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 Series Title: Number Unemployed for 11-14 weeks 45-54 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  15190·
 2003 01  41157.
 2002 12 74134.
 2002 11 1197.
 2002 10 72123·
 2002 09 79148.
 2002 08 59136·
 2002 07 64118·
 2002 06 32129.
 2002 05 54115.
 2002 04 82149.
 2002 03 54147·
 2002 02 46162·
 2002 01 45161.
 2001 12  56128.
 2001 11  2585·
 2001 10  90106·
 2001 09  61112·
 2001 08  2093.
 2001 07  4586.
 2001 06  6496.
 2001 05  33103·
 2001 04  36129·
 2001 03  8117·
 2001 02  93117·
 2001 01  1893.
 2000 12 9146.
 2000 11 3471·
 2000 10 2972.
 2000 09 9773.
 2000 08 065.
 2000 07 6767·
 2000 06 4565.
 2000 05 7629·
 2000 04 9954.
 2000 03 7693·
 2000 02 43111.
 2000 01 8879.
 1999 12  5259.
 1999 11  5563·
 1999 10  4856·
 1999 09  8967·
 1999 08  4640.
 1999 07  2379·
 1999 06  1064.
 1999 05  6157.
 1999 04  9575.
 1999 03  25114·
 1999 02  5105·
 1999 01  10105·
 1998 12 3776·
 1998 11 2963.
 1998 10 3363.
 1998 09 6889.
 1998 08 3373.
 1998 07 3173.
 1998 06 2053·
 1998 05 9244·
 1998 04 7296·
 1998 03 4787.
 1998 02 1595.
 1998 01 6359·
 1997 12  6883·
 1997 11  2447.
 1997 10  9574·
 1997 09  8875·
 1997 08  5789.
 1997 07  3070.
 1997 06  6070·
 1997 05  9959·
 1997 04  3116·
 1997 03  60124·
 1997 02  3495.
 1997 01  5197·
 1996 12 9459·
 1996 11 3270.
 1996 10 7071.
 1996 09 28120.
 1996 08 4389·
 1996 07 9078.
 1996 06 4164·
 1996 05 3556·
 1996 04 8689.
 1996 03 484.
 1996 02 48101·
 1996 01 5117.
 1995 12  8864.
 1995 11  6891.
 1995 10  1757.
 1995 09  9374.
 1995 08  3783·
 1995 07  072.
 1995 06  9858·
 1995 05  8155·
 1995 04  4483·
 1995 03  46114·
 1995 02  6689.
 1995 01  7779.
 1994 12 4964·
 1994 11 75108.
 1994 10 2279.
 1994 09 1194·
 1994 08 1393.
 1994 07 7965.
 1994 06 9281·
 1994 05 4180.
 1994 04 2591.
 1994 03 79114.
 1994 02 2595·
 1994 01 48110·
 1993 12  9893·
 1993 11  1964·
 1993 10  9786·
 1993 09  3888·
 1993 08  6968.
 1993 07  6870.
 1993 06  8100·
 1993 05  4366.
 1993 04  2108.
 1993 03  19129.
 1993 02  85122.
 1993 01  21109.
 1992 12 8479·
 1992 11 9393·
 1992 10 7666.
 1992 09 5290·
 1992 08 2999·
 1992 07 3374·
 1992 06 5888·
 1992 05 4372.
 1992 04 7389·
 1992 03 8134·
 1992 02 31145.
 1992 01 26111·
 1991 12  8189.
 1991 11  1366·
 1991 10  2092.
 1991 09  5785.
 1991 08  3993.
 1991 07  66108.
 1991 06  7652·
 1991 05  1990·
 1991 04  6274·
 1991 03  13113·
 1991 02  7494.
 1991 01  1789·
 1990 12 86116.
 1990 11 2159.
 1990 10 1575·
 1990 09 8450·
 1990 08 7466.
 1990 07 8553·
 1990 06 2343.
 1990 05 7567·
 1990 04 1562·
 1990 03 2584·
 1990 02 5072·
 1990 01 7468.
 1989 12  2161·
 1989 11  8462.
 1989 10  7036·
 1989 09  8648·
 1989 08  3157·
 1989 07  3135·
 1989 06  8552.
 1989 05  4246.
 1989 04  765·
 1989 03  6181·
 1989 02  1969.
 1989 01  190.
 1988 12 3769.
 1988 11 9338.
 1988 10 2333·
 1988 09 4262.
 1988 08 3350.
 1988 07 7146.
 1988 06 7243.
 1988 05 7334.
 1988 04 3569·
 1988 03 6488.
 1988 02 6661.
 1988 01 2668·
 1987 12  450·
 1987 11  6658·
 1987 10  3259.
 1987 09  5733·
 1987 08  2944.
 1987 07  9650.
 1987 06  1940·
 1987 05  4846.
 1987 04  2258·
 1987 03  99109.
 1987 02  378·
 1987 01  572.
 1986 12 2267·
 1986 11 4450·
 1986 10 8464.
 1986 09 6150·
 1986 08 9178·
 1986 07 2450·
 1986 06 8840·
 1986 05 7155·
 1986 04 1778·
 1986 03 5989·
 1986 02 6589.
 1986 01 1775.
 1985 12  1373.
 1985 11  9359.
 1985 10  9053·
 1985 09  766·
 1985 08  1872.
 1985 07  9638.
 1985 06  6445·
 1985 05  7137·
 1985 04  9378·
 1985 03  6197·
 1985 02  1276.
 1985 01  6690·
 1984 12 2693.
 1984 11 764·
 1984 10 8551.
 1984 09 7460·
 1984 08 3269·
 1984 07 7968·
 1984 06 5753·
 1984 05 245·
 1984 04 4668.
 1984 03 46109.
 1984 02 30104.
 1984 01 8167.
 1983 12  3493.
 1983 11  170.
 1983 10  2854·
 1983 09  6883·
 1983 08  8173·
 1983 07  6555·
 1983 06  352·
 1983 05  4467.
 1983 04  272·
 1983 03  80104·
 1983 02  29135.
 1983 01  17117·
 1982 12 3397.
 1982 11 1872·
 1982 10 770.
 1982 09 1784.
 1982 08 3973.
 1982 07 7081.
 1982 06 6366·
 1982 05 292·
 1982 04 775.
 1982 03 57110.
 1982 02 4699.
 1982 01 5291·
 1981 12  4962·
 1981 11  2359·
 1981 10  3241·
 1981 09  7663.
 1981 08  452·
 1981 07  3759.
 1981 06  2147·
 1981 05  336·
 1981 04  3464.
 1981 03  9373·
 1981 02  3967·
 1981 01  9285.
 1980 12 2865·
 1980 11 1051·
 1980 10 3749.
 1980 09 2361.
 1980 08 9868.
 1980 07 3257.
 1980 06 8955.
 1980 05 447.
 1980 04 8241.
 1980 03 2979·
 1980 02 9681·
 1980 01 6568.
 1979 12  4461.
 1979 11  9443·
 1979 10  8447·
 1979 09  6435·
 1979 08  7036·
 1979 07  4747·
 1979 06  231.
 1979 05  8242·
 1979 04  7464.
 1979 03  3273·
 1979 02  2785.
 1979 01  2660.
 1978 12 9460·
 1978 11 1846.
 1978 10 5850.
 1978 09 2848.
 1978 08 9353·
 1978 07 9958·
 1978 06 2132.
 1978 05 4333.
 1978 04 5844·
 1978 03 9470·
 1978 02 6674.
 1978 01 5461.
 1977 12  370.
 1977 11  4851.
 1977 10  7045·
 1977 09  6847.
 1977 08  6570.
 1977 07  2934·
 1977 06  3143·
 1977 05  1665·
 1977 04  756·
 1977 03  3295·
 1977 02  7687.
 1977 01  5485·
 1976 12 1787.
 1976 11 7681.
 1976 10 5547.
 1976 09 6464·
 1976 08 854.
 1976 07 560·
 1976 06 4343.
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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 45-54 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

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