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Link to Series in Level 0 Subscription Site
2012 04 38669.
2012 03 78671·
2012 02 95713·
2012 01 80663.
2011 12 47679·
2011 11 11643.
2011 10 93625·
2011 09 39667·
2011 08 79625.
2011 07 0596.
2011 06 47666.
2011 05 52635.
2011 04 84686·
2011 03 24668·
2011 02 71627·
2011 01 64661.
2010 12 37649.
2010 11 92696·
2010 10 3705·
2010 09 45608·
2010 08 39675.
2010 07 34654·
2010 06 6628.
2010 05 88692.
2010 04 15676·
2010 03 7708·
2010 02 68697·
2010 01 12761·
2009 12 16743.
2009 11 94735.
2009 10 2696·
2009 09 62695.
2009 08 16693·
2009 07 0763.
2009 06 45735.
2009 05 7722.
2009 04 17759·
2009 03 57679.
2009 02 60754·
2009 01 41790.
2008 12 44734·
2008 11 22689.
2008 10 36788·
2008 09 82813·
2008 08 47834·
2008 07 76809·
2008 06 84755·
2008 05 76808·
2008 04 1756·
2008 03 27770·
2008 02 44831·
2008 01 92870.
2007 12 7852·
2007 11 5794·
2007 10 78770·
2007 09 22761.
2007 08 91745.
2007 07 68771·
2007 06 74832·
2007 05 88788·
2007 04 2832.
2007 03 97797.
2007 02 44841.
2007 01 32844·
2006 12 16841·
2006 11 98872·
2006 10 27904.
2006 09 23857.
2006 08 33851·
2006 07 4878.
2006 06 86882·
2006 05 57850.
2006 04 80873·
2006 03 71925.
2006 02 8925.
2006 01 52791·
2005 12 5779·
2005 11 80857.
2005 10 6769·
2005 09 53751·
2005 08 86819·
2005 07 39818·
2005 06 18807.
2005 05 28837·
2005 04 21817.
2005 03 78827.
2005 02 8730.
2005 01 71814·
2004 12 37758·
2004 11 56823.
2004 10 62829·
2004 09 2761.
2004 08 83813·
2004 07 52794.
2004 06 95742.
2004 05 65737·
2004 04 36671·
2004 03 74714.
2004 02 43681.
2004 01 29780·
2003 12 95704·
2003 11 53709·
2003 10 69778.
2003 09 88832·
2003 08 86730.
2003 07 47780·
2003 06 63757.
2003 05 62799.
2003 04 60783·
2003 03 36765.
2003 02 35804.
2003 01 94809·
2002 12 91887·
2002 11 28854·
2002 10 25866·
2002 09 53899.
2002 08 81850·
2002 07 54809.
2002 06 96889·
2002 05 34877.
2002 04 54932.
2002 03 70871.
2002 02 34909.
2002 01 56858.
2001 12 61892.
2001 11 59889.
2001 10 53898.
2001 09 63863·
2001 08 77862·
2001 07 26882·
2001 06 91903·
2001 05 25877·
2001 04 3908.
2001 03 5930·
2001 02 11942·
2001 01 34969.
2000 12 64950·
2000 11 50970·
2000 10 1931·
2000 09 11930.
2000 08 10944·
2000 07 44919.
2000 06 73928.
2000 05 99914.
2000 04 18926.
2000 03 94957.
2000 02 66998.
2000 01 68926·
1999 12 86962·
1999 11 31916·
1999 10 42968.
1999 09 12971·
1999 08 41940.
1999 07 12943.
1999 06 89941.
1999 05 50928·
1999 04 34918.
1999 03 181006·
1999 02 20997.
1999 01 261037·
1998 12 381018·
1998 11 561062·
1998 10 741046.
1998 09 91105.
1998 08 561024.
1998 07 581005.
1998 06 121068.
1998 05 94975.
1998 04 12989.
1998 03 80983.
1998 02 23941.
1998 01 99969·
1997 12 56943.
1997 11 4943·
1997 10 19937.
1997 09 69917·
1997 08 64947·
1997 07 37888.
1997 06 39896.
1997 05 73905.
1997 04 37923.
1997 03 10970.
1997 02 46977·
1997 01 4954.
1996 12 0921·
1996 11 80897·
1996 10 27965·
1996 09 83911·
1996 08 2962·
1996 07 29925.
1996 06 95900·
1996 05 53961.
1996 04 21964.
1996 03 62920.
1996 02 89844.
1996 01 83902.
1995 12 55944·
1995 11 13999·
1995 10 70919.
1995 09 68977.
1995 08 30944.
1995 07 37926·
1995 06 27936.
1995 05 27872·
1995 04 98890·
1995 03 16849·
1995 02 74880·
1995 01 3802.
1994 12 32815.
1994 11 57879·
1994 10 46920.
1994 09 67839·
1994 08 34845·
1994 07 91868.
1994 06 9870·
1994 05 11778.
1994 04 29833·
1994 03 76830·
1994 02 49820.
1994 01 56917.
1993 12 67772.
1993 11 92780.
1993 10 79745·
1993 09 45790·
1993 08 24829.
1993 07 46821·
1993 06 37785.
1993 05 47858·
1993 04 0830·
1993 03 70808·
1993 02 87837.
1993 01 57817·
1992 12 20829·
1992 11 21811.
1992 10 15796.
1992 09 94847·
1992 08 35854.
1992 07 80812·
1992 06 36827·
1992 05 2796.
1992 04 20776·
1992 03 54778·
1992 02 86841·
1992 01 50820.
1991 12 77749·
1991 11 74750·
1991 10 29774.
1991 09 32786·
1991 08 29725.
1991 07 98761.
1991 06 53762·
1991 05 68769·
1991 04 27804.
1991 03 6844.
1991 02 70785·
1991 01 1783·
1990 12 47838·
1990 11 6873.
1990 10 19853.
1990 09 0834.
1990 08 90850·
1990 07 29846·
1990 06 62861.
1990 05 61868.
1990 04 80887·
1990 03 32900·
1990 02 87887·
1990 01 1899·
1989 12 68962·
1989 11 96944.
1989 10 7938·
1989 09 65924.
1989 08 30931.
1989 07 28978·
1989 06 60962.
1989 05 23910·
1989 04 65880.
1989 03 59869.
1989 02 8927.
1989 01 68886.
1988 12 99901.
1988 11 47892.
1988 10 41898·
1988 09 19922.
1988 08 83941·
1988 07 73934.
1988 06 70856·
1988 05 21906·
1988 04 92832.
1988 03 44833·
1988 02 34861·
1988 01 43884.
1987 12 26923·
1987 11 90922.
1987 10 95949·
1987 09 78922.
1987 08 11980·
1987 07 70869.
1987 06 41866.
1987 05 47867.
1987 04 97860.
1987 03 64864.
1987 02 85888.
1987 01 93869·
1986 12 59834·
1986 11 79825.
1986 10 66869.
1986 09 85870.
1986 08 99814·
1986 07 46847.
1986 06 46939.
1986 05 18926.
1986 04 40942.
1986 03 24935·
1986 02 12893·
1986 01 10903·
1985 12 35895.
1985 11 92875.
1985 10 78905·
1985 09 6864·
1985 08 57871·
1985 07 58934·
1985 06 82846.
1985 05 75909·
1985 04 8896.
1985 03 53891.
1985 02 86885·
1985 01 11900·
1984 12 12852·
1984 11 34848.
1984 10 79859.
1984 09 33855·
1984 08 21866.
1984 07 83861·
1984 06 73855·
1984 05 85770.
1984 04 10819.
1984 03 6768.
1984 02 6798.
1984 01 37769.
1983 12 78799.
1983 11 35800·
1983 10 41780.
1983 09 82804.
1983 08 52848·
1983 07 27821.
1983 06 66881·
1983 05 40801.
1983 04 82806·
1983 03 63774·
1983 02 94783·
1983 01 55813.
1982 12 43841.
1982 11 49836.
1982 10 63830.
1982 09 96844.
1982 08 35851·
1982 07 18798·
1982 06 35732.
1982 05 57826.
1982 04 85781·
1982 03 26843·
1982 02 99864·
1982 01 58839·
1981 12 41837.
1981 11 55853·
1981 10 68866·
1981 09 41812.
1981 08 81803·
1981 07 11810·
1981 06 79842.
1981 05 78882·
1981 04 4935.
1981 03 26882.
1981 02 94872.
1981 01 61948·
1980 12 35890.
1980 11 57886.
1980 10 3886·
1980 09 10903·
1980 08 25839.
1980 07 85928.
1980 06 18905.
1980 05 69897.
1980 04 49859.
1980 03 17881.
1980 02 77903.
1980 01 7903·
1979 12 8891.
1979 11 85882.
1979 10 43904.
1979 09 18871·
1979 08 28894.
1979 07 45891·
1979 06 3901.
1979 05 22910·
1979 04 57978·
1979 03 79935·
1979 02 71966.
1979 01 62921.
1978 12 73948.
1978 11 93950·
1978 10 85920·
1978 09 8911·
1978 08 75928.
1978 07 19981.
1978 06 6945.
1978 05 54916.
1978 04 88915·
1978 03 14920·
1978 02 24915·
1978 01 19912.
1977 12 64935·
1977 11 60929·
1977 10 51906.
1977 09 47899·
1977 08 76940.
1977 07 62873·
1977 06 25899·
1977 05 7780.
1977 04 27786.
1977 03 54787.
1977 02 9794·
1977 01 94803.
1976 12 41813·
1976 11 90835·
1976 10 91819·
1976 09 26820·
1976 08 69872.
1976 07 54812·
1976 06 83785·
1976 05 48856·
1976 04 85861·
1976 03 51869·
1976 02 24844.
1976 01 29859.
1975 12 91848.
1975 11 14818·
1975 10 76836·
1975 09 62835.
1975 08 12787·
1975 07 98813·
1975 06 28848·
1975 05 68845·
1975 04 98857·
1975 03 86851·
1975 02 92865.
1975 01 90844.
1974 12 24832.
1974 11 85839.
1974 10 6890.
1974 09 97872·
1974 08 92810.
1974 07 25863.
1974 06 33865·
1974 05 84844.
1974 04 26803.
1974 03 63866.
1974 02 61849·
1974 01 70881.
1973 12 76845·
1973 11 82846·
1973 10 3847.
1973 09 98877.
1973 08 19813.
1973 07 87842·
1973 06 96847.
1973 05 38808.
1973 04 54851·
1973 03 11810·
1973 02 4836·
1973 01 84754·
1972 12 7810.
1972 11 9793·
1972 10 15782.
1972 09 56775·
1972 08 28821.
1972 07 65777·
1972 06 41805.
1972 05 97771.
1972 04 93770.
1972 03 84786.
1972 02 20790.
1972 01 76774·
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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:
Civilian Labor Force
(subcategories)
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)
These basic measures are augmented by:
Population
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
These series can be subdivided by:
Sex:
Male
Female
Race and Ethnicity:
White
Black
Hispanic
Mexican
Puerto Rican
Cuban
Age:
16 years and over (default)
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
Class Of Worker:
Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers
Industry:
Agriculture_Service
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
Occupation:
Managerial_&_professional_specialty_occupation
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
Input your search text below.
or alter the examples after this blank template.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
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Example 3: Get Population Level Data for Workers |
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