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 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
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 2003 02  7376·
 2003 01  548.
 2002 12 6756·
 2002 11 6241.
 2002 10 1939·
 2002 09 6544.
 2002 08 3136.
 2002 07 7945·
 2002 06 4947·
 2002 05 4219.
 2002 04 1535·
 2002 03 1354.
 2002 02 1571.
 2002 01 1863·
 2001 12  3251.
 2001 11  832.
 2001 10  9232.
 2001 09  049.
 2001 08  1934.
 2001 07  3441·
 2001 06  8030·
 2001 05  1933.
 2001 04  4025.
 2001 03  8534·
 2001 02  557.
 2001 01  3228·
 2000 12 8131·
 2000 11 8023·
 2000 10 1727.
 2000 09 2016.
 2000 08 5711·
 2000 07 6317·
 2000 06 9131·
 2000 05 9016.
 2000 04 529·
 2000 03 340·
 2000 02 2833·
 2000 01 7442·
 1999 12  8825·
 1999 11  9523.
 1999 10  5419·
 1999 09  2827·
 1999 08  9331.
 1999 07  5714·
 1999 06  1820.
 1999 05  3521.
 1999 04  3416·
 1999 03  3453·
 1999 02  9665.
 1999 01  047·
 1998 12 4923.
 1998 11 9516.
 1998 10 8812·
 1998 09 5519.
 1998 08 022·
 1998 07 3418·
 1998 06 2011·
 1998 05 5724.
 1998 04 7623·
 1998 03 6937·
 1998 02 4221.
 1998 01 8729·
 1997 12  8928·
 1997 11  4637.
 1997 10  3022·
 1997 09  5338.
 1997 08  7625.
 1997 07  3437·
 1997 06  8427.
 1997 05  8632.
 1997 04  233·
 1997 03  2643.
 1997 02  2938.
 1997 01  4243.
 1996 12 5431.
 1996 11 4129·
 1996 10 1517·
 1996 09 335·
 1996 08 4516.
 1996 07 2537·
 1996 06 1921·
 1996 05 7618.
 1996 04 1236.
 1996 03 4533·
 1996 02 4139·
 1996 01 9234.
 1995 12  1931.
 1995 11  9626.
 1995 10  529·
 1995 09  826.
 1995 08  5340.
 1995 07  9842.
 1995 06  6339·
 1995 05  623.
 1995 04  2840.
 1995 03  9436.
 1995 02  8936·
 1995 01  9323.
 1994 12 8124.
 1994 11 5426·
 1994 10 8533·
 1994 09 9927·
 1994 08 7524.
 1994 07 7125·
 1994 06 7426.
 1994 05 8218·
 1994 04 9828·
 1994 03 6545.
 1994 02 971·
 1994 01 2352·
 1993 12  6341.
 1993 11  8016·
 1993 10  6429.
 1993 09  2920·
 1993 08  850.
 1993 07  8540.
 1993 06  4042.
 1993 05  3144·
 1993 04  9620·
 1993 03  7440.
 1993 02  6141·
 1993 01  8758·
 1992 12 1431·
 1992 11 6645·
 1992 10 7934·
 1992 09 7714·
 1992 08 7644.
 1992 07 627.
 1992 06 6947.
 1992 05 932.
 1992 04 1936.
 1992 03 6342·
 1992 02 3165·
 1992 01 1438.
 1991 12  637.
 1991 11  3036.
 1991 10  9138·
 1991 09  4918·
 1991 08  2627.
 1991 07  2815.
 1991 06  9827.
 1991 05  9538·
 1991 04  9039·
 1991 03  9943.
 1991 02  2951·
 1991 01  5955·
 1990 12 3839·
 1990 11 1426·
 1990 10 8440·
 1990 09 7312·
 1990 08 3124·
 1990 07 6632·
 1990 06 8827·
 1990 05 9319·
 1990 04 5825·
 1990 03 7439·
 1990 02 9144·
 1990 01 041·
 1989 12  3237.
 1989 11  8329.
 1989 10  7020.
 1989 09  335·
 1989 08  9029·
 1989 07  6218.
 1989 06  2326.
 1989 05  3230·
 1989 04  9618.
 1989 03  437·
 1989 02  7840·
 1989 01  4333.
 1988 12 3628.
 1988 11 3038·
 1988 10 8320·
 1988 09 1913·
 1988 08 2520.
 1988 07 8328·
 1988 06 1514.
 1988 05 6619.
 1988 04 138.
 1988 03 3248.
 1988 02 7430·
 1988 01 1648·
 1987 12  2538.
 1987 11  7241·
 1987 10  8513·
 1987 09  2525.
 1987 08  8535.
 1987 07  2120·
 1987 06  9930.
 1987 05  7532·
 1987 04  9629·
 1987 03  2435·
 1987 02  9145·
 1987 01  7329·
 1986 12 9441.
 1986 11 5037.
 1986 10 6117·
 1986 09 5134·
 1986 08 4323.
 1986 07 9322·
 1986 06 3639.
 1986 05 6425.
 1986 04 3021.
 1986 03 7267·
 1986 02 6458·
 1986 01 9552.
 1985 12  6940·
 1985 11  3133·
 1985 10  2224·
 1985 09  5039.
 1985 08  9639.
 1985 07  4018·
 1985 06  1034.
 1985 05  6131.
 1985 04  7628·
 1985 03  9344.
 1985 02  5443·
 1985 01  8554·
 1984 12 9653·
 1984 11 828.
 1984 10 334.
 1984 09 220·
 1984 08 6935·
 1984 07 3036·
 1984 06 3331.
 1984 05 2117·
 1984 04 3235·
 1984 03 2823·
 1984 02 4546.
 1984 01 7242.
 1983 12  4926·
 1983 11  9637.
 1983 10  6422.
 1983 09  1215.
 1983 08  727·
 1983 07  5321.
 1983 06  4028.
 1983 05  2355·
 1983 04  2056.
 1983 03  4462·
 1983 02  4970.
 1983 01  1166.
 1982 12 2660.
 1982 11 3831.
 1982 10 9229·
 1982 09 837.
 1982 08 8640.
 1982 07 2854·
 1982 06 9243.
 1982 05 7118·
 1982 04 9039·
 1982 03 3449.
 1982 02 258.
 1982 01 8177.
 1981 12  4962.
 1981 11  037.
 1981 10  9627.
 1981 09  4533·
 1981 08  318·
 1981 07  9539·
 1981 06  7532.
 1981 05  9527.
 1981 04  1326.
 1981 03  1337·
 1981 02  6344.
 1981 01  8733·
 1980 12 6832·
 1980 11 7424.
 1980 10 1218·
 1980 09 336·
 1980 08 8049·
 1980 07 2133·
 1980 06 9834.
 1980 05 4919·
 1980 04 8827.
 1980 03 2437·
 1980 02 1949·
 1980 01 5742·
 1979 12  5422·
 1979 11  7721.
 1979 10  224·
 1979 09  8516·
 1979 08  6621·
 1979 07  9933·
 1979 06  9723.
 1979 05  1220·
 1979 04  3818.
 1979 03  3433·
 1979 02  7960.
 1979 01  4757·
 1978 12 628·
 1978 11 5129.
 1978 10 5018.
 1978 09 2024.
 1978 08 3524·
 1978 07 4521·
 1978 06 3328·
 1978 05 8913·
 1978 04 1123·
 1978 03 3435.
 1978 02 8049·
 1978 01 3530.
 1977 12  4820.
 1977 11  6341.
 1977 10  6623·
 1977 09  6426·
 1977 08  8325·
 1977 07  111.
 1977 06  9226.
 1977 05  821.
 1977 04  8024.
 1977 03  4140.
 1977 02  8266·
 1977 01  2538·
 1976 12 2635·
 1976 11 441.
 1976 10 8815·
 1976 09 9520.
 1976 08 3520·
 1976 07 3329·
 1976 06 8432·
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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 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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