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 Series Title: Of Total Unemployed 35-44 years Percent Unemployed 15 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2764·5
 2012 03 6761·3
 2012 02 3757.2
 2012 01 7757.9
 2011 12  5362.8
 2011 11  2962.1
 2011 10  7561.0
 2011 09  8962·6
 2011 08  5161.2
 2011 07  9661·8
 2011 06  2163·8
 2011 05  764·0
 2011 04  7266.7
 2011 03  5065.7
 2011 02  8759.6
 2011 01  7359·8
 2010 12 9260.3
 2010 11 9662.7
 2010 10 1064·4
 2010 09 5863.4
 2010 08 1063.7
 2010 07 6760.0
 2010 06 5564·9
 2010 05 5467·2
 2010 04 5370·9
 2010 03 1964·5
 2010 02 860·1
 2010 01 8353.2
 2009 12  7057·6
 2009 11  3560·6
 2009 10  8359.7
 2009 09  8759·2
 2009 08  3755·7
 2009 07  2055·8
 2009 06  1756.5
 2009 05  3553.7
 2009 04  5453·2
 2009 03  647·1
 2009 02  7441·8
 2009 01  2336.8
 2008 12 4738·9
 2008 11 5039·1
 2008 10 4141·7
 2008 09 6939·1
 2008 08 6737·2
 2008 07 3340·1
 2008 06 3137·5
 2008 05 1637.8
 2008 04 8741.8
 2008 03 6235.7
 2008 02 8236·9
 2008 01 3535.7
 2007 12  1032.0
 2007 11  7035.8
 2007 10  5835·9
 2007 09  2040·4
 2007 08  6035·7
 2007 07  1136·7
 2007 06  4538.7
 2007 05  8934·9
 2007 04  8739.2
 2007 03  6936.8
 2007 02  5633·0
 2007 01  8730·1
 2006 12 6830.1
 2006 11 5033.2
 2006 10 3131·9
 2006 09 8335·5
 2006 08 233.6
 2006 07 8436.7
 2006 06 3137.0
 2006 05 7141·7
 2006 04 1440·6
 2006 03 3042.5
 2006 02 4437·2
 2006 01 7032.2
 2005 12  5734·5
 2005 11  6836·0
 2005 10  8437.2
 2005 09  2436.6
 2005 08  340.2
 2005 07  635.4
 2005 06  8833.8
 2005 05  339.2
 2005 04  5544.2
 2005 03  7442.4
 2005 02  1936·0
 2005 01  036.4
 2004 12 3741.7
 2004 11 3037.9
 2004 10 6442·3
 2004 09 3542·7
 2004 08 041.1
 2004 07 5538·4
 2004 06 3841·2
 2004 05 5248.2
 2004 04 1947.6
 2004 03 5646·4
 2004 02 7844.7
 2004 01 2041·9
 2003 12  9542.2
 2003 11  6544.5
 2003 10  4643·0
 2003 09  3345.8
 2003 08  5243·6
 2003 07  3746.2
 2003 06  3146.2
 2003 05  1045.2
 2003 04  4246·5
 2003 03  5644·1
 2003 02  4537·5
 2003 01  9639·1
 2002 12 4042.9
 2002 11 2638.6
 2002 10 2641.1
 2002 09 6039.7
 2002 08 4638.0
 2002 07 8140·0
 2002 06 3844·0
 2002 05 9544.4
 2002 04 8544.1
 2002 03 7637·8
 2002 02 6735·5
 2002 01 2132·1
 2001 12  931.7
 2001 11  9431·7
 2001 10  2830.7
 2001 09  8130.7
 2001 08  9127.6
 2001 07  4026.1
 2001 06  5825.5
 2001 05  4731.0
 2001 04  3431·1
 2001 03  4729·5
 2001 02  1925·1
 2001 01  1024·7
 2000 12 6125·8
 2000 11 7225·3
 2000 10 031.1
 2000 09 9127·1
 2000 08 2427·1
 2000 07 9526·1
 2000 06 1426.9
 2000 05 3331·4
 2000 04 9830.7
 2000 03 2329.0
 2000 02 9826·9
 2000 01 627.5
 1999 12  8326.9
 1999 11  8929.8
 1999 10  1530·8
 1999 09  427.5
 1999 08  426·6
 1999 07  4932.2
 1999 06  5434·8
 1999 05  4530·4
 1999 04  1331·8
 1999 03  8434·2
 1999 02  2630.8
 1999 01  7529.8
 1998 12 8428·7
 1998 11 129·8
 1998 10 7134·4
 1998 09 6234.9
 1998 08 1829.0
 1998 07 3228.0
 1998 06 5128·9
 1998 05 131·9
 1998 04 4031·2
 1998 03 3332.5
 1998 02 5331.8
 1998 01 1031.0
 1997 12  134·0
 1997 11  8634.1
 1997 10  9135.0
 1997 09  3437·2
 1997 08  7634·0
 1997 07  9835·4
 1997 06  333.7
 1997 05  4240.1
 1997 04  6542·3
 1997 03  040·4
 1997 02  5134·2
 1997 01  2731.6
 1996 12 9433.7
 1996 11 4933·8
 1996 10 2336.9
 1996 09 1038.9
 1996 08 1335·6
 1996 07 2637·2
 1996 06 3338·7
 1996 05 3439·9
 1996 04 9846·3
 1996 03 3941·4
 1996 02 1835·1
 1996 01 6834.0
 1995 12  4838.3
 1995 11  1838.5
 1995 10  4035.6
 1995 09  735·8
 1995 08  9033.6
 1995 07  2131.4
 1995 06  8937.5
 1995 05  6943·0
 1995 04  7442·4
 1995 03  2937·7
 1995 02  7735·9
 1995 01  9934·8
 1994 12 7539·8
 1994 11 4940·3
 1994 10 4142·9
 1994 09 6738.3
 1994 08 9335.6
 1994 07 1238·9
 1994 06 4541·1
 1994 05 6544·1
 1994 04 5447·1
 1994 03 7542.8
 1994 02 7642·4
 1994 01 1440.5
 1993 12  939.4
 1993 11  2040.2
 1993 10  4739.7
 1993 09  5640·4
 1993 08  3242.0
 1993 07  5339.8
 1993 06  9743.3
 1993 05  6348·7
 1993 04  2448·6
 1993 03  747·7
 1993 02  8846·1
 1993 01  2745·2
 1992 12 1144.1
 1992 11 3643.4
 1992 10 843·1
 1992 09 6840·8
 1992 08 4237·5
 1992 07 2440.7
 1992 06 7044.1
 1992 05 2946.7
 1992 04 9445·9
 1992 03 7744.7
 1992 02 1242·0
 1992 01 8138·7
 1991 12  6736·8
 1991 11  2634·9
 1991 10  9734·6
 1991 09  1734·6
 1991 08  8532.6
 1991 07  2934·3
 1991 06  1236·7
 1991 05  5737.8
 1991 04  036·8
 1991 03  6632·1
 1991 02  7028·9
 1991 01  4428.4
 1990 12 8729·0
 1990 11 4527·2
 1990 10 1028.5
 1990 09 4728·1
 1990 08 4628.8
 1990 07 9728.3
 1990 06 9428.8
 1990 05 6133·7
 1990 04 232·1
 1990 03 7827.6
 1990 02 1126·2
 1990 01 625·2
 1989 12  724·2
 1989 11  7123·5
 1989 10  7226·1
 1989 09  2423·7
 1989 08  3524·9
 1989 07  8224·8
 1989 06  1727·7
 1989 05  8532·0
 1989 04  8633·5
 1989 03  4330·7
 1989 02  725.3
 1989 01  8425·6
 1988 12 8724.2
 1988 11 1023·8
 1988 10 3127·3
 1988 09 3932.0
 1988 08 8730·8
 1988 07 6429.8
 1988 06 135.2
 1988 05 9531·8
 1988 04 6236.0
 1988 03 1434.8
 1988 02 5631.7
 1988 01 2128·5
 1987 12  1333·0
 1987 11  8932.8
 1987 10  5928.7
 1987 09  1030.8
 1987 08  6429.9
 1987 07  4729.2
 1987 06  9638·2
 1987 05  8341·0
 1987 04  6742·1
 1987 03  7036·2
 1987 02  8233·7
 1987 01  8331·7
 1986 12 9634·4
 1986 11 6430.5
 1986 10 5428.2
 1986 09 7931.5
 1986 08 5132·8
 1986 07 6131.4
 1986 06 7533.5
 1986 05 6536.3
 1986 04 5938·2
 1986 03 1737·0
 1986 02 3334.7
 1986 01 6231.0
 1985 12  7031·3
 1985 11  1431.9
 1985 10  4032·2
 1985 09  1131.4
 1985 08  5932·7
 1985 07  5934·1
 1985 06  3634.5
 1985 05  8438·3
 1985 04  2643.3
 1985 03  8336·8
 1985 02  8135·0
 1985 01  7432.2
 1984 12 9736.8
 1984 11 4333·0
 1984 10 6530.9
 1984 09 033·1
 1984 08 2234·2
 1984 07 2139.1
 1984 06 141.9
 1984 05 645·7
 1984 04 7745.3
 1984 03 2344·0
 1984 02 2542·0
 1984 01 6240.0
 1983 12  6240·9
 1983 11  8144.9
 1983 10  242.9
 1983 09  6143.2
 1983 08  245·2
 1983 07  5248·7
 1983 06  1851.3
 1983 05  2354·7
 1983 04  4953·4
 1983 03  1646.4
 1983 02  8845.4
 1983 01  9243.2
 1982 12 7642·4
 1982 11 8238·8
 1982 10 4839·7
 1982 09 3737·3
 1982 08 8537.3
 1982 07 8036·2
 1982 06 6241·6
 1982 05 5241.8
 1982 04 139·9
 1982 03 6636·6
 1982 02 1731.3
 1982 01 5629.5
 1981 12  7428·6
 1981 11  2430.2
 1981 10  2731.1
 1981 09  9427·9
 1981 08  8029.2
 1981 07  5930·5
 1981 06  2935·4
 1981 05  3440·7
 1981 04  1939.1
 1981 03  338.1
 1981 02  8735.9
 1981 01  7135.7
 1980 12 1636·0
 1980 11 1332·3
 1980 10 8732.2
 1980 09 2432.6
 1980 08 2329·8
 1980 07 7025.2
 1980 06 4327·0
 1980 05 3729.5
 1980 04 1433.2
 1980 03 8127.4
 1980 02 9424·1
 1980 01 7922·6
 1979 12  8924·7
 1979 11  7824·2
 1979 10  123·3
 1979 09  4422·7
 1979 08  7522·9
 1979 07  1625.7
 1979 06  5328·7
 1979 05  5231·6
 1979 04  2134.3
 1979 03  7933·2
 1979 02  6226·6
 1979 01  4624.6
 1978 12 325·1
 1978 11 7221.0
 1978 10 6718·9
 1978 09 9622·3
 1978 08 2120·6
 1978 07 2726·2
 1978 06 3031·7
 1978 05 9632.4
 1978 04 138.3
 1978 03 135·7
 1978 02 3929·2
 1978 01 6527·6
 1977 12  9333·7
 1977 11  7630.1
 1977 10  726.3
 1977 09  4628·4
 1977 08  7231·1
 1977 07  5735.5
 1977 06  7336.2
 1977 05  1132·9
 1977 04  3939·0
 1977 03  7833·1
 1977 02  9833·4
 1977 01  5128.3
 1976 12 2038·4
 1976 11 9331·5
 1976 10 7133.0
 1976 09 8732.6
 1976 08 6431·1
 1976 07 8637.4
 1976 06 541·4
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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: Of Total Unemployed 35-44 years Percent Unemployed 15 Weeks and over: 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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