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 Series Title: Number Unemployed for 7-10 weeks 16-19 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  24107·
 2003 01  1494.
 2002 12 22104·
 2002 11 51111.
 2002 10 2996.
 2002 09 83145·
 2002 08 46162·
 2002 07 77149.
 2002 06 19100.
 2002 05 7099.
 2002 04 89114·
 2002 03 20107·
 2002 02 4477·
 2002 01 5698.
 2001 12  6671·
 2001 11  25168·
 2001 10  81112.
 2001 09  4782·
 2001 08  12130.
 2001 07  61130.
 2001 06  2887.
 2001 05  7591·
 2001 04  9287.
 2001 03  21109.
 2001 02  1298.
 2001 01  98124.
 2000 12 9372·
 2000 11 25107.
 2000 10 8395.
 2000 09 9588·
 2000 08 28122.
 2000 07 18134·
 2000 06 1792.
 2000 05 7580·
 2000 04 3587·
 2000 03 67117·
 2000 02 1489.
 2000 01 68111.
 1999 12  7786·
 1999 11  6897·
 1999 10  98113·
 1999 09  3276.
 1999 08  42135·
 1999 07  4084·
 1999 06  2154.
 1999 05  4791·
 1999 04  4385·
 1999 03  26108·
 1999 02  59108·
 1999 01  21126.
 1998 12 17121·
 1998 11 96120.
 1998 10 10100·
 1998 09 86101·
 1998 08 27131·
 1998 07 44169·
 1998 06 2125.
 1998 05 9786·
 1998 04 6298.
 1998 03 90127·
 1998 02 8394.
 1998 01 37127·
 1997 12  3567·
 1997 11  76101.
 1997 10  3183.
 1997 09  12100·
 1997 08  82154·
 1997 07  73186·
 1997 06  44105·
 1997 05  54119.
 1997 04  6772·
 1997 03  74150.
 1997 02  48124·
 1997 01  20118·
 1996 12 78131.
 1996 11 99126·
 1996 10 94124·
 1996 09 90119.
 1996 08 28156.
 1996 07 92202·
 1996 06 5887·
 1996 05 73102.
 1996 04 55109.
 1996 03 22132·
 1996 02 38115.
 1996 01 98130.
 1995 12  21105.
 1995 11  82102.
 1995 10  62161.
 1995 09  24105.
 1995 08  15147·
 1995 07  93246·
 1995 06  79112.
 1995 05  31100.
 1995 04  49134.
 1995 03  9996.
 1995 02  65123·
 1995 01  2798.
 1994 12 62112·
 1994 11 6895·
 1994 10 20116·
 1994 09 4382·
 1994 08 15189·
 1994 07 94211.
 1994 06 69103.
 1994 05 35124·
 1994 04 98118·
 1994 03 98104·
 1994 02 63145·
 1994 01 85105·
 1993 12  2290·
 1993 11  22158.
 1993 10  7796·
 1993 09  190·
 1993 08  26138.
 1993 07  36157·
 1993 06  12100·
 1993 05  13106·
 1993 04  7399.
 1993 03  35103.
 1993 02  93136·
 1993 01  7881.
 1992 12 51120·
 1992 11 37133·
 1992 10 7177.
 1992 09 7777·
 1992 08 72149·
 1992 07 86161·
 1992 06 2087.
 1992 05 19116·
 1992 04 7496.
 1992 03 52152.
 1992 02 41138.
 1992 01 33103.
 1991 12  21112.
 1991 11  29112·
 1991 10  60120·
 1991 09  7795·
 1991 08  0129.
 1991 07  36133·
 1991 06  2791·
 1991 05  3293.
 1991 04  2490.
 1991 03  16107·
 1991 02  1899·
 1991 01  6108.
 1990 12 31102·
 1990 11 4077·
 1990 10 3290·
 1990 09 2955.
 1990 08 83124.
 1990 07 2100.
 1990 06 9553.
 1990 05 5884·
 1990 04 7065.
 1990 03 1958·
 1990 02 58104.
 1990 01 75102.
 1989 12  395.
 1989 11  3882.
 1989 10  9598·
 1989 09  8750.
 1989 08  20132.
 1989 07  26115.
 1989 06  959.
 1989 05  2574.
 1989 04  8550·
 1989 03  7877.
 1989 02  2274.
 1989 01  4674·
 1988 12 8656·
 1988 11 1371·
 1988 10 8782·
 1988 09 3168.
 1988 08 34130.
 1988 07 75114·
 1988 06 7965·
 1988 05 8888·
 1988 04 6898·
 1988 03 34141.
 1988 02 97135·
 1988 01 47107·
 1987 12  5284.
 1987 11  8388·
 1987 10  6795.
 1987 09  6649·
 1987 08  72155·
 1987 07  41127·
 1987 06  4162.
 1987 05  2572.
 1987 04  42113·
 1987 03  5496·
 1987 02  92133.
 1987 01  3389·
 1986 12 0116·
 1986 11 89104.
 1986 10 22122·
 1986 09 1986·
 1986 08 8131.
 1986 07 41112·
 1986 06 5577·
 1986 05 4289.
 1986 04 5496·
 1986 03 30107·
 1986 02 4395·
 1986 01 8299·
 1985 12  52109·
 1985 11  99122·
 1985 10  60118.
 1985 09  4783.
 1985 08  39175.
 1985 07  17186.
 1985 06  871·
 1985 05  6780.
 1985 04  7877·
 1985 03  78126.
 1985 02  10122.
 1985 01  0104·
 1984 12 58126.
 1984 11 391·
 1984 10 1993·
 1984 09 2778.
 1984 08 90134.
 1984 07 34153·
 1984 06 977.
 1984 05 55120·
 1984 04 1276·
 1984 03 42131.
 1984 02 80124·
 1984 01 1694.
 1983 12  89112.
 1983 11  19141.
 1983 10  59108·
 1983 09  65102.
 1983 08  7228·
 1983 07  86197·
 1983 06  94128·
 1983 05  85119·
 1983 04  79114·
 1983 03  86143·
 1983 02  63144.
 1983 01  83139.
 1982 12 43128.
 1982 11 89185·
 1982 10 64135·
 1982 09 89131.
 1982 08 63281·
 1982 07 89233.
 1982 06 24151.
 1982 05 62142·
 1982 04 26128.
 1982 03 4133·
 1982 02 93170·
 1982 01 81162.
 1981 12  45134·
 1981 11  79168·
 1981 10  47115.
 1981 09  5568.
 1981 08  58211·
 1981 07  84158·
 1981 06  8587·
 1981 05  14125.
 1981 04  28122·
 1981 03  12143.
 1981 02  33152.
 1981 01  15157·
 1980 12 42120·
 1980 11 82166·
 1980 10 41135.
 1980 09 40105.
 1980 08 14210.
 1980 07 39174.
 1980 06 86106·
 1980 05 96125·
 1980 04 8182.
 1980 03 51147.
 1980 02 66148.
 1980 01 14117·
 1979 12  6109.
 1979 11  13118·
 1979 10  997.
 1979 09  5086.
 1979 08  78152·
 1979 07  44152.
 1979 06  6382.
 1979 05  8770.
 1979 04  9101.
 1979 03  89104.
 1979 02  5157.
 1979 01  31130.
 1978 12 37124·
 1978 11 15133·
 1978 10 3593.
 1978 09 1473·
 1978 08 25166·
 1978 07 18138.
 1978 06 7880.
 1978 05 9297.
 1978 04 6087·
 1978 03 17127.
 1978 02 84146·
 1978 01 47110·
 1977 12  56109.
 1977 11  55148.
 1977 10  3095.
 1977 09  8670.
 1977 08  51200·
 1977 07  2168.
 1977 06  14127·
 1977 05  4099·
 1977 04  872.
 1977 03  52163.
 1977 02  64149·
 1977 01  65110.
 1976 12 1394.
 1976 11 24153.
 1976 10 29117.
 1976 09 4599·
 1976 08 81200·
 1976 07 63176·
 1976 06 84121.
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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 7-10 weeks 16-19 yrs. 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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