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 Series Title: Number Unemployed for 7-10 weeks 16-19 yrs. Female: NSA (Thousands)
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 1976 06 43107·
 1976 07 21140.
 1976 08 86212.
 1976 09 971·
 1976 10 86107·
 1976 11 15142·
 1976 12 9595·
 1977 01  56107·
 1977 02  8109.
 1977 03  20104.
 1977 04  1872·
 1977 05  1493·
 1977 06  6087.
 1977 07  17150.
 1977 08  67203.
 1977 09  2887.
 1977 10  1691·
 1977 11  14109·
 1977 12  8061·
 1978 01 6675·
 1978 02 7783·
 1978 03 4293·
 1978 04 2077·
 1978 05 2385.
 1978 06 68115·
 1978 07 58147.
 1978 08 75208·
 1978 09 1772.
 1978 10 41105.
 1978 11 42117·
 1978 12 5885·
 1979 01  9382.
 1979 02  69119·
 1979 03  284·
 1979 04  761·
 1979 05  2179.
 1979 06  5495·
 1979 07  70139·
 1979 08  85177·
 1979 09  9384.
 1979 10  2199·
 1979 11  2108.
 1979 12  7987.
 1980 01 3093·
 1980 02 20109.
 1980 03 80127.
 1980 04 263·
 1980 05 7578·
 1980 06 2886·
 1980 07 10170·
 1980 08 93204.
 1980 09 9895·
 1980 10 43128·
 1980 11 24122.
 1980 12 1490·
 1981 01  9276·
 1981 02  92111·
 1981 03  78101·
 1981 04  5382·
 1981 05  78114·
 1981 06  2487.
 1981 07  55161.
 1981 08  23164.
 1981 09  9899·
 1981 10  16117.
 1981 11  61111·
 1981 12  6295.
 1982 01 22109·
 1982 02 68146·
 1982 03 2896·
 1982 04 3380.
 1982 05 4599.
 1982 06 5108·
 1982 07 11193·
 1982 08 24228.
 1982 09 85118.
 1982 10 77142·
 1982 11 94151·
 1982 12 4786·
 1983 01  87102·
 1983 02  6099.
 1983 03  82110·
 1983 04  4097.
 1983 05  19100.
 1983 06  54122.
 1983 07  7238.
 1983 08  67234.
 1983 09  7681·
 1983 10  85111·
 1983 11  26126.
 1983 12  1572.
 1984 01 7751·
 1984 02 374·
 1984 03 21102·
 1984 04 9775·
 1984 05 6797·
 1984 06 8474·
 1984 07 97151.
 1984 08 51151.
 1984 09 1378.
 1984 10 2784.
 1984 11 8780.
 1984 12 4081.
 1985 01  1188.
 1985 02  5965·
 1985 03  4887·
 1985 04  5164·
 1985 05  8065·
 1985 06  2965.
 1985 07  60140.
 1985 08  99143·
 1985 09  6380.
 1985 10  1392.
 1985 11  3184.
 1985 12  2065·
 1986 01 3079.
 1986 02 12103.
 1986 03 9399·
 1986 04 7796.
 1986 05 7568·
 1986 06 5080·
 1986 07 195.
 1986 08 5994·
 1986 09 1762.
 1986 10 79116.
 1986 11 38102·
 1986 12 7878.
 1987 01  074·
 1987 02  73105.
 1987 03  1089·
 1987 04  7287.
 1987 05  9441·
 1987 06  3377·
 1987 07  49116·
 1987 08  4107·
 1987 09  9253·
 1987 10  8461·
 1987 11  1165.
 1987 12  6247.
 1988 01 1444.
 1988 02 7755.
 1988 03 7867.
 1988 04 5958.
 1988 05 380·
 1988 06 8752.
 1988 07 57125·
 1988 08 33123.
 1988 09 3055.
 1988 10 1554·
 1988 11 8048.
 1988 12 4669·
 1989 01  8859.
 1989 02  8531.
 1989 03  347.
 1989 04  8752·
 1989 05  9564.
 1989 06  4936.
 1989 07  768·
 1989 08  6889.
 1989 09  9835·
 1989 10  8242·
 1989 11  9955.
 1989 12  2756.
 1990 01 6453.
 1990 02 8378.
 1990 03 1278.
 1990 04 2756·
 1990 05 8755·
 1990 06 8057·
 1990 07 178.
 1990 08 5796·
 1990 09 8753.
 1990 10 2057·
 1990 11 4862·
 1990 12 2877.
 1991 01  885.
 1991 02  8281·
 1991 03  6196·
 1991 04  7980·
 1991 05  2074·
 1991 06  6472·
 1991 07  69112.
 1991 08  73128·
 1991 09  1566·
 1991 10  9191·
 1991 11  3190.
 1991 12  9893·
 1992 01 1460·
 1992 02 1692·
 1992 03 2893·
 1992 04 6574·
 1992 05 6073.
 1992 06 1273·
 1992 07 66150·
 1992 08 15141.
 1992 09 2389.
 1992 10 80102·
 1992 11 7787.
 1992 12 873.
 1993 01  9763·
 1993 02  46102·
 1993 03  1873·
 1993 04  3447.
 1993 05  091·
 1993 06  6050·
 1993 07  7088.
 1993 08  5119.
 1993 09  7835.
 1993 10  9774·
 1993 11  4179.
 1993 12  5962·
 1994 01 9951·
 1994 02 5894·
 1994 03 6174·
 1994 04 58109.
 1994 05 5763·
 1994 06 6891·
 1994 07 87145.
 1994 08 92122.
 1994 09 7167·
 1994 10 7887.
 1994 11 196.
 1994 12 7169.
 1995 01  8763.
 1995 02  6290.
 1995 03  1085·
 1995 04  3665·
 1995 05  7278·
 1995 06  2296·
 1995 07  45215.
 1995 08  48137·
 1995 09  2191·
 1995 10  83104.
 1995 11  6297·
 1995 12  9591.
 1996 01 53108·
 1996 02 9589·
 1996 03 44106·
 1996 04 90120.
 1996 05 1277.
 1996 06 3367.
 1996 07 98133.
 1996 08 71139·
 1996 09 6758·
 1996 10 9889.
 1996 11 5495.
 1996 12 281·
 1997 01  1380·
 1997 02  16130·
 1997 03  6984.
 1997 04  6967.
 1997 05  6983.
 1997 06  3688·
 1997 07  26161·
 1997 08  86113.
 1997 09  7889.
 1997 10  3494.
 1997 11  30107.
 1997 12  9061·
 1998 01 1069·
 1998 02 1067·
 1998 03 1468.
 1998 04 4568.
 1998 05 5958.
 1998 06 9195·
 1998 07 33125.
 1998 08 3994.
 1998 09 44101.
 1998 10 2573.
 1998 11 7083·
 1998 12 8377.
 1999 01  1082·
 1999 02  9088·
 1999 03  3298·
 1999 04  1777.
 1999 05  2581·
 1999 06  8477.
 1999 07  4979.
 1999 08  3127.
 1999 09  8488.
 1999 10  3491.
 1999 11  7980·
 1999 12  2947.
 2000 01 563.
 2000 02 8987·
 2000 03 395·
 2000 04 857·
 2000 05 3365.
 2000 06 2667.
 2000 07 28104·
 2000 08 78112·
 2000 09 3855.
 2000 10 4482.
 2000 11 8578.
 2000 12 156.
 2001 01  1258.
 2001 02  6955.
 2001 03  3173·
 2001 04  6678.
 2001 05  7683·
 2001 06  5257.
 2001 07  48110·
 2001 08  85105.
 2001 09  7366.
 2001 10  67109.
 2001 11  4385.


 2001 12  9662·
 2002 01 7289·
 2002 02 1694·
 2002 03 4696·
 2002 04 6374·
 2002 05 6973·
 2002 06 23101.
 2002 07 15151·
 2002 08 73128.
 2002 09 8186·
 2002 10 3896·
 2002 11 32100.
 2002 12 3985·
 2003 01  5374·
 2003 02  3978·

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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