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 Series Title: Number Unemployed for 7-10 weeks 55-64 yrs. Male: NSA (Thousands)
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 1976 06 5532.
 1976 07 9229·
 1976 08 2120.
 1976 09 1920.
 1976 10 8915·
 1976 11 3541·
 1976 12 6135·
 1977 01  538·
 1977 02  8366·
 1977 03  6940·
 1977 04  9724·
 1977 05  8421·
 1977 06  8826.
 1977 07  7811.
 1977 08  4025.
 1977 09  026·
 1977 10  7923.
 1977 11  6741.
 1977 12  2820·
 1978 01 2130·
 1978 02 5549·
 1978 03 6935.
 1978 04 2523.
 1978 05 4113.
 1978 06 4428.
 1978 07 3921·
 1978 08 1724.
 1978 09 8124.
 1978 10 9418.
 1978 11 5929·
 1978 12 1928.
 1979 01  8457.
 1979 02  8260.
 1979 03  3733·
 1979 04  6818·
 1979 05  1920·
 1979 06  823·
 1979 07  333·
 1979 08  2721.
 1979 09  8116.
 1979 10  9724.
 1979 11  1521·
 1979 12  8422.
 1980 01 8842.
 1980 02 049.
 1980 03 5437.
 1980 04 5127·
 1980 05 8519.
 1980 06 9134·
 1980 07 2633.
 1980 08 6749.
 1980 09 4136·
 1980 10 7218·
 1980 11 6424·
 1980 12 9532.
 1981 01  4933.
 1981 02  6844.
 1981 03  2337·
 1981 04  2126.
 1981 05  3027·
 1981 06  2932.
 1981 07  8639.
 1981 08  6018.
 1981 09  2733·
 1981 10  3027.
 1981 11  5937·
 1981 12  4962.
 1982 01 977.
 1982 02 7358·
 1982 03 7449.
 1982 04 5139.
 1982 05 7118.
 1982 06 8143.
 1982 07 8854.
 1982 08 5440·
 1982 09 3237·
 1982 10 729·
 1982 11 8131.
 1982 12 7160·
 1983 01  3566·
 1983 02  2470.
 1983 03  6262.
 1983 04  4056.
 1983 05  5055·
 1983 06  3528·
 1983 07  6021.
 1983 08  2327.
 1983 09  7215·
 1983 10  6322·
 1983 11  3437·
 1983 12  826·
 1984 01 1842·
 1984 02 5946·
 1984 03 6423.
 1984 04 935.
 1984 05 3417·
 1984 06 9931.
 1984 07 5836·
 1984 08 6335·
 1984 09 8920·
 1984 10 8334·
 1984 11 4728·
 1984 12 3453.
 1985 01  7654.
 1985 02  3643.
 1985 03  8744.
 1985 04  828·
 1985 05  1431·
 1985 06  1034·
 1985 07  6118·
 1985 08  9939.
 1985 09  4939.
 1985 10  7824·
 1985 11  7433.
 1985 12  4540.
 1986 01 4952.
 1986 02 4358.
 1986 03 5967.
 1986 04 921·
 1986 05 825.
 1986 06 2839·
 1986 07 7222·
 1986 08 7823·
 1986 09 4634·
 1986 10 8517.
 1986 11 9537·
 1986 12 6641·
 1987 01  629.
 1987 02  8845·
 1987 03  3435.
 1987 04  1129·
 1987 05  5732·
 1987 06  3930·
 1987 07  2220·
 1987 08  7435.
 1987 09  9525.
 1987 10  6213·
 1987 11  1441·
 1987 12  4538·
 1988 01 3748.
 1988 02 830·
 1988 03 9248.
 1988 04 3538·
 1988 05 2819.
 1988 06 5314.
 1988 07 6428·
 1988 08 8420·
 1988 09 3813.
 1988 10 9720.
 1988 11 6038·
 1988 12 5428·
 1989 01  5933.
 1989 02  6440·
 1989 03  3737·
 1989 04  3218·
 1989 05  1330·
 1989 06  626·
 1989 07  7718.
 1989 08  3229·
 1989 09  4235.
 1989 10  9820·
 1989 11  8729.
 1989 12  9137.
 1990 01 1541.
 1990 02 4144.
 1990 03 9839.
 1990 04 7325·
 1990 05 2819.
 1990 06 5927.
 1990 07 6732.
 1990 08 6524.
 1990 09 9912.
 1990 10 340·
 1990 11 7626·
 1990 12 8039.
 1991 01  7155.
 1991 02  4951·
 1991 03  3043·
 1991 04  5639.
 1991 05  1638.
 1991 06  9627·
 1991 07  6215·
 1991 08  5627·
 1991 09  2518.
 1991 10  7138·
 1991 11  2936·
 1991 12  6837·
 1992 01 1938.
 1992 02 2365.
 1992 03 1242·
 1992 04 536.
 1992 05 4232.
 1992 06 2947.
 1992 07 1727·
 1992 08 544·
 1992 09 6314·
 1992 10 8834·
 1992 11 7745·
 1992 12 3031.
 1993 01  7658·
 1993 02  2641.
 1993 03  4840.
 1993 04  6820·
 1993 05  044·
 1993 06  9342·
 1993 07  1140·
 1993 08  3350·
 1993 09  7920·
 1993 10  6529.
 1993 11  7316·
 1993 12  6141.
 1994 01 8352.
 1994 02 4171·
 1994 03 6745·
 1994 04 1728·
 1994 05 518·
 1994 06 4826·
 1994 07 4825.
 1994 08 8824.
 1994 09 6527·
 1994 10 3633.
 1994 11 9826.
 1994 12 8724.
 1995 01  723.
 1995 02  8036·
 1995 03  2436.
 1995 04  5240.
 1995 05  023·
 1995 06  8139·
 1995 07  5742·
 1995 08  4540·
 1995 09  3826·
 1995 10  6429.
 1995 11  5526.
 1995 12  5431.
 1996 01 4134·
 1996 02 7939·
 1996 03 9833·
 1996 04 9436.
 1996 05 5118.
 1996 06 121·
 1996 07 9437·
 1996 08 016.
 1996 09 4035.
 1996 10 3217·
 1996 11 7329·
 1996 12 3731·
 1997 01  043.
 1997 02  9738.
 1997 03  9443·
 1997 04  9133.
 1997 05  5132.
 1997 06  4527.
 1997 07  3637.
 1997 08  7725·
 1997 09  3738·
 1997 10  5322.
 1997 11  837·
 1997 12  3228.
 1998 01 2729.
 1998 02 2021·
 1998 03 4037.
 1998 04 1823·
 1998 05 1524·
 1998 06 7211.
 1998 07 8918·
 1998 08 2422·
 1998 09 2119.
 1998 10 6012.
 1998 11 3716·
 1998 12 6323·
 1999 01  8847·
 1999 02  5965.
 1999 03  9153·
 1999 04  7216.
 1999 05  8621.
 1999 06  6920·
 1999 07  8214·
 1999 08  1431·
 1999 09  927.
 1999 10  1619.
 1999 11  6623.
 1999 12  7825.
 2000 01 7542.
 2000 02 4933·
 2000 03 2640·
 2000 04 7529·
 2000 05 3016.
 2000 06 4531·
 2000 07 6917.
 2000 08 4511.
 2000 09 4316.
 2000 10 427·
 2000 11 2423·
 2000 12 4931·
 2001 01  628.
 2001 02  5257.
 2001 03  5034.
 2001 04  7725·
 2001 05  4033·
 2001 06  3730.
 2001 07  2941.
 2001 08  4034·
 2001 09  8949·
 2001 10  3732·
 2001 11  6532.


 2001 12  7751·
 2002 01 2263.
 2002 02 5171.
 2002 03 9254·
 2002 04 5035·
 2002 05 3219·
 2002 06 547·
 2002 07 6645·
 2002 08 4736·
 2002 09 4044·
 2002 10 4939·
 2002 11 6941.
 2002 12 8256.
 2003 01  8948.
 2003 02  5976·
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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

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





 Series Title: Number Unemployed for 7-10 weeks 55-64 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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