Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2002 12 243·5
2002 11 963·2
2002 10 903·7
2002 09 903·1
2002 08 53.4
2002 07 433·2
2002 06 183·9
2002 05 724·2
2002 04 273·8
2002 03 642.5
2002 02 223·4
2002 01 273·9
2001 12 413.7
2001 11 405.2
2001 10 153.5
2001 09 12.1
2001 08 232·8
2001 07 782·8
2001 06 352.8
2001 05 612.0
2001 04 712·3
2001 03 93·1
2001 02 442·4
2001 01 22.9
2000 12 133·5
2000 11 903·0
2000 10 313·0
2000 09 443·6
2000 08 982.8
2000 07 33.2
2000 06 83.1
2000 05 293.4
2000 04 23·9
2000 03 543.3
2000 02 134.1
2000 01 293·3
1999 12 242.5
1999 11 752·6
1999 10 103.0
1999 09 363·3
1999 08 923.4
1999 07 233·3
1999 06 853.5
1999 05 703.4
1999 04 542.6
1999 03 792.6
1999 02 532·9
1999 01 742.6
1998 12 863·0
1998 11 503.5
1998 10 503.2
1998 09 192.5
1998 08 892.7
1998 07 673·4
1998 06 402·6
1998 05 982.8
1998 04 883·3
1998 03 883·6
1998 02 113.1
1998 01 313·0
1997 12 333·3
1997 11 932·8
1997 10 752·5
1997 09 602.9
1997 08 03.3
1997 07 902.3
1997 06 702.9
1997 05 573·2
1997 04 901·9
1997 03 93.3
1997 02 603·4
1997 01 143.8
1996 12 273·2
1996 11 92·8
1996 10 323·4
1996 09 512.5
1996 08 623.3
1996 07 703.5
1996 06 993.9
1996 05 133·7
1996 04 703·8
1996 03 992.9
1996 02 983·7
1996 01 673·8
1995 12 523·4
1995 11 274.6
1995 10 944·1
1995 09 95·5
1995 08 334·3
1995 07 124.3
1995 06 734.3
1995 05 574.4
1995 04 644·4
1995 03 353·9
1995 02 493·6
1995 01 564·3
1994 12 203.8
1994 11 24·3
1994 10 604.3
1994 09 743·3
1994 08 14.0
1994 07 455.4
1994 06 683.9
1994 05 73.9
1994 04 323.6
1994 03 224·3
1994 02 614·3
1994 01 733·6
1993 12 654·9
1993 11 133.0
1993 10 523·0
1993 09 153.3
1993 08 754.0
1993 07 242·9
1993 06 803.1
1993 05 42.6
1993 04 612.6
1993 03 894·0
1993 02 62·5
1993 01 342.7
1992 12 492·7
1992 11 632·6
1992 10 193·1
1992 09 233.0
1992 08 912.9
1992 07 283·3
1992 06 324.4
1992 05 163.7
1992 04 603·9
1992 03 913·1
1992 02 833·2
1992 01 814.1
1991 12 583·7
1991 11 833.8
1991 10 342.7
1991 09 143.5
1991 08 93.2
1991 07 613·6
1991 06 743.0
1991 05 333·3
1991 04 653·3
1991 03 73·7
1991 02 143·6
1991 01 822.8
1990 12 03·2
1990 11 273·1
1990 10 943·2
1990 09 312·7
1990 08 163.5
1990 07 532.8
1990 06 772·1
1990 05 733.1
1990 04 362·9
1990 03 412·8
1990 02 493.1
1990 01 283·0
1989 12 132.6
1989 11 743·2
1989 10 242·7
1989 09 402·7
1989 08 212·5
1989 07 572·2
1989 06 392·4
1989 05 781.9
1989 04 602.8
1989 03 231·9
1989 02 593.0
1989 01 361.5
1988 12 562.9
1988 11 282·4
1988 10 692·5
1988 09 331.8
1988 08 602.1
1988 07 542.9
1988 06 852.9
1988 05 142.7
1988 04 461·8
1988 03 72·5
1988 02 422·2
1988 01 473.2
1987 12 162.7
1987 11 192.5
1987 10 52·1
1987 09 272.6
1987 08 943·2
1987 07 472·5
1987 06 611.8
1987 05 732·4
1987 04 312.7
1987 03 723.1
1987 02 232·8
1987 01 292·4
1986 12 22·4
1986 11 12.9
1986 10 293.6
1986 09 643·5
1986 08 83.2
1986 07 653·2
1986 06 413·8
1986 05 723·4
1986 04 742.7
1986 03 223·4
1986 02 483.3
1986 01 732.8
1985 12 513·0
1985 11 533·3
1985 10 633·2
1985 09 102·7
1985 08 132·5
1985 07 643.9
1985 06 233.2
1985 05 532·8
1985 04 622·9
1985 03 873·2
1985 02 922·9
1985 01 964·0
1984 12 222.8
1984 11 793·1
1984 10 572.8
1984 09 573.1
1984 08 453.3
1984 07 212·5
1984 06 302.4
1984 05 824·4
1984 04 43.1
1984 03 212·7
1984 02 512.7
1984 01 393·1
1983 12 23.8
1983 11 93·1
1983 10 822.5
1983 09 234·3
1983 08 634.1
1983 07 434.1
1983 06 114.2
1983 05 524·5
1983 04 374·1
1983 03 33·6
1983 02 504.7
1983 01 704.5
1982 12 14.5
1982 11 974.7
1982 10 384·4
1982 09 484.3
1982 08 544.2
1982 07 573.3
1982 06 372·4
1982 05 783.5
1982 04 214·0
1982 03 383·8
1982 02 352·9
1982 01 812.8
1981 12 544·1
1981 11 232.7
1981 10 463·2
1981 09 02.4
1981 08 272.4
1981 07 183·0
1981 06 73·0
1981 05 42.7
1981 04 422·6
1981 03 552.7
1981 02 813·2
1981 01 883·0
1980 12 222·6
1980 11 903·3
1980 10 562·4
1980 09 702·9
1980 08 203·7
1980 07 64·0
1980 06 453·5
1980 05 953·2
1980 04 93.2
1980 03 82·1
1980 02 852.9
1980 01 323·5
1979 12 912·9
1979 11 282.5
1979 10 403.8
1979 09 764.1
1979 08 913.2
1979 07 243·0
1979 06 973·3
1979 05 443·5
1979 04 593.9
1979 03 763·9
1979 02 703.6
1979 01 823·3
1978 12 713·8
1978 11 923·0
1978 10 963.0
1978 09 584.2
1978 08 274·3
1978 07 34.7
1978 06 384·4
1978 05 674.9
1978 04 524·5
1978 03 654.5
1978 02 854.1
1978 01 284·5
1977 12 975·0
1977 11 605·5
1977 10 485·1
1977 09 855·2
1977 08 384·5
1977 07 954·8
1977 06 664.3
1977 05 65.1
1977 04 744.7
1977 03 25.8
1977 02 16·3
1977 01 876·0
1976 12 314·4
1976 11 375.4
1976 10 434·9
1976 09 474.8
1976 08 605·3
1976 07 824·5
1976 06 25·5
1976 05 285·2
1976 04 354·6
1976 03 435.9
1976 02 195.7
1976 01 25·7
1975 12 586·2
1975 11 525.9
1975 10 545·7
1975 09 615.1
1975 08 535.2
1975 07 665·5
1975 06 965.9
1975 05 255·6
1975 04 715·9
1975 03 674·9
1975 02 594.9
1975 01 384·3
1974 12 883.8
1974 11 603·5
1974 10 803.6
1974 09 703.2
1974 08 34.2
1974 07 783.0
1974 06 212.8
1974 05 142.9
1974 04 422.9
1974 03 772.8
1974 02 713·2
1974 01 893·2
1973 12 562·9
1973 11 393·1
1973 10 433.2
1973 09 403·7
1973 08 203·5
1973 07 714·0
1973 06 743.4
1973 05 352.7
1973 04 342.4
1973 03 42·0
1973 02 282·5
1973 01 702.9
1972 12 243·5
1972 11 953.8
1972 10 914.0
1972 09 624·1
1972 08 403·4
1972 07 253.0
1972 06 793.3
1972 05 573.6
1972 04 584.3
1972 03 13.3
1972 02 273·6
1972 01 233·1
1971 12 772.9
1971 11 553·3
1971 10 992.8
1971 09 543.0
1971 08 243.7
1971 07 443·1
1971 06 832.5
1971 05 703.5
1971 04 493·8
1971 03 493.8
1971 02 914·0
1971 01 154·2
1970 12 264.5
1970 11 763·9
1970 10 633.3
1970 09 583·1
1970 08 573.1
1970 07 573·4
1970 06 593.2
1970 05 923.1
1970 04 672.8
1970 03 503·3
1970 02 702·7
1970 01 382·5
1969 12 62·0
1969 11 352·1
1969 10 62·5
1969 09 392·5
1969 08 492.7
1969 07 202·5
1969 06 72.0
1969 05 651.9
1969 04 981.8
1969 03 352.2
1969 02 352·2
1969 01 92·3
1968 12 772.4
1968 11 382.4
1968 10 782.4
1968 09 912·7
1968 08 362·6
1968 07 102·8
1968 06 483.4
1968 05 553.3
1968 04 523.5
1968 03 583.1
1968 02 852·6
1968 01 703.0
1967 12 253.0
1967 11 133.0
1967 10 503.1
1967 09 302·5
1967 08 792.6
1967 07 322·4
1967 06 312·8
1967 05 542·9
1967 04 663·5
1967 03 982·7
1967 02 422·7
1967 01 872·7
1966 12 613·2
1966 11 152·9
1966 10 203·1
1966 09 973.5
1966 08 643·4
1966 07 174·0
1966 06 293·2
1966 05 792·8
1966 04 02.9
1966 03 592.9
1966 02 563.0
1966 01 522.7
1965 12 202.7
1965 11 233.4
1965 10 133·2
1965 09 593·3
1965 08 03·5
1965 07 173.8
1965 06 403.6
1965 05 713·5
1965 04 394.1
1965 03 713·8
1965 02 983·6
1965 01 813·3
1964 12 632·9
1964 11 423·1
1964 10 763·5
1964 09 94·3
1964 08 234.5
1964 07 123·9
1964 06 864·0
1964 05 984·2
1964 04 934.1
1964 03 874·5
1964 02 674·6
1964 01 184.0
1963 12 754.3
1963 11 04·4
1963 10 814.1
1963 09 633·9
1963 08 944.6
1963 07 63·7
1963 06 174·0
1963 05 516.0
1963 04 994·6
1963 03 885·0
1963 02 864.8
1963 01 285·0
1962 12 675·2
1962 11 525·2
1962 10 284.9
1962 09 624.6
1962 08 984.4
1962 07 303·2
1962 06 44·7
1962 05 485·1
1962 04 174·5
1962 03 784·0
1962 02 44·5
1962 01 44·9
1961 12 754·9
1961 11 784·8
1961 10 386.3
1961 09 746·1
1961 08 476.0
1961 07 375.8
1961 06 475.7
1961 05 296·1
1961 04 335·7
1961 03 854.9
1961 02 924.8
1961 01 615·0
1960 12 584.9
1960 11 814·2
1960 10 614.1
1960 09 913·9
1960 08 744.0
1960 07 64·1
1960 06 684·4
1960 05 623·5
1960 04 564·1
1960 03 654.4
1960 02 494.4
1960 01 434·1
1959 12 34·1
1959 11 914·9
1959 10 694.0
1959 09 284.5
1959 08 424·2
1959 07 414·9
1959 06 154.9
1959 05 385.0
1959 04 234·8
1959 03 964·7
1959 02 995.6
1959 01 155.8
1958 12 205.9
1958 11 635·8
1958 10 607·3
1958 09 296·2
1958 08 366·1
1958 07 735·2
1958 06 614·6
1958 05 744.7
1958 04 945·1
1958 03 834.8
1958 02 894.1
1958 01 704.0
1957 12 453.9
1957 11 753·5
1957 10 573.4
1957 09 593.6
1957 08 652.8
1957 07 553·5
1957 06 43·2
1957 05 133·2
1957 04 543.2
1957 03 553.3
1957 02 923.3
1957 01 233.3
1956 12 383·1
1956 11 313.5
1956 10 93.3
1956 09 112.9
1956 08 663.6
1956 07 663.7
1956 06 683.9
1956 05 204·1
1956 04 153·1
1956 03 662·9
1956 02 64.1
1956 01 193·4
1955 12 845.1
1955 11 624·5
1955 10 884·7
1955 09 13·9
1955 08 03.7
1955 07 122.7
1955 06 03·6
1955 05 883·7
1955 04 123·7
1955 03 963.8
1955 02 553.7
1955 01 215·1
1954 12 954.4
1954 11 215.0
1954 10 924.8
1954 09 723.9
1954 08 515.7
1954 07 205.3
1954 06 734.6
1954 05 334.6
1954 04 44.8
1954 03 484.3
1954 02 863.4
1954 01 243·4
1953 12 63.3
1953 11 882·4
1953 10 452.0
1953 09 892·4
1953 08 301·4
1953 07 462.6
1953 06 862.3
1953 05 981·5
1953 04 792·3
1953 03 532.5
1953 02 732·6
1953 01 432·6
1952 12 772·2
1952 11 672.3
1952 10 943.2
1952 09 453·6
1952 08 743·7
1952 07 692.9
1952 06 612·8
1952 05 483.4
1952 04 464·0
1952 03 653.0
1952 02 133·2
1952 01 211·9
1951 12 932.9
1951 11 873·3
1951 10 123.6
1951 09 573.0
1951 08 412.5
1951 07 932·3
1951 06 474·0
1951 05 773·2
1951 04 413.3
1951 03 624.3
1951 02 304.3
1951 01 234·6
1950 12 664.5
1950 11 34.7
1950 10 994.6
1950 09 664·4
1950 08 194·5
1950 07 475.1
1950 06 165·4
1950 05 04·6
1950 04 244.8
1950 03 504·4
1950 02 714·9
1950 01 435.1
1949 12 325·1
1949 11 945.2
1949 10 754·9
1949 09 395.5
1949 08 176·2
1949 07 856·5
1949 06 675·4
1949 05 595·4
1949 04 815.0
1949 03 574.7
1949 02 104·3
1949 01 963·8
1948 12 495·0
1948 11 643.7
1948 10 913.5
1948 09 683.4
1948 08 713·3
1948 07 883.0
1948 06 233.0
1948 05 223.4
1948 04 233.0
1948 03 373·5
1948 02 443·0
1948 01 243·3
|
|

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 |
|