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Link to Series in Level 0 Subscription Site
2002 12 159·4
2002 11 319·6
2002 10 919·6
2002 09 969·7
2002 08 769.7
2002 07 579.9
2002 06 719.6
2002 05 789·3
2002 04 229.4
2002 03 09.1
2002 02 709·6
2002 01 789·4
2001 12 39·3
2001 11 429.4
2001 10 39.6
2001 09 399·6
2001 08 969·7
2001 07 899·3
2001 06 69·2
2001 05 319.1
2001 04 09.2
2001 03 749.1
2001 02 429·2
2001 01 479·3
2000 12 409·3
2000 11 529·2
2000 10 999·3
2000 09 89.3
2000 08 689.1
2000 07 69.1
2000 06 908.9
2000 05 569.2
2000 04 579·4
2000 03 429·0
2000 02 549·0
2000 01 628·8
1999 12 108·8
1999 11 918.6
1999 10 528·5
1999 09 208·6
1999 08 518·8
1999 07 118.8
1999 06 738.8
1999 05 488·6
1999 04 318.7
1999 03 838.8
1999 02 308.5
1999 01 908.4
1998 12 248·5
1998 11 138·5
1998 10 608·4
1998 09 168·1
1998 08 328·3
1998 07 348·3
1998 06 278·2
1998 05 218·4
1998 04 808·2
1998 03 28·5
1998 02 188.3
1998 01 228·5
1997 12 188.7
1997 11 988·4
1997 10 477.8
1997 09 658·1
1997 08 218.0
1997 07 298.1
1997 06 508.2
1997 05 188.3
1997 04 908·3
1997 03 278·4
1997 02 928·4
1997 01 758·6
1996 12 518·4
1996 11 498·2
1996 10 598·1
1996 09 578·1
1996 08 538.2
1996 07 768.3
1996 06 668.3
1996 05 68·2
1996 04 738.4
1996 03 148.2
1996 02 488.5
1996 01 928.0
1995 12 108·3
1995 11 968·5
1995 10 718·7
1995 09 98·9
1995 08 908·8
1995 07 788·7
1995 06 218·4
1995 05 768.6
1995 04 638.4
1995 03 428.3
1995 02 118.3
1995 01 388.4
1994 12 58.4
1994 11 948.9
1994 10 808.6
1994 09 638·8
1994 08 168·8
1994 07 668·7
1994 06 909·0
1994 05 458.9
1994 04 228.4
1994 03 148.7
1994 02 299.2
1994 01 59.2
1993 12 728.2
1993 11 218.1
1993 10 98.1
1993 09 867·8
1993 08 438.1
1993 07 938.0
1993 06 707·9
1993 05 567.8
1993 04 347.6
1993 03 617·7
1993 02 737.7
1993 01 117.6
1992 12 718.0
1992 11 827.9
1992 10 77.9
1992 09 697.7
1992 08 57.7
1992 07 387.8
1992 06 847.8
1992 05 757·8
1992 04 108.0
1992 03 368·0
1992 02 438·0
1992 01 978·2
1991 12 888·1
1991 11 68·0
1991 10 468·1
1991 09 308·2
1991 08 638.1
1991 07 68·2
1991 06 818.2
1991 05 938·3
1991 04 868.4
1991 03 188·5
1991 02 618·7
1991 01 308·2
1990 12 338.2
1990 11 488.3
1990 10 248.3
1990 09 108·4
1990 08 38.4
1990 07 278.3
1990 06 338·7
1990 05 288·5
1990 04 238.4
1990 03 138.2
1990 02 768·2
1990 01 28.2
1989 12 428·2
1989 11 868·1
1989 10 658·1
1989 09 768·2
1989 08 368·1
1989 07 548.2
1989 06 398.0
1989 05 218.5
1989 04 57·9
1989 03 488.0
1989 02 607.9
1989 01 298·0
1988 12 757.9
1988 11 258.5
1988 10 177.8
1988 09 207.5
1988 08 967·4
1988 07 677·3
1988 06 217·5
1988 05 397.4
1988 04 447·8
1988 03 807·7
1988 02 127.7
1988 01 547.7
1987 12 187·4
1987 11 957.3
1987 10 527.3
1987 09 597·2
1987 08 457·5
1987 07 707·6
1987 06 287·2
1987 05 747·0
1987 04 756·8
1987 03 867·2
1987 02 547·1
1987 01 437.2
1986 12 827.0
1986 11 507.2
1986 10 687·2
1986 09 347·4
1986 08 687·5
1986 07 937.5
1986 06 337.4
1986 05 437.3
1986 04 587.1
1986 03 726·9
1986 02 357·0
1986 01 877·1
1985 12 27.0
1985 11 686·9
1985 10 907.0
1985 09 126·8
1985 08 766.8
1985 07 897.0
1985 06 337.0
1985 05 877.1
1985 04 797·2
1985 03 657·2
1985 02 287.2
1985 01 57·1
1984 12 387.4
1984 11 557.3
1984 10 647.4
1984 09 867.2
1984 08 37·2
1984 07 387.0
1984 06 526·9
1984 05 737·2
1984 04 497·3
1984 03 227·2
1984 02 317·3
1984 01 377.4
1983 12 777.5
1983 11 397.5
1983 10 637·7
1983 09 717·9
1983 08 117·5
1983 07 457·2
1983 06 377.3
1983 05 947·6
1983 04 37·5
1983 03 217.6
1983 02 667.6
1983 01 507.5
1982 12 287.5
1982 11 757·5
1982 10 877.6
1982 09 97·9
1982 08 867.7
1982 07 387.8
1982 06 637·7
1982 05 657.9
1982 04 27·5
1982 03 667·5
1982 02 827·5
1982 01 377·6
1981 12 277.6
1981 11 427·7
1981 10 577·5
1981 09 687.7
1981 08 377.8
1981 07 727·9
1981 06 267.9
1981 05 297.7
1981 04 317.8
1981 03 877·9
1981 02 527.7
1981 01 137·5
1980 12 367.5
1980 11 447·8
1980 10 237·7
1980 09 397·8
1980 08 08·0
1980 07 267.8
1980 06 517·8
1980 05 527.8
1980 04 17.8
1980 03 387.8
1980 02 747.9
1980 01 218·2
1979 12 388.0
1979 11 128.0
1979 10 568·0
1979 09 407.7
1979 08 378.0
1979 07 57·7
1979 06 848·0
1979 05 278·0
1979 04 478.2
1979 03 988·2
1979 02 718.2
1979 01 288.0
1978 12 458·0
1978 11 987.8
1978 10 557.5
1978 09 107·9
1978 08 318·0
1978 07 378·2
1978 06 998·2
1978 05 708·1
1978 04 308.2
1978 03 717·9
1978 02 917.9
1978 01 258·1
1977 12 937·9
1977 11 837.9
1977 10 447·7
1977 09 197·9
1977 08 957·5
1977 07 787·3
1977 06 957·4
1977 05 227·7
1977 04 368.2
1977 03 887·9
1977 02 77.8
1977 01 297.4
1976 12 427·9
1976 11 707.8
1976 10 697·8
1976 09 577.8
1976 08 637.7
1976 07 67·5
1976 06 937.6
1976 05 527.8
1976 04 757.6
1976 03 17.9
1976 02 178.1
1976 01 828.0
1975 12 777·7
1975 11 897.9
1975 10 57.9
1975 09 417.7
1975 08 967·7
1975 07 258·0
1975 06 438.0
1975 05 497.8
1975 04 828.0
1975 03 917·7
1975 02 457.6
1975 01 507.7
1974 12 97.7
1974 11 947.6
1974 10 487·8
1974 09 137·9
1974 08 808·0
1974 07 667.9
1974 06 177.9
1974 05 327·9
1974 04 187·9
1974 03 627.8
1974 02 378.0
1974 01 268.1
1973 12 748·3
1973 11 658·6
1973 10 238.5
1973 09 408.7
1973 08 248·9
1973 07 828.8
1973 06 138·7
1973 05 428·7
1973 04 698·8
1973 03 438·4
1973 02 688·6
1973 01 278.4
1972 12 328·7
1972 11 68·8
1972 10 789·2
1972 09 139.1
1972 08 669.0
1972 07 528.9
1972 06 548·9
1972 05 468·9
1972 04 458.9
1972 03 889·2
1972 02 359·2
1972 01 939·0
1971 12 699·2
1971 11 469.0
1971 10 849·0
1971 09 508.9
1971 08 659·1
1971 07 819.2
1971 06 898·9
1971 05 359·1
1971 04 819·0
1971 03 779·1
1971 02 629.1
1971 01 939·7
1970 12 959.4
1970 11 399·2
1970 10 419.3
1970 09 929·3
1970 08 69·3
1970 07 999·2
1970 06 909·3
1970 05 279.1
1970 04 399.5
1970 03 149.9
1970 02 969.5
1970 01 179·5
1969 12 469·2
1969 11 659·5
1969 10 729.4
1969 09 69.6
1969 08 19·7
1969 07 599.6
1969 06 559.9
1969 05 6310.0
1969 04 410·1
1969 03 2810.0
1969 02 109·6
1969 01 839.4
1968 12 829·5
1968 11 289.5
1968 10 239·6
1968 09 839·3
1968 08 849·0
1968 07 419.4
1968 06 89·3
1968 05 109.7
1968 04 869·0
1968 03 739·1
1968 02 39.2
1968 01 319.2
1967 12 899.4
1967 11 579·5
1967 10 709.4
1967 09 429·3
1967 08 179.0
1967 07 489.3
1967 06 979.3
1967 05 609·0
1967 04 219.2
1967 03 299.2
1967 02 979.6
1967 01 309·8
1966 12 779.2
1966 11 79.7
1966 10 99.2
1966 09 229.3
1966 08 859.3
1966 07 128.8
1966 06 949·0
1966 05 299.2
1966 04 709·5
1966 03 19.8
1966 02 419·6
1966 01 719.8
1965 12 839.5
1965 11 569·5
1965 10 639·5
1965 09 929.7
1965 08 989.7
1965 07 849.8
1965 06 989·7
1965 05 609.8
1965 04 179·9
1965 03 179.8
1965 02 89.7
1965 01 719.7
1964 12 659.7
1964 11 109·4
1964 10 819.3
1964 09 429·2
1964 08 939.6
1964 07 4610.1
1964 06 319·9
1964 05 1910·4
1964 04 7510·2
1964 03 3110·0
1964 02 959·8
1964 01 719·5
1963 12 119.5
1963 11 979.3
1963 10 369·6
1963 09 919·7
1963 08 299.8
1963 07 19·5
1963 06 429.6
1963 05 989.1
1963 04 778.9
1963 03 249·0
1963 02 268·9
1963 01 388.9
1962 12 319·0
1962 11 729.4
1962 10 269·5
1962 09 799·9
1962 08 929·4
1962 07 788.7
1962 06 49.2
1962 05 149.6
1962 04 859.6
1962 03 9910.1
1962 02 4910·1
1962 01 6410·1
1961 12 6010·0
1961 11 159.3
1961 10 739.8
1961 09 739.6
1961 08 939.9
1961 07 3310.3
1961 06 1510·5
1961 05 910·1
1961 04 8410.2
1961 03 8510.5
1961 02 3711.2
1961 01 6711·6
1960 12 5811.8
1960 11 2811·6
1960 10 2710.3
1960 09 6510·8
1960 08 6710·5
1960 07 4310·3
1960 06 9810.5
1960 05 4910·6
1960 04 8410·1
1960 03 379.6
1960 02 879·7
1960 01 869·6
1959 12 129.8
1959 11 429·7
1959 10 5910.2
1959 09 7210.2
1959 08 7410.4
1959 07 1410·2
1959 06 010.0
1959 05 2610.0
1959 04 229.7
1959 03 359·8
1959 02 249·5
1959 01 919·4
1958 12 319.3
1958 11 119.7
1958 10 689.7
1958 09 369·6
1958 08 29.8
1958 07 759.8
1958 06 9510·0
1958 05 5710·1
1958 04 5810·3
1958 03 8210.6
1958 02 9410.1
1958 01 7110.1
1957 12 529.8
1957 11 159·4
1957 10 779.5
1957 09 249.9
1957 08 589·9
1957 07 8010·2
1957 06 8210·3
1957 05 849·8
1957 04 7810.4
1957 03 811.0
1957 02 7210·5
1957 01 4510·5
1956 12 3510.7
1956 11 5711·0
1956 10 3410.1
1956 09 2710·8
1956 08 8110·4
1956 07 710·8
1956 06 8210.6
1956 05 7311·0
1956 04 9110·6
1956 03 6710.4
1956 02 549·7
1956 01 5311·1
1955 12 6511·3
1955 11 6711.3
1955 10 1211.1
1955 09 6110.3
1955 08 2910.1
1955 07 639·7
1955 06 459·8
1955 05 1710·2
1955 04 3310.7
1955 03 3810·0
1955 02 6510·0
1955 01 639.7
1954 12 539.6
1954 11 989.0
1954 10 109.7
1954 09 709·2
1954 08 899.6
1954 07 769.3
1954 06 438.7
1954 05 328.7
1954 04 668·7
1954 03 268.8
1954 02 518.6
1954 01 678.5
1953 12 358·4
1953 11 328.2
1953 10 499.5
1953 09 2010·0
1953 08 7112·1
1953 07 9910.9
1953 06 7310·6
1953 05 609.5
1953 04 749·0
1953 03 609·7
1953 02 879·9
1953 01 8110·5
1952 12 7110·2
1952 11 7110.3
1952 10 799.6
1952 09 29.3
1952 08 108·7
1952 07 148.7
1952 06 608.9
1952 05 678.9
1952 04 698·0
1952 03 947.8
1952 02 718·0
1952 01 468.6
1951 12 468·1
1951 11 458.0
1951 10 727·8
1951 09 338.4
1951 08 688.4
1951 07 238.2
1951 06 528·4
1951 05 478·7
1951 04 859·1
1951 03 89.7
1951 02 249·3
1951 01 319.1
1950 12 729.6
1950 11 99·6
1950 10 269·5
1950 09 569.2
1950 08 299·6
1950 07 569.7
1950 06 219.6
1950 05 148·5
1950 04 839·5
1950 03 69·5
1950 02 969.3
1950 01 269·0
1949 12 839.3
1949 11 419·6
1949 10 659.9
1949 09 369.7
1949 08 59.3
1949 07 678.8
1949 06 658·7
1949 05 128.9
1949 04 498.8
1949 03 178·5
1949 02 599.6
1949 01 499·1
1948 12 419·2
1948 11 468.8
1948 10 368·6
1948 09 668.9
1948 08 309·2
1948 07 379·5
1948 06 79.5
1948 05 79·3
1948 04 939·3
1948 03 958.7
1948 02 127·9
1948 01 417.8
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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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