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 Series Title: Number Unemployed for 5-6 weeks 16-19 yrs. Male: NSA (Thousands)
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 1976 06 7595·
 1976 07 23220.
 1976 08 8597.
 1976 09 8961.
 1976 10 8699·
 1976 11 3082·
 1976 12 7880.
 1977 01  1585.
 1977 02  8105·
 1977 03  8054·
 1977 04  1651·
 1977 05  8458.
 1977 06  90101·
 1977 07  54210.
 1977 08  1186·
 1977 09  3943.
 1977 10  8109.
 1977 11  5857·
 1977 12  262·
 1978 01 5066·
 1978 02 6259·
 1978 03 2472.
 1978 04 5158·
 1978 05 1054·
 1978 06 7751.
 1978 07 9191.
 1978 08 4669.
 1978 09 4051.
 1978 10 5102·
 1978 11 9466.
 1978 12 0100·
 1979 01  8376·
 1979 02  21106.
 1979 03  8763.
 1979 04  5260·
 1979 05  858·
 1979 06  2472·
 1979 07  18172·
 1979 08  6363·
 1979 09  970.
 1979 10  40100.
 1979 11  4582·
 1979 12  2277·
 1980 01 689·
 1980 02 2085.
 1980 03 4849.
 1980 04 4165.
 1980 05 4349·
 1980 06 39101·
 1980 07 35251.
 1980 08 6072.
 1980 09 8963.
 1980 10 97115·
 1980 11 3895·
 1980 12 3972.
 1981 01  3763·
 1981 02  2089·
 1981 03  1281.
 1981 04  6871·
 1981 05  889.
 1981 06  58111·
 1981 07  40164.
 1981 08  6075.
 1981 09  4464·
 1981 10  8794.
 1981 11  2882·
 1981 12  5172.
 1982 01 1690.
 1982 02 7103·
 1982 03 886·
 1982 04 668·
 1982 05 1882.
 1982 06 43111.
 1982 07 36236.
 1982 08 1191·
 1982 09 6988.
 1982 10 4689·
 1982 11 9475·
 1982 12 8080·
 1983 01  1289.
 1983 02  9199·
 1983 03  8970·
 1983 04  5176.
 1983 05  1757.
 1983 06  7896.
 1983 07  53224·
 1983 08  86103·
 1983 09  7880.
 1983 10  34114·
 1983 11  4281.
 1983 12  7472.
 1984 01 1489.
 1984 02 776.
 1984 03 3762.
 1984 04 2759.
 1984 05 7054.
 1984 06 7575.
 1984 07 46197·
 1984 08 8477·
 1984 09 1470·
 1984 10 36113.
 1984 11 9967·
 1984 12 774.
 1985 01  4165.
 1985 02  1773·
 1985 03  5444.
 1985 04  8382.
 1985 05  7082.
 1985 06  6885.
 1985 07  93174·
 1985 08  2781.
 1985 09  4546.
 1985 10  64100·
 1985 11  2153·
 1985 12  7561.
 1986 01 3574·
 1986 02 576·
 1986 03 7181·
 1986 04 9160.
 1986 05 3363·
 1986 06 1890.
 1986 07 98154.
 1986 08 6359.
 1986 09 6163·
 1986 10 5276.
 1986 11 8659.
 1986 12 355·
 1987 01  6143·
 1987 02  8385.
 1987 03  4083.
 1987 04  5057·
 1987 05  258.
 1987 06  1168.
 1987 07  92142·
 1987 08  6668·
 1987 09  7943·
 1987 10  6195·
 1987 11  9967·
 1987 12  3981.
 1988 01 1158.
 1988 02 8552·
 1988 03 4339.
 1988 04 8252·
 1988 05 4258.
 1988 06 5759.
 1988 07 29139.
 1988 08 3346·
 1988 09 4240·
 1988 10 7880·
 1988 11 9055.
 1988 12 5540.
 1989 01  365.
 1989 02  7387.
 1989 03  8227.
 1989 04  3532.
 1989 05  4736·
 1989 06  9268.
 1989 07  87131.
 1989 08  8880·
 1989 09  1552·
 1989 10  1268.
 1989 11  1275.
 1989 12  4948.
 1990 01 7985.
 1990 02 3160·
 1990 03 8859·
 1990 04 8350.
 1990 05 3152.
 1990 06 7749.
 1990 07 72126.
 1990 08 7843.
 1990 09 9236.
 1990 10 98104.
 1990 11 4543·
 1990 12 4570.
 1991 01  464.
 1991 02  71103.
 1991 03  1463.
 1991 04  2446.
 1991 05  3867·
 1991 06  9690.
 1991 07  11152·
 1991 08  7656.
 1991 09  8863·
 1991 10  9878.
 1991 11  9379·
 1991 12  9158.
 1992 01 7268.
 1992 02 2891·
 1992 03 4065·
 1992 04 8037.
 1992 05 3563·
 1992 06 6177.
 1992 07 61147·
 1992 08 8263.
 1992 09 4552·
 1992 10 9779·
 1992 11 8560·
 1992 12 5961·
 1993 01  9873·
 1993 02  6376·
 1993 03  7157·
 1993 04  059.
 1993 05  1266·
 1993 06  786·
 1993 07  99135·
 1993 08  1786·
 1993 09  3146·
 1993 10  6107·
 1993 11  7655.
 1993 12  4870·
 1994 01 2438·
 1994 02 6062.
 1994 03 3542.
 1994 04 5635.
 1994 05 8774·
 1994 06 9477.
 1994 07 3073.
 1994 08 2982.
 1994 09 3717.
 1994 10 6062.
 1994 11 4555.
 1994 12 8079·
 1995 01  1853·
 1995 02  3156.
 1995 03  8647.
 1995 04  4718.
 1995 05  178.
 1995 06  967.
 1995 07  85124·
 1995 08  9371.
 1995 09  7945.
 1995 10  1965·
 1995 11  9766.
 1995 12  563·
 1996 01 7143·
 1996 02 1189.
 1996 03 537·
 1996 04 9644·
 1996 05 2260.
 1996 06 6280.
 1996 07 15103·
 1996 08 551·
 1996 09 021·
 1996 10 7087.
 1996 11 6070.
 1996 12 9463.
 1997 01  034·
 1997 02  6166·
 1997 03  9551·
 1997 04  5137.
 1997 05  4139·
 1997 06  8783·
 1997 07  2115.
 1997 08  8988·
 1997 09  6617.
 1997 10  2252·
 1997 11  8941.
 1997 12  4646·
 1998 01 4620.
 1998 02 67104.
 1998 03 8660.
 1998 04 8534·
 1998 05 7440.
 1998 06 4669·
 1998 07 50109.
 1998 08 9344·
 1998 09 7031.
 1998 10 1272·
 1998 11 63104·
 1998 12 8430.
 1999 01  7737·
 1999 02  3858·
 1999 03  3138·
 1999 04  9545.
 1999 05  6562·
 1999 06  2549·
 1999 07  87130.
 1999 08  9040·
 1999 09  2834.
 1999 10  9972·
 1999 11  8764.
 1999 12  5671.
 2000 01 8433·
 2000 02 1076.
 2000 03 1141.
 2000 04 631.
 2000 05 7937·
 2000 06 3465.
 2000 07 6898·
 2000 08 7862·
 2000 09 8119·
 2000 10 7039.
 2000 11 8929·
 2000 12 3565·
 2001 01  8444·
 2001 02  4466·
 2001 03  3051·
 2001 04  6541·
 2001 05  823.
 2001 06  849·
 2001 07  7398·
 2001 08  8058·
 2001 09  9755.
 2001 10  3562.
 2001 11  2438.


 2001 12  1949·
 2002 01 1925·
 2002 02 2669.
 2002 03 1636.
 2002 04 4453.
 2002 05 7036·
 2002 06 782.
 2002 07 5127·
 2002 08 4460·
 2002 09 6739.
 2002 10 2934·
 2002 11 7240.
 2002 12 3145·
 2003 01  5613·
 2003 02  6668.

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. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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