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 Series Title: Population Level: Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4718322·
 2012 03 3418278·
 2012 02 7118236.
 2012 01 5618193.
 2011 12  817989·
 2011 11  5217949.
 2011 10  1017905.
 2011 09  3917860.
 2011 08  7317815.
 2011 07  617770.
 2011 06  8817728.
 2011 05  5917686·
 2011 04  9217645·
 2011 03  7717604.
 2011 02  1717563.
 2011 01  5917522.
 2010 12 4117610·
 2010 11 7317565.
 2010 10 3617519.
 2010 09 817473.
 2010 08 1917424.
 2010 07 2417378·
 2010 06 617333.
 2010 05 117288·
 2010 04 5417245.
 2010 03 8917201.
 2010 02 1617159.
 2010 01 5717115.
 2009 12  9317154.
 2009 11  4717108·
 2009 10  7917061.
 2009 09  2017013.
 2009 08  1416964.
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 2009 03  9816737.
 2009 02  4116692.
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 1998 01 8510566.
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 1996 09 79666.
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 1996 01 139470·
 1995 12  469453·
 1995 11  589431.
 1995 10  689410·
 1995 09  239387.
 1995 08  559363.
 1995 07  489340.
 1995 06  489317.
 1995 05  889293·
 1995 04  369271.
 1995 03  749247.
 1995 02  999227.
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 1994 12 669232.
 1994 11 439210·
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 1994 08 449140.
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 1994 02 768998·
 1994 01 558975.
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 1988 11 356691·
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 1988 09 706652.
 1988 08 676633.
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 1988 04 966556.
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 1988 01 06497.
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 1987 11  376461.
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 1987 09  116421.
 1987 08  06400.
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 1986 11 176188·
 1986 10 186170.
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 1986 01 376005·
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 1985 11  525968.
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 1985 09  955931.
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 1985 03  15821.
 1985 02  375802.
 1985 01  695784.
 1984 12 905765.
 1984 11 485746.
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 1984 09 975708.
 1984 08 135690.
 1984 07 445671.
 1984 06 515652.
 1984 05 375633.
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 1984 03 955595·
 1984 02 715576·
 1984 01 585557·
 1983 12  425537.
 1983 11  345518.
 1983 10  735499.
 1983 09  535480·
 1983 08  745461·
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 1983 04  425384.
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 1983 02  55346·
 1983 01  705327·
 1982 12 245308.
 1982 11 635289.
 1982 10 855270.
 1982 09 55251·
 1982 08 185232.
 1982 07 675213·
 1982 06 495194·
 1982 05 415174·
 1982 04 505155.
 1982 03 915136·
 1982 02 875117.
 1982 01 985097.
 1981 12  715078.
 1981 11  165058·
 1981 10  105039·
 1981 09  195019.
 1981 08  565000.
 1981 07  514981.
 1981 06  574961.
 1981 05  754942.
 1981 04  54922.
 1981 03  264897.
 1981 02  904872.
 1981 01  584848.
 1980 12 444823.
 1980 11 974798·
 1980 10 984773·
 1980 09 884748·
 1980 08 244723·
 1980 07 474698.
 1980 06 924673.
 1980 05 104648·
 1980 04 194623·
 1980 03 824605.
 1980 02 124586.
 1980 01 924567·
 1979 12  293975.
 1979 11  353888·
 1979 10  203934.
 1979 09  283976.
 1979 08  814036·
 1979 07  603970·
 1979 06  43999·
 1979 05  383958.
 1979 04  253943·
 1979 03  413891.
 1979 02  773749.
 1979 01  663689.
 1978 12 363654.
 1978 11 833690.
 1978 10 763814·
 1978 09 813856.
 1978 08 153910·
 1978 07 193855.
 1978 06 653846.
 1978 05 773794·
 1978 04 863738·
 1978 03 53703.
 1978 02 313632.
 1978 01 733542·
 1977 12  13482.
 1977 11  233529·
 1977 10  883611.
 1977 09  143653·
 1977 08  343708.
 1977 07  783650·
 1977 06  733555.
 1977 05  683440·
 1977 04  863331·
 1977 03  43316.
 1977 02  493313·
 1977 01  303326.
 1976 12 833422.
 1976 11 573399.
 1976 10 53401.
 1976 09 183404.
 1976 08 753444.
 1976 07 173275·
 1976 06 523277.
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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: Population Level: Hispanic or Latino Men: NSA
   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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