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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, 45-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8330168·
 2012 03 1330101.
 2012 02 029888·
 2012 01 930004·
 2011 12  2930066·
 2011 11  5230082·
 2011 10  7230137.
 2011 09  1030134.
 2011 08  7329841·
 2011 07  2129893.
 2011 06  7530051.
 2011 05  4230190.
 2011 04  6530138·
 2011 03  229779.
 2011 02  2429860.
 2011 01  4829895·
 2010 12 8030311.
 2010 11 030318.
 2010 10 5630373.
 2010 09 9730414.
 2010 08 2030012·
 2010 07 4829853·
 2010 06 3430058·
 2010 05 8330219·
 2010 04 830395.
 2010 03 230220.
 2010 02 4530155.
 2010 01 2630304·
 2009 12  9630479.
 2009 11  4530827.
 2009 10  330784·
 2009 09  6930396.
 2009 08  5830197.
 2009 07  8130181.
 2009 06  4630279·
 2009 05  8230567·
 2009 04  9630700.
 2009 03  4430580·
 2009 02  3630677.
 2009 01  5930970·
 2008 12 3531201.
 2008 11 9031560.
 2008 10 6131631.
 2008 09 2031468.
 2008 08 2531262.
 2008 07 131177.
 2008 06 3431321·
 2008 05 731383·
 2008 04 4131362.
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 2008 02 9431281.
 2008 01 9031556.
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 2007 09  6431415.
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 2005 07  4129824.
 2005 06  6529837.
 2005 05  7330042·
 2005 04  9629986·
 2005 03  8629923.
 2005 02  2929738·
 2005 01  6029494·
 2004 12 2329581.
 2004 11 4429690.
 2004 10 3329736.
 2004 09 1029696·
 2004 08 5729377.
 2004 07 9629329·
 2004 06 9029136·
 2004 05 6629338·
 2004 04 7229389·
 2004 03 4929244·
 2004 02 3829157·
 2004 01 9828958·
 2003 12  6829275.
 2003 11  3529058.
 2003 10  3929014.
 2003 09  128888.
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 2003 03  5428761·
 2003 02  7928575.
 2003 01  1828295.
 2002 12 2628363·
 2002 11 7728330.
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 2002 08 5228228.
 2002 07 927951.
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 2002 05 7028297·
 2002 04 3728214.
 2002 03 628214.
 2002 02 228298.
 2002 01 1127997.
 2001 12  3128324.
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 2001 10  4628124.
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 2001 07  4927794.
 2001 06  8327984.
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 2001 03  3327932.
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 2000 12 4627860.
 2000 11 5927683.
 2000 10 1727554·
 2000 09 8827272.
 2000 08 7926911.
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 2000 06 1427125.
 2000 05 7027280.
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 2000 02 627030·
 2000 01 826772.
 1999 12  5426353·
 1999 11  3326100·
 1999 10  5726006.
 1999 09  9525836.
 1999 08  2225574.
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 1999 03  5625345.
 1999 02  925342·
 1999 01  2025337.
 1998 12 6825206·
 1998 11 2525041.
 1998 10 6224797.
 1998 09 7224815·
 1998 08 2324482.
 1998 07 3324233.
 1998 06 7524469·
 1998 05 024565·
 1998 04 9124353.
 1998 03 3624412·
 1998 02 3624338·
 1998 01 2424067·
 1997 12  2224272.
 1997 11  1624195·
 1997 10  5724064·
 1997 09  8723993.
 1997 08  9223704·
 1997 07  8023643.
 1997 06  7723794.
 1997 05  5923817·
 1997 04  223735.
 1997 03  5923605.
 1997 02  5823396.
 1997 01  3423131·
 1996 12 7723191·
 1996 11 1023104·
 1996 10 8922960.
 1996 09 3122887·
 1996 08 6722748.
 1996 07 1422549·
 1996 06 8122596.
 1996 05 9422621·
 1996 04 4722417·
 1996 03 7922227.
 1996 02 7422096.
 1996 01 9321836·
 1995 12  1821989·
 1995 11  3521982.
 1995 10  3021953.
 1995 09  2121843·
 1995 08  621576.
 1995 07  4021373.
 1995 06  3721383.
 1995 05  9821563·
 1995 04  6121557.
 1995 03  7521405.
 1995 02  821286·
 1995 01  6821114.
 1994 12 5721267·
 1994 11 4721235·
 1994 10 8021111·
 1994 09 020958·
 1994 08 9620588·
 1994 07 8720320·
 1994 06 1720246·
 1994 05 8720462.
 1994 04 320313·
 1994 03 5220431.
 1994 02 720323.
 1994 01 5020338.
 1993 12  2820510.
 1993 11  2420312.
 1993 10  6220118.
 1993 09  3319801·
 1993 08  4719518·
 1993 07  919292.
 1993 06  2019347·
 1993 05  419370.
 1993 04  6019152.
 1993 03  3919111.
 1993 02  4419007.
 1993 01  5718860·
 1992 12 9218980.
 1992 11 7118968.
 1992 10 2218938.
 1992 09 1218699.
 1992 08 9518555·
 1992 07 8618440.
 1992 06 6718510·
 1992 05 1418465.
 1992 04 4218369·
 1992 03 9018149.
 1992 02 1717961.
 1992 01 3017834.
 1991 12  3517822·
 1991 11  1717682.
 1991 10  3517612·
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 1991 08  017249.
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 1991 06  817243.
 1991 05  917300.
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 1991 03  8517215·
 1991 02  5017145·
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 1990 12 6817233·
 1990 11 1617285.
 1990 10 9817352.
 1990 09 417323.
 1990 08 4717164.
 1990 07 4517132·
 1990 06 1617147.
 1990 05 717084.
 1990 04 4916987·
 1990 03 2817011·
 1990 02 9017004.
 1990 01 6616912.
 1989 12  2517213.
 1989 11  4817237.
 1989 10  3517085·
 1989 09  2417061·
 1989 08  4816905.
 1989 07  1116782.
 1989 06  8716899.
 1989 05  5017101·
 1989 04  2017057·
 1989 03  4916783·
 1989 02  1116768·
 1989 01  3816534.
 1988 12 6716452·
 1988 11 1716363.
 1988 10 9316360·
 1988 09 816337·
 1988 08 3816153.
 1988 07 9916120·
 1988 06 4716035.
 1988 05 316124·
 1988 04 916102·
 1988 03 016016·
 1988 02 1015846·
 1988 01 9315725.
 1987 12  8015721·
 1987 11  5315542.
 1987 10  4615518.
 1987 09  7215500.
 1987 08  7715276·
 1987 07  1315233·
 1987 06  4115311.
 1987 05  5915395·
 1987 04  5015203·
 1987 03  6315160·
 1987 02  1115074·
 1987 01  9814959.
 1986 12 7515130·
 1986 11 915012·
 1986 10 9115061.
 1986 09 5914947.
 1986 08 5114708.
 1986 07 8314677.
 1986 06 4514742·
 1986 05 3514765·
 1986 04 514806.
 1986 03 4114756·
 1986 02 6114724·
 1986 01 4514704·
 1985 12  8614578.
 1985 11  6514528·
 1985 10  5114462·
 1985 09  3514500.
 1985 08  7114364·
 1985 07  6214254·
 1985 06  5514400·
 1985 05  7214505·
 1985 04  5914494.
 1985 03  6314391·
 1985 02  3414333·
 1985 01  5114111.
 1984 12 7614153.
 1984 11 2514205·
 1984 10 7614143.
 1984 09 9214072.
 1984 08 7214093.
 1984 07 3013950·
 1984 06 9414113.
 1984 05 3714160·
 1984 04 2214124·
 1984 03 8314096·
 1984 02 2713875·
 1984 01 5713798·
 1983 12  2813852.
 1983 11  1813897·
 1983 10  3713952.
 1983 09  4613940·
 1983 08  1413687.
 1983 07  9113590·
 1983 06  1213665·
 1983 05  2313638·
 1983 04  3113649·
 1983 03  8213665.
 1983 02  6513612·
 1983 01  3113569·
 1982 12 5413731·
 1982 11 013761.
 1982 10 3313808.
 1982 09 4013839.
 1982 08 8313702.
 1982 07 7413742·
 1982 06 8013897·
 1982 05 4514050·
 1982 04 4513967·
 1982 03 6313958·
 1982 02 9413943.
 1982 01 6313875·
 1981 12  8914073·
 1981 11  4814166·
 1981 10  8714169.
 1981 09  4114063·
 1981 08  9014007·
 1981 07  3513987·
 1981 06  9714185.
 1981 05  4514364.
 1981 04  5014307·
 1981 03  5614212.
 1981 02  8714237·
 1981 01  7214179.
 1980 12 9314161·
 1980 11 6814148.
 1980 10 4614187·
 1980 09 3914201·
 1980 08 7013974·
 1980 07 5213835.
 1980 06 8614017.
 1980 05 9214017·
 1980 04 5714158·
 1980 03 1514171·
 1980 02 4414185·
 1980 01 9814316.
 1979 12  5314448.
 1979 11  8814379·
 1979 10  8514351·
 1979 09  5314335.
 1979 08  8414042.
 1979 07  2913897·
 1979 06  9413960.
 1979 05  7514008·
 1979 04  114147.
 1979 03  1914262.
 1979 02  8714311.
 1979 01  914405.
 1978 12 7914424.
 1978 11 6414551·
 1978 10 014526.
 1978 09 2314410.
 1978 08 1814102·
 1978 07 9613972·
 1978 06 9614011.
 1978 05 1214118·
 1978 04 4314272·
 1978 03 7214245.
 1978 02 6414285·
 1978 01 9514322.
 1977 12  614417·
 1977 11  7314436.
 1977 10  1514315.
 1977 09  1714213·
 1977 08  8113863·
 1977 07  713853·
 1977 06  8913975.
 1977 05  4514085·
 1977 04  6914145·
 1977 03  414081·
 1977 02  4714145·
 1977 01  7514129.
 1976 12 9514254.
 1976 11 2114256·
 1976 10 7914289·
 1976 09 2614187·
 1976 08 1013992·
 1976 07 4113892.
 1976 06 9514054·
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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, Wage and Salary Workers, 45-54 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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