Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Unemployment Rate: Hispanic or Latino: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1973 03  347·3
 1973 04  687·9
 1973 05  328·1
 1973 06  667·9
 1973 07  357.2
 1973 08  57·4
 1973 09  457·7
 1973 10  538·0
 1973 11  88·1
 1973 12  477.6
 1974 01 667·6
 1974 02 457·8
 1974 03 57·6
 1974 04 767.0
 1974 05 77.3
 1974 06 878.6
 1974 07 998·8
 1974 08 978.1
 1974 09 58·1
 1974 10 468·2
 1974 11 938.6
 1974 12 439·1
 1975 01  2510.7
 1975 02  1811·2
 1975 03  1012·1
 1975 04  7112.4
 1975 05  5314·3
 1975 06  2111.7
 1975 07  211.6
 1975 08  6112.1
 1975 09  312.7
 1975 10  013.0
 1975 11  4412·4
 1975 12  2112·1
 1976 01 1211.4
 1976 02 2410.7
 1976 03 3711·0
 1976 04 8211.7
 1976 05 4410.5
 1976 06 8711.1
 1976 07 511·7
 1976 08 112.4
 1976 09 8611·8
 1976 10 711·6
 1976 11 9911.7
 1976 12 5911.7
 1977 01  5111·2
 1977 02  3011.4
 1977 03  9511·2
 1977 04  649.6
 1977 05  779.9
 1977 06  2410·1
 1977 07  929.5
 1977 08  469.4
 1977 09  289.7
 1977 10  849.4
 1977 11  179·3
 1977 12  638.8
 1978 01 909·3
 1978 02 289·9
 1978 03 209·5
 1978 04 958·5
 1978 05 769·6
 1978 06 19.1
 1978 07 759·5
 1978 08 519.1
 1978 09 268·9
 1978 10 728.5
 1978 11 848.4
 1978 12 608·7
 1979 01  18·2
 1979 02  347·7
 1979 03  727.9
 1979 04  818·2
 1979 05  897·9
 1979 06  88.4
 1979 07  898.1
 1979 08  948·7
 1979 09  47.6
 1979 10  388·7
 1979 11  119.2
 1979 12  79.1
 1980 01 838.7
 1980 02 918·9
 1980 03 379.2
 1980 04 5010·4
 1980 05 8810.1
 1980 06 6410.1
 1980 07 9510·8
 1980 08 8110·8
 1980 09 911·4
 1980 10 7410·6
 1980 11 329·9
 1980 12 8210.3
 1981 01  5810·6
 1981 02  6611.3
 1981 03  2610·2
 1981 04  589·5
 1981 05  7310.0
 1981 06  910·3
 1981 07  7710.0
 1981 08  4110·0
 1981 09  169.6
 1981 10  9710·7
 1981 11  1011.2
 1981 12  8811·7
 1982 01 7611.7
 1982 02 4912.1
 1982 03 7512.2
 1982 04 8212·9
 1982 05 6513·9
 1982 06 1013.8
 1982 07 4714·2
 1982 08 2714.8
 1982 09 2114.4
 1982 10 4815·0
 1982 11 2815.2
 1982 12 5715·7
 1983 01  815.3
 1983 02  5815.5
 1983 03  4315.6
 1983 04  2714.8
 1983 05  1214.0
 1983 06  5914.3
 1983 07  4112·4
 1983 08  2013.0
 1983 09  4812.9
 1983 10  9512·1
 1983 11  9912·3
 1983 12  4111.6
 1984 01 5311.4
 1984 02 3510·4
 1984 03 1611·5
 1984 04 2311.6
 1984 05 8910·6
 1984 06 7410·3
 1984 07 1810.4
 1984 08 2310.7
 1984 09 4510·5
 1984 10 2910·8
 1984 11 5610.2
 1984 12 2110.4
 1985 01  3410·5
 1985 02  479.8
 1985 03  510·5
 1985 04  2510.4
 1985 05  9310.6
 1985 06  9410·7
 1985 07  6511.2
 1985 08  6510·4
 1985 09  8510.4
 1985 10  6711.1
 1985 11  6210·6
 1985 12  010·5
 1986 01 9910·2
 1986 02 8411·9
 1986 03 4510.7
 1986 04 1010.3
 1986 05 4610·8
 1986 06 8910.6
 1986 07 9110.7
 1986 08 210·9
 1986 09 6611.1
 1986 10 5110·4
 1986 11 09·3
 1986 12 810·5
 1987 01  2110.6
 1987 02  659.8
 1987 03  989·3
 1987 04  848·9
 1987 05  988·6
 1987 06  498·5
 1987 07  338.1
 1987 08  127.9
 1987 09  118.3
 1987 10  488·4
 1987 11  838.8
 1987 12  998·1
 1988 01 987·6
 1988 02 308·5
 1988 03 478·4
 1988 04 768·8
 1988 05 218.8
 1988 06 918·8
 1988 07 517·9
 1988 08 08.1
 1988 09 687·4
 1988 10 487.8
 1988 11 457.9
 1988 12 527.6
 1989 01  538·6
 1989 02  477.0
 1989 03  56.6
 1989 04  408·1
 1989 05  127·9
 1989 06  578.2
 1989 07  318.8
 1989 08  948·8
 1989 09  108·1
 1989 10  708·0
 1989 11  487·9
 1989 12  728·3
 1990 01 347.3
 1990 02 87·5
 1990 03 67.4
 1990 04 558·5
 1990 05 967·9
 1990 06 137.7
 1990 07 828.0
 1990 08 508·3
 1990 09 368·3
 1990 10 558·5
 1990 11 758.9
 1990 12 889.9
 1991 01  149.1
 1991 02  299.2
 1991 03  129·8
 1991 04  269·8
 1991 05  2110·0
 1991 06  5210.1
 1991 07  419·6
 1991 08  4610.5
 1991 09  6710.9
 1991 10  7010.7
 1991 11  3910·4
 1991 12  5510.2
 1992 01 9211.0
 1992 02 5111.3
 1992 03 711.2
 1992 04 8311.0
 1992 05 5811.7
 1992 06 9112·1
 1992 07 6811.7
 1992 08 8711·7
 1992 09 5311·8
 1992 10 611·8
 1992 11 7512.0
 1992 12 5011.5
 1993 01  9011.3
 1993 02  4311·5
 1993 03  211·3
 1993 04  7811.0
 1993 05  710.2
 1993 06  7010·4
 1993 07  4910·7
 1993 08  39·8
 1993 09  6610.0
 1993 10  8111·4
 1993 11  4310.5
 1993 12  8010.6
 1994 01 5710·5
 1994 02 9510.1
 1994 03 339.9
 1994 04 9210·8
 1994 05 909·6
 1994 06 5710·3
 1994 07 9410·1
 1994 08 469·8
 1994 09 510·1
 1994 10 369.5
 1994 11 288·9
 1994 12 739·3
 1995 01  6410·2
 1995 02  259·0
 1995 03  608·9
 1995 04  308·9
 1995 05  569·8
 1995 06  449·1
 1995 07  398.8
 1995 08  979.6
 1995 09  929.1
 1995 10  389.4
 1995 11  429.5
 1995 12  839·3
 1996 01 119·4
 1996 02 749.6
 1996 03 699·6
 1996 04 199.6
 1996 05 779·6
 1996 06 488.8
 1996 07 448·8
 1996 08 618.8
 1996 09 768·2
 1996 10 788.0
 1996 11 208.5
 1996 12 907·4
 1997 01  218.4
 1997 02  98.2
 1997 03  708·3
 1997 04  158.2
 1997 05  517·7
 1997 06  107.5
 1997 07  957·9
 1997 08  657·2
 1997 09  297·4
 1997 10  747·8
 1997 11  227.0
 1997 12  997·3
 1998 01 417·1
 1998 02 226·9
 1998 03 996·9
 1998 04 966.7
 1998 05 26·9
 1998 06 967.4
 1998 07 37·3
 1998 08 657.4
 1998 09 497·3
 1998 10 687.2
 1998 11 347·1
 1998 12 377.7
 1999 01  456·7
 1999 02  296·7
 1999 03  175·8
 1999 04  687.0
 1999 05  786.7
 1999 06  06.6
 1999 07  26.5
 1999 08  406.5
 1999 09  606·7
 1999 10  256·4
 1999 11  666.0
 1999 12  605·8
 2000 01 305.6
 2000 02 735.7
 2000 03 86.1
 2000 04 605.5
 2000 05 515.8
 2000 06 385.6
 2000 07 545·8
 2000 08 955.9
 2000 09 105.8
 2000 10 395·1
 2000 11 556.0
 2000 12 475.7
 2001 01  205·8
 2001 02  206.1
 2001 03  856.2
 2001 04  246·4
 2001 05  206·3
 2001 06  506·6
 2001 07  456·2
 2001 08  576.5
 2001 09  726.7
 2001 10  257.1
 2001 11  607·3
 2001 12  37.7
 2002 01 637.8
 2002 02 627.0
 2002 03 817.5
 2002 04 428.0
 2002 05 87.1
 2002 06 67·4
 2002 07 837.4
 2002 08 837·5
 2002 09 437·4
 2002 10 267.9
 2002 11 677.8
 2002 12 567·9
 2003 01  327.9
 2003 02  167.7
 2003 03  587·8
 2003 04  187.6
 2003 05  628·0
 2003 06  958·3
 2003 07  68.0
 2003 08  507·7
 2003 09  477.3
 2003 10  87.5
 2003 11  877·4
 2003 12  606·7
 2004 01 247.3
 2004 02 237·4
 2004 03 17.6
 2004 04 807.1
 2004 05 566.9
 2004 06 356.6
 2004 07 746·8
 2004 08 646.8
 2004 09 326.8
 2004 10 636.8
 2004 11 556.7
 2004 12 966.6
 2005 01  636·0
 2005 02  516·3
 2005 03  215·8
 2005 04  826.4
 2005 05  896.0
 2005 06  685.7
 2005 07  725.5
 2005 08  545·8
 2005 09  716·4
 2005 10  86·0
 2005 11  326.1
 2005 12  686·1
 2006 01 975·5
 2006 02 915·4
 2006 03 535·2
 2006 04 55.5
 2006 05 825.0
 2006 06 605·2
 2006 07 105.2
 2006 08 735.3
 2006 09 615.5
 2006 10 854.8
 2006 11 35.1
 2006 12 45·0
 2007 01  995.5
 2007 02  605·1
 2007 03  585·0
 2007 04  535.6
 2007 05  845·8
 2007 06  35·5
 2007 07  255.9
 2007 08  25·5
 2007 09  275.9
 2007 10  605.7
 2007 11  805·9
 2007 12  596.3
 2008 01 686.3
 2008 02 996.2
 2008 03 226·9
 2008 04 547.1
 2008 05 686·9
 2008 06 157·6
 2008 07 777.5
 2008 08 448.0
 2008 09 168.0
 2008 10 268.8
 2008 11 968·7
 2008 12 129·4
 2009 01  2510·1
 2009 02  7711.3
 2009 03  5411.7
 2009 04  6311·4
 2009 05  3212·3
 2009 06  3612·1
 2009 07  5112.5
 2009 08  3013·0
 2009 09  112·6
 2009 10  9912.8
 2009 11  1412.4
 2009 12  6812·8
 2010 01 1912.9
 2010 02 8312·7
 2010 03 9112.9
 2010 04 6012.5
 2010 05 9912·0
 2010 06 3412·3
 2010 07 5912·2
 2010 08 1212.0
 2010 09 8012.3
 2010 10 2012.3
 2010 11 1812.9
 2010 12 5612·9
 2011 01  2312.3
 2011 02  3611.8
 2011 03  9311.6
 2011 04  4811·9
 2011 05  1811·6
 2011 06  011.5
 2011 07  3511·2
 2011 08  7111.2
 2011 09  7611·2
 2011 10  5811.3
 2011 11  1911.2
 2011 12  3011.1
 2012 01 3610.7
 2012 02 7710.9
 2012 03 4510·6
 2012 04 5810·3
 2012 05 6010.9
 2012 06 5210·9
 2012 07 3910.2
 2012 08 1010.1
 2012 09 379.7
 2012 10 310.0
 2012 11 529.9
 2012 12 709·6
 2013 01  799.7
 2013 02  729.7
 2013 03  599.3
 2013 04  429.0
 2013 05  259·0
 2013 06  319·1
 2013 07  599·4
 2013 08  609.2
 2013 09  378.8
 2013 10  729·1
 2013 11  798.7
 2013 12  798.3
 2014 01 28.3
 2014 02 158·2
 2014 03 697.9
 2014 04 827.3
 2014 05 357·7
 2014 06 37·7
 2014 07 47·7
 2014 08 747·4
 2014 09 736·8
 2014 10 76.8
 2014 11 846·6
 2014 12 886.4
 2015 01  786.7
 2015 02  206.8
 2015 03  366·8
 2015 04  806·9
 2015 05  396.8
 2015 06  616.7
 2015 07  96·9
 2015 08  316.6
 2015 09  686.2
 2015 10  756.3
 2015 11  796.4
 2015 12  506.2
 2016 01 35.9
 2016 02 315·4
 2016 03 465.6
 2016 04 666.2
 2016 05 85·6
 2016 06 225.9
 2016 07 365·4
 2016 08 375.6
 2016 09 706.4
 2016 10 685·7
 2016 11 995·7
 2016 12 445.9
 2017 01  35.9
 2017 02  135·6
 2017 03  105·1
 2017 04  955·2
 2017 05  435·2
 2017 06  274·8
 2017 07  705·1
 2017 08  205.1


 2017 09  545·1
 2017 10  34·8
 2017 11  34.8
 2017 12  764.9
 2018 01 235·0
 2018 02 604·9
 2018 03 625.1
 2018 04 454.8
 2018 05 644·9
 2018 06 434·6
 2018 07 204·5
 2018 08 344·7
 2018 09 154·5
 2018 10 204.4
 2018 11 794.5
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Rate: 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

Don't want to see advertisements? Click here to see how.

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - Pelican Marsh * Naples Luxury Real Estate Communities *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap