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 5176·2 2012 03 1976.2 2012 02 2476.4 2012 01 6875·6 2011 12 8076·0 2011 11 8775·9 2011 10 2175.8 2011 09 4276.3 2011 08 9376.0 2011 07 7276.1 2011 06 3876·7 2011 05 3477·4 2011 04 4277.0 2011 03 5676.8 2011 02 8776·9 2011 01 8776.4 2010 12 277·0 2010 11 4676.6 2010 10 776·1 2010 09 7176·5 2010 08 7275·8 2010 07 7376.3 2010 06 6177.2 2010 05 8077.2 2010 04 8077.2 2010 03 9377.0 2010 02 3577.0 2010 01 3377·0 2009 12 7577·2 2009 11 8977.4 2009 10 4477·3 2009 09 7377·4 2009 08 3277.0 2009 07 6776.9 2009 06 2477·8 2009 05 7277.8 2009 04 5277.6 2009 03 5977.8 2009 02 4077·9 2009 01 2177.6 2008 12 6077·9 2008 11 2177.6 2008 10 7877·5 2008 09 4177.5 2008 08 777.3 2008 07 3577·1 2008 06 5278·1 2008 05 7677·8 2008 04 6778·1 2008 03 878.5 2008 02 078·4 2008 01 9478.1 2007 12 4278·0 2007 11 7177.8 2007 10 8477.1 2007 09 9177·5 2007 08 5777.2 2007 07 8077.2 2007 06 9278.0 2007 05 8478·0 2007 04 6277·7 2007 03 1978·4 2007 02 3878·7 2007 01 1978·3 2006 12 3378·2 2006 11 9278.2 2006 10 5877·7 2006 09 6478.0 2006 08 6977.5 2006 07 3377·5 2006 06 1777·7 2006 05 1477.6 2006 04 9777.8 2006 03 9778·0 2006 02 278·3 2006 01 8878·2 2005 12 6778.3 2005 11 6677·9 2005 10 2577.8 2005 09 2978·1 2005 08 5477.9 2005 07 4677·6 2005 06 2577·6 2005 05 777·5 2005 04 5877·9 2005 03 7077.8 2005 02 6578.2 2005 01 1678·2 2004 12 578.3 2004 11 9578·3 2004 10 3277·7 2004 09 7677·8 2004 08 4577·6 2004 07 077·7 2004 06 4077·8 2004 05 3077·5 2004 04 5577·7 2004 03 9478.1 2004 02 2578·0 2004 01 4778·1 2003 12 3378·5 2003 11 978·3 2003 10 5277.8 2003 09 2277·5 2003 08 577.6 2003 07 9977.9 2003 06 878·3 2003 05 7477.9 2003 04 2378.1 2003 03 4878·6 2003 02 678·6 2003 01 4678·8 2002 12 6178.9 2002 11 6278.4 2002 10 8478.2 2002 09 978.2 2002 08 1978.2 2002 07 7277·8 2002 06 478·5 2002 05 5678·6 2002 04 2478.9 2002 03 3679.2 2002 02 5579.2 2002 01 679·0 2001 12 2479·2 2001 11 3479.0 2001 10 5078·4 2001 09 478·7 2001 08 9778.6 2001 07 7478.5 2001 06 2678·7 2001 05 1978·9 2001 04 4279.0 2001 03 8679.4 2001 02 4678.8 2001 01 4479.6 2000 12 8479·6 2000 11 2979.2 2000 10 9878.6 2000 09 9978.7 2000 08 7578·8 2000 07 8378·9 2000 06 9679·7 2000 05 2879·6 2000 04 8979·9 2000 03 5580·0 2000 02 7679·5 2000 01 180·1 1999 12 2680·1 1999 11 7679.6 1999 10 279·7 1999 09 1079.5 1999 08 1380.2 1999 07 479.7
1999 06 6280.4 1999 05 7780.1 1999 04 9979·7 1999 03 1979.9 1999 02 6879·6 1999 01 4380·3 1998 12 6080·3 1998 11 3080·1 1998 10 5980.1 1998 09 8080.1 1998 08 9780.0 1998 07 6679·8 1998 06 9880·5 1998 05 8080.6 1998 04 3480·4 1998 03 8580·5 1998 02 7179·8 1998 01 6480·3 1997 12 2280.6 1997 11 6980.5 1997 10 9380.3 1997 09 7580.3 1997 08 3780.5 1997 07 2480.2 1997 06 180.6 1997 05 8280·7 1997 04 7980.6 1997 03 8280.5 1997 02 5880.2 1997 01 7980.5 1996 12 7380.7 1996 11 9980.8 1996 10 5280.5 1996 09 8680.3 1996 08 6980·5 1996 07 5780·5 1996 06 9580·9 1996 05 4780·5 1996 04 4480.2 1996 03 6380·3 1996 02 2680·4 1996 01 3180·5 1995 12 9780·7 1995 11 4880·5 1995 10 880·7 1995 09 3181.0 1995 08 5480·6 1995 07 6981·1 1995 06 2881·2 1995 05 6881.2 1995 04 6581.6 1995 03 881·2 1995 02 9980·7 1995 01 8581.1 1994 12 681·1 1994 11 7180.9 1994 10 6081.3 1994 09 5281.6 1994 08 7781·2 1994 07 8981·1 1994 06 7281.2 1994 05 6281.5 1994 04 381·2 1994 03 2180·8 1994 02 2580·7 1994 01 3581.1 1993 12 3581·1 1993 11 4680·9 1993 10 3081·0 1993 09 1581.1 1993 08 4981·1 1993 07 7381.3 1993 06 2681·9 1993 05 7181·2 1993 04 4381.1 1993 03 3281.1 1993 02 7680.9 1993 01 9780·9 1992 12 4581·0 1992 11 7981·0 1992 10 6781.2 1992 09 1281·4 1992 08 481·4 1992 07 9881.9 1992 06 1381·8 1992 05 6181·4 1992 04 9681.5 1992 03 9481.2 1992 02 5181·2 1992 01 1281·1
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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 |