Permanent residents by country of citizenship, monthly

Commercial use OKFreshLicense: OGL-Canada-2.0

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Monthly admissions of permanent residents to Canada by country of citizenship (217 countries and territories), January 2015 to the latest published month. Includes year-over-year change, trailing 12-month totals, and each country's share of monthly admissions. Source: IRCC monthly open-data updates.

Source: Immigration, Refugees and Citizenship Canada
Rows: 23,197
Columns: 13
Source cadence: Monthly
Last refreshed: Sep 27, 2026
Theme: demographics

Column	Type	Description
date	string	Month the admissions were recorded, as the first day of the month (YYYY-MM-DD), built from IRCC's EN_YEAR and EN_MONTH columns.
year	integer	Calendar year of the admissions month (IRCC column EN_YEAR).
quarter	string	Calendar quarter of the admissions month (IRCC column EN_QUARTER: Q1..Q4).
month	integer	Calendar month number 1-12, mapped from IRCC's EN_MONTH abbreviations (Jan..Dec).
country	string	Destination country; always Canada for this dataset.
country_code	string	ISO 3166-1 alpha-3 code of the destination country; always CAN.
citizenship_country	string	Country of citizenship of the admitted permanent residents (IRCC column EN_COUNTRY_OF_CITIZENSHIP).
admissions	integer	Number of permanent residents admitted in the month for this cell, as published by IRCC (rounded 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); 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 cell. Null when either side is suppressed or the base is zero.
admissions_ttm	integer	Trailing 12-month sum of admissions for this cell. Null when any month in the window is suppressed (never a partial sum).
share_of_total_pct	float	This country's share of total Canadian permanent-resident admissions in the month, in percent.
row_hash	string	Deterministic 16-hex content hash over the grain fields, date, admissions and suppressed flag; used for idempotent snapshots.

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

date	year	quarter	month	country	country_code	citizenship_country	admissions	suppressed	admissions_yoy_pct	admissions_ttm	share_of_total_pct	row_hash
2015-01-01	2,015	Q1	1	Canada	CAN	Afghanistan	90	false	—	—	0.7	85986a14af57bc1a
2015-02-01	2,015	Q1	2	Canada	CAN	Afghanistan	125	false	—	—	0.76	558c1f237e947820
2015-03-01	2,015	Q1	3	Canada	CAN	Afghanistan	220	false	—	—	1.01	249fe148efd2850d
2015-04-01	2,015	Q2	4	Canada	CAN	Afghanistan	135	false	—	—	0.64	398a34078e5d0d21
2015-05-01	2,015	Q2	5	Canada	CAN	Afghanistan	220	false	—	—	0.92	4c4329e49b527bbb
2015-06-01	2,015	Q2	6	Canada	CAN	Afghanistan	195	false	—	—	0.72	49b124403012a92d
2015-07-01	2,015	Q3	7	Canada	CAN	Afghanistan	250	false	—	—	0.9	8d76a4ac25bb8e58
2015-08-01	2,015	Q3	8	Canada	CAN	Afghanistan	145	false	—	—	0.6	fd32af75f8ccb030
2015-09-01	2,015	Q3	9	Canada	CAN	Afghanistan	375	false	—	—	1.4	d50d5b8ebb7ca993
2015-10-01	2,015	Q4	10	Canada	CAN	Afghanistan	270	false	—	—	1.13	2bd529ec5db46754

Profiled Sep 27, 2026 from snapshot 20260927T042652Z-456430173f9c

Measured

Completeness: 92.2%
Rows: 23,197
Columns: 13
Columns with gaps: 4

Rows per yeardate · 2015–2026 · 12 years

20152026

Column	Missing	Distinct	Range	Distribution
datevarchar	0%	115	—	2023-01-01180 2021-07-01179 2021-08-01178
yearbigint	0%	13	2,015 → 2,026median 2,020
quartervarchar	0%	4	—	Q16,056 Q25,977 Q35,678
monthbigint	0%	13	1 → 12median 6
countryvarchar	0%	1	—	Canada23,197
country_codevarchar	0%	1	—	CAN23,197
citizenship_countryvarchar	0%	231	—	Afghanistan139 Albania139 Algeria139
admissionsbigint	16.5%	735	5 → 17,540median 40	194 outside 1st–99th percentile
suppressedboolean	0%	2	—	false19,360 true3,837
admissions_yoy_pctdouble	28.8%	3,157	-98.67 → 8,291median 0	318 outside 1st–99th percentile
admissions_ttmbigint	39%	2,667	80 → 157,025median 760	284 outside 1st–99th percentile
share_of_total_pctdouble	16.5%	737	0.01 → 36.87median 0.15	194 outside 1st–99th percentile
row_hashvarchar	0%	31,557	—	0000d196e5a60b001 00033e79c206ad561 00050117655d98981

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_permanent_residents/pr_by_country_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/ircc_permanent_residents/pr_by_country_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_permanent_residents/pr_by_country_monthly

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

Cite this snapshot

Pinned to snapshot 20260927T042652Z-456430173f9c and its content hash, so readers get exactly the data you used.

APA

Immigration, Refugees and Citizenship Canada. (2026). Permanent residents by country of citizenship, monthly [Data set, snapshot 20260927T042652Z-456430173f9c, sha256 456430173f9c]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/ircc_permanent_residents/pr_by_country_monthly?snapshot=20260927T042652Z-456430173f9c

BibTeX

@misc{dz_ircc_permanent_residents_pr_by_country_m_45643017,
  title        = {{Permanent residents by country of citizenship, monthly}},
  author       = {{Immigration, Refugees and Citizenship Canada}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/ircc_permanent_residents/pr_by_country_monthly?snapshot=20260927T042652Z-456430173f9c}},
  note         = {Snapshot 20260927T042652Z-456430173f9c, sha256 456430173f9c6f480b90532e2aae744ee610ab7733463e008ffd58f8d5c60052; accessed 2026-09-27}
}

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Permanent residents by country of citizenship, monthly

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