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 4969.0 2012 03 8469.3 2012 02 5869·1 2012 01 6269·2 2011 12 1169.1 2011 11 2068.5 2011 10 869·2 2011 09 2469·3 2011 08 9669·2 2011 07 1169·1 2011 06 1669·9 2011 05 4069.7 2011 04 5469.6 2011 03 3969.6 2011 02 9369.3 2011 01 5670·2 2010 12 6070.1 2010 11 1069·8 2010 10 7970.3 2010 09 4070·1 2010 08 1670.4 2010 07 5570·3 2010 06 3571·0 2010 05 8671.1 2010 04 4571·0 2010 03 3270.9 2010 02 5070.2 2010 01 1371.4 2009 12 9970·5 2009 11 2170.3 2009 10 3670·8 2009 09 6670.5 2009 08 5271.2 2009 07 3070·9 2009 06 3271·4 2009 05 1471.6 2009 04 771·8 2009 03 9171·8 2009 02 171·5 2009 01 5171·9 2008 12 8671.8 2008 11 5971.4 2008 10 3071.4 2008 09 9672·0 2008 08 4271.9 2008 07 1671.3 2008 06 3172.1 2008 05 9372·4 2008 04 5072·2 2008 03 7072.1 2008 02 4471·3 2008 01 1172·4 2007 12 972·2 2007 11 5171·6 2007 10 3171·4 2007 09 4571.9 2007 08 4572.1 2007 07 1771·3 2007 06 8072·5 2007 05 1472.6 2007 04 1072·4 2007 03 4972.1 2007 02 471.3 2007 01 6172·6 2006 12 7772.6 2006 11 5471·9 2006 10 4072·0 2006 09 5672·4 2006 08 4872·2 2006 07 6371·3 2006 06 5172.4 2006 05 9372.7 2006 04 4772·5 2006 03 3372.4 2006 02 2771·9 2006 01 9172.6 2005 12 2672.3 2005 11 4572.1 2005 10 7872.0 2005 09 9472·4 2005 08 5972.2 2005 07 771.3 2005 06 4372.8 2005 05 7273.4 2005 04 4873·1 2005 03 5072.8 2005 02 8672.2 2005 01 1973.0 2004 12 1772.3 2004 11 3072·3 2004 10 9471·7 2004 09 5372.2 2004 08 1672.0 2004 07 2971·6 2004 06 7972·8 2004 05 1973.1 2004 04 2272.9 2004 03 5572.9 2004 02 8072.2 2004 01 8772·9 2003 12 3572·3 2003 11 3772.4 2003 10 6072.3 2003 09 4972·9 2003 08 7972·6 2003 07 3471.9 2003 06 773.0 2003 05 2573·4 2003 04 673.5 2003 03 2673·4 2003 02 3373·0 2003 01 6073.5 2002 12 9072.8 2002 11 2173·1 2002 10 7673·0 2002 09 2373·6 2002 08 3373.0 2002 07 5072·3 2002 06 9973.3 2002 05 773·9 2002 04 5973.5 2002 03 7073.0 2002 02 9072·6 2002 01 3273.7 2001 12 1973.6 2001 11 6173.7 2001 10 6373.2 2001 09 4373·9 2001 08 8873·6 2001 07 3273.1 2001 06 5474·2 2001 05 774.6 2001 04 6774.2 2001 03 1373·4 2001 02 2773·0 2001 01 1974.3 2000 12 8173.8 2000 11 6273.3 2000 10 7073.3 2000 09 9974.2 2000 08 8173.8 2000 07 5973·5 2000 06 9574·5 2000 05 9174·7 2000 04 4174·6 2000 03 1273·9 2000 02 4173·2 2000 01 6374·0 1999 12 6373·6 1999 11 5273.6 1999 10 7073·7 1999 09 1074.8 1999 08 7173.7 1999 07 3673.7 1999 06 7074.5 1999 05 5174.7 1999 04 1774·5 1999 03 4573·7 1999 02 5573·5 1999 01 3074·8 1998 12 7574.2 1998 11 8774.3 1998 10 6174.0 1998 09 1775·1
1998 08 4574.3 1998 07 9273·9 1998 06 5374·6 1998 05 474·7 1998 04 5474.1 1998 03 1774.1 1998 02 1773·7 1998 01 1375·2 1997 12 5274.7 1997 11 4474·4 1997 10 6673·9 1997 09 8675·0 1997 08 1374·6 1997 07 8073·8 1997 06 4075·1 1997 05 9275.1 1997 04 3974.8 1997 03 5674.8 1997 02 074·5 1997 01 2775.8 1996 12 5575.0 1996 11 3074·5 1996 10 3474·4 1996 09 974·9 1996 08 1174.4 1996 07 8173·8 1996 06 5575·3 1996 05 8275·2 1996 04 8275·1 1996 03 1874.9 1996 02 174·2 1996 01 1675.1 1995 12 6974·2 1995 11 7274·2 1995 10 3673.4 1995 09 474·5 1995 08 9874.3 1995 07 9973.7 1995 06 4675.0 1995 05 6575.2 1995 04 1875.1 1995 03 8174·8 1995 02 4674·4 1995 01 4575.6 1994 12 675·0 1994 11 2575.1 1994 10 7274.1 1994 09 1175.1 1994 08 6175.4 1994 07 6374.4 1994 06 8775.9 1994 05 5976·1 1994 04 975·1 1994 03 5075·1 1994 02 8074·9 1994 01 775.9 1993 12 075.2 1993 11 6974·7 1993 10 6374.3 1993 09 9975.2 1993 08 1075.5 1993 07 2774.8 1993 06 7576·0 1993 05 475.8 1993 04 3975·2 1993 03 5475·1 1993 02 7874·9 1993 01 1875·0 1992 12 1275.0 1992 11 874.9 1992 10 5974.5 1992 09 5875.1 1992 08 8175.5 1992 07 7075.1 1992 06 3376·0 1992 05 6975.9 1992 04 1975.4 1992 03 4775.5 1992 02 3775·1 1992 01 2075.6
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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 |