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 Series Title: Women, employed government wage and salary workers in Retail trade: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 1846.
 2000 02 3748·
 2000 03 3843.
 2000 04 8634.
 2000 05 7019.
 2000 06 8234.
 2000 07 1637.
 2000 08 9438.
 2000 09 2041.
 2000 10 5829.
 2000 11 2632.
 2000 12 3239·
 2001 01  1933·
 2001 02  4445·
 2001 03  8154·
 2001 04  4453.
 2001 05  4036.
 2001 06  4930.
 2001 07  1930·
 2001 08  9983.
 2001 09  8658.
 2001 10  337·
 2001 11  330.
 2001 12  9135·
 2002 01 8035.
 2002 02 6440·
 2002 03 2139·
 2002 04 4026.
 2002 05 7433.
 2002 06 1238·
 2002 07 8546.
 2002 08 9057.
 2002 09 4350·
 2002 10 5578.
 2002 11 3460·
 2002 12 960·
 2003 01  8853·
 2003 02  2525·
 2003 03  3019·
 2003 04  9323.
 2003 05  3326.
 2003 06  7720·
 2003 07  6236·
 2003 08  5931.
 2003 09  2939.
 2003 10  9358.
 2003 11  4135·
 2003 12  5345·
 2004 01 5146·
 2004 02 8121·
 2004 03 737·
 2004 04 4231·
 2004 05 162·
 2004 06 7146·
 2004 07 2257·
 2004 08 2345·
 2004 09 342.
 2004 10 2154.
 2004 11 7356·
 2004 12 1353.
 2005 01  761.
 2005 02  1245.
 2005 03  7440.
 2005 04  5652·
 2005 05  9052·
 2005 06  5154.
 2005 07  6355·
 2005 08  2365.
 2005 09  5152·
 2005 10  6954.
 2005 11  346·
 2005 12  637.
 2006 01 1542.
 2006 02 2345.
 2006 03 8047·
 2006 04 2635·
 2006 05 3440·
 2006 06 9423·
 2006 07 930.
 2006 08 2638.
 2006 09 8372·
 2006 10 9073.
 2006 11 2873·
 2006 12 7584·
 2007 01  6261.
 2007 02  4254·
 2007 03  9852·
 2007 04  6863.
 2007 05  9665·
 2007 06  657·
 2007 07  854·
 2007 08  2455.
 2007 09  3645.
 2007 10  6431·
 2007 11  7254.
 2007 12  8745·
 2008 01 5751.
 2008 02 2358·
 2008 03 2671·
 2008 04 2559·
 2008 05 5962.
 2008 06 1577·
 2008 07 3364.
 2008 08 3460.
 2008 09 6967·
 2008 10 9669.
 2008 11 8253·
 2008 12 3277.
 2009 01  3649.
 2009 02  4750·
 2009 03  8646.
 2009 04  6436·
 2009 05  3540.
 2009 06  7651·
 2009 07  8244.
 2009 08  9856.
 2009 09  6858.
 2009 10  1472·
 2009 11  3354.
 2009 12  2956·
 2010 01 6054.
 2010 02 1749.
 2010 03 2765.
 2010 04 7558·
 2010 05 6077·
 2010 06 6879.
 2010 07 7757.
 2010 08 8238·
 2010 09 4447.
 2010 10 7372·
 2010 11 2163·
 2010 12 1855.
 2011 01  1449·
 2011 02  6325.
 2011 03  2230.
 2011 04  7747·
 2011 05  9339·
 2011 06  9646.
 2011 07  6845.
 2011 08  7867·
 2011 09  3361.
 2011 10  5246·
 2011 11  7146·
 2011 12  6634·
 2012 01 936·
 2012 02 3945.
 2012 03 6953·
 2012 04 1048.
 2012 05 2126.
 2012 06 8864.
 2012 07 2667.
 2012 08 348.
 2012 09 9459.
 2012 10 5666.
 2012 11 2975.
 2012 12 6655·
 2013 01  8054·
 2013 02  2432·
 2013 03  9134.
 2013 04  4155.
 2013 05  5364.
 2013 06  9936.
 2013 07  5053.
 2013 08  9933·
 2013 09  1447·
 2013 10  1345.
 2013 11  6966·
 2013 12  3361.
 2014 01 8861.
 2014 02 2258.
 2014 03 3646.
 2014 04 6337·
 2014 05 2651.
 2014 06 924·
 2014 07 6442.
 2014 08 3345.
 2014 09 249.
 2014 10 7957·
 2014 11 9055.
 2014 12 1146.
 2015 01  1838.
 2015 02  6449·
 2015 03  7755·
 2015 04  9266.
 2015 05  9944·
 2015 06  2162·
 2015 07  1454.
 2015 08  9652·
 2015 09  9563·
 2015 10  3229·
 2015 11  1340.
 2015 12  6523.
 2016 01 8258.
 2016 02 367.
 2016 03 1259·
 2016 04 7054·
 2016 05 6039·
 2016 06 6540.
 2016 07 7542·
 2016 08 558·
 2016 09 5354·
 2016 10 7634.
 2016 11 8864.
 2016 12 8848.
 2017 01  1447.
 2017 02  1850·
 2017 03  6536.
 2017 04  6439.
 2017 05  1751·
 2017 06  9644.
 2017 07  4340.
 2017 08  250·


 2017 09  6242·
 2017 10  4231.
 2017 11  8746·
 2017 12  9654·
 2018 01 7555·
 2018 02 1335·
 2018 03 8245·
 2018 04 6541·
 2018 05 731.
 2018 06 9121·
 2018 07 4342.
 2018 08 5451·
 2018 09 3231.
 2018 10 8343.
 2018 11 828·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Women, 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

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