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Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 108.5
2012 03 298.6
2012 02 768.8
2012 01 88·8
2011 12 99.0
2011 11 649.2
2011 10 609·5
2011 09 149.8
2011 08 259·7
2011 07 479·8
2011 06 959·7
2011 05 699·7
2011 04 79·6
2011 03 609.5
2011 02 949.5
2011 01 179·7
2010 12 3210·2
2010 11 1010·7
2010 10 9410.3
2010 09 2710·3
2010 08 9910·3
2010 07 2810·2
2010 06 5910·1
2010 05 9310·3
2010 04 3410·6
2010 03 7110.6
2010 02 7710.6
2010 01 3410·6
2009 12 8710.8
2009 11 2110·8
2009 10 6010·9
2009 09 9410·6
2009 08 3410·5
2009 07 8510.2
2009 06 4610·3
2009 05 4310.1
2009 04 759·6
2009 03 939·4
2009 02 988·9
2009 01 758·2
2008 12 367.6
2008 11 37.0
2008 10 56.7
2008 09 86·2
2008 08 666.3
2008 07 965.8
2008 06 785·6
2008 05 885·4
2008 04 425.0
2008 03 795·0
2008 02 564.8
2008 01 824.9
2007 12 634.9
2007 11 834.6
2007 10 24.7
2007 09 864.7
2007 08 564·6
2007 07 664.6
2007 06 34·5
2007 05 184.3
2007 04 694·4
2007 03 84·4
2007 02 734.4
2007 01 224.6
2006 12 804.4
2006 11 174.4
2006 10 504.3
2006 09 684·4
2006 08 884.6
2006 07 244.6
2006 06 954·5
2006 05 504.5
2006 04 184·7
2006 03 854·6
2006 02 984.7
2006 01 874·7
2005 12 214.7
2005 11 834·9
2005 10 714·9
2005 09 235·0
2005 08 734·9
2005 07 244.9
2005 06 515.0
2005 05 275.0
2005 04 735.1
2005 03 405·1
2005 02 35·4
2005 01 935·2
2004 12 485.4
2004 11 875·4
2004 10 135.4
2004 09 415·5
2004 08 475·4
2004 07 475·6
2004 06 955·6
2004 05 155.7
2004 04 465·6
2004 03 265.8
2004 02 865·6
2004 01 835.7
2003 12 465·8
2003 11 576·0
2003 10 506·1
2003 09 406.1
2003 08 716.2
2003 07 956.3
2003 06 746.4
2003 05 56·2
2003 04 726·2
2003 03 236.0
2003 02 716.0
2003 01 226·0
2002 12 256·1
2002 11 476·0
2002 10 805·8
2002 09 615·7
2002 08 295.8
2002 07 995·9
2002 06 625·9
2002 05 155·9
2002 04 116.1
2002 03 355·8
2002 02 65·9
2002 01 45.8
2001 12 215.8
2001 11 375.5
2001 10 255.3
2001 09 715.0
2001 08 334.8
2001 07 124.5
2001 06 564·4
2001 05 874·3
2001 04 494.2
2001 03 914.1
2001 02 634.1
2001 01 444·1
2000 12 943·8
2000 11 323.8
2000 10 343.8
2000 09 623·8
2000 08 184.0
2000 07 153·8
2000 06 803·8
2000 05 863·9
2000 04 973.7
2000 03 473·8
2000 02 413.9
2000 01 853·9
1999 12 313.9
1999 11 603·9
1999 10 794·0
1999 09 514·0
1999 08 454.1
1999 07 104.2
1999 06 824.1
1999 05 64.0
1999 04 904·2
1999 03 804·0
1999 02 634·3
1999 01 924·1
1998 12 414.2
1998 11 754·2
1998 10 594.3
1998 09 804.4
1998 08 994.3
1998 07 284·4
1998 06 354·4
1998 05 634.3
1998 04 884·2
1998 03 954·5
1998 02 764.5
1998 01 594·4
1997 12 604·6
1997 11 584·4
1997 10 974·6
1997 09 154.7
1997 08 904.7
1997 07 234.8
1997 06 364.9
1997 05 984.8
1997 04 784·9
1997 03 225.1
1997 02 555·1
1997 01 25.2
1996 12 495.2
1996 11 125·3
1996 10 415.1
1996 09 485.1
1996 08 555·0
1996 07 745.3
1996 06 95.2
1996 05 785.5
1996 04 695.5
1996 03 155·4
1996 02 965·4
1996 01 635.6
1995 12 945.5
1995 11 675.5
1995 10 645.4
1995 09 965.5
1995 08 535.6
1995 07 865·5
1995 06 25.5
1995 05 965.6
1995 04 985.7
1995 03 545·3
1995 02 235.3
1995 01 85.4
1994 12 45·3
1994 11 775.6
1994 10 645.8
1994 09 05.9
1994 08 716·0
1994 07 876.1
1994 06 886.1
1994 05 676.1
1994 04 246.4
1994 03 416·6
1994 02 846·7
1994 01 296.7
1993 12 156.5
1993 11 216.5
1993 10 636·7
1993 09 286.6
1993 08 186.8
1993 07 326.9
1993 06 657·0
1993 05 357·1
1993 04 347·0
1993 03 87·0
1993 02 527.1
1993 01 437·1
1992 12 897.3
1992 11 37·4
1992 10 117.4
1992 09 727.6
1992 08 317·7
1992 07 17·7
1992 06 567.9
1992 05 657.5
1992 04 387.5
1992 03 77·4
1992 02 257.5
1992 01 927.2
1991 12 97.2
1991 11 547·0
1991 10 807.0
1991 09 476.9
1991 08 706·9
1991 07 976.8
1991 06 96.9
1991 05 496·8
1991 04 716·7
1991 03 196·7
1991 02 266.6
1991 01 436.2
1990 12 886.2
1990 11 266.1
1990 10 685.8
1990 09 975.7
1990 08 215.5
1990 07 505.3
1990 06 985·1
1990 05 55.2
1990 04 955.3
1990 03 485·1
1990 02 35·0
1990 01 875·1
1989 12 615·1
1989 11 05.1
1989 10 985.1
1989 09 875·1
1989 08 935.1
1989 07 155·1
1989 06 195·1
1989 05 735.0
1989 04 945.1
1989 03 224.9
1989 02 304·9
1989 01 415·2
1988 12 875·2
1988 11 805.2
1988 10 185.1
1988 09 95·2
1988 08 235.5
1988 07 705.2
1988 06 975·2
1988 05 225.4
1988 04 795·3
1988 03 975.5
1988 02 45.5
1988 01 485·5
1987 12 535·5
1987 11 955·6
1987 10 25·8
1987 09 815·7
1987 08 725·9
1987 07 196·0
1987 06 796.2
1987 05 426·1
1987 04 856.2
1987 03 526.3
1987 02 486·5
1987 01 736.5
1986 12 696·5
1986 11 996·8
1986 10 476·9
1986 09 446.9
1986 08 246.8
1986 07 936.9
1986 06 387·1
1986 05 507.1
1986 04 747.0
1986 03 907.1
1986 02 107.1
1986 01 96.7
1985 12 716.9
1985 11 727.0
1985 10 767.0
1985 09 657·1
1985 08 907·1
1985 07 457·3
1985 06 737.2
1985 05 887·1
1985 04 317.2
1985 03 427·1
1985 02 647.2
1985 01 727·3
1984 12 197·3
1984 11 187·2
1984 10 387·4
1984 09 367.3
1984 08 67.5
1984 07 557.5
1984 06 67·1
1984 05 247.5
1984 04 667·9
1984 03 607.9
1984 02 87·9
1984 01 58.2
1983 12 998.4
1983 11 668.6
1983 10 59.1
1983 09 739.5
1983 08 329·8
1983 07 279.7
1983 06 8610·2
1983 05 4810.4
1983 04 1510.6
1983 03 2610·8
1983 02 6310·9
1983 01 7310·9
1982 12 2211.3
1982 11 7011·2
1982 10 7510·9
1982 09 1810.5
1982 08 5410.1
1982 07 9010·0
1982 06 859·9
1982 05 779.6
1982 04 389.5
1982 03 439.2
1982 02 808·9
1982 01 708.7
1981 12 228·7
1981 11 108·3
1981 10 727·9
1981 09 397.5
1981 08 837.2
1981 07 997.2
1981 06 17·4
1981 05 547.3
1981 04 217.1
1981 03 407.3
1981 02 297·4
1981 01 107·4
1980 12 617·3
1980 11 917.5
1980 10 447.5
1980 09 267.5
1980 08 547.7
1980 07 327.8
1980 06 597·5
1980 05 467.4
1980 04 746.8
1980 03 726.1
1980 02 116·0
1980 01 386.0
1979 12 245.6
1979 11 415.6
1979 10 645.6
1979 09 975·5
1979 08 275·6
1979 07 955·4
1979 06 55.3
1979 05 435·2
1979 04 345.5
1979 03 185·4
1979 02 475·5
1979 01 185.4
1978 12 215·5
1978 11 145·4
1978 10 295.4
1978 09 945.6
1978 08 885·5
1978 07 165.8
1978 06 125.5
1978 05 625.7
1978 04 605.7
1978 03 815.9
1978 02 866.0
1978 01 446.1
1977 12 886·1
1977 11 916.4
1977 10 626.5
1977 09 826·5
1977 08 486.7
1977 07 516.6
1977 06 806.8
1977 05 476.8
1977 04 396.9
1977 03 937.1
1977 02 17.2
1977 01 317·2
1976 12 867.6
1976 11 747.6
1976 10 137.5
1976 09 557.6
1976 08 427·5
1976 07 777·4
1976 06 307·5
1976 05 627·2
1976 04 807·4
1976 03 67.4
1976 02 897·4
1976 01 227.7
1975 12 18.0
1975 11 958.2
1975 10 538.4
1975 09 298·5
1975 08 308.2
1975 07 998·6
1975 06 118·7
1975 05 19·0
1975 04 198·7
1975 03 18.4
1975 02 747·9
1975 01 847·8
1974 12 426·8
1974 11 66·2
1974 10 825·7
1974 09 455.5
1974 08 995·0
1974 07 475.1
1974 06 964·9
1974 05 804·8
1974 04 174·7
1974 03 814·6
1974 02 44.7
1974 01 74·7
1973 12 454.5
1973 11 884.5
1973 10 214.2
1973 09 714.4
1973 08 594.4
1973 07 754·3
1973 06 824·3
1973 05 404.4
1973 04 594·5
1973 03 754.5
1973 02 534·6
1973 01 104.6
1972 12 714.6
1972 11 444.7
1972 10 195.2
1972 09 985.1
1972 08 455·3
1972 07 635.3
1972 06 945·2
1972 05 495.4
1972 04 565·3
1972 03 395.4
1972 02 175.3
1972 01 335·5
1971 12 65·7
1971 11 45.7
1971 10 495.6
1971 09 435.7
1971 08 185·7
1971 07 145.7
1971 06 795·6
1971 05 995.6
1971 04 445·5
1971 03 515·5
1971 02 205.5
1971 01 445.5
1970 12 595.7
1970 11 225.5
1970 10 95·2
1970 09 485·0
1970 08 634.8
1970 07 584.7
1970 06 104.6
1970 05 54.5
1970 04 834.2
1970 03 154.0
1970 02 103.8
1970 01 343·5
1969 12 673.2
1969 11 773.1
1969 10 233.2
1969 09 803.3
1969 08 923.1
1969 07 483.2
1969 06 853.1
1969 05 103·0
1969 04 583·1
1969 03 623·0
1969 02 613·0
1969 01 213.1
1968 12 902.9
1968 11 743.0
1968 10 373·0
1968 09 303·0
1968 08 393·1
1968 07 663.2
1968 06 273·2
1968 05 813.0
1968 04 803·0
1968 03 453.3
1968 02 693.5
1968 01 453·4
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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.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
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Example 3: Get Population Level Data for Workers |
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