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 Series Title: Number Unemployed for 11-14 weeks 35-44 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  83267·
 2003 01  13167.
 2002 12 2156·
 2002 11 71169·
 2002 10 66180·
 2002 09 34179·
 2002 08 26166.
 2002 07 20143.
 2002 06 78148.
 2002 05 17148.
 2002 04 13185.
 2002 03 31245·
 2002 02 69187.
 2002 01 42223.
 2001 12  77226.
 2001 11  47144.
 2001 10  15168.
 2001 09  16156.
 2001 08  55195·
 2001 07  37132.
 2001 06  16117.
 2001 05  71102·
 2001 04  11144·
 2001 03  97155·
 2001 02  97166.
 2001 01  6478.
 2000 12 31116·
 2000 11 4389.
 2000 10 1089.
 2000 09 7692·
 2000 08 29110.
 2000 07 2280.
 2000 06 28110·
 2000 05 13109·
 2000 04 42127.
 2000 03 2152.
 2000 02 53135·
 2000 01 8115·
 1999 12  35118.
 1999 11  7661·
 1999 10  1082.
 1999 09  18107.
 1999 08  94122·
 1999 07  65104.
 1999 06  4982.
 1999 05  2387.
 1999 04  32136·
 1999 03  13141.
 1999 02  46155.
 1999 01  30152·
 1998 12 88108·
 1998 11 8876·
 1998 10 171·
 1998 09 7196.
 1998 08 23154·
 1998 07 85120.
 1998 06 3984.
 1998 05 3114.
 1998 04 27136·
 1998 03 22148.
 1998 02 12148·
 1998 01 8154.
 1997 12  12127·
 1997 11  45120.
 1997 10  94106.
 1997 09  91128·
 1997 08  16168·
 1997 07  22126·
 1997 06  8589.
 1997 05  8599·
 1997 04  2152·
 1997 03  47174.
 1997 02  12197·
 1997 01  46181.
 1996 12 57147·
 1996 11 39150·
 1996 10 24128·
 1996 09 56171·
 1996 08 95162·
 1996 07 43139.
 1996 06 9766·
 1996 05 21169·
 1996 04 53151.
 1996 03 28213.
 1996 02 31188.
 1996 01 74174.
 1995 12  95161.
 1995 11  88132·
 1995 10  52136.
 1995 09  70157·
 1995 08  7199.
 1995 07  41134.
 1995 06  10113.
 1995 05  92143·
 1995 04  4195.
 1995 03  33212·
 1995 02  80171.
 1995 01  45161·
 1994 12 23132·
 1994 11 32111.
 1994 10 63129·
 1994 09 63183·
 1994 08 27154.
 1994 07 32117.
 1994 06 85119·
 1994 05 1138.
 1994 04 4158.
 1994 03 53234·
 1994 02 95196.
 1994 01 41168·
 1993 12  66159·
 1993 11  38173·
 1993 10  69163·
 1993 09  89132·
 1993 08  52147·
 1993 07  57133.
 1993 06  7162·
 1993 05  78119·
 1993 04  24202·
 1993 03  5250·
 1993 02  35222.
 1993 01  63171·
 1992 12 71206·
 1992 11 99181·
 1992 10 4149·
 1992 09 28159·
 1992 08 4149.
 1992 07 85141.
 1992 06 88126.
 1992 05 77154·
 1992 04 63195·
 1992 03 31220·
 1992 02 87201.
 1992 01 43200·
 1991 12  10170·
 1991 11  31157·
 1991 10  29137·
 1991 09  83146·
 1991 08  33164·
 1991 07  5147·
 1991 06  61165.
 1991 05  78157.
 1991 04  45166·
 1991 03  97289.
 1991 02  61224·
 1991 01  34203.
 1990 12 83159·
 1990 11 76145.
 1990 10 29104·
 1990 09 84140·
 1990 08 11120.
 1990 07 36114.
 1990 06 8993·
 1990 05 8492·
 1990 04 17145·
 1990 03 97149.
 1990 02 93139·
 1990 01 15137·
 1989 12  13117·
 1989 11  1106.
 1989 10  1683.
 1989 09  8598·
 1989 08  37111·
 1989 07  19106.
 1989 06  5780·
 1989 05  2570·
 1989 04  5289·
 1989 03  45142.
 1989 02  43129·
 1989 01  92127·
 1988 12 46111·
 1988 11 9869·
 1988 10 2482·
 1988 09 6691.
 1988 08 33114·
 1988 07 2170·
 1988 06 7576·
 1988 05 5675.
 1988 04 4979·
 1988 03 85141·
 1988 02 97162·
 1988 01 92143·
 1987 12  5797.
 1987 11  8280·
 1987 10  14104·
 1987 09  31105·
 1987 08  47106.
 1987 07  34109·
 1987 06  7873.
 1987 05  5589·
 1987 04  29124·
 1987 03  82144.
 1987 02  64124.
 1987 01  71172.
 1986 12 43123.
 1986 11 97119·
 1986 10 72109·
 1986 09 9123·
 1986 08 52126·
 1986 07 73120.
 1986 06 28110·
 1986 05 28112.
 1986 04 43131·
 1986 03 29168.
 1986 02 82159.
 1986 01 7116·
 1985 12  28133·
 1985 11  992·
 1985 10  999·
 1985 09  55104·
 1985 08  47100.
 1985 07  83138·
 1985 06  10103·
 1985 05  298.
 1985 04  6191.
 1985 03  43147.
 1985 02  10152.
 1985 01  6136·
 1984 12 5983·
 1984 11 1087·
 1984 10 59101·
 1984 09 4787.
 1984 08 54107.
 1984 07 2871·
 1984 06 3476·
 1984 05 3379.
 1984 04 83115.
 1984 03 65145·
 1984 02 33145.
 1984 01 95148·
 1983 12  1092·
 1983 11  1678·
 1983 10  84130·
 1983 09  90112·
 1983 08  22102.
 1983 07  1123.
 1983 06  36108.
 1983 05  0122.
 1983 04  32166·
 1983 03  62201·
 1983 02  64197.
 1983 01  31207·
 1982 12 78182.
 1982 11 70206·
 1982 10 69148.
 1982 09 14150·
 1982 08 23151.
 1982 07 1899·
 1982 06 76122·
 1982 05 786.
 1982 04 55153·
 1982 03 26163.
 1982 02 36171·
 1982 01 91148.
 1981 12  87146.
 1981 11  3870·
 1981 10  2474·
 1981 09  7287.
 1981 08  5696·
 1981 07  2256.
 1981 06  4064·
 1981 05  8344·
 1981 04  2696.
 1981 03  73128.
 1981 02  1098.
 1981 01  8092.
 1980 12 84108.
 1980 11 11104·
 1980 10 8574·
 1980 09 4597.
 1980 08 44131·
 1980 07 7996.
 1980 06 3975·
 1980 05 8389.
 1980 04 4369·
 1980 03 4784·
 1980 02 7386·
 1980 01 2882·
 1979 12  4478·
 1979 11  870·
 1979 10  1342.
 1979 09  3557.
 1979 08  3459·
 1979 07  8142.
 1979 06  848·
 1979 05  8654.
 1979 04  2843·
 1979 03  1282.
 1979 02  3586·
 1979 01  8982.
 1978 12 6368.
 1978 11 6859·
 1978 10 9338·
 1978 09 7351·
 1978 08 136·
 1978 07 4534·
 1978 06 841·
 1978 05 9759·
 1978 04 3054.
 1978 03 6182·
 1978 02 3078·
 1978 01 4160.
 1977 12  6462·
 1977 11  6168·
 1977 10  3571.
 1977 09  1355·
 1977 08  4152.
 1977 07  1351·
 1977 06  2468.
 1977 05  4473.
 1977 04  2271.
 1977 03  11114·
 1977 02  2087.
 1977 01  9096·
 1976 12 9780.
 1976 11 7670·
 1976 10 7668·
 1976 09 3451·
 1976 08 7858·
 1976 07 5156.
 1976 06 6666·
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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 weeks 35-44 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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