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 Series Title: Number Unemployed for 5-6 weeks 45-54 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  2252.
 2003 01  4752·
 2002 12 8262.
 2002 11 7938·
 2002 10 1518·
 2002 09 6813·
 2002 08 1912·
 2002 07 8151.
 2002 06 4337.
 2002 05 5529·
 2002 04 2625·
 2002 03 5031·
 2002 02 5651·
 2002 01 9258·
 2001 12  1648·
 2001 11  3048.
 2001 10  3143·
 2001 09  8411.
 2001 08  2516.
 2001 07  9128·
 2001 06  6729·
 2001 05  6329.
 2001 04  1917·
 2001 03  2840.
 2001 02  8942.
 2001 01  8640.
 2000 12 8358·
 2000 11 5836·
 2000 10 4927.
 2000 09 3418.
 2000 08 3133.
 2000 07 2620·
 2000 06 2116·
 2000 05 1418·
 2000 04 217·
 2000 03 120·
 2000 02 548·
 2000 01 5842.
 1999 12  5753.
 1999 11  7827.
 1999 10  2819·
 1999 09  2311.
 1999 08  8520·
 1999 07  7512.
 1999 06  4015·
 1999 05  897.
 1999 04  9914.
 1999 03  3836·
 1999 02  1539·
 1999 01  6439·
 1998 12 3735.
 1998 11 3321.
 1998 10 5527·
 1998 09 796.
 1998 08 6017.
 1998 07 5724·
 1998 06 8516·
 1998 05 9235.
 1998 04 5918·
 1998 03 2824·
 1998 02 5532·
 1998 01 8218.
 1997 12  4442.
 1997 11  9021.
 1997 10  4017.
 1997 09  5814·
 1997 08  5518.
 1997 07  1314·
 1997 06  4214.
 1997 05  5122·
 1997 04  5319.
 1997 03  9025.
 1997 02  8534.
 1997 01  1725·
 1996 12 2839.
 1996 11 4142.
 1996 10 1926.
 1996 09 396.
 1996 08 918.
 1996 07 910·
 1996 06 2132.
 1996 05 2219.
 1996 04 8114.
 1996 03 6528·
 1996 02 9032·
 1996 01 9839.
 1995 12  6045.
 1995 11  122·
 1995 10  5227·
 1995 09  2518·
 1995 08  1722.
 1995 07  3814.
 1995 06  5734.
 1995 05  8323.
 1995 04  6512.
 1995 03  1935·
 1995 02  8129.
 1995 01  7925·
 1994 12 4039.
 1994 11 1425.
 1994 10 2423·
 1994 09 4613·
 1994 08 726·
 1994 07 1610.
 1994 06 1112.
 1994 05 3923.
 1994 04 5318·
 1994 03 4534·
 1994 02 9465.
 1994 01 4033.
 1993 12  9133·
 1993 11  4633·
 1993 10  4629.
 1993 09  5640·
 1993 08  5833.
 1993 07  8625·
 1993 06  7030.
 1993 05  1920·
 1993 04  1939·
 1993 03  6053·
 1993 02  8956·
 1993 01  8456.
 1992 12 6061·
 1992 11 8844.
 1992 10 5541.
 1992 09 3536·
 1992 08 9432.
 1992 07 1336·
 1992 06 4231·
 1992 05 7723·
 1992 04 6032.
 1992 03 538.
 1992 02 5246·
 1992 01 4254.
 1991 12  2051·
 1991 11  5733·
 1991 10  940·
 1991 09  8737.
 1991 08  6243.
 1991 07  9043·
 1991 06  6432·
 1991 05  9339.
 1991 04  9946.
 1991 03  4640.
 1991 02  9350·
 1991 01  6768·
 1990 12 6945·
 1990 11 9653.
 1990 10 9518·
 1990 09 4111.
 1990 08 359·
 1990 07 3331.
 1990 06 9723·
 1990 05 7129·
 1990 04 8531·
 1990 03 7734·
 1990 02 4842.
 1990 01 3941·
 1989 12  3130.
 1989 11  7130·
 1989 10  2421·
 1989 09  5215.
 1989 08  1228·
 1989 07  8523·
 1989 06  2517.
 1989 05  4115·
 1989 04  9027.
 1989 03  1228·
 1989 02  7739·
 1989 01  6239.
 1988 12 5438.
 1988 11 7337.
 1988 10 3126.
 1988 09 9826·
 1988 08 1519.
 1988 07 1132·
 1988 06 6019·
 1988 05 5635.
 1988 04 1313.
 1988 03 9630.
 1988 02 6728.
 1988 01 6653·
 1987 12  1029.
 1987 11  2127·
 1987 10  7635·
 1987 09  8518.
 1987 08  9329·
 1987 07  521·
 1987 06  3723.
 1987 05  9622·
 1987 04  7721·
 1987 03  9332.
 1987 02  2758·
 1987 01  451.
 1986 12 9736.
 1986 11 5438·
 1986 10 4532·
 1986 09 4137·
 1986 08 1919.
 1986 07 8223·
 1986 06 1617·
 1986 05 6528·
 1986 04 2942.
 1986 03 9640.
 1986 02 9341·
 1986 01 5639·
 1985 12  4050·
 1985 11  4119.
 1985 10  4846·
 1985 09  2125.
 1985 08  9024.
 1985 07  8534·
 1985 06  8443.
 1985 05  9228.
 1985 04  4329·
 1985 03  2245·
 1985 02  2537.
 1985 01  2646·
 1984 12 8557.
 1984 11 7332.
 1984 10 2246.
 1984 09 429.
 1984 08 3012·
 1984 07 8015·
 1984 06 5022·
 1984 05 3227·
 1984 04 1619.
 1984 03 1321.
 1984 02 1034.
 1984 01 4444.
 1983 12  655·
 1983 11  6639.
 1983 10  2631·
 1983 09  9430·
 1983 08  8736·
 1983 07  5930.
 1983 06  5017·
 1983 05  6527·
 1983 04  7337.
 1983 03  3547.
 1983 02  5759·
 1983 01  6347·
 1982 12 125.
 1982 11 6432.
 1982 10 4731.
 1982 09 2133·
 1982 08 3439.
 1982 07 3937.
 1982 06 4529·
 1982 05 9440·
 1982 04 6040.
 1982 03 8046·
 1982 02 261.
 1982 01 6447·
 1981 12  9249.
 1981 11  3135·
 1981 10  9416·
 1981 09  3821.
 1981 08  6827.
 1981 07  6143·
 1981 06  2019·
 1981 05  4833.
 1981 04  5119.
 1981 03  6526.
 1981 02  732·
 1981 01  5035·
 1980 12 2941.
 1980 11 6130.
 1980 10 424·
 1980 09 2626.
 1980 08 1421·
 1980 07 9448·
 1980 06 8625·
 1980 05 8223.
 1980 04 4422·
 1980 03 3220·
 1980 02 5538.
 1980 01 5139·
 1979 12  8328.
 1979 11  7021·
 1979 10  3616·
 1979 09  8821·
 1979 08  1819.
 1979 07  2716.
 1979 06  7918·
 1979 05  769.
 1979 04  6222.
 1979 03  4733·
 1979 02  5947.
 1979 01  2140·
 1978 12 5315.
 1978 11 9918.
 1978 10 7710·
 1978 09 5419.
 1978 08 5418·
 1978 07 7820.
 1978 06 5815.
 1978 05 3321.
 1978 04 5319.
 1978 03 219.
 1978 02 5331·
 1978 01 3936.
 1977 12  6329.
 1977 11  1629·
 1977 10  3625·
 1977 09  7918.
 1977 08  2119.
 1977 07  8915.
 1977 06  919·
 1977 05  8312.
 1977 04  9011.
 1977 03  1522·
 1977 02  9738.
 1977 01  1040.
 1976 12 5933·
 1976 11 1327·
 1976 10 5019·
 1976 09 4017·
 1976 08 4019·
 1976 07 2726·
 1976 06 4439·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

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

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      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





 Series Title: Number Unemployed for 5-6 weeks 45-54 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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