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 Series Title: Number Unemployed for 11-14 yrs. weeks 16-19 yrs.: NSA (Thousands)
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 2003 02  50100·
 2003 01  36118·
 2002 12 4103.
 2002 11 82127·
 2002 10 2299·
 2002 09 79138.
 2002 08 8127·
 2002 07 9498.
 2002 06 590·
 2002 05 65116·
 2002 04 56115·
 2002 03 49103.
 2002 02 4898·
 2002 01 74127·
 2001 12  62124.
 2001 11  90119.
 2001 10  27105·
 2001 09  14124.
 2001 08  6487·
 2001 07  8690.
 2001 06  4277.
 2001 05  1660·
 2001 04  2479.
 2001 03  33106.
 2001 02  1976.
 2001 01  3773.
 2000 12 3083·
 2000 11 4991·
 2000 10 762·
 2000 09 59113·
 2000 08 9593·
 2000 07 7793·
 2000 06 8476·
 2000 05 8779·
 2000 04 5877·
 2000 03 8893·
 2000 02 4897.
 2000 01 5492·
 1999 12  8081.
 1999 11  76123·
 1999 10  2562.
 1999 09  16147·
 1999 08  5084·
 1999 07  5958·
 1999 06  6683.
 1999 05  5679.
 1999 04  8070.
 1999 03  81117·
 1999 02  46100·
 1999 01  79127·
 1998 12 995·
 1998 11 13131.
 1998 10 6582.
 1998 09 17120·
 1998 08 0127·
 1998 07 4791·
 1998 06 4997.
 1998 05 2891·
 1998 04 4099·
 1998 03 4101.
 1998 02 4890.
 1998 01 91100.
 1997 12  4291·
 1997 11  26138·
 1997 10  38122.
 1997 09  15171·
 1997 08  45155·
 1997 07  8597.
 1997 06  1878.
 1997 05  3164·
 1997 04  10122·
 1997 03  72144·
 1997 02  15164.
 1997 01  95116.
 1996 12 26123·
 1996 11 8118.
 1996 10 79109·
 1996 09 90145·
 1996 08 6163.
 1996 07 38143.
 1996 06 8588.
 1996 05 21121·
 1996 04 88168.
 1996 03 29120.
 1996 02 3397.
 1996 01 20124.
 1995 12  34133.
 1995 11  76133.
 1995 10  50108·
 1995 09  45135.
 1995 08  33188·
 1995 07  98146·
 1995 06  84100·
 1995 05  7698.
 1995 04  97119·
 1995 03  40116·
 1995 02  1389·
 1995 01  21112·
 1994 12 65126·
 1994 11 7095.
 1994 10 35119·
 1994 09 10153.
 1994 08 99187.
 1994 07 83108·
 1994 06 7794·
 1994 05 176.
 1994 04 86145·
 1994 03 98110·
 1994 02 88139.
 1994 01 75120.
 1993 12  4175.
 1993 11  5890·
 1993 10  4563.
 1993 09  40103·
 1993 08  0161·
 1993 07  3494·
 1993 06  4884.
 1993 05  2555·
 1993 04  27124·
 1993 03  19128.
 1993 02  21103·
 1993 01  8983.
 1992 12 10104.
 1992 11 32124.
 1992 10 1696.
 1992 09 13152·
 1992 08 61156·
 1992 07 1894.
 1992 06 872.
 1992 05 379·
 1992 04 18112.
 1992 03 45113.
 1992 02 97107·
 1992 01 9190·
 1991 12  45152.
 1991 11  8120·
 1991 10  9105·
 1991 09  34129.
 1991 08  29128.
 1991 07  2682.
 1991 06  9375·
 1991 05  1394.
 1991 04  83101·
 1991 03  43122.
 1991 02  2694.
 1991 01  3577·
 1990 12 4565.
 1990 11 29100·
 1990 10 885·
 1990 09 32110·
 1990 08 78148·
 1990 07 7640.
 1990 06 6448·
 1990 05 6067·
 1990 04 6964·
 1990 03 578·
 1990 02 4472·
 1990 01 177·
 1989 12  3386.
 1989 11  6097.
 1989 10  2458·
 1989 09  6281.
 1989 08  580·
 1989 07  952.
 1989 06  538·
 1989 05  7475·
 1989 04  5064.
 1989 03  4890.
 1989 02  1175·
 1989 01  9458.
 1988 12 5576·
 1988 11 9489·
 1988 10 9448·
 1988 09 397.
 1988 08 34116·
 1988 07 9351·
 1988 06 2849·
 1988 05 831·
 1988 04 2344.
 1988 03 1381.
 1988 02 1462.
 1988 01 41111.
 1987 12  8786·
 1987 11  48100·
 1987 10  7786.
 1987 09  59108·
 1987 08  12116·
 1987 07  1859.
 1987 06  6854.
 1987 05  4262.
 1987 04  1269.
 1987 03  67106.
 1987 02  61103·
 1987 01  9889·
 1986 12 25120·
 1986 11 63124.
 1986 10 5970.
 1986 09 59158·
 1986 08 13186.
 1986 07 285.
 1986 06 8556.
 1986 05 8084·
 1986 04 65117·
 1986 03 2111.
 1986 02 90109·
 1986 01 4483.
 1985 12  93110·
 1985 11  7119·
 1985 10  50102·
 1985 09  58130·
 1985 08  35141.
 1985 07  8662.
 1985 06  6581·
 1985 05  5296.
 1985 04  54107·
 1985 03  34103·
 1985 02  6196·
 1985 01  84114·
 1984 12 38113.
 1984 11 70105·
 1984 10 8782·
 1984 09 35157.
 1984 08 0186.
 1984 07 3892·
 1984 06 1986.
 1984 05 1199·
 1984 04 7899·
 1984 03 7124.
 1984 02 58124·
 1984 01 46118·
 1983 12  35152·
 1983 11  70155.
 1983 10  29130.
 1983 09  94199·
 1983 08  58225·
 1983 07  4978·
 1983 06  82118·
 1983 05  3895·
 1983 04  60144.
 1983 03  85159.
 1983 02  93139.
 1983 01  84163·
 1982 12 80248·
 1982 11 49197·
 1982 10 62154.
 1982 09 65283.
 1982 08 80277.
 1982 07 35111·
 1982 06 15136.
 1982 05 36103·
 1982 04 48158·
 1982 03 62194·
 1982 02 2163.
 1982 01 79117·
 1981 12  97172.
 1981 11  74172.
 1981 10  98118.
 1981 09  1224.
 1981 08  65188·
 1981 07  39111.
 1981 06  399.
 1981 05  3484·
 1981 04  1498·
 1981 03  53143·
 1981 02  44144·
 1981 01  34120.
 1980 12 33131.
 1980 11 35137·
 1980 10 70110.
 1980 09 83170.
 1980 08 35193.
 1980 07 28106·
 1980 06 5791.
 1980 05 8895.
 1980 04 58112.
 1980 03 2163·
 1980 02 5120.
 1980 01 7996·
 1979 12  63110.
 1979 11  50100·
 1979 10  4068·
 1979 09  15112·
 1979 08  40137·
 1979 07  9362.
 1979 06  1284·
 1979 05  7695·
 1979 04  196.
 1979 03  74157.
 1979 02  97102.
 1979 01  68145.
 1978 12 84169.
 1978 11 62117·
 1978 10 9476·
 1978 09 25136.
 1978 08 52149.
 1978 07 5184.
 1978 06 29101.
 1978 05 280·
 1978 04 93122·
 1978 03 61154.
 1978 02 53117·
 1978 01 8194·
 1977 12  19131·
 1977 11  35137.
 1977 10  41115.
 1977 09  68190·
 1977 08  69169·
 1977 07  4498.
 1977 06  9491.
 1977 05  9676.
 1977 04  5117·
 1977 03  80149·
 1977 02  36111·
 1977 01  21126.
 1976 12 16191·
 1976 11 64154.
 1976 10 18101.
 1976 09 24175.
 1976 08 14204.
 1976 07 3885·
 1976 06 16112.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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.
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      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.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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