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Link to Series in Level 2 Subscription Site
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2012 04 367·1
2012 03 4167·0
2012 02 1364·2
2012 01 3565.7
2011 12 4765·5
2011 11 9062·8
2011 10 762.3
2011 09 7264·2
2011 08 3963.6
2011 07 1964·9
2011 06 8456·0
2011 05 8966.2
2011 04 2972.7
2011 03 1072.5
2011 02 5665.2
2011 01 3068·0
2010 12 9268.1
2010 11 6966·9
2010 10 6067·5
2010 09 6460.8
2010 08 2956·3
2010 07 2760·7
2010 06 6061.9
2010 05 8669·1
2010 04 6471.7
2010 03 4170.1
2010 02 4563.0
2010 01 1459.5
2009 12 5067·9
2009 11 9467·2
2009 10 2562·2
2009 09 9261·7
2009 08 6057·4
2009 07 9158.6
2009 06 4052·2
2009 05 9059.0
2009 04 9661.8
2009 03 6458·0
2009 02 5356·7
2009 01 350.0
2008 12 8254·2
2008 11 7052·8
2008 10 5153·8
2008 09 4844·1
2008 08 7049·4
2008 07 9042.4
2008 06 4745·8
2008 05 7047·1
2008 04 3453.3
2008 03 3250·5
2008 02 7939.5
2008 01 3944·0
2007 12 7541·6
2007 11 2648.0
2007 10 1044.1
2007 09 4840.9
2007 08 1847·0
2007 07 3043.9
2007 06 2841·2
2007 05 1740·8
2007 04 1448.3
2007 03 2550·1
2007 02 4642.9
2007 01 9042.3
2006 12 3844.7
2006 11 1743·4
2006 10 133.4
2006 09 3542.5
2006 08 9042·4
2006 07 3936·8
2006 06 5738.9
2006 05 4742.4
2006 04 9651·7
2006 03 4748.8
2006 02 145·9
2006 01 4644.5
2005 12 747·1
2005 11 2243·9
2005 10 4645.3
2005 09 7546·0
2005 08 9745·0
2005 07 7239·7
2005 06 3135.6
2005 05 345.4
2005 04 6748·5
2005 03 2854·1
2005 02 1846·5
2005 01 2543.2
2004 12 4346·8
2004 11 4648.2
2004 10 9546.8
2004 09 6046.6
2004 08 7437.9
2004 07 844·0
2004 06 7442.9
2004 05 5147.5
2004 04 3651.1
2004 03 2147·5
2004 02 9548·0
2004 01 6945·9
2003 12 3046·8
2003 11 1743.0
2003 10 1944.6
2003 09 747.1
2003 08 8147.6
2003 07 5148.9
2003 06 3444·4
2003 05 8440·9
2003 04 4047·0
2003 03 748·7
2003 02 5439.7
2003 01 4441·5
2002 12 8143.8
2002 11 8940·6
2002 10 1742·8
2002 09 5735.6
2002 08 535·8
2002 07 3138.1
2002 06 8438·3
2002 05 1736.0
2002 04 3847.6
2002 03 8839.0
2002 02 4536.6
2002 01 4242.1
2001 12 2937.9
2001 11 4339·7
2001 10 1135·8
2001 09 7834.0
2001 08 5534·4
2001 07 235.0
2001 06 2231.0
2001 05 9232·1
2001 04 1631·0
2001 03 9630.4
2001 02 3937·0
2001 01 8033·9
2000 12 3739.5
2000 11 8230·9
2000 10 5128.4
2000 09 6129·5
2000 08 6834.1
2000 07 4336.9
2000 06 7027·1
2000 05 7733.9
2000 04 8534·8
2000 03 8440.2
2000 02 3534.9
2000 01 033·0
1999 12 8837.5
1999 11 3637.2
1999 10 842·7
1999 09 2240·8
1999 08 338.6
1999 07 5839.2
1999 06 7838·5
1999 05 6434·6
1999 04 8038.5
1999 03 3034.4
1999 02 5636.3
1999 01 6831·4
1998 12 9539.4
1998 11 5945.6
1998 10 8240.0
1998 09 535·8
1998 08 4734·6
1998 07 7738·2
1998 06 1736·8
1998 05 6837·8
1998 04 6339.7
1998 03 4140·8
1998 02 5037·4
1998 01 7736.4
1997 12 9251.7
1997 11 3137.1
1997 10 9439·7
1997 09 7542·0
1997 08 1043.5
1997 07 5544.5
1997 06 8737.6
1997 05 3347.0
1997 04 1852·0
1997 03 4439.8
1997 02 9142·0
1997 01 4344.3
1996 12 4048·2
1996 11 5548.4
1996 10 9446.9
1996 09 2546·3
1996 08 2740.9
1996 07 6939·6
1996 06 1041·3
1996 05 2445.0
1996 04 5552.1
1996 03 9448·5
1996 02 7537.3
1996 01 742.0
1995 12 2443.7
1995 11 6150.4
1995 10 5449·8
1995 09 7144·4
1995 08 6042.3
1995 07 2647.8
1995 06 3338.1
1995 05 3347.1
1995 04 1257.0
1995 03 7147·7
1995 02 2750.2
1995 01 3843·3
1994 12 5649.6
1994 11 347.4
1994 10 7250·0
1994 09 5550·7
1994 08 9346.1
1994 07 5347.0
1994 06 3140.1
1994 05 7846.4
1994 04 4755·1
1994 03 7848·7
1994 02 9445.0
1994 01 2642.3
1993 12 7039.3
1993 11 6040.2
1993 10 7139.9
1993 09 4335·4
1993 08 3729.7
1993 07 632.8
1993 06 225·2
1993 05 9933.6
1993 04 4744·6
1993 03 4637.3
1993 02 4935·9
1993 01 8832·7
1992 12 2738·5
1992 11 3832.5
1992 10 9936·9
1992 09 2831·4
1992 08 2728·6
1992 07 6331·8
1992 06 6735.2
1992 05 6533·4
1992 04 2231·8
1992 03 2838.5
1992 02 9034·2
1992 01 6632.6
1991 12 1330.0
1991 11 6428·2
1991 10 3031.3
1991 09 2723.4
1991 08 2524.2
1991 07 2923.6
1991 06 7626.7
1991 05 6631.1
1991 04 837·5
1991 03 331.6
1991 02 4129.3
1991 01 2721·1
1990 12 3825·2
1990 11 9429·5
1990 10 6126.4
1990 09 8028·5
1990 08 1629.2
1990 07 3323·0
1990 06 223.2
1990 05 1926.1
1990 04 6530·2
1990 03 7731·9
1990 02 4925·4
1990 01 6322·8
1989 12 3822·2
1989 11 725.9
1989 10 1626·3
1989 09 5625.3
1989 08 1022·7
1989 07 3028.1
1989 06 4122·2
1989 05 6723·4
1989 04 7927.6
1989 03 7722.8
1989 02 8721·2
1989 01 9022·1
1988 12 7432·2
1988 11 620·7
1988 10 4223·9
1988 09 4526·0
1988 08 4224·4
1988 07 9827.3
1988 06 1927·2
1988 05 7626·6
1988 04 6132.0
1988 03 6028.5
1988 02 5428.8
1988 01 5128·8
1987 12 3027.7
1987 11 2224.5
1987 10 1326·4
1987 09 6524.5
1987 08 7424.2
1987 07 4325·5
1987 06 8127.7
1987 05 3729·8
1987 04 4528·6
1987 03 332.3
1987 02 7325·9
1987 01 1227·8
1986 12 1731.1
1986 11 934·0
1986 10 2629·2
1986 09 5724.7
1986 08 9226.9
1986 07 9228·5
1986 06 328.7
1986 05 6928·8
1986 04 9328·7
1986 03 1127.3
1986 02 9131.2
1986 01 6430.1
1985 12 7230·1
1985 11 4529.4
1985 10 529.1
1985 09 8929.1
1985 08 432.5
1985 07 225.6
1985 06 8123.6
1985 05 1132.8
1985 04 9039.2
1985 03 1337.5
1985 02 8231.7
1985 01 2626·8
1984 12 5432·9
1984 11 3635.8
1984 10 9728·5
1984 09 5126·7
1984 08 4824.9
1984 07 5028·5
1984 06 3826·8
1984 05 3235.0
1984 04 4632·1
1984 03 6533·5
1984 02 4426.9
1984 01 3735·9
1983 12 4936·1
1983 11 1035·4
1983 10 7634·0
1983 09 6131·3
1983 08 8335.8
1983 07 4235·6
1983 06 2429.5
1983 05 2341·1
1983 04 9738.0
1983 03 4442.9
1983 02 9938·8
1983 01 6633·7
1982 12 6840.3
1982 11 2133.9
1982 10 4032·1
1982 09 6131·0
1982 08 9529.8
1982 07 628·1
1982 06 1027.7
1982 05 029·8
1982 04 436.6
1982 03 5530.5
1982 02 9634.7
1982 01 429.4
1981 12 4626.0
1981 11 5024.1
1981 10 1223·5
1981 09 1723.4
1981 08 9524·8
1981 07 9727·1
1981 06 9525·3
1981 05 729.5
1981 04 5336.6
1981 03 2935·8
1981 02 829·2
1981 01 6827·2
1980 12 4432.8
1980 11 028·0
1980 10 3930.0
1980 09 2127·4
1980 08 1823.9
1980 07 9520·3
1980 06 120·0
1980 05 823.7
1980 04 5329·4
1980 03 1826.4
1980 02 3323.0
1980 01 020·0
1979 12 4723·6
1979 11 127·3
1979 10 9521·8
1979 09 9017·3
1979 08 2522·4
1979 07 217.8
1979 06 7819·2
1979 05 9726·5
1979 04 4030·0
1979 03 226.7
1979 02 9326·5
1979 01 6622.7
1978 12 6519.7
1978 11 722·1
1978 10 7925·0
1978 09 6527.3
1978 08 223·0
1978 07 5027·6
1978 06 9824.9
1978 05 9028·7
1978 04 7533.6
1978 03 8633.3
1978 02 3828·5
1978 01 5828·3
1977 12 3522.4
1977 11 9726.5
1977 10 1224.7
1977 09 1531.7
1977 08 5828·9
1977 07 9128.6
1977 06 5827·2
1977 05 2830.2
1977 04 4434.0
1977 03 9833·9
1977 02 3930·6
1977 01 9331·8
1976 12 1730·0
1976 11 7629.2
1976 10 4330·8
1976 09 2932.1
1976 08 3031.8
1976 07 624.9
1976 06 8323·0
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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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