15.6	3611d1c26d954688
2015-08-01	2,015	Q3	8	Canada	CAN	Alberta	Brooks	cma	15	false	—	—	—	—	0.06	23.4	12e546586e4741d3
2015-09-01	2,015	Q3	9	Canada	CAN	Alberta	Brooks	cma	5	false	—	—	—	—	0.02	7.8	fe4ede3eb715558b
2015-10-01	2,015	Q4	10	Canada	CAN	Alberta	Brooks	cma	20	false	—	—	—	—	0.08	31.2	57ad490ea2eaee64

Profiled Oct 1, 2026 from snapshot 20261001T184653Z-a86c54bfbb8b

Measured

Completeness: 81.9%
Rows: 23,491
Columns: 18
Columns with gaps: 7

Rows per yeardate · 2015–2026 · 12 years

20152026

Column	Missing	Distinct	Range	Distribution
datevarchar	0%	115	—	2015-01-01169 2015-02-01169 2015-03-01169
yearbigint	0%	13	2,015 → 2,026median 2,020
quartervarchar	0%	4	—	Q16,084 Q26,084 Q35,746
monthbigint	0%	13	1 → 12median 6
countryvarchar	0%	1	—	Canada23,491
country_codevarchar	0%	1	—	CAN23,491
provincevarchar	0%	15	—	Ontario6,116 Quebec4,448 British Columbia4,031
cma_namevarchar	0%	156	—	(not stated)139 Abbotsford - Mission139 Alma139
geo_typevarchar	0%	3	—	cma21,545 non_cma_residual1,807 unstated139
admissionsbigint	19.9%	816	0 → 16,525median 20	188 outside 1st–99th percentile
suppressedboolean	0%	2	—	false18,809 true4,682
admissions_yoy_pctdouble	41.8%	2,834	-100 → 2,600median 0	137 outside 1st–99th percentile
admissions_ttmbigint	55.7%	2,288	0 → 160,675median 765	205 outside 1st–99th percentile
newcomer_momentum_pctdouble	65.7%	5,400	-76.28 → 378.46median 4.46	162 outside 1st–99th percentile
momentum_tiervarchar	65.7%	5	—	surging2,778 declining1,830 accelerating1,197
share_of_canada_pctdouble	19.9%	751	0 → 40.38median 0.08	189 outside 1st–99th percentile
newcomer_intensity_indexdouble	56.4%	2,013	0 → 1,586median 104	196 outside 1st–99th percentile
row_hashvarchar	0%	25,458	—	0000e1f87b41e69e1 00015d752a02139a1 0001defa38e5b71b1

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/ircc_cma_newcomer_inflow_intel/cma_newcomer_inflow_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/ircc_cma_newcomer_inflow_intel/cma_newcomer_inflow_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)

API endpoint: https://datazimuts.com/v1/datasets/ircc_cma_newcomer_inflow_intel/cma_newcomer_inflow_monthly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261001T184653Z-a86c54bfbb8b and its content hash, so readers get exactly the data you used.

APA

Immigration, Refugees and Citizenship Canada. (2026). CMA newcomer inflow intelligence, monthly [Data set, snapshot 20261001T184653Z-a86c54bfbb8b, sha256 a86c54bfbb8b]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/ircc_cma_newcomer_inflow_intel/cma_newcomer_inflow_monthly?snapshot=20261001T184653Z-a86c54bfbb8b

BibTeX

@misc{dz_ircc_cma_newcomer_inflow_intel_cma_newco_a86c54bf,
  title        = {{CMA newcomer inflow intelligence, monthly}},
  author       = {{Immigration, Refugees and Citizenship Canada}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/ircc_cma_newcomer_inflow_intel/cma_newcomer_inflow_monthly?snapshot=20261001T184653Z-a86c54bfbb8b}},
  note         = {Snapshot 20261001T184653Z-a86c54bfbb8b, sha256 a86c54bfbb8b394d2d2cb8a2d6ea4132c538b2cbb6867781227ba8562fa33fb8; accessed 2026-10-02}
}

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CMA newcomer inflow intelligence, monthly

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