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2012 04 3018·6
2012 03 3518.0
2012 02 2919·3
2012 01 7624.4
2011 12 6523.4
2011 11 8919.9
2011 10 4021.4
2011 09 4222.5
2011 08 9814·8
2011 07 7217.8
2011 06 8325.0
2011 05 3719·2
2011 04 7916·5
2011 03 6617.7
2011 02 7114·0
2011 01 720·7
2010 12 8421.4
2010 11 7920.0
2010 10 4219·6
2010 09 2021·8
2010 08 1220.5
2010 07 4120.5
2010 06 5819·9
2010 05 7116·8
2010 04 8913·6
2010 03 915·0
2010 02 914.2
2010 01 7720.4
2009 12 6619.7
2009 11 6616·6
2009 10 619·2
2009 09 8523.1
2009 08 1818·9
2009 07 1619·6
2009 06 8820.5
2009 05 6218.8
2009 04 4521.9
2009 03 9425.0
2009 02 1723·7
2009 01 334.3
2008 12 7334.0
2008 11 5330·0
2008 10 8131·3
2008 09 2731·9
2008 08 5234·3
2008 07 7834·6
2008 06 9331·8
2008 05 7935·6
2008 04 5727·8
2008 03 7336.8
2008 02 9234·9
2008 01 2639·0
2007 12 9033·5
2007 11 7237·9
2007 10 3938.8
2007 09 6433·9
2007 08 7439·9
2007 07 2929·4
2007 06 2436.5
2007 05 1232.8
2007 04 6233.2
2007 03 2825.7
2007 02 5837·0
2007 01 1337.7
2006 12 2738.5
2006 11 7535.8
2006 10 7942.4
2006 09 3842·0
2006 08 7136.5
2006 07 035.8
2006 06 5237.7
2006 05 7934·2
2006 04 1834.7
2006 03 6235·5
2006 02 6233·1
2006 01 5738.5
2005 12 2038.5
2005 11 4133.9
2005 10 2440.1
2005 09 1438.6
2005 08 5235·7
2005 07 4529.8
2005 06 7538·5
2005 05 2236.4
2005 04 1328.2
2005 03 425.4
2005 02 7830·2
2005 01 7334.1
2004 12 3038·2
2004 11 7632.8
2004 10 2232.6
2004 09 8633.1
2004 08 5338.0
2004 07 4338·5
2004 06 1832.9
2004 05 732·2
2004 04 5630·1
2004 03 926·7
2004 02 423.0
2004 01 337.7
2003 12 4232·2
2003 11 928.6
2003 10 4534·4
2003 09 7033·8
2003 08 3436·2
2003 07 9733.9
2003 06 2734·1
2003 05 2532.9
2003 04 8428·2
2003 03 5729.6
2003 02 6329.0
2003 01 1536·1
2002 12 6731.5
2002 11 9336·1
2002 10 9234.6
2002 09 731.2
2002 08 8231·5
2002 07 3936·4
2002 06 7636.4
2002 05 9533·7
2002 04 5629.6
2002 03 5031·6
2002 02 330·8
2002 01 036·7
2001 12 3933·8
2001 11 943.1
2001 10 8639.0
2001 09 6448.0
2001 08 744·1
2001 07 2139·0
2001 06 6342.9
2001 05 5844.8
2001 04 5940.7
2001 03 2041·2
2001 02 9640·5
2001 01 7447·1
2000 12 2143.8
2000 11 6044·2
2000 10 7543·6
2000 09 3452·4
2000 08 4445·4
2000 07 2448.0
2000 06 1050.3
2000 05 8047·0
2000 04 239·7
2000 03 1941·3
2000 02 4235·9
2000 01 8152.1
1999 12 9743·7
1999 11 7645.8
1999 10 3146.0
1999 09 3243·6
1999 08 5344·6
1999 07 5141.2
1999 06 6736.9
1999 05 5341·6
1999 04 2238·8
1999 03 2737.0
1999 02 6235.0
1999 01 8643·8
1998 12 7841·9
1998 11 1037.1
1998 10 5443·9
1998 09 247·2
1998 08 2137·7
1998 07 3244.4
1998 06 642·3
1998 05 9446·1
1998 04 7835·1
1998 03 4933·2
1998 02 535·1
1998 01 8145·4
1997 12 9937.8
1997 11 4343·5
1997 10 6638·9
1997 09 940·8
1997 08 5838·8
1997 07 2140.7
1997 06 2537·5
1997 05 4536.1
1997 04 5730·8
1997 03 1424·9
1997 02 4531·3
1997 01 8442·1
1996 12 2139·3
1996 11 7937·7
1996 10 1538.0
1996 09 4535·7
1996 08 035.7
1996 07 9829.5
1996 06 4734.3
1996 05 7233·8
1996 04 6928.5
1996 03 7629.7
1996 02 7934·3
1996 01 3538.7
1995 12 3034.5
1995 11 4741.0
1995 10 7430·4
1995 09 2838·7
1995 08 628.7
1995 07 6632·6
1995 06 2038.6
1995 05 6934.4
1995 04 5028·2
1995 03 1525·7
1995 02 2923·4
1995 01 239.5
1994 12 3531.8
1994 11 034.9
1994 10 4133·9
1994 09 9835.9
1994 08 6431·8
1994 07 5531.5
1994 06 1733.8
1994 05 5026.2
1994 04 6027·7
1994 03 3424·0
1994 02 4527·0
1994 01 7736·2
1993 12 7430·6
1993 11 2034·8
1993 10 3931.0
1993 09 2332·7
1993 08 8231.5
1993 07 1929·1
1993 06 3630·4
1993 05 5829.2
1993 04 8429.8
1993 03 6324·6
1993 02 027.2
1993 01 7632.5
1992 12 528.5
1992 11 929·5
1992 10 1733·7
1992 09 9529.4
1992 08 9729.6
1992 07 3828·7
1992 06 130.0
1992 05 6026·3
1992 04 3326.2
1992 03 5729.1
1992 02 9023.5
1992 01 4132.0
1991 12 1531.7
1991 11 9737·3
1991 10 4736·2
1991 09 3037.5
1991 08 6936·5
1991 07 1635·2
1991 06 5935.3
1991 05 4836.1
1991 04 4333·2
1991 03 9429·9
1991 02 4031.4
1991 01 3939.7
1990 12 1542·5
1990 11 3942.3
1990 10 2741·8
1990 09 7141.3
1990 08 8342.4
1990 07 8242·3
1990 06 8445.3
1990 05 3936·3
1990 04 7540·8
1990 03 7936·2
1990 02 9836.4
1990 01 6140.4
1989 12 3944·7
1989 11 1345.3
1989 10 8143.9
1989 09 8342.3
1989 08 5244·3
1989 07 9042.5
1989 06 7346·0
1989 05 7339·7
1989 04 1333.9
1989 03 4235.9
1989 02 3539·5
1989 01 2542.3
1988 12 4938·9
1988 11 2443.1
1988 10 5744.1
1988 09 5941.2
1988 08 939.8
1988 07 2037.2
1988 06 4942.7
1988 05 1835·0
1988 04 6932.7
1988 03 3532.2
1988 02 5236.2
1988 01 7336·3
1987 12 2941·0
1987 11 242·1
1987 10 2640·8
1987 09 1641.7
1987 08 1538·9
1987 07 7638.5
1987 06 6137·1
1987 05 6734.7
1987 04 7733.3
1987 03 4030.0
1987 02 6933·6
1987 01 7037.2
1986 12 9134.1
1986 11 034.8
1986 10 8938·6
1986 09 9536·7
1986 08 5632.6
1986 07 8834·6
1986 06 8233.5
1986 05 3533·5
1986 04 9932.8
1986 03 6030.3
1986 02 3732.1
1986 01 935.9
1985 12 7035·0
1985 11 9838.8
1985 10 6738.6
1985 09 6335·9
1985 08 4336·3
1985 07 934·5
1985 06 938·1
1985 05 6431·8
1985 04 2031.6
1985 03 2427.3
1985 02 2728·3
1985 01 738·4
1984 12 2638·5
1984 11 135.9
1984 10 838·8
1984 09 1235.7
1984 08 1135.9
1984 07 1936.8
1984 06 6637·1
1984 05 2227.3
1984 04 5126·2
1984 03 8724·4
1984 02 3829·4
1984 01 633·0
1983 12 4525·8
1983 11 3629·4
1983 10 8729.7
1983 09 5928.4
1983 08 2028.0
1983 07 2327·0
1983 06 023·9
1983 05 9921.2
1983 04 2621·1
1983 03 2817.9
1983 02 9221.7
1983 01 7124·2
1982 12 3823.5
1982 11 6027·7
1982 10 031·1
1982 09 4530·7
1982 08 5729·8
1982 07 4929.3
1982 06 8631.7
1982 05 1327·6
1982 04 726.2
1982 03 5226·4
1982 02 3829.3
1982 01 9637.1
1981 12 4037·8
1981 11 5038.7
1981 10 7140.7
1981 09 3737·9
1981 08 3134.2
1981 07 5135·5
1981 06 2039·0
1981 05 634.8
1981 04 8030·2
1981 03 8727·8
1981 02 5028·2
1981 01 9732.6
1980 12 1231·4
1980 11 1234·9
1980 10 4730.4
1980 09 2831.5
1980 08 7929.2
1980 07 1033.6
1980 06 2636·7
1980 05 4536·4
1980 04 5435.2
1980 03 8732.5
1980 02 2333·8
1980 01 1543·8
1979 12 3937.9
1979 11 7545.6
1979 10 344.5
1979 09 3441.2
1979 08 6046.6
1979 07 3043.2
1979 06 5242·4
1979 05 2036.3
1979 04 6638·0
1979 03 3333·8
1979 02 8332·2
1979 01 1843.4
1978 12 3238.3
1978 11 9240·8
1978 10 3545.1
1978 09 9637.0
1978 08 6039·9
1978 07 3943.3
1978 06 7140.6
1978 05 5039.6
1978 04 7534.4
1978 03 2933.7
1978 02 7733.1
1978 01 9737.1
1977 12 2735.9
1977 11 4434.5
1977 10 6833·9
1977 09 8233.7
1977 08 9135·6
1977 07 9236.9
1977 06 8037.8
1977 05 7530·0
1977 04 6832.3
1977 03 328·0
1977 02 7830·8
1977 01 6933·4
1976 12 8331·5
1976 11 3534·3
1976 10 4834.2
1976 09 8335.1
1976 08 8732·0
1976 07 6835.7
1976 06 432.2
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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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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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