Cooking Time
UCBoX6D1YpPOPmc2rp2srCMw Created on YouTube: 09.07.2018 Lifestyle Open on YouTube
First seen in analytics: 09.04.2026
Subscribers
150 000
+1 000 / 30d
Views
72 592 069
+1 482 979 / 30d
Videos
2 060
+39 / 30d
Global Rank
#3,250
Topic Rank
#974
Lifestyle
Est. Monthly Earnings
$2,224 – $6,673
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-09-09 149 000 — 71 109 090 — 2 021 —
2026-09-10 149 000 0 71 154 024 +44 934 2 021 0
2026-09-11 149 000 0 71 171 014 +16 990 2 027 +6
2026-09-12 149 000 0 71 187 462 +16 448 2 027 0
2026-09-15 149 000 0 71 244 553 +57 091 2 027 0
2026-09-16 149 000 0 71 261 844 +17 291 2 029 +2
2026-09-19 149 000 0 71 325 597 +63 753 2 029 0
2026-09-21 149 000 0 71 368 982 +43 385 2 029 0
2026-09-24 150 000 +1 000 71 458 759 +89 777 2 032 +3
2026-09-25 150 000 0 71 489 486 +30 727 2 032 0
2026-09-27 150 000 0 71 534 039 +44 553 2 033 +1
2026-09-29 150 000 0 71 606 877 +72 838 2 033 0
2026-09-30 150 000 0 71 606 877 0 2 034 +1
2026-10-01 150 000 0 71 659 217 +52 340 2 034 0
2026-10-03 150 000 0 71 722 516 +63 299 2 034 0
2026-10-05 150 000 0 71 783 180 +60 664 2 034 0
2026-10-06 150 000 0 71 793 447 +10 267 2 035 +1
2026-10-07 150 000 0 71 822 100 +28 653 2 036 +1
2026-10-08 150 000 0 71 847 798 +25 698 2 037 +1
2026-10-12 150 000 0 71 982 326 +134 528 2 040 +3
2026-10-14 150 000 0 72 034 267 +51 941 2 042 +2
2026-10-15 150 000 0 72 089 091 +54 824 2 043 +1
2026-10-16 150 000 0 72 095 355 +6 264 2 045 +2
2026-10-17 150 000 0 72 144 299 +48 944 2 046 +1
2026-10-18 150 000 0 72 164 563 +20 264 2 047 +1
2026-10-21 150 000 0 72 259 731 +95 168 2 049 +2
2026-10-22 150 000 0 72 315 490 +55 759 2 051 +2
2026-10-25 150 000 0 72 389 265 +73 775 2 054 +3
2026-10-27 150 000 0 72 486 453 +97 188 2 056 +2
2026-10-30 latest 150 000 0 72 592 069 +105 616 2 060 +4
Daily Average 0 32 840 1
Weekly Average 0 248 357 8
Last 14 days 0 496 714 15
Last 30 days 0 985 192 26

Charts and Forecast for the Channel Cooking Time

About the Channel Growth Forecast Cooking Time: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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