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 Series Title: Percent of Total New Entrants 20 years and over, Women Unemployed 27 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 2146·6
 2012 03 3354·2
 2012 02 6357·9
 2012 01 1959.6
 2011 12  3449.4
 2011 11  4448.2
 2011 10  8564.6
 2011 09  2649.1
 2011 08  1342.0
 2011 07  5342·3
 2011 06  948.7
 2011 05  3251·3
 2011 04  949·5
 2011 03  4150·9
 2011 02  4650.0
 2011 01  8053·5
 2010 12 9747·0
 2010 11 1742.3
 2010 10 3542.3
 2010 09 4145·1
 2010 08 7738·3
 2010 07 1134.0
 2010 06 3831.5
 2010 05 843.6
 2010 04 7648·3
 2010 03 8039.8
 2010 02 4439·1
 2010 01 9947·6
 2009 12  4249.0
 2009 11  636·7
 2009 10  6537·9
 2009 09  6135.5
 2009 08  5232·6
 2009 07  9531.0
 2009 06  4034·7
 2009 05  6033.9
 2009 04  725.4
 2009 03  7938·9
 2009 02  3028·0
 2009 01  9344·4
 2008 12 3136.5
 2008 11 1536·5
 2008 10 2533·2
 2008 09 7724.3
 2008 08 7422·7
 2008 07 8322.2
 2008 06 3619·3
 2008 05 5723.2
 2008 04 1316·3
 2008 03 9213.8
 2008 02 328.0
 2008 01 223·6
 2007 12  4818.3
 2007 11  7227.5
 2007 10  8721·9
 2007 09  719·4
 2007 08  320·8
 2007 07  8123.1
 2007 06  7711.4
 2007 05  9015.9
 2007 04  3020.7
 2007 03  9932.1
 2007 02  8522·1
 2007 01  9512·7
 2006 12 417.1
 2006 11 3321·2
 2006 10 4920·6
 2006 09 9227·6
 2006 08 2526.1
 2006 07 1629.5
 2006 06 3323·0
 2006 05 7440·5
 2006 04 1924·4
 2006 03 434.9
 2006 02 2425.5
 2006 01 6219·0
 2005 12  3534·7
 2005 11  7711·8
 2005 10  3518.2
 2005 09  9826.1
 2005 08  5029.1
 2005 07  4417.8
 2005 06  425·5
 2005 05  5342·2
 2005 04  6439·4
 2005 03  3534.4
 2005 02  9423·7
 2005 01  2018·6
 2004 12 224·2
 2004 11 834.4
 2004 10 9228.6
 2004 09 1931.3
 2004 08 1417·5
 2004 07 4413·7
 2004 06 1328·0
 2004 05 9326.2
 2004 04 7727·0
 2004 03 4934·6
 2004 02 9225.5
 2004 01 1228·4
 2003 12  8931·3
 2003 11  5530·6
 2003 10  9433.6
 2003 09  7030.3
 2003 08  7826·4
 2003 07  2022.0
 2003 06  730·2
 2003 05  8623·8
 2003 04  9229·0
 2003 03  2330·8
 2003 02  4251.5
 2003 01  446.8
 2002 12 831.8
 2002 11 7327.8
 2002 10 3923.2
 2002 09 9432·4
 2002 08 2622.9
 2002 07 127·1
 2002 06 5918.3
 2002 05 4920.6
 2002 04 7133.9
 2002 03 6329.5
 2002 02 9215.1
 2002 01 8818·8
 2001 12  9413.4
 2001 11  4117.6
 2001 10  4916.3
 2001 09  5616.4
 2001 08  706.4
 2001 07  4110.1
 2001 06  6819·1
 2001 05  2212.4
 2001 04  9924.2
 2001 03  9621.0
 2001 02  1423·9
 2001 01  8126.5
 2000 12 726·0
 2000 11 6219·9
 2000 10 7240·8
 2000 09 5023.5
 2000 08 4518·6
 2000 07 2126·4
 2000 06 5711·5
 2000 05 749.8
 2000 04 8718.2
 2000 03 7912·9
 2000 02 611.3
 2000 01 2415·4
 1999 12  3419·4
 1999 11  6817·2
 1999 10  8320.4
 1999 09  9124·6
 1999 08  1125.8
 1999 07  4421·1
 1999 06  7418·9
 1999 05  9714.5
 1999 04  7034.5
 1999 03  8914·4
 1999 02  9319.0
 1999 01  8415.9
 1998 12 8425·3
 1998 11 1134.5
 1998 10 7831·8
 1998 09 2220.7
 1998 08 5531·8
 1998 07 3914·6
 1998 06 9113.8
 1998 05 518·5
 1998 04 825·8
 1998 03 3237.1
 1998 02 2125.7
 1998 01 5324·1
 1997 12  9322.5
 1997 11  7118·0
 1997 10  8121.2
 1997 09  923·5
 1997 08  8630·6
 1997 07  6227.9
 1997 06  726·1
 1997 05  4330.8
 1997 04  8739·2
 1997 03  3731.2
 1997 02  6429·2
 1997 01  4831·1
 1996 12 2227·7
 1996 11 5224·9
 1996 10 3924.3
 1996 09 4430·8
 1996 08 4129·3
 1996 07 9025·3
 1996 06 4517.2
 1996 05 7624.4
 1996 04 1929·4
 1996 03 5734.0
 1996 02 2037·0
 1996 01 1137.0
 1995 12  5632·5
 1995 11  8426.1
 1995 10  2721.6
 1995 09  4535.8
 1995 08  7918.4
 1995 07  2917·4
 1995 06  5317·0
 1995 05  9622.0
 1995 04  3723·4
 1995 03  7323·2
 1995 02  1225·6
 1995 01  831.4
 1994 12 641·0
 1994 11 2230·0
 1994 10 4240·3
 1994 09 5226.6
 1994 08 8630·0
 1994 07 822·0
 1994 06 433.6
 1994 05 2031·5
 1994 04 332.8
 1994 03 8829.6
 1994 02 8827.1
 1994 01 3228.8
 1993 12  712.9
 1993 11  4320.2
 1993 10  613·8
 1993 09  3213·9
 1993 08  7415.7
 1993 07  8010.8
 1993 06  9614·5
 1993 05  8915.2
 1993 04  311·8
 1993 03  3116·2
 1993 02  2117·9
 1993 01  9810·2
 1992 12 2119.9
 1992 11 5318.2
 1992 10 6915·1
 1992 09 7810·9
 1992 08 7711.2
 1992 07 2617.2
 1992 06 5213.2
 1992 05 728.0
 1992 04 4713.7
 1992 03 589.9
 1992 02 913·9
 1992 01 507.4
 1991 12  317.8
 1991 11  8110·2
 1991 10  28·8
 1991 09  612.3
 1991 08  569·1
 1991 07  507·4
 1991 06  209·7
 1991 05  596·8
 1991 04  7010.0
 1991 03  4810.1
 1991 02  756·9
 1991 01  535·2
 1990 12 5014.3
 1990 11 8112.9
 1990 10 512.0
 1990 09 573.5
 1990 08 968·2
 1990 07 808·7
 1990 06 735.3
 1990 05 673·1
 1990 04 339·9
 1990 03 416.4
 1990 02 676·0
 1990 01 993.4
 1989 12  124·4
 1989 11  3213·9
 1989 10  06·7
 1989 09  07.9
 1989 08  82.7
 1989 07  7215.0
 1989 06  108.7
 1989 05  379·1
 1989 04  229·7
 1989 03  557·8
 1989 02  594·6
 1989 01  69·1
 1988 12 7816.7
 1988 11 3910.1
 1988 10 3514.2
 1988 09 259.7
 1988 08 2813·6
 1988 07 410·2
 1988 06 527.7
 1988 05 3812.7
 1988 04 4719.5
 1988 03 5810·4
 1988 02 4714·3
 1988 01 1511.5
 1987 12  3420·6
 1987 11  3111·7
 1987 10  847·1
 1987 09  498·8
 1987 08  1610.1
 1987 07  8111·6
 1987 06  4912.0
 1987 05  6011·4
 1987 04  4313.2
 1987 03  9025·5
 1987 02  5617.2
 1987 01  9217·4
 1986 12 9017.6
 1986 11 6313·0
 1986 10 4311.0
 1986 09 1511·8
 1986 08 589.9
 1986 07 328·0
 1986 06 7314·2
 1986 05 2113·5
 1986 04 7215.3
 1986 03 5512·6
 1986 02 3415.0
 1986 01 3114.5
 1985 12  8214.9
 1985 11  137.6
 1985 10  3711.1
 1985 09  8811·0
 1985 08  6411.7
 1985 07  1212·2
 1985 06  238·5
 1985 05  6211.0
 1985 04  1821.1
 1985 03  8417.7
 1985 02  5218.6
 1985 01  4614·8
 1984 12 7019·3
 1984 11 8622·1
 1984 10 1414.6
 1984 09 6112·8
 1984 08 7017.0
 1984 07 9912·2
 1984 06 2119·2
 1984 05 4917.9
 1984 04 9316·6
 1984 03 3022·8
 1984 02 1019·8
 1984 01 8122.7
 1983 12  4019·8
 1983 11  1115·7
 1983 10  4619·2
 1983 09  5017.7
 1983 08  3616.7
 1983 07  9818.3
 1983 06  1515.2
 1983 05  7614.6
 1983 04  3213·8
 1983 03  7313.6
 1983 02  3110·1
 1983 01  225·3
 1982 12 218.6
 1982 11 4316.1
 1982 10 3116.5
 1982 09 9812.7
 1982 08 4811·6
 1982 07 3920.4
 1982 06 7912·3
 1982 05 5812·4
 1982 04 9510.9
 1982 03 1711·4
 1982 02 6210.9
 1982 01 17·1
 1981 12  9220·1
 1981 11  6117·4
 1981 10  9312.8
 1981 09  7113·9
 1981 08  179·8
 1981 07  7512.7
 1981 06  105.9
 1981 05  3710·6
 1981 04  6815·5
 1981 03  9217·2
 1981 02  7714·4
 1981 01  945·3
 1980 12 710·7
 1980 11 6810.3
 1980 10 8011·3
 1980 09 602.5
 1980 08 778·9
 1980 07 867·6
 1980 06 334.0
 1980 05 8113·1
 1980 04 6115·6
 1980 03 5114·8
 1980 02 7311.0
 1980 01 247.6
 1979 12  2411.2
 1979 11  9512.1
 1979 10  6410.3
 1979 09  843·7
 1979 08  909.6
 1979 07  768·9
 1979 06  9311.9
 1979 05  8011·4
 1979 04  117·3
 1979 03  7410·3
 1979 02  747·6
 1979 01  5711·0
 1978 12 619.1
 1978 11 965·6
 1978 10 4410·4
 1978 09 837·5
 1978 08 415·0
 1978 07 757·4
 1978 06 667·3
 1978 05 5210·3
 1978 04 777.3
 1978 03 6512·0
 1978 02 2812.5
 1978 01 8412·6
 1977 12  1819·6
 1977 11  5022.0
 1977 10  4320.0
 1977 09  2414.4
 1977 08  4117.7
 1977 07  3612.2
 1977 06  4810·2
 1977 05  3913·1
 1977 04  4513.0
 1977 03  5413.6
 1977 02  75·4
 1977 01  2411·9
 1976 12 569·1
 1976 11 615.4
 1976 10 88·8
 1976 09 999.1
 1976 08 2512.8
 1976 07 394.5
 1976 06 6311·9
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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: Percent of Total New Entrants 20 years and over, Women Unemployed 27 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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