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 Series Title: Number Unemployed for 7-10 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 42107.
 1976 07 95140.
 1976 08 7212.
 1976 09 6371.
 1976 10 70107.
 1976 11 39142·
 1976 12 8295.
 1977 01  41107·
 1977 02  39109.
 1977 03  57104·
 1977 04  3372.
 1977 05  9493.
 1977 06  087·
 1977 07  30150.
 1977 08  73203.
 1977 09  6487.
 1977 10  2991.
 1977 11  64109·
 1977 12  4061.
 1978 01 2175.
 1978 02 2483.
 1978 03 9293·
 1978 04 9677·
 1978 05 5985·
 1978 06 13115·
 1978 07 70147.
 1978 08 29208·
 1978 09 9772·
 1978 10 45105.
 1978 11 80117.
 1978 12 5385·
 1979 01  8082·
 1979 02  95119·
 1979 03  2884·
 1979 04  561·
 1979 05  7679.
 1979 06  6595·
 1979 07  46139.
 1979 08  49177·
 1979 09  8084·
 1979 10  7999·
 1979 11  91108·
 1979 12  7187.
 1980 01 1193·
 1980 02 88109·
 1980 03 44127·
 1980 04 8563·
 1980 05 1278·
 1980 06 6786·
 1980 07 11170.
 1980 08 30204.
 1980 09 5495.
 1980 10 17128·
 1980 11 25122·
 1980 12 6690·
 1981 01  3076·
 1981 02  63111·
 1981 03  43101.
 1981 04  8482·
 1981 05  59114.
 1981 06  5587·
 1981 07  45161·
 1981 08  95164.
 1981 09  8699.
 1981 10  69117·
 1981 11  39111.
 1981 12  3795·
 1982 01 79109.
 1982 02 5146.
 1982 03 5596·
 1982 04 7480.
 1982 05 3399.
 1982 06 89108.
 1982 07 52193.
 1982 08 92228·
 1982 09 68118.
 1982 10 71142·
 1982 11 9151.
 1982 12 686·
 1983 01  26102.
 1983 02  2699·
 1983 03  35110·
 1983 04  5397.
 1983 05  77100·
 1983 06  55122·
 1983 07  60238·
 1983 08  95234.
 1983 09  1681·
 1983 10  83111.
 1983 11  42126.
 1983 12  2272.
 1984 01 6151·
 1984 02 6174·
 1984 03 62102.
 1984 04 4575·
 1984 05 5697·
 1984 06 6374·
 1984 07 26151·
 1984 08 2151.
 1984 09 7278.
 1984 10 9184·
 1984 11 6680·
 1984 12 5781.
 1985 01  188·
 1985 02  7065.
 1985 03  3987.
 1985 04  9764.
 1985 05  6465.
 1985 06  4965·
 1985 07  27140.
 1985 08  35143.
 1985 09  380.
 1985 10  692·
 1985 11  3684·
 1985 12  965·
 1986 01 8979·
 1986 02 39103·
 1986 03 9799.
 1986 04 8396.
 1986 05 1668.
 1986 06 7480.
 1986 07 6895.
 1986 08 4394·
 1986 09 262.
 1986 10 62116·
 1986 11 30102·
 1986 12 278.
 1987 01  9174·
 1987 02  78105·
 1987 03  9089.
 1987 04  087·
 1987 05  5441·
 1987 06  2377·
 1987 07  79116.
 1987 08  98107·
 1987 09  8353.
 1987 10  2161.
 1987 11  5465.
 1987 12  8447·
 1988 01 9944.
 1988 02 2455.
 1988 03 9767.
 1988 04 7258.
 1988 05 4580.
 1988 06 652.
 1988 07 14125.
 1988 08 99123.
 1988 09 9155·
 1988 10 6854.
 1988 11 3648.
 1988 12 2869·
 1989 01  3059·
 1989 02  3631·
 1989 03  2247.
 1989 04  4752·
 1989 05  8264·
 1989 06  6036.
 1989 07  5168·
 1989 08  6989·
 1989 09  9135.
 1989 10  1442·
 1989 11  3155.
 1989 12  3156.
 1990 01 2553·
 1990 02 078·
 1990 03 9478.
 1990 04 9756·
 1990 05 8055.
 1990 06 4457·
 1990 07 9678·
 1990 08 5596.
 1990 09 7453.
 1990 10 9457.
 1990 11 1862.
 1990 12 1777.
 1991 01  5285·
 1991 02  2781.
 1991 03  6896.
 1991 04  2280·
 1991 05  8274.
 1991 06  4472.
 1991 07  77112.
 1991 08  31128·
 1991 09  5966·
 1991 10  6991·
 1991 11  290.
 1991 12  3493·
 1992 01 260.
 1992 02 5292.
 1992 03 2493·
 1992 04 4374.
 1992 05 5473·
 1992 06 7173.
 1992 07 50150.
 1992 08 96141·
 1992 09 8689·
 1992 10 24102·
 1992 11 1187.
 1992 12 5573.
 1993 01  9163·
 1993 02  36102.
 1993 03  6573.
 1993 04  947.
 1993 05  8991.
 1993 06  6050·
 1993 07  9288·
 1993 08  71119·
 1993 09  2335.
 1993 10  6974·
 1993 11  079·
 1993 12  7862·
 1994 01 6351.
 1994 02 6594·
 1994 03 2074·
 1994 04 93109.
 1994 05 263·
 1994 06 7291·
 1994 07 9145·
 1994 08 5122.
 1994 09 6167·
 1994 10 4187·
 1994 11 4896·
 1994 12 2669.
 1995 01  8363.
 1995 02  4890·
 1995 03  4585.
 1995 04  9365.
 1995 05  3778·
 1995 06  9296.
 1995 07  30215·
 1995 08  71137.
 1995 09  1791.
 1995 10  0104.
 1995 11  6097·
 1995 12  4691·
 1996 01 43108·
 1996 02 2189·
 1996 03 18106.
 1996 04 32120·
 1996 05 5877·
 1996 06 3267·
 1996 07 9133.
 1996 08 67139·
 1996 09 3358·
 1996 10 3189·
 1996 11 6595·
 1996 12 1381.
 1997 01  6080.
 1997 02  46130.
 1997 03  4384·
 1997 04  5967·
 1997 05  6083·
 1997 06  2688.
 1997 07  25161.
 1997 08  16113·
 1997 09  7589·
 1997 10  4694.
 1997 11  17107.
 1997 12  2461·
 1998 01 7669.
 1998 02 767·
 1998 03 5168.
 1998 04 4568.
 1998 05 5758.
 1998 06 3495.
 1998 07 83125.
 1998 08 6794.
 1998 09 36101·
 1998 10 7973·
 1998 11 9583.
 1998 12 277·
 1999 01  5882·
 1999 02  1588·
 1999 03  9498·
 1999 04  9077.
 1999 05  9281.
 1999 06  4477.
 1999 07  1279·
 1999 08  91127.
 1999 09  3288.
 1999 10  9191.
 1999 11  480.
 1999 12  9647·
 2000 01 9863·
 2000 02 687.
 2000 03 5395·
 2000 04 1557.
 2000 05 3265.
 2000 06 6467·
 2000 07 66104.
 2000 08 88112·
 2000 09 655.
 2000 10 6782.
 2000 11 7378·
 2000 12 7756.
 2001 01  1158.
 2001 02  3955.
 2001 03  3273.
 2001 04  7078.
 2001 05  6983·
 2001 06  3257.
 2001 07  25110·
 2001 08  80105·
 2001 09  2366.
 2001 10  19109.
 2001 11  5785.


 2001 12  4562.
 2002 01 4189.
 2002 02 294.
 2002 03 6096.
 2002 04 2874.
 2002 05 1973.
 2002 06 6101·
 2002 07 92151·
 2002 08 16128.
 2002 09 7586·
 2002 10 8196.
 2002 11 34100·
 2002 12 2285.
 2003 01  5474·
 2003 02  478·

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 7-10 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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