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 Series Title: Number Unemployed for 7-10 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  98183.
 2003 01  78217·
 2002 12 31148.
 2002 11 71171.
 2002 10 39158·
 2002 09 74170·
 2002 08 22225.
 2002 07 55204.
 2002 06 27197.
 2002 05 50143.
 2002 04 95174.
 2002 03 19194·
 2002 02 14240·
 2002 01 88194·
 2001 12  64184·
 2001 11  6175·
 2001 10  74157.
 2001 09  93148.
 2001 08  65195·
 2001 07  87130.
 2001 06  7110.
 2001 05  9888·
 2001 04  63128.
 2001 03  56174·
 2001 02  40141·
 2001 01  60162.
 2000 12 44116·
 2000 11 3188·
 2000 10 22128·
 2000 09 59122·
 2000 08 21149·
 2000 07 56109.
 2000 06 30111·
 2000 05 388·
 2000 04 3391·
 2000 03 1110·
 2000 02 62159.
 2000 01 23155·
 1999 12  4399.
 1999 11  60100·
 1999 10  46104·
 1999 09  76115.
 1999 08  37138·
 1999 07  52104·
 1999 06  3090.
 1999 05  4395·
 1999 04  3096.
 1999 03  22107·
 1999 02  91163.
 1999 01  32131.
 1998 12 59133·
 1998 11 37100·
 1998 10 2984·
 1998 09 73107.
 1998 08 87143.
 1998 07 93134.
 1998 06 69110.
 1998 05 2480.
 1998 04 2104.
 1998 03 9143.
 1998 02 61134·
 1998 01 65152.
 1997 12  1793.
 1997 11  28105.
 1997 10  8287.
 1997 09  5142.
 1997 08  69130.
 1997 07  21121·
 1997 06  31102.
 1997 05  7389.
 1997 04  21120.
 1997 03  80147.
 1997 02  35173.
 1997 01  28147·
 1996 12 62121.
 1996 11 2569.
 1996 10 4290·
 1996 09 5088·
 1996 08 5147.
 1996 07 1125·
 1996 06 29120.
 1996 05 47119·
 1996 04 8683.
 1996 03 76128·
 1996 02 96155·
 1996 01 49164.
 1995 12  70148.
 1995 11  4596·
 1995 10  6890.
 1995 09  1489·
 1995 08  44129.
 1995 07  27105·
 1995 06  9681.
 1995 05  2370.
 1995 04  2088.
 1995 03  65148.
 1995 02  56129·
 1995 01  83154.
 1994 12 3783.
 1994 11 3089·
 1994 10 46111·
 1994 09 2693.
 1994 08 58171.
 1994 07 14124.
 1994 06 9490·
 1994 05 7102.
 1994 04 71109.
 1994 03 38112·
 1994 02 49160·
 1994 01 9130·
 1993 12  88121.
 1993 11  45103.
 1993 10  8783.
 1993 09  39125.
 1993 08  47191·
 1993 07  5135·
 1993 06  9124.
 1993 05  28107·
 1993 04  11123.
 1993 03  12137.
 1993 02  38157·
 1993 01  32134·
 1992 12 69126·
 1992 11 8496.
 1992 10 27117.
 1992 09 34121·
 1992 08 32111·
 1992 07 66118.
 1992 06 50119.
 1992 05 39118.
 1992 04 39135·
 1992 03 28162.
 1992 02 7191·
 1992 01 80168·
 1991 12  53117·
 1991 11  6396.
 1991 10  2593.
 1991 09  1399·
 1991 08  62138.
 1991 07  90103.
 1991 06  53112·
 1991 05  21106.
 1991 04  79108.
 1991 03  54152.
 1991 02  67177·
 1991 01  8137·
 1990 12 40133·
 1990 11 23112·
 1990 10 6788·
 1990 09 8102.
 1990 08 1098·
 1990 07 9392.
 1990 06 7982·
 1990 05 7793.
 1990 04 7773.
 1990 03 8177.
 1990 02 53112.
 1990 01 96138.
 1989 12  52120·
 1989 11  3293·
 1989 10  6496.
 1989 09  7268.
 1989 08  7576.
 1989 07  1666.
 1989 06  1372.
 1989 05  3672.
 1989 04  788·
 1989 03  2686·
 1989 02  26107.
 1989 01  47110.
 1988 12 37104·
 1988 11 8195.
 1988 10 5283.
 1988 09 8476.
 1988 08 78110.
 1988 07 2769·
 1988 06 6773·
 1988 05 5460.
 1988 04 6777·
 1988 03 3165.
 1988 02 71141·
 1988 01 90117.
 1987 12  6898.
 1987 11  88101·
 1987 10  9065·
 1987 09  4864·
 1987 08  6882·
 1987 07  1784.
 1987 06  7566·
 1987 05  1076.
 1987 04  8071.
 1987 03  6285·
 1987 02  0128.
 1987 01  81113.
 1986 12 43100.
 1986 11 9390.
 1986 10 6686·
 1986 09 9577.
 1986 08 18116·
 1986 07 3108·
 1986 06 9896.
 1986 05 7102.
 1986 04 9581.
 1986 03 12109.
 1986 02 47127.
 1986 01 99119·
 1985 12  85105.
 1985 11  6499.
 1985 10  88104.
 1985 09  7786.
 1985 08  27136.
 1985 07  28119.
 1985 06  2172·
 1985 05  75108.
 1985 04  84104·
 1985 03  98116.
 1985 02  73140·
 1985 01  47130.
 1984 12 42107.
 1984 11 93116·
 1984 10 9271·
 1984 09 7698·
 1984 08 1790.
 1984 07 5797·
 1984 06 5665.
 1984 05 6893·
 1984 04 4494·
 1984 03 6091.
 1984 02 63129·
 1984 01 55131.
 1983 12  88101·
 1983 11  95118·
 1983 10  4093·
 1983 09  9489.
 1983 08  36115.
 1983 07  8390.
 1983 06  3795·
 1983 05  66116·
 1983 04  1137.
 1983 03  66129.
 1983 02  29147·
 1983 01  77125·
 1982 12 20145·
 1982 11 14172.
 1982 10 17124·
 1982 09 61127.
 1982 08 57120.
 1982 07 22134.
 1982 06 2694.
 1982 05 72103·
 1982 04 0117.
 1982 03 8132.
 1982 02 6152·
 1982 01 94136.
 1981 12  62123·
 1981 11  16105·
 1981 10  3397.
 1981 09  3186·
 1981 08  79101·
 1981 07  16106.
 1981 06  760·
 1981 05  1767·
 1981 04  1664·
 1981 03  294.
 1981 02  53102·
 1981 01  888.
 1980 12 60103·
 1980 11 9399.
 1980 10 2364.
 1980 09 8564·
 1980 08 24124·
 1980 07 32113·
 1980 06 9188·
 1980 05 5472·
 1980 04 4763.
 1980 03 9086·
 1980 02 58109·
 1980 01 4991.
 1979 12  8973·
 1979 11  6169·
 1979 10  4977·
 1979 09  2578·
 1979 08  4176.
 1979 07  6281·
 1979 06  1550·
 1979 05  6432·
 1979 04  1476·
 1979 03  4071.
 1979 02  3088.
 1979 01  7275·
 1978 12 4784·
 1978 11 6269.
 1978 10 9677·
 1978 09 8167·
 1978 08 286·
 1978 07 2371·
 1978 06 3791.
 1978 05 4965.
 1978 04 6854.
 1978 03 4263·
 1978 02 5113.
 1978 01 55111·
 1977 12  5676·
 1977 11  6374·
 1977 10  7467.
 1977 09  875·
 1977 08  694.
 1977 07  5664.
 1977 06  4555.
 1977 05  3966·
 1977 04  8087.
 1977 03  1489.
 1977 02  43131·
 1977 01  491.
 1976 12 6596·
 1976 11 5675·
 1976 10 1972.
 1976 09 8573·
 1976 08 75103·
 1976 07 2878·
 1976 06 4871·
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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.
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 7-10 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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