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 04 959·2 2012 03 8259.0 2012 02 3059·0 2012 01 5559·6 2011 12 8459.8 2011 11 4760·3 2011 10 7460.5 2011 09 2660·5 2011 08 4460.1 2011 07 2960.5 2011 06 3860·5 2011 05 1460·3 2011 04 4060·4 2011 03 1060.2 2011 02 3460·3 2011 01 6460.2 2010 12 4760·5 2010 11 9661·1 2010 10 161·3 2010 09 4561.8 2010 08 6461.9 2010 07 2061·6 2010 06 161.8 2010 05 5161·8 2010 04 1962·4 2010 03 3762.1 2010 02 2261·9 2010 01 061·4 2009 12 6061·3 2009 11 3061·9 2009 10 7862.0 2009 09 3862.1 2009 08 6461·8 2009 07 562·3 2009 06 562.8 2009 05 3362·6 2009 04 3162.6 2009 03 9462.1 2009 02 6862·0 2009 01 7962.5 2008 12 8662.3 2008 11 5362.5 2008 10 5362·8 2008 09 9662·5 2008 08 8062.7 2008 07 6463·3 2008 06 7462.6 2008 05 2862.4 2008 04 8762.5 2008 03 3362.5 2008 02 6862.6 2008 01 4362.7 2007 12 962.6 2007 11 9362·6 2007 10 9962.7 2007 09 3763.0 2007 08 7162.9 2007 07 063·2 2007 06 5462.9 2007 05 2762·4 2007 04 2362·9 2007 03 3562·9 2007 02 4762.9 2007 01 5962·7 2006 12 4062·8 2006 11 563·1 2006 10 1463·3 2006 09 163·2 2006 08 2463.4 2006 07 4363.9 2006 06 2063·5 2006 05 4863·2 2006 04 9963·4 2006 03 362·9 2006 02 5162·6 2006 01 1862·4 2005 12 1562·9 2005 11 6963.2 2005 10 2263·7 2005 09 5663.7 2005 08 4963.5 2005 07 4763.9 2005 06 6963.3 2005 05 3163·2 2005 04 063·2 2005 03 6862.6 2005 02 5562.9 2005 01 3762·4 2004 12 9463.2 2004 11 8963.0 2004 10 6963·4 2004 09 9363·1 2004 08 8163.2 2004 07 9263.9 2004 06 2463·3 2004 05 4462·9 2004 04 3762.7 2004 03 8363.1 2004 02 5663.3 2004 01 5863·2 2003 12 6263·6 2003 11 9363.7 2003 10 3063·6 2003 09 3063.5 2003 08 8263.6 2003 07 8164·0 2003 06 3364.0 2003 05 7964·0 2003 04 4664.1 2003 03 2763·8 2003 02 7863.6 2003 01 4863·6 2002 12 3163.7 2002 11 3763·4 2002 10 264.1 2002 09 864·1 2002 08 3664.1 2002 07 4564·8 2002 06 7064·4 2002 05 5264·5 2002 04 8764·5 2002 03 564·0 2002 02 6864·5 2002 01 9963·7 2001 12 3563·8 2001 11 063.7 2001 10 964.1 2001 09 9463·9 2001 08 5564·0 2001 07 3764.6 2001 06 3264.5 2001 05 564·4 2001 04 4664·5 2001 03 4664·5 2001 02 9964·5 2001 01 2764.1 2000 12 3664·0 2000 11 8664.4 2000 10 9864.3 2000 09 7964·1 2000 08 7364.3
2000 07 3664·6 2000 06 4264·3 2000 05 564·4 2000 04 3464·7 2000 03 564·3 2000 02 6965.0 2000 01 7564.7 1999 12 1864.8 1999 11 2365·2 1999 10 4264.9 1999 09 8165.0 1999 08 5264·8 1999 07 4865.0 1999 06 4964·7 1999 05 4464.5 1999 04 8564.6 1999 03 6164·8 1999 02 365.2 1999 01 865.0 1998 12 9365·3 1998 11 6865·3 1998 10 4065.3 1998 09 4165·1 1998 08 7664.9 1998 07 165·3 1998 06 2664·9 1998 05 3964.8 1998 04 6064.9 1998 03 1765.1 1998 02 4665.6 1998 01 1965.3 1997 12 9565·6 1997 11 9865·7 1997 10 1565.8 1997 09 2765·7 1997 08 5765·9 1997 07 5066.3 1997 06 7065·8 1997 05 3165·5 1997 04 4665·8 1997 03 465·8 1997 02 7365·9 1997 01 2565·6 1996 12 8765·7 1996 11 1865.8 1996 10 1465.8 1996 09 2965.7 1996 08 3065.6 1996 07 7366·3 1996 06 465·3 1996 05 8765·4 1996 04 5265.7 1996 03 7665.5 1996 02 8265·8 1996 01 6765·0 1995 12 5265.4 1995 11 5865.6 1995 10 1165·7 1995 09 6565·3 1995 08 5565.3 1995 07 7665·7 1995 06 7865.2 1995 05 9965.5 1995 04 1465·7 1995 03 1165.3 1995 02 9665.7 1995 01 1365·2 1994 12 165.4 1994 11 7165·8 1994 10 365·8 1994 09 7665·4 1994 08 1965·3 1994 07 8765·2 1994 06 6364.9 1994 05 8365.4 1994 04 9265·5 1994 03 1565.9 1994 02 6266·2 1994 01 5365·7 1993 12 7165.6 1993 11 3865·6 1993 10 1465.8 1993 09 3065·0 1993 08 3165.3 1993 07 6165·7 1993 06 5765.4 1993 05 8265.5 1993 04 7365·4 1993 03 1665·8 1993 02 5466·1 1993 01 566.0 1992 12 2166.2 1992 11 6166·1 1992 10 9266·3 1992 09 1766·1 1992 08 2766.2 1992 07 7766·5 1992 06 8566·2 1992 05 6366·3 1992 04 6666.7 1992 03 7066·7 1992 02 7066·7 1992 01 1166.4
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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 |