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 Series Title: Population Level: Hispanic or Latino: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 736546.
 2012 03 2036463·
 2012 02 8536384.
 2012 01 2436301·
 2011 12  8334885.
 2011 11  934808·
 2011 10  5134724.
 2011 09  9134640.
 2011 08  8734555·
 2011 07  5834470·
 2011 06  8134391.
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 2011 04  7134233·
 2011 03  5034155.
 2011 02  8734079.
 2011 01  5234001·
 2010 12 934188·
 2010 11 9234102.
 2010 10 734014·
 2010 09 6033927.
 2010 08 233836.
 2010 07 1433747·
 2010 06 533662.
 2010 05 3633578.
 2010 04 7533498·
 2010 03 7433414.
 2010 02 6733335.
 2010 01 033251·
 2009 12  8033379.
 2009 11  5333291·
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 2009 09  9633110.
 2009 08  9033017.
 2009 07  5832926.
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 2009 05  9232753·
 2009 04  732671.
 2009 03  2032585.
 2009 02  9832501.
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 2008 12 5632649.
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 2008 10 9932465.
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 2000 12 8824390.
 2000 11 7424285.
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 1998 02 220798.
 1998 01 7320741.
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 1996 11 2919454.
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 1996 08 3619292.
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 1996 03 319025·
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 1996 01 7618929·
 1995 12  1418889.
 1995 11  918845·
 1995 10  218800.
 1995 09  6918752.
 1995 08  6218702.
 1995 07  9418653.
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 1995 05  4218554.
 1995 04  818509.
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 1995 02  6318413.
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 1994 12 2718385.
 1994 11 5618339.
 1994 10 2418291.
 1994 09 3018244.
 1994 08 2018193.
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 1994 03 4117942.
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 1994 01 9117849.
 1993 12  5417800·
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 1993 02  9817315.
 1993 01  4917269.
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 1992 11 9417176·
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 1992 05 2916887.
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 1992 02 9316747.
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 1989 11  5313977.
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 1989 04  5913690.
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 1989 02  3813606.
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 1988 12 9113533.
 1988 11 4513495.
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 1988 03 3313192·
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 1988 01 5913115·
 1987 12  4713082.
 1987 11  8513043.
 1987 10  6413003·
 1987 09  5312965.
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 1987 01  312653.
 1986 12 6612540.
 1986 11 2712505·
 1986 10 3012469·
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 1986 06 5412326·
 1986 05 8812290.
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 1986 03 3812219·
 1986 02 7112184·
 1986 01 7012148.
 1985 12  8412111·
 1985 11  4912075.
 1985 10  9412040·
 1985 09  6212004·
 1985 08  6611969.
 1985 07  6411933·
 1985 06  6011897·
 1985 05  3311862.
 1985 04  8311826·
 1985 03  1411789·
 1985 02  3411753·
 1985 01  7711716.
 1984 12 6011679.
 1984 11 5711643·
 1984 10 211606·
 1984 09 1311570·
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 1984 07 7411496·
 1984 06 7811460.
 1984 05 8711423.
 1984 04 2111386.
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 1984 02 9911311.
 1984 01 6511274·
 1983 12  8011236·
 1983 11  8011198.
 1983 10  2811161·
 1983 09  4411123.
 1983 08  5211086.
 1983 07  5811048.
 1983 06  5411010·
 1983 05  4210973.
 1983 04  8510935.
 1983 03  8610898·
 1983 02  8910860·
 1983 01  210823.
 1982 12 5610786·
 1982 11 7210748·
 1982 10 7110711·
 1982 09 9510674·
 1982 08 6410636.
 1982 07 4610599.
 1982 06 6210562·
 1982 05 1510524.
 1982 04 3610487·
 1982 03 6510449·
 1982 02 5210410.
 1982 01 8010372·
 1981 12  2110334.
 1981 11  1210296.
 1981 10  5210257.
 1981 09  3410219.
 1981 08  9610181.
 1981 07  9210142·
 1981 06  110104.
 1981 05  4810066.
 1981 04  5910027·
 1981 03  379982.
 1981 02  619936.
 1981 01  149890.
 1980 12 389845.
 1980 11 49799·
 1980 10 209753·
 1980 09 539707·
 1980 08 829662·
 1980 07 759616·
 1980 06 929570·
 1980 05 89525.
 1980 04 669479.
 1980 03 569442·
 1980 02 149405·
 1980 01 489368·
 1979 12  918282.
 1979 11  798172.
 1979 10  498322·
 1979 09  678307·
 1979 08  838435.
 1979 07  08329·
 1979 06  858339.
 1979 05  868302.
 1979 04  918249·
 1979 03  28109.
 1979 02  347896·
 1979 01  477761·
 1978 12 917753·
 1978 11 907753·
 1978 10 367930.
 1978 09 208050.
 1978 08 848153.
 1978 07 968142.
 1978 06 518082.
 1978 05 997977·
 1978 04 957925.
 1978 03 787847·
 1978 02 707742·
 1978 01 47591·
 1977 12  747437.
 1977 11  167536.
 1977 10  47663·
 1977 09  777660·
 1977 08  977751.
 1977 07  187591.
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 1977 05  907243.
 1977 04  647086.
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 1977 02  947110.
 1977 01  347131·
 1976 12 07339·
 1976 11 627338·
 1976 10 17377.
 1976 09 317261.
 1976 08 577243.
 1976 07 446995·
 1976 06 257002.
 1976 05 246818.
 1976 04 86852·
 1976 03 656780·
 1976 02 46773·
 1976 01 816819.
 1975 12  556884.
 1975 11  587083·
 1975 10  07051·
 1975 09  986985.
 1975 08  236863.
 1975 07  796808·
 1975 06  26768·
 1975 05  946813.
 1975 04  636816.
 1975 03  96828.
 1975 02  236756·
 1975 01  116701·
 1974 12 496839·
 1974 11 566801·
 1974 10 06823·
 1974 09 216752.
 1974 08 826728.
 1974 07 526486·
 1974 06 976611.
 1974 05 166568·
 1974 04 896429·
 1974 03 516687·
 1974 02 06118·
 1974 01 166004.
 1973 12  186004.
 1973 11  386032·
 1973 10  245997.
 1973 09  656075.
 1973 08  456205.
 1973 07  176029·
 1973 06  56068.
 1973 05  326176.
 1973 04  716152·
 1973 03  216340.
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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: 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

Make charts for Okun's Law and Phillip's Curve

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