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 Series Title: Employment: Nonagriculture Private wage and salary workers in Wholesale trade industry, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 91268.
 2000 02 921317·
 2000 03 281292·
 2000 04 661295.
 2000 05 741298.
 2000 06 261188.
 2000 07 971189·
 2000 08 911248.
 2000 09 931298·
 2000 10 461300.
 2000 11 541236·
 2000 12 21210.
 2001 01  161207·
 2001 02  341201.
 2001 03  121296·
 2001 04  431260.
 2001 05  181202·
 2001 06  971208·
 2001 07  91121.
 2001 08  841129.
 2001 09  11195.
 2001 10  651220.
 2001 11  81221·
 2001 12  181257·
 2002 01 891195·
 2002 02 951194·
 2002 03 971177·
 2002 04 651208·
 2002 05 331326.
 2002 06 701230·
 2002 07 891229.
 2002 08 701201.
 2002 09 81260.
 2002 10 961175·
 2002 11 221147.
 2002 12 01105.
 2003 01  141108.
 2003 02  41101.
 2003 03  591216·
 2003 04  501241·
 2003 05  781243·
 2003 06  511299.
 2003 07  871300.
 2003 08  391283·
 2003 09  481343·
 2003 10  191372·
 2003 11  191451.
 2003 12  121357.
 2004 01 21371·
 2004 02 141312·
 2004 03 941262.
 2004 04 381289.
 2004 05 391282·
 2004 06 681314.
 2004 07 741346·
 2004 08 101297·
 2004 09 841287·
 2004 10 381269·
 2004 11 471231·
 2004 12 481293·
 2005 01  881231·
 2005 02  51182·
 2005 03  261230·
 2005 04  961202.
 2005 05  271253·
 2005 06  761269.
 2005 07  491324.
 2005 08  231256.
 2005 09  01254.
 2005 10  831260.
 2005 11  791309.
 2005 12  231375·
 2006 01 331291·
 2006 02 821231·
 2006 03 31226.
 2006 04 161204·
 2006 05 771278.
 2006 06 551341.
 2006 07 351279.
 2006 08 461237·
 2006 09 61274.
 2006 10 81280.
 2006 11 131282.
 2006 12 811378·
 2007 01  221303.
 2007 02  731212·
 2007 03  981173·
 2007 04  161202.
 2007 05  501248.
 2007 06  81262·
 2007 07  801295·
 2007 08  701238.
 2007 09  391160·
 2007 10  921196.
 2007 11  711242.
 2007 12  871174·
 2008 01 661184.
 2008 02 341198.
 2008 03 91201.
 2008 04 361195.
 2008 05 311091.
 2008 06 641117.
 2008 07 571071·
 2008 08 111090·
 2008 09 591127·
 2008 10 401115·
 2008 11 31179.
 2008 12 331187.
 2009 01  11134.
 2009 02  431095·
 2009 03  591036·
 2009 04  441021.
 2009 05  311085·
 2009 06  791101.
 2009 07  641077·
 2009 08  131056.
 2009 09  511078·
 2009 10  811052.
 2009 11  811090·
 2009 12  361010·
 2010 01 861015.
 2010 02 41035·
 2010 03 971097·
 2010 04 311145.
 2010 05 861063·
 2010 06 311102·
 2010 07 251105·
 2010 08 421081.
 2010 09 271039.
 2010 10 681009.
 2010 11 31003.
 2010 12 38900·
 2011 01  81029·
 2011 02  481053.
 2011 03  941078.
 2011 04  141139·
 2011 05  561100·
 2011 06  251064.
 2011 07  861030·
 2011 08  891056.
 2011 09  201058.
 2011 10  83992·
 2011 11  92927·
 2011 12  6943.
 2012 01 77979·
 2012 02 27999·


 2012 03 49990.
 2012 04 35962·
 2012 05 26989.
 2012 06 90975.
 2012 07 211018.
 2012 08 711021·
 2012 09 931075·
 2012 10 281054.
 2012 11 961089.
 2012 12 311010·
 2013 01  29959·
 2013 02  22976.
 2013 03  861037.
 2013 04  61986·
 2013 05  8973·
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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: Employment: Nonagriculture Private wage and salary workers in Wholesale trade industry, Women: 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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