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 Series Title: Number Unemployed for 5-6 weeks 55-64 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  737.
 2003 01  1610.
 2002 12 3722·
 2002 11 2113·
 2002 10 7514·
 2002 09 910·
 2002 08 365·
 2002 07 9824·
 2002 06 1712.
 2002 05 759·
 2002 04 1017.
 2002 03 4910·
 2002 02 5210.
 2002 01 962.
 2001 12  7413·
 2001 11  1716.
 2001 10  5310·
 2001 09  7926.
 2001 08  648.
 2001 07  7313.
 2001 06  225·
 2001 05  568.
 2001 04  4314·
 2001 03  93.
 2001 02  8418·
 2001 01  82
 2000 12 011·
 2000 11 4612·
 2000 09 9013.
 2000 08 417.
 2000 07 4815·
 2000 06 2712.
 2000 05 1415.
 2000 04 372·
 2000 03 2310·
 2000 02 2213·
 2000 01 575·
 1999 12  314·
 1999 11  903.
 1999 10  2413·
 1999 09  445.
 1999 08  9621.
 1999 07  3610.
 1999 06  5317.
 1999 05  2710.
 1999 04  984.
 1999 03  7423.
 1999 02  531.
 1999 01  797·
 1998 12 1415·
 1998 11 4117·
 1998 10 9313·
 1998 09 23.
 1998 08 7711.
 1998 07 118.
 1998 06 685.
 1998 05 229·
 1998 04 4211·
 1998 03 427.
 1998 02 9511·
 1998 01 875.
 1997 12  935·
 1997 11  77
 1997 10  2110.
 1997 09  759·
 1997 08  3513·
 1997 07  429·
 1997 06  128·
 1997 05  855·
 1997 04  03.
 1997 03  26.
 1997 02  6515·
 1997 01  4211·
 1996 12 4519.
 1996 11 4512·
 1996 10 9725.
 1996 09 974·
 1996 08 518.
 1996 07 8218·
 1996 06 5415·
 1996 05 268·
 1996 04 259.
 1996 03 529.
 1996 02 417.
 1996 01 2813·
 1995 12  9937.
 1995 11  1827.
 1995 10  41
 1995 09  3013·
 1995 08  2927.
 1995 07  688.
 1995 06  846.
 1995 05  8111.
 1995 04  9718·
 1995 03  1413.
 1995 02  7916.
 1995 01  574·
 1994 12 1020·
 1994 11 9511.
 1994 10 921.
 1994 09 5820.
 1994 08 9922·
 1994 07 7313·
 1994 06 207.
 1994 05 106·
 1994 04 203·
 1994 03 366·
 1994 02 819·
 1994 01 6313.
 1993 12  5611·
 1993 11  9813.
 1993 10  1914.
 1993 09  93
 1993 08  149·
 1993 07  96
 1993 06  420·
 1993 05  014.
 1993 04  249.
 1993 03  9314.
 1993 02  2826·
 1993 01  811·
 1992 12 438.
 1992 11 76
 1992 10 1316.
 1992 09 7012·
 1992 08 5323.
 1992 07 5916.
 1992 06 114·
 1992 05 59
 1992 04 6210.
 1992 03 8014·
 1992 02 6219·
 1992 01 7713·
 1991 12  9919·
 1991 11  24·
 1991 10  9016·
 1991 09  4910·
 1991 08  2212·
 1991 07  1217·
 1991 06  423.
 1991 05  257.
 1991 04  1411.
 1991 03  2316.
 1991 02  495·
 1991 01  8110·
 1990 12 7919.
 1990 11 7322·
 1990 10 9317.
 1990 09 1712.
 1990 08 5013·
 1990 07 2516.
 1990 06 3021·
 1990 05 588.
 1990 04 844·
 1990 03 6814.
 1990 02 8112.
 1990 01 5517·
 1989 12  6220.
 1989 11  1316.
 1989 10  8812.
 1989 09  8313·
 1989 08  9017·
 1989 07  9915.
 1989 06  2113·
 1989 05  4216.
 1989 04  115.
 1989 03  8919·
 1989 02  748·
 1989 01  5913·
 1988 12 5212·
 1988 11 7013.
 1988 10 679·
 1988 09 834·
 1988 08 2312·
 1988 07 5514·
 1988 06 438·
 1988 05 904·
 1988 04 2113·
 1988 03 83
 1988 02 7118·
 1988 01 805.
 1987 12  7815·
 1987 11  169·
 1987 10  47
 1987 09  7810.
 1987 08  5116·
 1987 07  4314·
 1987 06  8810.
 1987 05  3519.
 1987 04  2213·
 1987 03  7517·
 1987 02  3913.
 1987 01  2714·
 1986 12 969·
 1986 11 5110.
 1986 10 698.
 1986 09 5310.
 1986 08 62·
 1986 07 3422·
 1986 06 7318·
 1986 05 3915·
 1986 04 821·
 1986 03 1113·
 1986 02 6919·
 1986 01 3620·
 1985 12  849.
 1985 11  9612.
 1985 10  119·
 1985 09  198·
 1985 08  4018.
 1985 07  2716.
 1985 06  4013.
 1985 05  885.
 1985 04  915·
 1985 03  6612.
 1985 02  7821.
 1985 01  6923·
 1984 12 4623.
 1984 11 1
 1984 10 3522·
 1984 09 118·
 1984 08 3415.
 1984 07 4518·
 1984 06 5510.
 1984 05 917.
 1984 04 794·
 1984 03 3614·
 1984 02 7
 1984 01 920.
 1983 12  1210.
 1983 11  379.
 1983 10  8614·
 1983 09  9112·
 1983 08  916·
 1983 07  3611·
 1983 06  1012·
 1983 05  85
 1983 04  9711.
 1983 03  4612·
 1983 02  2429.
 1983 01  6918.
 1982 12 3632·
 1982 11 419·
 1982 10 9722.
 1982 09 428·
 1982 08 4117.
 1982 07 7321·
 1982 06 2324.
 1982 05 3013.
 1982 04 6811.
 1982 03 4220.
 1982 02 2135.
 1982 01 8320·
 1981 12  9811.
 1981 11  2312.
 1981 10  3526.
 1981 09  7720.
 1981 08  387.
 1981 07  548.
 1981 06  347.
 1981 05  126.
 1981 04  2015.
 1981 03  9926·
 1981 02  1317·
 1981 01  1212.
 1980 12 128.
 1980 11 4419·
 1980 10 9119·
 1980 09 3017.
 1980 08 6211.
 1980 07 38.
 1980 06 1214·
 1980 05 4010·
 1980 04 913.
 1980 03 147·
 1980 02 4414·
 1980 01 4217.
 1979 12  7515.
 1979 11  3917·
 1979 10  8317·
 1979 09  6220.
 1979 08  1612.
 1979 07  6710·
 1979 06  469.
 1979 05  5111.
 1979 04  1412·
 1979 03  109.
 1979 02  8016·
 1979 01  8311.
 1978 12 7515.
 1978 11 610·
 1978 10 519·
 1978 09 598.
 1978 08 3110.
 1978 07 198.
 1978 06 556.
 1978 05 58·
 1978 04 383·
 1978 03 3512.
 1978 02 1212·
 1978 01 719·
 1977 12  7919·
 1977 11  697·
 1977 10  649·
 1977 09  3110.
 1977 08  5912.
 1977 07  5721·
 1977 06  8115·
 1977 05  8814·
 1977 04  128.
 1977 03  6320·
 1977 02  5715·
 1977 01  659·
 1976 12 927·
 1976 11 743·
 1976 10 1217.
 1976 09 1418·
 1976 08 828·
 1976 07 417·
 1976 06 8920.
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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 55-64 yrs. Female: 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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