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2002 12 899.9
2002 11 989·9
2002 10 2510·2
2002 09 7310.2
2002 08 6910.2
2002 07 4210.1
2002 06 2410·0
2002 05 749.6
2002 04 349.8
2002 03 49.4
2002 02 4210·0
2002 01 929·7
2001 12 359.8
2001 11 659·6
2001 10 939.9
2001 09 7210.0
2001 08 4610·0
2001 07 319.7
2001 06 159·5
2001 05 829·3
2001 04 689·4
2001 03 349·3
2001 02 709·5
2001 01 179.5
2000 12 279·5
2000 11 329.4
2000 10 469·5
2000 09 979·5
2000 08 749.3
2000 07 49.3
2000 06 569·2
2000 05 649.5
2000 04 829·6
2000 03 599.3
2000 02 389·3
2000 01 899.1
1999 12 549.1
1999 11 278.9
1999 10 558.8
1999 09 658·8
1999 08 139·0
1999 07 669.0
1999 06 959·2
1999 05 128·8
1999 04 129.0
1999 03 569.1
1999 02 718·9
1999 01 738.7
1998 12 249.0
1998 11 58·8
1998 10 208.7
1998 09 188·4
1998 08 518.6
1998 07 458·5
1998 06 58·5
1998 05 418·6
1998 04 178.4
1998 03 318·8
1998 02 158.5
1998 01 618.7
1997 12 748·9
1997 11 468·6
1997 10 628.1
1997 09 238·4
1997 08 968·3
1997 07 968.4
1997 06 858.6
1997 05 948·6
1997 04 848.6
1997 03 138.7
1997 02 458·8
1997 01 718.9
1996 12 638·8
1996 11 548.6
1996 10 318.5
1996 09 718.5
1996 08 858·5
1996 07 998·6
1996 06 568·6
1996 05 388.6
1996 04 238.7
1996 03 578·5
1996 02 588·9
1996 01 438·4
1995 12 798·5
1995 11 578.8
1995 10 999.0
1995 09 799.2
1995 08 779·1
1995 07 589.1
1995 06 688.7
1995 05 659·0
1995 04 698.6
1995 03 408·7
1995 02 778·6
1995 01 458·7
1994 12 308.6
1994 11 119·3
1994 10 649·0
1994 09 899·2
1994 08 609·2
1994 07 29.1
1994 06 939·4
1994 05 919.3
1994 04 848.8
1994 03 699·0
1994 02 509·5
1994 01 699·6
1993 12 538.5
1993 11 948.4
1993 10 508.3
1993 09 688·0
1993 08 428.4
1993 07 858.2
1993 06 298·2
1993 05 588.0
1993 04 527·9
1993 03 727·9
1993 02 518·1
1993 01 317.9
1992 12 88·3
1992 11 128.3
1992 10 48.3
1992 09 88.0
1992 08 618·1
1992 07 868.3
1992 06 08.2
1992 05 328.2
1992 04 858·4
1992 03 38.4
1992 02 778·3
1992 01 738·5
1991 12 818.4
1991 11 928.3
1991 10 998·4
1991 09 258·5
1991 08 758·3
1991 07 118·5
1991 06 538·6
1991 05 78.6
1991 04 178.6
1991 03 418.8
1991 02 528·9
1991 01 638.5
1990 12 838.5
1990 11 908·6
1990 10 348·5
1990 09 628.7
1990 08 728.7
1990 07 888·6
1990 06 618.9
1990 05 988.7
1990 04 108.7
1990 03 928.6
1990 02 238.5
1990 01 918·5
1989 12 488·5
1989 11 848·3
1989 10 318·4
1989 09 848·5
1989 08 618.3
1989 07 718·4
1989 06 238·3
1989 05 478·7
1989 04 498·2
1989 03 848.2
1989 02 638·1
1989 01 748.2
1988 12 388.2
1988 11 808.8
1988 10 387·9
1988 09 847·7
1988 08 777·7
1988 07 407.5
1988 06 627·7
1988 05 227.7
1988 04 448.0
1988 03 727·9
1988 02 717.9
1988 01 557.9
1987 12 377.6
1987 11 67.5
1987 10 307.5
1987 09 797·5
1987 08 837.7
1987 07 07·7
1987 06 257·4
1987 05 137.2
1987 04 316.9
1987 03 347·4
1987 02 707·3
1987 01 07.4
1986 12 577·2
1986 11 177.4
1986 10 37·3
1986 09 117·7
1986 08 627·7
1986 07 787.7
1986 06 867.6
1986 05 387·4
1986 04 707·3
1986 03 767.2
1986 02 77.2
1986 01 17.3
1985 12 337.3
1985 11 917.1
1985 10 807.2
1985 09 457.0
1985 08 257·1
1985 07 317·3
1985 06 427·3
1985 05 387·3
1985 04 487.5
1985 03 267.4
1985 02 567·4
1985 01 757.4
1984 12 267.6
1984 11 347·6
1984 10 107·7
1984 09 747·5
1984 08 97·5
1984 07 367·3
1984 06 177.3
1984 05 817.5
1984 04 747·6
1984 03 397.5
1984 02 157.6
1984 01 637·7
1983 12 207·8
1983 11 757.8
1983 10 667.9
1983 09 168.3
1983 08 747·7
1983 07 997·5
1983 06 597·6
1983 05 587·9
1983 04 847.8
1983 03 947.8
1983 02 77.9
1983 01 337.8
1982 12 287·8
1982 11 677·7
1982 10 467·8
1982 09 118·1
1982 08 48·0
1982 07 488.0
1982 06 418·0
1982 05 858.3
1982 04 407.8
1982 03 967.7
1982 02 797·7
1982 01 757·8
1981 12 847·8
1981 11 908·0
1981 10 737.8
1981 09 267.9
1981 08 128.0
1981 07 398·1
1981 06 618·2
1981 05 58·1
1981 04 258·1
1981 03 738.2
1981 02 58·0
1981 01 87.8
1980 12 487.8
1980 11 498·0
1980 10 948·0
1980 09 538·0
1980 08 328·2
1980 07 498·1
1980 06 418·0
1980 05 858·1
1980 04 518.0
1980 03 808·1
1980 02 838·2
1980 01 728.5
1979 12 78.3
1979 11 738·2
1979 10 848.2
1979 09 108·0
1979 08 248.3
1979 07 848.0
1979 06 318.3
1979 05 168.3
1979 04 548.4
1979 03 968.5
1979 02 378·5
1979 01 358·3
1978 12 708·3
1978 11 158·1
1978 10 407·8
1978 09 378·2
1978 08 758·2
1978 07 738·5
1978 06 28·6
1978 05 158.5
1978 04 938.5
1978 03 268.2
1978 02 138.2
1978 01 898.4
1977 12 748·3
1977 11 568.3
1977 10 848·1
1977 09 28·2
1977 08 957·9
1977 07 707·7
1977 06 547·8
1977 05 248·1
1977 04 558·6
1977 03 998·3
1977 02 858.2
1977 01 497.7
1976 12 798·3
1976 11 998.2
1976 10 668·2
1976 09 968·2
1976 08 198·1
1976 07 548.1
1976 06 98.0
1976 05 98.2
1976 04 508.0
1976 03 688·3
1976 02 528·5
1976 01 588·5
1975 12 718.3
1975 11 758.3
1975 10 588.3
1975 09 368.0
1975 08 88.1
1975 07 308.4
1975 06 158·4
1975 05 638·4
1975 04 138·4
1975 03 158.1
1975 02 358·0
1975 01 838.1
1974 12 597·9
1974 11 367.9
1974 10 588.1
1974 09 658.2
1974 08 488.3
1974 07 278·2
1974 06 458·2
1974 05 28.2
1974 04 58·1
1974 03 428·2
1974 02 848·3
1974 01 158.4
1973 12 808·6
1973 11 648.8
1973 10 898·6
1973 09 488·9
1973 08 499·2
1973 07 999·0
1973 06 979.1
1973 05 698.9
1973 04 129·0
1973 03 798.7
1973 02 718.9
1973 01 728.7
1972 12 959.0
1972 11 619·1
1972 10 999.6
1972 09 779.4
1972 08 479.5
1972 07 259.3
1972 06 959.3
1972 05 299·3
1972 04 459·2
1972 03 809·5
1972 02 959.4
1972 01 959·2
1971 12 889.8
1971 11 579.4
1971 10 629·4
1971 09 709.2
1971 08 29.4
1971 07 119.5
1971 06 869·2
1971 05 749.5
1971 04 389.4
1971 03 259·4
1971 02 779.4
1971 01 5010·1
1970 12 709·7
1970 11 69·6
1970 10 769·5
1970 09 689.6
1970 08 09·6
1970 07 859·6
1970 06 439·5
1970 05 229·6
1970 04 529·7
1970 03 1810.2
1970 02 689.8
1970 01 319.7
1969 12 779·4
1969 11 889.6
1969 10 629.7
1969 09 399·8
1969 08 519.8
1969 07 19·8
1969 06 6510.1
1969 05 1410·2
1969 04 7310.3
1969 03 8810.3
1969 02 389.9
1969 01 539·7
1968 12 699·8
1968 11 79·8
1968 10 709.8
1968 09 729·5
1968 08 909·2
1968 07 399·6
1968 06 749.6
1968 05 189.8
1968 04 119·3
1968 03 909.4
1968 02 879·6
1968 01 589·4
1967 12 339.5
1967 11 939·7
1967 10 739·7
1967 09 879·6
1967 08 799·3
1967 07 39.5
1967 06 199·5
1967 05 249.4
1967 04 39.4
1967 03 39.4
1967 02 389.7
1967 01 1310.2
1966 12 779·5
1966 11 999.9
1966 10 689.4
1966 09 249.6
1966 08 49·6
1966 07 229.0
1966 06 729.3
1966 05 509.4
1966 04 79.7
1966 03 3010.1
1966 02 389·9
1966 01 1010.1
1965 12 399·8
1965 11 59·8
1965 10 799·7
1965 09 509·8
1965 08 739·9
1965 07 5110.2
1965 06 3210·0
1965 05 3710·2
1965 04 1110·2
1965 03 310·2
1965 02 619·9
1965 01 6610·0
1964 12 789.9
1964 11 159.7
1964 10 539.8
1964 09 569.5
1964 08 249·9
1964 07 6910·4
1964 06 2210.3
1964 05 5210.7
1964 04 2410·5
1964 03 7310.2
1964 02 510·3
1964 01 229.8
1963 12 809·8
1963 11 589·7
1963 10 6410.0
1963 09 6110.0
1963 08 1610.0
1963 07 819.7
1963 06 899·9
1963 05 879·3
1963 04 839.1
1963 03 229·2
1963 02 929.2
1963 01 469.3
1962 12 569·4
1962 11 909.7
1962 10 1010·0
1962 09 510.3
1962 08 359·9
1962 07 149.1
1962 06 79·7
1962 05 6010.1
1962 04 4710·0
1962 03 5310.4
1962 02 7110.5
1962 01 2810·5
1961 12 4110.3
1961 11 889.6
1961 10 1410.2
1961 09 5610.1
1961 08 9310·4
1961 07 2510.7
1961 06 7411.0
1961 05 1010·5
1961 04 210.7
1961 03 9611·0
1961 02 1511.5
1961 01 8712·1
1960 12 9612·1
1960 11 5811·9
1960 10 2310.6
1960 09 410·9
1960 08 2310.8
1960 07 9210.5
1960 06 1310.7
1960 05 610.9
1960 04 5910·6
1960 03 510.0
1960 02 2210.0
1960 01 6310·0
1959 12 610.1
1959 11 2810·1
1959 10 1210.6
1959 09 6810·6
1959 08 8710.6
1959 07 1910.5
1959 06 7210.2
1959 05 4010·3
1959 04 5410·0
1959 03 5810.1
1959 02 149.7
1959 01 239.5
1958 12 819.7
1958 11 5310.0
1958 10 779·9
1958 09 8810.0
1958 08 7010.2
1958 07 3610·2
1958 06 2310·5
1958 05 2710.6
1958 04 4610·7
1958 03 6210·9
1958 02 4110·5
1958 01 6010.4
1957 12 5810.1
1957 11 139·7
1957 10 4310·0
1957 09 3110.2
1957 08 8310·2
1957 07 9710.5
1957 06 6610.7
1957 05 1010·4
1957 04 2110.7
1957 03 4411·4
1957 02 7510·8
1957 01 9010·9
1956 12 9711.1
1956 11 1111.3
1956 10 5610·3
1956 09 9110·9
1956 08 6210.7
1956 07 8111·2
1956 06 2310.9
1956 05 5611·2
1956 04 9110.8
1956 03 5910.6
1956 02 139·9
1956 01 5511·2
1955 12 8411·5
1955 11 7711.4
1955 10 9011.3
1955 09 8210.5
1955 08 6710·4
1955 07 939·9
1955 06 4210·1
1955 05 5610·4
1955 04 9011·0
1955 03 8710·3
1955 02 8010·4
1955 01 2110.0
1954 12 289·9
1954 11 669·3
1954 10 4410·0
1954 09 479.5
1954 08 839.9
1954 07 619.4
1954 06 968.9
1954 05 279.0
1954 04 799·1
1954 03 319·2
1954 02 238·8
1954 01 818·8
1953 12 668.7
1953 11 558.3
1953 10 409.7
1953 09 5210.1
1953 08 2112·2
1953 07 4111·0
1953 06 8310.7
1953 05 119·6
1953 04 439·2
1953 03 219.8
1953 02 1510·0
1953 01 5110.6
1952 12 5810·4
1952 11 5110·3
1952 10 259·6
1952 09 919.5
1952 08 179·0
1952 07 128.9
1952 06 269·1
1952 05 759·2
1952 04 948·2
1952 03 127·9
1952 02 558.2
1952 01 738·9
1951 12 908·2
1951 11 818.4
1951 10 758·3
1951 09 788·6
1951 08 308·5
1951 07 778.5
1951 06 748·8
1951 05 119·0
1951 04 669.4
1951 03 8210.0
1951 02 659.7
1951 01 149.4
1950 12 729.9
1950 11 110·0
1950 10 859·9
1950 09 579.5
1950 08 489·9
1950 07 6710.0
1950 06 9910.0
1950 05 348·9
1950 04 209.9
1950 03 369.9
1950 02 939.7
1950 01 659·2
1949 12 399·8
1949 11 899·9
1949 10 8010.3
1949 09 9410·3
1949 08 809.7
1949 07 349.3
1949 06 999.2
1949 05 889.2
1949 04 439·0
1949 03 38.7
1949 02 129.7
1949 01 449.4
1948 12 539·5
1948 11 519·1
1948 10 78·9
1948 09 809·1
1948 08 619·5
1948 07 609·7
1948 06 989·7
1948 05 399.6
1948 04 439·4
1948 03 378·9
1948 02 218.1
1948 01 927·9
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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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