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 Series Title: Number Unemployed for 5-6 weeks 16-19 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 49192·
 1976 07 97392.
 1976 08 87188.
 1976 09 33140.
 1976 10 75185.
 1976 11 55156.
 1976 12 14159·
 1977 01  28153·
 1977 02  50187·
 1977 03  92110·
 1977 04  24118.
 1977 05  3108.
 1977 06  22188·
 1977 07  90386·
 1977 08  28169·
 1977 09  196·
 1977 10  68208·
 1977 11  56103·
 1977 12  65128.
 1978 01 93134·
 1978 02 88137·
 1978 03 22133.
 1978 04 99107·
 1978 05 73122.
 1978 06 6123.
 1978 07 45382·
 1978 08 15145.
 1978 09 58132·
 1978 10 75198·
 1978 11 5121·
 1978 12 29147·
 1979 01  95127.
 1979 02  68160·
 1979 03  10102·
 1979 04  77123.
 1979 05  51119.
 1979 06  86155·
 1979 07  91340.
 1979 08  22116.
 1979 09  21140.
 1979 10  56218·
 1979 11  4140·
 1979 12  53146.
 1980 01 24143·
 1980 02 26175.
 1980 03 33113.
 1980 04 82126.
 1980 05 494.
 1980 06 73202.
 1980 07 82425.
 1980 08 47109·
 1980 09 31127.
 1980 10 97207·
 1980 11 84157.
 1980 12 11109.
 1981 01  98108·
 1981 02  23152.
 1981 03  96143·
 1981 04  61101·
 1981 05  24160·
 1981 06  1191.
 1981 07  99296·
 1981 08  12143.
 1981 09  55118·
 1981 10  8200.
 1981 11  99142·
 1981 12  0128·
 1982 01 58136.
 1982 02 43179.
 1982 03 28136.
 1982 04 89151·
 1982 05 28157.
 1982 06 32190·
 1982 07 44429·
 1982 08 66165.
 1982 09 84134·
 1982 10 26167·
 1982 11 27114.
 1982 12 44127·
 1983 01  71140.
 1983 02  98185·
 1983 03  85144.
 1983 04  61126.
 1983 05  57131·
 1983 06  51189·
 1983 07  48385·
 1983 08  81202.
 1983 09  37148·
 1983 10  10205.
 1983 11  74153.
 1983 12  91140.
 1984 01 30134.
 1984 02 24140·
 1984 03 4499·
 1984 04 3119.
 1984 05 7996.
 1984 06 69164.
 1984 07 65344·
 1984 08 56145.
 1984 09 54121·
 1984 10 46172.
 1984 11 68121·
 1984 12 13130.
 1985 01  50111·
 1985 02  79154.
 1985 03  11112.
 1985 04  61148·
 1985 05  85123.
 1985 06  21161.
 1985 07  74313·
 1985 08  14131·
 1985 09  387.
 1985 10  45166·
 1985 11  6596.
 1985 12  9107.
 1986 01 74146.
 1986 02 52146·
 1986 03 14110·
 1986 04 10109.
 1986 05 91108·
 1986 06 67153·
 1986 07 79253.
 1986 08 3125.
 1986 09 74131.
 1986 10 42169.
 1986 11 42113.
 1986 12 293·
 1987 01  6885.
 1987 02  50155.
 1987 03  8136.
 1987 04  4686.
 1987 05  40117·
 1987 06  94132·
 1987 07  10263·
 1987 08  96118·
 1987 09  8674.
 1987 10  97154.
 1987 11  5114.
 1987 12  40108·
 1988 01 2494.
 1988 02 11117·
 1988 03 7384.
 1988 04 9398.
 1988 05 99115·
 1988 06 11128·
 1988 07 21225·
 1988 08 9085·
 1988 09 7996·
 1988 10 98127·
 1988 11 8298.
 1988 12 9689·
 1989 01  59117.
 1989 02  95143.
 1989 03  1145.
 1989 04  9969.
 1989 05  5980·
 1989 06  55131·
 1989 07  91237·
 1989 08  10148.
 1989 09  2187.
 1989 10  53113·
 1989 11  28109·
 1989 12  6898.
 1990 01 16127.
 1990 02 8899.
 1990 03 54101·
 1990 04 37100.
 1990 05 3698.
 1990 06 8697·
 1990 07 25234.
 1990 08 380·
 1990 09 383·
 1990 10 98167·
 1990 11 2376.
 1990 12 79124·
 1991 01  59112.
 1991 02  99153.
 1991 03  55111·
 1991 04  574.
 1991 05  74105.
 1991 06  89138.
 1991 07  52291·
 1991 08  41129.
 1991 09  42114.
 1991 10  94143.
 1991 11  71115.
 1991 12  77127·
 1992 01 82102·
 1992 02 65140·
 1992 03 93106.
 1992 04 2661·
 1992 05 39108·
 1992 06 76151·
 1992 07 26302·
 1992 08 24116·
 1992 09 8093·
 1992 10 27138.
 1992 11 0108.
 1992 12 36122·
 1993 01  2112.
 1993 02  45112·
 1993 03  73103·
 1993 04  48111.
 1993 05  2195.
 1993 06  80158.
 1993 07  26272.
 1993 08  74128.
 1993 09  8491·
 1993 10  7165.
 1993 11  65107.
 1993 12  52140·
 1994 01 5972·
 1994 02 27126·
 1994 03 2484·
 1994 04 4569·
 1994 05 39129.
 1994 06 64150·
 1994 07 57144·
 1994 08 39127.
 1994 09 4537·
 1994 10 70133·
 1994 11 4688.
 1994 12 50108.
 1995 01  2170.
 1995 02  19124.
 1995 03  091·
 1995 04  1352.
 1995 05  35127·
 1995 06  13117·
 1995 07  48205.
 1995 08  93122·
 1995 09  8158·
 1995 10  75115.
 1995 11  47111.
 1995 12  77124·
 1996 01 7978·
 1996 02 58155·
 1996 03 8082.
 1996 04 7759.
 1996 05 73100·
 1996 06 36152·
 1996 07 53197.
 1996 08 3384·
 1996 09 3359.
 1996 10 10140.
 1996 11 9794.
 1996 12 6134·
 1997 01  5156·
 1997 02  5108·
 1997 03  70101·
 1997 04  8567.
 1997 05  4888·
 1997 06  71135.
 1997 07  52184·
 1997 08  82142.
 1997 09  6735.
 1997 10  8398.
 1997 11  5180.
 1997 12  3699·
 1998 01 7831.
 1998 02 44136.
 1998 03 97111·
 1998 04 857.
 1998 05 7574.
 1998 06 76127.
 1998 07 49164·
 1998 08 8892·
 1998 09 7754·
 1998 10 32135·
 1998 11 87162·
 1998 12 8956·
 1999 01  2760·
 1999 02  86102.
 1999 03  1765.
 1999 04  4791·
 1999 05  9685·
 1999 06  3988.
 1999 07  73228·
 1999 08  2583·
 1999 09  7761.
 1999 10  16113.
 1999 11  1097.
 1999 12  13110·
 2000 01 9051·
 2000 02 67121.
 2000 03 976.
 2000 04 2277·
 2000 05 7871.
 2000 06 6995.
 2000 07 79170·
 2000 08 9196·
 2000 09 1147·
 2000 10 2079·
 2000 11 4987.
 2000 12 82127.
 2001 01  8371.
 2001 02  48104.
 2001 03  7779·
 2001 04  8366·
 2001 05  1335·
 2001 06  185.
 2001 07  45201·
 2001 08  894·
 2001 09  4699.
 2001 10  56103.
 2001 11  5979·


 2001 12  9490.
 2002 01 4945·
 2002 02 13118.
 2002 03 5162·
 2002 04 396·
 2002 05 1867.
 2002 06 97142.
 2002 07 77235·
 2002 08 2594.
 2002 09 7259·
 2002 10 5982·
 2002 11 1981.
 2002 12 7181.
 2003 01  5424.
 2003 02  74110·

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 16-19 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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