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 Series Title: Civilian Labor Force Level: 60-64 years, 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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 1976 06 6933.
 1976 07 2725.
 1976 08 6433.
 1976 09 5934·
 1976 10 1341.
 1976 11 2938·
 1976 12 1439·
 1977 01  541.
 1977 02  1637.
 1977 03  2329.
 1977 04  5929·
 1977 05  4330.
 1977 06  3031·
 1977 07  9127.
 1977 08  1128.
 1977 09  1830·
 1977 10  3040·
 1977 11  4036·
 1977 12  937·
 1978 01 9835·
 1978 02 1638·
 1978 03 130.
 1978 04 1534·
 1978 05 7832.
 1978 06 1432·
 1978 07 3040.
 1978 08 1731.
 1978 09 7745·
 1978 10 7444·
 1978 11 1039·
 1978 12 2936.
 1979 01  4036.
 1979 02  7143·
 1979 03  4741.
 1979 04  8743.
 1979 05  3442.
 1979 06  637.
 1979 07  7342·
 1979 08  5546·
 1979 09  5548·
 1979 10  552·
 1979 11  4449·
 1979 12  2153·
 1980 01 2255·
 1980 02 1758·
 1980 03 4257.
 1980 04 9851·
 1980 05 7854.
 1980 06 1846.
 1980 07 7444·
 1980 08 2343·
 1980 09 9346.
 1980 10 847.
 1980 11 7144·
 1980 12 6042.
 1981 01  6141.
 1981 02  1341.
 1981 03  8947.
 1981 04  9654·
 1981 05  156·
 1981 06  8347.
 1981 07  1258.
 1981 08  4555·
 1981 09  5753·
 1981 10  9455·
 1981 11  4456·
 1981 12  4352·
 1982 01 9950.
 1982 02 4649.
 1982 03 1950·
 1982 04 5463·
 1982 05 2071.
 1982 06 6457·
 1982 07 9262·
 1982 08 6756.
 1982 09 4059.
 1982 10 9964.
 1982 11 4458.
 1982 12 9361.
 1983 01  367·
 1983 02  2667.
 1983 03  8469.
 1983 04  7175·
 1983 05  7873·
 1983 06  4578·
 1983 07  4274·
 1983 08  6371·
 1983 09  5883.
 1983 10  8382·
 1983 11  7582·
 1983 12  5868.
 1984 01 6467·
 1984 02 8973·
 1984 03 6579·
 1984 04 6888.
 1984 05 3997.
 1984 06 3895.
 1984 07 1892·
 1984 08 3286.
 1984 09 5386·
 1984 10 3173·
 1984 11 6662.
 1984 12 1257·
 1985 01  060·
 1985 02  9460.
 1985 03  6661.
 1985 04  9565·
 1985 05  9880·
 1985 06  7770·
 1985 07  9957.
 1985 08  9676.
 1985 09  9276·
 1985 10  5576·
 1985 11  7285·
 1985 12  5183·
 1986 01 5175.
 1986 02 2964·
 1986 03 1644.
 1986 04 2549·
 1986 05 7056·
 1986 06 2357.
 1986 07 8877·
 1986 08 380.
 1986 09 6759·
 1986 10 8965.
 1986 11 7162·
 1986 12 164·
 1987 01  8658.
 1987 02  261.
 1987 03  6969.
 1987 04  5462·
 1987 05  9769.
 1987 06  6270.
 1987 07  1678·
 1987 08  2778.
 1987 09  9468.
 1987 10  9568.
 1987 11  68100·
 1987 12  7100·
 1988 01 95110·
 1988 02 51101·
 1988 03 589.
 1988 04 793·
 1988 05 46111·
 1988 06 5105.
 1988 07 3699.
 1988 08 6595·
 1988 09 15108·
 1988 10 57134.
 1988 11 92135·
 1988 12 44118.
 1989 01  96117.
 1989 02  34101.
 1989 03  2886.
 1989 04  3289·
 1989 05  989.
 1989 06  8692.
 1989 07  2889.
 1989 08  4194·
 1989 09  9787.
 1989 10  8796.
 1989 11  9789·
 1989 12  1098·
 1990 01 30107·
 1990 02 39108·
 1990 03 68114.
 1990 04 193.
 1990 05 294.
 1990 06 6683·
 1990 07 9679·
 1990 08 274·
 1990 09 3289·
 1990 10 2089.
 1990 11 6485·
 1990 12 27102·
 1991 01  64103.
 1991 02  7591·
 1991 03  78103·
 1991 04  12102·
 1991 05  6897·
 1991 06  32100.
 1991 07  69107·
 1991 08  22116·
 1991 09  37112.
 1991 10  16119·
 1991 11  95105·
 1991 12  43116.
 1992 01 90105·
 1992 02 7892.
 1992 03 3797.
 1992 04 9094·
 1992 05 73100.
 1992 06 93117·
 1992 07 2116·
 1992 08 98101.
 1992 09 53107.
 1992 10 61106·
 1992 11 2193.
 1992 12 3375·
 1993 01  2566·
 1993 02  987·
 1993 03  5192.
 1993 04  8079.
 1993 05  8101·
 1993 06  85118·
 1993 07  74115.
 1993 08  54118.
 1993 09  47128·
 1993 10  66127.
 1993 11  96103·
 1993 12  93111·
 2000 01 10113.
 2000 02 52111·
 2000 03 49126.
 2000 04 58115.
 2000 05 92113.
 2000 06 69128·
 2000 07 89121.
 2000 08 38139.
 2000 09 11139·
 2000 10 66111.
 2000 11 99124·
 2000 12 46110.
 2001 01  13120·
 2001 02  19168·
 2001 03  84151.
 2001 04  20157·
 2001 05  65121·
 2001 06  29104·
 2001 07  77125.
 2001 08  23134.
 2001 09  62126.
 2001 10  21143.
 2001 11  34156.
 2001 12  42156·
 2002 01 24169·
 2002 02 46159·
 2002 03 36166.
 2002 04 90163.
 2002 05 94167·
 2002 06 78141.
 2002 07 91142.
 2002 08 6144.
 2002 09 42149.
 2002 10 18177·
 2002 11 30186·
 2002 12 52158.
 2003 01  61186·
 2003 02  92158·
 2003 03  10166·
 2003 04  16148.
 2003 05  72172·
 2003 06  50158.
 2003 07  12160.
 2003 08  11179·
 2003 09  17182.
 2003 10  67183.
 2003 11  43173.
 2003 12  75163.
 2004 01 66159.
 2004 02 43154·
 2004 03 34166·
 2004 04 71162·
 2004 05 14166.
 2004 06 5170.
 2004 07 43188.
 2004 08 86172·
 2004 09 79196.
 2004 10 2188.
 2004 11 51197.
 2004 12 34198.
 2005 01  6204·
 2005 02  10216.
 2005 03  64191.
 2005 04  53216.
 2005 05  63190·
 2005 06  30168.
 2005 07  14168·
 2005 08  5195·
 2005 09  45180.
 2005 10  86184·
 2005 11  58217·
 2005 12  77205·
 2006 01 72209·
 2006 02 29213.
 2006 03 77203·
 2006 04 85205.
 2006 05 86216.
 2006 06 34205.
 2006 07 79219·
 2006 08 64222.
 2006 09 57207·
 2006 10 3227.
 2006 11 94233·
 2006 12 78233.
 2007 01  80243.
 2007 02  59242·
 2007 03  79232.
 2007 04  14216.
 2007 05  74225·
 2007 06  54222·
 2007 07  17197.
 2007 08  87204·
 2007 09  82209·
 2007 10  64229.
 2007 11  13225·
 2007 12  33241·
 2008 01 74242·
 2008 02 87247·
 2008 03 99232.
 2008 04 15236·
 2008 05 44218.
 2008 06 50241.
 2008 07 33235.
 2008 08 22257.
 2008 09 11231.
 2008 10 4242.
 2008 11 94274·
 2008 12 66269·
 2009 01  19276.
 2009 02  23252.
 2009 03  91258.
 2009 04  85237.
 2009 05  38212.
 2009 06  8257·
 2009 07  55250.
 2009 08  42274·
 2009 09  61318·
 2009 10  84314·
 2009 11  43311.
 2009 12  25286·
 2010 01 8296.
 2010 02 2278·
 2010 03 35301.
 2010 04 47295·
 2010 05 22343.
 2010 06 37328.
 2010 07 39334.
 2010 08 46330·
 2010 09 74304·
 2010 10 90294·
 2010 11 87267·
 2010 12 84310·
 2011 01  57329·
 2011 02  86365.
 2011 03  34357.
 2011 04  50346.
 2011 05  90349.
 2011 06  75363.
 2011 07  64353·
 2011 08  56351.
 2011 09  17374·
 2011 10  32334·
 2011 11  81324.
 2011 12  40315.
 2012 01 8332·
 2012 02 59317.


 2012 03 19337·
 2012 04 65376·
 2012 05 56352.
 2012 06 80391.
 2012 07 33337.
 2012 08 20329·
 2012 09 81349.
 2012 10 46306.
 2012 11 5320·
 2012 12 16344·
 2013 01  27361.
 2013 02  32344·
 2013 03  42355.
 2013 04  92393·
 2013 05  64378.
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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: Civilian Labor Force Level: 60-64 years, 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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