Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
1972 01 7325.6
1972 02 3726.8
1972 03 1524.4
1972 04 3921·8
1972 05 6720.8
1972 06 6126·5
1972 07 8125·1
1972 08 2120·3
1972 09 5322.9
1972 10 721.9
1972 11 7422·6
1972 12 2720·1
1973 01 8020.3
1973 02 5921·3
1973 03 520·1
1973 04 120.9
1973 05 2520.1
1973 06 2327.2
1973 07 1324·5
1973 08 1218·8
1973 09 8722·8
1973 10 3019.2
1973 11 6020·3
1973 12 5418·2
1974 01 9221·8
1974 02 3722.7
1974 03 3522.8
1974 04 4720.3
1974 05 9020.2
1974 06 2528.2
1974 07 5126·4
1974 08 3321·7
1974 09 5725·6
1974 10 223.7
1974 11 4425.3
1974 12 8325.9
1975 01 9330.6
1975 02 9929.6
1975 03 7931·4
1975 04 9129.6
1975 05 2429.0
1975 06 7333·7
1975 07 4329·3
1975 08 7629·8
1975 09 9931.8
1975 10 428·5
1975 11 4928·6
1975 12 8126.8
1976 01 9529·2
1976 02 128·5
1976 03 3427.9
1976 04 7727·0
1976 05 1126·2
1976 06 9433·3
1976 07 6228·3
1976 08 5728.0
1976 09 7329·8
1976 10 4028·1
1976 11 2128·4
1976 12 4027·1
1977 01 3230.2
1977 02 2130.1
1977 03 2429.8
1977 04 7026·4
1977 05 6228.3
1977 06 4433·9
1977 07 731·4
1977 08 1830·8
1977 09 6531.6
1977 10 3929·3
1977 11 3529·8
1977 12 7627·0
1978 01 6529·8
1978 02 6528.5
1978 03 9528.3
1978 04 6427·2
1978 05 1326·4
1978 06 132.1
1978 07 129.8
1978 08 2624.4
1978 09 8527.7
1978 10 5624.9
1978 11 8926.9
1978 12 3125.6
1979 01 8025.1
1979 02 6027.2
1979 03 2325·8
1979 04 7324·4
1979 05 2524·7
1979 06 7130·3
1979 07 9026·5
1979 08 7224.6
1979 09 6926·0
1979 10 6926.0
1979 11 525.2
1979 12 7224·8
1980 01 8828·3
1980 02 6228.3
1980 03 326.1
1980 04 4225.0
1980 05 8226.5
1980 06 8232.5
1980 07 5030.7
1980 08 7526·6
1980 09 7729.1
1980 10 8429·7
1980 11 3129·3
1980 12 9129·1
1981 01 2329·1
1981 02 5029·3
1981 03 6130.3
1981 04 3528·4
1981 05 9627·2
1981 06 8835·3
1981 07 7631·5
1981 08 7430.9
1981 09 9532·2
1981 10 2833.3
1981 11 4132.6
1981 12 533·7
1982 01 4734.0
1982 02 2834.9
1982 03 4335·6
1982 04 4533·7
1982 05 234.7
1982 06 6940·1
1982 07 9435.9
1982 08 3834·0
1982 09 3436·7
1982 10 5838.2
1982 11 3336·8
1982 12 5536·5
1983 01 4537·0
1983 02 2636·2
1983 03 2236.1
1983 04 8836.7
1983 05 6037.2
1983 06 3040.6
1983 07 5035·7
1983 08 5836·9
1983 09 2936.8
1983 10 5137.0
1983 11 2934·8
1983 12 834.7
1984 01 2833·6
1984 02 9732.9
1984 03 9732·7
1984 04 732·3
1984 05 5629.9
1984 06 9931.6
1984 07 1832.1
1984 08 5030·8
1984 09 4032·0
1984 10 1329·7
1984 11 7828·0
1984 12 5628.1
1985 01 3028·9
1985 02 2131.5
1985 03 9129.3
1985 04 6929.2
1985 05 129.9
1985 06 3031·5
1985 07 9530·2
1985 08 5726.6
1985 09 5429.8
1985 10 7230.9
1985 11 5329.8
1985 12 1627·7
1986 01 1328.5
1986 02 329.4
1986 03 5230·9
1986 04 6429·3
1986 05 3027·5
1986 06 431.9
1986 07 529·6
1986 08 4628.1
1986 09 8030.5
1986 10 8329·0
1986 11 5125.7
1986 12 3026·0
1987 01 6328·4
1987 02 7128.4
1987 03 5229·1
1987 04 1127.7
1987 05 427.5
1987 06 2429.9
1987 07 9725.2
1987 08 722·3
1987 09 5424.3
1987 10 2524·2
1987 11 9724.0
1987 12 6422·7
1988 01 8924.1
1988 02 8025·4
1988 03 9126·6
1988 04 5025·3
1988 05 827·0
1988 06 2027·6
1988 07 4225.3
1988 08 5921·6
1988 09 3822·3
1988 10 321.4
1988 11 3720.1
1988 12 1019.8
1989 01 2722·4
1989 02 923.7
1989 03 9021.7
1989 04 4820.8
1989 05 5323.0
1989 06 4628.4
1989 07 3922·8
1989 08 4220.5
1989 09 1524·2
1989 10 4522.9
1989 11 4523·5
1989 12 8521.4
1990 01 3921·3
1990 02 6321.0
1990 03 9821.8
1990 04 9822·4
1990 05 7422·7
1990 06 8125.4
1990 07 1124.4
1990 08 2323·8
1990 09 9725·1
1990 10 623.5
1990 11 2025.3
1990 12 3125.1
1991 01 825.2
1991 02 7025·4
1991 03 8925·7
1991 04 1524·7
1991 05 3227.0
1991 06 3029.1
1991 07 625.8
1991 08 9522.9
1991 09 2025·9
1991 10 6627.8
1991 11 8326.1
1991 12 1526.8
1992 01 4727.4
1992 02 8627·6
1992 03 5925·9
1992 04 4326.2
1992 05 1331·8
1992 06 2134.3
1992 07 9730.4
1992 08 7426.8
1992 09 4429·7
1992 10 2828·8
1992 11 8427.9
1992 12 2828.5
1993 01 9028.6
1993 02 8929.2
1993 03 3329·7
1993 04 4729·0
1993 05 2730.1
1993 06 1032.3
1993 07 8227·0
1993 08 223·6
1993 09 5424.4
1993 10 2223·6
1993 11 9426·5
1993 12 8722.2
1994 01 9827·3
1994 02 8325.0
1994 03 5725.3
1994 04 2024.0
1994 05 927.4
1994 06 7528.7
1994 07 8424·9
1994 08 4624·3
1994 09 6122.0
1994 10 324.0
1994 11 1321·3
1994 12 3419.9
1995 01 5721.0
1995 02 9923·0
1995 03 622.1
1995 04 7821·8
1995 05 2024.4
1995 06 2027·9
1995 07 5227·7
1995 08 9726.7
1995 09 127·2
1995 10 4822.4
1995 11 6319·9
1995 12 3620·3
1996 01 7624.1
1996 02 9023.1
1996 03 7724·0
1996 04 6321·6
1996 05 4621.8
1996 06 7626.4
1996 07 5825·4
1996 08 7324.2
1996 09 3424.6
1996 10 6424.8
1996 11 9224.0
1996 12 8422.5
1997 01 9324.6
1997 02 3524·9
1997 03 9424.9
1997 04 4222.0
1997 05 9725.0
1997 06 9627·7
1997 07 022·6
1997 08 1420.2
1997 09 4621·7
1997 10 7921·2
1997 11 7422·3
1997 12 9620.9
1998 01 6621.9
1998 02 4023·6
1998 03 321.3
1998 04 618·4
1998 05 821·6
1998 06 6021·8
1998 07 124·8
1998 08 8821.5
1998 09 4721·0
1998 10 4717·6
1998 11 618·4
1998 12 1316.0
1999 01 8318·9
1999 02 3221.0
1999 03 7920·3
1999 04 7317.3
1999 05 4117·0
1999 06 7219·7
1999 07 1021·9
1999 08 8818·5
1999 09 7319·6
1999 10 4820.3
1999 11 1118·4
1999 12 216.2
2000 01 5318.1
2000 02 6719.1
2000 03 2019.4
2000 04 8416.0
2000 05 8120.2
2000 06 6121.3
2000 07 020·1
2000 08 2819.1
2000 09 8417.2
2000 10 8616·4
2000 11 3814.8
2000 12 5415·8
2001 01 1118·0
2001 02 2418.6
2001 03 4819·4
2001 04 620.1
2001 05 3818·7
2001 06 8122·7
2001 07 6719.8
2001 08 5222·0
2001 09 6620·4
2001 10 9020·9
2001 11 5922.7
2001 12 8721.3
2002 01 1922·4
2002 02 722·9
2002 03 1125·7
2002 04 3121.9
2002 05 4820.3
2002 06 1324.6
2002 07 3722·4
2002 08 2623.2
2002 09 2921.3
2002 10 1521.2
2002 11 7322·7
2002 12 4321.0
2003 01 6221·1
2003 02 4521·8
2003 03 8422.9
2003 04 7522.7
2003 05 7224.3
2003 06 5928·6
2003 07 5626·6
2003 08 4225.4
2003 09 1023.7
2003 10 3924·8
2003 11 321.2
2003 12 8819.3
2004 01 5023.3
2004 02 9321.7
2004 03 6223·5
2004 04 8119·1
2004 05 9423.0
2004 06 5025.5
2004 07 9726.6
2004 08 1621.9
2004 09 6719·5
2004 10 6822.2
2004 11 9620·1
2004 12 1318·3
2005 01 2022.5
2005 02 2923·8
2005 03 7122.6
2005 04 1521.6
2005 05 2724·5
2005 06 3926.2
2005 07 6023·2
2005 08 9124.2
2005 09 8821·4
2005 10 3119·2
2005 11 2623·1
2005 12 3618·5
2006 01 3120·8
2006 02 5922.2
2006 03 5721.0
2006 04 6919.2
2006 05 418.3
2006 06 721.6
2006 07 6624.7
2006 08 3419.1
2006 09 8319·8
2006 10 8120.1
2006 11 9018.9
2006 12 9916·1
2007 01 6918.4
2007 02 1217.7
2007 03 9418.1
2007 04 6018·7
2007 05 8717·5
2007 06 5722·9
2007 07 6420.5
2007 08 3518·9
2007 09 8718·9
2007 10 9819.2
2007 11 1318·3
2007 12 6821·8
2008 01 4521.7
2008 02 4120.9
2008 03 7920·4
2008 04 3016.4
2008 05 6121·8
2008 06 1824.1
2008 07 2624.8
2008 08 1222·6
2008 09 6022.9
2008 10 8622.2
2008 11 4120·4
2008 12 3621.5
2009 01 9424·3
2009 02 2726.8
2009 03 3725·3
2009 04 4426.9
2009 05 3629·2
2009 06 4631.0
2009 07 5231.2
2009 08 727.3
2009 09 8930·4
2009 10 7530.5
2009 11 4831.7
2009 12 1830.8
2010 01 7632·5
2010 02 7228.8
2010 03 1430·7
2010 04 9630.6
2010 05 4927.0
2010 06 1831.1
2010 07 6333.4
2010 08 8630·8
2010 09 8332.0
2010 10 2029.7
2010 11 3228.3
2010 12 5727.0
2011 01 7830·0
2011 02 827·3
2011 03 8526·5
2011 04 227·8
2011 05 6029.5
2011 06 4031·4
2011 07 931·0
2011 08 4232.4
2011 09 7929.5
2011 10 9825.7
2011 11 1628·0
2011 12 1928.3
2012 01 1026.3
2012 02 8826·0
2012 03 4626.3
2012 04 423.3
2012 05 5525·8
2012 06 4130·2
2012 07 6128·6
2012 08 9128·5
2012 09 3725.1
2012 10 1527.6
2012 11 4925·4
2012 12 9727·4
2013 01 828.0
2013 02 9129·7
2013 03 2226·7
2013 04 6924·9
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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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