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 Series Title: Population Level - Vietnam Era veterans 40 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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 2002 12 27822.
 2002 11 367846.
 2002 10 227836.
 2002 09 187841·
 2002 08 87848·
 2002 07 777852·
 2002 06 127858.
 2002 05 307844·
 2002 04 307847.
 2002 03 667852.
 2002 02 537857·
 2002 01 927889.
 2001 12  197894·
 2001 11  857901.
 2001 10  587626.
 2001 09  467633.
 2001 08  507638.
 2001 07  427676.
 2001 06  657648·
 2001 05  627654·
 2001 04  237659.
 2001 03  667665.
 2001 02  367669·
 2001 01  347677·
 2000 12 647680·
 2000 11 167687.
 2000 10 607693·
 2000 09 817697.
 2000 08 247703.
 2000 07 727698·
 2000 06 497702.
 2000 05 487708·
 2000 04 777713.
 2000 03 417717·
 2000 02 427725.
 2000 01 37818·
 1999 12  247734·
 1999 11  567739.
 1999 10  07745·
 1999 09  417749·
 1999 08  917754.
 1999 07  727758.
 1999 06  137764·
 1999 05  817768.
 1999 04  287772·
 1999 03  717778·
 1999 02  937782.
 1999 01  667786·
 1998 12 107774.
 1998 11 607778·
 1998 10 777786·
 1998 09 677797·
 1998 08 377804.
 1998 07 717799.
 1998 06 297482.
 1998 05 777812·
 1998 04 367812·
 1998 03 607815·
 1998 02 377811.
 1998 01 157800.
 1997 12  567781·
 1997 11  87775.
 1997 10  137779.
 1997 09  267784.
 1997 08  737773.
 1997 07  247787.
 1997 06  957810·
 1997 05  787803.
 1997 04  877814·
 1997 03  377794·
 1997 02  477788.
 1997 01  667785.
 1996 12 237755.
 1996 11 57760.
 1996 10 567760.
 1996 09 97746.
 1996 08 337709.
 1996 07 97721·
 1996 06 357726.
 1996 05 517728.
 1996 04 917736.
 1996 03 567709.
 1996 02 227687·
 1996 01 627671·
 1995 12  977651·
 1995 11  787673.
 1995 10  807628·
 1995 09  347658·
 1995 08  787637.
 1995 07  317593·
 1995 06  967561.
 1995 05  887564.
 1995 04  847566.
 1995 03  977517·
 1995 02  847577.
 1995 01  687528.
 1994 12 897492.
 1994 11 837479·
 1994 10 827439.
 1994 09 437711.
 1994 08 957456·
 1994 07 207403·
 1994 06 527391·
 1994 05 67404·
 1994 04 267436.
 1994 03 647440.
 1994 02 827379·
 1994 01 777374.
 1993 12  337284.
 1993 11  987266·
 1993 10  867248·
 1993 09  17230·
 1993 08  927213.
 1993 07  297194·
 1993 06  07172·
 1993 05  467154.
 1993 04  37138.
 1993 03  877116·
 1993 02  897094.
 1993 01  67071.
 1992 12 917048·
 1992 11 297025·
 1992 10 397004.
 1992 09 16983.
 1992 08 76961·
 1992 07 386939·
 1992 06 646916.
 1992 05 756894.
 1992 04 266872.
 1992 03 196846.
 1992 02 26821·
 1992 01 966796.
 1991 12  486770.
 1991 11  46746.
 1991 10  156720·
 1991 09  606696·
 1991 08  996670.
 1991 07  516646.
 1991 06  926619·
 1991 05  856594.
 1991 04  306531.
 1991 03  406503·
 1991 02  456473·
 1991 01  156443·
 1990 12 156414.
 1990 11 786370.
 1990 10 126341·
 1990 09 196308·
 1990 08 556276·
 1990 07 986243.
 1990 06 566209.
 1990 05 936177.
 1990 04 756137.
 1990 03 546091·
 1990 02 656045.
 1990 01 535999·
 1989 12  265953.
 1989 11  305905·
 1989 10  525860.
 1989 09  465815.
 1989 08  845769·
 1989 07  325724.
 1989 06  555679·
 1989 05  405633·
 1989 04  485549·
 1989 03  915496·
 1989 02  375445.
 1989 01  295397·
 1988 12 435342·
 1988 11 655293·
 1988 10 855243·
 1988 09 325187·
 1988 08 225135.
 1988 07 345078.
 1988 06 125023.
 1988 05 934968.
 1988 04 584885.
 1988 03 54827.
 1988 02 574767.
 1988 01 824706·
 1987 12  524648.
 1987 11  104590.
 1987 10  824519·
 1987 09  934460.
 1987 08  304400·
 1987 07  64339·
 1987 06  754279·
 1987 05  454217.
 1987 04  414141·
 1987 03  754079·
 1987 02  494016.
 1987 01  823953.
 1986 12 623890.
 1986 11 223826·
 1986 10 413762.
 1986 09 733695·
 1986 08 933631.
 1986 07 803566·
 1986 06 163501·
 1986 05 123435.
 1986 04 583371.
 1986 03 53369.
 1986 02 603313.
 1986 01 183257.
 1985 12  93201·
 1985 11  793144·
 1985 10  873064.
 1985 09  363021·
 1985 08  212976.
 1985 07  82931·
 1985 06  352886·
 1985 05  352841.
 1985 04  952796.
 1985 03  252750·
 1985 02  652704·
 1985 01  92661.
 1984 12 552614.
 1984 11 852579·
 1984 10 672543·
 1984 09 762508·
 1984 08 522473.
 1984 07 712439.
 1984 06 532402.
 1984 05 822373.
 1984 04 612335·
 1984 03 892297·
 1984 02 612261·
 1984 01 952225·
 1983 12  832189·
 1983 11  712152.
 1983 10  542117.
 1983 09  92072·
 1983 08  442036·
 1983 07  732000·
 1983 06  191965·
 1983 05  441928·
 1983 04  931893.
 1983 03  761761.
 1983 02  711728·
 1983 01  441691.
 1982 12 61655.
 1982 11 891620·
 1982 10 461652.
 1982 09 771623·
 1982 08 831595.
 1982 07 421566·
 1982 06 71537.
 1982 05 381510.
 1982 04 511481.
 1982 03 911452.
 1982 02 431424·
 1982 01 471396·
 1981 12  581367·
 1981 11  201338·
 1981 10  661302.
 1981 09  461282·
 1981 08  811263.
 1981 07  331241.
 1981 06  141221.
 1981 05  61203·
 1981 04  201182·
 1981 03  631159·
 1981 02  501143.
 1981 01  211120·
 1980 12 01101.
 1980 11 671078.
 1980 10 621050·
 1980 09 91035·
 1980 08 721019·
 1980 07 261005·
 1980 06 63991·
 1980 05 15977.
 1980 04 11963.
 1980 03 46949·
 1980 02 90935.
 1980 01 8920.
 1979 12  18905·
 1979 11  60892·
 1979 10  7884.
 1979 09  82874·
 1979 08  17864·
 1979 07  24853.
 1979 06  2842.
 1979 05  57831.
 1979 04  60809.
 1979 03  20810.
 1979 02  87798.
 1979 01  75787·
 1978 12 21775.
 1978 11 54762·
 1978 10 0751.
 1978 09 8735.
 1978 08 2724·
 1978 07 58717·
 1978 06 4710·
 1978 05 47702.
 1978 04 27695·
 1978 03 88688·
 1978 02 87680.
 1978 01 14672.
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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 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Population Level - Vietnam Era veterans 40 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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