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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 8192·
 1976 07 26392·
 1976 08 56188·
 1976 09 37140.
 1976 10 35185·
 1976 11 15156.
 1976 12 46159·
 1977 01  26153.
 1977 02  35187·
 1977 03  9110·
 1977 04  43118.
 1977 05  20108.
 1977 06  58188.
 1977 07  89386·
 1977 08  61169.
 1977 09  6396.
 1977 10  79208·
 1977 11  62103.
 1977 12  36128·
 1978 01 24134.
 1978 02 99137·
 1978 03 59133·
 1978 04 32107.
 1978 05 97122·
 1978 06 43123.
 1978 07 38382.
 1978 08 37145.
 1978 09 2132.
 1978 10 62198.
 1978 11 80121·
 1978 12 63147·
 1979 01  83127·
 1979 02  30160.
 1979 03  92102.
 1979 04  49123·
 1979 05  8119.
 1979 06  49155·
 1979 07  4340·
 1979 08  57116·
 1979 09  72140.
 1979 10  44218.
 1979 11  75140.
 1979 12  76146·
 1980 01 94143.
 1980 02 65175.
 1980 03 85113.
 1980 04 18126.
 1980 05 1994·
 1980 06 87202·
 1980 07 41425·
 1980 08 20109.
 1980 09 14127·
 1980 10 11207·
 1980 11 75157·
 1980 12 47109.
 1981 01  76108·
 1981 02  62152·
 1981 03  43143·
 1981 04  86101·
 1981 05  21160·
 1981 06  92191.
 1981 07  27296·
 1981 08  49143.
 1981 09  96118.
 1981 10  74200·
 1981 11  34142.
 1981 12  75128·
 1982 01 68136·
 1982 02 9179·
 1982 03 95136·
 1982 04 27151.
 1982 05 33157.
 1982 06 24190·
 1982 07 68429.
 1982 08 92165.
 1982 09 8134.
 1982 10 67167.
 1982 11 32114·
 1982 12 83127·
 1983 01  39140.
 1983 02  16185·
 1983 03  97144·
 1983 04  38126·
 1983 05  94131.
 1983 06  69189.
 1983 07  92385.
 1983 08  21202·
 1983 09  68148·
 1983 10  52205·
 1983 11  74153·
 1983 12  18140·
 1984 01 80134.
 1984 02 17140·
 1984 03 2699.
 1984 04 43119.
 1984 05 7396·
 1984 06 38164.
 1984 07 53344·
 1984 08 35145.
 1984 09 18121.
 1984 10 15172·
 1984 11 88121.
 1984 12 54130.
 1985 01  7111·
 1985 02  74154.
 1985 03  87112.
 1985 04  90148.
 1985 05  61123·
 1985 06  66161·
 1985 07  32313.
 1985 08  56131·
 1985 09  2487.
 1985 10  65166·
 1985 11  2996.
 1985 12  89107.
 1986 01 64146·
 1986 02 72146.
 1986 03 11110.
 1986 04 52109·
 1986 05 75108·
 1986 06 13153.
 1986 07 32253.
 1986 08 34125.
 1986 09 78131.
 1986 10 38169·
 1986 11 77113·
 1986 12 4693·
 1987 01  1585·
 1987 02  22155·
 1987 03  50136·
 1987 04  2786·
 1987 05  57117.
 1987 06  66132·
 1987 07  83263·
 1987 08  40118·
 1987 09  9774·
 1987 10  95154·
 1987 11  34114.
 1987 12  73108.
 1988 01 5494.
 1988 02 59117.
 1988 03 8484·
 1988 04 3898·
 1988 05 73115.
 1988 06 35128.
 1988 07 39225·
 1988 08 7385.
 1988 09 2296·
 1988 10 21127.
 1988 11 3298.
 1988 12 4289.
 1989 01  97117·
 1989 02  45143.
 1989 03  1845.
 1989 04  3269·
 1989 05  1580.
 1989 06  55131·
 1989 07  79237.
 1989 08  57148.
 1989 09  2287·
 1989 10  28113·
 1989 11  23109·
 1989 12  5398.
 1990 01 85127·
 1990 02 6399.
 1990 03 80101·
 1990 04 84100.
 1990 05 098·
 1990 06 8797·
 1990 07 8234.
 1990 08 3880·
 1990 09 8683·
 1990 10 49167·
 1990 11 8876·
 1990 12 28124·
 1991 01  86112·
 1991 02  25153.
 1991 03  26111.
 1991 04  9174.
 1991 05  71105.
 1991 06  16138·
 1991 07  55291·
 1991 08  90129·
 1991 09  33114.
 1991 10  47143.
 1991 11  30115.
 1991 12  14127.
 1992 01 92102.
 1992 02 67140.
 1992 03 34106·
 1992 04 7561.
 1992 05 92108·
 1992 06 54151·
 1992 07 73302.
 1992 08 12116.
 1992 09 393.
 1992 10 6138·
 1992 11 79108.
 1992 12 86122·
 1993 01  19112.
 1993 02  49112·
 1993 03  9103.
 1993 04  86111.
 1993 05  5895.
 1993 06  35158·
 1993 07  43272·
 1993 08  26128·
 1993 09  6491.
 1993 10  37165.
 1993 11  90107·
 1993 12  41140·
 1994 01 872.
 1994 02 57126·
 1994 03 7984.
 1994 04 9769.
 1994 05 83129·
 1994 06 20150·
 1994 07 69144.
 1994 08 79127.
 1994 09 837.
 1994 10 76133.
 1994 11 4188·
 1994 12 3108.
 1995 01  2870.
 1995 02  0124·
 1995 03  091.
 1995 04  452.
 1995 05  11127·
 1995 06  94117·
 1995 07  80205·
 1995 08  47122.
 1995 09  5158·
 1995 10  82115·
 1995 11  36111·
 1995 12  18124.
 1996 01 6978·
 1996 02 16155.
 1996 03 5182.
 1996 04 3259·
 1996 05 7100.
 1996 06 69152.
 1996 07 30197·
 1996 08 2584.
 1996 09 3559·
 1996 10 43140·
 1996 11 694·
 1996 12 61134·
 1997 01  4856.
 1997 02  63108·
 1997 03  35101.
 1997 04  2867·
 1997 05  6488·
 1997 06  80135.
 1997 07  99184.
 1997 08  38142·
 1997 09  2735·
 1997 10  6898·
 1997 11  580·
 1997 12  2999·
 1998 01 731.
 1998 02 28136·
 1998 03 83111·
 1998 04 6557·
 1998 05 9874.
 1998 06 86127·
 1998 07 91164.
 1998 08 3392.
 1998 09 1954.
 1998 10 92135·
 1998 11 10162·
 1998 12 4656·
 1999 01  1460.
 1999 02  22102.
 1999 03  4865.
 1999 04  4291·
 1999 05  5285·
 1999 06  7588·
 1999 07  35228.
 1999 08  8483.
 1999 09  2761·
 1999 10  77113.
 1999 11  2897.
 1999 12  59110.
 2000 01 5951.
 2000 02 79121.
 2000 03 1076.
 2000 04 8177·
 2000 05 9171·
 2000 06 5695.
 2000 07 86170·
 2000 08 8896·
 2000 09 9447·
 2000 10 879·
 2000 11 8887.
 2000 12 42127.
 2001 01  6071·
 2001 02  61104·
 2001 03  7379·
 2001 04  3166·
 2001 05  935.
 2001 06  6585·
 2001 07  22201.
 2001 08  6994·
 2001 09  8599.
 2001 10  95103·
 2001 11  4379·


 2001 12  9290·
 2002 01 5845·
 2002 02 53118.
 2002 03 6662·
 2002 04 6596·
 2002 05 2167·
 2002 06 62142·
 2002 07 48235·
 2002 08 7494.
 2002 09 9459·
 2002 10 7482·
 2002 11 7281·
 2002 12 3381.
 2003 01  2024·
 2003 02  65110.

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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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