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 04 045.2 2012 03 1746.3 2012 02 3246.6 2012 01 2345·6 2011 12 9246.7 2011 11 4247·0 2011 10 8047.4 2011 09 4246·5 2011 08 4446·8 2011 07 6047.0 2011 06 2445.2 2011 05 5445.2 2011 04 645.5 2011 03 5146.2 2011 02 7445.6 2011 01 245.1 2010 12 5545.9 2010 11 2346.6 2010 10 7046.7 2010 09 5646.4 2010 08 8946.2 2010 07 846·9 2010 06 7545.4 2010 05 945·8 2010 04 3646·2 2010 03 6146·5 2010 02 7546.7 2010 01 8245.7 2009 12 4445·5 2009 11 6446.2 2009 10 8547·0 2009 09 1846.9 2009 08 9047·2 2009 07 2448·0 2009 06 4246·2 2009 05 8645·9 2009 04 7345·7 2009 03 7446·4 2009 02 947.1 2009 01 8046·3 2008 12 2046.4 2008 11 6847.1 2008 10 7348.2 2008 09 2046.7 2008 08 8047.3 2008 07 8947.3 2008 06 4845.6 2008 05 5045·4 2008 04 3045.6 2008 03 4546·5 2008 02 7246.8 2008 01 3846.2 2007 12 6846.4 2007 11 6546·7 2007 10 747·1 2007 09 8046·2 2007 08 2246·3 2007 07 747·6 2007 06 4244.8 2007 05 9345·7 2007 04 4146·0 2007 03 5347·3 2007 02 8948·0 2007 01 2346.9 2006 12 047.0 2006 11 946·5 2006 10 8546.6 2006 09 3845.8 2006 08 046·3 2006 07 747·2 2006 06 9546.0 2006 05 3345.7 2006 04 6745·7 2006 03 346.3 2006 02 646·9 2006 01 2645·9 2005 12 5045.5 2005 11 8045·7 2005 10 3145·5 2005 09 6245·3 2005 08 2545.9 2005 07 4347·6 2005 06 745.4 2005 05 1045.2 2005 04 9344.7 2005 03 2445.2 2005 02 9845·4 2005 01 6444.6 2004 12 7945.2 2004 11 8145.3 2004 10 9145·3 2004 09 4445·3 2004 08 3345.5 2004 07 9445.9 2004 06 044·7 2004 05 9244·6 2004 04 3144.4 2004 03 7145·2 2004 02 6245.2 2004 01 8044·3 2003 12 7344·5 2003 11 4245.4 2003 10 4045·9 2003 09 044.6 2003 08 8445.4 2003 07 6545.5 2003 06 2244.8 2003 05 7144·7 2003 04 1644.8 2003 03 2145.1 2003 02 2144.8 2003 01 3943.8 2002 12 4244·2 2002 11 1844·6 2002 10 7544.9 2002 09 7244.6 2002 08 6444·5 2002 07 8544.6 2002 06 4744.1 2002 05 6444·1 2002 04 744.5 2002 03 8144.1 2002 02 2444.9 2002 01 3443.6 2001 12 2244.3 2001 11 8744.2 2001 10 2044·8 2001 09 2744.0 2001 08 8344·1 2001 07 944·6 2001 06 7242.9 2001 05 1143·1 2001 04 9143·5 2001 03 7944.1 2001 02 4344·9 2001 01 8143.3 2000 12 7343.2 2000 11 5443·8 2000 10 2244·3 2000 09 5644.1 2000 08 7744·2 2000 07 1544·4 2000 06 2042.9 2000 05 8042.3 2000 04 7942.5 2000 03 7043.3 2000 02 7744·3 2000 01 2343.0 1999 12 8042.7 1999 11 4943·4 1999 10 5443.1
1999 09 7742·4 1999 08 643·0 1999 07 942.9 1999 06 4042.3 1999 05 6341·9 1999 04 642·2 1999 03 3242·6 1999 02 4843·6 1999 01 2542·7 1998 12 5543·2 1998 11 2542·7 1998 10 1542·8 1998 09 3242·7 1998 08 5642.4 1998 07 1843.2 1998 06 442·6 1998 05 7742·6 1998 04 3242·8 1998 03 7042·8 1998 02 443.2 1998 01 8042.0 1997 12 3442.4 1997 11 6142.3 1997 10 2742·8 1997 09 8642.6 1997 08 3742.6 1997 07 9943.0 1997 06 1141·9 1997 05 6341.9 1997 04 4241·8 1997 03 1442.2 1997 02 1941·7 1997 01 541.4 1996 12 7541·5 1996 11 6341.7 1996 10 3941.7 1996 09 3241.3 1996 08 8541.7 1996 07 2941·8 1996 06 8440·5 1996 05 8840.9 1996 04 4940·5 1996 03 1740.6 1996 02 9140.6 1996 01 4240.2 1995 12 6640.1 1995 11 5940·5 1995 10 2440·9 1995 09 8740.4 1995 08 6139·6 1995 07 1340.1 1995 06 7039·0 1995 05 4439.3 1995 04 8639.7 1995 03 5939.6 1995 02 4240.2 1995 01 5640.1 1994 12 1640.3 1994 11 440·6 1994 10 7940.8 1994 09 9340.3 1994 08 5039·8 1994 07 8140.4 1994 06 4339·3 1994 05 4839·3 1994 04 1539·5 1994 03 4539·4 1994 02 2139·9 1994 01 4139.8 1993 12 6140.3 1993 11 7840.4 1993 10 2840.8 1993 09 1640·3 1993 08 6340.6 1993 07 8640·8 1993 06 040.0 1993 05 4139.9 1993 04 2139.8 1993 03 339·9 1993 02 140.2 1993 01 1239.9 1992 12 6240.3 1992 11 8340·7 1992 10 1940·8 1992 09 4741.1 1992 08 3441·4 1992 07 942·3 1992 06 6641·6 1992 05 9141·5 1992 04 1541·1 1992 03 8741·0 1992 02 8041·2 1992 01 1241.5
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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 |