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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 35-44 years, Men: NSA
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 2012 04 749.
 2012 03 609·
 2012 02 6318·
 2012 01 2517·
 2011 12  913·
 2011 11  8124.
 2011 10  1112·
 2011 09  969·
 2011 08  1623·
 2011 07  814·
 2011 06  6611.
 2011 05  735·
 2011 04  479·
 2011 03  2110.
 2011 02  4111·
 2011 01  9913.
 2010 12 766·
 2010 11 2615·
 2010 10 7414.
 2010 09 4313.
 2010 08 431·
 2010 07 5717.
 2010 06 2819·
 2010 05 9910.
 2010 04 566.
 2010 03 6919.
 2010 02 9123·
 2010 01 8719·
 2009 12  828.
 2009 11  4319·
 2009 10  7515.
 2009 09  5018.
 2009 08  5912·
 2009 07  888.
 2009 06  197·
 2009 05  588.
 2009 04  858.
 2009 03  3319·
 2009 02  856·
 2009 01  58·
 2008 12 8820.
 2008 11 3617.
 2008 10 6121·
 2008 09 1013·
 2008 08 166.
 2008 07 7912·
 2008 06 61
 2008 05 176·
 2008 04 47
 2008 03 6810·
 2008 02 218·
 2008 01 9616.
 2007 12  7820·
 2007 11  3520.
 2007 10  68·
 2007 09  4011.
 2007 08  3819.
 2007 07  365·
 2007 06  212.
 2007 05  6825·
 2007 04  7535.
 2007 03  5331.
 2007 02  2431·
 2007 01  2519·
 2006 12 6426.
 2006 11 9221·
 2006 10 724·
 2006 09 8120·
 2006 08 817.
 2006 07 8722·
 2006 06 174.
 2006 05 2810·
 2006 04 3010·
 2006 03 927.
 2006 02 399.
 2006 01 8612·
 2005 12  8213·
 2005 11  899.
 2005 10  8810·
 2005 09  09.
 2005 08  3812.
 2005 07  8614·
 2005 06  29.
 2005 05  3812·
 2005 04  9911.
 2005 03  149·
 2005 02  4217.
 2005 01  9521·
 2004 12 9012.
 2004 11 2912.
 2004 09 9712·
 2004 08 8918·
 2004 07 6214.
 2004 06 1411·
 2004 05 808.
 2004 04 659·
 2004 03 9114.
 2004 02 749.
 2004 01 297.
 2003 12  938.
 2003 11  765.
 2003 10  422·
 2003 09  76.
 2003 08  6511·
 2003 07  4321·
 2003 06  7416·
 2003 05  113·
 2003 04  211·
 2003 03  4214·
 2003 02  5211.
 2003 01  2415.
 2002 12 4718·
 2002 11 4921.
 2002 10 8211.
 2002 09 1516·
 2002 08 7023·
 2002 07 6525.
 2002 06 9626.
 2002 05 3628.
 2002 04 6410.
 2002 03 1311.
 2002 02 5011·
 2002 01 7516.
 2001 12  4919·
 2001 11  4618.
 2001 10  2719.
 2001 09  4516·
 2001 08  70
 2001 07  3814·
 2001 06  3313·
 2001 05  8413·
 2001 04  949·
 2001 03  9012.
 2001 02  013.
 2001 01  555·
 2000 12 177.
 2000 11 266.
 2000 10 8310·
 2000 09 4510·
 2000 08 5714.
 2000 07 998.
 2000 06 666.
 2000 05 687.
 2000 04 599·
 2000 03 8216·
 2000 02 5412·
 2000 01 62
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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, 35-44 years, Men: 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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