ICCAT·CICTA·CICAA

The ICCAT Secretariat maintains over 2 gigabytes of information in various databases. Most of these can be accessed through the links below. We are currently working on making available the remaining datasets via Internet.

The dissemination of ICCAT data is according to the Rules and Procedures for the protection, access to, and dissemination of data compiled by ICCAT, adopted by the Commission in 2010. While most databases currently used in the stock assessments and other SCRS work are of public domain and are published in this web page, the aforementioned rules also include procedures for using data classified as confidential. Such confidential data are voluntarily provided by CPCs for specific use by the SCRS.

Nominal Catch Information

Nominal annual catch by species, region, gear, flag, and where possible, separated between EEZ and High Seas. In general, responsibility for reporting catch and landings data rests on flag states.

Task I web

Web-based application to view nominal catches of Atlantic tunas and tuna-like fish (including sharks), by gear, region and flag in web application [version 12/2017].

Task I Excel

MS Excel pivot table to obtain nominal catches of Atlantic tunas and tuna-like fish (including sharks), by gear, region and flag [MS Excel; version 12/2017, 7 Mb(zip)]

*Task I Fishstat

Time series of nominal catches for Atlantic tunas and tuna-like fish (excluding sharks) for use with FAO's FISHSTAT. (Requires download and instalation of FISHSTAT).
[Version Mar 2010, 216 Kb]

* Last update published on the web. Future updates available upon request to "info@iccat.int"

Sample fishing statistics and fish sizes

Catch and fishing effort statistics for each species by small area (1x1 degree squares for most gears, 5x5 degree squares for longlines), gear, flag, and month. Task II data also include actual size frequencies of samples measured for each species by small area, gear, flag and month.
In some cases, detailed size samples are also extrapolated to match total catches in order to be used in stock assessments. This includes the CATDIS and catch-at-size datasets.

Task II catch data raised to total landings (5x5 degree squares, quarter, gear) [Updated 8/2018; CSV format]

Read Me - Codes

CATDIS(all)

CATDIS(by species)

Spatio-Temporal estimates of overall Atlantic Fishing Effort for Longline and Purse seine fleets. Methodology described in document

SCRS/2015/206

Effdis LL (zip file 1.3 Mb)

Effdis PS (csv file 4.7 Mb)

Catch-at-size

Examples of catch at size data used in assessments (Albacore, Bigeye, Bluefin, Skipjack, Swordfish and Yellowfin) . All files are in "*.csv" format.

File headers are:
SpeciesCode, StockID, YearC, FlagName, FleetCode, GearGrpCode, GearCode, TimeCatch, SquareTypeCode, QuadID, Lat, Lon,
SchoolType {0:NA/none; 1:FAD; 2:Free School} (only BET, SKJ, YFT)
[Lclasses, 1cm lower limit, in Number]
YFT {30, 21, 22, ... 180} (29- and 181+ are accumulated class groups)
BET {30, 21, 22, ... 190} (29- and 191+ are accumulated class groups)
SKJ {20, 21, 22, ... 90} (19- and 91+ are accumulated class groups)

Tagging

The Secretariat maintains an extensive database of conventional tagging data for Atlantic Tunas and tuna-like species. This database is currently undergoing a revision.

Conventional tag data

ALB	Albacore	BET	Bigeye tuna	BFT	Atlantic Bluefin tuna
BSH	Blue shark	BUM	Atlantic blue marlin	POR	Porbeagle
SAI	Atlantic sailfish	SKJ	Skipjack tuna	SMA	Shortfin mako
SWO	Swordfish	WHM	Atlantic white marlin	YFT	Yellowfin tuna

Electronic tag Inventory

Inventory of archival tag releases [05/2018]

Other information

In addition to Task I and Task II data, the SCRS also makes use of other types of information for its analyses of the stocks, depending on need, relevance, and availability.

Observer data

Observer data currently available only for US longline, 1992-2000. [2,635 kb].

Statistical Bulletin

The Bulletin, updated annually, summarizes available information in a user-friendly format that includes multiple tables and graphs.

Access to ICCAT statistical databases