How much does Skip Counting By 2 Song make on YouTube?

Skip Counting By 2 Song ยท by Have Fun Teaching

Estimated lifetime YouTube ad earnings
$3,650
on 521,371 views ยท ~$7.00 creator RPM
Per 1,000 views
$7.00
Per 1M views
$7,000
Recent month
$19

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$7.00/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10โ€“30ร— lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
21,588
21.59K
Total Estimated Earnings
$151.12
~$7.00 RPM
Avg per Month
$0.00

Peak Performance

๐Ÿ† Best Month -
$0.00
0 views
๐Ÿ“‰ Lowest Month -
$0.00
0 views
๐Ÿ‘๏ธ Most Views -
0

Projections

๐Ÿ”ฎ Next Month Estimate
$0.00
Based on current trend
๐Ÿ“… Annual Projection
$0.00
If current rate continues
๐Ÿ“Š Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

๐Ÿ’ก Future Feature: Full historical data (6+ months) will be available with a premium subscription. Currently showing all available data.

Monthly Breakdown

Based on view count changes between data points

Month Views Gained Estimated Earnings Growth
February 2026
1,223
1.22K
$8.56
March 2026
2,533
2.53K
$17.73
April 2026
3,248
3.25K
$22.74
May 2026
3,539
3.54K
$24.77
June 2026
3,556
3.56K
$24.89
July 2026
3,286
3.29K
$23.00
August 2026
2,865
2.87K
$20.05
September 2026
1,338
1.34K
$9.37
Total 21,588 $151.12

About These Estimates

Earnings use 2026 creator RPM data (revenue per 1,000 views, net of YouTube's 45% share). We blend per-category and Shorts-specific rates from public industry reporting.

Example net RPMs we apply:

  • Music: ~$0.80 / 1,000 views
  • People & Blogs: ~$1.20 / 1,000 views
  • Entertainment / Film: ~$1.50โ€“$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7โ€“$8 / 1,000 views
  • YouTube Shorts: ~$0.05 / 1,000 views

Real-world earnings vary with viewer geography, ad demand, audience demographics, YouTube Premium splits, and seasonality.