Link to Series in Level 1 Subscription Site Link to Series in Level 2 Subscription Site Link to Series in Level 0 Subscription Site 2012 04 700.0 2012 03 200.0 2012 02 930.0 2012 01 676.9 2011 12 430·0 2011 06 2711·5 2011 05 238·9 2011 04 678.3 2011 03 7712·8 2011 02 262.5 2011 01 4712.2 2010 12 600·0 2010 11 204.6 2010 10 986.0 2010 09 798·4 2010 08 890·6 2010 07 503·4 2010 06 520·0 2010 05 561·2 2010 04 2422.6 2010 03 6611·0 2010 02 176.1 2010 01 420·3 2009 12 590.4 2009 11 933.3 2009 10 510·0 2009 09 243·6 2009 08 135.2
2009 07 831.0 2009 06 363.7 2009 05 154·0 2009 04 308.4 2009 03 105.1 2009 02 7821.2 2009 01 539.5 2008 12 801·4 2008 11 751.5 2008 10 88.6 2008 05 14·3 2008 03 5523·8 2008 02 310·1 2008 01 840·4 2007 11 474.5 2007 07 761.6 2007 06 443.6 2007 04 868·2 2007 03 31·7 2007 02 878.7 2006 06 756·1 2006 04 2311.1 2006 03 88·0 2006 02 576.8 2005 12 953.3 2005 06 240.6 2005 04 259·6 2005 03 800.4 2005 01 302·5 2004 10 482·6 2004 08 408.5 2004 07 747.8 2004 05 303·2 2004 04 753·0 2004 03 6824.8 2004 02 855·7 2004 01 703.5 2003 12 122·5 2003 11 465·4 2003 10 827·5 2003 06 5213.1 2003 05 9110·7 2003 04 387.2 2003 03 589·4 2003 02 06·1 2003 01 693.6 2002 11 303·6 2002 10 3222.5 2002 09 648.7 2002 05 264·3 2002 04 3610.2 2002 03 507.6 2002 02 218·8 2002 01 714·5 2001 05 939.7 2001 04 795·7 2001 03 7017.0 2001 02 343.0 2000 11 651.8 2000 04 1410·0 2000 03 370·9 2000 02 710.5 1999 12 404.3 1999 07 756·2 1999 06 726·0 1999 04 6611·6 1999 03 3012.2 1999 02 57·2 1998 12 525·9 1998 04 248.3 1998 03 739·1 1998 02 7413.7 1998 01 754·3 1997 12 770·0 1997 11 320.0 1997 10 750.0 1997 09 670.0 1997 08 810·0 1997 07 960.0 1997 06 280·1 1997 05 800·4 1997 04 183·7 1997 03 767.7 1997 02 775.7 1997 01 873.3 1996 08 964.2 1996 06 112.9 1996 05 9111.2 1996 04 916·0 1996 03 456·4 1996 02 640.1 1996 01 642.9 1995 12 150.0 1995 11 220.0 1995 10 230.0 1995 09 150·0 1995 08 110.1 1995 07 90.1 1995 06 990·3 1995 05 892·6 1995 04 534·7 1995 03 122.6 1995 02 333·6 1995 01 552.2 1994 12 433·1 1994 11 640.0 1994 10 850·1 1994 09 60·1 1994 08 51.5 1994 04 202·9 1994 03 459.3 1994 02 631·6 1993 12 913·6 1993 11 621·4 1993 10 252.3 1993 09 688.4 1993 06 753.9 1993 05 9820·9 1993 04 6315.8 1993 03 916·3 1993 02 5713·0 1992 11 584.6 1992 09 2124·4 1992 08 278·1 1992 07 640·8 1992 06 992·4 1992 05 8819·4 1992 04 9532.9 1992 03 4517.9 1992 02 42.9 1992 01 777.9 1991 12 381·1 1991 11 763·9 1991 10 786.7 1991 09 260.1 1991 08 254·3 1991 07 5712.3 1991 06 532·9 1991 05 9711·8 1991 04 528·4 1991 03 1413·4 1991 02 864.6 1991 01 780·0 1990 12 377·2 1990 11 980.9 1990 10 581.9 1990 09 825·9 1990 05 243·3 1990 04 8218.7 1990 03 7720.1 1990 02 4710.6 1990 01 822.3 1989 12 690·2 1989 11 730.5 1989 10 362·5 1989 09 53.9 1989 01 830·6 1988 01 41.2 1986 01 387.8 1985 12 140·5 1985 10 759.6 1985 03 5114.9 1985 02 635·9 1985 01 511.1 1984 12 191·3 1984 02 208.6 1984 01 522·2 1983 08 868·3 1983 05 178.4 1983 04 4416·2 1983 03 6615.7 1983 02 1211·1 1983 01 945.0 1982 12 790.5 1982 11 935.5 1982 10 517·0 1982 09 015·1 1982 08 62·8 1982 07 475·2 1982 06 4411·4 1982 04 1116·6 1982 03 3310.2 1982 02 656·3 1982 01 624.4 1981 12 270.1 1981 11 901·3 1981 10 108.4 1981 04 9818.2 1981 03 738.1 1981 02 3510.2 1981 01 703.3 1980 12 721.2 1980 11 00·2 1980 10 4911·8 1980 09 589.8 1980 08 285·9 1980 07 837·6 1980 06 406.1 1980 05 1112·5 1980 04 3511.2 1980 03 2310.2 1980 02 377.9 1980 01 938.1 1979 12 874.1 1979 08 441·0 1979 06 991.4 1979 04 9210.0 1979 03 45.8 1979 02 992·9 1979 01 61.7 1978 12 204·3 1978 02 2915·1 1978 01 603.3 1977 03 663.6 1977 02 1611·2 1977 01 312·9 1976 12 300·9 1976 11 97·3 1976 07 423.8 1976 06 53·8
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Civilian Labor Force
(subcategories) These basic measures are augmented by:
Population
These series can be subdivided by:
Sex:
Race and Ethnicity:
White
Age:
16 years and over (default)
Class Of Worker:
Wage_And_Salary_Workers
Industry:
Agriculture_Service
Occupation:
Managerial_&_professional_specialty_occupation
Input your search text below.Similar Series
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:
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)
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
Black
Hispanic
Mexican
Puerto Rican
Cuban
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
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers
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
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
or alter the examples after this blank template.
Example 1: Get Unemployment Rates for people in Computer jobs
| Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
| Example 3: Get Population Level Data for Workers |