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 Series Title: Men, employed government wage and salary workers in Retail trade: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 2847·
 2000 02 4033.
 2000 03 5425.
 2000 04 2824·
 2000 05 4628·
 2000 06 9324.
 2000 07 5752·
 2000 08 5328·
 2000 09 8144.
 2000 10 9534.
 2000 11 1032·
 2000 12 2733·
 2001 01  8231·
 2001 02  2720.
 2001 03  2819.
 2001 04  9415.
 2001 05  2623.
 2001 06  9616·
 2001 07  4716·
 2001 08  2260.
 2001 09  1139·
 2001 10  3328.
 2001 11  3118·
 2001 12  721.
 2002 01 6518.
 2002 02 9528·
 2002 03 6717.
 2002 04 6715.
 2002 05 3721.
 2002 06 6342.
 2002 07 6946.
 2002 08 4644.
 2002 09 363·
 2002 10 4539·
 2002 11 7434.
 2002 12 1430·
 2003 01  6333·
 2003 02  7225·
 2003 03  4522·
 2003 04  6418·
 2003 05  4222.
 2003 06  126·
 2003 07  7034·
 2003 08  1626·
 2003 09  9124.
 2003 10  1321·
 2003 11  6228·
 2003 12  1436.
 2004 01 8635.
 2004 02 1436.
 2004 03 5930.
 2004 04 2727·
 2004 05 2637·
 2004 06 3843·
 2004 07 2441.
 2004 08 5039.
 2004 09 3740.
 2004 10 3933.
 2004 11 4441·
 2004 12 023.
 2005 01  6930·
 2005 02  031·
 2005 03  3340.
 2005 04  2451.
 2005 05  9946·
 2005 06  2835.
 2005 07  2825·
 2005 08  8938·
 2005 09  2537·
 2005 10  5367.
 2005 11  9247·
 2005 12  8948.
 2006 01 7442.
 2006 02 3436·
 2006 03 1326.
 2006 04 4521·
 2006 05 9627·
 2006 06 5035·
 2006 07 544·
 2006 08 9959·
 2006 09 6754.
 2006 10 1061·
 2006 11 449.
 2006 12 2254·
 2007 01  8639·
 2007 02  4537.
 2007 03  7526·
 2007 04  721.
 2007 05  7938·
 2007 06  1049·
 2007 07  444.
 2007 08  7446.
 2007 09  9758.
 2007 10  8939.
 2007 11  437.
 2007 12  6638·
 2008 01 1542.
 2008 02 8755·
 2008 03 1449.
 2008 04 5358·
 2008 05 3354·
 2008 06 3660.
 2008 07 9749.
 2008 08 2949·
 2008 09 7737.
 2008 10 9352.
 2008 11 4045·
 2008 12 1361·
 2009 01  9735·
 2009 02  4032.
 2009 03  5632·
 2009 04  4930·
 2009 05  6852·
 2009 06  8356.
 2009 07  8346·
 2009 08  644.
 2009 09  9248.
 2009 10  5353.
 2009 11  8452.
 2009 12  7942·
 2010 01 9242·
 2010 02 817·
 2010 03 4643.
 2010 04 8757.
 2010 05 2183·
 2010 06 2938.
 2010 07 8435·
 2010 08 7332.
 2010 09 5233·
 2010 10 2333.
 2010 11 3432·
 2010 12 745·
 2011 01  8747·
 2011 02  2144·
 2011 03  6036.
 2011 04  8354·
 2011 05  5032.
 2011 06  8017.
 2011 07  4917·
 2011 08  2028·
 2011 09  9342·
 2011 10  8250·
 2011 11  1551.
 2011 12  6352·
 2012 01 9161·


 2012 02 3256·
 2012 03 9452.
 2012 04 8042.
 2012 05 4343·
 2012 06 6458.
 2012 07 5160.
 2012 08 6566·
 2012 09 7671.
 2012 10 3387·
 2012 11 7365·
 2012 12 3960·
 2013 01  4064.
 2013 02  2251.
 2013 03  7250·
 2013 04  4440.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Men, employed government wage and salary workers in Retail trade: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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