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Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
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1976 06 6933.
1976 07 2725.
1976 08 6433.
1976 09 5934·
1976 10 1341.
1976 11 2938·
1976 12 1439·
1977 01 541.
1977 02 1637.
1977 03 2329.
1977 04 5929·
1977 05 4330.
1977 06 3031·
1977 07 9127.
1977 08 1128.
1977 09 1830·
1977 10 3040·
1977 11 4036·
1977 12 937·
1978 01 9835·
1978 02 1638·
1978 03 130.
1978 04 1534·
1978 05 7832.
1978 06 1432·
1978 07 3040.
1978 08 1731.
1978 09 7745·
1978 10 7444·
1978 11 1039·
1978 12 2936.
1979 01 4036.
1979 02 7143·
1979 03 4741.
1979 04 8743.
1979 05 3442.
1979 06 637.
1979 07 7342·
1979 08 5546·
1979 09 5548·
1979 10 552·
1979 11 4449·
1979 12 2153·
1980 01 2255·
1980 02 1758·
1980 03 4257.
1980 04 9851·
1980 05 7854.
1980 06 1846.
1980 07 7444·
1980 08 2343·
1980 09 9346.
1980 10 847.
1980 11 7144·
1980 12 6042.
1981 01 6141.
1981 02 1341.
1981 03 8947.
1981 04 9654·
1981 05 156·
1981 06 8347.
1981 07 1258.
1981 08 4555·
1981 09 5753·
1981 10 9455·
1981 11 4456·
1981 12 4352·
1982 01 9950.
1982 02 4649.
1982 03 1950·
1982 04 5463·
1982 05 2071.
1982 06 6457·
1982 07 9262·
1982 08 6756.
1982 09 4059.
1982 10 9964.
1982 11 4458.
1982 12 9361.
1983 01 367·
1983 02 2667.
1983 03 8469.
1983 04 7175·
1983 05 7873·
1983 06 4578·
1983 07 4274·
1983 08 6371·
1983 09 5883.
1983 10 8382·
1983 11 7582·
1983 12 5868.
1984 01 6467·
1984 02 8973·
1984 03 6579·
1984 04 6888.
1984 05 3997.
1984 06 3895.
1984 07 1892·
1984 08 3286.
1984 09 5386·
1984 10 3173·
1984 11 6662.
1984 12 1257·
1985 01 060·
1985 02 9460.
1985 03 6661.
1985 04 9565·
1985 05 9880·
1985 06 7770·
1985 07 9957.
1985 08 9676.
1985 09 9276·
1985 10 5576·
1985 11 7285·
1985 12 5183·
1986 01 5175.
1986 02 2964·
1986 03 1644.
1986 04 2549·
1986 05 7056·
1986 06 2357.
1986 07 8877·
1986 08 380.
1986 09 6759·
1986 10 8965.
1986 11 7162·
1986 12 164·
1987 01 8658.
1987 02 261.
1987 03 6969.
1987 04 5462·
1987 05 9769.
1987 06 6270.
1987 07 1678·
1987 08 2778.
1987 09 9468.
1987 10 9568.
1987 11 68100·
1987 12 7100·
1988 01 95110·
1988 02 51101·
1988 03 589.
1988 04 793·
1988 05 46111·
1988 06 5105.
1988 07 3699.
1988 08 6595·
1988 09 15108·
1988 10 57134.
1988 11 92135·
1988 12 44118.
1989 01 96117.
1989 02 34101.
1989 03 2886.
1989 04 3289·
1989 05 989.
1989 06 8692.
1989 07 2889.
1989 08 4194·
1989 09 9787.
1989 10 8796.
1989 11 9789·
1989 12 1098·
1990 01 30107·
1990 02 39108·
1990 03 68114.
1990 04 193.
1990 05 294.
1990 06 6683·
1990 07 9679·
1990 08 274·
1990 09 3289·
1990 10 2089.
1990 11 6485·
1990 12 27102·
1991 01 64103.
1991 02 7591·
1991 03 78103·
1991 04 12102·
1991 05 6897·
1991 06 32100.
1991 07 69107·
1991 08 22116·
1991 09 37112.
1991 10 16119·
1991 11 95105·
1991 12 43116.
1992 01 90105·
1992 02 7892.
1992 03 3797.
1992 04 9094·
1992 05 73100.
1992 06 93117·
1992 07 2116·
1992 08 98101.
1992 09 53107.
1992 10 61106·
1992 11 2193.
1992 12 3375·
1993 01 2566·
1993 02 987·
1993 03 5192.
1993 04 8079.
1993 05 8101·
1993 06 85118·
1993 07 74115.
1993 08 54118.
1993 09 47128·
1993 10 66127.
1993 11 96103·
1993 12 93111·
2000 01 10113.
2000 02 52111·
2000 03 49126.
2000 04 58115.
2000 05 92113.
2000 06 69128·
2000 07 89121.
2000 08 38139.
2000 09 11139·
2000 10 66111.
2000 11 99124·
2000 12 46110.
2001 01 13120·
2001 02 19168·
2001 03 84151.
2001 04 20157·
2001 05 65121·
2001 06 29104·
2001 07 77125.
2001 08 23134.
2001 09 62126.
2001 10 21143.
2001 11 34156.
2001 12 42156·
2002 01 24169·
2002 02 46159·
2002 03 36166.
2002 04 90163.
2002 05 94167·
2002 06 78141.
2002 07 91142.
2002 08 6144.
2002 09 42149.
2002 10 18177·
2002 11 30186·
2002 12 52158.
2003 01 61186·
2003 02 92158·
2003 03 10166·
2003 04 16148.
2003 05 72172·
2003 06 50158.
2003 07 12160.
2003 08 11179·
2003 09 17182.
2003 10 67183.
2003 11 43173.
2003 12 75163.
2004 01 66159.
2004 02 43154·
2004 03 34166·
2004 04 71162·
2004 05 14166.
2004 06 5170.
2004 07 43188.
2004 08 86172·
2004 09 79196.
2004 10 2188.
2004 11 51197.
2004 12 34198.
2005 01 6204·
2005 02 10216.
2005 03 64191.
2005 04 53216.
2005 05 63190·
2005 06 30168.
2005 07 14168·
2005 08 5195·
2005 09 45180.
2005 10 86184·
2005 11 58217·
2005 12 77205·
2006 01 72209·
2006 02 29213.
2006 03 77203·
2006 04 85205.
2006 05 86216.
2006 06 34205.
2006 07 79219·
2006 08 64222.
2006 09 57207·
2006 10 3227.
2006 11 94233·
2006 12 78233.
2007 01 80243.
2007 02 59242·
2007 03 79232.
2007 04 14216.
2007 05 74225·
2007 06 54222·
2007 07 17197.
2007 08 87204·
2007 09 82209·
2007 10 64229.
2007 11 13225·
2007 12 33241·
2008 01 74242·
2008 02 87247·
2008 03 99232.
2008 04 15236·
2008 05 44218.
2008 06 50241.
2008 07 33235.
2008 08 22257.
2008 09 11231.
2008 10 4242.
2008 11 94274·
2008 12 66269·
2009 01 19276.
2009 02 23252.
2009 03 91258.
2009 04 85237.
2009 05 38212.
2009 06 8257·
2009 07 55250.
2009 08 42274·
2009 09 61318·
2009 10 84314·
2009 11 43311.
2009 12 25286·
2010 01 8296.
2010 02 2278·
2010 03 35301.
2010 04 47295·
2010 05 22343.
2010 06 37328.
2010 07 39334.
2010 08 46330·
2010 09 74304·
2010 10 90294·
2010 11 87267·
2010 12 84310·
2011 01 57329·
2011 02 86365.
2011 03 34357.
2011 04 50346.
2011 05 90349.
2011 06 75363.
2011 07 64353·
2011 08 56351.
2011 09 17374·
2011 10 32334·
2011 11 81324.
2011 12 40315.
2012 01 8332·
2012 02 59317.
2012 03 19337·
2012 04 65376·
2012 05 56352.
2012 06 80391.
2012 07 33337.
2012 08 20329·
2012 09 81349.
2012 10 46306.
2012 11 5320·
2012 12 16344·
2013 01 27361.
2013 02 32344·
2013 03 42355.
2013 04 92393·
2013 05 64378.
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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
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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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