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 8138·2
2012 03 1940·5
2012 02 8534·7
2012 01 3638·5
2011 12 5542·1
2011 11 2939·6
2011 10 4437.5
2011 09 1743.6
2011 08 4646·3
2011 07 8739·1
2011 06 5439·8
2011 05 4740·8
2011 04 441·3
2011 03 7541.9
2011 02 2838.4
2011 01 7044·8
2010 12 344·0
2010 11 046·4
2010 10 348·7
2010 09 5548.3
2010 08 4544.5
2010 07 9341.6
2010 06 4341.1
2010 05 9639·0
2010 04 5638.2
2010 03 1241·4
2010 02 3642·7
2010 01 1241·8
2009 12 8447.4
2009 11 3749·1
2009 10 9442·0
2009 09 4740·3
2009 08 634·2
2009 07 7537·0
2009 06 5539.3
2009 05 7140·5
2009 04 2236.2
2009 03 5833·7
2009 02 8239.5
2009 01 7835·2
2008 12 5832.4
2008 11 4331.2
2008 10 6433.2
2008 09 8629·1
2008 08 6329.3
2008 07 1133.5
2008 06 1230.4
2008 05 4032·2
2008 04 1425.4
2008 03 6932·5
2008 02 6531·1
2008 01 1032·8
2007 12 1032·8
2007 11 4828·9
2007 10 8627·3
2007 09 8929.0
2007 08 7731·5
2007 07 627.5
2007 06 6231·9
2007 05 9529.3
2007 04 6631·8
2007 03 2325·9
2007 02 728.5
2007 01 7527·4
2006 12 5124·2
2006 11 727.1
2006 10 5926.4
2006 09 9632.2
2006 08 3428·8
2006 07 8932·9
2006 06 7928.3
2006 05 5324·5
2006 04 4029·6
2006 03 2634·9
2006 02 5729·7
2006 01 6529·0
2005 12 1823.5
2005 11 9938·6
2005 10 533·1
2005 09 7633·3
2005 08 4536·0
2005 07 1532·6
2005 06 6032·9
2005 05 5536·9
2005 04 2035·9
2005 03 533.9
2005 02 8731.4
2005 01 9629.0
2004 12 7031·9
2004 11 2732.2
2004 10 7234.9
2004 09 1928·6
2004 08 4428·8
2004 07 6236·7
2004 06 2933·5
2004 05 6732.6
2004 04 1827·5
2004 03 1630·0
2004 02 9525.5
2004 01 1033·5
2003 12 9228.7
2003 11 2228.6
2003 10 3437.4
2003 09 4332·5
2003 08 9229.6
2003 07 3534.0
2003 06 3337·9
2003 05 8336·1
2003 04 6832·1
2003 03 3833.9
2003 02 531.6
2003 01 7530.7
2002 12 9636.0
2002 11 3731·2
2002 10 8924.0
2002 09 8927.8
2002 08 7630·0
2002 07 6425.5
2002 06 4629.4
2002 05 1829·2
2002 04 3334.5
2002 03 7532·0
2002 02 6530.1
2002 01 8231.5
2001 12 1734.8
2001 11 5232.9
2001 10 5931.2
2001 09 2428·5
2001 08 529.4
2001 07 225.3
2001 06 6527.7
2001 05 1423.8
2001 04 9629·4
2001 03 5729·3
2001 02 4730·5
2001 01 4727.9
2000 12 1626.3
2000 11 7222·1
2000 10 9324.6
2000 09 4024.7
2000 08 1526.6
2000 07 3025·9
2000 06 1426.0
2000 05 3923·7
2000 04 6820·0
2000 03 3724·6
2000 02 5024·1
2000 01 1223.1
1999 12 7724·4
1999 11 2529.5
1999 10 6331·6
1999 09 5432.0
1999 08 6627.0
1999 07 5026.9
1999 06 4126.0
1999 05 8425.2
1999 04 8626·7
1999 03 9529·7
1999 02 9728·3
1999 01 4529.2
1998 12 1221.9
1998 11 6628·0
1998 10 6828·7
1998 09 829·6
1998 08 4527·9
1998 07 9328.9
1998 06 1924·7
1998 05 6530·4
1998 04 1024·8
1998 03 3627·7
1998 02 3529·9
1998 01 3729·7
1997 12 5735·9
1997 11 7332·3
1997 10 3128·7
1997 09 6731.5
1997 08 6229.9
1997 07 1330.9
1997 06 4535·0
1997 05 2534.6
1997 04 2433.0
1997 03 8831·0
1997 02 3932·0
1997 01 533·9
1996 12 7134.7
1996 11 5234·0
1996 10 034.5
1996 09 2532·9
1996 08 5137·3
1996 07 9034.8
1996 06 4332.9
1996 05 3130·5
1996 04 4134·0
1996 03 632·0
1996 02 530·9
1996 01 9033·5
1995 12 4034·7
1995 11 3230·6
1995 10 4833.9
1995 09 9836·8
1995 08 7539·7
1995 07 2638.4
1995 06 6137·9
1995 05 7436.5
1995 04 9436.5
1995 03 6932·2
1995 02 5735·7
1995 01 6035.0
1994 12 7534·1
1994 11 6733.1
1994 10 7338·0
1994 09 2832·8
1994 08 1734.0
1994 07 5236·4
1994 06 7235·6
1994 05 7039·2
1994 04 4636·1
1994 03 8135.3
1994 02 4335·5
1994 01 732.7
1993 12 1237.6
1993 11 3641·2
1993 10 9736·2
1993 09 8138.1
1993 08 9032.4
1993 07 2335.0
1993 06 7440·1
1993 05 6337.8
1993 04 8144.6
1993 03 7343·2
1993 02 3639.5
1993 01 4640·5
1992 12 1039·9
1992 11 4441.4
1992 10 7042.2
1992 09 4943.6
1992 08 2837·9
1992 07 1640·3
1992 06 9040.4
1992 05 1840·5
1992 04 1038.1
1992 03 9736.9
1992 02 3439.1
1992 01 2037·0
1991 12 5636·7
1991 11 1934.9
1991 10 6439·0
1991 09 5038·2
1991 08 9238·5
1991 07 3734.7
1991 06 6832.8
1991 05 2732·2
1991 04 6836.2
1991 03 3438·2
1991 02 6035.8
1991 01 9636.9
1990 12 6036·0
1990 11 1734·7
1990 10 7732·0
1990 09 2431·2
1990 08 6733·1
1990 07 1632·2
1990 06 8231·0
1990 05 829.4
1990 04 1627·6
1990 03 8828.2
1990 02 6228·7
1990 01 6527·8
1989 12 5729·8
1989 11 1631·6
1989 10 3233.0
1989 09 3937·3
1989 08 6530·2
1989 07 528.0
1989 06 2835·1
1989 05 132·7
1989 04 4033·0
1989 03 8831·5
1989 02 1432.7
1989 01 4434.5
1988 12 830.1
1988 11 2030·7
1988 10 7730.2
1988 09 8732·4
1988 08 2031.2
1988 07 8531.9
1988 06 3129·1
1988 05 7534·2
1988 04 5032.5
1988 03 8836.0
1988 02 1336.9
1988 01 7533·8
1987 12 9934.2
1987 11 6033.9
1987 10 8634·2
1987 09 8431.3
1987 08 9329·7
1987 07 5933·5
1987 06 3834.4
1987 05 1936·8
1987 04 8237.6
1987 03 6736.3
1987 02 8237·2
1987 01 2638.3
1986 12 4137.4
1986 11 8936.4
1986 10 5636.2
1986 09 7239·9
1986 08 7041·0
1986 07 5839·3
1986 06 2240.4
1986 05 5339·0
1986 04 9641·4
1986 03 3041·5
1986 02 6938.6
1986 01 8740.8
1985 12 6842.2
1985 11 8742.3
1985 10 1041.2
1985 09 1839.9
1985 08 6136.9
1985 07 3541·3
1985 06 8239·6
1985 05 1639.1
1985 04 7738·2
1985 03 739.8
1985 02 4842.0
1985 01 7541.0
1984 12 4141.7
1984 11 5841·9
1984 10 9741.4
1984 09 1442.7
1984 08 243.1
1984 07 7042.2
1984 06 4038·6
1984 05 7643.6
1984 04 3743.8
1984 03 5145·1
1984 02 1643.0
1984 01 3246·8
1983 12 4647·4
1983 11 3147.1
1983 10 8949.4
1983 09 7651·4
1983 08 5452.1
1983 07 6748·2
1983 06 4552·0
1983 05 2548·4
1983 04 1148.8
1983 03 4144·2
1983 02 9746.4
1983 01 2646·4
1982 12 9348.0
1982 11 6049·5
1982 10 8447.7
1982 09 4647.9
1982 08 149·7
1982 07 5549.4
1982 06 6952.0
1982 05 8050·1
1982 04 5947.9
1982 03 8347.1
1982 02 3944·3
1982 01 4742.9
1981 12 1941·7
1981 11 2643·6
1981 10 645·8
1981 09 9239.7
1981 08 5447.3
1981 07 8939·0
1981 06 1041.0
1981 05 8236·6
1981 04 6740·6
1981 03 540·5
1981 02 1339.4
1981 01 1340·7
1980 12 8240·3
1980 11 3137.9
1980 10 339.7
1980 09 439.9
1980 08 5038.5
1980 07 4838.8
1980 06 9336·9
1980 05 9838·2
1980 04 4635.5
1980 03 6237.2
1980 02 2039·6
1980 01 6638·3
1979 12 7036·3
1979 11 635·9
1979 10 4837·9
1979 09 035.4
1979 08 4835·8
1979 07 3534.9
1979 06 6437.4
1979 05 2038.1
1979 04 3139.1
1979 03 3334·3
1979 02 8137·2
1979 01 7134·7
1978 12 9236.5
1978 11 438.2
1978 10 3834·5
1978 09 2136·4
1978 08 3437.2
1978 07 8237·6
1978 06 9638·5
1978 05 6540.2
1978 04 8240·0
1978 03 2242.0
1978 02 4540.3
1978 01 2241.4
1977 12 8540·3
1977 11 641.6
1977 10 9640.3
1977 09 3540·4
1977 08 1943.2
1977 07 4143·4
1977 06 8942·4
1977 05 7540·1
1977 04 8537·9
1977 03 5841·2
1977 02 8440·4
1977 01 3440.3
1976 12 838.7
1976 11 1539·4
1976 10 7240.2
1976 09 3339.9
1976 08 3842·3
1976 07 9236·9
1976 06 6442·5
1976 05 1539·8
1976 04 5140.2
1976 03 9737.7
1976 02 9837.2
1976 01 5037·5
1975 12 4738.0
1975 11 6036·7
1975 10 3740·0
1975 09 3239.9
1975 08 5242.6
1975 07 3935.9
1975 06 7038·3
1975 05 7938·8
1975 04 1540·6
1975 03 1641.2
1975 02 838.6
1975 01 3643.0
1974 12 1339·5
1974 11 9639.9
1974 10 9135.5
1974 09 7334·5
1974 08 4632.1
1974 07 1339·3
1974 06 8034·2
1974 05 8333.1
1974 04 3832.0
1974 03 2135·5
1974 02 6332.5
1974 01 8531·7
1973 12 4131.0
1973 11 330.1
1973 10 5529·2
1973 09 2434·0
1973 08 3029·9
1973 07 6633.7
1973 06 9132.1
1973 05 6832.2
1973 04 633.3
1973 03 4030·2
1973 02 3731·7
1973 01 1231.2
1972 12 9336.3
1972 11 8436·7
1972 10 7835.9
1972 09 7633.4
1972 08 4234·7
1972 07 7833.1
1972 06 2832·3
1972 05 233·3
1972 04 2835·2
1972 03 2936·8
1972 02 2641·1
1972 01 6137.1
|
|
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 |
|