Fish Count Data Search

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Kenai River (late-run sockeye) Sockeye for 2020

Location: Kenai River (late-run sockeye)
Species: Sockeye
Method: Sonar

The selected years are color-coded in the graphs below:

  • 2020
  • 2019
Daily Counts
Cumulative

Description: The DIDSON (sonar) is used to estimate passage of late-run sockeye salmon at river mile 19 of the Kenai River. The department manages Kenai River late-run sockeye salmon to achieve a sustainable escapement goal (SEG), and also follows inriver management targets established by the Alaska Board of Fisheries. The primary inseason management target for late-run Kenai River sockeye salmon is the inriver goal. These inriver goals vary year to year depending on the estimated run size in the Kenai River. The sockeye salmon sonar enumeration process uses a fish wheel to determine the proportions and counts of pink, coho, and chum salmon each day.

Inriver Goal for Sockeye in 2022: 1,100,000 - 1,400,000 (Graphed above)
Sustainable Escapement Goal for Sockeye: 750,000 - 1,300,000

Contact: Upper Cook Inlet Assnt. Comm Fish Biologist,
(907) 262-9368

Weekly Sportfish Fishing Report for this area

55 records returned for the years selected. Dashes indicate days with no count.
[Export results in Excel format or JSON format]

Date
2020		 Count
2020		 Cumulative
2020		 Cumulative
2019		 Notes for
2020
Aug-24 6,708 1,714,565 1,849,054 *data adjusted using logistic regression
Aug-23 16,512 1,707,857 1,849,054 *data adjusted using logistic regression
Aug-22 17,777 1,691,345 1,849,054 *data adjusted using logistic regression
Aug-21 34,459 1,673,568 1,849,054 *data adjusted using logistic regression
Aug-20 34,742 1,639,109 1,849,054 *data adjusted using logistic regression
Aug-19 20,052 1,604,367 1,849,054 *data adjusted using logistic regression
Aug-18 46,259 1,584,315 1,838,923 *data adjusted using logistic regression
Aug-17 121,031 1,538,056 1,822,160 *data adjusted using logistic regression
Aug-16 96,766 1,417,025 1,804,014 *data adjusted using logistic regression
Aug-15 57,310 1,320,259 1,781,794 *data adjusted using logistic regression
Aug-14 99,875 1,262,949 1,756,886 *data adjusted using logistic regression
Aug-13 62,807 1,163,074 1,731,077 *data adjusted using logistic regression
Aug-12 47,067 1,100,267 1,708,919 *data adjusted using logistic regression
Aug-11 41,832 1,053,200 1,683,542 *data adjusted using logistic regression
Aug-10 24,163 1,011,368 1,651,396 *data adjusted using logistic regression
Aug-09 34,137 987,205 1,618,637 *data adjusted using logistic regression
Aug-08 24,396 953,068 1,581,595 *data adjusted using logistic regression
Aug-07 25,368 928,672 1,533,549 *data adjusted using logistic regression
Aug-06 38,712 903,304 1,472,285 *data adjusted using logistic regression
Aug-05 36,938 864,592 1,395,891 *data adjusted using logistic regression
Aug-04 38,859 827,654 1,323,179 *data adjusted using logistic regression
Aug-03 41,814 788,795 1,260,492 *data adjusted using logistic regression
Aug-02 35,719 746,981 1,204,562 *data adjusted using logistic regression
Aug-01 23,055 711,262 1,162,478 *data adjusted using logistic regression
Jul-31 40,718 688,207 1,124,767  
Jul-30 43,048 647,489 1,090,452  
Jul-29 40,632 604,441 1,048,013  
Jul-28 47,946 563,809 972,409  
Jul-27 38,004 515,863 873,371  
Jul-26 20,117 477,859 775,170  
Jul-25 23,922 457,742 697,174  
Jul-24 20,562 433,820 616,246  
Jul-23 20,172 413,258 562,672  
Jul-22 17,316 393,086 526,565  
Jul-21 17,854 375,770 451,023  
Jul-20 46,306 357,916 374,373  
Jul-19 32,598 311,610 338,721  
Jul-18 26,143 279,012 312,758  
Jul-17 31,392 252,869 266,699  
Jul-16 19,086 221,477 243,414  
Jul-15 35,528 202,391 226,994  
Jul-14 30,084 166,863 196,485  
Jul-13 36,322 136,779 162,431  
Jul-12 16,526 100,457 142,301  
Jul-11 10,104 83,931 119,433  
Jul-10 6,032 73,827 105,335  
Jul-09 8,686 67,795 94,850  
Jul-08 12,127 59,109 79,660  
Jul-07 15,138 46,982 58,216  
Jul-06 11,190 31,844 45,595  
Jul-05 4,290 20,654 36,502  
Jul-04 3,965 16,364 28,030  
Jul-03 3,576 12,399 20,290  
Jul-02 3,468 8,823 14,040  
Jul-01 5,355 5,355 6,810