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2002 12 9266·2
2002 11 5866·4
2002 10 8467.4
2002 09 2167.2
2002 08 4866.4
2002 07 4166·7
2002 06 8466.3
2002 05 8566.1
2002 04 3865.4
2002 03 9165·1
2002 02 5365·6
2002 01 1765·9
2001 12 1466.0
2001 11 9066.1
2001 10 565.7
2001 09 6065.9
2001 08 5265·8
2001 07 4565·9
2001 06 7765·9
2001 05 8466·1
2001 04 5066·2
2001 03 8665·7
2001 02 3365.6
2001 01 8265.7
2000 12 3565.3
2000 11 7265.0
2000 10 6065·4
2000 09 7565·9
2000 08 5765·9
2000 07 8365·7
2000 06 7165.6
2000 05 665.5
2000 04 9165.5
2000 03 2565·6
2000 02 466·4
2000 01 4466.0
1999 12 3865.9
1999 11 3265.8
1999 10 2165·6
1999 09 8366·1
1999 08 2466·3
1999 07 5966.3
1999 06 1266.4
1999 05 4365·7
1999 04 9866·3
1999 03 8866·6
1999 02 8866·0
1999 01 6766.0
1998 12 3666·2
1998 11 2566.1
1998 10 8866·9
1998 09 2666.4
1998 08 3866·1
1998 07 366.5
1998 06 7566·6
1998 05 1266·9
1998 04 3165.7
1998 03 7865·5
1998 02 3565.9
1998 01 4665·8
1997 12 6365.7
1997 11 3166.4
1997 10 8365.6
1997 09 7065·5
1997 08 1165·7
1997 07 6965·2
1997 06 5665.1
1997 05 5565.8
1997 04 7565·7
1997 03 2565·6
1997 02 1764·8
1997 01 9564·9
1996 12 8064.6
1996 11 5364·6
1996 10 5464.8
1996 09 864·6
1996 08 7765.0
1996 07 3764·9
1996 06 8065·5
1996 05 3965·1
1996 04 4164.9
1996 03 8364·4
1996 02 3364·2
1996 01 5764·0
1995 12 7364·0
1995 11 2264·2
1995 10 7564·5
1995 09 5664·2
1995 08 9763·4
1995 07 1163·8
1995 06 9462.6
1995 05 5662.9
1995 04 6563·1
1995 03 3163·4
1995 02 463.4
1995 01 9964.0
1994 12 5164·7
1994 11 9064·0
1994 10 4263.4
1994 09 5663·2
1994 08 5762·6
1994 07 1962·0
1994 06 7261.7
1994 05 2161·7
1994 04 761·2
1994 03 7561.5
1994 02 8062·2
1994 01 1363.1
1993 12 5262.1
1993 11 3962·0
1993 10 8062.5
1993 09 7562·3
1993 08 6763·0
1993 07 1762.4
1993 06 1063·9
1993 05 7864·0
1993 04 5363.9
1993 03 4264.0
1993 02 3364.3
1993 01 1562·9
1992 12 3462·4
1992 11 7162.1
1992 10 3662.0
1992 09 562.6
1992 08 6362·8
1992 07 8463·5
1992 06 3363.3
1992 05 9364.4
1992 04 1363.9
1992 03 8863·6
1992 02 6163.7
1992 01 4763·6
1991 12 8563.1
1991 11 1663.7
1991 10 8463·7
1991 09 6263·9
1991 08 563·5
1991 07 2363·6
1991 06 8963.7
1991 05 5763·7
1991 04 2264·0
1991 03 9264·2
1991 02 8864·6
1991 01 7665.0
1990 12 1465·7
1990 11 2965.5
1990 10 2165.5
1990 09 8865.6
1990 08 7865·7
1990 07 6565·2
1990 06 4965.2
1990 05 8865.2
1990 04 4264·7
1990 03 5764·9
1990 02 6264.9
1990 01 9465·0
1989 12 5664·6
1989 11 8864·9
1989 10 7064·7
1989 09 5164·7
1989 08 9564.5
1989 07 6365.3
1989 06 1465·6
1989 05 2764.9
1989 04 5865.3
1989 03 1465·2
1989 02 5464.7
1989 01 1764.7
1988 12 7364.5
1988 11 9963·9
1988 10 8064·4
1988 09 4164.5
1988 08 8964.9
1988 07 9764·6
1988 06 564.4
1988 05 4164·7
1988 04 8165·1
1988 03 1764·8
1988 02 6565·2
1988 01 8864.9
1987 12 5065.4
1987 11 8965·1
1987 10 2465·1
1987 09 7564.9
1987 08 2164.3
1987 07 7165.0
1987 06 7064.9
1987 05 2265.4
1987 04 4565.1
1987 03 4465·5
1987 02 1665·1
1987 01 7365·3
1986 12 9765.0
1986 11 1564.7
1986 10 9964.5
1986 09 9764.3
1986 08 7864·2
1986 07 1564·4
1986 06 8364.6
1986 05 8764·9
1986 04 1264.3
1986 03 164·0
1986 02 5663·2
1986 01 6464.3
1985 12 5164.3
1985 11 5464.8
1985 10 2965.1
1985 09 7165·0
1985 08 6965·3
1985 07 8265·0
1985 06 4265·2
1985 05 7764·6
1985 04 6765.2
1985 03 1665.6
1985 02 5764·9
1985 01 7764.9
1984 12 7165.5
1984 11 1264.9
1984 10 6264·7
1984 09 9065·3
1984 08 3065.3
1984 07 5265·0
1984 06 6965·0
1984 05 6065.0
1984 04 2065.2
1984 03 4464·8
1984 02 1865.2
1984 01 5565·2
1983 12 4365·6
1983 11 1765.7
1983 10 7065·4
1983 09 7165·3
1983 08 2265.1
1983 07 3065·2
1983 06 1465.3
1983 05 2664·8
1983 04 864·6
1983 03 6364·6
1983 02 6265·1
1983 01 6565.2
1982 12 7765·3
1982 11 2465.8
1982 10 5266·2
1982 09 5667.3
1982 08 3066.1
1982 07 4466.3
1982 06 4866·4
1982 05 9466.7
1982 04 9166·7
1982 03 8066·7
1982 02 3766.2
1982 01 9766·7
1981 12 1066·7
1981 11 1366.9
1981 10 3167.0
1981 09 1167.5
1981 08 6467.6
1981 07 4968.2
1981 06 7068·2
1981 05 468.8
1981 04 5368.9
1981 03 2269.2
1981 02 1569.1
1981 01 7068·9
1980 12 269·1
1980 11 8669·1
1980 10 5569·3
1980 09 2869.2
1980 08 6269.7
1980 07 2569·7
1980 06 369.9
1980 05 2369·8
1980 04 769·9
1980 03 4470·1
1980 02 9670.7
1980 01 2470·1
1979 12 3870.2
1979 11 7570.3
1979 10 9770·9
1979 09 2571.1
1979 08 8170.8
1979 07 7470·4
1979 06 9570·3
1979 05 4470·6
1979 04 8770.4
1979 03 2571·0
1979 02 171.5
1979 01 2772.2
1978 12 2971·8
1978 11 3271·8
1978 10 5570.9
1978 09 4271·1
1978 08 1071.2
1978 07 2871.4
1978 06 1971·6
1978 05 8371·2
1978 04 5371·1
1978 03 6971·1
1978 02 8071·0
1978 01 7071·0
1977 12 1171·4
1977 11 3871·4
1977 10 5271·2
1977 09 4670.9
1977 08 5770.9
1977 07 4071·2
1977 06 7371·6
1977 05 8271·4
1977 04 9271.5
1977 03 771·3
1977 02 570.6
1977 01 7071·2
1976 12 4370·9
1976 11 9671·0
1976 10 3671·4
1976 09 3071·7
1976 08 5871.7
1976 07 8971·2
1976 06 8071·1
1976 05 771·0
1976 04 1571·0
1976 03 9270.7
1976 02 7370·7
1976 01 6971·7
1975 12 1271.4
1975 11 3671·5
1975 10 8071·7
1975 09 1172·1
1975 08 7572.4
1975 07 7972.6
1975 06 8872.2
1975 05 5172.6
1975 04 5572·5
1975 03 372·6
1975 02 973.3
1975 01 3473·6
1974 12 2873·8
1974 11 1374.3
1974 10 8374·6
1974 09 2974.7
1974 08 9274·9
1974 07 4174·8
1974 06 7075·0
1974 05 3075.5
1974 04 7576.2
1974 03 4576·6
1974 02 6176.5
1974 01 5676·1
1973 12 2676·1
1973 11 575·7
1973 10 6675·7
1973 09 5276·1
1973 08 2175·7
1973 07 2876.0
1973 06 2576.4
1973 05 8675.8
1973 04 5976·3
1973 03 4677.1
1973 02 077·5
1973 01 5376.8
1972 12 6877·5
1972 11 1677.7
1972 10 7977·8
1972 09 7177·8
1972 08 9677·8
1972 07 2077·7
1972 06 7578.1
1972 05 8678.2
1972 04 1978.1
1972 03 6377.9
1972 02 2677·7
1972 01 6578·2
1971 12 3878.7
1971 11 7779·3
1971 10 9479.1
1971 09 479·2
1971 08 7879.7
1971 07 2079·8
1971 06 6879.3
1971 05 2179·7
1971 04 8979.3
1971 03 7379·6
1971 02 6179.2
1971 01 6179·7
1970 12 4879.6
1970 11 4279·7
1970 10 1079.9
1970 09 9279·9
1970 08 5380.2
1970 07 5980.7
1970 06 7881·0
1970 05 980.8
1970 04 3181.2
1970 03 8081·2
1970 02 5381.7
1970 01 3181.9
1969 12 3281·7
1969 11 8981.6
1969 10 4981·9
1969 09 281.8
1969 08 3181·7
1969 07 9081·5
1969 06 281·7
1969 05 9181·9
1969 04 2982.2
1969 03 1682.1
1969 02 7682·3
1969 01 9381.8
1968 12 5282·7
1968 11 2382.5
1968 10 5982.3
1968 09 2682·5
1968 08 4883.0
1968 07 9382·9
1968 06 6483·1
1968 05 3482·9
1968 04 9583·0
1968 03 3282.8
1968 02 2882.5
1968 01 8882·0
1967 12 9282·7
1967 11 7382·7
1967 10 1482·8
1967 09 8082.9
1967 08 6582·4
1967 07 7182.7
1967 06 1182.5
1967 05 3082.5
1967 04 6482.1
1967 03 981·9
1967 02 3182.3
1967 01 8381·8
1966 12 6482·5
1966 11 9482·6
1966 10 1282.4
1966 09 782·7
1966 08 6682.3
1966 07 5682.6
1966 06 1782·8
1966 05 9682.4
1966 04 9682·2
1966 03 5282.2
1966 02 3381·5
1966 01 7081.7
1965 12 381·7
1965 11 6481.0
1965 10 7581.2
1965 09 7281·1
1965 08 6381.4
1965 07 9982·0
1965 06 7981·8
1965 05 7382.8
1965 04 7782.2
1965 03 8982·3
1965 02 982.5
1965 01 6582·4
1964 12 7082.4
1964 11 8982.6
1964 10 5282·7
1964 09 6981.9
1964 08 9182.6
1964 07 8282·2
1964 06 2182·1
1964 05 2882.6
1964 04 1882.3
1964 03 7581·9
1964 02 5481.9
1964 01 1182.3
1963 12 4982.3
1963 11 9883.1
1963 10 1582·7
1963 09 1382·9
1963 08 1182·4
1963 07 882·5
1963 06 9182·1
1963 05 5382.4
1963 04 5382·7
1963 03 8882·5
1963 02 9482.1
1963 01 7582·1
1962 12 5281·6
1962 11 4481.5
1962 10 6382.1
1962 09 4782·5
1962 08 882.3
1962 07 781·3
1962 06 6182·2
1962 05 6582·1
1962 04 4582.5
1962 03 3483·3
1962 02 7583.4
1962 01 4782.1
1961 12 1582.3
1961 11 782.3
1961 10 1982·0
1961 09 3881·5
1961 08 9281.9
1961 07 3281.6
1961 06 3082·7
1961 05 682.1
1961 04 7881.9
1961 03 4282·7
1961 02 7282·8
1961 01 4583.2
1960 12 9783·3
1960 11 9283.2
1960 10 3182·8
1960 09 7682·7
1960 08 082·4
1960 07 6482.9
1960 06 2282·7
1960 05 4282.8
1960 04 6282.9
1960 03 6582.4
1960 02 8182·8
1960 01 1182.6
1959 12 8483.4
1959 11 2783.1
1959 10 7283.3
1959 09 7983·8
1959 08 9184.1
1959 07 683·8
1959 06 8383.5
1959 05 6583·4
1959 04 3483·5
1959 03 8483.0
1959 02 2683.3
1959 01 1283·2
1958 12 8782.1
1958 11 6781.9
1958 10 4082.9
1958 09 8983.2
1958 08 5282·9
1958 07 8882·9
1958 06 8783.1
1958 05 9283.2
1958 04 5382.9
1958 03 283·0
1958 02 5583·4
1958 01 3883·7
1957 12 4183.8
1957 11 9283.4
1957 10 5783.9
1957 09 7383.9
1957 08 9283·4
1957 07 6384·4
1957 06 3284·9
1957 05 6584.6
1957 04 685.1
1957 03 4985·3
1957 02 4185.2
1957 01 885·3
1956 12 884.9
1956 11 585.3
1956 10 7385.4
1956 09 2285·2
1956 08 4885·8
1956 07 1385·8
1956 06 4185·7
1956 05 5085·5
1956 04 385·0
1956 03 7986·0
1956 02 8285.1
1956 01 6384.8
1955 12 7285.0
1955 11 3684.7
1955 10 6083.9
1955 09 5384.4
1955 08 8084.3
1955 07 3984·9
1955 06 6284.0
1955 05 4084.2
1955 04 7983·6
1955 03 7183.7
1955 02 183·6
1955 01 6983.3
1954 12 4384.5
1954 11 3984·5
1954 10 1684.7
1954 09 884·7
1954 08 7484·8
1954 07 7384.0
1954 06 6883·6
1954 05 5184.2
1954 04 9584.9
1954 03 3084.7
1954 02 4685·4
1954 01 1886.0
1953 12 5985·3
1953 11 9385·7
1953 10 6485·8
1953 09 5385.6
1953 08 3984·9
1953 07 6885·1
1953 06 5886.4
1953 05 2585.9
1953 04 3787·1
1953 03 8687·1
1953 02 9184·1
1953 01 2882·2
1952 12 7885·2
1952 11 385.3
1952 10 5285.6
1952 09 8185.3
1952 08 1285·1
1952 07 384·9
1952 06 5385.3
1952 05 2985.8
1952 04 1585.6
1952 03 9185·6
1952 02 3385·5
1952 01 4085·1
1951 12 8784.9
1951 11 9984.7
1951 10 5384·4
1951 09 984.6
1951 08 5385·3
1951 07 8385.8
1951 06 385.3
1951 05 5485·1
1951 04 6585.0
1951 03 2684.9
1951 02 9583.7
1951 01 2183·8
1950 12 9683.4
1950 11 3383·4
1950 10 6683·9
1950 09 7783.8
1950 08 4884·0
1950 07 3783.0
1950 06 8082.1
1950 05 1882.8
1950 04 4680.9
1950 03 9580.8
1950 02 2581.8
1950 01 6281·9
1949 12 4181.8
1949 11 8782·2
1949 10 1481·3
1949 09 5481·8
1949 08 781.5
1949 07 2082·0
1949 06 8382.9
1949 05 6282.6
1949 04 4683·9
1949 03 2784.0
1949 02 9784.7
1949 01 8185.0
1948 12 8285·9
1948 11 6385·6
1948 10 4386.1
1948 09 3086.0
1948 08 6686.4
1948 07 1086.8
1948 06 3487.2
1948 05 5386.8
1948 04 7487.2
1948 03 7687.3
1948 02 887·9
1948 01 1987.7
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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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