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 Series Title: Number Unemployed for 7-10 weeks 55-64 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 3952.
 1976 07 1055·
 1976 08 2944.
 1976 09 4331.
 1976 10 2145·
 1976 11 3765·
 1976 12 6558.
 1977 01  1073.
 1977 02  5795·
 1977 03  4959.
 1977 04  8960.
 1977 05  6342·
 1977 06  9738.
 1977 07  2926.
 1977 08  1446.
 1977 09  4758·
 1977 10  1750·
 1977 11  8478·
 1977 12  7839.
 1978 01 3054·
 1978 02 1776·
 1978 03 4451.
 1978 04 4541·
 1978 05 624.
 1978 06 2245.
 1978 07 6728.
 1978 08 143·
 1978 09 9650·
 1978 10 8328·
 1978 11 3450.
 1978 12 6147.
 1979 01  4279.
 1979 02  7588·
 1979 03  5260·
 1979 04  6145·
 1979 05  1443·
 1979 06  9930·
 1979 07  5247·
 1979 08  6449.
 1979 09  733.
 1979 10  7941·
 1979 11  9141.
 1979 12  6043.
 1980 01 3867.
 1980 02 6767.
 1980 03 5169·
 1980 04 5956·
 1980 05 5344.
 1980 06 3856·
 1980 07 3952.
 1980 08 168·
 1980 09 2154·
 1980 10 9235·
 1980 11 8550.
 1980 12 4871·
 1981 01  3552.
 1981 02  5467.
 1981 03  4770.
 1981 04  8951·
 1981 05  1648·
 1981 06  7653·
 1981 07  650.
 1981 08  3551·
 1981 09  659·
 1981 10  3151·
 1981 11  7060.
 1981 12  2595.
 1982 01 75108·
 1982 02 22102·
 1982 03 6993·
 1982 04 2279·
 1982 05 1845·
 1982 06 7277.
 1982 07 6095·
 1982 08 1467.
 1982 09 5384.
 1982 10 3352·
 1982 11 2555.
 1982 12 1381·
 1983 01  2493·
 1983 02  80105.
 1983 03  70103·
 1983 04  5778·
 1983 05  287.
 1983 06  1344.
 1983 07  2850·
 1983 08  1054.
 1983 09  7919.
 1983 10  5847.
 1983 11  5460·
 1983 12  5956.
 1984 01 7559·
 1984 02 6467·
 1984 03 3147·
 1984 04 1844.
 1984 05 3438·
 1984 06 954·
 1984 07 6557·
 1984 08 2366.
 1984 09 2536.
 1984 10 9157.
 1984 11 8777.
 1984 12 3888.
 1985 01  4379.
 1985 02  3671.
 1985 03  5572.
 1985 04  5149.
 1985 05  759.
 1985 06  9546.
 1985 07  5045·
 1985 08  7478·
 1985 09  6065.
 1985 10  4243·
 1985 11  7957·
 1985 12  4761.
 1986 01 7263.
 1986 02 8085.
 1986 03 73101·
 1986 04 3043.
 1986 05 3649·
 1986 06 3260.
 1986 07 8849·
 1986 08 1347·
 1986 09 7352·
 1986 10 4949.
 1986 11 859.
 1986 12 855.
 1987 01  2740·
 1987 02  762.
 1987 03  3771.
 1987 04  5448.
 1987 05  6549.
 1987 06  556·
 1987 07  834·
 1987 08  1255·
 1987 09  8348.
 1987 10  7024.
 1987 11  7860.
 1987 12  7153·
 1988 01 063.
 1988 02 5243.
 1988 03 2872.
 1988 04 4455.
 1988 05 6032.
 1988 06 2621.
 1988 07 6441·
 1988 08 6933.
 1988 09 3130·
 1988 10 9235·
 1988 11 1961·
 1988 12 836.
 1989 01  968·
 1989 02  7644·
 1989 03  4949.
 1989 04  5033·
 1989 05  1243.
 1989 06  2939.
 1989 07  3650·
 1989 08  768·
 1989 09  8461.
 1989 10  2547·
 1989 11  8646·
 1989 12  1846.
 1990 01 9465.
 1990 02 6565.
 1990 03 3151.
 1990 04 4459·
 1990 05 3849.
 1990 06 7535.
 1990 07 2848·
 1990 08 7545·
 1990 09 3335·
 1990 10 569·
 1990 11 5754.
 1990 12 2269.
 1991 01  2475.
 1991 02  3099·
 1991 03  2764.
 1991 04  2560.
 1991 05  8061.
 1991 06  5037·
 1991 07  6836.
 1991 08  4550.
 1991 09  9537·
 1991 10  9254.
 1991 11  3756·
 1991 12  7060.
 1992 01 8965.
 1992 02 592·
 1992 03 1765.
 1992 04 1453.
 1992 05 550.
 1992 06 6472·
 1992 07 1261·
 1992 08 1568·
 1992 09 1348.
 1992 10 7169.
 1992 11 5671·
 1992 12 3555.
 1993 01  775·
 1993 02  5172.
 1993 03  463·
 1993 04  6236·
 1993 05  565·
 1993 06  5447·
 1993 07  3972.
 1993 08  984.
 1993 09  5354·
 1993 10  5448·
 1993 11  6633.
 1993 12  1465·
 1994 01 1975.
 1994 02 54102·
 1994 03 1981.
 1994 04 3937·
 1994 05 9741·
 1994 06 7850·
 1994 07 5249·
 1994 08 7468·
 1994 09 644·
 1994 10 7651.
 1994 11 4943.
 1994 12 3044.
 1995 01  9163·
 1995 02  2561.
 1995 03  1545.
 1995 04  4552·
 1995 05  2151·
 1995 06  2357.
 1995 07  8272.
 1995 08  8394·
 1995 09  9055·
 1995 10  9756·
 1995 11  752.
 1995 12  3264.
 1996 01 1766.
 1996 02 9867·
 1996 03 7253.
 1996 04 351.
 1996 05 4638.
 1996 06 045.
 1996 07 8365·
 1996 08 3647.
 1996 09 4655·
 1996 10 429.
 1996 11 7151·
 1996 12 9242.
 1997 01  1260·
 1997 02  3560.
 1997 03  9469.
 1997 04  6043·
 1997 05  6346·
 1997 06  4338.
 1997 07  3359.
 1997 08  5350·
 1997 09  4257.
 1997 10  528.
 1997 11  9566.
 1997 12  951·
 1998 01 1948·
 1998 02 2042.
 1998 03 1162·
 1998 04 9039.
 1998 05 8841·
 1998 06 1522.
 1998 07 3836.
 1998 08 8563.
 1998 09 6834.
 1998 10 3818.
 1998 11 5735·
 1998 12 638.
 1999 01  472.
 1999 02  6682·
 1999 03  7674.
 1999 04  9137.
 1999 05  6436.
 1999 06  9947·
 1999 07  2646.
 1999 08  365·
 1999 09  4238·
 1999 10  6237·
 1999 11  6351·
 1999 12  3048·
 2000 01 5980.
 2000 02 661·
 2000 03 7074.
 2000 04 8546·
 2000 05 5725·
 2000 06 748.
 2000 07 5250.
 2000 08 666·
 2000 09 655·
 2000 10 6438.
 2000 11 4157.
 2000 12 5559.
 2001 01  040·
 2001 02  284.
 2001 03  9552·
 2001 04  2139·
 2001 05  5957·
 2001 06  7440·
 2001 07  9556.
 2001 08  1765.
 2001 09  2677.
 2001 10  5367.
 2001 11  4762·


 2001 12  7984·
 2002 01 71108·
 2002 02 40105.
 2002 03 82101.
 2002 04 7260·
 2002 05 8748·
 2002 06 6074.
 2002 07 5996·
 2002 08 8389·
 2002 09 9473.
 2002 10 6577.
 2002 11 5893·
 2002 12 2575.
 2003 01  3690·
 2003 02  29115.
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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 7-10 weeks 55-64 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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