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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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Go to end of data set
 1976 06 858.
 1976 07 2833·
 1976 08 1084.
 1976 09 2676·
 1976 10 7033.
 1976 11 4165.
 1976 12 3891·
 1977 01  9272.
 1977 02  1140·
 1977 03  6564.
 1977 04  8049·
 1977 05  6944.
 1977 06  8139.
 1977 07  8159.
 1977 08  4866.
 1977 09  195.
 1977 10  5657·
 1977 11  9762·
 1977 12  8047.
 1978 01 5831·
 1978 02 3658·
 1978 03 4454·
 1978 04 3938.
 1978 05 3449.
 1978 06 4658·
 1978 07 7840.
 1978 08 1388.
 1978 09 4776.
 1978 10 3743·
 1978 11 8166.
 1978 12 1571.
 1979 01  4255.
 1979 02  8531·
 1979 03  6065·
 1979 04  8233·
 1979 05  8846·
 1979 06  8849·
 1979 07  4725.
 1979 08  7952.
 1979 09  7962.
 1979 10  7448·
 1979 11  9749.
 1979 12  9152.
 1980 01 3430.
 1980 02 9245·
 1980 03 9461·
 1980 04 3454·
 1980 05 9843.
 1980 06 1834.
 1980 07 4254·
 1980 08 4382·
 1980 09 4087.
 1980 10 5249.
 1980 11 7554·
 1980 12 8351·
 1981 01  5335.
 1981 02  2051.
 1981 03  4957.
 1981 04  4142·
 1981 05  5729.
 1981 06  7138·
 1981 07  4440.
 1981 08  3087.
 1981 09  9688.
 1981 10  8254·
 1981 11  6977.
 1981 12  8756.
 1982 01 3935·
 1982 02 5259·
 1982 03 5476.
 1982 04 7772.
 1982 05 8142.
 1982 06 851.
 1982 07 5759·
 1982 08 86134·
 1982 09 40135.
 1982 10 9963·
 1982 11 5882.
 1982 12 28102·
 1983 01  6055·
 1983 02  149.
 1983 03  6562·
 1983 04  4067.
 1983 05  1147.
 1983 06  1442.
 1983 07  938.
 1983 08  8584·
 1983 09  8790·
 1983 10  6351·
 1983 11  4661·
 1983 12  5259·
 1984 01 749·
 1984 02 056·
 1984 03 6042·
 1984 04 5336.
 1984 05 1533·
 1984 06 034.
 1984 07 5532.
 1984 08 2684.
 1984 09 8066·
 1984 10 6232.
 1984 11 6441·
 1984 12 3331·
 1985 01  9735.
 1985 02  1232.
 1985 03  4342.
 1985 04  6448.
 1985 05  8436·
 1985 06  128.
 1985 07  7428·
 1985 08  3061.
 1985 09  8658·
 1985 10  445.
 1985 11  6442·
 1985 12  7048·
 1986 01 7225·
 1986 02 2129.
 1986 03 4458.
 1986 04 4641.
 1986 05 3637.
 1986 06 7832.
 1986 07 7143·
 1986 08 4686·
 1986 09 9666.
 1986 10 2532·
 1986 11 2750.
 1986 12 8442·
 1987 01  9833.
 1987 02  3828·
 1987 03  1743.
 1987 04  9724.
 1987 05  1123.
 1987 06  1724.
 1987 07  7535.
 1987 08  4843·
 1987 09  2852.
 1987 10  8760·
 1987 11  5649·
 1987 12  2537.
 1988 01 6855·
 1988 02 9933·
 1988 03 4220.
 1988 04 4024·
 1988 05 7714·
 1988 06 2815·
 1988 07 4017·
 1988 08 3350·
 1988 09 2235.
 1988 10 7423·
 1988 11 8131.
 1988 12 6527.
 1989 01  9837.
 1989 02  6326.
 1989 03  2346.
 1989 04  2440.
 1989 05  2534·
 1989 06  4613.
 1989 07  4630·
 1989 08  2443·
 1989 09  4635.
 1989 10  9734·
 1989 11  5740·
 1989 12  237·
 1990 01 3128.
 1990 02 1817.
 1990 03 8831·
 1990 04 2128·
 1990 05 7330.
 1990 06 3324·
 1990 07 9616·
 1990 08 6972·
 1990 09 9259·
 1990 10 9236·
 1990 11 6246.
 1990 12 5925.
 1991 01  3231·
 1991 02  7245.
 1991 03  9349·
 1991 04  2947·
 1991 05  6238·
 1991 06  7336.
 1991 07  2139·
 1991 08  4265·
 1991 09  7657.
 1991 10  1951.
 1991 11  146·
 1991 12  8553·
 1992 01 9327·
 1992 02 6238.
 1992 03 1739.
 1992 04 7238·
 1992 05 5826.
 1992 06 7733.
 1992 07 7435·
 1992 08 4075·
 1992 09 4061.
 1992 10 6442·
 1992 11 458·
 1992 12 5239·
 1993 01  3226·
 1993 02  4939.
 1993 03  6337.
 1993 04  9753.
 1993 05  5521·
 1993 06  8250·
 1993 07  3445.
 1993 08  8651·
 1993 09  5155.
 1993 10  3837·
 1993 11  2333·
 1993 12  5931.
 1994 01 9163·
 1994 02 1755·
 1994 03 6246·
 1994 04 7771·
 1994 05 6834·
 1994 06 4632.
 1994 07 757.
 1994 08 2975·
 1994 09 162.
 1994 10 7566.
 1994 11 4042.
 1994 12 2841.
 1995 01  3540.
 1995 02  7826.
 1995 03  6740.
 1995 04  1163.
 1995 05  3942·
 1995 06  5739.
 1995 07  2166·
 1995 08  4185.
 1995 09  659·
 1995 10  3646·
 1995 11  5785.
 1995 12  751.
 1996 01 5768.
 1996 02 6746.
 1996 03 5838.
 1996 04 2165·
 1996 05 3551·
 1996 06 2437.
 1996 07 3146·
 1996 08 2171·
 1996 09 972.
 1996 10 741.
 1996 11 561·
 1996 12 7055·
 1997 01  7453.
 1997 02  4483.
 1997 03  4058·
 1997 04  5640.
 1997 05  4829.
 1997 06  8230.
 1997 07  1542.
 1997 08  9266.
 1997 09  7683·
 1997 10  9943·
 1997 11  3861.
 1997 12  1546·
 1998 01 2745·
 1998 02 9531·
 1998 03 4034·
 1998 04 8936.
 1998 05 9528·
 1998 06 9447·
 1998 07 7954.
 1998 08 148.
 1998 09 9957·
 1998 10 4736.
 1998 11 3460·
 1998 12 6433.
 1999 01  8354.
 1999 02  3054·
 1999 03  1540·
 1999 04  1736·
 1999 05  1738·
 1999 06  4330.
 1999 07  5125.
 1999 08  2232·
 1999 09  9581.
 1999 10  1239.
 1999 11  9952·
 1999 12  6730·
 2000 01 3528.
 2000 02 8632·
 2000 03 4248.
 2000 04 6432.
 2000 05 8238.
 2000 06 4136.
 2000 07 8537·
 2000 08 5332.
 2000 09 558.
 2000 10 7830.
 2000 11 6146.
 2000 12 9532.
 2001 01  9828·
 2001 02  2214·
 2001 03  2634.
 2001 04  7832·
 2001 05  8035.
 2001 06  2428·
 2001 07  6247.
 2001 08  1629·
 2001 09  9657.
 2001 10  5852.
 2001 11  7656.


 2001 12  4643·
 2002 01 1553.
 2002 02 2535.
 2002 03 9841.
 2002 04 3251.
 2002 05 3043.
 2002 06 5136·
 2002 07 8655·
 2002 08 6056.
 2002 09 6159.
 2002 10 8536.
 2002 11 2175·
 2002 12 4547·
 2003 01  5245.
 2003 02  442·

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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