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 04 824.8 2012 03 754.9 2012 02 604·9 2012 01 155·0 2011 12 415·0 2011 11 435.0 2011 10 264·9 2011 09 265·0 2011 08 605.0 2011 07 34·9 2011 06 864·9 2011 05 305.0 2011 04 904·9 2011 03 364·8 2011 02 544·9 2011 01 704·9 2010 12 64·9 2010 11 514·8 2010 10 674.8 2010 09 164.8 2010 08 74.9 2010 07 774.8 2010 06 895·0 2010 05 625·1 2010 04 215·0 2010 03 725·1 2010 02 75.1 2010 01 275.0 2009 12 965·0 2009 11 185.1 2009 10 345·1 2009 09 555.1 2009 08 95.1 2009 07 205·2 2009 06 85.1 2009 05 155.1 2009 04 605.5 2009 03 125·5 2009 02 925·4 2009 01 25·3 2008 12 745.2 2008 11 485·2 2008 10 735.3 2008 09 345.3 2008 08 25·6 2008 07 125·3 2008 06 665.3 2008 05 565·2 2008 04 185·2 2008 03 95.1 2008 02 75·2 2008 01 365.2
2007 12 245·2 2007 11 725·2 2007 10 595.2 2007 09 705·2 2007 08 455.2 2007 07 565·2 2007 06 115.2 2007 05 765.3 2007 04 315·4 2007 03 445·3 2007 02 755·3 2007 01 985.3 2006 12 575.4 2006 11 425.3 2006 10 895·2 2006 09 55·3 2006 08 255.2 2006 07 825.2 2006 06 165·1 2006 05 925.3 2006 04 585·1 2006 03 215·2 2006 02 445·2 2006 01 775·3 2005 12 95·3 2005 11 395·3 2005 10 865·3 2005 09 65.3 2005 08 515·3 2005 07 455·3 2005 06 795·5 2005 05 465·2 2005 04 875·3 2005 03 685.4 2005 02 875.4 2005 01 925.3 2004 12 405.5 2004 11 675.4 2004 10 985·6 2004 09 645.4 2004 08 615.5 2004 07 235·4 2004 06 245.3 2004 05 55·3 2004 04 265.3 2004 03 415·3 2004 02 35.2 2004 01 845.3 2003 12 355·1 2003 11 555·3 2003 10 985.3 2003 09 965·2 2003 08 135.5 2003 07 205.3 2003 06 975·4 2003 05 605·4 2003 04 125.3 2003 03 195.3 2003 02 145.4 2003 01 205.3 2002 12 55·4 2002 11 575·3 2002 10 855·2 2002 09 455·3 2002 08 955.3 2002 07 675.3 2002 06 745·4 2002 05 295·3 2002 04 55.5 2002 03 55.4 2002 02 685·4 2002 01 915·3 2001 12 875.2 2001 11 535.2 2001 10 815.2 2001 09 765.3 2001 08 155·4 2001 07 175.5 2001 06 505.5 2001 05 535·5 2001 04 915·4 2001 03 305·5 2001 02 395.5 2001 01 155·3 2000 12 395.5 2000 11 475.4 2000 10 345·4 2000 09 835.5 2000 08 105·5 2000 07 505·6 2000 06 505·4 2000 05 995·6 2000 04 805.7 2000 03 475.6 2000 02 245.6 2000 01 335·8 1999 12 485·8 1999 11 685·9 1999 10 185.8 1999 09 805·7 1999 08 415·8 1999 07 705·7 1999 06 215·7 1999 05 585·8 1999 04 85.8 1999 03 366.0 1999 02 466·0 1999 01 126.1 1998 12 256·0 1998 11 706·1 1998 10 306·1 1998 09 116·1 1998 08 936.0 1998 07 65.8 1998 06 376.0 1998 05 496·0 1998 04 366·1 1998 03 06·1 1998 02 546.0 1998 01 446.1 1997 12 56.1 1997 11 346.1 1997 10 946.0 1997 09 426.1 1997 08 756.1 1997 07 136.2 1997 06 966·4 1997 05 116·2 1997 04 486·2 1997 03 706·1 1997 02 216·1 1997 01 466·1 1996 12 486.3 1996 11 626·5 1996 10 586·3 1996 09 656.2 1996 08 256·2 1996 07 706·1 1996 06 206·1 1996 05 136·1 1996 04 566.0 1996 03 06.3 1996 02 446.2 1996 01 596.0 1995 12 406·0 1995 11 856·0 1995 10 946.1 1995 09 976·2 1995 08 36·3 1995 07 816.3 1995 06 576·3 1995 05 466·2 1995 04 956.2 1995 03 696.1 1995 02 476·1 1995 01 506.0 1994 12 925.9 1994 11 575·9 1994 10 15·9 1994 09 796·2 1994 08 935·9 1994 07 755·9 1994 06 825.8 1994 05 265.8 1994 04 256.0 1994 03 815.9 1994 02 785.7 1994 01 115.8
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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 |