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 Series Title: Number Unemployed for 11-14 yrs. weeks 65 yrs. & over Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  1921.
 2003 01  375.
 2002 12 115.
 2002 10 164.
 2002 09 569.
 2002 08 338.
 2002 07 559·
 2002 05 561.
 2002 04 53
 2002 03 2117.
 2002 02 9314.
 2002 01 8816.
 2001 12  6117·
 2001 11  838.
 2001 10  392·
 2001 09  564.
 2001 08  555.
 2001 07  251.
 2001 06  313.
 2001 05  306·
 2001 03  358·
 2001 02  807.
 2001 01  309·
 2000 12 46.
 2000 11 263·
 2000 10 34·
 2000 09 267.
 2000 08 971.
 2000 07 803.
 2000 06 775.
 2000 05 316.
 2000 04 5310.
 2000 03 717·
 2000 02 88·
 2000 01 833.
 1999 12  427.
 1999 11  00.
 1999 10  2713.
 1999 09  4518.
 1999 08  569·
 1999 05  924.
 1999 04  9210.
 1999 03  57·
 1999 02  1711.
 1999 01  986.
 1998 12 845.
 1998 11 764.
 1998 10 676.
 1998 08 9212.
 1998 07 914·
 1998 04 954.
 1998 03 75
 1998 02 763·
 1998 01 013.
 1997 12  252.
 1997 11  375·
 1997 10  75
 1997 09  125.
 1997 08  55
 1997 07  714·
 1997 05  393·
 1997 04  284.
 1997 03  974.
 1997 02  2121·
 1997 01  449.
 1996 12 559·
 1996 11 892·
 1996 10 564·
 1996 09 892·
 1996 08 2314.
 1996 07 952.
 1996 06 713.
 1996 05 17·
 1996 04 8910·
 1996 03 11·
 1996 02 857·
 1996 01 3010·
 1995 12  361·
 1995 11  2111.
 1995 10  415.
 1995 09  5110·
 1995 08  7012·
 1995 07  9212·
 1995 06  10
 1995 05  64
 1995 04  2110·
 1995 03  7814.
 1995 02  844.
 1995 01  955·
 1994 12 48
 1994 11 673.
 1994 10 849.
 1994 09 944.
 1994 08 325.
 1994 07 712.
 1994 06 539.
 1994 05 37
 1994 04 792·
 1994 03 287·
 1994 02 61
 1994 01 257·
 1993 12  219·
 1993 11  26.
 1993 10  13.
 1993 09  815·
 1993 08  1415·
 1993 07  79
 1993 06  931.
 1993 05  582.
 1993 04  414.
 1993 03  746.
 1993 02  817·
 1993 01  294·
 1992 11 79·
 1992 10 236·
 1992 09 34
 1992 07 977·
 1992 06 451·
 1992 05 905·
 1992 04 467·
 1992 03 85
 1992 02 1111·
 1992 01 626·
 1991 12  375·
 1991 11  459.
 1991 10  872·
 1991 09  532.
 1991 08  503.
 1991 07  522.
 1991 06  80
 1991 05  19.
 1991 04  5410·
 1991 03  65·
 1991 02  203.
 1991 01  672.
 1990 12 455.
 1990 11 324·
 1990 09 65
 1990 08 418.
 1990 07 409·
 1990 06 817·
 1990 05 973.
 1990 04 3510·
 1990 03 857.
 1990 02 291·
 1990 01 22
 1989 12  874·
 1989 11  473.
 1989 10  765.
 1989 09  71
 1989 08  594.
 1989 07  222.
 1989 06  463.
 1989 05  12·
 1989 03  415.
 1989 02  293.
 1989 01  921·
 1988 12 955.
 1988 11 445.
 1988 10 113·
 1988 09 872·
 1988 07 5811·
 1988 06 66·
 1988 05 383·
 1988 03 32
 1988 02 225.
 1988 01 916·
 1987 12  34·
 1987 11  538·
 1987 10  443.
 1987 09  861·
 1987 08  27
 1987 05  11.
 1987 04  51.
 1987 03  4
 1987 02  534.
 1986 12 504.
 1986 11 139·
 1986 10 843.
 1986 09 502.
 1986 08 07·
 1986 07 981.
 1986 06 871·
 1986 05 134.
 1986 03 785.
 1986 02 185.
 1986 01 23.
 1985 12  601·
 1985 11  345·
 1985 10  542.
 1985 09  424.
 1985 08  366·
 1985 07  429.
 1985 06  135.
 1985 05  452.
 1985 04  10
 1985 03  55.
 1985 02  26
 1985 01  733·
 1984 12 76
 1984 11 462·
 1984 10 492.
 1984 09 141·
 1984 08 533·
 1984 07 169·
 1984 06 664.
 1984 05 823.
 1984 04 864.
 1984 03 91
 1984 02 815.
 1983 12  143.
 1983 11  421·
 1983 09  701.
 1983 08  285·
 1983 07  733·
 1983 06  183.
 1983 05  811·
 1983 04  628.
 1983 03  476·
 1983 02  314.
 1983 01  723·
 1982 12 655.
 1982 11 491.
 1982 10 269·
 1982 09 195·
 1982 08 454.
 1982 07 174.
 1982 06 722·
 1982 05 234·
 1982 04 319.
 1982 03 1318.
 1982 02 633·
 1982 01 87·
 1981 12  8210·
 1981 11  262·
 1981 10  192.
 1981 08  274.
 1981 07  783.
 1981 06  682.
 1981 05  832·
 1981 04  525·
 1981 03  277.
 1981 02  789·
 1981 01  244·
 1980 12 862.
 1980 11 606.
 1980 10 173.
 1980 09 371.
 1980 08 544.
 1980 07 337·
 1980 06 756.
 1980 05 426·
 1980 04 55.
 1980 03 292.
 1980 02 648.
 1980 01 81
 1979 12  163.
 1979 11  53
 1979 10  225.
 1979 09  2410·
 1979 08  876.
 1979 07  392·
 1979 06  115.
 1979 05  653.
 1979 04  424.
 1979 03  4116.
 1979 02  2012.
 1979 01  246·
 1978 12 334.
 1978 11 424·
 1978 10 62
 1978 09 447.
 1978 08 354·
 1978 07 492·
 1978 06 743.
 1978 05 963.
 1978 04 485.
 1978 03 9312·
 1978 02 2010.
 1978 01 7112.
 1977 12  987·
 1977 11  316·
 1977 10  868.
 1977 09  913.
 1977 08  3515·
 1977 07  448.
 1977 06  876.
 1977 05  9910.
 1977 04  34
 1977 03  39
 1977 02  6016·
 1976 12 6512·
 1976 11 962.
 1976 10 4810·
 1976 09 6812·
 1976 08 81
 1976 07 46
 1976 06 27
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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

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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 65 yrs. & over Male: 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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