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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 35-44 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8024013·
 2012 03 1723844·
 2012 02 5923757.
 2012 01 7923760·
 2011 12  7123581·
 2011 11  3423663·
 2011 10  6723456·
 2011 09  9923337·
 2011 08  4223068·
 2011 07  6323381.
 2011 06  8823221·
 2011 05  3123458.
 2011 04  4223655·
 2011 03  8423565.
 2011 02  3623484·
 2011 01  1823480·
 2010 12 4623656.
 2010 11 423560.
 2010 10 4723461·
 2010 09 3023272·
 2010 08 5623609·
 2010 07 5523452·
 2010 06 8623498·
 2010 05 6023773·
 2010 04 9623711·
 2010 03 9423569.
 2010 02 4023414.
 2010 01 2823422.
 2009 12  1723613·
 2009 11  223759.
 2009 10  2123891·
 2009 09  7824158·
 2009 08  9424232.
 2009 07  8624229·
 2009 06  6924266.
 2009 05  7824326·
 2009 04  2724494.
 2009 03  7724529.
 2009 02  4524661.
 2009 01  2424870·
 2008 12 4225493·
 2008 11 3225614·
 2008 10 3725862.
 2008 09 3425747.
 2008 08 9025599.
 2008 07 3425682.
 2008 06 5925820.
 2008 05 5325955·
 2008 04 4626023·
 2008 03 8726216.
 2008 02 4826071·
 2008 01 4926220·
 2007 12  926629·
 2007 11  2426716.
 2007 10  6826623·
 2007 09  1726530·
 2007 08  726512.
 2007 07  226184·
 2007 06  526188·
 2007 05  7626412.
 2007 04  8826455.
 2007 03  326552.
 2007 02  7426595·
 2007 01  7026561.
 2006 12 2826691.
 2006 11 3226869·
 2006 10 1126962.
 2006 09 6726931·
 2006 08 2826853·
 2006 07 2226581·
 2006 06 8026678.
 2006 05 6426641·
 2006 04 1326711·
 2006 03 2926687.
 2006 02 6926687·
 2006 01 7726548.
 2005 12  3426800·
 2005 11  3526745·
 2005 10  9126935·
 2005 09  5227166·
 2005 08  6626873·
 2005 07  4726687·
 2005 06  8226492.
 2005 05  5826678.
 2005 04  926611·
 2005 03  9526548·
 2005 02  826301·
 2005 01  8926361·
 2004 12 8826757·
 2004 11 3826751·
 2004 10 5426767·
 2004 09 6326571.
 2004 08 5526332·
 2004 07 5626673.
 2004 06 3426690.
 2004 05 2626758·
 2004 04 8326703·
 2004 03 5626571·
 2004 02 8726584·
 2004 01 4626551·
 2003 12  7527013·
 2003 11  6927099.
 2003 10  7426849.
 2003 09  1726792.
 2003 08  5526835.
 2003 07  5326579·
 2003 06  8526711·
 2003 05  5926987.
 2003 04  7427025.
 2003 03  8926978.
 2003 02  3026826.
 2003 01  1626843.
 2002 12 626909.
 2002 11 8326915.
 2002 10 5027094·
 2002 09 5627181.
 2002 08 5327202·
 2002 07 6826981·
 2002 06 627134.
 2002 05 7527250.
 2002 04 4027249.
 2002 03 027351.
 2002 02 8627500.
 2002 01 9027374.
 2001 12  1727553·
 2001 11  6027596·
 2001 10  327563.
 2001 09  4727554.
 2001 08  6027630·
 2001 07  5627641·
 2001 06  9627735·
 2001 05  1428073·
 2001 04  6828265·
 2001 03  1828246.
 2001 02  2728083.
 2001 01  8527994.
 2000 12 6828133·
 2000 11 428364.
 2000 10 8328308·
 2000 09 8128148.
 2000 08 927966·
 2000 07 9528038·
 2000 06 7828040·
 2000 05 4428138·
 2000 04 6828091·
 2000 03 9727767.
 2000 02 5027825·
 2000 01 4427662·
 1999 12  4428134.
 1999 11  4328292·
 1999 10  6228167·
 1999 09  7527965.
 1999 08  6327748·
 1999 07  8927753·
 1999 06  127744·
 1999 05  5628065.
 1999 04  7527852.
 1999 03  1727777·
 1999 02  8027706·
 1999 01  3227614.
 1998 12 5627823·
 1998 11 3327598.
 1998 10 3827881·
 1998 09 7127633·
 1998 08 627624.
 1998 07 6927577.
 1998 06 3727331·
 1998 05 6827468.
 1998 04 5127261.
 1998 03 8127218.
 1998 02 6527209.
 1998 01 4227021.
 1997 12  4027421.
 1997 11  5227590·
 1997 10  3527630.
 1997 09  3627476·
 1997 08  5027256.
 1997 07  8826989·
 1997 06  8426736·
 1997 05  2126719·
 1997 04  8026514·
 1997 03  2026545·
 1997 02  7626461.
 1997 01  9026180·
 1996 12 5626433·
 1996 11 526528.
 1996 10 9926459·
 1996 09 6226246.
 1996 08 2926032·
 1996 07 2525990·
 1996 06 6625889·
 1996 05 8225697.
 1996 04 7425451.
 1996 03 8725461.
 1996 02 1325375·
 1996 01 1825314·
 1995 12  9025508.
 1995 11  2225373·
 1995 10  625407.
 1995 09  6525347·
 1995 08  524972·
 1995 07  8625138.
 1995 06  3025083.
 1995 05  4224880.
 1995 04  6724756.
 1995 03  6224632.
 1995 02  9924714·
 1995 01  9324633.
 1994 12 5324921·
 1994 11 5524756·
 1994 10 5124807·
 1994 09 8824612.
 1994 08 6224272·
 1994 07 9924479·
 1994 06 4924300·
 1994 05 1924414.
 1994 04 2124124.
 1994 03 4823886.
 1994 02 8123901·
 1994 01 723685·
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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 Industries Wage and Salary Workers, 35-44 years: 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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