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 Series Title: Number Unemployed for 11-14 yrs. weeks 16-19 yrs. Male: NSA (Thousands)
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 1976 06 8056·
 1976 07 1752.
 1976 08 48120.
 1976 09 699·
 1976 10 5169·
 1976 11 4289.
 1976 12 4199·
 1977 01  4054.
 1977 02  1372·
 1977 03  9084·
 1977 04  6068.
 1977 05  9832.
 1977 06  1752·
 1977 07  4339·
 1977 08  18102·
 1977 09  2495.
 1977 10  3858.
 1977 11  875.
 1977 12  5284·
 1978 01 8663.
 1978 02 7760·
 1978 03 1799·
 1978 04 2683.
 1978 05 8031·
 1978 06 5843.
 1978 07 2544·
 1978 08 2861·
 1978 09 2460.
 1978 10 3333.
 1978 11 1652.
 1978 12 7098.
 1979 01  6290.
 1979 02  7770·
 1979 03  9491·
 1979 04  9062.
 1979 05  6449·
 1979 06  8935.
 1979 07  9237·
 1979 08  5184.
 1979 09  2349.
 1979 10  9619.
 1979 11  6851·
 1979 12  4258·
 1980 01 5964·
 1980 02 4874·
 1980 03 1101.
 1980 04 7457.
 1980 05 1651.
 1980 06 2057·
 1980 07 9953·
 1980 08 86111·
 1980 09 6382.
 1980 10 1360.
 1980 11 9481·
 1980 12 4180.
 1981 01  9585·
 1981 02  5293.
 1981 03  4185.
 1981 04  2656.
 1981 05  2955.
 1981 06  8761·
 1981 07  2471·
 1981 08  55101·
 1981 09  12135.
 1981 10  9464·
 1981 11  4896·
 1981 12  65116.
 1982 01 1082·
 1982 02 73104.
 1982 03 45118.
 1982 04 2086·
 1982 05 2060·
 1982 06 5085·
 1982 07 7252.
 1982 08 6143.
 1982 09 60148·
 1982 10 7591·
 1982 11 10115.
 1982 12 38146·
 1983 01  73108·
 1983 02  2390.
 1983 03  6797·
 1983 04  5376·
 1983 05  3048·
 1983 06  9576.
 1983 07  7241.
 1983 08  13142.
 1983 09  24109·
 1983 10  1679.
 1983 11  8594·
 1983 12  893.
 1984 01 7570.
 1984 02 3768·
 1984 03 8582·
 1984 04 4863·
 1984 05 2666·
 1984 06 3252·
 1984 07 7960·
 1984 08 74102.
 1984 09 4790·
 1984 10 349·
 1984 11 064.
 1984 12 4782.
 1985 01  3279.
 1985 02  7564.
 1985 03  461.
 1985 04  5559.
 1985 05  9960·
 1985 06  9853.
 1985 07  7234.
 1985 08  1180.
 1985 09  9572·
 1985 10  4757.
 1985 11  1178·
 1985 12  5362.
 1986 01 8657.
 1986 02 2380·
 1986 03 5354·
 1986 04 4476.
 1986 05 6848.
 1986 06 5125.
 1986 07 5542·
 1986 08 72100·
 1986 09 5992.
 1986 10 8238.
 1986 11 9774·
 1986 12 5078.
 1987 01  456.
 1987 02  9175.
 1987 03  8763·
 1987 04  1645·
 1987 05  7239·
 1987 06  7930·
 1987 07  5724.
 1987 08  3273·
 1987 09  5856.
 1987 10  7025.
 1987 11  6251·
 1987 12  8649·
 1988 01 7957·
 1988 02 1628.
 1988 03 8561·
 1988 04 9220·
 1988 05 8017·
 1988 06 9134·
 1988 07 3334·
 1988 08 8666.
 1988 09 3162.
 1988 10 9625·
 1988 11 3659.
 1988 12 3349·
 1989 01  2622.
 1989 02  5749.
 1989 03  5245·
 1989 04  2024·
 1989 05  8341·
 1989 06  2325.
 1989 07  6222·
 1989 08  6037·
 1989 09  4746.
 1989 10  7124·
 1989 11  7257·
 1989 12  9149.
 1990 01 8849.
 1990 02 055.
 1990 03 1547·
 1990 04 7536.
 1990 05 9837·
 1990 06 3624.
 1990 07 4824·
 1990 08 076.
 1990 09 9851.
 1990 10 3049.
 1990 11 5154·
 1990 12 8140·
 1991 01  3146·
 1991 02  5649.
 1991 03  3172·
 1991 04  5354.
 1991 05  6656·
 1991 06  1538.
 1991 07  2143.
 1991 08  8163.
 1991 09  9973.
 1991 10  3354.
 1991 11  7675·
 1991 12  5199.
 1992 01 4762·
 1992 02 6069.
 1992 03 7874·
 1992 04 7874·
 1992 05 5552.
 1992 06 7139.
 1992 07 3459.
 1992 08 9981·
 1992 09 9291.
 1992 10 6754.
 1992 11 7666·
 1992 12 7665·
 1993 01  5357.
 1993 02  7364·
 1993 03  6092·
 1993 04  9871.
 1993 05  5634.
 1993 06  3934·
 1993 07  6848·
 1993 08  78109.
 1993 09  4547·
 1993 10  4126·
 1993 11  758.
 1993 12  5344.
 1994 01 9157.
 1994 02 8084.
 1994 03 765·
 1994 04 8674·
 1994 05 8641·
 1994 06 8061·
 1994 07 2751·
 1994 08 66113·
 1994 09 5091.
 1994 10 9252·
 1994 11 4653.
 1994 12 586.
 1995 01  2772.
 1995 02  9263·
 1995 03  7376.
 1995 04  4056·
 1995 05  8656.
 1995 06  8061·
 1995 07  3980.
 1995 08  36103·
 1995 09  2276·
 1995 10  8062.
 1995 11  048.
 1995 12  7982.
 1996 01 5456·
 1996 02 4551·
 1996 03 3783.
 1996 04 83103·
 1996 05 2570·
 1996 06 4851.
 1996 07 5997.
 1996 08 8693·
 1996 09 473·
 1996 10 9068·
 1996 11 9657.
 1996 12 5068·
 1997 01  8763·
 1997 02  9882·
 1997 03  486·
 1997 04  6382.
 1997 05  9235.
 1997 06  2149.
 1997 07  6756·
 1997 08  3989·
 1997 09  6388·
 1997 10  3478·
 1997 11  8977·
 1997 12  1544.
 1998 01 7055·
 1998 02 3859·
 1998 03 367·
 1998 04 5462.
 1998 05 663·
 1998 06 5850.
 1998 07 6637·
 1998 08 4380·
 1998 09 9163·
 1998 10 4546.
 1998 11 5971.
 1998 12 9762·
 1999 01  6873.
 1999 02  7546.
 1999 03  8878·
 1999 04  5234.
 1999 05  841.
 1999 06  4753.
 1999 07  8632.
 1999 08  7251.
 1999 09  366·
 1999 10  8623.
 1999 11  971·
 1999 12  4451·
 2000 01 7463·
 2000 02 4465·
 2000 03 3945·
 2000 04 8245.
 2000 05 6440.
 2000 06 9640.
 2000 07 8256·
 2000 08 2361·
 2000 09 4355·
 2000 10 4232.
 2000 11 7045·
 2000 12 3051.
 2001 01  446.
 2001 02  762.
 2001 03  5972.
 2001 04  9147.
 2001 05  6725·
 2001 06  4249·
 2001 07  3243.
 2001 08  1958.
 2001 09  7667.
 2001 10  2353·
 2001 11  9563.


 2001 12  5182·
 2002 01 074·
 2002 02 4963.
 2002 03 7962·
 2002 04 5264·
 2002 05 3473·
 2002 06 4654·
 2002 07 4143.
 2002 08 872.
 2002 09 9578.
 2002 10 6463.
 2002 11 6353.
 2002 12 3357·
 2003 01  3073.
 2003 02  7957.

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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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