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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 5767.
 2000 02 5060·
 2000 03 3958·
 2000 04 1454·
 2000 05 9062.
 2000 06 8275·
 2000 07 1084·
 2000 08 2192.
 2000 09 4590.
 2000 10 6956.
 2000 11 3769.
 2000 12 8376.
 2001 01  7370.
 2001 02  9266·
 2001 03  3561·
 2001 04  4445.
 2001 05  5050.
 2001 06  5768.
 2001 07  4158.
 2001 08  7399·
 2001 09  7576·
 2001 10  9872.
 2001 11  1759.
 2001 12  6463·
 2002 01 7560.
 2002 02 7058·
 2002 03 5367·
 2002 04 3774.
 2002 05 9991.
 2002 06 55103·
 2002 07 59111·
 2002 08 35107·
 2002 09 23111.
 2002 10 5993.
 2002 11 7675·
 2002 12 2883.
 2003 01  4857.
 2003 02  1551.
 2003 03  6558.
 2003 04  1163.
 2003 05  9882.
 2003 06  7868·
 2003 07  1468·
 2003 08  182·
 2003 09  2469·
 2003 10  31107.
 2003 11  36112.
 2003 12  43103.
 2004 01 265.
 2004 02 8057.
 2004 03 6977·
 2004 04 756·
 2004 05 3176·
 2004 06 5792.
 2004 07 7699.
 2004 08 86101·
 2004 09 3890.
 2004 10 1889.
 2004 11 4569.
 2004 12 0100·
 2005 01  7393.
 2005 02  4593.
 2005 03  8996.
 2005 04  92100·
 2005 05  1095·
 2005 06  4587·
 2005 07  4677·
 2005 08  3288·
 2005 09  5195·
 2005 10  50108·
 2005 11  7894·
 2005 12  1575·
 2006 01 2187·
 2006 02 1589.
 2006 03 73122·
 2006 04 58106.
 2006 05 7089·
 2006 06 2390·
 2006 07 4578.
 2006 08 7105·
 2006 09 7490·
 2006 10 8088.
 2006 11 3174.
 2006 12 3078.
 2007 01  3391·
 2007 02  1874.
 2007 03  9487·
 2007 04  2286.
 2007 05  7286.
 2007 06  9389·
 2007 07  2195·
 2007 08  293.
 2007 09  4275.
 2007 10  8877·
 2007 11  2799·
 2007 12  1383.
 2008 01 1895·
 2008 02 974.
 2008 03 4962.
 2008 04 2688.
 2008 05 186·
 2008 06 8691.
 2008 07 4988·
 2008 08 3363.
 2008 09 1574.
 2008 10 7883.
 2008 11 1669·
 2008 12 5585.
 2009 01  1280·
 2009 02  6682·
 2009 03  6291·
 2009 04  3575·
 2009 05  6795·
 2009 06  5669·
 2009 07  2596.
 2009 08  4397.
 2009 09  8078·
 2009 10  8175·
 2009 11  6973·
 2009 12  7379·
 2010 01 7678.
 2010 02 9597.
 2010 03 81105·
 2010 04 43110·
 2010 05 7106.
 2010 06 8391.
 2010 07 7383.
 2010 08 9985·
 2010 09 4684.
 2010 10 4963.
 2010 11 8561.
 2010 12 881·
 2011 01  9668·
 2011 02  2547·
 2011 03  7962.
 2011 04  6680.
 2011 05  8095.
 2011 06  6999·
 2011 07  4297·
 2011 08  91111·
 2011 09  50101.
 2011 10  6289·
 2011 11  8774·
 2011 12  2870·
 2012 01 8180.
 2012 02 1092·
 2012 03 53104.
 2012 04 46102.
 2012 05 7394.
 2012 06 4590·
 2012 07 385.
 2012 08 3893.
 2012 09 5192.
 2012 10 24105·
 2012 11 2397.
 2012 12 24112·
 2013 01  67101.
 2013 02  29108.
 2013 03  28105·
 2013 04  4995·
 2013 05  9594·
 2013 06  6678·
 2013 07  5582·
 2013 08  8183.
 2013 09  3696.
 2013 10  6692.
 2013 11  66103.
 2013 12  14103·
 2014 01 16102.
 2014 02 87104·
 2014 03 51117·
 2014 04 67111·
 2014 05 8396·
 2014 06 992·
 2014 07 21108.
 2014 08 86105·
 2014 09 15121·
 2014 10 40100·
 2014 11 14111.
 2014 12 3898.
 2015 01  11107·
 2015 02  1288.
 2015 03  94103.
 2015 04  1891.
 2015 05  9781·
 2015 06  8092·
 2015 07  49109·
 2015 08  4598.


 2015 09  23112.
 2015 10  27131·
 2015 11  91123.
 2015 12  63125·
 2016 01 65110·
 2016 02 60137.
 2016 03 57107.
 2016 04 4285.
 2016 05 23110.
 2016 06 998·
 2016 07 1292·
 2016 08 76146.
 2016 09 22133.
 2016 10 31115·
 2016 11 43127.
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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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