Time-Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation, 2009 (Sector Level)

Description:

This polygon shapefile contains time series data for the coastal regions of the Northeastern United States in 2009. This data product was created by combing the spatial information from the 2010 TIGER/Line county shapefiles from the U.S. Census Bureau and the Economics: National Ocean Watch (ENOW) tabular data from NOAA Costal Services Center. ENOW contains annual time-series data for 449 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes six economic sectors that depend on the oceans and Great Lakes, and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP). ENOW organizes economic data in ways that focus directly on economic activities that depend on the oceans and Great Lakes. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

Creator:

United States. National Oceanic and Atmospheric Administration, United States. Department of Commerce, United States. National Ocean Service, and Coastal Services Center (U.S.)

Publisher:

Coastal Services Center (U.S.)

Provider:

Stanford

Resource Class:

Datasets

Resource Type:

Polygon data

Subject:

Offshore oil and gas leases, Shipping, Tourism, Naval architecture, Fishing, Recreation, Shipbuilding industry, Dredging, Society, Economy, and Oceans

Theme:

Society, Economy, and Oceans

Temporal Coverage:

2009

Date Issued:

2012

Spatial Coverage:

Northeastern states, Connecticut, Maine, Massachusetts, New York (State), and Rhode Island

Rights:

This item is in the public domain. There are no restrictions on use.

Rights Holder:

This work is in the Public Domain, meaning that it is not subject to copyright.

Access Rights:

Public

Format:

Shapefile

Georeferenced:

More details at:

https://purl.stanford.edu/vq703tq5346