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 Series Title: Number Unemployed for 7-10 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 27228·
 1976 07 17316·
 1976 08 26412·
 1976 09 25170.
 1976 10 9224.
 1976 11 76295.
 1976 12 25189.
 1977 01  86216.
 1977 02  70257·
 1977 03  45267.
 1977 04  37145·
 1977 05  59192·
 1977 06  61215·
 1977 07  6319·
 1977 08  75403.
 1977 09  86158·
 1977 10  56185·
 1977 11  67257.
 1977 12  77171.
 1978 01 39187.
 1978 02 56229.
 1978 03 59221.
 1978 04 6163·
 1978 05 9182·
 1978 06 87195·
 1978 07 39285.
 1978 08 51374·
 1978 09 18145·
 1978 10 98198.
 1978 11 87249·
 1978 12 23211.
 1979 01  8212·
 1979 02  65276·
 1979 03  12189·
 1979 04  61161·
 1979 05  50150.
 1979 06  90177·
 1979 07  44291·
 1979 08  27329·
 1979 09  36171·
 1979 10  96195.
 1979 11  40225.
 1979 12  11196·
 1980 01 87210·
 1980 02 34258·
 1980 03 81275.
 1980 04 23144·
 1980 05 46203·
 1980 06 80192.
 1980 07 75344·
 1980 08 3415.
 1980 09 83202·
 1980 10 34263.
 1980 11 53287.
 1980 12 13211·
 1981 01  91233.
 1981 02  22263·
 1981 03  72245.
 1981 04  41204.
 1981 05  91239·
 1981 06  94174·
 1981 07  13319·
 1981 08  0376.
 1981 09  25167·
 1981 10  25232·
 1981 11  83279.
 1981 12  28228.
 1982 01 64270·
 1982 02 16315.
 1982 03 14228·
 1982 04 88209·
 1982 05 0241.
 1982 06 92259.
 1982 07 61425·
 1982 08 68509.
 1982 09 54249·
 1982 10 3276·
 1982 11 8336·
 1982 12 80215·
 1983 01  70240.
 1983 02  25243.
 1983 03  60253.
 1983 04  62211.
 1983 05  17219.
 1983 06  59250.
 1983 07  49435·
 1983 08  78461·
 1983 09  88184.
 1983 10  29219.
 1983 11  32268.
 1983 12  15183·
 1984 01 3145.
 1984 02 86198·
 1984 03 91234.
 1984 04 86151.
 1984 05 6217·
 1984 06 5151·
 1984 07 31304.
 1984 08 29284·
 1984 09 67156·
 1984 10 88177·
 1984 11 86172.
 1984 12 7207.
 1985 01  79192·
 1985 02  58187.
 1985 03  10213.
 1985 04  8141·
 1985 05  62145.
 1985 06  68136·
 1985 07  87326.
 1985 08  44319·
 1985 09  59163·
 1985 10  91211.
 1985 11  22206·
 1985 12  55174·
 1986 01 40178·
 1986 02 28198.
 1986 03 47206.
 1986 04 1192.
 1986 05 99157.
 1986 06 6157.
 1986 07 20207·
 1986 08 72225.
 1986 09 55148.
 1986 10 73237·
 1986 11 20206·
 1986 12 80194.
 1987 01  52163.
 1987 02  6238·
 1987 03  57185·
 1987 04  63200.
 1987 05  60113·
 1987 06  6139·
 1987 07  59243·
 1987 08  84263·
 1987 09  72102·
 1987 10  96156·
 1987 11  86153·
 1987 12  32132·
 1988 01 8150.
 1988 02 28190·
 1988 03 17207.
 1988 04 17156.
 1988 05 12168·
 1988 06 77117·
 1988 07 61240.
 1988 08 80253·
 1988 09 52123.
 1988 10 44136.
 1988 11 47118.
 1988 12 82125.
 1989 01  24132.
 1989 02  54105·
 1989 03  34123·
 1989 04  12102.
 1989 05  46138·
 1989 06  5795.
 1989 07  2183·
 1989 08  82221.
 1989 09  6384.
 1989 10  28140·
 1989 11  59136.
 1989 12  30152.
 1990 01 42155.
 1990 02 69182·
 1990 03 35136·
 1990 04 20121.
 1990 05 80139.
 1990 06 4110.
 1990 07 88178.
 1990 08 38220·
 1990 09 94108.
 1990 10 84147·
 1990 11 0139.
 1990 12 99179.
 1991 01  29192·
 1991 02  84180·
 1991 03  76203·
 1991 04  39170.
 1991 05  55167·
 1991 06  5163.
 1991 07  49246·
 1991 08  22257·
 1991 09  64161.
 1991 10  72211·
 1991 11  75202.
 1991 12  35206·
 1992 01 77163.
 1992 02 36230.
 1992 03 36245.
 1992 04 92170.
 1992 05 37188·
 1992 06 71160·
 1992 07 38311·
 1992 08 31290.
 1992 09 14166·
 1992 10 78179·
 1992 11 13220·
 1992 12 13193.
 1993 01  2144·
 1993 02  83238.
 1993 03  18176·
 1993 04  28146.
 1993 05  20197.
 1993 06  36150.
 1993 07  34245.
 1993 08  88257·
 1993 09  11125·
 1993 10  12169.
 1993 11  69237.
 1993 12  31151·
 1994 01 46156.
 1994 02 12239·
 1994 03 53177·
 1994 04 19227·
 1994 05 18186·
 1994 06 61194.
 1994 07 43356·
 1994 08 42310·
 1994 09 47148·
 1994 10 10203·
 1994 11 21191.
 1994 12 11181.
 1995 01  76161.
 1995 02  34213·
 1995 03  94181.
 1995 04  64199·
 1995 05  75179·
 1995 06  33208.
 1995 07  93461·
 1995 08  65284·
 1995 09  38197·
 1995 10  33266.
 1995 11  75199·
 1995 12  1196.
 1996 01 84238·
 1996 02 83203·
 1996 03 21237·
 1996 04 86229.
 1996 05 58180.
 1996 06 61154·
 1996 07 38334·
 1996 08 56295·
 1996 09 27177·
 1996 10 65213.
 1996 11 59221·
 1996 12 75211.
 1997 01  87198·
 1997 02  21254.
 1997 03  38233.
 1997 04  32139·
 1997 05  57202·
 1997 06  80193.
 1997 07  59346·
 1997 08  38267.
 1997 09  80189.
 1997 10  18177·
 1997 11  27208.
 1997 12  31128.
 1998 01 26196.
 1998 02 33161·
 1998 03 75195·
 1998 04 75166·
 1998 05 89144.
 1998 06 53220.
 1998 07 58294.
 1998 08 58225.
 1998 09 89202.
 1998 10 27173·
 1998 11 59203.
 1998 12 91197.
 1999 01  69207·
 1999 02  30196·
 1999 03  85206·
 1999 04  14162.
 1999 05  98172.
 1999 06  63131.
 1999 07  66163.
 1999 08  90262.
 1999 09  70164·
 1999 10  52204·
 1999 11  60177·
 1999 12  5133.
 2000 01 6174·
 2000 02 47176.
 2000 03 48212·
 2000 04 72144.
 2000 05 48145·
 2000 06 22159·
 2000 07 37237·
 2000 08 31234.
 2000 09 66144·
 2000 10 80177.
 2000 11 58185·
 2000 12 43128·
 2001 01  55182·
 2001 02  44154.
 2001 03  69183.
 2001 04  97165.
 2001 05  33174·
 2001 06  65144.
 2001 07  50241·
 2001 08  5235·
 2001 09  44148·
 2001 10  20221·
 2001 11  8253.


 2001 12  6133·
 2002 01 58187.
 2002 02 7171.
 2002 03 76204·
 2002 04 62188·
 2002 05 68172.
 2002 06 53201.
 2002 07 9301.
 2002 08 61290.
 2002 09 94231·
 2002 10 8192·
 2002 11 90211.
 2002 12 16189·
 2003 01  81168·
 2003 02  47185·

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 7-10 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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