This website performs two kinds of analyses for counties across the Pacific Northwest: shift-share analysis and mapping of factors that have been found influential in shaping the ability of regional economies to attract investment and sustain employment growth.
Shift share analysis disaggregates employment growth in a particular area (in this case counties) into three components: the growth of the national economy (share), the growth – versus the overall economy – of the particular sectors that are important in a region’s economy (mix), and a region’s growing or shrinking share of particular sectors (shift).
The Pacific Northwest Advanced Regional Economic Analysis System (PN-AREAS) performs county-level shift share analysis for Washington State, Oregon, and Idaho for the period 1998 to 2008.
You can perform and map analyses at two levels: (1) the summary level, which combines information from all parts of a county’s economy; and (2) the 2-digit North American Industrial Classification System (NAICS) level (e.g. sector 31 = manufacturing).
Users can also download the summary and 2-digit data by choosing “Download Data” from the horizontal menu at the top of the screen.
The same downloadable data includes 3-digit NAICS data (e.g. sector 312 = beverage and tobacco product manufacturing) and analyses which are too complex to map easily.
For each shift-share analysis, you can map a variety of variables including the number of employees in a particular sector or for all sectors combined in 1998 and 2008, the employment growth during the decade, and the disaggregation of that growth into shift, mix, and share components.
The data for the shift share analyses are derived from the US government series County Business Patterns.
It is important to note that County Business Patterns does not include data on employees of government entities (e.g. state universities, the US Department of Defense) nor does it include the self-employed.
Missing values in the data (i.e. in instances where, in order to protect the confidentiality of individual companies, the government cannot report actual employment in a county in a particular sector with very few establishments) have been estimated using linear programming.
This system also displays variables that measure dimensions of a region’s economic competitiveness, including, for instance, the population with a one-day trucking distance.
These are generally variables that have been found to be influential in shaping a region’s economic performance in the regional economic development literature.
For each variable, text appears in the lower left corner of the screen that describes the variable and the source of the data.
To get started, choose an option under “What do you want to do?”
To do shift share analyses, choose the level of analysis you want: Summary or 2-digit North American Industrial Classification System (NAICS) sector under “What do you want to do?”.
Then choose the NAICS sector if appropriate (this option is available only if you choose a sector level analysis) and finally choose the variable you would like to map.
A choropleth map with quantile breaks will then be displayed.
You may click on a particular county to see its detailed data for the analysis you are performing.
To display the competitive advantage variables, choose Factors of Competitive Advantage under “What do you want to do?”.
Then choose the particular variable that you would like to explore.
You may double-click on a particular county to see the values for all of the competitive advantage variables.
To download the data used in these analyses, choose “Download Data” from the horizontal menu at the top of the map window.
The file contains four worksheets: Shift Share Analysis Summary Level, 2-Digit NAICS Sector Level, 3-Digit NAICS Sector Level, Competitive Advantage Variables.