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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 45-54 years, Women: NSA
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 2012 04 15149.
 2012 03 68135.
 2012 02 46115.
 2012 01 87124.
 2011 12  57129·
 2011 11  23139·
 2011 10  51149.
 2011 09  42149·
 2011 08  73133.
 2011 07  82161.
 2011 06  64152·
 2011 05  1156.
 2011 04  11151·
 2011 03  27147·
 2011 02  97159.
 2011 01  10159.
 2010 12 48153·
 2010 11 66163.
 2010 10 88132.
 2010 09 36115·
 2010 08 84107.
 2010 07 29119.
 2010 06 0132.
 2010 05 75178·
 2010 04 44183·
 2010 03 74170.
 2010 02 20139.
 2010 01 46141.
 2009 12  78148·
 2009 11  81166·
 2009 10  62141·
 2009 09  92150.
 2009 08  62133.
 2009 07  58150.
 2009 06  63158.
 2009 05  83167·
 2009 04  97158.
 2009 03  37165·
 2009 02  87150·
 2009 01  13158·
 2008 12 7151·
 2008 11 73145·
 2008 10 22162·
 2008 09 0139.
 2008 08 43131.
 2008 07 48150.
 2008 06 79169·
 2008 05 90171·
 2008 04 81181·
 2008 03 70135·
 2008 02 97129·
 2008 01 52128.
 2007 12  21118.
 2007 11  69139·
 2007 10  40131.
 2007 09  78164·
 2007 08  88177.
 2007 07  3145.
 2007 06  94164·
 2007 05  90158·
 2007 04  33148.
 2007 03  53156.
 2007 02  73141.
 2007 01  30134.
 2006 12 30126·
 2006 11 26157·
 2006 10 15167.
 2006 09 68153.
 2006 08 82141.
 2006 07 53161·
 2006 06 82138.
 2006 05 98170.
 2006 04 12169·
 2006 03 91152.
 2006 02 62154.
 2006 01 39133·
 2005 12  71138.
 2005 11  21125.
 2005 10  69141.
 2005 09  36165.
 2005 08  35165.
 2005 07  51163.
 2005 06  40138.
 2005 05  56121.
 2005 04  4154.
 2005 03  12150.
 2005 02  38125·
 2005 01  96153.
 2004 12 3129·
 2004 11 60143·
 2004 10 51139.
 2004 09 73120·
 2004 08 83103.
 2004 07 77123·
 2004 06 92133.
 2004 05 32139.
 2004 04 19131.
 2004 03 70170.
 2004 02 99168.
 2004 01 42170.
 2003 12  12175·
 2003 11  71152·
 2003 10  34152.
 2003 09  98156·
 2003 08  87149.
 2003 07  36149.
 2003 06  86155·
 2003 05  17140·
 2003 04  94142.
 2003 03  46111·
 2003 02  68139.
 2003 01  45142·
 2002 12 9132.
 2002 11 9143·
 2002 10 16136.
 2002 09 51141.
 2002 08 32147·
 2002 07 56118·
 2002 06 95114.
 2002 05 2895·
 2002 04 89135·
 2002 03 43140.
 2002 02 92150.
 2002 01 96162.
 2001 12  29155.
 2001 11  53172·
 2001 10  20159·
 2001 09  99162·
 2001 08  29146·
 2001 07  92100.
 2001 06  17112·
 2001 05  6100·
 2001 04  8889·
 2001 03  91113.
 2001 02  45110.
 2001 01  12134·
 2000 12 33167.
 2000 11 7149·
 2000 10 93114.
 2000 09 35125·
 2000 08 1398·
 2000 07 23127·
 2000 06 74162·
 2000 05 19139·
 2000 04 4143.
 2000 03 44157·
 2000 02 25144.
 2000 01 35160.
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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 Level: Nonagriculture, Private Households Wage and Salary Workers, 45-54 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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