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 Series Title: Number Unemployed for 5-6 weeks 25-34 yrs. 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  4856·
 2003 01  4071·
 2002 12 48120·
 2002 11 5566.
 2002 10 7137.
 2002 09 423.
 2002 08 6833·
 2002 07 436·
 2002 06 3548.
 2002 05 4233.
 2002 04 6446·
 2002 03 2758·
 2002 02 9271·
 2002 01 3654.
 2001 12  50102.
 2001 11  6747.
 2001 10  1541·
 2001 09  9129.
 2001 08  6124·
 2001 07  9551.
 2001 06  647.
 2001 05  3940.
 2001 04  6351·
 2001 03  344.
 2001 02  9045·
 2001 01  3775·
 2000 12 4265.
 2000 11 1246.
 2000 10 1722·
 2000 09 6748.
 2000 08 1132·
 2000 07 6538·
 2000 06 6344.
 2000 05 3624.
 2000 04 941·
 2000 03 3128.
 2000 02 2897·
 2000 01 7447.
 1999 12  9736·
 1999 11  632·
 1999 10  3731·
 1999 09  3922·
 1999 08  6531.
 1999 07  739·
 1999 06  4245.
 1999 05  1229·
 1999 04  2537·
 1999 03  7847.
 1999 02  1657·
 1999 01  056·
 1998 12 1454·
 1998 11 9040.
 1998 10 6168.
 1998 09 3431·
 1998 08 9653·
 1998 07 3747.
 1998 06 231·
 1998 05 7217.
 1998 04 5917.
 1998 03 3656·
 1998 02 9082·
 1998 01 9531·
 1997 12  1593·
 1997 11  3350·
 1997 10  9941·
 1997 09  924·
 1997 08  350.
 1997 07  9715.
 1997 06  3136.
 1997 05  4531.
 1997 04  8518.
 1997 03  2165·
 1997 02  1048.
 1997 01  6244·
 1996 12 4974.
 1996 11 2668·
 1996 10 8760·
 1996 09 4018·
 1996 08 829.
 1996 07 5454.
 1996 06 3849·
 1996 05 8644.
 1996 04 059.
 1996 03 7665·
 1996 02 62114·
 1996 01 3263·
 1995 12  8885·
 1995 11  8548.
 1995 10  8565.
 1995 09  3434·
 1995 08  5943.
 1995 07  045.
 1995 06  5866·
 1995 05  7445·
 1995 04  2728.
 1995 03  6671.
 1995 02  56113·
 1995 01  5848.
 1994 12 30109.
 1994 11 5262.
 1994 10 7960·
 1994 09 1932.
 1994 08 3066·
 1994 07 5252.
 1994 06 5345·
 1994 05 1363.
 1994 04 1646.
 1994 03 8446.
 1994 02 28128·
 1994 01 2171·
 1993 12  9992·
 1993 11  94104·
 1993 10  80117·
 1993 09  5079·
 1993 08  19119·
 1993 07  5194·
 1993 06  893·
 1993 05  3293.
 1993 04  3770·
 1993 03  47113·
 1993 02  39152.
 1993 01  2391·
 1992 12 43117·
 1992 11 4128·
 1992 10 2298·
 1992 09 5138.
 1992 08 4884·
 1992 07 64134.
 1992 06 3475.
 1992 05 85104·
 1992 04 9196·
 1992 03 9686.
 1992 02 74180.
 1992 01 94132.
 1991 12  34151.
 1991 11  96127.
 1991 10  67108.
 1991 09  9067.
 1991 08  6674.
 1991 07  8398·
 1991 06  65112·
 1991 05  5373·
 1991 04  99120·
 1991 03  99135·
 1991 02  43150.
 1991 01  90125.
 1990 12 71140.
 1990 11 15105.
 1990 10 078·
 1990 09 3376·
 1990 08 4593.
 1990 07 24105·
 1990 06 6363.
 1990 05 39106·
 1990 04 9113.
 1990 03 4676.
 1990 02 82109·
 1990 01 88118.
 1989 12  7681.
 1989 11  2574·
 1989 10  3281.
 1989 09  8981·
 1989 08  8469.
 1989 07  3068.
 1989 06  1476.
 1989 05  7277·
 1989 04  96125.
 1989 03  5677·
 1989 02  52112.
 1989 01  94105.
 1988 12 99116.
 1988 11 20121.
 1988 10 9897·
 1988 09 3777.
 1988 08 692.
 1988 07 6890·
 1988 06 2756·
 1988 05 764.
 1988 04 5689.
 1988 03 6889·
 1988 02 38134·
 1988 01 36147.
 1987 12  11106·
 1987 11  16112·
 1987 10  5992.
 1987 09  8162·
 1987 08  5990.
 1987 07  2970.
 1987 06  38102·
 1987 05  2364·
 1987 04  1395·
 1987 03  52107·
 1987 02  51134·
 1987 01  70136.
 1986 12 11128.
 1986 11 54117.
 1986 10 99102.
 1986 09 5171·
 1986 08 16103·
 1986 07 29110·
 1986 06 892.
 1986 05 2596·
 1986 04 15104·
 1986 03 97104.
 1986 02 26146.
 1986 01 73109·
 1985 12  22124·
 1985 11  173.
 1985 10  3189.
 1985 09  195·
 1985 08  75101.
 1985 07  12115.
 1985 06  2286.
 1985 05  4296.
 1985 04  3597.
 1985 03  2192.
 1985 02  24120.
 1985 01  51139·
 1984 12 92117·
 1984 11 50118·
 1984 10 8968.
 1984 09 1189·
 1984 08 5879.
 1984 07 42116.
 1984 06 9184.
 1984 05 2784.
 1984 04 7175·
 1984 03 6794·
 1984 02 31166·
 1984 01 33141.
 1983 12  94125.
 1983 11  17107·
 1983 10  3495·
 1983 09  8399.
 1983 08  1591.
 1983 07  1499·
 1983 06  5097.
 1983 05  61101.
 1983 04  47110·
 1983 03  99127.
 1983 02  56195·
 1983 01  72178·
 1982 12 26162·
 1982 11 44158.
 1982 10 51162·
 1982 09 49132.
 1982 08 18115.
 1982 07 42195·
 1982 06 61109·
 1982 05 4887.
 1982 04 9107.
 1982 03 12120·
 1982 02 36152·
 1982 01 50167.
 1981 12  12162·
 1981 11  98131·
 1981 10  51103.
 1981 09  6267·
 1981 08  6595.
 1981 07  6967·
 1981 06  869·
 1981 05  1652·
 1981 04  3176·
 1981 03  20104·
 1981 02  31119.
 1981 01  68105·
 1980 12 98125·
 1980 11 6974·
 1980 10 7076.
 1980 09 192.
 1980 08 7976·
 1980 07 62133·
 1980 06 293·
 1980 05 2088·
 1980 04 1179.
 1980 03 6693·
 1980 02 2696·
 1980 01 5886.
 1979 12  5977·
 1979 11  7780·
 1979 10  6842.
 1979 09  7148.
 1979 08  875.
 1979 07  1280.
 1979 06  7857·
 1979 05  4158·
 1979 04  7348.
 1979 03  1769.
 1979 02  32101·
 1979 01  7375·
 1978 12 9180·
 1978 11 6156.
 1978 10 3141.
 1978 09 153·
 1978 08 2675·
 1978 07 3745.
 1978 06 9839.
 1978 05 8049.
 1978 04 6457.
 1978 03 6556.
 1978 02 8648·
 1978 01 9397.
 1977 12  1962.
 1977 11  8970·
 1977 10  6879.
 1977 09  4651·
 1977 08  3088·
 1977 07  7884.
 1977 06  4765.
 1977 05  6972·
 1977 04  5753·
 1977 03  2666·
 1977 02  46105·
 1977 01  22133·
 1976 12 9172.
 1976 11 5263.
 1976 10 1771.
 1976 09 8479·
 1976 08 4369·
 1976 07 162.
 1976 06 3469·
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Similar Series

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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.
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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 5-6 weeks 25-34 yrs. 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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