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1983 01 96168·
1983 02 12166.
1983 03 60181.
1983 04 5203.
1983 05 36225·
1983 06 45274·
1983 07 26297.
1983 08 1266.
1983 09 74234.
1983 10 8220·
1983 11 23207·
1983 12 26191.
1984 01 60168.
1984 02 82174·
1984 03 66177·
1984 04 26201.
1984 05 69228.
1984 06 74263·
1984 07 92265·
1984 08 68235·
1984 09 2232.
1984 10 16206.
1984 11 63193.
1984 12 48189·
1985 01 84168·
1985 02 64176·
1985 03 68185·
1985 04 85206.
1985 05 65222.
1985 06 0247.
1985 07 20261·
1985 08 22236·
1985 09 22210.
1985 10 31209.
1985 11 56177·
1985 12 29179·
1986 01 54186·
1986 02 88168.
1986 03 40179·
1986 04 0190.
1986 05 86215.
1986 06 27250.
1986 07 59251.
1986 08 53237.
1986 09 70212·
1986 10 31209.
1986 11 26199.
1986 12 34185.
1987 01 80166·
1987 02 7178.
1987 03 79192·
1987 04 12195.
1987 05 17237·
1987 06 85253·
1987 07 81260.
1987 08 80242·
1987 09 6208.
1987 10 22211.
1987 11 20203·
1987 12 57190·
1988 01 98176.
1988 02 0186.
1988 03 9189·
1988 04 88205·
1988 05 68228.
1988 06 26245.
1988 07 86233.
1988 08 42234.
1988 09 17227.
1988 10 32227.
1988 11 13212·
1988 12 13196·
1989 01 69187.
1989 02 73190·
1989 03 78191.
1989 04 20203.
1989 05 76229.
1989 06 32243·
1989 07 94252.
1989 08 8243.
1989 09 12229·
1989 10 16221.
1989 11 0208·
1989 12 45188·
1990 01 78173.
1990 02 55173.
1990 03 58196.
1990 04 25199·
1990 05 99225·
1990 06 6252·
1990 07 56227.
1990 08 69251.
1990 09 27218.
1990 10 52217·
1990 11 7190·
1990 12 19182.
1991 01 35185·
1991 02 99190·
1991 03 48193.
1991 04 45194·
1991 05 25222·
1991 06 78250·
1991 07 43252.
1991 08 41236.
1991 09 23225·
1991 10 46206·
1991 11 80205·
1991 12 27184.
1992 01 77180·
1992 02 85181.
1992 03 71184·
1992 04 46194·
1992 05 64225.
1992 06 2260·
1992 07 54243.
1992 08 67241·
1992 09 84217·
1992 10 27203·
1992 11 93215·
1992 12 85191.
1993 01 63178.
1993 02 18170.
1993 03 75177·
1993 04 20176·
1993 05 51214·
1993 06 56229·
1993 07 12242·
1993 08 14231·
1993 09 23205·
1993 10 48194·
1993 11 44196.
1993 12 37180.
1994 01 80201.
1994 02 26213.
1994 03 32214.
1994 04 83244.
1994 05 47263.
1994 06 46268·
1994 07 65288.
1994 08 72292·
1994 09 74281·
1994 10 90272.
1994 11 56252·
1994 12 48256·
1995 01 37234.
1995 02 64228·
1995 03 42243·
1995 04 79263·
1995 05 37282·
1995 06 1297·
1995 07 86293·
1995 08 60280.
1995 09 98275·
1995 10 56275.
1995 11 76253.
1995 12 10241·
1996 01 71220·
1996 02 12226.
1996 03 26237·
1996 04 73252·
1996 05 32262.
1996 06 75274.
1996 07 73285·
1996 08 19275·
1996 09 80271·
1996 10 76254·
1996 11 79230·
1996 12 40220.
1997 01 42222.
1997 02 73219·
1997 03 34230·
1997 04 58243.
1997 05 67250·
1997 06 47269.
1997 07 49291.
1997 08 15280·
1997 09 31274.
1997 10 4250.
1997 11 62245·
1997 12 80235.
1998 01 35215.
1998 02 77225.
1998 03 37224.
1998 04 49228.
1998 05 3265.
1998 06 22268·
1998 07 61287·
1998 08 40282.
1998 09 87274·
1998 10 20252.
1998 11 48234·
1998 12 97235·
1999 01 61226·
1999 02 78239·
1999 03 35236.
1999 04 90249·
1999 05 26257·
1999 06 28282.
1999 07 85280·
1999 08 12277·
1999 09 7252·
1999 10 27257·
1999 11 85229·
1999 12 82224·
2000 01 55255·
2000 02 56248·
2000 03 50276·
2000 04 46284.
2000 05 46295·
2000 06 21305·
2000 07 16266·
2000 08 71317.
2000 09 78255.
2000 10 55213·
2000 11 47216.
2000 12 53186·
2001 01 79168.
2001 02 14143·
2001 03 30187.
2001 04 9241.
2001 05 98328.
2001 06 80308.
2001 07 78316.
2001 08 85353.
2001 09 11301·
2001 10 58287.
2001 11 30242.
2001 12 50229.
2002 01 17242·
2002 02 82240·
2002 03 48241.
2002 04 97243·
2002 05 44289·
2002 06 8285·
2002 07 20309.
2002 08 46245·
2002 09 40261·
2002 10 16256.
2002 11 59205.
2002 12 41209·
2003 01 81218·
2003 02 15231·
2003 03 3253·
2003 04 51228.
2003 05 68211·
2003 06 35221·
2003 07 14209·
2003 08 71260.
2003 09 26263.
2003 10 33280·
2003 11 81208·
2003 12 18186·
2004 01 5164.
2004 02 91166·
2004 03 17173.
2004 04 38182·
2004 05 81223.
2004 06 16235·
2004 07 59229.
2004 08 0265·
2004 09 55226.
2004 10 38203·
2004 11 70211.
2004 12 98175·
2005 01 51138.
2005 02 15157.
2005 03 38207·
2005 04 50212.
2005 05 19247·
2005 06 29247·
2005 07 77263.
2005 08 1281·
2005 09 37255.
2005 10 86261.
2005 11 23214.
2005 12 21160.
2006 01 3177.
2006 02 17174.
2006 03 40175·
2006 04 3223.
2006 05 43222.
2006 06 79269·
2006 07 16268·
2006 08 66252·
2006 09 8208.
2006 10 55209·
2006 11 63189.
2006 12 56175.
2007 01 72171.
2007 02 50185·
2007 03 20198·
2007 04 39205·
2007 05 37210·
2007 06 96214·
2007 07 50243·
2007 08 12196·
2007 09 28221.
2007 10 50196.
2007 11 39185.
2007 12 93190.
2008 01 95169.
2008 02 94169.
2008 03 2175·
2008 04 26195·
2008 05 13213.
2008 06 33223.
2008 07 76237·
2008 08 80226.
2008 09 84236·
2008 10 1242·
2008 11 24212·
2008 12 50204.
2009 01 31186.
2009 02 53152·
2009 03 34137·
2009 04 54183.
2009 05 6205.
2009 06 70232·
2009 07 18236·
2009 08 37217.
2009 09 84190.
2009 10 61201.
2009 11 15188.
2009 12 68158.
2010 01 66175.
2010 02 56188.
2010 03 88212·
2010 04 41227·
2010 05 77277.
2010 06 12291·
2010 07 24283·
2010 08 75261.
2010 09 66202.
2010 10 10226.
2010 11 36233.
2010 12 15201.
2011 01 11212·
2011 02 58205·
2011 03 63171·
2011 04 29177.
2011 05 10219·
2011 06 87256·
2011 07 66271·
2011 08 11266·
2011 09 90239·
2011 10 53218.
2011 11 35182.
2011 12 81181.
2012 01 0176·
2012 02 38206.
2012 03 81193·
2012 04 84183.
2012 05 17253.
2012 06 49272·
2012 07 43273·
2012 08 87249.
2012 09 40272·
2012 10 18241.
2012 11 84197·
2012 12 85195.
2013 01 96173.
2013 02 0182.
2013 03 92176.
2013 04 97185.
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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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