Time-Series Data for Self-Employed Economic Activity Dependent on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2017

Nonemployer Statistics for Economics: National Ocean Watch (ENOW NES) contains annual time-series data for over 400 coastal counties, 30 coastal states, and the nation, derived from the United States Census Bureau. ENOW NES data report the number of nonemployer establishments and gross receipts, within the six sectors of the ocean and Great Lakes economy, .

Nonemployer Statistics are the primary resource for studying the scope and activities of self-employed people. The ENOW NES data measure activity of sole proprietorships and other businesses with no employees at various geographic scales and classified in the six sectors within the ocean and Great Lakes economy.

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This data complies with the Information Quality Act directive from the Office of Management and Budget. With the release of the 2014 ENOW data, gross domestic product (GDP) for the ocean economy was updated for the entire time series to reflect the rebenchmarking of gross domestic product (GDP) for the entire U.S. economy. The Bureau of Economic Analysis (BEA) periodically revises the GDP data to better reflect the evolving nature of the U.S. economy.

Any conclusions drawn from the analysis of this information are not the responsibility of the NOAA Office for Coastal Management or its partners.

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To ensure the completeness of the data set, zeros were added to counties with no data for any or all sectors. This does not change the integrity of the data but allows for easier visualization. Zeros in the data indicate that there is no self-employed data based on the ENOW NES definitions of ocean related economic activity. -9999 indicates that data have been suppressed to avoid disclosing confidential information provided to the US Census Bureau.

To ensure the quality of the data, we checked that all data was present for the ENOW NES defined geography, verified and formatted data types, ensured that suppressed data were flagged as -9999, and normalized dollar figures into real numbers.