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 Series Title: Unemployment Level: 20 years and over, White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 264364·
 2012 03 944360.
 2012 02 04397.
 2012 01 54436·
 2011 12  914623.
 2011 11  444761·
 2011 10  505123·
 2011 09  274998.
 2011 08  734984·
 2011 07  435142.
 2011 06  515231.
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 2011 04  215175.
 2011 03  715057.
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 2011 01  615138.
 2010 12 115525.
 2010 11 375968.
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 2001 02  531997.
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 1998 12 831921.
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 1998 01 131960.
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 1996 11 952319.
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 1996 09 642270.
 1996 08 562203.
 1996 07 732360.
 1996 06 182371.
 1996 05 102478.
 1996 04 362464·
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 1996 01 102434.
 1995 12  262445·
 1995 11  972561.
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 1995 01  22507·
 1994 12 332438.
 1994 11 542465.
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 1994 02 522998.
 1994 01 702977.
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 1991 12  293461.
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 1988 12 982249.
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 1987 12  602311.
 1987 11  02372.
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 1980 01 352096.
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 1977 11  642005.
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 1970 12 131805.
 1970 11 241715.
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 1970 09 831542.
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 1970 01 0999.
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 1967 02  43824·
 1967 01  81862.
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 1965 05  161264.
 1965 04  791305·
 1965 03  961247.
 1965 02  771286·
 1965 01  391265·
 1964 12 531258·
 1964 11 231241·
 1964 10 861444·
 1964 09 411368·
 1964 08 991316.
 1964 07 601320·
 1964 06 131430.
 1964 05 651328.
 1964 04 921387.
 1964 03 131453.
 1964 02 961439.
 1964 01 811490.
 1963 12  311535·
 1963 11  141541.
 1963 10  991488.
 1963 09  821389.
 1963 08  441496·
 1963 07  211527·
 1963 06  81516·
 1963 05  881560·
 1963 04  791618·
 1963 03  131633.
 1963 02  381705·
 1963 01  441664.
 1962 12 131601.
 1962 11 991658.
 1962 10 261563.
 1962 09 171578·
 1962 08 451625·
 1962 07 91547.
 1962 06 341574.
 1962 05 31570.
 1962 04 21556·
 1962 03 01561.
 1962 02 521539·
 1962 01 211611.
 1961 12  331719.
 1961 11  551784·
 1961 10  911865·
 1961 09  141928.
 1961 08  141997.
 1961 07  792127·
 1961 06  892076.
 1961 05  512252.
 1961 04  462142.
 1961 03  42078·
 1961 02  102075·
 1961 01  282058.
 1960 12 532019.
 1960 11 871900·
 1960 10 411865·
 1960 09 631775.
 1960 08 861708.
 1960 07 91636.
 1960 06 951575·
 1960 05 991513·
 1960 04 211532·
 1960 03 781547·
 1960 02 101390.
 1960 01 81518.
 1959 12  571477·
 1959 11  241833.
 1959 10  501621.
 1959 09  811674·
 1959 08  211425.
 1959 07  51411·
 1959 06  11415·
 1959 05  401417.
 1959 04  631451.
 1959 03  11611·
 1959 02  771756·
 1959 01  271807·
 1958 12 571890.
 1958 11 211930·
 1958 10 152135.
 1958 09 112278·
 1958 08 52463.
 1958 07 952459·
 1958 06 792423.
 1958 05 882373.
 1958 04 322339·
 1958 03 792112·
 1958 02 571969·
 1958 01 761775·
 1957 12  891635·
 1957 11  571518·
 1957 10  601376.
 1957 09  201333.
 1957 08  491187.
 1957 07  331173·
 1957 06  281191·
 1957 05  871137.
 1957 04  151146.
 1957 03  411016·
 1957 02  231128.
 1957 01  741148·
 1956 12 111209·
 1956 11 361166.
 1956 10 331064·
 1956 09 981128.
 1956 08 881066·
 1956 07 01146·
 1956 06 711159.
 1956 05 41192.
 1956 04 211135.
 1956 03 401160.
 1956 02 751147·
 1956 01 611133.
 1955 12  111137.
 1955 11  881149.
 1955 10  71124.
 1955 09  631077·
 1955 08  831109.
 1955 07  991151.
 1955 06  561174.
 1955 05  291211.
 1955 04  871481·
 1955 03  571313.
 1955 02  341342.
 1955 01  41447.
 1954 12 991443·
 1954 11 661556.
 1954 10 791780.
 1954 09 572074·
 1954 08 181921·
 1954 07 601741·
 1954 06 551684.
 1954 05 811744.
 1954 04 721793·
 1954 03 941539.
 1954 02 491459·
 1954 01 961369.
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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: Unemployment Level: 20 years and over, White Men: SA
   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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