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 Series Title: Number Unemployed for 7-10 weeks 65 yrs. & over 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  4921.
 2003 01  2733.
 2002 12 947.
 2002 11 7715.
 2002 10 2912·
 2002 09 34.
 2002 08 556·
 2002 07 7212.
 2002 06 1917.
 2002 05 213·
 2002 04 621.
 2002 03 99·
 2002 02 709·
 2002 01 6410·
 2001 12  2614·
 2001 11  3321.
 2001 10  579·
 2001 09  377·
 2001 08  85
 2001 07  133.
 2001 06  803·
 2001 04  729.
 2001 03  39·
 2001 02  423·
 2001 01  645·
 2000 12 25
 2000 11 679·
 2000 10 4111·
 2000 09 618·
 2000 08 796.
 2000 07 908·
 2000 06 526·
 2000 05 456.
 2000 04 417·
 2000 03 1020.
 2000 02 467.
 2000 01 1713.
 1999 12  417·
 1999 11  90
 1999 10  169·
 1999 09  210.
 1999 08  368·
 1999 07  1810.
 1999 06  8212·
 1999 05  50
 1999 03  819.
 1999 02  69·
 1999 01  879.
 1998 12 382·
 1998 11 643.
 1998 10 931·
 1998 09 23.
 1998 07 6516·
 1998 06 356.
 1998 05 4216·
 1998 04 198.
 1998 03 57
 1998 02 788.
 1998 01 398·
 1997 12  585.
 1997 11  648.
 1997 10  758·
 1997 09  011·
 1997 08  645·
 1997 07  617.
 1997 06  325·
 1997 05  6011.
 1997 03  53.
 1997 02  50
 1997 01  8026.
 1996 12 835.
 1996 11 757·
 1996 10 559.
 1996 09 775.
 1996 08 579.
 1996 07 9414·
 1996 06 26
 1996 05 412·
 1996 04 953·
 1996 03 65.
 1996 02 409.
 1996 01 6813·
 1995 12  349.
 1995 11  80
 1995 10  965.
 1995 09  13.
 1995 08  398.
 1995 07  1016·
 1995 06  2020.
 1995 05  583·
 1995 04  95
 1995 03  154·
 1995 02  6321.
 1995 01  2218.
 1994 12 1711.
 1994 11 403.
 1994 10 996.
 1994 09 9910.
 1994 08 4217.
 1994 07 5315.
 1994 06 292.
 1994 05 223·
 1994 04 349·
 1994 03 4818·
 1994 02 7917.
 1994 01 456.
 1993 12  795.
 1993 11  465.
 1993 10  988·
 1993 09  535·
 1993 08  923·
 1993 07  896·
 1993 06  63
 1993 05  504.
 1993 04  95·
 1993 03  4810·
 1993 02  734.
 1993 01  6810·
 1992 12 944·
 1992 11 153.
 1992 10 548.
 1992 09 658.
 1992 08 34
 1992 07 116·
 1992 06 5710.
 1992 05 2112·
 1992 04 437.
 1992 03 803.
 1992 02 576.
 1992 01 4414.
 1991 12  599·
 1991 11  905.
 1991 09  5412.
 1991 08  659.
 1991 07  4316.
 1991 06  3615.
 1991 05  739.
 1991 04  413·
 1991 03  8511.
 1991 02  3710.
 1991 01  658·
 1990 12 53
 1990 11 9712·
 1990 10 371·
 1990 09 6
 1990 08 85·
 1990 07 166.
 1990 06 56.
 1990 05 9616·
 1990 04 373·
 1990 03 76.
 1990 02 358.
 1990 01 5911·
 1989 12  9811·
 1989 11  5611·
 1989 10  475·
 1989 09  476·
 1989 08  721.
 1989 07  774·
 1989 06  8510·
 1989 05  363·
 1989 04  6615·
 1989 03  83·
 1989 02  1710.
 1989 01  241.
 1988 12 1010.
 1988 10 113.
 1988 09 387·
 1988 08 387.
 1988 07 63
 1988 06 7412·
 1988 05 6714.
 1988 04 294·
 1988 03 5
 1988 02 108·
 1988 01 499·
 1987 12  703.
 1987 11  437.
 1987 10  5710.
 1987 09  52
 1987 08  641·
 1987 06  93.
 1987 05  795·
 1987 04  705·
 1987 03  3511.
 1987 02  5911·
 1987 01  628.
 1986 12 226·
 1986 11 336·
 1986 10 7511.
 1986 09 20
 1986 08 542.
 1986 07 353·
 1986 06 64
 1986 05 908.
 1986 04 3315.
 1986 03 4012.
 1986 02 586.
 1986 01 364.
 1985 12  555·
 1985 11  74
 1985 10  1214·
 1985 09  465.
 1985 08  371.
 1985 07  874.
 1985 06  95·
 1985 05  312·
 1985 04  25
 1985 03  557.
 1985 02  555.
 1985 01  3112·
 1984 12 885.
 1984 11 783.
 1984 10 824·
 1984 09 85.
 1984 08 198·
 1984 07 814·
 1984 05 476.
 1984 04 507·
 1984 03 379.
 1984 02 154.
 1984 01 315·
 1983 12  7013.
 1983 11  8810.
 1983 10  5513.
 1983 09  407·
 1983 08  67·
 1983 07  399·
 1983 06  211·
 1983 05  76·
 1983 04  205·
 1983 03  863.
 1983 02  818·
 1983 01  885.
 1982 12 19.
 1982 11 475·
 1982 10 4212·
 1982 09 656.
 1982 08 6114·
 1982 07 665·
 1982 06 616.
 1982 05 4415.
 1982 04 3911.
 1982 03 138.
 1982 02 383·
 1982 01 578·
 1981 12  9614·
 1981 11  82
 1981 10  9813.
 1981 09  612.
 1981 08  222·
 1981 07  918.
 1981 06  923·
 1981 05  387·
 1981 04  296.
 1981 03  864.
 1981 02  964·
 1981 01  931.
 1980 12 559·
 1980 11 345·
 1980 10 107.
 1980 09 583·
 1980 08 625.
 1980 07 315·
 1980 06 588.
 1980 05 914.
 1980 04 39
 1980 03 965·
 1980 02 926·
 1980 01 7311·
 1979 12  99
 1979 11  727·
 1979 10  872.
 1979 09  10
 1979 08  79
 1979 07  289·
 1979 06  436·
 1979 05  356.
 1979 04  4212.
 1979 03  6011.
 1979 02  8625.
 1979 01  313.
 1978 12 7711·
 1978 11 8517·
 1978 10 664·
 1978 09 966.
 1978 08 9611.
 1978 07 486.
 1978 06 5810·
 1978 05 224.
 1978 04 378.
 1978 03 192.
 1978 02 639·
 1978 01 126·
 1977 12  628·
 1977 11  9112.
 1977 10  67.
 1977 09  218·
 1977 08  619.
 1977 07  848·
 1977 06  389.
 1977 05  337·
 1977 04  457.
 1977 03  4113·
 1977 02  3423.
 1977 01  5318·
 1976 12 533·
 1976 11 335.
 1976 10 949·
 1976 09 145·
 1976 08 4714·
 1976 07 526.
 1976 06 4413.
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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 65 yrs. & over 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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