Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
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1973 03 1454.7
1973 04 5255.2
1973 05 7054.5
1973 06 7655·0
1973 07 555.5
1973 08 9054·1
1973 09 7054·9
1973 10 1255·2
1973 11 6255·7
1973 12 2756·5
1974 01 7256.6
1974 02 4656.3
1974 03 3655.3
1974 04 4456·9
1974 05 8757·2
1974 06 2256·6
1974 07 257·4
1974 08 4855.6
1974 09 5455.5
1974 10 1154·9
1974 11 6155.3
1974 12 7056.4
1975 01 3555·7
1975 02 654.4
1975 03 3752·9
1975 04 6853·4
1975 05 1953·2
1975 06 2652·8
1975 07 8253·5
1975 08 2153·4
1975 09 1952.9
1975 10 1552.6
1975 11 7052·3
1975 12 3953·7
1976 01 7154.7
1976 02 4355·1
1976 03 352.9
1976 04 5153·8
1976 05 4054·0
1976 06 453·5
1976 07 553·8
1976 08 1452.2
1976 09 1353.4
1976 10 1653·2
1976 11 2753·6
1976 12 1155·3
1977 01 355·0
1977 02 2455·3
1977 03 4454.1
1977 04 4855·5
1977 05 4755·4
1977 06 9855.0
1977 07 5655.2
1977 08 5754·7
1977 09 955·2
1977 10 3055.1
1977 11 9056·3
1977 12 9357.5
1978 01 7757·2
1978 02 4156·1
1978 03 9556·6
1978 04 3956.7
1978 05 6356.7
1978 06 7456.5
1978 07 4756.0
1978 08 256·3
1978 09 656·7
1978 10 9958·7
1978 11 4659.3
1978 12 1359·8
1979 01 6860·3
1979 02 1060.5
1979 03 1858·8
1979 04 2858.5
1979 05 3757.6
1979 06 2657·1
1979 07 1357.4
1979 08 3056.6
1979 09 2657·9
1979 10 9157.7
1979 11 658·3
1979 12 2559·5
1980 01 7359.4
1980 02 7358.4
1980 03 9858.2
1980 04 4557·3
1980 05 4157·3
1980 06 6957·5
1980 07 1457.4
1980 08 4657·2
1980 09 1856·3
1980 10 9557·2
1980 11 457·5
1980 12 957·5
1981 01 1657.5
1981 02 9857·7
1981 03 4557·2
1981 04 4358.2
1981 05 7458.1
1981 06 4557.8
1981 07 3557.7
1981 08 7757.4
1981 09 5457·3
1981 10 3157·1
1981 11 257·0
1981 12 6956.4
1982 01 4556·1
1982 02 7556·5
1982 03 9556.5
1982 04 155.7
1982 05 5855·6
1982 06 2154.6
1982 07 8954.1
1982 08 7954·0
1982 09 3354.0
1982 10 3954·2
1982 11 8553·6
1982 12 3553.7
1983 01 3253·7
1983 02 2253.6
1983 03 853·2
1983 04 2554·3
1983 05 4254·5
1983 06 8955·0
1983 07 955.6
1983 08 3155·9
1983 09 7755.8
1983 10 8655.8
1983 11 6356·1
1983 12 6056·6
1984 01 7557.1
1984 02 8057.1
1984 03 7057.3
1984 04 4356·8
1984 05 9957·9
1984 06 6658·4
1984 07 5758.3
1984 08 3758·1
1984 09 3558·4
1984 10 6458·1
1984 11 7258·5
1984 12 2459·1
1985 01 9957.2
1985 02 1658.0
1985 03 9257.9
1985 04 1057·5
1985 05 2657·4
1985 06 9457.5
1985 07 1757.5
1985 08 2758·6
1985 09 8058·8
1985 10 8958·1
1985 11 7357.5
1985 12 3157·6
1986 01 5057·5
1986 02 2357.0
1986 03 958·0
1986 04 558·3
1986 05 4757·8
1986 06 3858.6
1986 07 258.9
1986 08 5458·5
1986 09 1058.7
1986 10 559.1
1986 11 5159·6
1986 12 1159.5
1987 01 159.4
1987 02 1659·9
1987 03 8259.9
1987 04 3260·5
1987 05 960·9
1987 06 9260.2
1987 07 4560.2
1987 08 9960.9
1987 09 4760.7
1987 10 7661.1
1987 11 1661.2
1987 12 1861·6
1988 01 5262·7
1988 02 3862·7
1988 03 9661.1
1988 04 2160·9
1988 05 8760.6
1988 06 7161.7
1988 07 961·9
1988 08 6561·3
1988 09 4062.6
1988 10 9662.3
1988 11 562.6
1988 12 3162·6
1989 01 2462·4
1989 02 5563.3
1989 03 6162·8
1989 04 2662.2
1989 05 7762·5
1989 06 1961.8
1989 07 7762.0
1989 08 8161.5
1989 09 6261·7
1989 10 8061.7
1989 11 7862·4
1989 12 5462.1
1990 01 6662.8
1990 02 6062.6
1990 03 1462.5
1990 04 2661·9
1990 05 462.5
1990 06 062·4
1990 07 6162.1
1990 08 362.4
1990 09 1161·6
1990 10 7261·2
1990 11 2060·8
1990 12 1760.0
1991 01 5260.7
1991 02 6860.2
1991 03 1559·4
1991 04 2560·1
1991 05 1459·6
1991 06 859·7
1991 07 9760.4
1991 08 859.5
1991 09 1059·2
1991 10 3759.7
1991 11 4259.7
1991 12 7459.4
1992 01 7859.4
1992 02 2259·3
1992 03 4959·5
1992 04 5359·4
1992 05 8159.2
1992 06 5959.0
1992 07 4559.1
1992 08 359.0
1992 09 758·9
1992 10 6758·8
1992 11 7958·5
1992 12 459.0
1993 01 6859·1
1993 02 8958.9
1993 03 2758.9
1993 04 6458.7
1993 05 359.1
1993 06 9559.1
1993 07 9058·9
1993 08 1559·3
1993 09 7559.2
1993 10 7959.0
1993 11 9259.3
1993 12 1259·4
1994 01 7158·8
1994 02 6059·3
1994 03 8559.6
1994 04 3859·1
1994 05 460·1
1994 06 8259·1
1994 07 4359·3
1994 08 9959·2
1994 09 1259·1
1994 10 1560·2
1994 11 6760·8
1994 12 2759.7
1995 01 5858.9
1995 02 5259.5
1995 03 8259.6
1995 04 7860·0
1995 05 3059·4
1995 06 1360·0
1995 07 3960.3
1995 08 3559.7
1995 09 4160·4
1995 10 4260.1
1995 11 1459·5
1995 12 359.5
1996 01 2959.7
1996 02 859·9
1996 03 559.5
1996 04 1559.3
1996 05 5659.4
1996 06 459.9
1996 07 4060.2
1996 08 2660.9
1996 09 1161.3
1996 10 5161.9
1996 11 6862.5
1996 12 2062.5
1997 01 662·7
1997 02 9362·2
1997 03 6562·0
1997 04 161·5
1997 05 7962·5
1997 06 9762.8
1997 07 3062·9
1997 08 363.4
1997 09 9462·7
1997 10 6062.7
1997 11 9063·3
1997 12 8162.9
1998 01 3762·7
1998 02 9963.0
1998 03 9563.5
1998 04 1763.6
1998 05 2263.9
1998 06 5963.2
1998 07 2162·9
1998 08 1962.7
1998 09 8863·3
1998 10 1063.0
1998 11 6762.8
1998 12 1762.5
1999 01 9663·3
1999 02 4463.3
1999 03 5863.9
1999 04 6862.8
1999 05 3463·0
1999 06 8263.2
1999 07 4763.2
1999 08 5363.5
1999 09 1663·1
1999 10 6763.3
1999 11 763.8
1999 12 8064·1
2000 01 8066·3
2000 02 6966.0
2000 03 3965·8
2000 04 8166.0
2000 05 8765·7
2000 06 8265.9
2000 07 6964·9
2000 08 1165.2
2000 09 2765.7
2000 10 2565.8
2000 11 4765·6
2000 12 5265.9
2001 01 1265·9
2001 02 4165.8
2001 03 4866.0
2001 04 1165.5
2001 05 8065.0
2001 06 164·1
2001 07 7464·8
2001 08 2064.7
2001 09 9364·5
2001 10 9864·7
2001 11 4864.1
2001 12 3664·0
2002 01 4164·0
2002 02 5264·6
2002 03 2163.9
2002 04 3963.9
2002 05 3564·1
2002 06 663.9
2002 07 7064·2
2002 08 3763.9
2002 09 1364.1
2002 10 3163·4
2002 11 9463.5
2002 12 6063.2
2003 01 3963.7
2003 02 1963·6
2003 03 1963.3
2003 04 6763·7
2003 05 062.8
2003 06 9062.8
2003 07 9562.4
2003 08 3962·6
2003 09 962·9
2003 10 8862·8
2003 11 9763·0
2003 12 8163·2
2004 01 563.3
2004 02 8262·6
2004 03 2663.4
2004 04 2663.6
2004 05 4964.1
2004 06 6764·2
2004 07 864·3
2004 08 3164.2
2004 09 3064·0
2004 10 6264.1
2004 11 9263.8
2004 12 7663.7
2005 01 6163.4
2005 02 1063·5
2005 03 5464.0
2005 04 7063.8
2005 05 8064·1
2005 06 8164.1
2005 07 9564.2
2005 08 4264.1
2005 09 4963.7
2005 10 7064.0
2005 11 3964.2
2005 12 5164·2
2006 01 5665.2
2006 02 9465.2
2006 03 3865·1
2006 04 7765.2
2006 05 1565.3
2006 06 9965.6
2006 07 6665.0
2006 08 2764·5
2006 09 6364·4
2006 10 5365.3
2006 11 2565.2
2006 12 3465·7
2007 01 6365.6
2007 02 5065·3
2007 03 3865·5
2007 04 5365.1
2007 05 364.7
2007 06 1164·7
2007 07 5864.7
2007 08 6665·2
2007 09 9664.8
2007 10 7864.7
2007 11 5964·7
2007 12 8064·2
2008 01 8064·3
2008 02 2164.4
2008 03 4163.8
2008 04 2663.9
2008 05 1764·3
2008 06 3563·6
2008 07 3063·4
2008 08 6163·2
2008 09 9663.0
2008 10 3862.3
2008 11 7761.9
2008 12 6761·6
2009 01 2961·0
2009 02 7460.4
2009 03 5660·3
2009 04 5160.7
2009 05 5559.7
2009 06 1359·7
2009 07 6959.9
2009 08 4358.8
2009 09 3659.1
2009 10 4859.0
2009 11 4059.5
2009 12 258·7
2010 01 6059.2
2010 02 9959.4
2010 03 2059.2
2010 04 759.1
2010 05 3959.3
2010 06 1159.0
2010 07 8459·2
2010 08 6759·2
2010 09 1359·2
2010 10 5158·7
2010 11 3358·7
2010 12 1258.5
2011 01 4458·9
2011 02 1558.1
2011 03 9258·6
2011 04 9958·6
2011 05 1958·3
2011 06 2158.6
2011 07 1158·6
2011 08 1059·1
2011 09 5259.0
2011 10 1459.5
2011 11 6759·4
2011 12 5159·6
2012 01 8059·2
2012 02 6259·5
2012 03 5859.3
2012 04 5559.5
2012 05 6659.7
2012 06 6059·6
2012 07 1259·7
2012 08 7859·3
2012 09 9959·6
2012 10 2759·7
2012 11 7759.5
2012 12 059·6
2013 01 9159·8
2013 02 859.8
2013 03 3059.4
2013 04 3059·8
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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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