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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 567·
 2000 02 1660·
 2000 03 8558·
 2000 04 7554·
 2000 05 7662.
 2000 06 8175·
 2000 07 8184·
 2000 08 192.
 2000 09 4590.
 2000 10 7556·
 2000 11 1069·
 2000 12 5876·
 2001 01  6270.
 2001 02  8066·
 2001 03  8461.
 2001 04  8945.
 2001 05  350.
 2001 06  368.
 2001 07  4158.
 2001 08  6399.
 2001 09  6776·
 2001 10  7772·
 2001 11  4459.
 2001 12  7463·
 2002 01 8060·
 2002 02 5658·
 2002 03 8067.
 2002 04 4274.
 2002 05 9391·
 2002 06 23103·
 2002 07 63111·
 2002 08 10107.
 2002 09 81111.
 2002 10 8593.
 2002 11 3175·
 2002 12 4883·
 2003 01  4457.
 2003 02  7351·
 2003 03  4658·
 2003 04  5063·
 2003 05  782·
 2003 06  4468·
 2003 07  9668·
 2003 08  3682.
 2003 09  2269·
 2003 10  79107·
 2003 11  94112.
 2003 12  48103·
 2004 01 6465.
 2004 02 8657·
 2004 03 7977·
 2004 04 5656.
 2004 05 3276·
 2004 06 9592.
 2004 07 1299.
 2004 08 55101.
 2004 09 5390·
 2004 10 6389·
 2004 11 8269·
 2004 12 64100·
 2005 01  7693.
 2005 02  7393·
 2005 03  296.
 2005 04  26100.
 2005 05  7795·
 2005 06  3087·
 2005 07  1077.
 2005 08  1288·
 2005 09  5795·
 2005 10  67108.
 2005 11  6894.
 2005 12  1475·
 2006 01 4087.
 2006 02 4089.
 2006 03 65122.
 2006 04 52106·
 2006 05 7889·
 2006 06 3090.
 2006 07 1278·
 2006 08 71105·
 2006 09 4590·
 2006 10 4588.
 2006 11 5074.
 2006 12 3978·
 2007 01  4391·
 2007 02  1574·
 2007 03  3987·
 2007 04  5186.
 2007 05  9686·
 2007 06  9889·
 2007 07  6895·
 2007 08  2693.
 2007 09  5475·
 2007 10  7577·
 2007 11  5099·
 2007 12  783·
 2008 01 9495·
 2008 02 5374·
 2008 03 2262·
 2008 04 6488·
 2008 05 1586·
 2008 06 6391·
 2008 07 4988.
 2008 08 9263·
 2008 09 4474·
 2008 10 6383.
 2008 11 1769.
 2008 12 985.
 2009 01  2980·
 2009 02  3382.
 2009 03  3991·
 2009 04  5975.
 2009 05  4895·
 2009 06  8169.
 2009 07  5496·
 2009 08  1297·
 2009 09  9978.
 2009 10  3775·
 2009 11  2373·
 2009 12  6179.
 2010 01 978·
 2010 02 5997·
 2010 03 36105·
 2010 04 27110.
 2010 05 28106·
 2010 06 2991·
 2010 07 583.
 2010 08 5285.
 2010 09 3284.
 2010 10 5263.
 2010 11 6861.
 2010 12 781·
 2011 01  2068·
 2011 02  6147·
 2011 03  8862·
 2011 04  8480.
 2011 05  1895·
 2011 06  1399·
 2011 07  5297·
 2011 08  4111.
 2011 09  76101.
 2011 10  8889·
 2011 11  7474.
 2011 12  1170·
 2012 01 7180.
 2012 02 9392·
 2012 03 91104·
 2012 04 74102.
 2012 05 294.
 2012 06 6190.
 2012 07 6685.
 2012 08 8693.
 2012 09 9492·
 2012 10 48105.
 2012 11 8897.
 2012 12 67112.
 2013 01  98101.
 2013 02  35108·
 2013 03  69105.
 2013 04  6295.
 2013 05  9094·
 2013 06  2978.
 2013 07  4782.
 2013 08  3883·
 2013 09  7096.
 2013 10  6292.
 2013 11  85103·
 2013 12  91103·
 2014 01 63102·
 2014 02 90104.
 2014 03 70117.
 2014 04 40111·
 2014 05 1996·
 2014 06 9592.
 2014 07 17108.
 2014 08 28105.
 2014 09 15121·
 2014 10 83100.
 2014 11 61111.
 2014 12 2598·
 2015 01  50107.
 2015 02  8788.
 2015 03  68103.
 2015 04  2591·
 2015 05  4981·
 2015 06  6392.
 2015 07  23109·
 2015 08  4798.
 2015 09  64112·
 2015 10  93131.


 2015 11  41123·
 2015 12  35125·
 2016 01 69110.
 2016 02 82137.
 2016 03 59107.
 2016 04 5985·
 2016 05 66110·
 2016 06 6498·
 2016 07 4092.
 2016 08 12146·
 2016 09 78133·
 2016 10 93115·
 2016 11 72127·
 2016 12 14146.
 2017 01  58176·
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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

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