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 Series Title: Number Unemployed for 52 Weeks and over 45-54 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 38380.
 2012 03 90433.
 2012 02 49457.
 2012 01 80450.
 2011 12  72446·
 2011 11  17486·
 2011 10  8542·
 2011 09  69583.
 2011 08  3534·
 2011 07  73567·
 2011 06  99530.
 2011 05  88602·
 2011 04  83546.
 2011 03  41589.
 2011 02  36594·
 2011 01  81574·
 2010 12 86628.
 2010 11 27665.
 2010 10 55611·
 2010 09 18596.
 2010 08 12584.
 2010 07 63608·
 2010 06 20634·
 2010 05 92601.
 2010 04 88680.
 2010 03 4597.
 2010 02 19538·
 2010 01 22580·
 2009 12  63484.
 2009 11  34457·
 2009 10  65356·
 2009 09  53308·
 2009 08  14300·
 2009 07  59286.
 2009 06  95246.
 2009 05  53215.
 2009 04  39271.
 2009 03  9261·
 2009 02  72263·
 2009 01  18226·
 2008 12 65200.
 2008 11 42141·
 2008 10 85160·
 2008 09 65123·
 2008 08 43107·
 2008 07 40109.
 2008 06 46111·
 2008 05 4099·
 2008 04 47129.
 2008 03 9111.
 2008 02 93105.
 2008 01 1180·
 2007 12  7792.
 2007 11  8185.
 2007 10  89100.
 2007 09  7387·
 2007 08  6191·
 2007 07  1277·
 2007 06  2271.
 2007 05  4468.
 2007 04  4689·
 2007 03  84131·
 2007 02  4100.
 2007 01  6970·
 2006 12 1072.
 2006 11 450·
 2006 10 7452.
 2006 09 1780.
 2006 08 5295.
 2006 07 374·
 2006 06 9570·
 2006 05 8183·
 2006 04 9873.
 2006 03 3890·
 2006 02 54109·
 2006 01 82104·
 2005 12  99136.
 2005 11  91125.
 2005 10  64119.
 2005 09  64100·
 2005 08  2898·
 2005 07  6892·
 2005 06  64104·
 2005 05  94119·
 2005 04  88117·
 2005 03  1133.
 2005 02  15114·
 2005 01  69122.
 2004 12 4110·
 2004 11 47142·
 2004 10 7133·
 2004 09 6108·
 2004 08 25124.
 2004 07 86119.
 2004 06 51125·
 2004 05 49138.
 2004 04 27169.
 2004 03 27136·
 2004 02 87158·
 2004 01 69120.
 2003 12  11123.
 2003 11  99149·
 2003 10  76104·
 2003 09  59117·
 2003 08  2115·
 2003 07  61101.
 2003 06  6125·
 2003 05  39120.
 2003 04  50148·
 2003 03  94124·
 2003 02  91154.
 2003 01  51142.
 2002 12 31148·
 2002 11 4115·
 2002 10 68114·
 2002 09 6787.
 2002 08 4590·
 2002 07 2379.
 2002 06 097·
 2002 05 7992.
 2002 04 1779·
 2002 03 898.
 2002 02 7677·
 2002 01 762·
 2001 12  9974.
 2001 11  4094·
 2001 10  755.
 2001 09  9430·
 2001 08  6548·
 2001 07  2636.
 2001 06  3246.
 2001 05  1135.
 2001 04  1544.
 2001 03  9840·
 2001 02  1446.
 2001 01  5240.
 2000 12 7623·
 2000 11 1121·
 2000 10 4117·
 2000 09 3417.
 2000 08 9725·
 2000 07 4935.
 2000 06 2536·
 2000 05 453·
 2000 04 5431.
 2000 03 1734.
 2000 02 537·
 2000 01 2935.
 1999 12  4743.
 1999 11  4745·
 1999 10  4341.
 1999 09  333·
 1999 08  243.
 1999 07  9629.
 1999 06  2857.
 1999 05  4730·
 1999 04  6935·
 1999 03  4636·
 1999 02  7140.
 1999 01  446·
 1998 12 2332.
 1998 11 236.
 1998 10 1129.
 1998 09 4336·
 1998 08 6526·
 1998 07 9848.
 1998 06 1253.
 1998 05 5957·
 1998 04 2147.
 1998 03 8861.
 1998 02 6061·
 1998 01 7049.
 1997 12  4076·
 1997 11  5677·
 1997 10  6889·
 1997 09  2088.
 1997 08  9870·
 1997 07  775.
 1997 06  7655·
 1997 05  8056·
 1997 04  9558·
 1997 03  7386.
 1997 02  4490.
 1997 01  42100.
 1996 12 5774.
 1996 11 1277·
 1996 10 6363·
 1996 09 2786·
 1996 08 3565.
 1996 07 468.
 1996 06 4383·
 1996 05 7887.
 1996 04 2109·
 1996 03 5688·
 1996 02 2387.
 1996 01 6465·
 1995 12  6168·
 1995 11  073·
 1995 10  6768·
 1995 09  8067·
 1995 08  3674·
 1995 07  9277·
 1995 06  6171.
 1995 05  4476.
 1995 04  78110·
 1995 03  1596·
 1995 02  1966·
 1995 01  171.
 1994 12 6263.
 1994 11 7479.
 1994 10 7997.
 1994 09 21119.
 1994 08 89117·
 1994 07 1126·
 1994 06 4146·
 1994 05 96102.
 1994 04 83119·
 1994 03 54133·
 1994 02 81152·
 1994 01 46136.
 1993 12  96140.
 1993 11  13137·
 1993 10  23150.
 1993 09  16125.
 1993 08  2117.
 1993 07  86122.
 1993 06  69122·
 1993 05  75148·
 1993 04  3168·
 1993 03  4164·
 1993 02  80141·
 1993 01  16186·
 1992 12 23138·
 1992 11 23149.
 1992 10 46120.
 1992 09 58148·
 1992 08 12157.
 1992 07 25132.
 1992 06 79138.
 1992 05 47124.
 1992 04 48121·
 1992 03 18142·
 1992 02 16127.
 1992 01 51128·
 1991 12  28104·
 1991 11  3190.
 1991 10  2172·
 1991 09  6462.
 1991 08  8058·
 1991 07  2360.
 1991 06  8274.
 1991 05  572.
 1991 04  5382·
 1991 03  7578·
 1991 02  1278·
 1991 01  1963.
 1990 12 2374.
 1990 11 9361.
 1990 10 4749.
 1990 09 7554.
 1990 08 9055.
 1990 07 1041.
 1990 06 5248·
 1990 05 6639.
 1990 04 8063·
 1990 03 8157·
 1990 02 1440.
 1990 01 1253·
 1989 12  4253.
 1989 11  8862·
 1989 10  4639.
 1989 09  5749·
 1989 08  5340.
 1989 07  3842·
 1989 06  8648·
 1989 05  7140.
 1989 04  1349·
 1989 03  6342·
 1989 02  9748·
 1989 01  4681·
 1988 12 4776·
 1988 11 2076·
 1988 10 6770.
 1988 09 459·
 1988 08 660.
 1988 07 8960·
 1988 06 857·
 1988 05 8649.
 1988 04 6434.
 1988 03 7855·
 1988 02 5955.
 1988 01 6460.
 1987 12  2369.
 1987 11  1785·
 1987 10  8264·
 1987 09  3074.
 1987 08  755.
 1987 07  6557·
 1987 06  6566·
 1987 05  556.
 1987 04  6876.
 1987 03  368·
 1987 02  2278.
 1987 01  3282.
 1986 12 8063·
 1986 11 3675.
 1986 10 9067.
 1986 09 8074·
 1986 08 4467·
 1986 07 9782.
 1986 06 31106·
 1986 05 4372.
 1986 04 8569.
 1986 03 4365.
 1986 02 3588.
 1986 01 4185·
 1985 12  5482·
 1985 11  5485·
 1985 10  1379.
 1985 09  1873·
 1985 08  2667.
 1985 07  3977·
 1985 06  466.
 1985 05  4355·
 1985 04  298.
 1985 03  27102.
 1985 02  7078.
 1985 01  1097.
 1984 12 683·
 1984 11 7791·
 1984 10 080.
 1984 09 3781·
 1984 08 8969·
 1984 07 6984.
 1984 06 687.
 1984 05 7196·
 1984 04 27110·
 1984 03 11124.
 1984 02 26105.
 1984 01 78140.
 1983 12  21119.
 1983 11  33127·
 1983 10  24129.
 1983 09  55128.
 1983 08  94126·
 1983 07  93139.
 1983 06  86133.
 1983 05  18144·
 1983 04  98121.
 1983 03  72121·
 1983 02  26117·
 1983 01  14116.
 1982 12 9100.
 1982 11 7783.
 1982 10 8283.
 1982 09 1154·
 1982 08 2653.
 1982 07 3949.
 1982 06 1770.
 1982 05 368·
 1982 04 7551.
 1982 03 1658·
 1982 02 1842.
 1982 01 964.
 1981 12  650·
 1981 11  8850·
 1981 10  9847.
 1981 09  7442·
 1981 08  9539·
 1981 07  6233·
 1981 06  9637.
 1981 05  6638·
 1981 04  4340·
 1981 03  7158.
 1981 02  7436.
 1981 01  8039·
 1980 12 7348·
 1980 11 7033.
 1980 10 2042·
 1980 09 3539·
 1980 08 3830·
 1980 07 4139.
 1980 06 4728·
 1980 05 7531.
 1980 04 1226.
 1980 03 9227·
 1980 02 9318·
 1980 01 6915.
 1979 12  9622·
 1979 11  5328.
 1979 10  2143.
 1979 09  1118.
 1979 08  1524·
 1979 07  8117·
 1979 06  1817.
 1979 05  2117.
 1979 04  1917·
 1979 03  5832.
 1979 02  9829.
 1979 01  4221.
 1978 12 8425.
 1978 11 9139.
 1978 10 9948·
 1978 09 4447.
 1978 08 1132.
 1978 07 1030·
 1978 06 8329.
 1978 05 2149.
 1978 04 2429·
 1978 03 7436·
 1978 02 3824.
 1978 01 9145.
 1977 12  7447·
 1977 11  6341·
 1977 10  7735.
 1977 09  032.
 1977 08  3636.
 1977 07  8436·
 1977 06  3841.
 1977 05  1660·
 1977 04  1260.
 1977 03  6949.
 1977 02  8464.
 1977 01  3476.
 1976 12 2578.
 1976 11 7463.
 1976 10 370·
 1976 09 7261.
 1976 08 2763.
 1976 07 8162.
 1976 06 772.
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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: Number Unemployed for 52 Weeks and over 45-54 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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