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 Series Title: Number Unemployed for 11-14 yrs. weeks 16-19 yrs. Female: 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 3058·
 1976 07 4533.
 1976 08 2684·
 1976 09 2576·
 1976 10 1933.
 1976 11 8665.
 1976 12 991·
 1977 01  9772.
 1977 02  4240·
 1977 03  9464·
 1977 04  6149.
 1977 05  3644.
 1977 06  5139·
 1977 07  5159.
 1977 08  9566·
 1977 09  8795.
 1977 10  2157.
 1977 11  6362·
 1977 12  5047·
 1978 01 1831·
 1978 02 5258.
 1978 03 6254·
 1978 04 8938·
 1978 05 2549·
 1978 06 7058·
 1978 07 640.
 1978 08 9988.
 1978 09 2576.
 1978 10 2543·
 1978 11 7466.
 1978 12 9271.
 1979 01  6455.
 1979 02  9231.
 1979 03  7565.
 1979 04  833.
 1979 05  946·
 1979 06  7249.
 1979 07  3925.
 1979 08  952.
 1979 09  5762·
 1979 10  9048.
 1979 11  2449.
 1979 12  8252.
 1980 01 2430·
 1980 02 9745.
 1980 03 1161·
 1980 04 4154.
 1980 05 5743·
 1980 06 6834.
 1980 07 654·
 1980 08 2482·
 1980 09 2387.
 1980 10 349.
 1980 11 4254.
 1980 12 9351.
 1981 01  1735·
 1981 02  2851·
 1981 03  7457.
 1981 04  3742.
 1981 05  5829.
 1981 06  9338.
 1981 07  8540·
 1981 08  6787.
 1981 09  9188·
 1981 10  7454·
 1981 11  8177·
 1981 12  2356·
 1982 01 8435.
 1982 02 7159·
 1982 03 9476·
 1982 04 6772.
 1982 05 3142.
 1982 06 951.
 1982 07 8159·
 1982 08 87134·
 1982 09 52135·
 1982 10 3963.
 1982 11 2382·
 1982 12 96102.
 1983 01  9155.
 1983 02  3549·
 1983 03  2662·
 1983 04  3167·
 1983 05  1747·
 1983 06  042.
 1983 07  2338.
 1983 08  5684.
 1983 09  2490·
 1983 10  5751·
 1983 11  7061.
 1983 12  5859·
 1984 01 3149·
 1984 02 5856.
 1984 03 4842·
 1984 04 5136.
 1984 05 8233.
 1984 06 7734.
 1984 07 6532·
 1984 08 7284·
 1984 09 4766.
 1984 10 1532·
 1984 11 5241·
 1984 12 8431.
 1985 01  2035.
 1985 02  9832·
 1985 03  6542.
 1985 04  7548.
 1985 05  1936·
 1985 06  7628.
 1985 07  8628·
 1985 08  5861.
 1985 09  9058.
 1985 10  2445·
 1985 11  2342·
 1985 12  7148.
 1986 01 025.
 1986 02 4229.
 1986 03 658·
 1986 04 7641·
 1986 05 4537·
 1986 06 5732·
 1986 07 9243·
 1986 08 6386.
 1986 09 4366.
 1986 10 1832.
 1986 11 6350·
 1986 12 4242.
 1987 01  3833.
 1987 02  128·
 1987 03  2543·
 1987 04  5324.
 1987 05  023·
 1987 06  624·
 1987 07  1135.
 1987 08  5943.
 1987 09  2352.
 1987 10  5860·
 1987 11  7649·
 1987 12  4637.
 1988 01 2655·
 1988 02 933·
 1988 03 220.
 1988 04 2924·
 1988 05 5314.
 1988 06 3315·
 1988 07 9717·
 1988 08 4450·
 1988 09 7335·
 1988 10 3123·
 1988 11 9131.
 1988 12 5527·
 1989 01  8037.
 1989 02  2726·
 1989 03  4146.
 1989 04  5040·
 1989 05  9434·
 1989 06  7413.
 1989 07  3030·
 1989 08  4243.
 1989 09  5935.
 1989 10  4534·
 1989 11  6340.
 1989 12  6837·
 1990 01 4328.
 1990 02 4217·
 1990 03 7231·
 1990 04 9228·
 1990 05 4130.
 1990 06 8924·
 1990 07 1416.
 1990 08 172.
 1990 09 7259.
 1990 10 3836·
 1990 11 7046.
 1990 12 825·
 1991 01  8131·
 1991 02  6345·
 1991 03  4849·
 1991 04  5147.
 1991 05  3538·
 1991 06  6436.
 1991 07  7839.
 1991 08  9365·
 1991 09  3057.
 1991 10  6951.
 1991 11  1846·
 1991 12  2153·
 1992 01 8527·
 1992 02 2538.
 1992 03 4839·
 1992 04 5038.
 1992 05 4426.
 1992 06 1033·
 1992 07 7735.
 1992 08 1675.
 1992 09 7561·
 1992 10 2442.
 1992 11 3558·
 1992 12 8339·
 1993 01  7326.
 1993 02  9139·
 1993 03  7837.
 1993 04  3853.
 1993 05  5821·
 1993 06  6250·
 1993 07  9045·
 1993 08  9551.
 1993 09  7355.
 1993 10  1337·
 1993 11  7533·
 1993 12  9031.
 1994 01 8763.
 1994 02 4455·
 1994 03 6746·
 1994 04 8871·
 1994 05 9534.
 1994 06 8032.
 1994 07 2157.
 1994 08 7675.
 1994 09 1562·
 1994 10 7366.
 1994 11 1942.
 1994 12 6641.
 1995 01  9340·
 1995 02  9626.
 1995 03  6840·
 1995 04  9863.
 1995 05  9642.
 1995 06  5139·
 1995 07  066·
 1995 08  3285.
 1995 09  2059·
 1995 10  6346·
 1995 11  7085.
 1995 12  5951.
 1996 01 8368.
 1996 02 8246.
 1996 03 6138·
 1996 04 9065·
 1996 05 2951.
 1996 06 8437.
 1996 07 8046·
 1996 08 6371·
 1996 09 2872.
 1996 10 6941·
 1996 11 5861.
 1996 12 4255·
 1997 01  7453·
 1997 02  6383·
 1997 03  5158·
 1997 04  1340·
 1997 05  8529.
 1997 06  1630·
 1997 07  4242·
 1997 08  9166.
 1997 09  783·
 1997 10  343.
 1997 11  3661·
 1997 12  1246.
 1998 01 745·
 1998 02 2431·
 1998 03 6634.
 1998 04 4036.
 1998 05 8128·
 1998 06 647.
 1998 07 8954·
 1998 08 6348·
 1998 09 4757·
 1998 10 9836.
 1998 11 8560·
 1998 12 9333·
 1999 01  5054.
 1999 02  7654.
 1999 03  6240·
 1999 04  6936.
 1999 05  5938·
 1999 06  4030·
 1999 07  5125.
 1999 08  5332·
 1999 09  6781·
 1999 10  1639.
 1999 11  852·
 1999 12  3430·
 2000 01 9428·
 2000 02 5432.
 2000 03 1648.
 2000 04 2332.
 2000 05 8538.
 2000 06 3036·
 2000 07 8137.
 2000 08 6032·
 2000 09 858.
 2000 10 4330.
 2000 11 3546.
 2000 12 632·
 2001 01  5728·
 2001 02  2014·
 2001 03  3434.
 2001 04  5032·
 2001 05  5135·
 2001 06  1028.
 2001 07  6147·
 2001 08  529.
 2001 09  3657·
 2001 10  8952.
 2001 11  2056.


 2001 12  843·
 2002 01 7953·
 2002 02 5735·
 2002 03 4541·
 2002 04 2351.
 2002 05 7543·
 2002 06 4036.
 2002 07 9255.
 2002 08 3756.
 2002 09 4359.
 2002 10 8936·
 2002 11 4375.
 2002 12 6447·
 2003 01  2845·
 2003 02  7842.

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. Female: 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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