Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
1976 06 961023·
1976 07 541034.
1976 08 361067·
1976 09 451119.
1976 10 91069·
1976 11 561110.
1976 12 171088·
1977 01 541024·
1977 02 71033·
1977 03 761012.
1977 04 191032.
1977 05 801016·
1977 06 401081.
1977 07 941095.
1977 08 521063.
1977 09 671102.
1977 10 841137·
1977 11 181168·
1977 12 571126·
1978 01 861104.
1978 02 391083.
1978 03 791086·
1978 04 941125.
1978 05 291121.
1978 06 311186·
1978 07 341161·
1978 08 531123·
1978 09 161189.
1978 10 101237·
1978 11 641243.
1978 12 461188.
1979 01 911188·
1979 02 521181.
1979 03 771143.
1979 04 111194·
1979 05 231173.
1979 06 561204·
1979 07 31181·
1979 08 111179.
1979 09 71183.
1979 10 481203·
1979 11 991211·
1979 12 341190.
1980 01 621167·
1980 02 801214.
1980 03 481210·
1980 04 921201·
1980 05 311193.
1980 06 251187.
1980 07 551143.
1980 08 241163.
1980 09 841147.
1980 10 841139.
1980 11 521173·
1980 12 931154·
1981 01 151128·
1981 02 831129.
1981 03 961168·
1981 04 851187.
1981 05 431191.
1981 06 731151·
1981 07 691156·
1981 08 151156·
1981 09 121149.
1981 10 281187.
1981 11 771127.
1981 12 201165.
1982 01 911107.
1982 02 491109·
1982 03 521150·
1982 04 631138.
1982 05 751157.
1982 06 611161.
1982 07 501107·
1982 08 321105.
1982 09 831121·
1982 10 151110·
1982 11 531111.
1982 12 401114.
1983 01 591099.
1983 02 861105·
1983 03 681134.
1983 04 251127.
1983 05 711092·
1983 06 751067·
1983 07 271113.
1983 08 491125.
1983 09 151161·
1983 10 61175·
1983 11 851176·
1983 12 01106·
1984 01 91103·
1984 02 311118.
1984 03 261118·
1984 04 921046·
1984 05 971076.
1984 06 241061.
1984 07 541076·
1984 08 631033·
1984 09 491119.
1984 10 871089.
1984 11 31065.
1984 12 741044.
1985 01 581032.
1985 02 441066·
1985 03 281132.
1985 04 141098·
1985 05 441133.
1985 06 461076·
1985 07 111052·
1985 08 961092·
1985 09 511182·
1985 10 681136.
1985 11 591120·
1985 12 591117.
1986 01 481171·
1986 02 111162.
1986 03 41169·
1986 04 631155·
1986 05 301166·
1986 06 01129·
1986 07 21147.
1986 08 991095·
1986 09 151090.
1986 10 851073·
1986 11 341057·
1986 12 781105.
1987 01 471066.
1987 02 421097.
1987 03 81180·
1987 04 381148·
1987 05 961244.
1987 06 711239.
1987 07 551184·
1987 08 421226.
1987 09 551233·
1987 10 981279.
1987 11 321255.
1987 12 791250·
1988 01 451152·
1988 02 731240·
1988 03 211241·
1988 04 611248·
1988 05 81272.
1988 06 711287·
1988 07 271221·
1988 08 261262·
1988 09 151273.
1988 10 931285·
1988 11 831287·
1988 12 361313.
1989 01 591301·
1989 02 641336·
1989 03 451386·
1989 04 801378·
1989 05 601350·
1989 06 351299·
1989 07 951271.
1989 08 711237·
1989 09 611234·
1989 10 801262.
1989 11 391249.
1989 12 461330·
1990 01 321288.
1990 02 11289·
1990 03 101354.
1990 04 691330.
1990 05 671315.
1990 06 231277·
1990 07 641219.
1990 08 271212·
1990 09 851277.
1990 10 951195.
1990 11 821213·
1990 12 331195.
1991 01 301164·
1991 02 941196·
1991 03 711287.
1991 04 261277.
1991 05 711277.
1991 06 201233·
1991 07 631220.
1991 08 671178·
1991 09 31199.
1991 10 991211·
1991 11 151214·
1991 12 451185.
1992 01 441232·
1992 02 801272.
1992 03 71307.
1992 04 731297·
1992 05 401300.
1992 06 391293·
1992 07 471254·
1992 08 881313.
1992 09 581315.
1992 10 761300·
1992 11 671311·
1992 12 541314.
1993 01 931270.
1993 02 181229·
1993 03 221213.
1993 04 591155·
1993 05 641248.
1993 06 131236.
1993 07 961282.
1993 08 141249·
1993 09 161280·
1993 10 391289.
1993 11 931260·
1993 12 591314·
1994 01 171390·
1994 02 941333·
1994 03 461358·
1994 04 561388.
1994 05 611385.
1994 06 41367·
1994 07 121324.
1994 08 931382·
1994 09 681414.
1994 10 211433.
1994 11 721406.
1994 12 831422.
1995 01 831427.
1995 02 181377.
1995 03 321439.
1995 04 631429·
1995 05 731344.
1995 06 981354.
1995 07 261302.
1995 08 971294.
1995 09 331399.
1995 10 841435·
1995 11 81483·
1995 12 731506.
1996 01 831457·
1996 02 271449.
1996 03 611461·
1996 04 31406.
1996 05 661478·
1996 06 41461·
1996 07 911455·
1996 08 261470·
1996 09 511508.
1996 10 131472.
1996 11 311529·
1996 12 31462.
1997 01 341495.
1997 02 811461·
1997 03 361502.
1997 04 241496·
1997 05 321536.
1997 06 581515.
1997 07 881473·
1997 08 11479·
1997 09 901504.
1997 10 191562·
1997 11 941534·
1997 12 711570·
1998 01 771483·
1998 02 651469.
1998 03 861456.
1998 04 991488·
1998 05 881444·
1998 06 201427·
1998 07 201529·
1998 08 711469.
1998 09 411642·
1998 10 371624·
1998 11 781548.
1998 12 01585.
1999 01 811473.
1999 02 891508.
1999 03 671561.
1999 04 261585·
1999 05 761623·
1999 06 781633.
1999 07 171647.
1999 08 91622.
1999 09 211708·
1999 10 281649.
1999 11 871610.
1999 12 381642·
2000 01 351655·
2000 02 901676·
2000 03 561739·
2000 04 271663.
2000 05 621735.
2000 06 401711.
2000 07 331747·
2000 08 131822·
2000 09 721768·
2000 10 771828·
2000 11 491772.
2000 12 581803.
2001 01 571830·
2001 02 281792·
2001 03 601787.
2001 04 521815.
2001 05 391773.
2001 06 421776·
2001 07 481779·
2001 08 61857·
2001 09 601845·
2001 10 951844·
2001 11 191749.
2001 12 591812.
2002 01 901801.
2002 02 881811·
2002 03 61896·
2002 04 731887.
2002 05 221890.
2002 06 461891.
2002 07 651815·
2002 08 361819.
2002 09 771843·
2002 10 181807.
2002 11 771770.
2002 12 621789·
2003 01 991925·
2003 02 811986.
2003 03 492000.
2003 04 871988·
2003 05 551963.
2003 06 351911·
2003 07 131866.
2003 08 761890·
2003 09 411940·
2003 10 61909·
2003 11 261968·
2003 12 161962·
2004 01 761967.
2004 02 431951.
2004 03 691937·
2004 04 201842.
2004 05 31914.
2004 06 221949·
2004 07 481899·
2004 08 252004·
2004 09 932040·
2004 10 442030.
2004 11 962019·
2004 12 952022·
2005 01 381979.
2005 02 342015·
2005 03 692012·
2005 04 172089.
2005 05 592135.
2005 06 422070·
2005 07 492143.
2005 08 42115.
2005 09 992118.
2005 10 442205·
2005 11 422133·
2005 12 952172.
2006 01 282134.
2006 02 402128.
2006 03 802207·
2006 04 522294·
2006 05 392323.
2006 06 552207·
2006 07 192161.
2006 08 632269.
2006 09 532272·
2006 10 402343·
2006 11 422295·
2006 12 412308.
2007 01 122196.
2007 02 702181.
2007 03 552259.
2007 04 242313·
2007 05 862408.
2007 06 462392.
2007 07 892415.
2007 08 752466·
2007 09 692550·
2007 10 932491.
2007 11 12493.
2007 12 812499.
2008 01 812435.
2008 02 622383.
2008 03 732480.
2008 04 552505·
2008 05 652515.
2008 06 272564·
2008 07 122593.
2008 08 362614.
2008 09 912644·
2008 10 892653·
2008 11 482657.
2008 12 872647.
2009 01 522643·
2009 02 742526.
2009 03 402586·
2009 04 942531.
2009 05 692580.
2009 06 322515·
2009 07 672505.
2009 08 712567·
2009 09 842621·
2009 10 392675.
2009 11 382694·
2009 12 572529·
2010 01 682555·
2010 02 942545.
2010 03 832634·
2010 04 132609.
2010 05 142726.
2010 06 232674.
2010 07 602648·
2010 08 282688·
2010 09 412765.
2010 10 772671.
2010 11 492700.
2010 12 142765.
2011 01 952754.
2011 02 312783·
2011 03 582745·
2011 04 112851.
2011 05 422851.
2011 06 852827·
2011 07 192888·
2011 08 792887.
2011 09 793013·
2011 10 643039·
2011 11 873063.
2011 12 83070·
2012 01 243064·
2012 02 203146·
2012 03 443157.
2012 04 103094·
2012 05 213193.
2012 06 283132.
2012 07 983074.
2012 08 233193.
2012 09 393264·
2012 10 873296.
2012 11 803370·
2012 12 93297.
2013 01 733283.
2013 02 243319·
2013 03 463345.
2013 04 583373.
|
|

Click on chart to change display options.
Skip to Data /
More Chart Options

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.
|
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 |
|