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 Series Title: Population Level: Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4718224.
 2012 03 9418185·
 2012 02 6718148·
 2012 01 6318109.
 2011 12  216896·
 2011 11  616859.
 2011 10  016820·
 2011 09  4016780·
 2011 08  6016740.
 2011 07  5316700·
 2011 06  7216662.
 2011 05  5416625·
 2011 04  7316588.
 2011 03  1916552.
 2011 02  9516516·
 2011 01  4716479.
 2010 12 1516577.
 2010 11 816537.
 2010 10 716495·
 2010 09 9116454.
 2010 08 8816411·
 2010 07 5416369·
 2010 06 7116330.
 2010 05 7716290.
 2010 04 1616253.
 2010 03 1216213.
 2010 02 7516176.
 2010 01 2716136.
 2009 12  4916225·
 2009 11  6416184·
 2009 10  3216141·
 2009 09  8316097.
 2009 08  6416053.
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 2009 05  1615928.
 2009 04  6015889·
 2009 03  215849·
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 2008 12 6415857·
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 1998 11 7610472.
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 1998 08 5210379.
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 1998 01 3010176·
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 1996 02 409485.
 1996 01 219459·
 1995 12  399437·
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 1995 10  589390.
 1995 09  259365·
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 1995 07  969313·
 1995 06  329287.
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 1995 04  179237·
 1995 03  159210.
 1995 02  779187·
 1995 01  419163·
 1994 12 409152.
 1994 11 789129.
 1994 10 309104.
 1994 09 679080.
 1994 08 139053·
 1994 07 169027·
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 1994 04 598949.
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 1992 12 698545.
 1992 11 808520·
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 1992 05 158369.
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 1989 03  866897.
 1989 02  796876.
 1989 01  636855.
 1988 12 66823.
 1988 11 586804.
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 1988 09 406767.
 1988 08 236749.
 1988 07 496731.
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 1988 05 486694.
 1988 04 466675·
 1988 03 676656.
 1988 02 756637.
 1988 01 576618·
 1987 12  756601·
 1987 11  426582·
 1987 10  226563.
 1987 09  626544.
 1987 08  376525.
 1987 07  316506.
 1987 06  366487.
 1987 05  816468.
 1987 04  816449.
 1987 03  156430·
 1987 02  296411·
 1987 01  586391.
 1986 12 826333.
 1986 11 26316.
 1986 10 396299.
 1986 09 636281.
 1986 08 426264·
 1986 07 236247.
 1986 06 306230·
 1986 05 896212·
 1986 04 856195.
 1986 03 356178.
 1986 02 886161.
 1986 01 566143.
 1985 12  636125.
 1985 11  196107·
 1985 10  286090·
 1985 09  96073.
 1985 08  496055.
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 1985 05  156003.
 1985 04  455986.
 1985 03  555968·
 1985 02  275950·
 1985 01  705933·
 1984 12 775915·
 1984 11 965897·
 1984 10 375879.
 1984 09 925861.
 1984 08 935843·
 1984 07 865825.
 1984 06 295808·
 1984 05 265790.
 1984 04 715772·
 1984 03 315754·
 1984 02 425735.
 1984 01 405717·
 1983 12  105698.
 1983 11  635680.
 1983 10  385662.
 1983 09  295643.
 1983 08  365625.
 1983 07  395607.
 1983 06  65588·
 1983 05  135570·
 1983 04  985551.
 1983 03  405533.
 1983 02  575515.
 1983 01  345497.
 1982 12 735478.
 1982 11 745460·
 1982 10 315442.
 1982 09 625423.
 1982 08 615405·
 1982 07 715387·
 1982 06 895368.
 1982 05 925350·
 1982 04 875332·
 1982 03 895313·
 1982 02 215294·
 1982 01 435275.
 1981 12  25256.
 1981 11  85237.
 1981 10  385218·
 1981 09  585200·
 1981 08  815181·
 1981 07  365162·
 1981 06  785143.
 1981 05  75124.
 1981 04  245105.
 1981 03  55084·
 1981 02  55064·
 1981 01  845043.
 1980 12 565022.
 1980 11 705001.
 1980 10 64980.
 1980 09 84960.
 1980 08 294939·
 1980 07 144918·
 1980 06 954897.
 1980 05 234876.
 1980 04 184856·
 1980 03 434837·
 1980 02 94819.
 1980 01 994801·
 1979 12  234307.
 1979 11  894283.
 1979 10  104389·
 1979 09  294331.
 1979 08  684401.
 1979 07  84358.
 1979 06  884340·
 1979 05  334344.
 1979 04  64306·
 1979 03  834217.
 1979 02  544148·
 1979 01  554071.
 1978 12 114098.
 1978 11 194063.
 1978 10 484117.
 1978 09 634194.
 1978 08 834244·
 1978 07 484287·
 1978 06 304236.
 1978 05 534183.
 1978 04 484186.
 1978 03 284144.
 1978 02 904112·
 1978 01 434049·
 1977 12  563955.
 1977 11  394007·
 1977 10  414052.
 1977 09  774006·
 1977 08  844043.
 1977 07  893941·
 1977 06  203922.
 1977 05  253803.
 1977 04  303755.
 1977 03  83750·
 1977 02  903797.
 1977 01  813805·
 1976 12 203916.
 1976 11 553938.
 1976 10 383977·
 1976 09 633857.
 1976 08 63800.
 1976 07 93722.
 1976 06 793724·
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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 Women: 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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