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 Series Title: Number Unemployed for 5-6 weeks 65 yrs. & over: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  6320·
 2003 01  116.
 2002 12 4828·
 2002 11 693·
 2002 10 9612·
 2002 09 516.
 2002 08 594.
 2002 07 744·
 2002 06 338.
 2002 05 2719·
 2002 04 97.
 2002 03 168·
 2002 02 2413·
 2002 01 203.
 2001 12  1018·
 2001 11  3818·
 2001 10  4410.
 2001 09  388.
 2001 08  04.
 2001 07  912·
 2001 06  953.
 2001 05  112.
 2001 04  424.
 2001 03  2416·
 2001 02  110.
 2001 01  9713·
 2000 12 2414.
 2000 11 26.
 2000 10 121·
 2000 09 7812.
 2000 08 5919.
 2000 07 862.
 2000 06 511·
 2000 05 597.
 2000 04 857·
 2000 03 4718.
 2000 02 8019·
 2000 01 72
 1999 12  655.
 1999 11  7713.
 1999 10  6110.
 1999 09  753·
 1999 08  869·
 1999 07  9724.
 1999 06  02.
 1999 05  483·
 1999 04  617.
 1999 03  51
 1999 02  7212.
 1999 01  9910.
 1998 12 2914·
 1998 11 77.
 1998 10 763.
 1998 09 584.
 1998 08 525·
 1998 07 5910·
 1998 06 397·
 1998 05 845.
 1998 04 186·
 1998 03 2815·
 1998 02 1212.
 1998 01 562·
 1997 12  404.
 1997 11  568·
 1997 10  683·
 1997 09  8311.
 1997 08  566·
 1997 07  143·
 1997 06  911.
 1997 05  9515.
 1997 04  2910.
 1997 03  95
 1997 02  606.
 1997 01  504·
 1996 12 4614.
 1996 11 1810.
 1996 10 727·
 1996 09 287.
 1996 08 217·
 1996 07 284·
 1996 06 208.
 1996 05 3712·
 1996 04 91
 1996 03 937·
 1996 02 310.
 1996 01 811.
 1995 12  2012.
 1995 11  913·
 1995 10  4913.
 1995 09  977.
 1995 08  9510.
 1995 07  936.
 1995 06  623·
 1995 05  8720.
 1995 04  299·
 1995 03  9114.
 1995 02  516.
 1995 01  848.
 1994 12 605·
 1994 11 7017·
 1994 10 8416.
 1994 09 20
 1994 08 5121.
 1994 07 273·
 1994 06 303·
 1994 05 5213.
 1994 04 896.
 1994 03 7811·
 1994 02 4018·
 1994 01 603.
 1993 12  895.
 1993 11  7011.
 1993 10  886·
 1993 09  526.
 1993 08  879.
 1993 07  701.
 1993 06  7615·
 1993 05  597·
 1993 04  463·
 1993 03  736.
 1993 02  295·
 1993 01  388.
 1992 12 552.
 1992 11 986.
 1992 10 971·
 1992 09 7013·
 1992 08 263.
 1992 07 9011.
 1992 06 5615.
 1992 05 634·
 1992 04 9714.
 1992 03 166.
 1992 02 511·
 1992 01 4710.
 1991 12  313.
 1991 11  733·
 1991 10  717·
 1991 09  809.
 1991 08  16
 1991 07  787.
 1991 06  34.
 1991 05  449.
 1991 04  65
 1991 03  769·
 1991 02  788·
 1991 01  438·
 1990 12 151.
 1990 11 3612·
 1990 10 9515.
 1990 09 127·
 1990 08 3013.
 1990 07 5113.
 1990 06 804.
 1990 05 54·
 1990 04 9812.
 1990 03 4316.
 1990 02 8322·
 1990 01 58·
 1989 12  311.
 1989 11  5312·
 1989 10  8021·
 1989 09  189·
 1989 08  676·
 1989 07  525·
 1989 06  7210·
 1989 05  769·
 1989 04  701.
 1989 03  343.
 1989 02  825.
 1989 01  3616·
 1988 12 269.
 1988 11 1710·
 1988 10 632·
 1988 09 791.
 1988 08 495.
 1988 07 469·
 1988 06 884·
 1988 05 127.
 1988 04 773·
 1988 03 919·
 1988 02 59
 1988 01 6710.
 1987 12  73
 1987 11  448·
 1987 10  29·
 1987 09  996·
 1987 08  255.
 1987 07  262.
 1987 06  666·
 1987 05  925·
 1987 04  448·
 1987 03  811·
 1987 02  2612.
 1987 01  505·
 1986 12 714.
 1986 11 771.
 1986 10 846.
 1986 09 79.
 1986 08 664.
 1986 07 910.
 1986 06 649·
 1986 05 198.
 1986 04 193.
 1986 03 9616.
 1986 02 1714.
 1986 01 675·
 1985 12  427.
 1985 11  812·
 1985 10  1910·
 1985 09  585·
 1985 08  723.
 1985 07  359.
 1985 06  7013·
 1985 05  2418·
 1985 04  7410.
 1985 03  5211·
 1985 02  943·
 1985 01  2010.
 1984 12 342.
 1984 11 505.
 1984 10 435·
 1984 09 303·
 1984 08 669.
 1984 07 7310·
 1984 06 928.
 1984 05 603·
 1984 04 76.
 1984 03 912·
 1984 02 4211.
 1984 01 408·
 1983 12  211.
 1983 11  985.
 1983 10  1713.
 1983 09  294·
 1983 08  9511.
 1983 07  149·
 1983 06  685.
 1983 05  74.
 1983 04  425·
 1983 03  816.
 1983 02  717·
 1983 01  819.
 1982 12 111·
 1982 11 705.
 1982 10 2510·
 1982 09 828·
 1982 08 3316.
 1982 07 7411.
 1982 06 574.
 1982 05 6912.
 1982 04 2710·
 1982 03 127·
 1982 02 174·
 1982 01 2111.
 1981 12  966·
 1981 10  30
 1981 09  792·
 1981 08  469·
 1981 07  77
 1981 06  957.
 1981 05  452·
 1981 04  756.
 1981 03  3413·
 1981 02  312·
 1981 01  409·
 1980 12 65
 1980 11 5512·
 1980 10 7112.
 1980 09 145.
 1980 08 983·
 1980 07 519·
 1980 06 455·
 1980 05 435.
 1980 04 808·
 1980 03 626.
 1980 02 93
 1980 01 277·
 1979 12  4311·
 1979 11  501·
 1979 10  1015·
 1979 09  9110.
 1979 08  449·
 1979 07  313.
 1979 06  1512.
 1979 05  867·
 1979 04  638·
 1979 03  3413.
 1979 02  517.
 1979 01  8720·
 1978 12 911.
 1978 11 8012.
 1978 10 8912·
 1978 09 95
 1978 08 124·
 1978 07 610·
 1978 06 219.
 1978 05 34
 1978 04 2916.
 1978 03 974.
 1978 02 687.
 1978 01 5610.
 1977 12  424·
 1977 11  6812.
 1977 10  732.
 1977 09  366.
 1977 08  5716.
 1977 07  5712.
 1977 06  6
 1977 05  748·
 1977 03  67.
 1977 02  2621.
 1977 01  618.
 1976 12 9517.
 1976 11 469.
 1976 10 626.
 1976 09 5615·
 1976 08 519·
 1976 07 5812.
 1976 06 80
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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 5-6 weeks 65 yrs. & over: 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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