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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 7158.
 1976 07 2033·
 1976 08 8184.
 1976 09 9476.
 1976 10 2333.
 1976 11 3465·
 1976 12 9691·
 1977 01  872·
 1977 02  4840·
 1977 03  5364·
 1977 04  1949.
 1977 05  2744.
 1977 06  9639.
 1977 07  5859·
 1977 08  6166·
 1977 09  9595.
 1977 10  4257.
 1977 11  5662.
 1977 12  6147·
 1978 01 8131.
 1978 02 8758·
 1978 03 7954.
 1978 04 8238.
 1978 05 7949.
 1978 06 5658.
 1978 07 8240·
 1978 08 1288.
 1978 09 976.
 1978 10 043.
 1978 11 4966·
 1978 12 6371.
 1979 01  1455·
 1979 02  9331·
 1979 03  8665.
 1979 04  7433.
 1979 05  6546.
 1979 06  3749·
 1979 07  2325.
 1979 08  852·
 1979 09  5462·
 1979 10  5748.
 1979 11  1949·
 1979 12  5152·
 1980 01 130·
 1980 02 345·
 1980 03 5461·
 1980 04 1854·
 1980 05 5043·
 1980 06 5034·
 1980 07 3554·
 1980 08 4682·
 1980 09 7187·
 1980 10 9949.
 1980 11 9454·
 1980 12 9851.
 1981 01  5735·
 1981 02  7551·
 1981 03  8757.
 1981 04  6142·
 1981 05  2829.
 1981 06  2938·
 1981 07  9640·
 1981 08  5087.
 1981 09  2788.
 1981 10  3754.
 1981 11  2877.
 1981 12  156.
 1982 01 2535·
 1982 02 9759·
 1982 03 1476.
 1982 04 7772.
 1982 05 1442·
 1982 06 3651·
 1982 07 1259·
 1982 08 67134.
 1982 09 15135·
 1982 10 563.
 1982 11 282.
 1982 12 83102·
 1983 01  7155.
 1983 02  7849.
 1983 03  9162·
 1983 04  6467.
 1983 05  5147.
 1983 06  5742.
 1983 07  1138·
 1983 08  7184·
 1983 09  5090·
 1983 10  6551.
 1983 11  1861.
 1983 12  9359·
 1984 01 8649·
 1984 02 5556.
 1984 03 9542·
 1984 04 4436·
 1984 05 533·
 1984 06 034·
 1984 07 4832·
 1984 08 6084·
 1984 09 7466.
 1984 10 332.
 1984 11 841·
 1984 12 531·
 1985 01  8935.
 1985 02  8732.
 1985 03  3242·
 1985 04  6648.
 1985 05  6836·
 1985 06  328.
 1985 07  128·
 1985 08  5761.
 1985 09  5558.
 1985 10  2845.
 1985 11  2442.
 1985 12  1548·
 1986 01 2025.
 1986 02 6029·
 1986 03 3058·
 1986 04 341.
 1986 05 5737.
 1986 06 2632.
 1986 07 7743·
 1986 08 986·
 1986 09 8466.
 1986 10 7632·
 1986 11 4650.
 1986 12 4642.
 1987 01  4733·
 1987 02  8528.
 1987 03  4443·
 1987 04  5224.
 1987 05  1323·
 1987 06  5424.
 1987 07  335·
 1987 08  9043.
 1987 09  7852.
 1987 10  860·
 1987 11  7849·
 1987 12  4837.
 1988 01 6155·
 1988 02 9733.
 1988 03 5320·
 1988 04 3824.
 1988 05 414.
 1988 06 9815·
 1988 07 3317·
 1988 08 9950·
 1988 09 7935·
 1988 10 923.
 1988 11 5131·
 1988 12 9327·
 1989 01  7837·
 1989 02  5726.
 1989 03  6246·
 1989 04  840.
 1989 05  2234·
 1989 06  9313.
 1989 07  4830·
 1989 08  5743.
 1989 09  5335·
 1989 10  9034.
 1989 11  1740·
 1989 12  7837·
 1990 01 4228·
 1990 02 5117·
 1990 03 9931·
 1990 04 3428.
 1990 05 8230.
 1990 06 024·
 1990 07 5216·
 1990 08 1372·
 1990 09 9359.
 1990 10 8736.
 1990 11 5746·
 1990 12 2825.
 1991 01  1831·
 1991 02  8845·
 1991 03  2049.
 1991 04  1647·
 1991 05  2738.
 1991 06  436.
 1991 07  7439.
 1991 08  4165·
 1991 09  1457·
 1991 10  6051.
 1991 11  7446·
 1991 12  9053.
 1992 01 9927.
 1992 02 538·
 1992 03 339·
 1992 04 7638·
 1992 05 2426·
 1992 06 1633.
 1992 07 6735.
 1992 08 3775·
 1992 09 6061.
 1992 10 9442.
 1992 11 9858·
 1992 12 3739·
 1993 01  026.
 1993 02  6239·
 1993 03  5337·
 1993 04  6253.
 1993 05  6421·
 1993 06  7250·
 1993 07  1245·
 1993 08  2651.
 1993 09  9655.
 1993 10  037·
 1993 11  8433·
 1993 12  6731.
 1994 01 6563.
 1994 02 4555·
 1994 03 9946.
 1994 04 4771·
 1994 05 6534.
 1994 06 3232·
 1994 07 1357·
 1994 08 5575.
 1994 09 1562·
 1994 10 1366.
 1994 11 1042·
 1994 12 341·
 1995 01  5940.
 1995 02  6326.
 1995 03  9540.
 1995 04  2963.
 1995 05  6742·
 1995 06  8239·
 1995 07  9966·
 1995 08  9785.
 1995 09  3359·
 1995 10  9546·
 1995 11  8185.
 1995 12  9451.
 1996 01 7568·
 1996 02 5346.
 1996 03 2038·
 1996 04 3265.
 1996 05 3951.
 1996 06 3237·
 1996 07 2446·
 1996 08 5071·
 1996 09 9272·
 1996 10 3141.
 1996 11 2561.
 1996 12 1155·
 1997 01  3053·
 1997 02  7683·
 1997 03  7958·
 1997 04  340·
 1997 05  7129.
 1997 06  1730·
 1997 07  6842·
 1997 08  3866.
 1997 09  5983·
 1997 10  3143.
 1997 11  9961·
 1997 12  5546.
 1998 01 6445·
 1998 02 1631·
 1998 03 234·
 1998 04 1636·
 1998 05 8028·
 1998 06 9947·
 1998 07 3554·
 1998 08 948.
 1998 09 2657·
 1998 10 3036·
 1998 11 8060.
 1998 12 4633.
 1999 01  4554.
 1999 02  8554·
 1999 03  4240.
 1999 04  6736.
 1999 05  938·
 1999 06  6330.
 1999 07  5425·
 1999 08  3432.
 1999 09  981.
 1999 10  9039.
 1999 11  7352·
 1999 12  3530.
 2000 01 6628.
 2000 02 1732.
 2000 03 7948.
 2000 04 8232.
 2000 05 2338·
 2000 06 1936·
 2000 07 8037·
 2000 08 1332.
 2000 09 5058.
 2000 10 9630·
 2000 11 746.
 2000 12 9232.
 2001 01  4128.
 2001 02  7414·
 2001 03  1734.
 2001 04  732·
 2001 05  1635·
 2001 06  328·
 2001 07  9147·
 2001 08  6929·
 2001 09  1757.
 2001 10  5852.
 2001 11  3756·


 2001 12  1843.
 2002 01 1553·
 2002 02 4035·
 2002 03 8541·
 2002 04 1551·
 2002 05 343.
 2002 06 7536·
 2002 07 9355.
 2002 08 4956.
 2002 09 059·
 2002 10 1236.
 2002 11 4175.
 2002 12 3347.
 2003 01  5245·
 2003 02  2842·

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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