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 Series Title: Number Unemployed for 5-6 weeks 16-19 yrs.: 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 38192·
 1976 07 59392.
 1976 08 65188·
 1976 09 2140·
 1976 10 42185.
 1976 11 57156.
 1976 12 22159.
 1977 01  41153.
 1977 02  0187·
 1977 03  42110.
 1977 04  68118·
 1977 05  66108.
 1977 06  62188·
 1977 07  94386.
 1977 08  15169·
 1977 09  2296.
 1977 10  4208.
 1977 11  20103·
 1977 12  1128·
 1978 01 77134·
 1978 02 25137·
 1978 03 52133·
 1978 04 90107.
 1978 05 25122·
 1978 06 52123·
 1978 07 47382.
 1978 08 68145·
 1978 09 87132.
 1978 10 35198·
 1978 11 85121·
 1978 12 49147·
 1979 01  5127·
 1979 02  49160·
 1979 03  75102.
 1979 04  71123·
 1979 05  49119·
 1979 06  95155·
 1979 07  47340.
 1979 08  97116·
 1979 09  13140.
 1979 10  97218.
 1979 11  58140·
 1979 12  14146·
 1980 01 16143.
 1980 02 7175·
 1980 03 90113.
 1980 04 35126·
 1980 05 394.
 1980 06 0202·
 1980 07 50425.
 1980 08 99109.
 1980 09 43127·
 1980 10 76207.
 1980 11 68157.
 1980 12 68109·
 1981 01  29108.
 1981 02  60152.
 1981 03  2143.
 1981 04  30101.
 1981 05  81160·
 1981 06  3191.
 1981 07  33296·
 1981 08  98143.
 1981 09  43118.
 1981 10  81200·
 1981 11  68142.
 1981 12  10128.
 1982 01 85136.
 1982 02 93179·
 1982 03 39136·
 1982 04 29151.
 1982 05 99157.
 1982 06 65190·
 1982 07 2429·
 1982 08 43165·
 1982 09 6134·
 1982 10 48167·
 1982 11 39114·
 1982 12 64127.
 1983 01  49140·
 1983 02  17185.
 1983 03  56144.
 1983 04  30126.
 1983 05  99131·
 1983 06  72189.
 1983 07  86385.
 1983 08  5202·
 1983 09  48148.
 1983 10  38205.
 1983 11  84153·
 1983 12  76140·
 1984 01 16134·
 1984 02 67140.
 1984 03 3399·
 1984 04 56119.
 1984 05 4796·
 1984 06 33164·
 1984 07 38344·
 1984 08 83145·
 1984 09 10121.
 1984 10 37172·
 1984 11 33121.
 1984 12 20130·
 1985 01  0111·
 1985 02  4154·
 1985 03  73112.
 1985 04  55148·
 1985 05  35123·
 1985 06  85161.
 1985 07  40313·
 1985 08  0131.
 1985 09  6087·
 1985 10  54166.
 1985 11  4096·
 1985 12  94107.
 1986 01 44146·
 1986 02 13146·
 1986 03 6110.
 1986 04 0109·
 1986 05 80108.
 1986 06 87153.
 1986 07 93253·
 1986 08 5125·
 1986 09 89131·
 1986 10 26169·
 1986 11 84113·
 1986 12 2293.
 1987 01  1485·
 1987 02  6155.
 1987 03  86136·
 1987 04  8986.
 1987 05  25117.
 1987 06  26132.
 1987 07  29263.
 1987 08  69118·
 1987 09  1574.
 1987 10  13154.
 1987 11  70114.
 1987 12  50108.
 1988 01 394.
 1988 02 17117·
 1988 03 9284.
 1988 04 4598.
 1988 05 35115.
 1988 06 13128·
 1988 07 0225·
 1988 08 9285.
 1988 09 7896·
 1988 10 1127.
 1988 11 2798·
 1988 12 5389·
 1989 01  28117·
 1989 02  7143.
 1989 03  2945.
 1989 04  1769.
 1989 05  280·
 1989 06  81131.
 1989 07  88237·
 1989 08  96148.
 1989 09  4687·
 1989 10  0113.
 1989 11  10109.
 1989 12  2898·
 1990 01 29127·
 1990 02 6299.
 1990 03 26101·
 1990 04 76100·
 1990 05 4498.
 1990 06 9397.
 1990 07 95234.
 1990 08 2980.
 1990 09 1183·
 1990 10 45167.
 1990 11 9776·
 1990 12 98124·
 1991 01  74112.
 1991 02  92153·
 1991 03  38111.
 1991 04  2274·
 1991 05  2105.
 1991 06  34138.
 1991 07  51291·
 1991 08  64129.
 1991 09  89114·
 1991 10  97143.
 1991 11  92115·
 1991 12  12127·
 1992 01 55102.
 1992 02 32140.
 1992 03 43106.
 1992 04 7861.
 1992 05 43108·
 1992 06 14151.
 1992 07 11302·
 1992 08 0116·
 1992 09 2393·
 1992 10 43138.
 1992 11 26108.
 1992 12 42122·
 1993 01  88112.
 1993 02  44112·
 1993 03  46103.
 1993 04  91111·
 1993 05  5995.
 1993 06  68158·
 1993 07  53272·
 1993 08  60128·
 1993 09  7891.
 1993 10  91165·
 1993 11  53107·
 1993 12  86140.
 1994 01 1672.
 1994 02 13126·
 1994 03 7784·
 1994 04 3469.
 1994 05 66129·
 1994 06 58150.
 1994 07 82144·
 1994 08 90127.
 1994 09 4737·
 1994 10 79133·
 1994 11 5188·
 1994 12 68108.
 1995 01  470.
 1995 02  49124.
 1995 03  8991.
 1995 04  652.
 1995 05  6127·
 1995 06  69117.
 1995 07  28205.
 1995 08  66122.
 1995 09  4758·
 1995 10  66115·
 1995 11  25111.
 1995 12  36124·
 1996 01 4578·
 1996 02 88155.
 1996 03 6182·
 1996 04 2959·
 1996 05 46100·
 1996 06 12152·
 1996 07 44197·
 1996 08 8384.
 1996 09 1859.
 1996 10 37140.
 1996 11 494.
 1996 12 62134.
 1997 01  5656.
 1997 02  90108·
 1997 03  99101·
 1997 04  5267.
 1997 05  7988.
 1997 06  21135·
 1997 07  10184·
 1997 08  67142.
 1997 09  3035.
 1997 10  598.
 1997 11  4480·
 1997 12  4499·
 1998 01 7831·
 1998 02 42136·
 1998 03 31111·
 1998 04 4757.
 1998 05 1974·
 1998 06 58127.
 1998 07 30164·
 1998 08 6492.
 1998 09 7254.
 1998 10 3135·
 1998 11 22162·
 1998 12 756.
 1999 01  7960.
 1999 02  53102·
 1999 03  1265·
 1999 04  1491.
 1999 05  1185·
 1999 06  888·
 1999 07  34228·
 1999 08  4883.
 1999 09  6161·
 1999 10  93113.
 1999 11  4397·
 1999 12  97110·
 2000 01 4951·
 2000 02 59121·
 2000 03 2176·
 2000 04 7477.
 2000 05 2071.
 2000 06 8195·
 2000 07 75170·
 2000 08 1696·
 2000 09 4147·
 2000 10 6079.
 2000 11 3787·
 2000 12 88127·
 2001 01  771·
 2001 02  21104.
 2001 03  6379·
 2001 04  7566·
 2001 05  3735·
 2001 06  1485.
 2001 07  34201·
 2001 08  9394·
 2001 09  7699.
 2001 10  15103.
 2001 11  5879.


 2001 12  7790.
 2002 01 9345·
 2002 02 24118·
 2002 03 6562.
 2002 04 9296·
 2002 05 8167·
 2002 06 66142·
 2002 07 14235·
 2002 08 2594.
 2002 09 6059·
 2002 10 9282.
 2002 11 8581·
 2002 12 8981.
 2003 01  7424.
 2003 02  78110·

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 5-6 weeks 16-19 yrs.: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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