Occupation Data Dashboard & Explore

OCCUPATION DATA DASHBOARDS

Area Occupation Compare

This Dashboard includes 3 tiles:  

• “Year over Year” is a line chart showing the filtered Metric over Data Years for the filter Region(s).  
• “County View” is a map chart of the filtered Metric by Five Digit Fips (this is the county code Looker uses to map the data). 
• “Occupation Table” is a table chart of the filtered Metric by Occupation Code and Occupation Description at the filtered Occupation Level for the filtered Region(s).

 

When viewing a Dashboard, use the filters to change the data points displayed. Filter options include:

• Dollar Type: by default dollars are displayed in Real dollars, see Dollar Year
• Data Year: most recent Data Year by default in County View and Commodity Table tiles. All available Data Years are displayed in the Year. 
• Dollar Year: by default dollars are shown in current year dollars 
• Occupation Level: by default 3-minor, most detailed level of occupation classification
• State: by default North Carolina, South Carolina, and Georgia
• County: no county filter is set by default
• Aggregation: Aggregation level of Industries by default is the unaggregated 546 scheme
• Industry: no industry filter is set by default
• Occupation: no occupation filter is set by default
• Metric: by default Average Employee Compensation

Area Occupation Detail

This Dashboard includes 2 tiles:

• Occupation Summary is a table chart showing Wage and Salary Employment, Wage and Salary Income, Supplements to Wage and Salary Income, Employee Compensation, Hours Worked, and Location Quotient by Occupation Code and Occupation Description at the filtered Occupation Level for the filtered Region(s).
• Occupation Averages is a table chart showing Average Wage and Salary Income, Average Supplements to Wages and Salaries, Average Employee Compensation, Average Hours per Year, Average Supplements to Wages and Salaries per Hour, and Average Employee Compensation per Hour by Occupation Code and Occupation Description at the filtered Occupation Level for the filtered Region(s).

 

Filter options include:

• Dollar Type: by default dollars are displayed in Real dollars, see Dollar Year
• Data Year: most recent by default
• Dollar Year: by default dollars are shown in current year dollars 
• Occupation Level: by default 5-detail, most detailed level of occupation classification
• State: by default North Carolina
• County: no county filter is set by default
• Aggregation: Aggregation level of Industries by default is the unaggregated 546 scheme
• Industry: no industry filter is set by default
• Occupation: no occupation filter is set by default

The gear in the upper right provides more options such as downloading the Dashboard to a PDF.  On each tile, click the Table Menu (a series of three vertical dots that appears in the upper right of a tile when hovering over it with your cursor) for the option to download the data within that tile. Choose “Explore from here” within the Table Menu to access more data query options. Exploring from the Dashboard allows you to dig into the data starting from the settings within the Dashboard tile. 

 

EXPLORING OCCUPATION DATA

Explore the Occupation Data by choosing Occupation Data from the Explore dropdown menu, or by choosing “Explore from here” from an Occupation Data Dashboard Tile or Look. 

By default in Explore > Occupation Data, a filter is set for State: North Carolina Because of the amount of data in this section, this default filter has been set to improve data query performance. The Dollar Type is Real and the Dollar Year is the current year, and the Data Year is the most recent Data Year. With this setting, all dollar values included in a data query will be adjusted for inflation and displayed in current year dollars. It is recommended to always either filter or pivot on Data Year. Otherwise, data measures will be summed over Data Years. 

By default, Aggregation Scheme Param is 546 Unaggregated and Occupation Aggregation Level is 5-detail. Industry Dimensions will be available in the 546 Industry scheme and Occupation Dimensions will be available at the most granular level with this setting. 

 

EXPLORE: FILTER-ONLY FIELDS

Aggregation Scheme Param

The aggregation filter provides the option to view data by Industry at one of the following levels of granularity:

• 546 Unaggregated: most granular. Data is available for each IMPLAN Industry according to the most recent 546 Industry Scheme. 
• IMPLAN 2 Digit NAICS 546: Data is aggregated for Industries corresponding to each 2 Digit NAICS.
• IMPLAN 3 Digit NAICS 546: Data is aggregated for Industries corresponding to each 3 Digit NAICS.

Download the aggregated NAICS to IMPLAN 546 Industries bridge for details. 

 

Dollar Type

When Dollar Type is Real, Nominal dollar values are adjusted to be in the selected Dollar Year(s). When Filtering by multiple Dollar Years, select or pivot on Dollar Year to prevent potential double counting. Dollar Year only applies when Dollar Type is Real.

Field Picker

The Field Picker allows you to pick any one of the Measures from the filter dropdown menu. The Measure titled “Metric” to do so is tied to the Field Picker.  Select, filter, and/or pivot on this measure in order to include in data query. 

 

EXPLORE: DIMENSIONS

Select a Dimension to include as a column with all Dimension possibilities. Filter a Dimension to specify which Dimension possibilities appear in the data query. Pivot a Dimension to transpose the Dimension rows into columns. 

 

Dimensions	Details
County	All U.S. counties are possible Dimensions.  When states are selected in the State filter, only counties within the filtered states will appear in the county filter or in the data query when selected.
Data Year	All IMPLAN Data Years are possible Dimensions.
Dim Single Industry Occupation (Yes/No)	Indicators if an Occupation is specific to a single Industry (Yes) or if it exists in multiple Industries (No).
Dollar Year	Years 1997 through 2060 are possible Dimensions. Dollar Year only applies when Dollar Type is Real.  When Dollar Type is Real, Nominal dollar values are adjusted to be in the selected Dollar Year(s). When Filtering by multiple Dollar Years, select or pivot on Dollar Year to prevent potential double counting.
Five Digit Fips	A Five Digit Fips is a county code. The first two digits indicate the state and the following three digits indicate the county. All U.S. Five Digit Fips codes are possible Dimensions.  This Dimension is used to map the data in the County View Map Chart found on the Dashboard. A list of FIPS codes can be found at the following link:  https://www.census.gov/geographies/referenc
Industry	All 546 IMPLAN Industries (Code and Description) are possible Dimensions.
Industry Code	All 546 IMPLAN Industry Codes (numbers) are possible Dimensions.
Industry Description	All 546 IMPLAN Industry Descriptions (names) are possible Dimensions.
Occupation	All Occupations (Code and Description) are possible Dimensions. The Occupations included in this Dimension will depend on the Occupation Aggregation Level.
Occupation Aggregation Level	The following Occupation Aggregation Level options allow you to display Occupations by either 1, 2, 3, 4, or 5 digit Occupation Codes: 1 - Total (all Occupations, only one Occupation Category) 2 - Major 3 - Minor 4 - Broad 5 - Detail (most granular level of occupations)
Occupation Code	All Occupation Codes are possible Dimensions. The Occupation Codes included in this Dimension will depend on the Occupation Aggregation Level.
Occupation Description	All Occupation Description are possible Dimensions. The Occupation Descriptions included in this Dimension will depend on the Occupation Aggregation Level.
Region	All 50 States plus the District of Columbia are possible Dimensions.  Pivoting or selecting Region will display filtered states when filtering on state and will display filtered counties when filtering on county.
State	All 50 States plus the District of Columbia are possible Dimensions.

 

EXPLORE: MEASURES

Measures are displayed based on Dimension settings. Select a Measure to include as a column in the data query.

Measures	Details
Average Employee Compensation	Average Employee Compensation per wage and salary employee. Calculated as Employee Compensation divided by wage and salary Employment.
Average Employee Compensation per Hour	Average Employee Compensation per wage and salary employee, per hour. Calculated as Employee Compensation divided by hours worked.
Average Hours per Year	Average hours worked per year per wage and salary employee. Calculated as hours worked divided by wage and salary Employment.
Average Supplements to Wages and Salaries	Average Supplements to Wages and Salaries per wage and salary employee. Calculated as supplements to wages and salaries divided by wage and salary Employment.
Average Supplements to Wages and Salaries per Hour	Average Supplements to Wages and Salaries per wage and salary employee per hour. Calculated as supplements to wages and salaries divided by hours worked.
Average Wage and Salary Income	Average Wage and Salary Income per wage and salary employee. Calculated as wages and salaries divided by wage and salary Employment.
Average Wage and Salary Income per Hour	Average Wage and Salary Income per wage and salary employee per hour. Calculated as wages and salaries divided by hours worked.
Employee Compensation	Fully loaded payroll. See full EC definition.
Hours Worked	Total hours worked by wage and salary employment.
Location Quotient	Measures the relative concentration of a competency or occupation.
Metric	Metric is recommended to be selected only in conjunction with a Field Picker filter (a Filter-Only Field). This is a helpful Dashboard option.
Occupation Count	Count of detailed Occupations.
Supplements to Wages and Salary	Value of benefits and bonuses paid to wage and salary workers; the difference between Employee Compensation and Wage and Salary Income.
Wage and Salary Employment	Headcount of salaried or wage-earning employees; excluding Proprietors.
Wage and Salary Income	Total wage and salary income. Does not include benefits, payroll taxes, or any other supplements to wages.

 

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Written November 16, 2020

Updated April 14, 2022