Research · Live Analytics  ·  Updated May 9, 2026  ·  Refresh cadence: Quarterly

F1 Visa Interview Data Insights — What 6,867 Real Interviews Reveal

A live analytics dashboard from Mainaka's canonical dataset. Every chart on this page is computed from 60,381 normalized question-answer pairs across India's five U.S. consulates.

The patterns below underpin every Mainaka article, tool, and AI mock interview. They are not commissioned research; they are the operational analytics of the platform itself, made publicly visible. Methodology, source provenance, anonymization process, and statistical conventions are documented in detail at /methodology/.
6,867
Unique interviews analyzed
60,381
Q-A pairs normalized
5
India consulates
7
Question categories
2018-25
Time range
8.79
Avg Q-A per interview

CHART 01Approval Rate by Consulate

The dataset's approval rate by consulate. The aggregate 90.4% rate is structurally higher than current State Department FY2025 figures because applicants who experience approvals are more likely to share their accounts publicly. See Methodology · Limitations for context.

Bar chart · Per consulate

Dataset approval rate by Indian U.S. consulate

Computed from 6,684 in-scope interviews (excluding 183 undecided). Hyderabad has the highest rate at 92.2%; Mumbai the lowest at 88.2%.

Takeaway: Hyderabad's higher dataset approval rate aligns with the consulate's pattern of asking more thorough funding-chain questions only when the case is going well — meaning approved candidates field more questions, not fewer. Mumbai's lower rate reflects its faster, more aggressive funding interrogation style.

CHART 02Question Category Frequency by Consulate

The seven primary question categories from our taxonomy, with the percentage of interviews at each consulate where each category appeared at least once. This single matrix encodes the entire "consulate personality" pattern that drives our cornerstone articles.

Heatmap · 7 categories × 5 consulates

What each consulate actually asks about

Each cell shows the percentage of interviews at that consulate where the question category appeared at least once. Darker cells = higher frequency.

Category
Mumbai
Delhi
Hyderabad
Chennai
Kolkata
0–10% 10–20% 20–35% 35–55% 55–75% 75%+
Takeaway: Mumbai dominates funding interrogation (84.3%). Chennai uniquely emphasizes academic profile (57.5%) and career planning (14.8%) — the highest career/return rate of any consulate. Delhi has the highest university-question rate (22.3%) but the lowest funding rate. Each consulate has a clear distinctive fingerprint.

CHART 03Top 10 Most-Asked Question Patterns

The single most-asked question across all 6,867 interviews is "Who is sponsoring you?" — appearing in 25.5% of interviews. This is followed by funding-related and university-rationale questions. Procedural questions (passport, fingerprints) are excluded.

Horizontal bar · Aggregate frequency

Most-asked question patterns across all 5 consulates

Frequency = percentage of all interviews where the question pattern appeared at least once. Patterns are matched via a versioned regex library (12-38 patterns per question type).

Takeaway: Eight of the top ten most-asked questions are funding-related or career/return-related. "Why this university?" (5.6%) is asked less often than expected, but its distribution between approved and refused interviews is what makes it the universal refusal trigger — see Chart 4.

CHART 04"Why This University?" — The Universal Refusal Trigger

The single most refusal-clustered question in the dataset, broken down by consulate. The gap between refused-cohort frequency and approved-cohort frequency is positive at every consulate, with Mumbai showing the largest gap (+14.8pp).

Paired bar · Approved vs Refused

"Why this university?" question rate — approved vs refused interviews

Each consulate's bar pair shows the percentage of approved (left) vs refused (right) interviews containing the "Why this university / course / program?" question family. Refused frequency is higher at every consulate.

Takeaway: The aggregate +10.5pp gap (29.8% refused vs 19.3% approved) is the largest of any single question in the dataset. Mumbai's +14.8pp gap is striking — Mumbai officers ask this question rarely overall, but when they do, it disproportionately ends in refusal. Read the full analysis in "Why This University?" — The Universal Refusal Trigger.

CHART 05Funding Question Subtypes

Funding is the most-tested category in any F1 interview. But within funding, the specific subtype matters. "Who is sponsoring you?" dominates at 30.1%, followed by "Annual income?" at 17.4% — a question that appears in only 3% of approved Kolkata interviews but 12% of refused Kolkata interviews.

Bar chart · Aggregate frequency

Funding question subtypes by frequency

Within the broader Funding & Sponsorship category, individual question subtypes vary widely in frequency. Sponsor identification is the most common; tuition cost the rarest.

Takeaway: "Who is sponsoring you?" is the single most refusal-clustered funding question across 4 of 5 consulates. The vague answer pattern ("my parents are sponsoring") fails this question; the specific pattern (named primary sponsor + amounts + bank named) succeeds. See Financial Documents Checklist for the structural answer framework.

CHART 06Q-A Pair Distribution

How many distinct question-answer exchanges does a typical F1 interview contain? The dataset shows a clear bell curve centered at 6-12 exchanges, with the median interview containing approximately 9 Q-A pairs.

Histogram · Per interview

Q-A pairs per interview — distribution

Most F1 interviews involve 6-12 distinct question-answer exchanges. Very short interviews (0-2 exchanges) often correspond to fast approvals or fast refusals; very long interviews (17+) often correspond to thorough Hyderabad-style funding-chain probes.

Takeaway: The "average F1 interview" lasts approximately 9 question-answer turns. Interviews under 6 turns are unusual and often signal the case has been decided early — either way. The 17+ tail represents thorough probing typical of Hyderabad funding-chain verification.

KEY FINDINGSFive Patterns That Decide F1 Cases

Pattern 01 — Universal refusal trigger

"Why this university?" appears in 29.8% of refused interviews vs 19.3% of approved — the largest single-question gap in the dataset. It is the only question that clusters in refusals at all five consulates simultaneously.

Pattern 02 — Mumbai's funding interrogation

"What does your father do?" appears in 30% of all Mumbai interviews — the highest single-question rate of any Indian consulate. Mumbai's decision-making is funding-first; weak funding answers rarely recover later in the interview.

Pattern 03 — Hyderabad's thorough probe

Hyderabad has the highest funding question rate (75.1% of approved interviews) and the highest dataset approval rate (92.2%). Hyderabad officers ask more questions when the case is going well, not fewer — meaning thorough preparation rewards rather than penalizes.

Pattern 04 — Chennai's narrative coherence test

Chennai is the only consulate where Career & Return questions appear at meaningful frequency (14.8%). Chennai officers test whether past, present, and future align — and refuse when the narrative breaks coherence between academic profile and stated career goal.

Pattern 05 — Sponsor specificity is the divider

"Who is sponsoring you?" is the single most refusal-clustered funding question across 4 of 5 consulates. Vague sponsor identification ("my parents") fails; specific identification (named primary sponsor + amount + bank) succeeds. The funding chain matters more than the funding amount.

Practice with the same data that informs these insights

Mainaka's free AI mock interview is calibrated on the canonical dataset visualized above. The mock asks questions the way each Indian consulate actually asks them — and reacts to weak answers the way real officers do.

Start Free Mock → All tools currently free — Mainaka is in its outcome-data phase, building real-world evidence before launching paid plans later in 2026.