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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 3746·
 2000 02 748·
 2000 03 2143·
 2000 04 4534.
 2000 05 6819·
 2000 06 8134·
 2000 07 7737.
 2000 08 8138·
 2000 09 9641.
 2000 10 8429.
 2000 11 6632·
 2000 12 4739.
 2001 01  7233·
 2001 02  9945·
 2001 03  9954·
 2001 04  8753·
 2001 05  7236.
 2001 06  3230.
 2001 07  1530.
 2001 08  7183·
 2001 09  9658.
 2001 10  1437·
 2001 11  7730·
 2001 12  9135.
 2002 01 6835·
 2002 02 340.
 2002 03 7339·
 2002 04 6826·
 2002 05 4033.
 2002 06 7938.
 2002 07 1546·
 2002 08 4657.
 2002 09 8850.
 2002 10 5078·
 2002 11 4260·
 2002 12 9460.
 2003 01  1053·
 2003 02  4825.
 2003 03  1719·
 2003 04  523.
 2003 05  3326.
 2003 06  2820.
 2003 07  2636.
 2003 08  031.
 2003 09  739.
 2003 10  7358.
 2003 11  8435·
 2003 12  2145·
 2004 01 846·
 2004 02 8921.
 2004 03 2837.
 2004 04 3931·
 2004 05 3662.
 2004 06 746·
 2004 07 2157.
 2004 08 4845·
 2004 09 1642.
 2004 10 8554.
 2004 11 5056.
 2004 12 6653.
 2005 01  9861.
 2005 02  445·
 2005 03  3040.
 2005 04  3752·
 2005 05  5952.
 2005 06  7154.
 2005 07  9755·
 2005 08  3265·
 2005 09  9852·
 2005 10  1754·
 2005 11  1446.
 2005 12  4437·
 2006 01 4142·
 2006 02 9945·
 2006 03 7047·
 2006 04 9135·
 2006 05 3840.
 2006 06 9923.
 2006 07 7730·
 2006 08 2038·
 2006 09 6572.
 2006 10 2373.
 2006 11 7473·
 2006 12 9784·
 2007 01  2261·
 2007 02  254·
 2007 03  2252·
 2007 04  1863.
 2007 05  3465·
 2007 06  9557·
 2007 07  1154.
 2007 08  255.
 2007 09  5245·
 2007 10  8131·
 2007 11  5254.
 2007 12  9345.
 2008 01 5151.
 2008 02 6958.
 2008 03 8471·
 2008 04 6059·
 2008 05 3262.
 2008 06 8877·
 2008 07 7064.
 2008 08 9760·
 2008 09 1967.
 2008 10 9769.
 2008 11 9753·
 2008 12 2377.
 2009 01  6549.
 2009 02  7750.
 2009 03  7946·
 2009 04  8236.
 2009 05  4240·
 2009 06  3451.
 2009 07  5344.
 2009 08  4556·
 2009 09  5358.
 2009 10  072·
 2009 11  8254·
 2009 12  356·
 2010 01 2354·
 2010 02 3149·
 2010 03 5465·
 2010 04 7858·
 2010 05 177.
 2010 06 1079·
 2010 07 8357·
 2010 08 1338.
 2010 09 6447.
 2010 10 4372.
 2010 11 563.
 2010 12 7755.
 2011 01  1149.
 2011 02  6125.
 2011 03  8430.
 2011 04  6447·
 2011 05  6939·
 2011 06  2246.
 2011 07  745.
 2011 08  9367·
 2011 09  8761.
 2011 10  746·
 2011 11  8846·
 2011 12  1034.
 2012 01 4036.
 2012 02 2245.
 2012 03 6553·
 2012 04 8148·
 2012 05 3126.
 2012 06 9964·
 2012 07 067·
 2012 08 348·
 2012 09 8259·
 2012 10 9566.
 2012 11 8175.
 2012 12 9455·
 2013 01  4654·
 2013 02  9132·
 2013 03  2134·
 2013 04  9755.
 2013 05  9764.
 2013 06  9436·
 2013 07  5953·
 2013 08  8333.
 2013 09  3647·
 2013 10  3645·
 2013 11  5666.
 2013 12  4661.
 2014 01 8961.
 2014 02 7458·
 2014 03 146.
 2014 04 437·
 2014 05 451·
 2014 06 8824·
 2014 07 642·
 2014 08 145.
 2014 09 5949.
 2014 10 8657·
 2014 11 1155·
 2014 12 846·
 2015 01  5338·
 2015 02  049·
 2015 03  7655·
 2015 04  1766.
 2015 05  1244·
 2015 06  8562·
 2015 07  9154.
 2015 08  4952·
 2015 09  8763.
 2015 10  2429·
 2015 11  6840·
 2015 12  4623·
 2016 01 5158·
 2016 02 2367·
 2016 03 4659·
 2016 04 7954.
 2016 05 739·
 2016 06 1340·
 2016 07 8642.
 2016 08 4258·
 2016 09 7954.
 2016 10 5334·
 2016 11 7764.
 2016 12 5348·
 2017 01  1847·
 2017 02  2250.
 2017 03  3336.
 2017 04  5739.


 2017 05  9951·
 2017 06  2844·
 2017 07  8940.
 2017 08  2450.
 2017 09  2242·
 2017 10  331.
 2017 11  1146·
 2017 12  4654·
 2018 01 1355·
 2018 02 235·
 2018 03 8445.
 2018 04 4341·
 2018 05 2331·
 2018 06 821.
 2018 07 2442.
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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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