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 Series Title: Number Unemployed for 11-14 yrs. weeks 20 yrs. & overFemale: NSA (Thousands)
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 2003 02  71374·
 2003 01  24391·
 2002 12 6258·
 2002 11 68310·
 2002 10 87310·
 2002 09 43318.
 2002 08 16374·
 2002 07 18262.
 2002 06 39293·
 2002 05 29273·
 2002 04 96380.
 2002 03 35378.
 2002 02 76362·
 2002 01 64365·
 2001 12  59358·
 2001 11  64241·
 2001 10  74313·
 2001 09  54329·
 2001 08  42327.
 2001 07  74256.
 2001 06  33178·
 2001 05  32210·
 2001 04  9247.
 2001 03  58241·
 2001 02  79205.
 2001 01  53250.
 2000 12 47179·
 2000 11 37177·
 2000 10 62188.
 2000 09 0203·
 2000 08 69292·
 2000 07 53141.
 2000 06 57179·
 2000 05 79205.
 2000 04 13214·
 2000 03 77228.
 2000 02 65234·
 2000 01 21212.
 1999 12  41189·
 1999 11  3177·
 1999 10  12180·
 1999 09  84224·
 1999 08  43255·
 1999 07  48224·
 1999 06  47181.
 1999 05  49146·
 1999 04  30263·
 1999 03  59245.
 1999 02  46261.
 1999 01  22199·
 1998 12 41198·
 1998 11 3155.
 1998 10 9237.
 1998 09 36230.
 1998 08 38278.
 1998 07 75226·
 1998 06 62175.
 1998 05 47186·
 1998 04 10279.
 1998 03 95237·
 1998 02 56273·
 1998 01 36232·
 1997 12  69235.
 1997 11  5180·
 1997 10  65201.
 1997 09  10267·
 1997 08  53283·
 1997 07  76279·
 1997 06  89182.
 1997 05  1223.
 1997 04  25285.
 1997 03  2327·
 1997 02  56273.
 1997 01  66283·
 1996 12 73278.
 1996 11 1242.
 1996 10 13278.
 1996 09 86294.
 1996 08 10325·
 1996 07 18285·
 1996 06 38160·
 1996 05 67213·
 1996 04 73299.
 1996 03 22308·
 1996 02 31221.
 1996 01 42308.
 1995 12  26208·
 1995 11  7210.
 1995 10  16314.
 1995 09  67304·
 1995 08  56362.
 1995 07  92291·
 1995 06  45231·
 1995 05  24241·
 1995 04  77285.
 1995 03  22298·
 1995 02  93221·
 1995 01  19259·
 1994 12 26238·
 1994 11 65263.
 1994 10 59221.
 1994 09 83325.
 1994 08 67322·
 1994 07 16241·
 1994 06 70309·
 1994 05 75215.
 1994 04 86312.
 1994 03 93389.
 1994 02 76331·
 1994 01 75290.
 1993 12  97277·
 1993 11  42229.
 1993 10  52285.
 1993 09  89301·
 1993 08  38283·
 1993 07  30249·
 1993 06  98263.
 1993 05  50200.
 1993 04  72332.
 1993 03  53297·
 1993 02  41309·
 1993 01  14265·
 1992 12 86312·
 1992 11 29305.
 1992 10 30264.
 1992 09 63283·
 1992 08 94329·
 1992 07 3281.
 1992 06 41238·
 1992 05 4205.
 1992 04 33293.
 1992 03 43369·
 1992 02 74326·
 1992 01 67315.
 1991 12  66315.
 1991 11  44264·
 1991 10  55271·
 1991 09  11264.
 1991 08  82318.
 1991 07  25281·
 1991 06  34225.
 1991 05  15256·
 1991 04  93278·
 1991 03  30388.
 1991 02  86264.
 1991 01  88278.
 1990 12 36260.
 1990 11 28232·
 1990 10 12246.
 1990 09 60238·
 1990 08 76240·
 1990 07 14202.
 1990 06 37171.
 1990 05 89168.
 1990 04 99235.
 1990 03 6246.
 1990 02 11189·
 1990 01 55213·
 1989 12  19257·
 1989 11  48176.
 1989 10  11164.
 1989 09  66197.
 1989 08  73243.
 1989 07  11200.
 1989 06  35214·
 1989 05  54198.
 1989 04  24197.
 1989 03  87233·
 1989 02  11192·
 1989 01  74251·
 1988 12 61233·
 1988 11 96196.
 1988 10 88149·
 1988 09 8190.
 1988 08 96230·
 1988 07 83149.
 1988 06 41166·
 1988 05 64173·
 1988 04 68197·
 1988 03 16270·
 1988 02 71222.
 1988 01 72213.
 1987 12  38176·
 1987 11  89180·
 1987 10  3182·
 1987 09  90192.
 1987 08  95250.
 1987 07  22182·
 1987 06  88164·
 1987 05  99167.
 1987 04  51231.
 1987 03  58262.
 1987 02  1193.
 1987 01  6265·
 1986 12 46250.
 1986 11 68247.
 1986 10 42215·
 1986 09 41243.
 1986 08 41292.
 1986 07 44277.
 1986 06 37216.
 1986 05 63247.
 1986 04 24269·
 1986 03 7267·
 1986 02 37253·
 1986 01 53268.
 1985 12  9272·
 1985 11  0280·
 1985 10  16248·
 1985 09  17278.
 1985 08  32276·
 1985 07  92235.
 1985 06  75195·
 1985 05  86216.
 1985 04  58240·
 1985 03  78260.
 1985 02  40269.
 1985 01  18265·
 1984 12 74283.
 1984 11 77227·
 1984 10 60237.
 1984 09 95254.
 1984 08 93292.
 1984 07 33217.
 1984 06 12192.
 1984 05 22172.
 1984 04 52224.
 1984 03 14360·
 1984 02 95285.
 1984 01 31286.
 1983 12  15238.
 1983 11  16260.
 1983 10  35249·
 1983 09  80309·
 1983 08  70315·
 1983 07  57218.
 1983 06  82259·
 1983 05  50238.
 1983 04  29292·
 1983 03  81361.
 1983 02  12342·
 1983 01  46363·
 1982 12 30379.
 1982 11 58349.
 1982 10 25306·
 1982 09 2355·
 1982 08 37369·
 1982 07 82273·
 1982 06 47274.
 1982 05 74264.
 1982 04 36330·
 1982 03 72371.
 1982 02 28319·
 1982 01 42309·
 1981 12  42315·
 1981 11  71243·
 1981 10  43215.
 1981 09  15246.
 1981 08  91257·
 1981 07  50193·
 1981 06  93201·
 1981 05  23151.
 1981 04  48229.
 1981 03  2251.
 1981 02  3235.
 1981 01  24227·
 1980 12 99259·
 1980 11 46234·
 1980 10 23215·
 1980 09 98249.
 1980 08 57289.
 1980 07 27216.
 1980 06 29186.
 1980 05 53190.
 1980 04 61189.
 1980 03 14218.
 1980 02 22223.
 1980 01 20218·
 1979 12  73247·
 1979 11  1194·
 1979 10  26175·
 1979 09  56202.
 1979 08  82212.
 1979 07  6145.
 1979 06  92144·
 1979 05  42143·
 1979 04  0174·
 1979 03  75218·
 1979 02  95204.
 1979 01  85193·
 1978 12 64238.
 1978 11 75178.
 1978 10 37126.
 1978 09 17214.
 1978 08 39184·
 1978 07 3156·
 1978 06 41134·
 1978 05 94108.
 1978 04 11172.
 1978 03 75239·
 1978 02 59213.
 1978 01 99225·
 1977 12  94238.
 1977 11  38184.
 1977 10  67226.
 1977 09  37244·
 1977 08  25271·
 1977 07  59169·
 1977 06  63181.
 1977 05  40170·
 1977 04  68180.
 1977 03  33290·
 1977 02  75224·
 1977 01  65256.
 1976 12 11266.
 1976 11 80278·
 1976 10 51219.
 1976 09 93229·
 1976 08 65212·
 1976 07 42197.
 1976 06 68176·
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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 20 yrs. & overFemale: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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