Canada’s most-suspected applicants are also the ones it approves most
In IRCC’s security screening, Chinese nationals account for more than a third of all screening volume — more than the next four countries (Iran, India, Ukraine, Pakistan) combined. A Chinese applicant’s chance of being sent for comprehensive security screening is more than ten times an Indian applicant’s. Yet set that screening against outcomes and the answer is awkward: China has the highest approval rate of any large source country Canada sees, 80.1%, well above the national average of 59.6% and above India’s 63.6%. Using the same ATIP file, this piece places China and India side by side and asks three things: whether extra screening is the exception or the norm for a Chinese applicant; whether the basis for that screening holds up; and what the resources it consumes actually buy.
- Chinese applicants’ screening rate
- 3.5%11× the Indian rate, 4.1× the national average
- China’s share of national screening
- 37%while China is only 9.0% of all applications
- China’s unfavourable-result rate
- 0.62%below the national 0.80% and India’s 1.3%
Extra screening is the norm for Chinese applicants
Before arguing about fairness, one basic fact has to be settled: how common is it, really, for a Chinese applicant to be singled out for comprehensive security screening. China and India are Canada’s two largest immigration source countries, and setting them side by side is far more telling than comparing China against any small country — both run to hundreds of thousands of applications, so the proportions are not distorted by a tiny denominator. The two charts below give the answer: for Indian applicants, hitting a security screening is basically the exception; for Chinese applicants, it has become close to routine.
Three streams, one direction
Referral to comprehensive security screening — by application stream
One bar each for China, India and the national average within every stream; the length is the share of that stream's applications referred to comprehensive security screening. The bar tip shows the rate and how many times the national average it is. All three streams share one scale, so the bars compare directly across streams.
For every 100 Chinese who apply to immigrate, 12 are sent for security screening
Out of every 100 permanent-residence applicants, how many are sent for comprehensive screening
Each grid holds 100 cells; one cell is one person who filed a permanent-residence application in 2025. The filled cells are the share referred to CBSA/CSIS for comprehensive screening, rounded to the nearest whole cell; the exact rate sits above each grid and the raw counts below.
2,444 / 20,430
1,150 / 88,395
14,587 / 485,320
Does the basis for the screening hold up?
A high screening rate is not in itself unfair — if it is high where there is genuine cause, that is exactly what security screening is for. So the real question is: in whose name are these screenings opened, on whom do they fall, and is it a fluke of one year. The file’s own categories happen to answer all three, and the answers point the same way: screening of Chinese nationals is concentrated on a single legal ground, falls overwhelmingly on the most ordinary visitors, and has held for six years running.
One clause of law carries 99.9% of the screening
Which legal ground each screening was opened under, and which application type it fell on
The upper bar splits the country's entire 2025 screening total by legal ground; the lower bar looks only at the temporary-residence stream, split by application type. Each bar fills its full width by share, so a very small segment is barely visible — read the exact counts in the breakdown beneath.
This is not one anomalous year
Cumulative comprehensive screenings 2019–2025 — top 12 countries
The bar length is the total comprehensive security screenings opened against that country between January 2019 and December 2025; the tip shows the count and its share of the global cumulative total. China is marked warm.
What do these resources buy?
Security screening is not free. Every comprehensive screening consumes CBSA and CSIS analytical labour and adds months, sometimes years, to an applicant’s wait. So the last question matters most: what does this investment buy? The two charts below read IRCC’s published screening outcomes directly, then set them against who ends up approved.
The extra screening of Chinese applicants finds almost nothing
How often a screening ends in an unfavourable result — by nationality
Each bar is one country, filled to its unfavourable-result rate — non-favourable results in 2020–2025 over referrals in 2019–2024, offset by a year because a screening concludes about a year after referral. The dashed line is the national mean. Only countries with at least 3,000 screenings appear (14 in all), sorted so the nationalities screening genuinely catches sit on top.
The most heavily screened large country is also the most approved
Screening rate against temporary-residence approval rate — large source countries
One dot per country. The x-axis is the 2025 security-screening rate (log scale), the y-axis the 2025 temporary-residence approval rate, and the dot size tracks application volume. The two dashed lines are the national average screening rate and the national average approval rate, splitting the frame into quadrants: bottom-right is "heavily screened, low approval", top-right "heavily screened, high approval". China and India are marked warm and labelled. Only countries with at least 25,000 finalized temporary-residence applications are shown (31 in all), to avoid small-denominator artefacts.
Opinion: writing suspicion into the process is not the same as controlling risk
Put the three parts’ answers together and one thread is clear. First, for a Chinese applicant, being sent for comprehensive security screening is no longer the exception: overall it is more than ten times the rate for Indian applicants, and on the immigration stream it is close to one in every eight. Second, almost all of these screenings are opened under the same legal ground — 15,576 of 15,584 invoke s.34 (security) — and nearly three quarters of them (11,585) land on the most ordinary visitor-visa applications, not students, not workers. A screening regime genuinely opened on case-by-case risk could hardly reach so uniform a conclusion across a population of hundreds of thousands. Third, we no longer have to infer the payoff. IRCC has since released the screening results, and they are meagre: only 0.62% of the screenings of Chinese applicants end in a non-favourable finding, below both the national average of 0.80% and India’s 1.35%, while the nationalities screening genuinely catches — Afghanistan, Ukraine, Russia — return an unfavourable result at four to five times China’s rate.
The most plausible explanation is not conspiracy but inertia: once a nationality criterion is written into the referral rules, it triggers at near-zero marginal cost, over and over, unchanged for six years. The cost does not show up on a budget line — it falls on individual applicants who wait an extra 8 months, 18 months, sometimes longer, on admission letters that expire in the waiting, on weddings and funerals missed. It also falls on the limited analytical capacity of CBSA and CSIS: hours spent on 15,584 files that will be approved eight times out of ten are hours not spent elsewhere.
Testing whether a security-screening regime works does not require seeing anything classified. It takes one question: if the extra screening tied to a given nationality were removed, would more people be stopped, or the same number? For the year this piece first asked it, the answer had to be inferred. It no longer does: IRCC has published screening conclusions by nationality, and for Chinese applicants the answer is close to “the same number” — more than 99 screenings in 100 conclude favourably. Once the extra scrutiny changes almost nothing about who is found inadmissible, the label “security screening” becomes hard to tell apart from “sorting by passport”.
Three objections to this piece, and my replies
“Screening deters on its own; genuinely high-risk people simply never apply.” This cannot be falsified or confirmed with the file. But deterrence only works if applicants know in advance that they will be screened — and IRCC’s referral rules are never published, so most applicants only discover mid-wait that they were screened at all. A mechanism you learn about only after the fact can hardly deter beforehand.
“Section 34 covers state actors, and China’s circumstances make its scope genuinely wider.” This is the objection the piece takes most seriously. But if that were the basis, the screening should concentrate on applicants connected to state institutions, not on 11,585 ordinary visitor-visa applications. The right move is to write the criterion down and publish it, not to use an entire nationality as a proxy.
“A high approval rate is exactly what proves the screening works — it clears the innocent.” If so, the number that settles it is the screening’s marginal effect: of the people screened, how many were found inadmissible. That number has now been released, and it is small — a 0.62% non-favourable rate on Chinese applicants, below the national average. An 80.1% approval rate paired with a 0.62% unfavourable-result rate reads less like a filter that clears the innocent than like a checkpoint that, for the great majority, only delays.
Method and limits
The referral file counts the times screening was opened, not the number of people screened — an applicant opened to more than one screening type is counted more than once, so a rate over “applications” should be read as “screenings per application”. The unfavourable-result rates draw on a second release (OPP-DART-2025-34337) that reports non-favourable results by nationality and year. Because a screening concludes about a year after referral, the headline rate offsets the windows by a year — non-favourable results in 2020–2025 over referrals in 2019–2024. Suppressed result counts (a printed “--”, meaning 1–4) are floored to zero, so every rate is a lower bound, and the most recent referral cohorts have not finished concluding, so heavy recent screeners read slightly low. Both make China’s low rate conservative rather than flattering. The original files are scanned images, so the figures were read by OCR and checked against the source one by one. Every chart can be switched to its underlying data table.