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 Series Title: Number Unemployed for 5-6 weeks 25-34 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  53110.
 2003 01  0111.
 2002 12 79176.
 2002 11 55119.
 2002 10 1877.
 2002 09 5855·
 2002 08 7086·
 2002 07 7670.
 2002 06 8199·
 2002 05 4690.
 2002 04 9291.
 2002 03 26102·
 2002 02 92145·
 2002 01 4599.
 2001 12  60193·
 2001 11  51136·
 2001 10  2685.
 2001 09  6255.
 2001 08  1172.
 2001 07  1997.
 2001 06  8489·
 2001 05  2977.
 2001 04  784.
 2001 03  24102·
 2001 02  9191.
 2001 01  2123·
 2000 12 37126·
 2000 11 8586·
 2000 10 9751.
 2000 09 6382·
 2000 08 1476·
 2000 07 4771.
 2000 06 7977.
 2000 05 1938·
 2000 04 7574·
 2000 03 7961·
 2000 02 35143.
 2000 01 170·
 1999 12  8480.
 1999 11  7578·
 1999 10  9371·
 1999 09  6557.
 1999 08  2859·
 1999 07  5491.
 1999 06  287·
 1999 05  9458·
 1999 04  2064.
 1999 03  60102·
 1999 02  37129·
 1999 01  9498·
 1998 12 98113.
 1998 11 62118.
 1998 10 99117.
 1998 09 9794.
 1998 08 26110·
 1998 07 5598·
 1998 06 1392·
 1998 05 6048.
 1998 04 9032.
 1998 03 57117·
 1998 02 30166.
 1998 01 6354·
 1997 12  3150·
 1997 11  13113.
 1997 10  2598.
 1997 09  1452·
 1997 08  5107·
 1997 07  9280.
 1997 06  98100·
 1997 05  4583.
 1997 04  5755.
 1997 03  88122·
 1997 02  76109.
 1997 01  1197·
 1996 12 47163·
 1996 11 21131·
 1996 10 7158.
 1996 09 9544.
 1996 08 89110.
 1996 07 33108.
 1996 06 68116·
 1996 05 387.
 1996 04 1997.
 1996 03 95122·
 1996 02 60200·
 1996 01 68107.
 1995 12  2156·
 1995 11  1128·
 1995 10  6137.
 1995 09  4485·
 1995 08  25102.
 1995 07  69100·
 1995 06  58142.
 1995 05  1595.
 1995 04  170·
 1995 03  44141·
 1995 02  92211·
 1995 01  8776.
 1994 12 67170.
 1994 11 95106·
 1994 10 7151.
 1994 09 9188·
 1994 08 87154·
 1994 07 16122.
 1994 06 2993.
 1994 05 84119·
 1994 04 4992·
 1994 03 27100.
 1994 02 9221·
 1994 01 48123·
 1993 12  65185·
 1993 11  71178.
 1993 10  21202.
 1993 09  89155.
 1993 08  73198·
 1993 07  18180·
 1993 06  66183·
 1993 05  40165·
 1993 04  37163.
 1993 03  61183.
 1993 02  70256·
 1993 01  56171.
 1992 12 44233·
 1992 11 20221.
 1992 10 83180·
 1992 09 19242·
 1992 08 6165·
 1992 07 39235.
 1992 06 80186·
 1992 05 36194.
 1992 04 63180·
 1992 03 87170.
 1992 02 62281·
 1992 01 39241.
 1991 12  76249·
 1991 11  59222.
 1991 10  53209·
 1991 09  84159.
 1991 08  34140.
 1991 07  73188·
 1991 06  6199·
 1991 05  53168·
 1991 04  50199·
 1991 03  73211.
 1991 02  94264·
 1991 01  52194.
 1990 12 61222.
 1990 11 29194.
 1990 10 18158·
 1990 09 14186·
 1990 08 30156.
 1990 07 35213.
 1990 06 4132.
 1990 05 94171·
 1990 04 46198·
 1990 03 10153.
 1990 02 3206·
 1990 01 75189·
 1989 12  20176·
 1989 11  99128.
 1989 10  88161·
 1989 09  63160·
 1989 08  92148.
 1989 07  69162·
 1989 06  62145·
 1989 05  89149.
 1989 04  23183.
 1989 03  16158·
 1989 02  48192.
 1989 01  11187.
 1988 12 3195·
 1988 11 58216·
 1988 10 98189·
 1988 09 10132·
 1988 08 43140.
 1988 07 40194.
 1988 06 88142.
 1988 05 92119·
 1988 04 81138·
 1988 03 31154.
 1988 02 16211·
 1988 01 90233.
 1987 12  81193·
 1987 11  24212.
 1987 10  10176.
 1987 09  60161·
 1987 08  31179·
 1987 07  40133.
 1987 06  18195·
 1987 05  83136·
 1987 04  42156·
 1987 03  22194.
 1987 02  17262·
 1987 01  66239·
 1986 12 54219·
 1986 11 40225.
 1986 10 7211.
 1986 09 41170.
 1986 08 29185.
 1986 07 87208·
 1986 06 14167·
 1986 05 65167.
 1986 04 54182.
 1986 03 83196.
 1986 02 87259.
 1986 01 19196.
 1985 12  44222·
 1985 11  71177·
 1985 10  2202·
 1985 09  9201.
 1985 08  35181·
 1985 07  22219.
 1985 06  60159·
 1985 05  68176·
 1985 04  91186·
 1985 03  28180·
 1985 02  86222·
 1985 01  52211·
 1984 12 99195.
 1984 11 10185.
 1984 10 30155.
 1984 09 42177·
 1984 08 72164.
 1984 07 11218·
 1984 06 67162·
 1984 05 46167·
 1984 04 49139.
 1984 03 0174.
 1984 02 99265·
 1984 01 95209·
 1983 12  92212·
 1983 11  73188·
 1983 10  50211.
 1983 09  46193·
 1983 08  89193.
 1983 07  47214.
 1983 06  71184.
 1983 05  79179·
 1983 04  53175·
 1983 03  67209.
 1983 02  37299·
 1983 01  3262·
 1982 12 22275.
 1982 11 2261.
 1982 10 49274.
 1982 09 48263·
 1982 08 58215.
 1982 07 46309.
 1982 06 32190·
 1982 05 71183.
 1982 04 50185·
 1982 03 19200·
 1982 02 37228.
 1982 01 54231.
 1981 12  11261.
 1981 11  64236.
 1981 10  38202.
 1981 09  4161.
 1981 08  78167·
 1981 07  50193·
 1981 06  36141·
 1981 05  51148·
 1981 04  14155·
 1981 03  73175·
 1981 02  57219·
 1981 01  53189·
 1980 12 7214·
 1980 11 50163·
 1980 10 51162·
 1980 09 92179.
 1980 08 71157.
 1980 07 27228.
 1980 06 93161.
 1980 05 74157.
 1980 04 42155.
 1980 03 71162.
 1980 02 84182·
 1980 01 30156.
 1979 12  84137.
 1979 11  78146.
 1979 10  50112·
 1979 09  1795·
 1979 08  85144·
 1979 07  67184·
 1979 06  39108.
 1979 05  18104.
 1979 04  5796.
 1979 03  81129·
 1979 02  29161.
 1979 01  38146.
 1978 12 39140·
 1978 11 90125.
 1978 10 19113.
 1978 09 9111·
 1978 08 94170.
 1978 07 88125.
 1978 06 3598·
 1978 05 88110.
 1978 04 9120·
 1978 03 93121·
 1978 02 27118.
 1978 01 57150·
 1977 12  96117·
 1977 11  51131.
 1977 10  70134.
 1977 09  21111.
 1977 08  95160.
 1977 07  31162.
 1977 06  65134.
 1977 05  14124·
 1977 04  6899.
 1977 03  25113.
 1977 02  38187·
 1977 01  91196·
 1976 12 3131.
 1976 11 55150·
 1976 10 38155·
 1976 09 33130·
 1976 08 12152·
 1976 07 63133·
 1976 06 41118.
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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 5-6 weeks 25-34 yrs.: 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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