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 Series Title: Number Unemployed for 7-10 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  6028·
 2003 01  1345·
 2002 12 4519.
 2002 11 217·
 2002 10 5637.
 2002 09 7913·
 2002 08 4510·
 2002 07 5923.
 2002 06 631·
 2002 05 305·
 2002 04 3314.
 2002 03 130·
 2002 02 6012·
 2002 01 4923.
 2001 12  2216·
 2001 11  7424.
 2001 10  9421.
 2001 09  4314.
 2001 08  5019·
 2001 07  4613·
 2001 06  83.
 2001 05  425.
 2001 04  8111·
 2001 03  1113.
 2001 02  27
 2001 01  47·
 2000 12 14.
 2000 11 9016·
 2000 10 214·
 2000 09 1017·
 2000 08 259·
 2000 07 2513·
 2000 06 813.
 2000 05 6719.
 2000 04 8916.
 2000 03 8620.
 2000 02 4614.
 2000 01 621·
 1999 12  5714.
 1999 11  685.
 1999 10  419·
 1999 09  8421.
 1999 08  1622.
 1999 07  8913·
 1999 06  4324.
 1999 05  8311.
 1999 04  806·
 1999 03  9327·
 1999 02  2812·
 1999 01  1021·
 1998 12 864.
 1998 11 4916·
 1998 10 961·
 1998 09 95
 1998 08 97
 1998 07 5330·
 1998 06 7221.
 1998 05 9717.
 1998 04 19·
 1998 03 2212·
 1998 02 812.
 1998 01 9518·
 1997 12  114·
 1997 11  118.
 1997 10  779.
 1997 09  9715.
 1997 08  6614·
 1997 07  6011·
 1997 06  829·
 1997 05  3517.
 1997 04  271.
 1997 03  9110.
 1997 02  4610.
 1997 01  6633.
 1996 12 8212·
 1996 11 1615.
 1996 10 2115.
 1996 09 7011.
 1996 08 4518.
 1996 07 7627·
 1996 06 8214.
 1996 05 5412·
 1996 04 5410·
 1996 03 4315·
 1996 02 2916·
 1996 01 5124.
 1995 12  7114·
 1995 11  916·
 1995 10  888·
 1995 09  1611.
 1995 08  8415.
 1995 07  9426·
 1995 06  922.
 1995 05  324.
 1995 04  713·
 1995 03  4211.
 1995 02  6726.
 1995 01  527·
 1994 12 7617·
 1994 11 2325.
 1994 10 63
 1994 09 6715.
 1994 08 5523·
 1994 07 3030.
 1994 06 2216·
 1994 05 748.
 1994 04 3213·
 1994 03 8224.
 1994 02 9527·
 1994 01 817.
 1993 12  2011.
 1993 11  2411·
 1993 10  577·
 1993 09  759.
 1993 08  5612·
 1993 07  2510·
 1993 06  910·
 1993 05  812·
 1993 04  48.
 1993 03  7912·
 1993 02  7511·
 1993 01  6320·
 1992 12 515.
 1992 11 57.
 1992 10 613·
 1992 09 2115.
 1992 08 1015·
 1992 07 4715.
 1992 06 7816·
 1992 05 9023·
 1992 04 1914·
 1992 03 7512.
 1992 02 9014·
 1992 01 018.
 1991 12  4214·
 1991 11  8210·
 1991 10  693.
 1991 09  921.
 1991 08  6516·
 1991 07  8820·
 1991 06  6522.
 1991 05  9815.
 1991 04  27·
 1991 03  3719.
 1991 02  5320.
 1991 01  7321.
 1990 12 9110·
 1990 11 9715·
 1990 10 334·
 1990 09 6714.
 1990 08 9412.
 1990 07 6414.
 1990 06 3211·
 1990 05 3628·
 1990 04 012·
 1990 03 5619.
 1990 02 9817.
 1990 01 6226·
 1989 12  2115.
 1989 11  1715.
 1989 10  95·
 1989 09  5110·
 1989 08  9615·
 1989 07  1710·
 1989 06  6318·
 1989 05  3512·
 1989 04  8616.
 1989 03  4917·
 1989 02  8724·
 1989 01  7111.
 1988 12 8114·
 1988 11 333·
 1988 10 313.
 1988 09 4013·
 1988 08 9310·
 1988 07 138·
 1988 06 6914.
 1988 05 4818.
 1988 04 597.
 1988 03 5910.
 1988 02 414.
 1988 01 299.
 1987 12  433·
 1987 11  638·
 1987 10  6017·
 1987 09  379.
 1987 08  335.
 1987 07  465.
 1987 06  8710.
 1987 05  556·
 1987 04  415.
 1987 03  5116·
 1987 02  6014.
 1987 01  9014·
 1986 12 611·
 1986 11 4811·
 1986 10 8214·
 1986 09 72
 1986 08 895.
 1986 07 3111·
 1986 06 757·
 1986 05 6019.
 1986 04 8019.
 1986 03 1812.
 1986 02 9211·
 1986 01 3411·
 1985 12  919.
 1985 11  558.
 1985 10  720.
 1985 09  06·
 1985 08  604·
 1985 07  1010·
 1985 06  2010·
 1985 05  925.
 1985 04  508·
 1985 03  7711·
 1985 02  5812·
 1985 01  6418.
 1984 12 4910.
 1984 11 758.
 1984 10 717.
 1984 09 07.
 1984 08 6918.
 1984 07 508.
 1984 06 334.
 1984 05 510·
 1984 04 4810.
 1984 03 6914.
 1984 02 468·
 1984 01 1215·
 1983 12  5116·
 1983 11  2619.
 1983 10  3420·
 1983 09  7610·
 1983 08  6317.
 1983 07  4223·
 1983 06  4914·
 1983 05  7911.
 1983 04  9812·
 1983 03  604.
 1983 02  6512.
 1983 01  296·
 1982 12 9512.
 1982 11 5016·
 1982 10 8215.
 1982 09 578.
 1982 08 1517.
 1982 07 56.
 1982 06 2811·
 1982 05 1924·
 1982 04 4816.
 1982 03 4416·
 1982 02 5016.
 1982 01 9714·
 1981 12  521.
 1981 11  1317.
 1981 10  2621.
 1981 09  987.
 1981 08  259·
 1981 07  7914.
 1981 06  567.
 1981 05  5323.
 1981 04  7015·
 1981 03  3712·
 1981 02  6415·
 1981 01  19
 1980 12 2914.
 1980 11 613.
 1980 10 113·
 1980 09 775.
 1980 08 148.
 1980 07 317·
 1980 06 438.
 1980 05 3513.
 1980 04 638.
 1980 03 809·
 1980 02 9012.
 1980 01 2413.
 1979 12  397.
 1979 11  4710·
 1979 10  686.
 1979 09  011·
 1979 08  3014·
 1979 07  5316·
 1979 06  2611.
 1979 05  4616·
 1979 04  4917.
 1979 03  4023.
 1979 02  4034.
 1979 01  6719·
 1978 12 3418.
 1978 11 7824.
 1978 10 1114.
 1978 09 9610.
 1978 08 4717.
 1978 07 62
 1978 06 6414·
 1978 05 8910.
 1978 04 7712.
 1978 03 99.
 1978 02 4913·
 1978 01 2710.
 1977 12  3716.
 1977 11  6516.
 1977 10  4210.
 1977 09  1818.
 1977 08  6418.
 1977 07  9918·
 1977 06  4414.
 1977 05  939.
 1977 04  2112.
 1977 03  416.
 1977 02  7829·
 1977 01  921·
 1976 12 966·
 1976 11 110·
 1976 10 9713.
 1976 09 466·
 1976 08 217·
 1976 07 3215·
 1976 06 7518.
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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 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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