Hawaii Charter Fishing Cost Earnings Survey 2012

These data represent a cost-earnings study of the main Hawaiian Island Charter fishing fleet in 2012. Data collected include fisher classification, vessel characteristics, levels of investment, trip-level expenditures, fishing behavior, market participation, social aspects of the fishery, and demographics.

The purpose of the cost-earnings study was to update our understanding of the economic and social characteristics of the main Hawaiian Island Charter fishing fleet. Collection of these baseline data provides managers with an updated understanding of potential behavioral responses and impacts from future fishing regulations.

Division: Ecosystem Science Division

Program: Socioeconomics Program

Program Lead: Justin Hospital

Authorities: None

Ownership: PIFSC

Study Area: Main Hawaiian Islands, by island

Spatial Resolution: Main Hawaiian Islands, by island

Temporal Resolution: Trip-level; annual durable good expenses and behavior information

Frequency of Collection: Each record represents an individual charter operation

Type of Data Collected: various information including fisher classification, levels of fishing activity, financial performance, and social aspects.

Collection Method: Mail surveys

Recording Media: Paper

Collection Standards of the Data or Creation Standards of the Data Product: Available

Documentation on Collection/Creation Standards: Available

Validation and QC procedures: Not available

QC Standards: Not available

Documentation on Quality Control: Available

Storage Location: NOAA Inouye Regional Center

Storage Media: HDD/Access, external hard drive, network drive

Storage Format: MS-Access

Backups: Available

Documentation on Storage and Security: Available

Distribution Method: Encrypted Zip file

Hard copy interview forms are locked in a secured area. The electronic data are stored on government computers with all the proper Government security measures in place, including firewalls, individual username login, and password protection

PIFSC Data Access, Sharing and Dissemination Guidelines

Email Justin Hospital (justin.hospital@noaa.gov)

Non-confidential summaries for public access

A. The user is responsible for the results of any application of this data for other than its intended purpose. B. The developers of this data are concerned with assuring its proper use. Before the data are used to draw specific scientific conclusions, potential users are requested to contact PIFSC for background on the data. Acknowledgement of products derived from this data set should be cited. While efforts have been made to ensure that these data are accurate and reliable, PIFSC cannot assume liability for any damages or misrepresentation caused by any inaccuracies in the data or as a result of changes to the data caused by system transfers

None

None

Access database

A census of charter operations were surveyed and 47% of charter operations across the State of Hawaii responded to the survey.

After the data were recorded through primary in-person data collection methods (paper), data were entered into the data entry file (MS Access database). Then the entered data were subject to logic tests and appropriate skip patterns. The data were assessed for outliers and cleaned. Finally, the cleaned data were used to generate data reports and summaries.

These data are Legacy and Sensitive (business information). Efforts to disseminate can be arranged upon request, but the data are currently out of scope for the Data directive.

Data are archived in multiple locations (external hard drives and network drives) in both MS Access and CSV files. Data is securely stored in PIFSC's server with password protection. Only staff who work on the project can access to the data.

After the data were received through mail survey booklets (paper), data were entered into the data entry file (MS Access database). The entered data were subject to logic tests and appropriate skip patterns. The data were assessed for outliers and cleaned. Follow-up calls were made to respondents when responses needed clarification. Finally, the cleaned data were used to generate data reports and summaries.