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 Series Title: Women, employed government wage and salary workers in Wholesale and 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 1352·
 2000 02 2453.
 2000 03 5450.
 2000 04 145·
 2000 05 8529·
 2000 06 2741.
 2000 07 5543.
 2000 08 2040·
 2000 09 6046·
 2000 10 6731.
 2000 11 9338·
 2000 12 7644.
 2001 01  9038.
 2001 02  2547·
 2001 03  8357.
 2001 04  1256·
 2001 05  5038·
 2001 06  633.
 2001 07  6333·
 2001 08  9784.
 2001 09  3958.
 2001 10  4437·
 2001 11  9433.
 2001 12  2638.
 2002 01 8439·
 2002 02 9445·
 2002 03 6544·
 2002 04 1826.
 2002 05 3533.
 2002 06 3842·
 2002 07 8951·
 2002 08 1761.
 2002 09 6755.
 2002 10 8481.
 2002 11 462·
 2002 12 9160·
 2003 01  8155·
 2003 02  6125.
 2003 03  7322.
 2003 04  3627·
 2003 05  130.
 2003 06  2827·
 2003 07  8340.
 2003 08  7031·
 2003 09  7943.
 2003 10  6562.
 2003 11  4735.
 2003 12  3745.
 2004 01 9050·
 2004 02 8025.
 2004 03 441.
 2004 04 735·
 2004 05 3462·
 2004 06 446·
 2004 07 1661.
 2004 08 7452.
 2004 09 3648.
 2004 10 9363·
 2004 11 7164·
 2004 12 5758·
 2005 01  4764.
 2005 02  3045·
 2005 03  8240.
 2005 04  9952·
 2005 05  4352·
 2005 06  2154·
 2005 07  8755.
 2005 08  7166·
 2005 09  2355.
 2005 10  9758.
 2005 11  4951·
 2005 12  6640·
 2006 01 1345.
 2006 02 1546.
 2006 03 5647.
 2006 04 337.
 2006 05 6442·
 2006 06 5823.
 2006 07 2030·
 2006 08 2738·
 2006 09 5072.
 2006 10 3073.
 2006 11 7973.
 2006 12 784·
 2007 01  7361.
 2007 02  6554.
 2007 03  9753·
 2007 04  3663·
 2007 05  5865.
 2007 06  1958.
 2007 07  6161.
 2007 08  3564.
 2007 09  5449.
 2007 10  7335.
 2007 11  8457.
 2007 12  4648.
 2008 01 3851.
 2008 02 3464.
 2008 03 471·
 2008 04 4060·
 2008 05 1068.
 2008 06 3477·
 2008 07 8464.
 2008 08 1060.
 2008 09 9567·
 2008 10 3071·
 2008 11 1253·
 2008 12 7677·
 2009 01  4449.
 2009 02  252·
 2009 03  050·
 2009 04  8143·
 2009 05  3244.
 2009 06  5855.
 2009 07  8744.
 2009 08  9556.
 2009 09  5959·
 2009 10  2979.
 2009 11  3561.
 2009 12  1359·
 2010 01 5157·
 2010 02 7249.
 2010 03 3365·
 2010 04 5261.
 2010 05 5877·
 2010 06 6880.
 2010 07 9357·
 2010 08 5738·
 2010 09 5554·
 2010 10 2575·
 2010 11 5368·
 2010 12 9860·
 2011 01  4451.
 2011 02  7428·
 2011 03  7733·
 2011 04  6953.
 2011 05  4847·
 2011 06  7146·
 2011 07  5148.
 2011 08  8874.
 2011 09  2064.
 2011 10  9846·
 2011 11  8949·
 2011 12  037·
 2012 01 3439.


 2012 02 6248.
 2012 03 2860·
 2012 04 7455.
 2012 05 9032·
 2012 06 9466·
 2012 07 3267·
 2012 08 454·
 2012 09 1467·
 2012 10 5269·
 2012 11 8979·
 2012 12 959.
 2013 01  5664·
 2013 02  1636·
 2013 03  1138·
 2013 04  3355·
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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: Women, employed government wage and salary workers in Wholesale and 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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