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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs. Male: NSA (Thousands)
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 1976 06 7670·
 1976 07 9274.
 1976 08 8685.
 1976 09 1571.
 1976 10 6370.
 1976 11 1476·
 1976 12 57117.
 1977 01  994·
 1977 02  66137.
 1977 03  85111.
 1977 04  8066·
 1977 05  5152·
 1977 06  3659.
 1977 07  8548.
 1977 08  6662.
 1977 09  8665.
 1977 10  4860.
 1977 11  2382·
 1977 12  5489·
 1978 01 84104·
 1978 02 3122.
 1978 03 29120·
 1978 04 769·
 1978 05 3741·
 1978 06 2545·
 1978 07 5938·
 1978 08 1235·
 1978 09 6654.
 1978 10 6636·
 1978 11 9757.
 1978 12 8255.
 1979 01  1472·
 1979 02  178·
 1979 03  48114.
 1979 04  5658·
 1979 05  5040·
 1979 06  2952.
 1979 07  4348.
 1979 08  9651.
 1979 09  6944.
 1979 10  7758·
 1979 11  4147.
 1979 12  9075.
 1980 01 9096·
 1980 02 95109.
 1980 03 21146·
 1980 04 51117·
 1980 05 57105.
 1980 06 58127·
 1980 07 92129.
 1980 08 16135·
 1980 09 39127.
 1980 10 67124·
 1980 11 84102.
 1980 12 4970·
 1981 01  30118.
 1981 02  47168·
 1981 03  54162·
 1981 04  3892·
 1981 05  5085·
 1981 06  4877.
 1981 07  8497.
 1981 08  9691·
 1981 09  42117.
 1981 10  4697·
 1981 11  80120·
 1981 12  60137.
 1982 01 75190.
 1982 02 41227·
 1982 03 74217·
 1982 04 93178.
 1982 05 45136.
 1982 06 59142.
 1982 07 23174·
 1982 08 83149.
 1982 09 69195·
 1982 10 50130.
 1982 11 9167·
 1982 12 43246.
 1983 01  92247.
 1983 02  89222.
 1983 03  37235·
 1983 04  11171·
 1983 05  84162·
 1983 06  77139·
 1983 07  40111·
 1983 08  50102·
 1983 09  3895·
 1983 10  39102.
 1983 11  75118.
 1983 12  48150·
 1984 01 73146.
 1984 02 26170.
 1984 03 22217·
 1984 04 17141.
 1984 05 34122.
 1984 06 1281·
 1984 07 8979.
 1984 08 9674.
 1984 09 9083·
 1984 10 9991·
 1984 11 792.
 1984 12 48108.
 1985 01  3499.
 1985 02  12159·
 1985 03  33188·
 1985 04  59103.
 1985 05  8788·
 1985 06  166·
 1985 07  4996.
 1985 08  4482.
 1985 09  9296·
 1985 10  4177·
 1985 11  6094.
 1985 12  40104.
 1986 01 18121·
 1986 02 33168·
 1986 03 99171·
 1986 04 9125·
 1986 05 59103·
 1986 06 2110.
 1986 07 2397·
 1986 08 41150.
 1986 09 3691·
 1986 10 9996·
 1986 11 13141·
 1986 12 47151.
 1987 01  91165·
 1987 02  99143.
 1987 03  75151.
 1987 04  66115·
 1987 05  9380.
 1987 06  371.
 1987 07  4271·
 1987 08  6196·
 1987 09  3880.
 1987 10  3590.
 1987 11  7080.
 1987 12  19114·
 1988 01 44145.
 1988 02 47126.
 1988 03 40138.
 1988 04 5384·
 1988 05 5661.
 1988 06 1351.
 1988 07 6072·
 1988 08 191·
 1988 09 4173.
 1988 10 3461·
 1988 11 6069·
 1988 12 2799.
 1989 01  9693.
 1989 02  36122.
 1989 03  98174.
 1989 04  1787.
 1989 05  3869·
 1989 06  6959.
 1989 07  5565.
 1989 08  8557·
 1989 09  1258·
 1989 10  764.
 1989 11  3887.
 1989 12  6958.
 1990 01 8799·
 1990 02 52142.
 1990 03 79147.
 1990 04 3295·
 1990 05 5761.
 1990 06 2988.
 1990 07 3388·
 1990 08 6199.
 1990 09 4195·
 1990 10 8996.
 1990 11 8491·
 1990 12 70111·
 1991 01  84133·
 1991 02  6219·
 1991 03  36248.
 1991 04  96150·
 1991 05  54112.
 1991 06  82104·
 1991 07  23105.
 1991 08  2142.
 1991 09  47150·
 1991 10  41145.
 1991 11  0121·
 1991 12  76138.
 1992 01 80183.
 1992 02 33207.
 1992 03 50238·
 1992 04 31172.
 1992 05 9790.
 1992 06 36118·
 1992 07 78102.
 1992 08 6137·
 1992 09 70106.
 1992 10 47115.
 1992 11 18137·
 1992 12 62115.
 1993 01  90132·
 1993 02  94191·
 1993 03  24206·
 1993 04  87122.
 1993 05  7886.
 1993 06  27117·
 1993 07  79133·
 1993 08  9583.
 1993 09  7788·
 1993 10  2073.
 1993 11  9070.
 1993 12  24106·
 1994 01 57164.
 1994 02 75166.
 1994 03 88205.
 1994 04 36123·
 1994 05 1277.
 1994 06 1683.
 1994 07 2980.
 1994 08 1987·
 1994 09 6157·
 1994 10 9496·
 1994 11 9677·
 1994 12 86108·
 1995 01  4895.
 1995 02  85124.
 1995 03  95165.
 1995 04  75105·
 1995 05  4277·
 1995 06  8887·
 1995 07  5880.
 1995 08  49119.
 1995 09  3758.
 1995 10  3086·
 1995 11  4164·
 1995 12  96107·
 1996 01 53152.
 1996 02 60118·
 1996 03 27142·
 1996 04 29125.
 1996 05 34108·
 1996 06 5473·
 1996 07 2072.
 1996 08 8588·
 1996 09 4988.
 1996 10 1371·
 1996 11 5477·
 1996 12 2784.
 1997 01  9193·
 1997 02  62138·
 1997 03  85189·
 1997 04  44108.
 1997 05  8135.
 1997 06  5046.
 1997 07  9554·
 1997 08  4980·
 1997 09  6268.
 1997 10  5452·
 1997 11  8940.
 1997 12  7864.
 1998 01 372·
 1998 02 75114·
 1998 03 196·
 1998 04 9599·
 1998 05 9958·
 1998 06 3647·
 1998 07 8677·
 1998 08 8853.
 1998 09 6956·
 1998 10 8973·
 1998 11 2669.
 1998 12 7059·
 1999 01  5668.
 1999 02  10111.
 1999 03  2888.
 1999 04  7959.
 1999 05  3041·
 1999 06  9741·
 1999 07  2380.
 1999 08  7851·
 1999 09  8648·
 1999 10  7863.
 1999 11  6832·
 1999 12  5352·
 2000 01 4163.
 2000 02 297.
 2000 03 4594·
 2000 04 1964.
 2000 05 4145·
 2000 06 4554.
 2000 07 6055.
 2000 08 1445.
 2000 09 5529.
 2000 10 752.
 2000 11 4657.
 2000 12 9942·
 2001 01  7699.
 2001 02  1385.
 2001 03  5797·
 2001 04  6481·
 2001 05  2479·
 2001 06  1464.
 2001 07  7746·
 2001 08  2089·
 2001 09  4253·
 2001 10  8576·
 2001 11  1286.


 2001 12  7116.
 2002 01 1121·
 2002 02 27127.
 2002 03 94131.
 2002 04 86171.
 2002 05 9493·
 2002 06 65133.
 2002 07 7881·
 2002 08 45104.
 2002 09 4188·
 2002 10 5089·
 2002 11 4775.
 2002 12 98116·
 2003 01  85130·
 2003 02  56144.

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 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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