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2012 04 5647·9
2012 03 3748.2
2012 02 948.8
2012 01 6044.0
2011 12 549·3
2011 11 6152·0
2011 10 4651·2
2011 09 941·5
2011 08 7846·7
2011 07 4041·3
2011 06 4139·2
2011 05 1351.3
2011 04 2355·0
2011 03 5550.9
2011 02 652·1
2011 01 1648.0
2010 12 1754·4
2010 11 1450.1
2010 10 7951.6
2010 09 8744·6
2010 08 6039.8
2010 07 4645·6
2010 06 2342.7
2010 05 2149·7
2010 04 7754.1
2010 03 1047.8
2010 02 2548.3
2010 01 3644·6
2009 12 1853·4
2009 11 8752·1
2009 10 9946.3
2009 09 7651.3
2009 08 5941.1
2009 07 8445·1
2009 06 8344.9
2009 05 1241.9
2009 04 143.6
2009 03 3238.8
2009 02 3936·0
2009 01 3634·6
2008 12 6844.2
2008 11 8739.1
2008 10 5534·0
2008 09 6834·0
2008 08 1228·8
2008 07 3225·8
2008 06 4521·1
2008 05 5320·2
2008 04 624·2
2008 03 7426.1
2008 02 4522·9
2008 01 5922.9
2007 12 5324.7
2007 11 4328·7
2007 10 1928.0
2007 09 8028.2
2007 08 7726·8
2007 07 9626·0
2007 06 5618·6
2007 05 3626.8
2007 04 2929·9
2007 03 1623.8
2007 02 6728·6
2007 01 7121·8
2006 12 8427·5
2006 11 826·9
2006 10 9029.5
2006 09 5326·9
2006 08 4228.5
2006 07 423.4
2006 06 9013.5
2006 05 7823·0
2006 04 2935·2
2006 03 6223.1
2006 02 5227.4
2006 01 6319.9
2005 12 9528.0
2005 11 6222.6
2005 10 9122.2
2005 09 5424.5
2005 08 1618.4
2005 07 1125·5
2005 06 4420.1
2005 05 2028.1
2005 04 9233·7
2005 03 4131.6
2005 02 7439·4
2005 01 5431.4
2004 12 4929·2
2004 11 931.9
2004 10 6933·0
2004 09 7633·4
2004 08 3626.1
2004 07 9626.6
2004 06 4226·8
2004 05 2921.8
2004 04 2925·2
2004 03 834.3
2004 02 3131·5
2004 01 8431.0
2003 12 2940.6
2003 11 7831·4
2003 10 9830.2
2003 09 3424.2
2003 08 6125·7
2003 07 6332.8
2003 06 3224.4
2003 05 9828·8
2003 04 7535.5
2003 03 4329·5
2003 02 4631.5
2003 01 2030.4
2002 12 4728.5
2002 11 2528.0
2002 10 7624·8
2002 09 7022·0
2002 08 7730·6
2002 07 4125·4
2002 06 8719·3
2002 05 4226·2
2002 04 9129·9
2002 03 4824·1
2002 02 6627·8
2002 01 5521.7
2001 12 3830.3
2001 11 2822·7
2001 10 2620.9
2001 09 5318·2
2001 08 9516.9
2001 07 8618.9
2001 06 515.8
2001 05 413·9
2001 04 6121.0
2001 03 5524.5
2001 02 6519·5
2001 01 416.8
2000 12 6317.9
2000 11 9114.0
2000 10 9613.4
2000 09 7219.2
2000 08 5015·9
2000 07 7617·5
2000 06 816.0
2000 05 5121.4
2000 04 9819·2
2000 03 1621.3
2000 02 4211·1
2000 01 1018·2
1999 12 713.0
1999 11 4418·7
1999 10 5816.7
1999 09 4519·3
1999 08 316·9
1999 07 1515·9
1999 06 4616.1
1999 05 7325·5
1999 04 3619.8
1999 03 1219·2
1999 02 1818·6
1999 01 4014·2
1998 12 8126.7
1998 11 4027·6
1998 10 1219·4
1998 09 1420.0
1998 08 4020·0
1998 07 3320.6
1998 06 9113·9
1998 05 8915.6
1998 04 3625.0
1998 03 4617.7
1998 02 4219.1
1998 01 8522.6
1997 12 2122.2
1997 11 6119·6
1997 10 7924.4
1997 09 4625.5
1997 08 7017·0
1997 07 8420.5
1997 06 4024·0
1997 05 4029.5
1997 04 8330.8
1997 03 4823.1
1997 02 8826.4
1997 01 6224·9
1996 12 8730·3
1996 11 828.8
1996 10 926.5
1996 09 3223.4
1996 08 3020.7
1996 07 4716.6
1996 06 1820·3
1996 05 9221·4
1996 04 8937.5
1996 03 7233.4
1996 02 5230.6
1996 01 1322·6
1995 12 6426.4
1995 11 1323.8
1995 10 7425·4
1995 09 8921·0
1995 08 8023.2
1995 07 2823.4
1995 06 7220.0
1995 05 3823.1
1995 04 8824.1
1995 03 9724·9
1995 02 5926·3
1995 01 525·4
1994 12 6327·9
1994 11 2929.5
1994 10 7232.2
1994 09 5930.1
1994 08 521·8
1994 07 5422.9
1994 06 7521.3
1994 05 9428·7
1994 04 4134.5
1994 03 2933.1
1994 02 5632.7
1994 01 2924.9
1993 12 1920·1
1993 11 3521.5
1993 10 2619.5
1993 09 916.3
1993 08 1715.3
1993 07 8014.3
1993 06 2619.6
1993 05 216.5
1993 04 3318·0
1993 03 9521.5
1993 02 1619·9
1993 01 321.8
1992 12 9428.2
1992 11 3722·0
1992 10 8524·9
1992 09 3019.8
1992 08 5020·4
1992 07 8622.8
1992 06 4616·0
1992 05 2919·8
1992 04 7623·2
1992 03 5120.4
1992 02 3716·3
1992 01 6717·9
1991 12 7320·1
1991 11 6220.3
1991 10 2117.8
1991 09 4015.0
1991 08 6512.6
1991 07 7613.0
1991 06 8514.2
1991 05 6612.7
1991 04 521.5
1991 03 7518·4
1991 02 4313·5
1991 01 9010·2
1990 12 6512.9
1990 11 6611·2
1990 10 3211·0
1990 09 8010.1
1990 08 498·3
1990 07 7914.4
1990 06 1611.4
1990 05 3112.9
1990 04 7914.2
1990 03 7212·6
1990 02 8113.5
1990 01 627·4
1989 12 813·0
1989 11 2711·8
1989 10 4210·7
1989 09 1711.4
1989 08 108·0
1989 07 5012·6
1989 06 3510·8
1989 05 6514·6
1989 04 8618.0
1989 03 7217·1
1989 02 2514·1
1989 01 013.7
1988 12 6115·9
1988 11 5118·0
1988 10 9816·7
1988 09 4215.6
1988 08 8518·0
1988 07 6717·5
1988 06 6811·4
1988 05 3514·1
1988 04 3517·4
1988 03 2815·7
1988 02 7214.5
1988 01 4713·6
1987 12 1015·7
1987 11 6516.0
1987 10 7413·4
1987 09 7414.9
1987 08 3513.9
1987 07 3512.5
1987 06 6115·6
1987 05 3316·5
1987 04 6220·9
1987 03 2023.9
1987 02 4618·8
1987 01 6920·1
1986 12 6525.2
1986 11 2617.5
1986 10 6718·0
1986 09 5221·1
1986 08 4516.9
1986 07 8418.0
1986 06 8716.4
1986 05 7516.5
1986 04 2718.9
1986 03 5223·1
1986 02 9419·7
1986 01 5817·4
1985 12 6224·0
1985 11 1115.1
1985 10 115.1
1985 09 4516·5
1985 08 2515·9
1985 07 6717.6
1985 06 4516.3
1985 05 420.6
1985 04 1624·6
1985 03 5322.2
1985 02 9019.9
1985 01 3117·0
1984 12 6223·7
1984 11 2521·0
1984 10 2321.4
1984 09 4417.1
1984 08 1119.5
1984 07 6522.2
1984 06 5823.2
1984 05 8728·8
1984 04 4030·2
1984 03 7826·5
1984 02 3127.0
1984 01 2927·0
1983 12 4925·0
1983 11 9825.2
1983 10 726·1
1983 09 6521·6
1983 08 6422·0
1983 07 8025.6
1983 06 7324·6
1983 05 1430·0
1983 04 3435.0
1983 03 630.6
1983 02 4226.6
1983 01 1929·0
1982 12 3632·6
1982 11 8428·2
1982 10 5126.6
1982 09 5123.5
1982 08 6924.9
1982 07 4324.1
1982 06 6421·3
1982 05 326·5
1982 04 5927.7
1982 03 4226.1
1982 02 6923.8
1982 01 9421.9
1981 12 5618·7
1981 11 6118.9
1981 10 7821.5
1981 09 6817·6
1981 08 3616.5
1981 07 816.1
1981 06 2919·6
1981 05 9521·3
1981 04 024.8
1981 03 1422·2
1981 02 8623.8
1981 01 6920.2
1980 12 7223·5
1980 11 3519·9
1980 10 3618.4
1980 09 817.2
1980 08 214·4
1980 07 5415·7
1980 06 9112.5
1980 05 5817.4
1980 04 6720·9
1980 03 7719·0
1980 02 9118·0
1980 01 8718·4
1979 12 6719·9
1979 11 3515.1
1979 10 9717.0
1979 09 8914·7
1979 08 2712·5
1979 07 8511.9
1979 06 9813·7
1979 05 8319·0
1979 04 9723·4
1979 03 1021.0
1979 02 618.2
1979 01 1418.0
1978 12 5317·7
1978 11 1516.0
1978 10 6016.0
1978 09 5115·2
1978 08 9614.9
1978 07 3216·6
1978 06 2313·7
1978 05 8718.8
1978 04 5024.5
1978 03 1718.8
1978 02 8119·7
1978 01 4320·2
1977 12 6622·1
1977 11 5422·3
1977 10 4920·5
1977 09 6118·0
1977 08 1921·0
1977 07 4721.0
1977 06 6316.4
1977 05 1227·1
1977 04 1129.4
1977 03 2921.1
1977 02 8820·7
1977 01 8919.7
1976 12 6523.8
1976 11 5619·6
1976 10 1018.4
1976 09 1217·2
1976 08 3420.3
1976 07 1022·3
1976 06 4324.8
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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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