How much does 4 YouTuber Homes You Won’t Believe Exist! make on YouTube?

4 YouTuber Homes You Won’t Believe Exist! · by Stokes Twins

Estimated lifetime YouTube ad earnings
$144,869
on 120,724,238 views · ~$1.20 creator RPM
Per 1,000 views
$1.20
Per 1M views
$1,200
Recent month
$4,123

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$1.20/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10–30× lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
20,614,688
20.61M
Total Estimated Earnings
$24,737.63
~$1.20 RPM
Avg per Month
$0.00

Peak Performance

🏆 Best Month -
$0.00
0 views
📉 Lowest Month -
$0.00
0 views
👁️ Most Views -
0

Projections

🔮 Next Month Estimate
$0.00
Based on current trend
📅 Annual Projection
$0.00
If current rate continues
📊 Growth Trend
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Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

💡 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
April 2026
893,071
893.07K
$1,071.69
May 2026
5,001,495
5.00M
$6,001.79
June 2026
3,745,950
3.75M
$4,495.14
July 2026
4,006,784
4.01M
$4,808.14
August 2026
4,438,613
4.44M
$5,326.34
September 2026
2,528,775
2.53M
$3,034.53
Total 20,614,688 $24,737.63

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: ~$1.50–$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7–$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.