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 Series Title: Number Unemployed for 11-14 yrs. weeks 16-19 yrs. Male: 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 1156·
 1976 07 9352.
 1976 08 88120.
 1976 09 6199·
 1976 10 369.
 1976 11 389.
 1976 12 5599.
 1977 01  8454.
 1977 02  9272·
 1977 03  4284·
 1977 04  5468.
 1977 05  3632·
 1977 06  2952.
 1977 07  9339·
 1977 08  99102·
 1977 09  6295.
 1977 10  9058.
 1977 11  6175·
 1977 12  2684.
 1978 01 3163.
 1978 02 7460.
 1978 03 8099·
 1978 04 9983.
 1978 05 3731·
 1978 06 843.
 1978 07 444·
 1978 08 561·
 1978 09 160.
 1978 10 4133·
 1978 11 1752·
 1978 12 5998·
 1979 01  6490·
 1979 02  4970·
 1979 03  2491·
 1979 04  9762.
 1979 05  9849·
 1979 06  3235·
 1979 07  5737·
 1979 08  8284·
 1979 09  9549·
 1979 10  1619.
 1979 11  7351·
 1979 12  258.
 1980 01 7564.
 1980 02 5274·
 1980 03 54101·
 1980 04 7157·
 1980 05 8351·
 1980 06 1357.
 1980 07 653·
 1980 08 26111·
 1980 09 8782.
 1980 10 260.
 1980 11 6081.
 1980 12 3080.
 1981 01  8185.
 1981 02  4393.
 1981 03  7485.
 1981 04  7056.
 1981 05  8555·
 1981 06  8661.
 1981 07  2971.
 1981 08  61101·
 1981 09  43135.
 1981 10  864.
 1981 11  3296.
 1981 12  38116.
 1982 01 2382·
 1982 02 8104.
 1982 03 14118.
 1982 04 6786.
 1982 05 2160·
 1982 06 1285.
 1982 07 3252·
 1982 08 34143.
 1982 09 55148·
 1982 10 7091·
 1982 11 68115·
 1982 12 52146.
 1983 01  69108·
 1983 02  5890·
 1983 03  2797·
 1983 04  5976·
 1983 05  3248·
 1983 06  7576.
 1983 07  4341·
 1983 08  19142.
 1983 09  39109.
 1983 10  4879.
 1983 11  7194.
 1983 12  1893·
 1984 01 970.
 1984 02 2768.
 1984 03 9482·
 1984 04 7063.
 1984 05 8666·
 1984 06 8752.
 1984 07 1760.
 1984 08 13102.
 1984 09 3990·
 1984 10 2949.
 1984 11 7364·
 1984 12 1082·
 1985 01  6179.
 1985 02  7864·
 1985 03  1761·
 1985 04  4859.
 1985 05  7460.
 1985 06  8453·
 1985 07  3334.
 1985 08  4180·
 1985 09  1972·
 1985 10  2257.
 1985 11  2678·
 1985 12  2662.
 1986 01 6757.
 1986 02 9480.
 1986 03 2854·
 1986 04 6676.
 1986 05 1248.
 1986 06 2525·
 1986 07 9542.
 1986 08 49100·
 1986 09 7392.
 1986 10 6438.
 1986 11 1074·
 1986 12 8978·
 1987 01  9356·
 1987 02  8875·
 1987 03  7963.
 1987 04  2245·
 1987 05  4339.
 1987 06  9630.
 1987 07  3324·
 1987 08  1273.
 1987 09  1656·
 1987 10  1425·
 1987 11  3051.
 1987 12  4649·
 1988 01 3257.
 1988 02 9328.
 1988 03 5061·
 1988 04 3820.
 1988 05 3417.
 1988 06 834·
 1988 07 134.
 1988 08 2666·
 1988 09 9262·
 1988 10 5925·
 1988 11 1459.
 1988 12 7249·
 1989 01  9922·
 1989 02  7249·
 1989 03  4645.
 1989 04  6424.
 1989 05  7641·
 1989 06  9625·
 1989 07  7922.
 1989 08  1537.
 1989 09  6546.
 1989 10  924.
 1989 11  1857·
 1989 12  6349·
 1990 01 3749.
 1990 02 955.
 1990 03 9647·
 1990 04 7136.
 1990 05 8637.
 1990 06 2224·
 1990 07 6924·
 1990 08 2776·
 1990 09 3051·
 1990 10 9949.
 1990 11 2054·
 1990 12 4440.
 1991 01  1346·
 1991 02  1449.
 1991 03  5472.
 1991 04  5954·
 1991 05  556.
 1991 06  7038.
 1991 07  343·
 1991 08  3563·
 1991 09  173.
 1991 10  9054.
 1991 11  2475.
 1991 12  6199·
 1992 01 1862·
 1992 02 2569.
 1992 03 9974·
 1992 04 4974·
 1992 05 252.
 1992 06 5039.
 1992 07 3459.
 1992 08 3881.
 1992 09 2191·
 1992 10 6754·
 1992 11 6066·
 1992 12 8965·
 1993 01  6957.
 1993 02  064.
 1993 03  3692·
 1993 04  9171.
 1993 05  6734.
 1993 06  034.
 1993 07  4148·
 1993 08  57109·
 1993 09  5747·
 1993 10  4126.
 1993 11  8358·
 1993 12  2544·
 1994 01 957·
 1994 02 2684·
 1994 03 9365·
 1994 04 5774·
 1994 05 1741.
 1994 06 7861·
 1994 07 2951·
 1994 08 42113.
 1994 09 091·
 1994 10 4852·
 1994 11 7153.
 1994 12 9286.
 1995 01  372.
 1995 02  1363·
 1995 03  2776.
 1995 04  4556·
 1995 05  9456·
 1995 06  7161.
 1995 07  2780.
 1995 08  65103.
 1995 09  6876·
 1995 10  4962.
 1995 11  2948.
 1995 12  3982.
 1996 01 4356·
 1996 02 9651.
 1996 03 1483·
 1996 04 79103·
 1996 05 6570·
 1996 06 8951·
 1996 07 8997.
 1996 08 2493.
 1996 09 173.
 1996 10 2868.
 1996 11 8657.
 1996 12 3768·
 1997 01  4763·
 1997 02  3782.
 1997 03  6186.
 1997 04  682.
 1997 05  2135·
 1997 06  6849.
 1997 07  9556.
 1997 08  4389·
 1997 09  6888·
 1997 10  9678·
 1997 11  9677.
 1997 12  8644.
 1998 01 5655.
 1998 02 2159·
 1998 03 9567·
 1998 04 9962·
 1998 05 8063.
 1998 06 6850·
 1998 07 4937.
 1998 08 6980·
 1998 09 5963·
 1998 10 8946.
 1998 11 3971·
 1998 12 962.
 1999 01  3773·
 1999 02  5846.
 1999 03  7378·
 1999 04  5734.
 1999 05  8441·
 1999 06  7553.
 1999 07  8032·
 1999 08  7651.
 1999 09  9266.
 1999 10  6723·
 1999 11  1971.
 1999 12  5351·
 2000 01 8263.
 2000 02 8365·
 2000 03 7145.
 2000 04 245.
 2000 05 9840.
 2000 06 040·
 2000 07 4356.
 2000 08 6161.
 2000 09 855·
 2000 10 1632.
 2000 11 6645.
 2000 12 9251·
 2001 01  846.
 2001 02  5862.
 2001 03  9672·
 2001 04  8347.
 2001 05  1525.
 2001 06  7749.
 2001 07  1643.
 2001 08  4758.
 2001 09  7467.
 2001 10  4753·
 2001 11  3363.


 2001 12  2382·
 2002 01 5574.
 2002 02 6863.
 2002 03 7762·
 2002 04 7264.
 2002 05 5273.
 2002 06 6854·
 2002 07 543·
 2002 08 8372.
 2002 09 8278·
 2002 10 9463.
 2002 11 053·
 2002 12 6957·
 2003 01  9273.
 2003 02  2457·

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 11-14 yrs. 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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