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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 2067.
 2000 02 8560.
 2000 03 4458·
 2000 04 3554.
 2000 05 2462.
 2000 06 7675.
 2000 07 6084.
 2000 08 7592.
 2000 09 090.
 2000 10 7156.
 2000 11 8469·
 2000 12 2176.
 2001 01  9970·
 2001 02  5366.
 2001 03  2861·
 2001 04  1545·
 2001 05  9750.
 2001 06  2768.
 2001 07  3058.
 2001 08  2899·
 2001 09  9476·
 2001 10  2672·
 2001 11  5259.
 2001 12  5363·
 2002 01 1460·
 2002 02 758·
 2002 03 8467·
 2002 04 974.
 2002 05 1091.
 2002 06 50103·
 2002 07 37111·
 2002 08 41107·
 2002 09 55111.
 2002 10 6393·
 2002 11 4975.
 2002 12 1883.
 2003 01  5057·
 2003 02  7751.
 2003 03  8458·
 2003 04  3463·
 2003 05  2182.
 2003 06  4968.
 2003 07  2968.
 2003 08  782.
 2003 09  1969·
 2003 10  61107.
 2003 11  97112·
 2003 12  83103.
 2004 01 1865·
 2004 02 1957.
 2004 03 2777·
 2004 04 3156·
 2004 05 1876.
 2004 06 5492·
 2004 07 8099·
 2004 08 43101.
 2004 09 4690.
 2004 10 2489·
 2004 11 4569·
 2004 12 41100.
 2005 01  5293·
 2005 02  1093.
 2005 03  3596·
 2005 04  67100·
 2005 05  1095.
 2005 06  1887.
 2005 07  8877·
 2005 08  9188·
 2005 09  2395·
 2005 10  81108·
 2005 11  6694·
 2005 12  775·
 2006 01 1487·
 2006 02 5589·
 2006 03 57122.
 2006 04 34106.
 2006 05 3489·
 2006 06 2190.
 2006 07 7578.
 2006 08 16105.
 2006 09 5990·
 2006 10 8788·
 2006 11 5774·
 2006 12 2378·
 2007 01  8891.
 2007 02  8474·
 2007 03  6687·
 2007 04  4886.
 2007 05  4986·
 2007 06  6889·
 2007 07  9095.
 2007 08  1293·
 2007 09  9075·
 2007 10  2177.
 2007 11  4299.
 2007 12  5783·
 2008 01 8795·
 2008 02 5074.
 2008 03 6062·
 2008 04 5388·
 2008 05 4186.
 2008 06 8791.
 2008 07 688.
 2008 08 9463·
 2008 09 7674·
 2008 10 8783.
 2008 11 6969.
 2008 12 9985.
 2009 01  4580.
 2009 02  3482·
 2009 03  6191.
 2009 04  1375·
 2009 05  2095.
 2009 06  3269·
 2009 07  2196.
 2009 08  597.
 2009 09  478·
 2009 10  1575·
 2009 11  1073.
 2009 12  6879.
 2010 01 2278.
 2010 02 3897·
 2010 03 18105·
 2010 04 22110.
 2010 05 23106.
 2010 06 8491.
 2010 07 5783.
 2010 08 1185·
 2010 09 8484·
 2010 10 5963·
 2010 11 6561·
 2010 12 481·
 2011 01  468.
 2011 02  9447.
 2011 03  462.
 2011 04  9680.
 2011 05  1095.
 2011 06  4699.
 2011 07  6397·
 2011 08  4111.
 2011 09  51101.
 2011 10  9889·
 2011 11  5574·
 2011 12  7570.
 2012 01 380.
 2012 02 5592.
 2012 03 17104·
 2012 04 76102·
 2012 05 6694·
 2012 06 4990.
 2012 07 1385.
 2012 08 293.
 2012 09 6692·
 2012 10 36105.
 2012 11 2997·
 2012 12 72112·
 2013 01  53101.
 2013 02  99108·
 2013 03  80105.
 2013 04  3095.
 2013 05  294.
 2013 06  4578.
 2013 07  382.
 2013 08  4583.
 2013 09  1496·
 2013 10  392·
 2013 11  61103·
 2013 12  12103·
 2014 01 14102.
 2014 02 33104·
 2014 03 41117·
 2014 04 49111·
 2014 05 5396·
 2014 06 1492·
 2014 07 57108.
 2014 08 1105·
 2014 09 6121.
 2014 10 54100.
 2014 11 47111.
 2014 12 3798·
 2015 01  73107·
 2015 02  8488.
 2015 03  73103·
 2015 04  5091·
 2015 05  8081.
 2015 06  6192.
 2015 07  24109·
 2015 08  6198·
 2015 09  78112.
 2015 10  67131·
 2015 11  12123.
 2015 12  13125·
 2016 01 40110·
 2016 02 7137·
 2016 03 74107·
 2016 04 7685.


 2016 05 69110·
 2016 06 1598·
 2016 07 7592·
 2016 08 43146·
 2016 09 89133·
 2016 10 46115·
 2016 11 2127·
 2016 12 33146·
 2017 01  51176.
 2017 02  82154.
 2017 03  68126.
 2017 04  91111·
 2017 05  3087.
 2017 06  30100.
 2017 07  1080.
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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