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Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 543.4
2012 03 2047·6
2012 02 9951.3
2012 01 3858.5
2011 12 5752.9
2011 11 7955·8
2011 10 2947·4
2011 09 6243·5
2011 08 1241·8
2011 07 7428.8
2011 06 9827·8
2011 05 2245.7
2011 04 2250.1
2011 03 8646·8
2011 02 1750.0
2011 01 6353·6
2010 12 6157.2
2010 11 2252.9
2010 10 2648·1
2010 09 5340.2
2010 08 3030·6
2010 07 1425·1
2010 06 8727·5
2010 05 8645·7
2010 04 5552·9
2010 03 1954.8
2010 02 8857.8
2010 01 8358.1
2009 12 8655·5
2009 11 1849·9
2009 10 4253.8
2009 09 8635.3
2009 08 9730·1
2009 07 1824·9
2009 06 8722·6
2009 05 6538·5
2009 04 9143·9
2009 03 5044·5
2009 02 8548.0
2009 01 1554·4
2008 12 9141.5
2008 11 7234·1
2008 10 2533·9
2008 09 5334·3
2008 08 4819.0
2008 07 6411·8
2008 06 1913.5
2008 05 2620.4
2008 04 3929.3
2008 03 3334.2
2008 02 536.2
2008 01 036·4
2007 12 6231.9
2007 11 1131.1
2007 10 4734.7
2007 09 7228.2
2007 08 4419.7
2007 07 5611·2
2007 06 3213.2
2007 05 5935·2
2007 04 3536·1
2007 03 4732.3
2007 02 7340·2
2007 01 630·7
2006 12 1029.7
2006 11 9232·8
2006 10 731·7
2006 09 8226·8
2006 08 7019·3
2006 07 2316·0
2006 06 9913·4
2006 05 8225·9
2006 04 4027·8
2006 03 9626.4
2006 02 3529.4
2006 01 2430.5
2005 12 7030.5
2005 11 9325·1
2005 10 2928.0
2005 09 5325·0
2005 08 3718·9
2005 07 2117.1
2005 06 1816.8
2005 05 3724·5
2005 04 3935.1
2005 03 1140.3
2005 02 6531·9
2005 01 7139.4
2004 12 431.1
2004 11 1937.1
2004 10 5938·2
2004 09 7427·7
2004 08 8015·6
2004 07 2812.5
2004 06 1114·9
2004 05 9130.1
2004 04 4433.9
2004 03 4435.7
2004 02 6134·4
2004 01 8946·2
2003 12 9538·4
2003 11 9833·4
2003 10 7137.6
2003 09 6432.8
2003 08 6019·3
2003 07 4814.1
2003 06 2816·4
2003 05 3429.1
2003 04 8832·5
2003 03 7537.6
2003 02 4637.0
2003 01 4437·3
2002 12 5639·7
2002 11 8631·4
2002 10 6330.8
2002 09 6320·2
2002 08 6215·4
2002 07 129.3
2002 06 4114.1
2002 05 8525·3
2002 04 3427.0
2002 03 927·6
2002 02 6939·2
2002 01 2936·9
2001 12 2040.7
2001 11 6127·0
2001 10 5831.1
2001 09 3926.8
2001 08 9813·9
2001 07 7213.0
2001 06 4813·1
2001 05 8517.6
2001 04 6625.4
2001 03 7527·4
2001 02 127·4
2001 01 6029·3
2000 12 5022.1
2000 11 2716·2
2000 10 523.7
2000 09 8415.6
2000 08 216·0
2000 07 912·7
2000 06 739·0
2000 05 112.5
2000 04 9516.7
2000 03 2815·5
2000 02 4219.9
2000 01 7918·0
1999 12 3114·7
1999 11 1521·2
1999 10 7632·9
1999 09 1426.4
1999 08 3518.7
1999 07 279.5
1999 06 6211·3
1999 05 2425·0
1999 04 5720.7
1999 03 4522·8
1999 02 1426.2
1999 01 5324.5
1998 12 7327·1
1998 11 7723·5
1998 10 6922·3
1998 09 7118.5
1998 08 8221·5
1998 07 5417·3
1998 06 909.6
1998 05 7117·9
1998 04 1225.9
1998 03 3325·0
1998 02 6524.1
1998 01 7323.9
1997 12 1128·9
1997 11 9522.0
1997 10 727·6
1997 09 2124.9
1997 08 5516.9
1997 07 4613.7
1997 06 5418·4
1997 05 8426.4
1997 04 4534.7
1997 03 2033.4
1997 02 6829.4
1997 01 5736.0
1996 12 626.5
1996 11 7131·0
1996 10 3831.7
1996 09 5828·7
1996 08 8920.7
1996 07 8211.4
1996 06 7711.6
1996 05 3123.5
1996 04 6823·8
1996 03 6026·3
1996 02 2230·6
1996 01 4636.5
1995 12 4541·0
1995 11 3529.5
1995 10 3627·5
1995 09 9630.3
1995 08 4419.4
1995 07 6612·9
1995 06 816·4
1995 05 234.7
1995 04 1638.5
1995 03 3240.3
1995 02 4932·1
1995 01 636·1
1994 12 3635.9
1994 11 4237.0
1994 10 9941.6
1994 09 7934.0
1994 08 517.6
1994 07 2716.0
1994 06 1913.7
1994 05 1425.9
1994 04 4928·5
1994 03 4241·1
1994 02 9834.3
1994 01 3136·5
1993 12 1719·9
1993 11 7115.9
1993 10 4917.5
1993 09 7316·1
1993 08 847.7
1993 07 197·8
1993 06 98.3
1993 05 1018.8
1993 04 5317.9
1993 03 1823.8
1993 02 4122.8
1993 01 3619·3
1992 12 4622.5
1992 11 2522·6
1992 10 3422.5
1992 09 7017.3
1992 08 169.9
1992 07 228.0
1992 06 09·5
1992 05 5617·7
1992 04 3816·8
1992 03 1518.6
1992 02 7721.9
1992 01 6321·4
1991 12 1118·0
1991 11 3515·3
1991 10 2817.6
1991 09 8613·1
1991 08 629.7
1991 07 404·8
1991 06 417.1
1991 05 4413·6
1991 04 408.8
1991 03 1113·7
1991 02 2915.1
1991 01 8022·4
1990 12 2114.5
1990 11 5515·3
1990 10 2911.2
1990 09 649.6
1990 08 66.0
1990 07 32·0
1990 06 55.0
1990 05 908·6
1990 04 2012.2
1990 03 1213·7
1990 02 449.1
1990 01 7714.3
1989 12 1311·8
1989 11 6416.7
1989 10 5916.9
1989 09 708·8
1989 08 603·9
1989 07 642·9
1989 06 894.6
1989 05 3710·8
1989 04 6312.4
1989 03 4611.3
1989 02 9514.7
1989 01 7214·4
1988 12 4615.0
1988 11 6515·7
1988 10 6721.7
1988 09 9610.9
1988 08 593·4
1988 07 45·5
1988 06 175.5
1988 05 5112.0
1988 04 7915·4
1988 03 6814·2
1988 02 8211.2
1988 01 717.4
1987 12 621·9
1987 11 9014.5
1987 10 2616·9
1987 09 5913·1
1987 08 648·2
1987 07 265.3
1987 06 367.6
1987 05 2415·9
1987 04 514.8
1987 03 5715·3
1987 02 2617.7
1987 01 4821.5
1986 12 314.8
1986 11 9118·5
1986 10 3317·9
1986 09 013.6
1986 08 608.1
1986 07 597·9
1986 06 216·4
1986 05 7313·0
1986 04 017.4
1986 03 1817·4
1986 02 7624·8
1986 01 8718.4
1985 12 7422.4
1985 11 4817.4
1985 10 1321.2
1985 09 8713.8
1985 08 577·6
1985 07 585.9
1985 06 687.7
1985 05 4015.5
1985 04 5115.8
1985 03 7920.1
1985 02 514·7
1985 01 4223.3
1984 12 7919·7
1984 11 6623·8
1984 10 1225·8
1984 09 1120·5
1984 08 9210.4
1984 07 38.4
1984 06 29·3
1984 05 9120.4
1984 04 6724.3
1984 03 9526.4
1984 02 1126.9
1984 01 5225.8
1983 12 323.9
1983 11 7423·3
1983 10 419·9
1983 09 8815·6
1983 08 2511·6
1983 07 9713·3
1983 06 6911·0
1983 05 1928.9
1983 04 8524.8
1983 03 4530.2
1983 02 1734.3
1983 01 8735·5
1982 12 5731·3
1982 11 2531·1
1982 10 8830·6
1982 09 6221·2
1982 08 4111.1
1982 07 6910·1
1982 06 439.1
1982 05 3920·6
1982 04 6416.2
1982 03 3422.8
1982 02 7123.0
1982 01 3629·2
1981 12 7624.7
1981 11 022·8
1981 10 8521·2
1981 09 9815.5
1981 08 5113.1
1981 07 759.6
1981 06 228.6
1981 05 9416·6
1981 04 9124.9
1981 03 9025·2
1981 02 4621.5
1981 01 1822.5
1980 12 2121.0
1980 11 317.2
1980 10 4421·1
1980 09 8914.6
1980 08 917.0
1980 07 936·3
1980 06 306.0
1980 05 5115.9
1980 04 7620·3
1980 03 6917.3
1980 02 4016.5
1980 01 7418·6
1979 12 7816·8
1979 11 6214·5
1979 10 3914.0
1979 09 5111·5
1979 08 206.3
1979 07 285·7
1979 06 145.1
1979 05 214·3
1979 04 5517·7
1979 03 5018·0
1979 02 7719.9
1979 01 7018·0
1978 12 5718·1
1978 11 3316.2
1978 10 6718.0
1978 09 2610.5
1978 08 267.0
1978 07 97·3
1978 06 468.6
1978 05 6215.0
1978 04 8818.3
1978 03 3620.2
1978 02 324.0
1978 01 9924·4
1977 12 9323·3
1977 11 9420.9
1977 10 5121.0
1977 09 8014.1
1977 08 1710·1
1977 07 908.4
1977 06 269.5
1977 05 7520·8
1977 04 6022·8
1977 03 5722·3
1977 02 9321·8
1977 01 7727.3
1976 12 4723·6
1976 11 5021.3
1976 10 3920·7
1976 09 620.2
1976 08 3010·7
1976 07 518.6
1976 06 7710·3
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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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