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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 4267·
 2000 02 360·
 2000 03 5058.
 2000 04 2354·
 2000 05 8862.
 2000 06 1075.
 2000 07 5884.
 2000 08 3192.
 2000 09 790·
 2000 10 2356·
 2000 11 7469.
 2000 12 4376·
 2001 01  4870·
 2001 02  2166.
 2001 03  1161·
 2001 04  545·
 2001 05  8850.
 2001 06  1368·
 2001 07  458.
 2001 08  8599·
 2001 09  2776.
 2001 10  3072.
 2001 11  1959.
 2001 12  7763.
 2002 01 9060·
 2002 02 2758.
 2002 03 4367.
 2002 04 174·
 2002 05 2791·
 2002 06 88103.
 2002 07 88111·
 2002 08 0107·
 2002 09 15111·
 2002 10 1893·
 2002 11 9375·
 2002 12 4483·
 2003 01  5257.
 2003 02  4951·
 2003 03  2058·
 2003 04  2763.
 2003 05  6682·
 2003 06  3968.
 2003 07  5768.
 2003 08  6882.
 2003 09  569·
 2003 10  67107.
 2003 11  17112.
 2003 12  11103·
 2004 01 4665·
 2004 02 4257·
 2004 03 3977·
 2004 04 2556·
 2004 05 8976·
 2004 06 9592·
 2004 07 8599·
 2004 08 5101.
 2004 09 5990·
 2004 10 8289.
 2004 11 4269.
 2004 12 70100.
 2005 01  793.
 2005 02  8593·
 2005 03  2496.
 2005 04  63100.
 2005 05  895.
 2005 06  1087.
 2005 07  6977.
 2005 08  5488.
 2005 09  6295·
 2005 10  91108.
 2005 11  3994·
 2005 12  3775.
 2006 01 9587·
 2006 02 8289·
 2006 03 23122.
 2006 04 31106·
 2006 05 5889·
 2006 06 6590.
 2006 07 3378·
 2006 08 81105·
 2006 09 2590.
 2006 10 4888.
 2006 11 774·
 2006 12 5578·
 2007 01  9791.
 2007 02  6274·
 2007 03  887·
 2007 04  4886·
 2007 05  9986.
 2007 06  6389.
 2007 07  2495·
 2007 08  7893·
 2007 09  8275.
 2007 10  3477.
 2007 11  6899.
 2007 12  9083.
 2008 01 2295·
 2008 02 8074·
 2008 03 7862·
 2008 04 5488.
 2008 05 1886.
 2008 06 3491·
 2008 07 1788·
 2008 08 6263.
 2008 09 9674·
 2008 10 5183·
 2008 11 7269.
 2008 12 3585·
 2009 01  680.
 2009 02  1582.
 2009 03  5691.
 2009 04  1675.
 2009 05  2495·
 2009 06  3169.
 2009 07  896·
 2009 08  7497·
 2009 09  5078.
 2009 10  3175.
 2009 11  9073.
 2009 12  579·
 2010 01 1078.
 2010 02 7197.
 2010 03 90105·
 2010 04 26110.
 2010 05 54106·
 2010 06 3491.
 2010 07 2183.
 2010 08 8285·
 2010 09 5684·
 2010 10 2663.
 2010 11 2161·
 2010 12 4381.
 2011 01  1968.
 2011 02  7947.
 2011 03  5262·
 2011 04  180.
 2011 05  6795·
 2011 06  4899·
 2011 07  497.
 2011 08  77111·
 2011 09  50101·
 2011 10  1789.
 2011 11  8874·
 2011 12  1570·
 2012 01 4480·
 2012 02 9192.
 2012 03 42104.
 2012 04 83102.
 2012 05 4994.
 2012 06 290·
 2012 07 3085.
 2012 08 7693·
 2012 09 9192·
 2012 10 7105·
 2012 11 3997·
 2012 12 13112.
 2013 01  20101.
 2013 02  87108·
 2013 03  82105·
 2013 04  3995.
 2013 05  1294.
 2013 06  4978·
 2013 07  9782.
 2013 08  2183.
 2013 09  6696.
 2013 10  2692·
 2013 11  46103.
 2013 12  55103·
 2014 01 9102.
 2014 02 72104.
 2014 03 19117·
 2014 04 59111·
 2014 05 9096.
 2014 06 7092·
 2014 07 27108.
 2014 08 78105·
 2014 09 85121.
 2014 10 27100.


 2014 11 9111·
 2014 12 8198.
 2015 01  94107·
 2015 02  7588·
 2015 03  28103.
 2015 04  6291.
 2015 05  4381.
 2015 06  6992.
 2015 07  70109·
 2015 08  4098.
 2015 09  83112.
 2015 10  92131·
 2015 11  50123·
 2015 12  59125·
 2016 01 88110·
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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: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: 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

Sites of Interest: hodress.com.au * The Wall Street Examiner: Be prepared. Stay ahead of the herd

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