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 Series Title: Number Unemployed for 11-14 yrs. weeks 65 yrs. & over: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  2329·
 2003 01  7020.
 2002 12 157·
 2002 11 689·
 2002 10 625.
 2002 09 329·
 2002 08 1420.
 2002 07 7712·
 2002 06 680.
 2002 05 927·
 2002 04 1413.
 2002 03 8521.
 2002 02 9021.
 2002 01 3318.
 2001 12  2826.
 2001 11  3518.
 2001 10  5
 2001 09  6013·
 2001 08  9310.
 2001 07  972·
 2001 06  123.
 2001 05  56·
 2001 04  732·
 2001 03  6511·
 2001 02  3718.
 2001 01  269.
 2000 12 5615.
 2000 11 596.
 2000 10 3010.
 2000 09 37·
 2000 08 533.
 2000 07 217.
 2000 06 676.
 2000 05 4417.
 2000 04 411.
 2000 03 2315.
 2000 02 489.
 2000 01 7911·
 1999 12  7210.
 1999 11  571.
 1999 10  9817·
 1999 09  6718.
 1999 08  4311·
 1999 07  422·
 1999 06  68
 1999 05  8710·
 1999 04  3117·
 1999 03  2418.
 1999 02  3415.
 1999 01  4711·
 1998 12 747.
 1998 11 716.
 1998 10 9511·
 1998 08 7921·
 1998 07 3520·
 1998 04 774·
 1998 03 7710·
 1998 02 398.
 1998 01 119.
 1997 12  617.
 1997 11  317·
 1997 10  99·
 1997 09  8611·
 1997 08  6811.
 1997 07  3111.
 1997 06  956.
 1997 05  275.
 1997 04  6612·
 1997 03  7911·
 1997 02  2927·
 1997 01  8714·
 1996 12 5121.
 1996 11 992.
 1996 10 688·
 1996 09 555·
 1996 08 4026.
 1996 07 427·
 1996 06 93
 1996 05 426·
 1996 04 7816.
 1996 03 837·
 1996 02 1210·
 1996 01 8822.
 1995 12  340·
 1995 11  2413·
 1995 10  557·
 1995 09  5414.
 1995 08  317.
 1995 07  8824.
 1995 06  7913·
 1995 05  296.
 1995 04  314.
 1995 03  2713·
 1995 02  668·
 1995 01  269.
 1994 12 798.
 1994 11 166.
 1994 10 238·
 1994 09 8210·
 1994 08 010.
 1994 07 55
 1994 06 8110·
 1994 05 6112·
 1994 04 592.
 1994 03 7010·
 1994 02 978·
 1994 01 5017·
 1993 12  7615·
 1993 11  1111.
 1993 10  528.
 1993 09  6210.
 1993 08  9618·
 1993 07  544.
 1993 06  532·
 1993 05  352·
 1993 04  875·
 1993 03  988·
 1993 02  3213·
 1993 01  322.
 1992 12 4413.
 1992 11 7014.
 1992 10 4610.
 1992 09 41
 1992 08 853.
 1992 07 196·
 1992 06 764.
 1992 05 756·
 1992 04 5418.
 1992 03 2210·
 1992 02 2815.
 1992 01 7113.
 1991 12  22
 1991 11  7811.
 1991 10  345.
 1991 09  934.
 1991 08  825.
 1991 07  129.
 1991 06  5210.
 1991 05  2815.
 1991 04  5312.
 1991 03  7613·
 1991 02  629·
 1991 01  8910.
 1990 12 7915.
 1990 11 4511·
 1990 10 726·
 1990 09 1511.
 1990 08 299.
 1990 07 1813·
 1990 06 127·
 1990 05 684.
 1990 04 9913·
 1990 03 228.
 1990 02 407·
 1990 01 368·
 1989 12  65.
 1989 11  74·
 1989 10  378·
 1989 09  3114.
 1989 08  947·
 1989 07  484·
 1989 06  105·
 1989 05  933·
 1989 04  345.
 1989 03  465.
 1989 02  90
 1989 01  835.
 1988 12 1915·
 1988 11 2510·
 1988 10 3411.
 1988 09 897.
 1988 08 688·
 1988 07 3714·
 1988 06 2410·
 1988 05 2510·
 1988 03 2611.
 1988 02 57
 1988 01 6711.
 1987 12  296·
 1987 11  619.
 1987 10  845.
 1987 09  93
 1987 08  627.
 1987 07  684.
 1987 06  462.
 1987 04  613.
 1987 03  147·
 1987 02  666·
 1986 12 91
 1986 11 5014.
 1986 10 966·
 1986 09 994.
 1986 08 958.
 1986 06 689·
 1986 05 485.
 1986 04 36
 1986 03 5913·
 1986 02 479.
 1986 01 31
 1985 12  711·
 1985 11  910·
 1985 10  442.
 1985 09  3411.
 1985 08  249.
 1985 07  9312.
 1985 06  396.
 1985 05  692·
 1985 04  386.
 1985 03  899.
 1985 02  3912.
 1985 01  75
 1984 12 836·
 1984 11 965·
 1984 10 775·
 1984 09 156·
 1984 08 523·
 1984 07 408.
 1984 06 83.
 1984 05 757.
 1984 04 666.
 1984 03 7011·
 1984 02 159·
 1983 12  7010.
 1983 11  683.
 1983 10  634.
 1983 09  46·
 1983 08  367.
 1983 07  274.
 1983 06  1912·
 1983 05  73.
 1983 04  3810·
 1983 03  37
 1983 02  639·
 1983 01  803.
 1982 12 628.
 1982 11 181.
 1982 10 4610·
 1982 09 55·
 1982 08 22
 1982 07 1411.
 1982 06 425·
 1982 05 883.
 1982 04 5510.
 1982 03 9318·
 1982 02 533.
 1982 01 626·
 1981 12  2511.
 1981 11  518·
 1981 10  42.
 1981 09  833·
 1981 08  195·
 1981 07  54·
 1981 06  45
 1981 05  32
 1981 04  518.
 1981 03  19.
 1981 02  5213.
 1981 01  177·
 1980 12 586.
 1980 11 710·
 1980 10 245.
 1980 09 683.
 1980 08 26.
 1980 07 187.
 1980 06 888·
 1980 05 4312.
 1980 04 7310·
 1980 03 526·
 1980 02 9414·
 1980 01 235·
 1979 12  82
 1979 11  547·
 1979 10  1612·
 1979 09  1510·
 1979 08  6810·
 1979 07  933·
 1979 06  56
 1979 05  50
 1979 04  9417·
 1979 03  6424.
 1979 02  3913·
 1979 01  85
 1978 12 479·
 1978 11 846·
 1978 10 163·
 1978 09 212·
 1978 08 41
 1978 07 99
 1978 06 617.
 1978 05 75·
 1978 04 1218·
 1978 03 7717.
 1978 02 7510·
 1978 01 3214.
 1977 12  258.
 1977 11  136.
 1977 10  8414·
 1977 09  337.
 1977 08  6716·
 1977 07  26
 1977 06  377.
 1977 05  9313.
 1977 04  515.
 1977 03  5910.
 1977 02  1120·
 1977 01  180.
 1976 12 1513.
 1976 11 833.
 1976 10 520·
 1976 09 3917·
 1976 08 217·
 1976 07 917·
 1976 06 45
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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 11-14 yrs. weeks 65 yrs. & over: 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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