Tier 4 — Volume · #22 of 23
YouTube CPM in Pakistan
Compare CPM scenarios for viewers in Pakistan, not simply creators who live there. The figures below are model defaults; use your own YouTube Studio reports to check actual advertiser demand.
CPM
$0.3–$1.5
≈ Rs 83–Rs 417
Modeled ad RPM
$0.17–$0.83
≈ Rs 45.9–Rs 229
Converted at ≈ 1 USD = Rs278
Benchmark snapshot 2026-10-20 · FX 2026-10-20
Pakistan earnings calculator
Adjust views, audience country and niche to compare directional scenarios. Defaults are model assumptions, not verified payouts. Explore more creator tools.
Estimated monthly earnings
PKRRs 11,468
Model scenario range Rs 6,116 – Rs 16,819 / month
- Modeled ad-only RPM
- Rs 61.16–Rs 168.19
per 1,000 views
- Advertiser CPM
- Rs 111.20–Rs 305.80
per 1,000 ad impressions
- Yearly projection
- Rs 137,610
same monthly estimate × 12
- Per 1M views
- Rs 114,675
midpoint scenario, not a payout
100% ad fill — optimistic scenario, not a guaranteed payout
Converted at ≈ 1 USD = Rs278 (approximate, not live). All results are shown in PKR.
Full-fill Ad Earnings Scenarios
1K views
Rs 45.9–Rs 229
≈ $0.17–$0.83
10K views
Rs 459–Rs 2,294
≈ $1.65–$8.25
100K views
Rs 4,587–Rs 22,935
≈ $17–$83
1M views
Rs 45,870–Rs 229,350
≈ $165–$825
Pakistan CPM by Niche
Compare the same metric, period, audience and video format. Changing language, length or upload date does not guarantee higher CPM or revenue.
FAQs — Pakistan
What is the average YouTube CPM in Pakistan?
Our directional CPM model uses $0.3–$1.5 (≈ Rs 83.4–Rs 417). Ad-only RPM at full fill and 55% creator share: $0.17–$0.83.
How much does YouTube pay for 1M views in Pakistan?
Our full-fill model implies Rs 45,870–Rs 229,350 for long-form advertising. This assumes one ad impression per view and a 55% creator share, not a guaranteed AdSense payout.
How should Pakistan audience benchmarks be used?
Compare your own Studio reports for matching periods and formats. Audience country is not creator residence. Public country ranges cannot establish your actual CPM; see our sources policy for the model's limitations.