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2012 04 7427.5
2012 03 9527.6
2012 02 4123.4
2012 01 8227.9
2011 12 1527.8
2011 11 3629·4
2011 10 4723.3
2011 09 7628.2
2011 08 3429.1
2011 07 8836·4
2011 06 6749·6
2011 05 8132.3
2011 04 8223·8
2011 03 3325·6
2011 02 1218·4
2011 01 4225.4
2010 12 3523.6
2010 11 7724·9
2010 10 2325.9
2010 09 2729·4
2010 08 9322·6
2010 07 5129·9
2010 06 6043·0
2010 05 3032.3
2010 04 8123.8
2010 03 1425.7
2010 02 1218.5
2010 01 7228.7
2009 12 5021.9
2009 11 4523.1
2009 10 9225.4
2009 09 9527·7
2009 08 7621·5
2009 07 5232·9
2009 06 3848·1
2009 05 6930.7
2009 04 5826.2
2009 03 6731.7
2009 02 1227.5
2009 01 8829·6
2008 12 2232·9
2008 11 4635·7
2008 10 337·4
2008 09 7240·7
2008 08 1839.4
2008 07 7042.3
2008 06 2354·1
2008 05 6460.4
2008 04 2241.5
2008 03 4734.5
2008 02 1132·1
2008 01 3341.6
2007 12 3441.5
2007 11 843.2
2007 10 2940·5
2007 09 7544.4
2007 08 8047·6
2007 07 950.0
2007 06 6562·9
2007 05 749.5
2007 04 937.2
2007 03 3335·3
2007 02 3240·4
2007 01 7451.0
2006 12 9845.8
2006 11 8640.3
2006 10 6847.2
2006 09 4548·5
2006 08 4740·4
2006 07 9938.7
2006 06 3565.4
2006 05 1553.6
2006 04 8044.2
2006 03 3036·8
2006 02 2341·4
2006 01 243·8
2005 12 4943.3
2005 11 5940·1
2005 10 4243·6
2005 09 5141.8
2005 08 2937·4
2005 07 9442·2
2005 06 3360·3
2005 05 3051·2
2005 04 2141·2
2005 03 6636·3
2005 02 5634·6
2005 01 3441·0
2004 12 4840·4
2004 11 3236·8
2004 10 142.7
2004 09 8246·7
2004 08 6342.3
2004 07 7346.1
2004 06 8059·6
2004 05 1847·0
2004 04 4143.5
2004 03 9741.4
2004 02 3138·4
2004 01 1141.4
2003 12 8138.5
2003 11 3444.2
2003 10 1739.0
2003 09 5649.6
2003 08 941·6
2003 07 4141.2
2003 06 2556.9
2003 05 7241.6
2003 04 7640·0
2003 03 140·9
2003 02 7040·8
2003 01 249·9
2002 12 5739.4
2002 11 1947·5
2002 10 8840·7
2002 09 1543.2
2002 08 5345·0
2002 07 2751.1
2002 06 4260·8
2002 05 746·0
2002 04 8840·6
2002 03 8238.8
2002 02 2139.6
2002 01 9641·6
2001 12 1346.4
2001 11 6643·6
2001 10 3646·8
2001 09 2650·0
2001 08 447·3
2001 07 8548·1
2001 06 2766.4
2001 05 6753.9
2001 04 6147·0
2001 03 7036·9
2001 02 5647.2
2001 01 1256.8
2000 12 951·6
2000 11 7953.8
2000 10 1150.2
2000 09 8158·4
2000 08 9947·9
2000 07 9450·1
2000 06 563.0
2000 05 1757·5
2000 04 654.3
2000 03 2049.3
2000 02 7646·4
2000 01 9151.5
1999 12 3152·2
1999 11 8953.1
1999 10 8648·8
1999 09 9556·3
1999 08 9845·8
1999 07 5955.0
1999 06 2367.3
1999 05 5048·3
1999 04 5951.5
1999 03 1047·5
1999 02 146.7
1999 01 9951.5
1998 12 8947·5
1998 11 4942·0
1998 10 5750·4
1998 09 1254·0
1998 08 8747·0
1998 07 949·0
1998 06 5462.8
1998 05 8258·6
1998 04 8044·7
1998 03 4543·0
1998 02 8142.0
1998 01 2952.0
1997 12 1843·0
1997 11 3942·8
1997 10 4947.2
1997 09 9749.5
1997 08 7637.3
1997 07 9847.0
1997 06 9762.8
1997 05 5545·5
1997 04 5543·9
1997 03 5339.3
1997 02 8841.4
1997 01 9847.1
1996 12 7942·9
1996 11 6247.2
1996 10 942·5
1996 09 4347·0
1996 08 137.1
1996 07 642·8
1996 06 7458.5
1996 05 3645.7
1996 04 9438·5
1996 03 9146.7
1996 02 2042·1
1996 01 4645.6
1995 12 5944·1
1995 11 4947·6
1995 10 1039.2
1995 09 6747·3
1995 08 2140.8
1995 07 3738.1
1995 06 3362·6
1995 05 1743·2
1995 04 3245·3
1995 03 3640.2
1995 02 141.3
1995 01 4243·4
1994 12 6637.5
1994 11 5343.5
1994 10 5140·7
1994 09 950.3
1994 08 2428.3
1994 07 2044.0
1994 06 4859·0
1994 05 1446·2
1994 04 3142·3
1994 03 9337·3
1994 02 7834.4
1994 01 7648·8
1993 12 3845·9
1993 11 5446·1
1993 10 5551.1
1993 09 3856.9
1993 08 1945·3
1993 07 953·9
1993 06 1668.8
1993 05 7055·1
1993 04 7649·2
1993 03 9145.6
1993 02 2547·4
1993 01 6656·1
1992 12 3445.2
1992 11 5648.7
1992 10 6950.4
1992 09 4458.4
1992 08 4249.7
1992 07 8552·4
1992 06 6170·1
1992 05 5049·9
1992 04 7746.3
1992 03 8543·3
1992 02 3941·1
1992 01 5351.1
1991 12 3946·5
1991 11 8847·0
1991 10 6646.8
1991 09 4654·8
1991 08 5453.5
1991 07 5054.7
1991 06 3068.8
1991 05 4858·3
1991 04 7152·7
1991 03 5452·6
1991 02 4447.8
1991 01 453.8
1990 12 6654·3
1990 11 559·1
1990 10 4554.5
1990 09 8369.2
1990 08 3954.6
1990 07 3564.3
1990 06 9780·4
1990 05 7962·0
1990 04 1658·3
1990 03 258·7
1990 02 8856.7
1990 01 1154·5
1989 12 4856·9
1989 11 8656.7
1989 10 2962·4
1989 09 2468.3
1989 08 953.1
1989 07 9457.3
1989 06 6076·3
1989 05 8665·1
1989 04 066.1
1989 03 5857.7
1989 02 4355.3
1989 01 9165.6
1988 12 4761·3
1988 11 3555·8
1988 10 6658·0
1988 09 6065·6
1988 08 9957·3
1988 07 659.0
1988 06 4175.8
1988 05 3560·0
1988 04 3351.5
1988 03 7751.6
1988 02 849.1
1988 01 8652·5
1987 12 4852·4
1987 11 8257·7
1987 10 2857.9
1987 09 768.6
1987 08 7050·8
1987 07 7554·1
1987 06 9071.5
1987 05 1861·3
1987 04 4950.4
1987 03 3952·3
1987 02 644.7
1987 01 6253.9
1986 12 6147·3
1986 11 8050·8
1986 10 1451.5
1986 09 856·0
1986 08 750.9
1986 07 3055·3
1986 06 7870·0
1986 05 5158·8
1986 04 1148.1
1986 03 4649.4
1986 02 8452.0
1986 01 1153.2
1985 12 2352.3
1985 11 1051.3
1985 10 4751.0
1985 09 3059.9
1985 08 2046.4
1985 07 2755.3
1985 06 471.9
1985 05 7853.6
1985 04 248.9
1985 03 3050.9
1985 02 1750.6
1985 01 4951.4
1984 12 9447.9
1984 11 7557.0
1984 10 7548·0
1984 09 6350·7
1984 08 4643.0
1984 07 4448·9
1984 06 9069.0
1984 05 6444.6
1984 04 3543.3
1984 03 4344.4
1984 02 144·5
1984 01 2046.4
1983 12 5944.5
1983 11 441·6
1983 10 7147·0
1983 09 2648.1
1983 08 4539·0
1983 07 8544·9
1983 06 8662.4
1983 05 144.7
1983 04 4343.3
1983 03 6636·1
1983 02 6133.3
1983 01 8935.6
1982 12 2940.5
1982 11 5342·0
1982 10 3242·8
1982 09 6042·9
1982 08 234.5
1982 07 8043·7
1982 06 6458·6
1982 05 646·6
1982 04 8946·2
1982 03 243.7
1982 02 4342.8
1982 01 4945·1
1981 12 3949.1
1981 11 050·0
1981 10 8348·6
1981 09 3150.2
1981 08 2840·0
1981 07 8349·9
1981 06 2266.2
1981 05 2146.9
1981 04 5743.1
1981 03 8141.2
1981 02 2245.1
1981 01 1550.4
1980 12 5046·3
1980 11 5050·6
1980 10 7148.1
1980 09 3155.6
1980 08 5945.5
1980 07 7347·7
1980 06 8369.0
1980 05 1352.7
1980 04 5849.4
1980 03 5744·2
1980 02 9548.0
1980 01 3154.0
1979 12 4855·4
1979 11 3258.1
1979 10 6957·6
1979 09 7863.5
1979 08 5455.0
1979 07 5555.8
1979 06 9574.1
1979 05 7357.3
1979 04 2849·5
1979 03 951.0
1979 02 8445.9
1979 01 6249·8
1978 12 4347.4
1978 11 057.5
1978 10 7655.6
1978 09 1265.3
1978 08 149.7
1978 07 5954·4
1978 06 3173.8
1978 05 1954·3
1978 04 2649.6
1978 03 4247·3
1978 02 4048·3
1978 01 052.0
1977 12 7046·4
1977 11 3351·8
1977 10 1348·2
1977 09 161·8
1977 08 845.5
1977 07 3749·2
1977 06 9066.4
1977 05 9149.5
1977 04 4051·7
1977 03 8646·8
1977 02 3342.2
1977 01 6351·2
1976 12 9153·0
1976 11 3646·9
1976 10 3049·0
1976 09 3754.3
1976 08 1242·5
1976 07 7049·0
1976 06 9462.5
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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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