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 Series Title: Population Level: 16-17 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 932010·
 2012 03 301957·
 2012 02 391952.
 2012 01 361859·
 2011 12  591702.
 2011 11  511760.
 2011 10  551773.
 2011 09  441773.
 2011 08  731815.
 2011 07  521887.
 2011 06  541891·
 2011 05  331883·
 2011 04  841829.
 2011 03  151858·
 2011 02  471791·
 2011 01  461734.
 2010 12 691663·
 2010 11 451661.
 2010 10 741671·
 2010 09 521663.
 2010 08 281679·
 2010 07 751651.
 2010 06 961713.
 2010 05 451748·
 2010 04 861692.
 2010 03 621640·
 2010 02 21636.
 2010 01 451659.
 2009 12  931637·
 2009 11  861643·
 2009 10  41583.
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 2009 03  01608.
 2009 02  761621.
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 1996 08 45943.
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 1996 01 58905.
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 1994 11 29874.
 1994 10 35888.
 1994 09 92970.
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 1992 11 96832.
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 1992 04 25856.
 1992 03 29856·
 1992 02 28834·
 1992 01 79793.
 1991 12  38824.
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 1991 09  11802.
 1991 08  71804.
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 1991 02  45869.
 1991 01  56858.
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 1990 01 7833·
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 1988 08 85690·
 1988 07 90693·
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 1988 04 26691·
 1988 03 24658.
 1988 02 55650·
 1988 01 26646.
 1987 12  17652.
 1987 11  58641.
 1987 10  36638·
 1987 09  12614·
 1987 08  83635·
 1987 07  51683.
 1987 06  26654·
 1987 05  56673·
 1987 04  76651.
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 1987 02  40655·
 1987 01  3661.
 1986 12 70660.
 1986 11 60669.
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 1986 08 66640·
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 1986 01 71668·
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 1985 09  67639.
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 1985 06  57637.
 1985 05  61636.
 1985 04  52635.
 1985 03  24635·
 1985 02  80635·
 1985 01  48634·
 1984 12 38634.
 1984 11 19634.
 1984 10 17634·
 1984 09 45633·
 1984 08 53633·
 1984 07 5633·
 1984 06 80633.
 1984 05 98632.
 1984 04 73632.
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 1984 01 75633.
 1983 12  99633.
 1983 11  8633·
 1983 10  61634·
 1983 09  71634.
 1983 08  54634.
 1983 07  13634·
 1983 06  31635·
 1983 05  4635.
 1983 04  90635·
 1983 03  86636·
 1983 02  28636·
 1983 01  20636.
 1982 12 83637.
 1982 11 36637·
 1982 10 91637.
 1982 09 86638.
 1982 08 32638·
 1982 07 92638.
 1982 06 82639·
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 1982 04 63640·
 1982 03 13640·
 1982 02 91640·
 1982 01 73640.
 1981 12  27640.
 1981 11  80640.
 1981 10  28641.
 1981 09  57641.
 1981 08  98641.
 1981 07  99641·
 1981 06  33641·
 1981 05  19641·
 1981 04  77641·
 1981 03  2641·
 1981 02  68641.
 1981 01  53640.
 1980 12 90640·
 1980 11 46640·
 1980 10 21639.
 1980 09 77639.
 1980 08 87639.
 1980 07 12638·
 1980 06 5638·
 1980 05 36638.
 1980 04 43637·
 1980 03 7637.
 1980 02 58637·
 1980 01 0637.
 1979 12  58526.
 1979 11  62499.
 1979 10  43522·
 1979 09  62541.
 1979 08  59556·
 1979 07  35549·
 1979 06  48547·
 1979 05  41568.
 1979 04  96573.
 1979 03  7538·
 1979 02  85554.
 1979 01  82558·
 1978 12 43544.
 1978 11 84526.
 1978 10 92534·
 1978 09 53545.
 1978 08 1562·
 1978 07 98585.
 1978 06 33595·
 1978 05 49565·
 1978 04 96568·
 1978 03 6572·
 1978 02 95564·
 1978 01 89570·
 1977 12  78540.
 1977 11  90538.
 1977 10  91542·
 1977 09  18550.
 1977 08  23569.
 1977 07  55556.
 1977 06  59533.
 1977 05  3469·
 1977 04  30438·
 1977 03  34454·
 1977 02  62473.
 1977 01  40491.
 1976 12 26521.
 1976 11 84525.
 1976 10 88529·
 1976 09 48516·
 1976 08 60505·
 1976 07 85480.
 1976 06 50463·
Economagic: Economic Chart Dispenser

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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: 16-17 years, Hispanic or Latino: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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