Merge branch 'master' of https://github.com/fivethirtyeight/data

README.md

@@ -4,6 +4,10 @@ We hope you'll use it to check our work and to create stories and visualizations
 
 Article Date(s) | Headline(s) | Folder
 ---|---------|-------------
+Sept. 17, 2014 | [How The FiveThirtyEight Senate Forecast Model Works](http://fivethirtyeight.com/features/how-the-fivethirtyeight-senate-forecast-model-works/) | `forecast-methodology`
+Sept. 12, 2014 | [The Economic Guide To Picking A College Major](http://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/) | `college-majors`
+Sept. 9, 2014 | [The NFL’s Uneven History Of Punishing Domestic Violence](http://fivethirtyeight.com/features/nfl-domestic-violence-policy-suspensions/) | `nfl-suspensions`
+Sept. 5, 2014 | [41 Percent of Fliers Say It’s Rude To Recline Your Airplane Seat](http://fivethirtyeight.com/datalab/airplane-etiquette-recline-seat/) | `flying-etiquette-survey`
 Aug. 20, 2014 | [Most Police Don’t Live In The Cities They Serve](http://fivethirtyeight.com/datalab/most-police-dont-live-in-the-cities-they-serve/) | `police-locals`
 Aug. 13, 2014 | [Dear Mona Followup: Where Do People Drink The Most Beer, Wine And Spirits?](http://fivethirtyeight.com/datalab/dear-mona-followup-where-do-people-drink-the-most-beer-wine-and-spirits/) | `alcohol-consumption`
 Aug. 4, 2014 | [The Football Hall Of Fame Has A Receiver Problem](http://fivethirtyeight.com/features/the-football-hall-of-fame-has-a-receiver-problem/) | `nfl-wide-receivers`

college-majors/README.md

@@ -0,0 +1,49 @@
+This repo contains the data and code for FiveThirtyEight's story on earnings of college majors.
+All data is from American Community Survey 2010-2012 Public Use Microdata Series.
+Download data here:  http://www.census.gov/acs/www/data_documentation/pums_data/
+Documentation here: http://www.census.gov/acs/www/data_documentation/pums_documentation/
+
+college-majors-rscript.R:
+- My R script for parsing the data. 
+- Assumes you've already downloaded the data and selected only records with non-NA values for college major (FOD1P)
+- Outputs data to csv
+
+majors-list.csv:
+- List of majors with their FOD1P codes and major categories.
+- Major categories are from Carnevale et al, "What's It Worth?: The Economic Value of College Majors." Georgetown University Center on Education and the Workforce, 2011. http://cew.georgetown.edu/whatsitworth
+
+Three main data files:
+- all-ages.csv
+- recent-grads.csv (ages <28)
+- grad-students.csv (ages 25+)
+All contain basic earnings and labor force information. 
+recent-grads contains more detailed breakdown, including by sex and by the type of job they got. Full headers below.
+grad-students contains details on graduate school attendees.
+
+Additionally, women-stem.csv contains data for scatter plot in associated DataLab post on women in science/technology jobs. It is a subset of recent-grads.csv. (Small easter egg: Check out my related Shiny app: https://bencasselman.shinyapps.io/new-test/)
+
+Headers for  recent-grads.csv
+
+Header | Description
+---|---------
+`Rank` | Rank by median earnings
+`Major_code` | Major code, FO1DP in ACS PUMS
+`Major` | Major description
+`Major_category` | Category of major from Carnevale et al
+`Total` | Total number of people with major
+`Sample_size` | Sample size (unweighted) of full-time, year-round ONLY (used for earnings)
+`Men` | Male graduates
+`Women` | Female graduates
+`ShareWomen` | Women as share of total
+`Employed` | Number employed (ESR == 1 or 2)
+`Full_time` | Employed 35 hours or more
+`Part_time` | Employed less than 35 hours
+`Full_time_year_round` | Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)
+`Unemployed` | Number unemployed (ESR == 3)
+`Unemployment_rate` | Unemployed / (Unemployed + Employed)
+`Median` | Median earnings of full-time, year-round workers
+`P25th` | 25th percentile of earnigns
+`P75th` | 75th percentile of earnings
+`College_jobs` | Number with job requiring a college degree
+`Non_college_jobs` | Number with job not requiring a college degree
+`Low_wage_jobs` | Number in low-wage service jobs

college-majors/all-ages.csv

@@ -0,0 +1,174 @@
+Major_code,Major,Major_category,Total,Employed,Employed_full_time_year_round,Unemployed,Unemployment_rate,Median,P25th,P75th
+1100,GENERAL AGRICULTURE,Agriculture & Natural Resources,128148,90245,74078,2423,0.026147106,50000,34000,80000
+1101,AGRICULTURE PRODUCTION AND MANAGEMENT,Agriculture & Natural Resources,95326,76865,64240,2266,0.028636059,54000,36000,80000
+1102,AGRICULTURAL ECONOMICS,Agriculture & Natural Resources,33955,26321,22810,821,0.030248324,63000,40000,98000
+1103,ANIMAL SCIENCES,Agriculture & Natural Resources,103549,81177,64937,3619,0.0426789,46000,30000,72000
+1104,FOOD SCIENCE,Agriculture & Natural Resources,24280,17281,12722,894,0.049188446,62000,38500,90000
+1105,PLANT SCIENCE AND AGRONOMY,Agriculture & Natural Resources,79409,63043,51077,2070,0.031790887,50000,35000,75000
+1106,SOIL SCIENCE,Agriculture & Natural Resources,6586,4926,4042,264,0.050867052,63000,39400,88000
+1199,MISCELLANEOUS AGRICULTURE,Agriculture & Natural Resources,8549,6392,5074,261,0.039230422,52000,35000,75000
+1301,ENVIRONMENTAL SCIENCE,Biology & Life Science,106106,87602,65238,4736,0.051289827,52000,38000,75000
+1302,FORESTRY,Agriculture & Natural Resources,69447,48228,39613,2144,0.042563329,58000,40500,80000
+1303,NATURAL RESOURCES MANAGEMENT,Agriculture & Natural Resources,83188,65937,50595,3789,0.054341279,52000,37100,75000
+1401,ARCHITECTURE,Engineering,294692,216770,163020,20394,0.085991129,63000,40400,93500
+1501,AREA ETHNIC AND CIVILIZATION STUDIES,Humanities & Liberal Arts,103740,75798,50530,5525,0.067938959,46000,32000,71000
+1901,COMMUNICATIONS,Communications & Journalism,987676,790696,595739,54390,0.064360314,50000,35000,80000
+1902,JOURNALISM,Communications & Journalism,418104,314438,235407,20754,0.061916752,50000,35000,80000
+1903,MASS MEDIA,Communications & Journalism,211213,170474,125489,15431,0.08300476,48000,32000,70000
+1904,ADVERTISING AND PUBLIC RELATIONS,Communications & Journalism,186829,147433,111552,10624,0.067216257,50000,34000,75000
+2001,COMMUNICATION TECHNOLOGIES,Computers & Mathematics,62141,49609,37261,4609,0.085008669,50000,34500,75000
+2100,COMPUTER AND INFORMATION SYSTEMS,Computers & Mathematics,253782,218248,189950,11945,0.051891239,65000,45000,90000
+2101,COMPUTER PROGRAMMING AND DATA PROCESSING,Computers & Mathematics,29317,22828,18747,2265,0.090264217,60000,40000,85000
+2102,COMPUTER SCIENCE,Computers & Mathematics,783292,656372,561052,34196,0.049518657,78000,51000,105000
+2105,INFORMATION SCIENCES,Computers & Mathematics,77805,66393,57604,3704,0.052841063,68000,46200,95000
+2106,COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY,Computers & Mathematics,39362,32366,28156,2626,0.075045725,55000,40000,80000
+2107,COMPUTER NETWORKING AND TELECOMMUNICATIONS,Computers & Mathematics,51771,44071,35954,2748,0.05869412,55000,36000,80000
+2201,COSMETOLOGY SERVICES AND CULINARY ARTS,Industrial Arts & Consumer Services,42325,33388,25780,1941,0.0549407,40000,26200,60000
+2300,GENERAL EDUCATION,Education,1438867,843693,591863,38742,0.043903517,43000,32000,59000
+2301,EDUCATIONAL ADMINISTRATION AND SUPERVISION,Education,4037,3113,2468,0,0,58000,44750,79000
+2303,SCHOOL STUDENT COUNSELING,Education,2396,1492,1093,169,0.101745936,41000,33200,50000
+2304,ELEMENTARY EDUCATION,Education,1446701,819393,501786,32685,0.038359164,40000,31000,50000
+2305,MATHEMATICS TEACHER EDUCATION,Education,68808,47203,29494,1610,0.032983017,43000,34000,60000
+2306,PHYSICAL AND HEALTH EDUCATION TEACHING,Education,281661,193542,136343,9389,0.046266958,48400,34000,66500
+2307,EARLY CHILDHOOD EDUCATION,Education,157079,113460,71133,5890,0.049350649,35300,27000,45800
+2308,SCIENCE AND COMPUTER TEACHER EDUCATION,Education,56477,36224,24817,1596,0.042199894,46000,35000,61000
+2309,SECONDARY TEACHER EDUCATION,Education,224262,129486,88917,5925,0.043755677,45000,34000,60000
+2310,SPECIAL NEEDS EDUCATION,Education,149689,108272,71615,5357,0.047144655,42000,34000,53000
+2311,SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION,Education,127022,78785,51632,3800,0.046013199,45000,33000,64000
+2312,TEACHER EDUCATION: MULTIPLE LEVELS,Education,88067,58885,37892,2032,0.033356863,40000,30000,51000
+2313,LANGUAGE AND DRAMA EDUCATION,Education,181445,111347,67651,5624,0.048080293,42000,32000,54000
+2314,ART AND MUSIC EDUCATION,Education,231861,155159,94756,6629,0.040973373,42600,32000,56000
+2399,MISCELLANEOUS EDUCATION,Education,225553,126054,91322,5145,0.039215238,50000,35600,71000
+2400,GENERAL ENGINEERING,Engineering,503080,359172,312023,17986,0.047688237,75000,50000,1.00E+05
+2401,AEROSPACE ENGINEERING,Engineering,65734,44944,38491,1969,0.041971309,80000,58000,110000
+2402,BIOLOGICAL ENGINEERING,Engineering,32748,24270,18621,1521,0.058974061,62000,40000,91000
+2403,ARCHITECTURAL ENGINEERING,Engineering,19587,13713,11180,1017,0.06904277,78000,50000,102000
+2404,BIOMEDICAL ENGINEERING,Engineering,18347,12876,9202,1105,0.079035834,65000,40000,96000
+2405,CHEMICAL ENGINEERING,Engineering,188046,131697,109406,6388,0.046261361,86000,60000,120000
+2406,CIVIL ENGINEERING,Engineering,358593,262831,220528,14823,0.053386589,78000,55000,105000
+2407,COMPUTER ENGINEERING,Engineering,154160,128742,111025,7456,0.054743829,80000,60000,107000
+2408,ELECTRICAL ENGINEERING,Engineering,671647,489965,422317,26064,0.050508789,88000,60000,116000
+2409,ENGINEERING MECHANICS PHYSICS AND SCIENCE,Engineering,20582,14909,12257,683,0.043804515,65000,45000,1.00E+05
+2410,ENVIRONMENTAL ENGINEERING,Engineering,13016,9849,8104,472,0.045732003,70000,50000,95000
+2411,GEOLOGICAL AND GEOPHYSICAL ENGINEERING,Engineering,6264,4120,3350,0,0,85000,55000,125000
+2412,INDUSTRIAL AND MANUFACTURING ENGINEERING,Engineering,138366,101273,85014,5498,0.051493383,75000,50000,101000
+2413,MATERIALS ENGINEERING AND MATERIALS SCIENCE,Engineering,21430,14687,11871,933,0.059731114,78000,55000,105000
+2414,MECHANICAL ENGINEERING,Engineering,581529,422207,362053,19360,0.043843856,80000,59000,110000
+2415,METALLURGICAL ENGINEERING,Engineering,12818,6939,5462,326,0.044872677,96000,65000,123000
+2416,MINING AND MINERAL ENGINEERING,Engineering,10746,7416,6419,366,0.047031611,92000,52000,124000
+2417,NAVAL ARCHITECTURE AND MARINE ENGINEERING,Engineering,16094,10690,9226,449,0.040308825,97000,60000,125000
+2418,NUCLEAR ENGINEERING,Engineering,9826,7320,6474,527,0.067159424,95000,65000,128000
+2419,PETROLEUM ENGINEERING,Engineering,19631,14002,11636,617,0.042205349,125000,75000,210000
+2499,MISCELLANEOUS ENGINEERING,Engineering,57006,43906,37194,2744,0.058821008,70000,50000,1.00E+05
+2500,ENGINEERING TECHNOLOGIES,Engineering,37382,30102,25651,1475,0.046711214,63000,40000,93000
+2501,ENGINEERING AND INDUSTRIAL MANAGEMENT,Engineering,47098,27275,22104,1577,0.054658256,74000,50000,107000
+2502,ELECTRICAL ENGINEERING TECHNOLOGY,Engineering,94697,73737,64157,4572,0.058384094,67000,46900,91000
+2503,INDUSTRIAL PRODUCTION TECHNOLOGIES,Engineering,82142,65401,57266,3431,0.049846002,70000,48000,98000
+2504,MECHANICAL ENGINEERING RELATED TECHNOLOGIES,Engineering,29348,24190,21273,1101,0.043533273,60000,40000,82000
+2599,MISCELLANEOUS ENGINEERING TECHNOLOGIES,Engineering,64196,53097,46183,3401,0.060196821,63000,42000,90000
+2601,LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE,Humanities & Liberal Arts,75791,45657,30428,4043,0.081348089,48000,30000,70000
+2602,FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES,Humanities & Liberal Arts,236342,153654,99459,9598,0.058792542,48000,33500,69000
+2603,OTHER FOREIGN LANGUAGES,Humanities & Liberal Arts,57793,34696,23046,2707,0.072373874,45000,30000,75000
+2901,FAMILY AND CONSUMER SCIENCES,Industrial Arts & Consumer Services,402038,241585,154167,14273,0.055784849,40500,30000,60000
+3201,COURT REPORTING,Law & Public Policy,9330,7270,6143,518,0.066512583,50000,34000,75000
+3202,PRE-LAW AND LEGAL STUDIES,Law & Public Policy,67037,49259,37254,3699,0.069847804,48000,34000,70000
+3301,ENGLISH LANGUAGE AND LITERATURE,Humanities & Liberal Arts,1098647,708882,482229,52248,0.068645304,50000,32900,75000
+3302,COMPOSITION AND RHETORIC,Humanities & Liberal Arts,59211,44913,29628,3569,0.07361495,40000,28800,65000
+3401,LIBERAL ARTS,Humanities & Liberal Arts,601221,404932,296792,29348,0.067578521,50000,33000,75000
+3402,HUMANITIES,Humanities & Liberal Arts,46188,29971,19460,2530,0.077843759,46700,30000,70000
+3501,LIBRARY SCIENCE,Education,16193,7091,4330,743,0.094842992,40000,30000,55000
+3600,BIOLOGY,Biology & Life Science,839454,583079,422788,36757,0.05930117,51000,35000,80000
+3601,BIOCHEMICAL SCIENCES,Biology & Life Science,75322,52594,37103,4056,0.071597529,53000,33000,82000
+3602,BOTANY,Biology & Life Science,14135,9284,6333,327,0.034023515,50000,32000,75000
+3603,MOLECULAR BIOLOGY,Biology & Life Science,28197,20221,13366,1303,0.060537075,45000,30000,70000
+3604,ECOLOGY,Biology & Life Science,45368,36708,25677,1888,0.048916986,47500,32000,73000
+3605,GENETICS,Biology & Life Science,6362,4747,3498,206,0.041590955,48000,33000,80000
+3606,MICROBIOLOGY,Biology & Life Science,68885,45422,33990,2435,0.050880749,60000,40000,85000
+3607,PHARMACOLOGY,Biology & Life Science,5015,3481,2579,57,0.016110797,60000,35000,105000
+3608,PHYSIOLOGY,Biology & Life Science,43984,31394,20207,1692,0.051139455,50000,30000,75000
+3609,ZOOLOGY,Biology & Life Science,55395,35714,26152,1815,0.0483626,55000,34000,85000
+3611,NEUROSCIENCE,Biology & Life Science,13676,8987,5446,665,0.068897638,35000,28000,52000
+3699,MISCELLANEOUS BIOLOGY,Biology & Life Science,29389,22298,16508,1114,0.047582436,52000,33500,72800
+3700,MATHEMATICS,Computers & Mathematics,432806,280902,209838,15701,0.05293608,66000,42000,1.00E+05
+3701,APPLIED MATHEMATICS,Computers & Mathematics,19112,15136,12109,892,0.055652608,70000,47000,106000
+3702,STATISTICS AND DECISION SCIENCE,Computers & Mathematics,24806,18808,14468,1138,0.057054046,70000,43000,102000
+3801,MILITARY TECHNOLOGIES,Industrial Arts & Consumer Services,4315,1650,1708,187,0.101796407,64000,39750,90000
+4000,MULTI/INTERDISCIPLINARY STUDIES,Interdisciplinary,45199,35706,26038,2990,0.077268968,43000,32000,55000
+4001,INTERCULTURAL AND INTERNATIONAL STUDIES,Humanities & Liberal Arts,56580,43114,27499,3462,0.074330127,45000,30000,69000
+4002,NUTRITION SCIENCES,Health,64534,43878,28112,2961,0.06321655,49500,34000,69000
+4005,MATHEMATICS AND COMPUTER SCIENCE,Computers & Mathematics,7184,5874,5039,150,0.024900398,92000,53000,136000
+4006,COGNITIVE SCIENCE AND BIOPSYCHOLOGY,Biology & Life Science,6898,5527,3639,284,0.048872827,53000,31500,93000
+4007,INTERDISCIPLINARY SOCIAL SCIENCES,Social Science,61871,43312,31078,3030,0.065383453,45000,33000,67000
+4101,PHYSICAL FITNESS PARKS RECREATION AND LEISURE,Industrial Arts & Consumer Services,350409,286683,204242,14108,0.046902999,44000,30000,60000
+4801,PHILOSOPHY AND RELIGIOUS STUDIES,Humanities & Liberal Arts,205763,138734,95429,11252,0.075020335,45000,30000,70000
+4901,THEOLOGY AND RELIGIOUS VOCATIONS,Humanities & Liberal Arts,232865,164827,121606,7317,0.042505112,40000,27000,56000
+5000,PHYSICAL SCIENCES,Physical Sciences,8856,5872,4961,238,0.038952537,60000,38000,89000
+5001,ASTRONOMY AND ASTROPHYSICS,Physical Sciences,4700,3400,2447,320,0.086021505,80000,40000,106000
+5002,ATMOSPHERIC SCIENCES AND METEOROLOGY,Physical Sciences,14051,11252,9098,429,0.036726308,60000,39000,90000
+5003,CHEMISTRY,Physical Sciences,308062,198075,153308,11468,0.054728624,59000,38700,90000
+5004,GEOLOGY AND EARTH SCIENCE,Physical Sciences,107902,75698,59262,5272,0.065110535,65000,42000,1.00E+05
+5005,GEOSCIENCES,Physical Sciences,8267,6129,5020,274,0.042792441,57000,36000,80000
+5006,OCEANOGRAPHY,Physical Sciences,10741,7882,6508,449,0.053895091,55000,40000,90000
+5007,PHYSICS,Physical Sciences,122620,80797,60812,4440,0.052090055,70000,40000,110000
+5008,MATERIALS SCIENCE,Engineering,7208,5866,4505,134,0.022333333,75000,60000,1.00E+05
+5098,MULTI-DISCIPLINARY OR GENERAL SCIENCE,Physical Sciences,427953,308461,238933,14613,0.045231124,56000,38000,85000
+5102,"NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES",Physical Sciences,12166,9560,7238,718,0.069857949,62000,45000,80000
+5200,PSYCHOLOGY,Psychology & Social Work,1484075,1055854,736817,79066,0.069666584,45000,31000,68000
+5201,EDUCATIONAL PSYCHOLOGY,Psychology & Social Work,14041,8751,5763,716,0.07563114,40000,33000,70000
+5202,CLINICAL PSYCHOLOGY,Psychology & Social Work,7638,5128,3297,587,0.102712161,45000,26100,62000
+5203,COUNSELING PSYCHOLOGY,Psychology & Social Work,17633,13071,8888,954,0.06802139,39000,25000,50000
+5205,INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY,Psychology & Social Work,17969,11878,8631,1084,0.08362907,62000,40000,84000
+5206,SOCIAL PSYCHOLOGY,Psychology & Social Work,10871,6897,5226,660,0.087336245,47000,35000,70000
+5299,MISCELLANEOUS PSYCHOLOGY,Psychology & Social Work,34102,23921,15688,2137,0.082009364,45000,30000,70000
+5301,CRIMINAL JUSTICE AND FIRE PROTECTION,Law & Public Policy,757141,613369,517599,35037,0.054035589,50000,35000,74000
+5401,PUBLIC ADMINISTRATION,Law & Public Policy,54636,37879,31262,2836,0.069654918,56000,40000,85000
+5402,PUBLIC POLICY,Law & Public Policy,14782,11147,8196,959,0.079216917,60000,38000,90000
+5403,HUMAN SERVICES AND COMMUNITY ORGANIZATION,Psychology & Social Work,81786,61402,44959,4794,0.072421294,38000,29000,52000
+5404,SOCIAL WORK,Psychology & Social Work,319163,225081,164020,14208,0.059375901,40000,30000,53000
+5500,GENERAL SOCIAL SCIENCES,Social Science,127363,80165,57036,6132,0.071056931,50000,35000,75000
+5501,ECONOMICS,Social Science,757616,535446,430580,34974,0.061312717,69000,42000,110000
+5502,ANTHROPOLOGY AND ARCHEOLOGY,Humanities & Liberal Arts,143087,102399,66046,8684,0.078175778,43000,30000,68000
+5503,CRIMINOLOGY,Social Science,75085,59534,48763,4106,0.06451917,49000,35000,72000
+5504,GEOGRAPHY,Social Science,115423,83671,63070,6202,0.06900849,54000,38300,78000
+5505,INTERNATIONAL RELATIONS,Social Science,77371,56564,42091,4278,0.07031327,55000,40000,89000
+5506,POLITICAL SCIENCE AND GOVERNMENT,Social Science,748956,541630,421761,40376,0.069373855,58000,38000,90000
+5507,SOCIOLOGY,Social Science,674558,459174,336515,32344,0.065804304,47000,33000,70000
+5599,MISCELLANEOUS SOCIAL SCIENCES,Social Science,15882,12307,9444,708,0.054398771,52000,40000,80000
+5601,CONSTRUCTION SERVICES,Industrial Arts & Consumer Services,92346,79055,65916,4257,0.051097081,65000,45000,95000
+5701,"ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION",Industrial Arts & Consumer Services,15726,12607,10453,692,0.052033988,48000,32000,75000
+5901,TRANSPORTATION SCIENCES AND TECHNOLOGIES,Industrial Arts & Consumer Services,126639,98814,83519,4902,0.047263682,67000,42500,98000
+6000,FINE ARTS,Arts,571961,386961,256747,29912,0.071753268,45000,30000,70000
+6001,DRAMA AND THEATER ARTS,Arts,174817,135071,81519,11789,0.08027373,42000,29000,62000
+6002,MUSIC,Arts,276262,192704,116142,11155,0.054719193,45000,30000,67000
+6003,VISUAL AND PERFORMING ARTS,Arts,55141,41098,23479,4297,0.094658002,40000,27000,59000
+6004,COMMERCIAL ART AND GRAPHIC DESIGN,Arts,504657,379980,266671,30330,0.073919719,46600,32000,70000
+6005,FILM VIDEO AND PHOTOGRAPHIC ARTS,Arts,133508,107651,69303,10080,0.085618911,47000,30000,70000
+6006,ART HISTORY AND CRITICISM,Humanities & Liberal Arts,90852,61295,38989,4185,0.063912645,44500,30000,70000
+6007,STUDIO ARTS,Arts,81008,58799,36943,5372,0.083713827,37600,24900,58000
+6099,MISCELLANEOUS FINE ARTS,Arts,8511,6431,3802,1190,0.156147487,45000,30000,60000
+6100,GENERAL MEDICAL AND HEALTH SERVICES,Health,104516,78198,53746,4525,0.054700627,50000,35000,73000
+6102,COMMUNICATION DISORDERS SCIENCES AND SERVICES,Health,74977,49393,26085,2407,0.046467181,42000,30000,60000
+6103,HEALTH AND MEDICAL ADMINISTRATIVE SERVICES,Health,108510,85360,67294,5160,0.057003977,50000,35000,75000
+6104,MEDICAL ASSISTING SERVICES,Health,64316,51279,25118,1660,0.031356845,55000,37000,75000
+6105,MEDICAL TECHNOLOGIES TECHNICIANS,Health,164990,121479,92128,4564,0.036209865,60000,45000,76000
+6106,HEALTH AND MEDICAL PREPARATORY PROGRAMS,Health,32514,19009,13147,1431,0.070009785,50000,34000,85000
+6107,NURSING,Health,1769892,1325711,947546,36503,0.026796818,62000,48000,80000
+6108,PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION,Health,180084,124058,89234,4414,0.034357681,106000,78000,125000
+6109,TREATMENT THERAPY PROFESSIONS,Health,252138,199174,128115,5378,0.026291603,61000,40000,80000
+6110,COMMUNITY AND PUBLIC HEALTH,Health,56741,42543,28912,3032,0.066527702,47000,32800,70000
+6199,MISCELLANEOUS HEALTH MEDICAL PROFESSIONS,Health,77647,52610,35676,2978,0.053572714,45000,32000,62000
+6200,GENERAL BUSINESS,Business,2148712,1580978,1304646,85626,0.051377532,60000,40000,95000
+6201,ACCOUNTING,Business,1779219,1335825,1095027,75379,0.053414673,65000,42500,1.00E+05
+6202,ACTUARIAL SCIENCE,Business,9763,7846,6880,466,0.056063523,72000,53000,115000
+6203,BUSINESS MANAGEMENT AND ADMINISTRATION,Business,3123510,2354398,1939384,147261,0.058865337,58000,39500,86000
+6204,OPERATIONS LOGISTICS AND E-COMMERCE,Business,57200,47341,41104,2141,0.043268259,65000,45000,90000
+6205,BUSINESS ECONOMICS,Business,75547,57983,48471,3816,0.061748572,65000,45000,1.00E+05
+6206,MARKETING AND MARKETING RESEARCH,Business,1114624,890125,704912,51839,0.055032889,56000,38500,90000
+6207,FINANCE,Business,816548,670681,561073,34166,0.048472931,65000,45000,1.00E+05
+6209,HUMAN RESOURCES AND PERSONNEL MANAGEMENT,Business,187274,142879,116466,9241,0.060748094,54000,38000,80000
+6210,INTERNATIONAL BUSINESS,Business,86064,66453,51012,5106,0.071353708,54000,38600,80000
+6211,HOSPITALITY MANAGEMENT,Business,200854,163393,122499,8862,0.051446983,49000,33000,70000
+6212,MANAGEMENT INFORMATION SYSTEMS AND STATISTICS,Business,156673,134478,118249,6186,0.043977137,72000,50000,1.00E+05
+6299,MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION,Business,102753,77471,61603,4308,0.052678561,53000,36000,83000
+6402,HISTORY,Humanities & Liberal Arts,712509,478416,354163,33725,0.065851006,50000,35000,80000
+6403,UNITED STATES HISTORY,Humanities & Liberal Arts,17746,11887,8204,943,0.07349961,50000,39000,81000

college-majors/college-majors-rscript.R

@@ -0,0 +1,165 @@
+##############################################################
+#
+# COLLEGE MAJORS AND EARNINGS
+# This is the code used to generate data for FiveThirtyEight's
+# story on earnings by college major.
+# Analysis is based off the 2010-2012 American Community Survey
+# microdata. 
+# Download data here: http://www.census.gov/acs/www/data_documentation/pums_data/
+# Documentation here: http://www.census.gov/acs/www/data_documentation/pums_documentation/
+
+# First download data and select records for which college major 
+# (variable FOD1P) is present. Save into data frame as MAJORS1012.
+# Also download github_majorslist.csv
+
+require(dplyr)
+
+load("MAJORS1012")
+MajorsList <- read.csv("github_majorslist.csv",header=TRUE,stringsAsFactors=FALSE)
+
+working <- merge(MAJORS1012,MajorsList,by="FOD1P") # Check merge properly
+MAJORS1012  <- working
+rm(working)
+
+# Create dummy for full-time, year-round workers
+MAJORS1012$FTYR <- 0
+MAJORS1012$FTYR[MAJORS1012$WKW == 1 & MAJORS1012$WKHP >= 35] <- 1
+nrow(MAJORS1012[MAJORS1012$FTYR==1,])
+
+# If you want inflation-adjusted earnings, this is how to do it
+# MAJOR1012 <- mutate(MAJORS1012,RealEarn = PERNP * (ADJINC/1000000))
+
+# We want data on three groups
+# For ALL ages (no grad degree):
+#   - Number: Total, Employed, Unemployed, Employed FTYR
+#   - Median earnings (for FYFT)
+#   - 25th and 75th percentile earnings
+#   - Unemployment rate
+# For ages 25+
+#   - Median earnings for grad degree (FTYR)
+#   - Median earnings for non grad degree (FTYR)
+#   - Number with grad degree: Total, Employed, Unemployed, FTYR
+#   - Number without grad degree: Total, Employed, Unemployed, FTYR
+#   - Sample size
+# For YOUNG (up to 27):
+#   - Number: Total, Employed, Unemployed, Employed FTYR
+#   - Sample size
+#   - Median earnings (for FYFT)
+#   - 25% and 75% percentile earnings
+#   - Unemployment rate
+#   - Median hours worked
+#   - Share working full-time
+#   - Share employed in college/noncollege and low-end jobs
+
+# Several smaller data frames
+allage <- filter(MAJORS1012,SCHL == 21) # No grad degree earners
+allage.ftyr <- filter(MAJORS1012,SCHL == 21 & FTYR == 1 & PERNP >0)
+over25.nograd <- filter(MAJORS1012,AGEP > 24 & SCHL == 21)
+over25.grad <- filter(MAJORS1012,AGEP > 24 & SCHL > 21)
+young <- filter(MAJORS1012,AGEP < 28) # This DOES include students with grad degrees
+young.ftyr <- filter(young,FTYR == 1 & SCHL == 21 & SCH == 1) # But this doesn't. Also excludes those in school.
+
+# Create dummy for low-end job
+# Here's our list of low-end jobs
+# 4020 .EAT-COOKS
+# 4030 .EAT-FOOD PREPARATION WORKERS
+# 4040 .EAT-BARTENDERS
+# 4050 .EAT-COMBINED FOOD PREPARATION AND SERVING WORKERS,
+# .INCLUDING FAST FOOD
+# 4060 .EAT-COUNTER ATTENDANTS, CAFETERIA, FOOD CONCESSION, AND
+# .COFFEE SHOP
+# 4110 .EAT-WAITERS AND WAITRESSES
+# 4120 .EAT-FOOD SERVERS, NONRESTAURANT
+# 4130 .EAT-MISCELLANEOUS FOOD PREPARATION AND SERVING RELATED
+# .WORKERS, INCLUDING DINING ROOM AND CAFETERIA ATTENDANTS AND
+# .BARTENDER HELPERS
+# 4140 .EAT-DISHWASHERS
+# 4150 .EAT-HOSTS AND HOSTESSES, RESTAURANT, LOUNGE, AND COFFEE SHOP
+# 4220 .CLN-JANITORS AND BUILDING CLEANERS
+# 4230 .CLN-MAIDS AND HOUSEKEEPING CLEANERS
+# 4240 .CLN-PEST CONTROL WORKERS
+# 4250 .CLN-GROUNDS MAINTENANCE WORKERS
+# 4720 .SAL-CASHIERS
+# 4740 .SAL-COUNTER AND RENTAL CLERKS
+# 4750 .SAL-PARTS SALESPERSONS
+# 4760 .SAL-RETAIL SALESPERSONS
+# 4940 .SAL-TELEMARKETERS
+
+lowend <- c(4020,4030,4040,4050,4060,4110,4120,4130,4140,4150,4220,4230,4240,4250,4720,4740,4750,4760,4940)
+young$LowEnd  <-  0
+young$LowEnd[young$OCCP10 %in% as.list(lowend) | young$OCCP12 %in% as.list(lowend)] <- 1
+
+# This creates a dummy for college-level jobs. Based off non-public data from Jaison R. Abel and
+# Richard Deitz of the New York Fed. As a result, csv is not included here.
+# collegejobs <- read.csv("collegejobs.csv",header=TRUE,stringsAsFactors=FALSE)
+# young$collegejob[young$OCCP10 %in% as.list(collegejobs$OCC[collegejobs$College==1]) | 
+#                    young$OCCP12 %in% as.list(collegejobs$OCC[collegejobs$College==1])]  <- 1
+# young$noncollege[young$OCCP10 %in% as.list(collegejobs$OCC[collegejobs$College==0]) | 
+#                    young$OCCP12 %in% as.list(collegejobs$OCC[collegejobs$College==0])]  <- 1
+
+# Now we create three big dataframes for the analysis
+AllAges <- data.frame(FOD1P = as.numeric(MajorsList$FOD1P[2:nrow(MajorsList)]),Major = MajorsList$Major[2:nrow(MajorsList)],Major_Cat = MajorsList$Major_Category[2:nrow(MajorsList)],
+                      Total = NA, Employed = NA, FTYR = NA, Unemployed = NA, Urate = NA, Median = NA, P25th = NA, P75th = NA)
+Ages25up <- data.frame(FOD1P = as.numeric(MajorsList$FOD1P[2:nrow(MajorsList)]),Major = MajorsList$Major[2:nrow(MajorsList)],Major_Cat = MajorsList$Major_Category[2:nrow(MajorsList)],
+                       GradTotal = NA, GradEmployed = NA, GradFTYR = NA, GradUnemployed = NA, GradUrate = NA, GradMedian = NA, GradP25th = NA, GradP75th = NA,GradSample = NA,
+                       NoGradTotal = NA, NoGradEmployed = NA, NoGradFTYR = NA, NoGradUnemployed = NA, NoGradUrate = NA, NoGradMedian = NA, NoGradP25th = NA, NoGradP75th = NA)
+Young <- data.frame(FOD1P = as.numeric(MajorsList$FOD1P[2:nrow(MajorsList)]),Major = MajorsList$Major[2:nrow(MajorsList)],Major_Cat = MajorsList$Major_Category[2:nrow(MajorsList)],
+                    Total = NA, Employed = NA, FTYR = NA, Unemployed = NA, Urate = NA, Median = NA, P25th = NA, P75th = NA, Sample = NA,
+                    Median_hours = NA, FT = NA, PT = NA, LowEnd = NA, CollegeJob = NA, NonCollege = NA, Men = NA, Women = NA, ShareWomen = NA)
+
+# We'll do this in one big for loop
+loop <- seq(1:nrow(AllAges))
+for (i in loop) {
+  x <- AllAges$FOD1P[i]
+  AllAges[i,4] <- with(allage,sum(PWGTP[FOD1P==x]))
+  AllAges[i,5] <- with(allage,sum(PWGTP[FOD1P==x & (ESR == 1 | ESR == 2)]))
+  AllAges[i,6] <- with(allage,sum(PWGTP[FOD1P==x & FTYR == 1]))
+  AllAges[i,7] <- with(allage,sum(PWGTP[FOD1P==x & ESR == 3]))
+  AllAges[i,8] <- AllAges[i,7]/(AllAges[i,5] + AllAges[i,7])
+  AllAges[i,9] <- with(allage.ftyr[allage.ftyr$FOD1P == x,],median(rep(PERNP,times=PWGTP)))
+  AllAges[i,10] <- with(allage.ftyr[allage.ftyr$FOD1P == x,],quantile(rep(PERNP,times=PWGTP))[2])
+  AllAges[i,11] <- with(allage.ftyr[allage.ftyr$FOD1P == x,],quantile(rep(PERNP,times=PWGTP))[4])
+  
+  Ages25up[i,4] <- with(over25.grad,sum(PWGTP[FOD1P==x]))
+  Ages25up[i,5] <- with(over25.grad,sum(PWGTP[FOD1P==x & (ESR == 1 | ESR == 2)]))
+  Ages25up[i,6] <- with(over25.grad,sum(PWGTP[FOD1P==x & FTYR == 1]))
+  Ages25up[i,7] <- with(over25.grad,sum(PWGTP[FOD1P==x & ESR == 3]))
+  Ages25up[i,8] <- Ages25up[i,7]/(Ages25up[i,5] + Ages25up[i,7])
+  Ages25up[i,9] <- with(over25.grad[over25.grad$FOD1P == x & over25.grad$FTYR ==1,],median(rep(PERNP,times=PWGTP)))
+  Ages25up[i,10] <- with(over25.grad[over25.grad$FOD1P == x & over25.grad$FTYR ==1,],quantile(rep(PERNP,times=PWGTP))[2])
+  Ages25up[i,11] <- with(over25.grad[over25.grad$FOD1P == x & over25.grad$FTYR ==1,],quantile(rep(PERNP,times=PWGTP))[4])
+  Ages25up[i,12] <- nrow(over25.grad[over25.grad$FOD1P == x & over25.grad$FTYR ==1,])
+  Ages25up[i,13] <- with(over25.nograd,sum(PWGTP[FOD1P==x]))
+  Ages25up[i,14] <- with(over25.nograd,sum(PWGTP[FOD1P==x & (ESR == 1 | ESR == 2)]))
+  Ages25up[i,15] <- with(over25.nograd,sum(PWGTP[FOD1P==x & FTYR == 1]))
+  Ages25up[i,16] <- with(over25.nograd,sum(PWGTP[FOD1P==x & ESR == 3]))
+  Ages25up[i,17] <- Ages25up[i,16]/(Ages25up[i,14] + Ages25up[i,16])
+  Ages25up[i,18] <- with(over25.nograd[over25.nograd$FOD1P == x & over25.nograd$FTYR ==1,],median(rep(PERNP,times=PWGTP)))
+  Ages25up[i,19] <- with(over25.nograd[over25.nograd$FOD1P == x & over25.nograd$FTYR ==1,],quantile(rep(PERNP,times=PWGTP))[2])
+  Ages25up[i,20] <- with(over25.nograd[over25.nograd$FOD1P == x & over25.nograd$FTYR ==1,],quantile(rep(PERNP,times=PWGTP))[4])  
+  
+  Young[i,4] <- with(young,sum(PWGTP[FOD1P==x]))
+  Young[i,5] <- with(young,sum(PWGTP[FOD1P==x & (ESR == 1 | ESR == 2)]))
+  Young[i,6] <- with(young,sum(PWGTP[FOD1P==x & FTYR == 1]))
+  Young[i,7] <- with(young,sum(PWGTP[FOD1P==x & ESR == 3]))
+  Young[i,8] <- Young[i,7]/(Young[i,5] + Young[i,7])
+  Young[i,9] <- with(young.ftyr[young.ftyr$FOD1P == x & young.ftyr$PERNP>0,],median(rep(PERNP,times=PWGTP)))
+  Young[i,10] <- with(young.ftyr[young.ftyr$FOD1P == x & young.ftyr$PERNP>0,],quantile(rep(PERNP,times=PWGTP))[2])
+  Young[i,11] <- with(young.ftyr[young.ftyr$FOD1P == x & young.ftyr$PERNP>0,],quantile(rep(PERNP,times=PWGTP))[4])
+  Young[i,12] <- nrow(young.ftyr[young.ftyr$FOD1P == x & young.ftyr$PERNP>0,])
+  Young[i,13] <- with(young[young$FOD1P == x,],median(na.omit(rep(WKHP,times=PWGTP))))
+  Young[i,14] <- with(young,sum(na.omit(PWGTP[FOD1P==x & WKHP >= 35])))
+  Young[i,15] <- with(young,sum(na.omit(PWGTP[FOD1P==x & WKHP < 35])))
+  Young[i,16] <- with(young,sum(PWGTP[FOD1P==x & LowEnd == 1]))
+  Young[i,17] <- with(young,sum(na.omit(PWGTP[FOD1P==x & collegejob == 1 & (ESR == 1 | ESR == 2)]))) # only want employed
+  Young[i,18] <- with(young,sum(na.omit(PWGTP[FOD1P==x & noncollege == 1 & (ESR == 1 | ESR == 2)]))) # only want employed
+  Young[i,19] <- with(young,sum(PWGTP[FOD1P==x & SEX == 1]))
+  Young[i,20] <- with(young,sum(PWGTP[FOD1P==x & SEX == 2]))
+  Young[i,21] <- Young[i,20]/(Young[i,19] + Young[i,20])
+  
+  print(paste(i,"of",nrow(AllAges)))
+}
+
+write.csv(Young,file="Young.csv")
+write.csv(AllAges,file="AllAges.csv")
+write.csv(Ages25up,file="Ages25up.csv")

college-majors/grad-students.csv

@@ -0,0 +1,174 @@
+Major_code,Major,Major_category,Grad_total,Grad_sample_size,Grad_employed,Grad_full_time_year_round,Grad_unemployed,Grad_unemployment_rate,Grad_median,Grad_P25,Grad_P75,Nongrad_total,Nongrad_employed,Nongrad_full_time_year_round,Nongrad_unemployed,Nongrad_unemployment_rate,Nongrad_median,Nongrad_P25,Nongrad_P75,Grad_share,Grad_premium
+5601,CONSTRUCTION SERVICES,Industrial Arts & Consumer Services,9173,200,7098,6511,681,0.087543386,75000,53000,110000,86062,73607,62435,3928,0.050660992,65000,47000,98000,0.09631963,0.153846154
+6004,COMMERCIAL ART AND GRAPHIC DESIGN,Arts,53864,882,40492,29553,2482,0.057755852,60000,40000,89000,461977,347166,250596,25484,0.068385885,48000,34000,71000,0.104419773,0.25
+6211,HOSPITALITY MANAGEMENT,Business,24417,437,18368,14784,1465,0.073866788,65000,45000,1.00E+05,179335,145597,113579,7409,0.048422938,50000,35000,75000,0.11983686,0.3
+2201,COSMETOLOGY SERVICES AND CULINARY ARTS,Industrial Arts & Consumer Services,5411,72,3590,2701,316,0.080901178,47000,24500,85000,37575,29738,23249,1661,0.052899774,41600,29000,60000,0.125878193,0.129807692
+2001,COMMUNICATION TECHNOLOGIES,Computers & Mathematics,9109,171,7512,5622,466,0.058410629,57000,40600,83700,53819,43163,34231,3389,0.072800309,52000,36000,78000,0.144752733,0.096153846
+3201,COURT REPORTING,Law & Public Policy,1542,22,1008,860,0,0,75000,55000,120000,8921,6967,6063,518,0.069205077,50000,34000,75000,0.147376469,0.5
+6206,MARKETING AND MARKETING RESEARCH,Business,190996,3738,151570,123045,8324,0.052059489,80000,50000,120000,1029181,817906,662346,45519,0.052719113,60000,40000,91500,0.156531388,0.333333333
+1101,AGRICULTURE PRODUCTION AND MANAGEMENT,Agriculture & Natural Resources,17488,386,13104,11207,473,0.03483833,67000,41600,1.00E+05,89169,71781,61335,1869,0.025376782,55000,38000,80000,0.163964859,0.218181818
+2101,COMPUTER PROGRAMMING AND DATA PROCESSING,Computers & Mathematics,5611,98,4716,3981,119,0.024612203,85000,56000,114000,28314,22024,18381,2222,0.091643983,60000,40000,85000,0.165394252,0.416666667
+1904,ADVERTISING AND PUBLIC RELATIONS,Communications & Journalism,33928,688,28517,22523,899,0.030561599,60000,43000,90000,163435,127832,100330,8706,0.063762469,51000,37800,78000,0.171906588,0.176470588
+6005,FILM VIDEO AND PHOTOGRAPHIC ARTS,Arts,24525,370,19059,13301,2035,0.096472931,57000,40000,80000,116158,93915,63674,8160,0.07994122,50000,32000,75000,0.174328099,0.14
+5701,"ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION",Industrial Arts & Consumer Services,3187,45,1984,1481,319,0.13851498,62000,40000,1.00E+05,14842,11921,9949,653,0.051932559,50000,32400,75000,0.176770758,0.24
+2504,MECHANICAL ENGINEERING RELATED TECHNOLOGIES,Engineering,6065,111,4442,3669,310,0.06523569,78000,50000,103000,27999,23069,20418,998,0.04146757,61000,42000,85000,0.178047205,0.278688525
+1903,MASS MEDIA,Communications & Journalism,42915,828,35939,28054,1957,0.051641334,57000,41000,90000,190020,153722,117581,12816,0.07695541,50000,35000,72000,0.184235946,0.14
+5901,TRANSPORTATION SCIENCES AND TECHNOLOGIES,Industrial Arts & Consumer Services,27410,538,20035,18088,980,0.046633357,90000,62000,124000,121260,94538,80650,4326,0.04375708,69000,45000,1.00E+05,0.184368063,0.304347826
+2107,COMPUTER NETWORKING AND TELECOMMUNICATIONS,Computers & Mathematics,11165,218,9037,7988,803,0.081605691,80000,54000,110000,48776,41552,34402,2476,0.05623694,58000,37700,84000,0.186266495,0.379310345
+6299,MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION,Business,22553,408,17691,14807,865,0.04661565,75000,47000,106000,95860,72005,58441,3694,0.048798531,55000,38000,85000,0.190460507,0.363636364
+2599,MISCELLANEOUS ENGINEERING TECHNOLOGIES,Engineering,14816,315,12433,11146,407,0.031697819,80000,54000,105000,60571,50092,44199,3316,0.062088077,65000,43000,90000,0.196532559,0.230769231
+2503,INDUSTRIAL PRODUCTION TECHNOLOGIES,Engineering,19885,408,14752,12467,603,0.039270596,84500,60000,111000,81076,64389,56559,3431,0.050589797,70000,48000,99000,0.196957241,0.207142857
+6099,MISCELLANEOUS FINE ARTS,Arts,1733,27,1100,770,44,0.038461538,55000,40000,76000,7044,5220,3556,1001,0.160906607,46000,30000,60000,0.197447875,0.195652174
+5301,CRIMINAL JUSTICE AND FIRE PROTECTION,Law & Public Policy,188228,3794,154146,133549,6591,0.041004871,68000,45000,1.00E+05,695361,565748,490943,29133,0.04897282,52000,36000,75000,0.213026645,0.307692308
+6203,BUSINESS MANAGEMENT AND ADMINISTRATION,Business,813399,16129,622357,527935,32089,0.049032311,77000,50000,115000,2996892,2253649,1882507,136978,0.057297939,60000,40000,88000,0.213474246,0.283333333
+5503,CRIMINOLOGY,Social Science,18499,381,14584,12074,692,0.045299817,65000,44000,98000,67082,53419,45563,3189,0.056334794,50000,35000,75000,0.216157792,0.3
+6212,MANAGEMENT INFORMATION SYSTEMS AND STATISTICS,Business,41970,963,36227,32121,1459,0.038714642,89000,64500,116000,150110,129179,115177,5690,0.042189087,72000,50000,1.00E+05,0.218502707,0.236111111
+2106,COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY,Computers & Mathematics,10290,194,8554,7581,542,0.059586631,81000,54000,109000,35883,29740,26303,2102,0.066013441,60000,41600,80000,0.222857514,0.35
+6204,OPERATIONS LOGISTICS AND E-COMMERCE,Business,15056,335,12659,10861,296,0.022848321,94000,64000,131000,52043,43074,38454,1827,0.040689517,66000,46800,92000,0.224384864,0.424242424
+6200,GENERAL BUSINESS,Business,602964,10399,457191,387928,19494,0.040894931,85000,52000,130000,2056867,1510380,1264413,77999,0.049106038,60000,40000,98000,0.226692598,0.416666667
+6105,MEDICAL TECHNOLOGIES TECHNICIANS,Health,47029,942,37639,29892,987,0.025552736,76000,55000,112000,159438,117087,89592,4193,0.034572889,60000,45900,77000,0.227779742,0.266666667
+2100,COMPUTER AND INFORMATION SYSTEMS,Computers & Mathematics,71527,1425,60858,53807,2539,0.040049214,80000,55000,104000,242194,209994,184959,10439,0.047356793,65000,45000,90000,0.227995576,0.230769231
+1901,COMMUNICATIONS,Communications & Journalism,266084,4879,212156,159049,10851,0.048657665,65000,45000,96000,896111,716886,557992,46564,0.060991552,52000,36100,80000,0.228949531,0.25
+6202,ACTUARIAL SCIENCE,Business,2472,56,2020,1725,162,0.074243813,110000,80000,150000,7998,6666,6040,266,0.038372764,76000,53000,125000,0.236103152,0.447368421
+2502,ELECTRICAL ENGINEERING TECHNOLOGY,Engineering,28155,521,22501,19707,1296,0.054460646,85000,60000,110000,90886,71204,62854,4210,0.055825178,68000,48000,92000,0.23651515,0.25
+1902,JOURNALISM,Communications & Journalism,119953,2244,91778,71683,4026,0.042023298,70000,46000,1.00E+05,386113,287521,222172,18390,0.060115524,53000,36000,80100,0.237030348,0.320754717
+6104,MEDICAL ASSISTING SERVICES,Health,18654,326,14499,10826,377,0.025342834,80000,55000,108000,59740,47608,23707,1443,0.02941836,56000,38000,76000,0.237951884,0.428571429
+2500,ENGINEERING TECHNOLOGIES,Engineering,11724,219,9471,7958,450,0.045358331,74000,48400,105000,35992,29092,25129,1475,0.048254654,65000,40000,94000,0.245703747,0.138461538
+6201,ACCOUNTING,Business,569677,11774,451610,384280,19729,0.041857347,88000,59000,131000,1708418,1282267,1065334,68954,0.051030882,65000,44000,1.00E+05,0.250067271,0.353846154
+6000,FINE ARTS,Arts,181514,2528,124246,80794,8072,0.06100455,58000,40000,82000,541433,363977,247638,26518,0.06790868,46000,30000,70000,0.251075113,0.260869565
+6107,NURSING,Health,573467,10432,437115,335009,9498,0.021266734,84000,62000,110000,1686899,1256606,909187,32472,0.025190097,64000,50000,80000,0.253705373,0.3125
+2105,INFORMATION SCIENCES,Computers & Mathematics,25799,551,22403,19028,1179,0.049995759,84000,62000,114000,74072,63354,55946,3333,0.049979756,70000,48500,96000,0.258323237,0.2
+2403,ARCHITECTURAL ENGINEERING,Engineering,6466,143,4857,4264,304,0.058903313,78000,56000,110000,18500,12772,10648,889,0.065075763,80000,52000,106000,0.258992229,-0.025
+4000,MULTI/INTERDISCIPLINARY STUDIES,Interdisciplinary,14405,318,12708,9639,261,0.020124913,55000,43600,74000,41018,32600,24260,2573,0.073152702,44000,34200,58000,0.259910146,0.25
+5102,"NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES",Physical Sciences,3910,65,3129,2565,28,0.00886918,80000,55000,106000,11069,8699,6701,605,0.065025795,64000,45000,80000,0.261032112,0.25
+1100,GENERAL AGRICULTURE,Agriculture & Natural Resources,44306,764,28930,23024,874,0.029324923,68000,45000,104000,123984,86631,72409,2352,0.026432015,50000,34000,80000,0.263271733,0.36
+1302,FORESTRY,Agriculture & Natural Resources,24713,487,16831,14102,725,0.041296423,78000,52000,110000,67649,46815,39048,1885,0.038706366,59000,42000,80000,0.267566748,0.322033898
+3401,LIBERAL ARTS,Humanities & Liberal Arts,213970,3420,154404,112953,6788,0.042111271,70000,48000,103000,575676,387303,288616,27049,0.065280245,50000,34000,75000,0.270969523,0.4
+5403,HUMAN SERVICES AND COMMUNITY ORGANIZATION,Psychology & Social Work,29262,555,23537,18213,1504,0.060061499,50100,38000,70110,78105,58298,43307,4625,0.073502535,38700,30000,53000,0.272541842,0.294573643
+6003,VISUAL AND PERFORMING ARTS,Arts,18324,275,14841,9671,593,0.038421666,53000,38000,80000,48548,36008,21969,3729,0.093842011,40000,28000,60000,0.274016031,0.325
+1303,NATURAL RESOURCES MANAGEMENT,Agriculture & Natural Resources,29357,659,23394,19087,711,0.029495955,70000,50000,1.00E+05,77101,60690,48256,3413,0.053242438,53000,38000,75000,0.275761333,0.320754717
+6007,STUDIO ARTS,Arts,28883,500,21628,14277,1147,0.050362239,50750,40000,70000,74183,53276,35035,4739,0.081685771,38000,26000,59000,0.280237906,0.335526316
+2901,FAMILY AND CONSUMER SCIENCES,Industrial Arts & Consumer Services,149084,2294,101593,69675,3919,0.037142695,58000,42000,80000,378778,223314,146322,12312,0.052252298,42000,30000,60000,0.282429878,0.380952381
+4101,PHYSICAL FITNESS PARKS RECREATION AND LEISURE,Industrial Arts & Consumer Services,119489,2423,103790,80196,2696,0.025317882,60000,44000,85000,296901,245267,186901,10704,0.041817237,45000,33700,64000,0.286964144,0.333333333
+6207,FINANCE,Business,301650,6319,252242,221486,11635,0.044092513,95000,62000,150000,745903,615192,528057,28844,0.044786316,70000,45000,1.00E+05,0.287956791,0.357142857
+2419,PETROLEUM ENGINEERING,Engineering,7479,164,5640,4869,112,0.019471488,124000,80000,2.00E+05,18483,13108,11334,580,0.042372881,126000,75000,215000,0.288074879,-0.015873016
+1105,PLANT SCIENCE AND AGRONOMY,Agriculture & Natural Resources,30983,624,22782,18312,735,0.031253986,67000,45000,1.00E+05,76190,60241,49506,1899,0.030560026,50000,35000,75000,0.289093335,0.34
+6209,HUMAN RESOURCES AND PERSONNEL MANAGEMENT,Business,72548,1316,55106,47878,3813,0.064715966,70000,47000,1.00E+05,178250,135403,112085,8719,0.060497356,55000,39000,80000,0.289268654,0.272727273
+6210,INTERNATIONAL BUSINESS,Business,30985,604,24519,20196,1424,0.054889566,72000,50000,104000,74951,58763,46734,4137,0.065771065,57000,40000,85000,0.292487917,0.263157895
+3302,COMPOSITION AND RHETORIC,Humanities & Liberal Arts,21250,332,16723,10535,676,0.038852808,58000,42000,80000,50175,38047,26514,2837,0.069391449,42000,30000,69000,0.297514876,0.380952381
+6001,DRAMA AND THEATER ARTS,Arts,66560,1069,50690,34179,3679,0.067667237,58600,44000,85000,156841,120476,75712,10435,0.079710643,45000,30000,65000,0.29793958,0.302222222
+6205,BUSINESS ECONOMICS,Business,30210,642,22935,19467,1239,0.051253413,94000,60000,150000,69826,53771,45965,3186,0.055936935,70000,47000,101000,0.301991283,0.342857143
+2501,ENGINEERING AND INDUSTRIAL MANAGEMENT,Engineering,20177,340,12781,11035,1336,0.094637671,107000,70000,150000,46013,26479,21870,1554,0.055434666,75000,50000,108000,0.304834567,0.426666667
+2102,COMPUTER SCIENCE,Computers & Mathematics,324402,6674,281088,243500,10557,0.036198118,95000,69000,125000,739583,623930,544970,31060,0.047420571,80000,52000,106000,0.304893396,0.1875
+6103,HEALTH AND MEDICAL ADMINISTRATIVE SERVICES,Health,45452,898,35283,29992,1933,0.051940026,79000,51000,108000,101621,79713,64350,4430,0.052648467,52000,37000,75000,0.309043808,0.519230769
+1102,AGRICULTURAL ECONOMICS,Agriculture & Natural Resources,14800,305,10592,8768,216,0.019985196,80000,53000,120000,33049,25557,22496,734,0.027918299,63000,40000,99000,0.30930636,0.26984127
+1301,ENVIRONMENTAL SCIENCE,Biology & Life Science,43612,925,38068,29568,1392,0.035276229,68000,48000,1.00E+05,94504,78828,61721,3837,0.046416258,55000,40000,76000,0.315763561,0.236363636
+5504,GEOGRAPHY,Social Science,52147,1008,38935,30602,1251,0.031130244,73000,50000,105000,108758,78756,60831,5680,0.067269885,55000,40000,80000,0.324085641,0.327272727
+2499,MISCELLANEOUS ENGINEERING,Engineering,26032,497,19112,16552,685,0.034601202,90000,60000,122000,53532,41524,36059,2305,0.05259075,70000,50000,1.00E+05,0.327183148,0.285714286
+3604,ECOLOGY,Biology & Life Science,21535,465,17793,13713,677,0.036654034,62000,45000,93000,41530,33531,24530,1665,0.047306512,48700,33000,74000,0.341473083,0.273100616
+4007,INTERDISCIPLINARY SOCIAL SCIENCES,Social Science,30233,541,22755,17138,1444,0.059671887,66000,45000,96000,57635,40252,29613,2493,0.058322611,46000,34000,70000,0.344072928,0.434782609
+1401,ARCHITECTURE,Engineering,148255,2760,114536,88038,8665,0.070332221,72000,49800,102000,279577,207090,159313,18651,0.082621234,64000,42000,95000,0.346526207,0.125
+1106,SOIL SCIENCE,Agriculture & Natural Resources,3335,61,2284,1641,34,0.014667817,65000,50000,91000,6242,4654,3917,264,0.053680358,65000,41000,89000,0.348230135,0
+3202,PRE-LAW AND LEGAL STUDIES,Law & Public Policy,33137,544,24818,20149,1005,0.038918793,76000,50000,121000,61368,45218,35337,3523,0.072280011,50000,35000,70000,0.350637532,0.52
+2400,GENERAL ENGINEERING,Engineering,268473,4345,199771,174234,7460,0.035998475,1.00E+05,65000,139000,482878,346258,304610,16636,0.045842588,75000,50000,1.00E+05,0.357320347,0.333333333
+5098,MULTI-DISCIPLINARY OR GENERAL SCIENCE,Physical Sciences,223467,3494,162694,126999,4705,0.0281065,86000,55000,142000,401739,290699,229673,13226,0.043517315,59000,40000,86000,0.357429391,0.457627119
+2406,CIVIL ENGINEERING,Engineering,196344,4057,150299,127120,5327,0.034229499,98000,70000,130000,338011,247251,212776,13275,0.050954607,80000,56000,105000,0.367441121,0.225
+2407,COMPUTER ENGINEERING,Engineering,82102,1806,73147,65371,1592,0.021300793,97000,75000,130000,141270,119738,106089,6639,0.052533293,81000,60000,110000,0.367557259,0.197530864
+2416,MINING AND MINERAL ENGINEERING,Engineering,6083,126,4491,4038,271,0.056908862,1.00E+05,72000,140000,10460,7161,6270,366,0.04862495,95000,52000,125000,0.367708396,0.052631579
+2307,EARLY CHILDHOOD EDUCATION,Education,82430,1396,63027,43428,1760,0.027165944,50000,40000,65000,141496,100158,64302,4956,0.04714881,37000,28000,48000,0.36811268,0.351351351
+5507,SOCIOLOGY,Social Science,368710,6155,259742,191949,11353,0.041878308,64000,45000,93000,627027,422359,318869,28396,0.062996528,49000,35000,71000,0.37028854,0.306122449
+5500,GENERAL SOCIAL SCIENCES,Social Science,73350,1069,45744,34005,2841,0.058474838,69000,47000,1.00E+05,122828,77095,55727,5499,0.066578686,50000,35000,75000,0.373895136,0.38
+1103,ANIMAL SCIENCES,Agriculture & Natural Resources,56807,1335,47755,39047,596,0.012326529,70300,48000,104000,94910,74896,61629,3101,0.039757939,48000,32000,75000,0.374427388,0.464583333
+6109,TREATMENT THERAPY PROFESSIONS,Health,142285,2607,123279,91011,2185,0.017415354,70000,51000,96000,234752,187311,123316,4158,0.021716309,63000,42000,80000,0.377376756,0.111111111
+1199,MISCELLANEOUS AGRICULTURE,Agriculture & Natural Resources,5032,98,2758,2276,261,0.086452468,54000,45000,81000,8092,5978,4707,239,0.038442979,55000,39000,78000,0.383419689,-0.018181818
+2414,MECHANICAL ENGINEERING,Engineering,347342,7285,266923,234162,9810,0.035449332,1.00E+05,75000,138000,547538,395914,348301,16897,0.040931564,82000,60000,110000,0.388143662,0.219512195
+3402,HUMANITIES,Humanities & Liberal Arts,27477,450,19264,13799,1215,0.059329069,65000,47000,1.00E+05,43298,27799,18630,2398,0.079411862,47000,30625,73000,0.388230307,0.382978723
+1104,FOOD SCIENCE,Agriculture & Natural Resources,14521,266,10857,8074,370,0.032956266,72000,50000,110000,22853,16298,12431,681,0.040108369,63000,40000,92000,0.388532135,0.142857143
+2412,INDUSTRIAL AND MANUFACTURING ENGINEERING,Engineering,86791,1758,66432,56355,2669,0.038624622,98000,70000,135000,131402,96312,82220,5047,0.049793309,76000,50000,104000,0.397771698,0.289473684
+2411,GEOLOGICAL AND GEOPHYSICAL ENGINEERING,Engineering,3940,66,2673,1905,79,0.028706395,105000,75000,140800,5941,3797,3165,0,0,87000,57000,125000,0.398745066,0.206896552
+5206,SOCIAL PSYCHOLOGY,Psychology & Social Work,7007,119,4796,3509,312,0.061080658,71000,48800,1.00E+05,10307,6486,4928,660,0.092359362,49000,36300,75000,0.404701398,0.448979592
+2417,NAVAL ARCHITECTURE AND MARINE ENGINEERING,Engineering,10801,197,6739,6332,222,0.03189197,102000,70000,145000,15759,10596,9044,449,0.040651879,1.00E+05,60000,128000,0.406664157,0.02
+4005,MATHEMATICS AND COMPUTER SCIENCE,Computers & Mathematics,4810,103,3880,3045,445,0.102890173,98000,65000,131500,6996,5711,5020,150,0.025592902,92000,53000,136000,0.407419956,0.065217391
+6006,ART HISTORY AND CRITICISM,Humanities & Liberal Arts,56666,892,40441,27668,2293,0.053657509,65000,45000,93000,82188,54192,35955,3731,0.0644131,45500,31000,73000,0.408097714,0.428571429
+6199,MISCELLANEOUS HEALTH MEDICAL PROFESSIONS,Health,51566,848,39185,28576,1100,0.027305449,60000,41000,90000,72590,49431,34327,2326,0.044940781,45000,33000,62000,0.415332324,0.333333333
+6100,GENERAL MEDICAL AND HEALTH SERVICES,Health,64284,1172,54355,42137,1226,0.022057897,70000,52000,1.00E+05,90171,69217,50755,3592,0.04933456,52000,37000,75000,0.416198893,0.346153846
+4001,INTERCULTURAL AND INTERNATIONAL STUDIES,Humanities & Liberal Arts,32549,600,26153,18746,1786,0.063924979,70000,46000,115000,45113,34373,24209,2680,0.072328826,50000,32000,72000,0.41911102,0.4
+4002,NUTRITION SCIENCES,Health,40740,641,31411,21321,773,0.024018146,65000,48400,1.00E+05,56400,38530,26254,2503,0.060999683,50000,35000,70000,0.419394688,0.3
+5501,ECONOMICS,Social Science,517614,9822,386002,315920,17668,0.043768425,1.00E+05,63000,175000,700637,496450,409200,29246,0.055632913,70000,44000,111000,0.424882885,0.428571429
+2306,PHYSICAL AND HEALTH EDUCATION TEACHING,Education,202105,3061,131845,92639,3782,0.027885303,65000,50000,85000,270939,185279,133212,8119,0.041980786,50000,35000,68000,0.427243555,0.3
+6110,COMMUNITY AND PUBLIC HEALTH,Health,35543,638,28112,22384,874,0.030152487,68500,48000,1.00E+05,47568,36104,27108,1804,0.047588899,50000,35000,70000,0.427656989,0.37
+2408,ELECTRICAL ENGINEERING,Engineering,482767,10070,371723,324080,13974,0.036230513,106000,80000,145000,645159,471850,413582,24278,0.048934952,90000,62000,118000,0.428013008,0.177777778
+4901,THEOLOGY AND RELIGIOUS VOCATIONS,Humanities & Liberal Arts,165460,3112,115266,90580,3926,0.032938452,48000,32000,69000,220424,154911,116980,6305,0.039109021,40000,28000,58000,0.428781706,0.2
+5006,OCEANOGRAPHY,Physical Sciences,7315,197,5501,5642,125,0.022218272,90000,50000,114000,9739,7311,6029,419,0.054204398,60000,44000,97000,0.428931629,0.5
+2399,MISCELLANEOUS EDUCATION,Education,166626,2091,86566,59620,3106,0.034637345,61000,46200,83000,221750,122937,89949,4880,0.038179585,50000,36000,72000,0.42903269,0.22
+2402,BIOLOGICAL ENGINEERING,Engineering,21515,433,16810,13353,695,0.039702942,80000,50000,120000,28562,21509,17822,1118,0.049409997,65000,40000,93000,0.429638357,0.230769231
+5401,PUBLIC ADMINISTRATION,Law & Public Policy,42661,750,31985,27682,2000,0.058849492,75000,50000,110000,53242,37006,30763,2609,0.065858892,58000,40000,86000,0.444834885,0.293103448
+2304,ELEMENTARY EDUCATION,Education,1105607,15410,668185,438791,13889,0.020362893,55000,44000,70000,1379686,762114,476855,28714,0.03630878,40000,32000,51000,0.444859821,0.375
+5205,INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY,Psychology & Social Work,13718,221,9546,7366,453,0.04530453,75000,50000,106000,16994,11009,8347,1044,0.08661744,63000,41000,85000,0.446665798,0.19047619
+3801,MILITARY TECHNOLOGIES,Industrial Arts & Consumer Services,3465,29,1248,1040,72,0.054545455,74000,37900,123000,4278,1650,1671,187,0.101796407,64000,39000,90000,0.447500969,0.15625
+2300,GENERAL EDUCATION,Education,1128727,13846,698049,507406,24083,0.033349858,58000,45000,75000,1388324,805371,573139,35180,0.041853498,44000,32000,60000,0.448432312,0.318181818
+6002,MUSIC,Arts,205013,2759,150394,88436,6507,0.041472011,60000,41000,85000,251339,174414,109664,8834,0.048207893,46400,32000,70000,0.449243128,0.293103448
+2314,ART AND MUSIC EDUCATION,Education,183239,2679,123145,80953,3600,0.028403487,59000,45000,75000,218268,143673,90398,5955,0.039798701,44000,32200,57000,0.456378096,0.340909091
+2601,LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE,Humanities & Liberal Arts,57960,853,40277,27836,2157,0.05083188,65000,42000,98000,68993,41522,28718,3414,0.07597472,49000,31000,70000,0.456546911,0.326530612
+2413,MATERIALS ENGINEERING AND MATERIALS SCIENCE,Engineering,17051,335,13042,10727,705,0.051283916,92000,70000,120000,20152,13729,11755,880,0.06023684,78000,55000,105000,0.458323254,0.179487179
+5502,ANTHROPOLOGY AND ARCHEOLOGY,Humanities & Liberal Arts,107888,1971,83632,59545,4374,0.049701157,65000,45100,1.00E+05,126116,90622,62339,6369,0.065665887,45000,30000,70000,0.461051948,0.444444444
+5404,SOCIAL WORK,Psychology & Social Work,260824,4537,203983,153941,7963,0.037570891,53000,40000,70000,301611,211272,157896,12645,0.056471818,40000,30000,54000,0.463740699,0.325
+3301,ENGLISH LANGUAGE AND LITERATURE,Humanities & Liberal Arts,881433,13688,598806,420936,25330,0.040584103,67000,46600,1.00E+05,1018267,650188,457320,45414,0.065287334,50000,34600,78000,0.463985366,0.34
+2312,TEACHER EDUCATION: MULTIPLE LEVELS,Education,72079,1122,46866,32536,896,0.018759683,55000,43000,69000,82941,54460,35610,1804,0.032063131,40000,30000,52000,0.464965811,0.375
+5004,GEOLOGY AND EARTH SCIENCE,Physical Sciences,90232,1814,66748,54643,1881,0.027408238,84000,55000,125000,103388,72682,57959,4848,0.062530633,66000,43000,1.00E+05,0.466026237,0.272727273
+6108,PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION,Health,152238,2872,124688,97680,3174,0.024823638,111000,85000,140000,173397,120500,88001,4110,0.032982907,107000,80000,125000,0.46751117,0.037383178
+2603,OTHER FOREIGN LANGUAGES,Humanities & Liberal Arts,46826,784,31558,23188,1436,0.043523065,68000,45000,1.00E+05,52934,31878,22253,2111,0.062108329,47000,32000,76000,0.469386528,0.446808511
+5200,PSYCHOLOGY,Psychology & Social Work,1184158,20547,915341,666630,35718,0.03755603,64000,45000,97000,1322161,938016,689146,64552,0.064386655,46000,32200,70000,0.472468987,0.391304348
+1501,AREA ETHNIC AND CIVILIZATION STUDIES,Humanities & Liberal Arts,84409,1573,65878,48598,3091,0.044817237,75000,50000,120000,90834,65609,46517,4630,0.065917795,50000,34600,75000,0.481668312,0.5
+5000,PHYSICAL SCIENCES,Physical Sciences,7979,141,5292,4180,208,0.037818182,80000,54000,135000,8495,5676,4945,238,0.04024349,60000,38000,89000,0.484338958,0.333333333
+5002,ATMOSPHERIC SCIENCES AND METEOROLOGY,Physical Sciences,11739,254,8657,7488,237,0.026647178,82000,52000,110000,12457,9847,8754,384,0.037532988,60000,39000,90000,0.485162837,0.366666667
+2405,CHEMICAL ENGINEERING,Engineering,168136,3306,124544,106097,4997,0.03857466,102000,70000,150000,173332,120146,103629,5413,0.043111207,90000,62000,123000,0.492391674,0.133333333
+2401,AEROSPACE ENGINEERING,Engineering,58511,1240,42632,39834,1225,0.027931687,107000,80000,140000,60077,41023,36578,1656,0.038801284,85000,60000,110000,0.493397308,0.258823529
+6402,HISTORY,Humanities & Liberal Arts,645414,11486,454797,347910,18445,0.038975831,80000,51000,125000,657090,439435,338441,28790,0.061487533,52000,35000,83000,0.495517864,0.538461538
+5599,MISCELLANEOUS SOCIAL SCIENCES,Social Science,14077,306,10916,9039,551,0.048050929,73000,52000,105000,14312,10935,8899,653,0.056351398,54000,40000,81000,0.495861073,0.351851852
+3701,APPLIED MATHEMATICS,Computers & Mathematics,17075,386,14113,11699,416,0.02863239,1.00E+05,65000,135000,17276,13704,11253,773,0.05339504,76000,48000,110000,0.497074321,0.315789474
+3702,STATISTICS AND DECISION SCIENCE,Computers & Mathematics,21973,429,16979,14113,751,0.042357586,92000,64000,125000,22210,17024,13665,874,0.048832272,75000,45000,106000,0.497317973,0.226666667
+2602,FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES,Humanities & Liberal Arts,215376,3187,145043,98947,5820,0.038578048,67000,48000,1.00E+05,216138,137925,92812,8372,0.057226054,50000,35000,70000,0.499117062,0.34
+2311,SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION,Education,119073,1646,68997,47671,2263,0.031756946,60000,45000,84000,118529,71644,49027,3206,0.042832331,47000,35000,65000,0.501144772,0.276595745
+3700,MATHEMATICS,Computers & Mathematics,418056,6906,287467,217363,11245,0.037644956,89000,60000,127000,407046,262174,202078,14142,0.051180532,68000,43000,1.00E+05,0.506671902,0.308823529
+5506,POLITICAL SCIENCE AND GOVERNMENT,Social Science,695725,14467,548199,455539,22134,0.038808906,92000,60000,150000,674509,492011,398808,33077,0.062993251,60000,40000,95000,0.507741743,0.533333333
+5505,INTERNATIONAL RELATIONS,Social Science,69355,1348,54693,44547,2594,0.045280779,86000,55000,132000,66901,49168,38384,3157,0.060334448,60000,40000,90000,0.509005108,0.433333333
+2410,ENVIRONMENTAL ENGINEERING,Engineering,11722,252,9387,8183,450,0.045745654,81000,56000,110000,10985,8641,7475,304,0.033985467,71900,55000,1.00E+05,0.516228476,0.126564673
+3699,MISCELLANEOUS BIOLOGY,Biology & Life Science,27744,553,22488,17787,597,0.025860949,65000,43200,108000,25601,19978,15600,802,0.038594803,55000,35000,75000,0.520086231,0.181818182
+5299,MISCELLANEOUS PSYCHOLOGY,Psychology & Social Work,32107,590,24652,18469,777,0.030555665,68000,45000,110000,29609,20627,14514,1851,0.082347184,47000,32000,75000,0.520237864,0.446808511
+2415,METALLURGICAL ENGINEERING,Engineering,13656,251,9299,8095,218,0.022906378,1.00E+05,74000,135000,12555,6692,5415,310,0.044273065,98000,66000,123000,0.521002632,0.020408163
+2309,SECONDARY TEACHER EDUCATION,Education,239928,3094,128469,89415,2929,0.022291055,61000,48000,80000,217166,123329,86002,5494,0.042647664,45000,35000,62000,0.524898599,0.355555556
+5005,GEOSCIENCES,Physical Sciences,9006,204,7443,6200,134,0.0176851,90000,55000,130000,7977,5920,4890,238,0.038648912,58000,38000,80000,0.530295001,0.551724138
+6403,UNITED STATES HISTORY,Humanities & Liberal Arts,18877,311,12217,8628,327,0.02606824,82000,55000,130000,16704,10913,7898,943,0.079537787,52000,39000,85000,0.53053596,0.576923077
+2409,ENGINEERING MECHANICS PHYSICS AND SCIENCE,Engineering,21377,447,15822,13676,472,0.028967718,1.00E+05,74000,147000,18682,13391,11561,660,0.046971746,70000,48000,1.00E+05,0.533637884,0.428571429
+4006,COGNITIVE SCIENCE AND BIOPSYCHOLOGY,Biology & Life Science,5982,118,5032,3879,239,0.04534244,95000,55000,135000,5156,4206,3116,184,0.04191344,55000,40000,93000,0.537080266,0.727272727
+2313,LANGUAGE AND DRAMA EDUCATION,Education,199901,2757,122260,80860,3921,0.031074409,58000,45100,75000,169782,102263,63345,4956,0.046223151,43200,33300,55000,0.540736252,0.342592593
+2418,NUCLEAR ENGINEERING,Engineering,10520,243,8567,8018,100,0.011538018,110000,85000,148000,8688,6730,6258,144,0.020948502,1.00E+05,65000,130000,0.547688463,0.1
+5402,PUBLIC POLICY,Law & Public Policy,15284,338,12875,10988,415,0.031226486,89000,60000,136000,12158,9478,7456,441,0.044460127,63000,41800,94000,0.55695649,0.412698413
+2305,MATHEMATICS TEACHER EDUCATION,Education,80826,1194,51750,34672,748,0.014248162,60000,47500,80000,63346,42354,27419,1610,0.036620872,45000,35000,62000,0.560622035,0.333333333
+2308,SCIENCE AND COMPUTER TEACHER EDUCATION,Education,69301,993,42043,28805,954,0.022187594,62000,48000,84000,53851,34223,23656,1460,0.040915842,48000,36000,63000,0.562727361,0.291666667
+3606,MICROBIOLOGY,Biology & Life Science,83816,1631,66240,53208,2201,0.032159086,85000,53000,141000,63129,42544,33085,2062,0.046226965,60000,40500,85000,0.570390282,0.416666667
+4801,PHILOSOPHY AND RELIGIOUS STUDIES,Humanities & Liberal Arts,250420,4566,182113,138724,7369,0.038890238,65000,41900,105000,184971,124979,90406,9196,0.068537358,46000,30000,72000,0.575161177,0.413043478
+2310,SPECIAL NEEDS EDUCATION,Education,192495,3240,144858,98736,3329,0.022464859,58000,46000,75000,140128,100814,68067,4629,0.043900496,43000,35000,54000,0.578718249,0.348837209
+3602,BOTANY,Biology & Life Science,19960,323,13071,9457,449,0.033210059,70000,42000,110000,13863,9100,6255,327,0.034687599,50000,32000,76000,0.590130976,0.4
+3600,BIOLOGY,Biology & Life Science,1085977,21994,898342,703347,19368,0.021104706,95000,56000,174000,718231,512669,394936,28639,0.052907033,54000,37000,80000,0.601913416,0.759259259
+5001,ASTRONOMY AND ASTROPHYSICS,Physical Sciences,6331,136,5480,4548,112,0.020028612,96000,60000,150000,3899,2720,2163,298,0.098740888,85000,56000,109000,0.61886608,0.129411765
+5003,CHEMISTRY,Physical Sciences,464784,8694,336838,273532,10411,0.029981368,1.00E+05,62000,160000,282037,180034,145119,10316,0.054194904,60000,40000,90000,0.622349934,0.666666667
+3608,PHYSIOLOGY,Biology & Life Science,59363,1155,50450,38252,1078,0.020920664,90000,55000,151000,34819,25501,18261,1284,0.047937278,50000,35000,78000,0.630300907,0.8
+2404,BIOMEDICAL ENGINEERING,Engineering,22155,475,19474,16845,366,0.018447581,90000,49000,150000,12362,9626,8051,547,0.053769783,70000,48000,104000,0.641857635,0.285714286
+3501,LIBRARY SCIENCE,Education,28963,314,15651,10914,483,0.029936779,52000,41996,76000,15850,6798,4292,743,0.098528047,40000,30000,55000,0.646307991,0.3
+3603,MOLECULAR BIOLOGY,Biology & Life Science,37872,875,32729,26944,950,0.028207488,85000,50000,155000,20564,15914,11602,679,0.04092087,50000,31000,75000,0.648093641,0.7
+3607,PHARMACOLOGY,Biology & Life Science,8853,168,7571,6238,188,0.024229927,105000,70000,137000,4506,3126,2463,57,0.017907634,66000,38000,105000,0.662699304,0.590909091
+3609,ZOOLOGY,Biology & Life Science,106415,1978,80607,60310,1723,0.020927973,110000,65000,230000,52896,34015,25588,1680,0.047065415,55000,35000,88000,0.667970197,1
+5007,PHYSICS,Physical Sciences,227722,4361,168583,140603,6189,0.035411851,1.00E+05,62000,140000,111298,72752,57486,3832,0.050036561,74000,43000,110000,0.671706684,0.351351351
+3611,NEUROSCIENCE,Biology & Life Science,14429,286,12551,10044,225,0.017611146,58000,45000,90000,6993,4802,3580,360,0.069740411,40000,30000,79000,0.673559892,0.45
+5201,EDUCATIONAL PSYCHOLOGY,Psychology & Social Work,28941,396,18993,12772,499,0.025600246,61000,45500,84000,13515,8561,5713,655,0.071072049,40000,34000,70000,0.681670435,0.525
+3601,BIOCHEMICAL SCIENCES,Biology & Life Science,128892,2765,109944,90589,2728,0.024211872,96000,55000,175000,58550,43165,34108,2888,0.062710355,55000,36000,85000,0.687636709,0.745454545
+3605,GENETICS,Biology & Life Science,12106,261,10450,9060,207,0.019423853,78000,48000,120000,5255,4020,3187,192,0.045584046,56000,36000,90000,0.697310063,0.392857143
+5008,MATERIALS SCIENCE,Engineering,14184,299,12263,9894,273,0.021777281,95000,65000,125000,5643,4619,4001,134,0.02819272,80000,65000,103000,0.715388107,0.1875
+6102,COMMUNICATION DISORDERS SCIENCES AND SERVICES,Health,182108,2947,145102,93323,2103,0.0142862,65000,50000,83000,59427,39683,24385,1578,0.038244347,44000,32700,60000,0.753961124,0.477272727
+5203,COUNSELING PSYCHOLOGY,Psychology & Social Work,51812,724,38468,28808,1420,0.035599679,50000,36000,65000,16781,12377,8502,835,0.063200121,40000,25000,50000,0.755354045,0.25
+5202,CLINICAL PSYCHOLOGY,Psychology & Social Work,22716,355,16612,12022,782,0.044958032,70000,47000,95000,6519,4368,3033,357,0.075555556,46000,30000,70000,0.777013853,0.52173913
+6106,HEALTH AND MEDICAL PREPARATORY PROGRAMS,Health,114971,1766,78132,58825,1732,0.021686868,135000,70000,294000,26320,16221,12185,1012,0.05872454,51000,35000,87000,0.813717788,1.647058824
+2303,SCHOOL STUDENT COUNSELING,Education,19841,260,11313,8130,613,0.051400302,56000,42000,70000,2232,1328,980,169,0.112892452,42000,27000,51000,0.898880986,0.333333333
+2301,EDUCATIONAL ADMINISTRATION AND SUPERVISION,Education,54159,841,34142,26850,582,0.016760742,65000,50000,86000,4003,3079,2434,0,0,58000,45000,79000,0.931174994,0.120689655

college-majors/majors-list.csv

@@ -0,0 +1,175 @@
+FOD1P,Major,Major_Category
+1100,GENERAL AGRICULTURE,Agriculture & Natural Resources
+1101,AGRICULTURE PRODUCTION AND MANAGEMENT,Agriculture & Natural Resources
+1102,AGRICULTURAL ECONOMICS,Agriculture & Natural Resources
+1103,ANIMAL SCIENCES,Agriculture & Natural Resources
+1104,FOOD SCIENCE,Agriculture & Natural Resources
+1105,PLANT SCIENCE AND AGRONOMY,Agriculture & Natural Resources
+1106,SOIL SCIENCE,Agriculture & Natural Resources
+1199,MISCELLANEOUS AGRICULTURE,Agriculture & Natural Resources
+1302,FORESTRY,Agriculture & Natural Resources
+1303,NATURAL RESOURCES MANAGEMENT,Agriculture & Natural Resources
+6000,FINE ARTS,Arts
+6001,DRAMA AND THEATER ARTS,Arts
+6002,MUSIC,Arts
+6003,VISUAL AND PERFORMING ARTS,Arts
+6004,COMMERCIAL ART AND GRAPHIC DESIGN,Arts
+6005,FILM VIDEO AND PHOTOGRAPHIC ARTS,Arts
+6007,STUDIO ARTS,Arts
+6099,MISCELLANEOUS FINE ARTS,Arts
+1301,ENVIRONMENTAL SCIENCE,Biology & Life Science
+3600,BIOLOGY,Biology & Life Science
+3601,BIOCHEMICAL SCIENCES,Biology & Life Science
+3602,BOTANY,Biology & Life Science
+3603,MOLECULAR BIOLOGY,Biology & Life Science
+3604,ECOLOGY,Biology & Life Science
+3605,GENETICS,Biology & Life Science
+3606,MICROBIOLOGY,Biology & Life Science
+3607,PHARMACOLOGY,Biology & Life Science
+3608,PHYSIOLOGY,Biology & Life Science
+3609,ZOOLOGY,Biology & Life Science
+3611,NEUROSCIENCE,Biology & Life Science
+3699,MISCELLANEOUS BIOLOGY,Biology & Life Science
+4006,COGNITIVE SCIENCE AND BIOPSYCHOLOGY,Biology & Life Science
+6200,GENERAL BUSINESS,Business
+6201,ACCOUNTING,Business
+6202,ACTUARIAL SCIENCE,Business
+6203,BUSINESS MANAGEMENT AND ADMINISTRATION,Business
+6204,OPERATIONS LOGISTICS AND E-COMMERCE,Business
+6205,BUSINESS ECONOMICS,Business
+6206,MARKETING AND MARKETING RESEARCH,Business
+6207,FINANCE,Business
+6209,HUMAN RESOURCES AND PERSONNEL MANAGEMENT,Business
+6210,INTERNATIONAL BUSINESS,Business
+6211,HOSPITALITY MANAGEMENT,Business
+6212,MANAGEMENT INFORMATION SYSTEMS AND STATISTICS,Business
+6299,MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION,Business
+1901,COMMUNICATIONS,Communications & Journalism
+1902,JOURNALISM,Communications & Journalism
+1903,MASS MEDIA,Communications & Journalism
+1904,ADVERTISING AND PUBLIC RELATIONS,Communications & Journalism
+2001,COMMUNICATION TECHNOLOGIES,Computers & Mathematics
+2100,COMPUTER AND INFORMATION SYSTEMS,Computers & Mathematics
+2101,COMPUTER PROGRAMMING AND DATA PROCESSING,Computers & Mathematics
+2102,COMPUTER SCIENCE,Computers & Mathematics
+2105,INFORMATION SCIENCES,Computers & Mathematics
+2106,COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY,Computers & Mathematics
+2107,COMPUTER NETWORKING AND TELECOMMUNICATIONS,Computers & Mathematics
+3700,MATHEMATICS,Computers & Mathematics
+3701,APPLIED MATHEMATICS,Computers & Mathematics
+3702,STATISTICS AND DECISION SCIENCE,Computers & Mathematics
+4005,MATHEMATICS AND COMPUTER SCIENCE,Computers & Mathematics
+2300,GENERAL EDUCATION,Education
+2301,EDUCATIONAL ADMINISTRATION AND SUPERVISION,Education
+2303,SCHOOL STUDENT COUNSELING,Education
+2304,ELEMENTARY EDUCATION,Education
+2305,MATHEMATICS TEACHER EDUCATION,Education
+2306,PHYSICAL AND HEALTH EDUCATION TEACHING,Education
+2307,EARLY CHILDHOOD EDUCATION,Education
+2308,SCIENCE AND COMPUTER TEACHER EDUCATION,Education
+2309,SECONDARY TEACHER EDUCATION,Education
+2310,SPECIAL NEEDS EDUCATION,Education
+2311,SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION,Education
+2312,TEACHER EDUCATION: MULTIPLE LEVELS,Education
+2313,LANGUAGE AND DRAMA EDUCATION,Education
+2314,ART AND MUSIC EDUCATION,Education
+2399,MISCELLANEOUS EDUCATION,Education
+3501,LIBRARY SCIENCE,Education
+1401,ARCHITECTURE,Engineering
+2400,GENERAL ENGINEERING,Engineering
+2401,AEROSPACE ENGINEERING,Engineering
+2402,BIOLOGICAL ENGINEERING,Engineering
+2403,ARCHITECTURAL ENGINEERING,Engineering
+2404,BIOMEDICAL ENGINEERING,Engineering
+2405,CHEMICAL ENGINEERING,Engineering
+2406,CIVIL ENGINEERING,Engineering
+2407,COMPUTER ENGINEERING,Engineering
+2408,ELECTRICAL ENGINEERING,Engineering
+2409,ENGINEERING MECHANICS PHYSICS AND SCIENCE,Engineering
+2410,ENVIRONMENTAL ENGINEERING,Engineering
+2411,GEOLOGICAL AND GEOPHYSICAL ENGINEERING,Engineering
+2412,INDUSTRIAL AND MANUFACTURING ENGINEERING,Engineering
+2413,MATERIALS ENGINEERING AND MATERIALS SCIENCE,Engineering
+2414,MECHANICAL ENGINEERING,Engineering
+2415,METALLURGICAL ENGINEERING,Engineering
+2416,MINING AND MINERAL ENGINEERING,Engineering
+2417,NAVAL ARCHITECTURE AND MARINE ENGINEERING,Engineering
+2418,NUCLEAR ENGINEERING,Engineering
+2419,PETROLEUM ENGINEERING,Engineering
+2499,MISCELLANEOUS ENGINEERING,Engineering
+2500,ENGINEERING TECHNOLOGIES,Engineering
+2501,ENGINEERING AND INDUSTRIAL MANAGEMENT,Engineering
+2502,ELECTRICAL ENGINEERING TECHNOLOGY,Engineering
+2503,INDUSTRIAL PRODUCTION TECHNOLOGIES,Engineering
+2504,MECHANICAL ENGINEERING RELATED TECHNOLOGIES,Engineering
+2599,MISCELLANEOUS ENGINEERING TECHNOLOGIES,Engineering
+5008,MATERIALS SCIENCE,Engineering
+4002,NUTRITION SCIENCES,Health
+6100,GENERAL MEDICAL AND HEALTH SERVICES,Health
+6102,COMMUNICATION DISORDERS SCIENCES AND SERVICES,Health
+6103,HEALTH AND MEDICAL ADMINISTRATIVE SERVICES,Health
+6104,MEDICAL ASSISTING SERVICES,Health
+6105,MEDICAL TECHNOLOGIES TECHNICIANS,Health
+6106,HEALTH AND MEDICAL PREPARATORY PROGRAMS,Health
+6107,NURSING,Health
+6108,PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION,Health
+6109,TREATMENT THERAPY PROFESSIONS,Health
+6110,COMMUNITY AND PUBLIC HEALTH,Health
+6199,MISCELLANEOUS HEALTH MEDICAL PROFESSIONS,Health
+1501,AREA ETHNIC AND CIVILIZATION STUDIES,Humanities & Liberal Arts
+2601,LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE,Humanities & Liberal Arts
+2602,FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES,Humanities & Liberal Arts
+2603,OTHER FOREIGN LANGUAGES,Humanities & Liberal Arts
+3301,ENGLISH LANGUAGE AND LITERATURE,Humanities & Liberal Arts
+3302,COMPOSITION AND RHETORIC,Humanities & Liberal Arts
+3401,LIBERAL ARTS,Humanities & Liberal Arts
+3402,HUMANITIES,Humanities & Liberal Arts
+4001,INTERCULTURAL AND INTERNATIONAL STUDIES,Humanities & Liberal Arts
+4801,PHILOSOPHY AND RELIGIOUS STUDIES,Humanities & Liberal Arts
+4901,THEOLOGY AND RELIGIOUS VOCATIONS,Humanities & Liberal Arts
+5502,ANTHROPOLOGY AND ARCHEOLOGY,Humanities & Liberal Arts
+6006,ART HISTORY AND CRITICISM,Humanities & Liberal Arts
+6402,HISTORY,Humanities & Liberal Arts
+6403,UNITED STATES HISTORY,Humanities & Liberal Arts
+2201,COSMETOLOGY SERVICES AND CULINARY ARTS,Industrial Arts & Consumer Services
+2901,FAMILY AND CONSUMER SCIENCES,Industrial Arts & Consumer Services
+3801,MILITARY TECHNOLOGIES,Industrial Arts & Consumer Services
+4101,PHYSICAL FITNESS PARKS RECREATION AND LEISURE,Industrial Arts & Consumer Services
+5601,CONSTRUCTION SERVICES,Industrial Arts & Consumer Services
+5701,"ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION",Industrial Arts & Consumer Services
+5901,TRANSPORTATION SCIENCES AND TECHNOLOGIES,Industrial Arts & Consumer Services
+4000,MULTI/INTERDISCIPLINARY STUDIES,Interdisciplinary
+3201,COURT REPORTING,Law & Public Policy
+3202,PRE-LAW AND LEGAL STUDIES,Law & Public Policy
+5301,CRIMINAL JUSTICE AND FIRE PROTECTION,Law & Public Policy
+5401,PUBLIC ADMINISTRATION,Law & Public Policy
+5402,PUBLIC POLICY,Law & Public Policy
+bbbb ,N/A (less than bachelor's degree),NA
+5000,PHYSICAL SCIENCES,Physical Sciences
+5001,ASTRONOMY AND ASTROPHYSICS,Physical Sciences
+5002,ATMOSPHERIC SCIENCES AND METEOROLOGY,Physical Sciences
+5003,CHEMISTRY,Physical Sciences
+5004,GEOLOGY AND EARTH SCIENCE,Physical Sciences
+5005,GEOSCIENCES,Physical Sciences
+5006,OCEANOGRAPHY,Physical Sciences
+5007,PHYSICS,Physical Sciences
+5098,MULTI-DISCIPLINARY OR GENERAL SCIENCE,Physical Sciences
+5102,"NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES",Physical Sciences
+5200,PSYCHOLOGY,Psychology & Social Work
+5201,EDUCATIONAL PSYCHOLOGY,Psychology & Social Work
+5202,CLINICAL PSYCHOLOGY,Psychology & Social Work
+5203,COUNSELING PSYCHOLOGY,Psychology & Social Work
+5205,INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY,Psychology & Social Work
+5206,SOCIAL PSYCHOLOGY,Psychology & Social Work
+5299,MISCELLANEOUS PSYCHOLOGY,Psychology & Social Work
+5403,HUMAN SERVICES AND COMMUNITY ORGANIZATION,Psychology & Social Work
+5404,SOCIAL WORK,Psychology & Social Work
+4007,INTERDISCIPLINARY SOCIAL SCIENCES,Social Science
+5500,GENERAL SOCIAL SCIENCES,Social Science
+5501,ECONOMICS,Social Science
+5503,CRIMINOLOGY,Social Science
+5504,GEOGRAPHY,Social Science
+5505,INTERNATIONAL RELATIONS,Social Science
+5506,POLITICAL SCIENCE AND GOVERNMENT,Social Science
+5507,SOCIOLOGY,Social Science
+5599,MISCELLANEOUS SOCIAL SCIENCES,Social Science

college-majors/readme.MD

@@ -0,0 +1,46 @@
+This repo contains the data and code for FiveThirtyEight's story on earnings of college majors.
+All data is from American Community Survey 2010-2012 Public Use Microdata Series.
+Download data here:  http://www.census.gov/acs/www/data_documentation/pums_data/
+Documentation here: http://www.census.gov/acs/www/data_documentation/pums_documentation/
+
+college-majors-rscript.R:
+- My R script for parsing the data. 
+- Assumes you've already downloaded the data and selected only records with non-NA values for college major (FOD1P)
+- Outputs data to csv
+
+majors-list.csv:
+- List of majors with their FOD1P codes and major categories.
+- Major categories are from Carnevale et al, "What's It Worth?: The Economic Value of College Majors." Georgetown University Center on Education and the Workforce, 2011. http://cew.georgetown.edu/whatsitworth
+
+Three data files:
+- all-ages.csv
+- recent-grads.csv (ages <28)
+- grad-students.csv (ages 25+)
+All contain basic earnings and labor force information. 
+recent-grads contains more detailed breakdown, including by sex and by the type of job they got. Full headers below.
+grad-students contains details on graduate school attendees.
+
+Headers for  recent-grads.csv
+Header | Description
+---|---------|
+Rank | Rank by median earnings
+Major_code | Major code, FO1DP in ACS PUMS
+Major | Major description
+Major_category | Category of major from Carnevale et al
+Total | Total number of people with major
+Sample_size | Sample size (unweighted) of full-time, year-round ONLY (used for earnings)
+Men | Male graduates
+Women | Female graduates
+ShareWomen | Women as share of total
+Employed | Number employed (ESR == 1 or 2)
+Full_time | Employed 35 hours or more
+Part_time | Employed less than 35 hours
+Full_time_year_round | Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)
+Unemployed | Number unemployed (ESR == 3)
+Unemployment_rate | Unemployed / (Unemployed + Employed)
+Median | Median earnings of full-time, year-round workers
+P25th | 25th percentile of earnigns
+P75th | 75th percentile of earnings
+College_jobs | Number with job requiring a college degree
+Non_college_jobs | Number with job not requiring a college degree
+Low_wage_jobs | Number in low-wage service jobs

college-majors/recent-grads.csv

@@ -0,0 +1,174 @@
+Rank,Major_code,Major,Major_category,Total,Sample_size,Men,Women,ShareWomen,Employed,Full_time,Part_time,Full_time_year_round,Unemployed,Unemployment_rate,Median,P25th,P75th,College_jobs,Non_college_jobs,Low_wage_jobs
+1,2419,PETROLEUM ENGINEERING,Engineering,2339,36,2057,282,0.120564344,1976,1849,270,1207,37,0.018380527,110000,95000,125000,1534,364,193
+2,2416,MINING AND MINERAL ENGINEERING,Engineering,756,7,679,77,0.101851852,640,556,170,388,85,0.117241379,75000,55000,90000,350,257,50
+3,2415,METALLURGICAL ENGINEERING,Engineering,856,3,725,131,0.153037383,648,558,133,340,16,0.024096386,73000,50000,105000,456,176,0
+4,2417,NAVAL ARCHITECTURE AND MARINE ENGINEERING,Engineering,1258,16,1123,135,0.107313196,758,1069,150,692,40,0.050125313,70000,43000,80000,529,102,0
+5,2405,CHEMICAL ENGINEERING,Engineering,32260,289,21239,11021,0.341630502,25694,23170,5180,16697,1672,0.061097712,65000,50000,75000,18314,4440,972
+6,2418,NUCLEAR ENGINEERING,Engineering,2573,17,2200,373,0.144966965,1857,2038,264,1449,400,0.177226407,65000,50000,102000,1142,657,244
+7,6202,ACTUARIAL SCIENCE,Business,3777,51,832,960,0.535714286,2912,2924,296,2482,308,0.095652174,62000,53000,72000,1768,314,259
+8,5001,ASTRONOMY AND ASTROPHYSICS,Physical Sciences,1792,10,2110,1667,0.441355573,1526,1085,553,827,33,0.021167415,62000,31500,109000,972,500,220
+9,2414,MECHANICAL ENGINEERING,Engineering,91227,1029,12953,2105,0.139792801,76442,71298,13101,54639,4650,0.057342278,60000,48000,70000,52844,16384,3253
+10,2408,ELECTRICAL ENGINEERING,Engineering,81527,631,8407,6548,0.437846874,61928,55450,12695,41413,3895,0.059173845,60000,45000,72000,45829,10874,3170
+11,2407,COMPUTER ENGINEERING,Engineering,41542,399,33258,8284,0.199412643,32506,30315,5146,23621,2275,0.065409275,60000,45000,75000,23694,5721,980
+12,2401,AEROSPACE ENGINEERING,Engineering,15058,147,65511,16016,0.196450256,11391,11106,2724,8790,794,0.065162085,60000,42000,70000,8184,2425,372
+13,2404,BIOMEDICAL ENGINEERING,Engineering,14955,79,80320,10907,0.119558903,10047,9017,2694,5986,1019,0.09208386,60000,36000,70000,6439,2471,789
+14,5008,MATERIALS SCIENCE,Engineering,4279,22,2949,1330,0.310820285,3307,2751,878,1967,78,0.023042836,60000,39000,65000,2626,391,81
+15,2409,ENGINEERING MECHANICS PHYSICS AND SCIENCE,Engineering,4321,30,3526,795,0.183985189,3608,2999,811,2004,23,0.006334343,58000,25000,74000,2439,947,263
+16,2402,BIOLOGICAL ENGINEERING,Engineering,8925,55,6062,2863,0.320784314,6170,5455,1983,3413,589,0.087143069,57100,40000,76000,3603,1595,524
+17,2412,INDUSTRIAL AND MANUFACTURING ENGINEERING,Engineering,18968,183,12453,6515,0.343473218,15604,14879,2243,11326,699,0.042875544,57000,37900,67000,8306,3235,640
+18,2400,GENERAL ENGINEERING,Engineering,61152,425,45683,15469,0.252959838,44931,41235,7199,33540,2859,0.059824231,56000,36000,69000,26898,11734,3192
+19,2403,ARCHITECTURAL ENGINEERING,Engineering,2825,26,1835,990,0.350442478,2575,2277,343,1848,170,0.061930783,54000,38000,65000,1665,649,137
+20,3201,COURT REPORTING,Law & Public Policy,1148,14,877,271,0.236062718,930,808,223,808,11,0.011689692,54000,50000,54000,402,528,144
+21,2102,COMPUTER SCIENCE,Computers & Mathematics,128319,1196,1837,2524,0.578766338,102087,91485,18726,70932,6884,0.063172771,53000,39000,70000,68622,25667,5144
+22,1104,FOOD SCIENCE,Agriculture & Natural Resources,4361,36,99743,28576,0.222695002,3149,2558,1121,1735,338,0.09693146,53000,32000,70000,1183,1274,485
+23,2502,ELECTRICAL ENGINEERING TECHNOLOGY,Engineering,11565,97,2020,973,0.325091881,8587,7530,1873,5681,824,0.087557114,52000,35000,60000,5126,2686,696
+24,2413,MATERIALS ENGINEERING AND MATERIALS SCIENCE,Engineering,2993,22,8181,3384,0.292607004,2449,1658,1040,1151,70,0.027788805,52000,35000,62000,1911,305,70
+25,6212,MANAGEMENT INFORMATION SYSTEMS AND STATISTICS,Business,18713,278,13496,5217,0.278790146,16413,15141,2420,13017,1015,0.058239614,51000,38000,60000,6342,5741,708
+26,2406,CIVIL ENGINEERING,Engineering,53153,565,41081,12072,0.227117943,43041,38302,10080,29196,3270,0.070609574,50000,40000,60000,28526,9356,2899
+27,5601,CONSTRUCTION SERVICES,Industrial Arts & Consumer Services,18498,295,2662,1385,0.342228811,16318,15690,1751,12313,1042,0.060023041,50000,36000,60000,3275,5351,703
+28,6204,OPERATIONS LOGISTICS AND E-COMMERCE,Business,11732,156,488,232,0.322222222,10027,9639,1183,7724,504,0.047858703,50000,40000,60000,1466,3629,285
+29,2499,MISCELLANEOUS ENGINEERING,Engineering,9133,118,7398,1735,0.189970437,7428,6811,1662,5476,597,0.074392523,50000,39000,65000,3445,2426,365
+30,5402,PUBLIC POLICY,Law & Public Policy,5978,55,2695,905,0.251388889,4547,4163,1306,2776,670,0.128426299,50000,35000,70000,1550,1871,340
+31,2410,ENVIRONMENTAL ENGINEERING,Engineering,4047,26,2639,3339,0.558548009,2983,2384,930,1951,308,0.093588575,50000,42000,56000,2028,830,260
+32,2500,ENGINEERING TECHNOLOGIES,Engineering,3600,39,16820,1678,0.090712509,2799,2257,689,1723,163,0.055030385,50000,43000,60000,1017,1269,142
+33,6099,MISCELLANEOUS FINE ARTS,Arts,3340,30,1970,1370,0.410179641,2914,2049,1067,1200,286,0.089375,50000,25000,66000,693,1714,755
+34,2411,GEOLOGICAL AND GEOPHYSICAL ENGINEERING,Engineering,720,5,7921,3811,0.32483805,604,524,126,396,49,0.075038285,50000,42800,57000,501,50,49
+35,6107,NURSING,Health,209394,2554,21773,187621,0.896018988,180903,151191,40818,122817,8497,0.044862724,48000,39000,58000,151643,26146,6193
+36,6207,FINANCE,Business,174506,2189,89749,49498,0.355469059,145696,137921,21463,108595,9413,0.060686356,47000,35000,64000,24243,48447,9910
+37,5501,ECONOMICS,Social Science,139247,1322,115030,59476,0.340824957,104117,96567,25325,70740,11452,0.099092317,47000,35000,65000,25582,37057,10653
+38,6205,BUSINESS ECONOMICS,Business,13302,199,3477,1154,0.24919024,10914,10048,1937,8000,1165,0.096448381,46000,33000,58000,1578,4612,1284
+39,2503,INDUSTRIAL PRODUCTION TECHNOLOGIES,Engineering,4631,73,528,1588,0.75047259,4428,3988,597,3242,129,0.028308097,46000,35000,65000,1394,2454,480
+40,5102,"NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES",Physical Sciences,2116,31,7575,5727,0.430536761,1778,1392,579,1115,137,0.07154047,46000,38000,53000,162,1475,124
+41,6201,ACCOUNTING,Business,198633,2042,27392,9306,0.253583302,165527,151967,27693,123169,12411,0.069749014,45000,34000,56000,11417,39323,10886
+42,3700,MATHEMATICS,Computers & Mathematics,72397,541,9005,2908,0.244103081,58118,46399,18079,33738,2884,0.047277138,45000,33000,60000,34800,14829,4569
+43,2100,COMPUTER AND INFORMATION SYSTEMS,Computers & Mathematics,36698,425,515,1247,0.707718502,28459,26348,4332,21130,2934,0.093460326,45000,30000,60000,13344,11783,1672
+44,5007,PHYSICS,Physical Sciences,32142,142,39956,32441,0.448098678,25302,19428,8721,14389,1282,0.048224496,45000,30000,68000,18674,4576,1823
+45,6105,MEDICAL TECHNOLOGIES TECHNICIANS,Health,15914,190,2794,2145,0.434298441,13150,11510,2665,9005,505,0.03698279,45000,36000,50000,5546,7176,1002
+46,2105,INFORMATION SCIENCES,Computers & Mathematics,11913,158,2960,3291,0.526475764,9881,9105,1468,7378,639,0.060741445,45000,32500,58000,4390,4102,608
+47,3702,STATISTICS AND DECISION SCIENCE,Computers & Mathematics,6251,37,23080,9062,0.281936407,4247,3190,1840,2151,401,0.086273666,45000,26700,60000,2298,1200,343
+48,3701,APPLIED MATHEMATICS,Computers & Mathematics,4939,45,3916,11998,0.75392736,3854,3465,1176,2593,385,0.090823307,45000,34000,63000,2437,803,357
+49,3607,PHARMACOLOGY,Biology & Life Science,1762,3,94519,104114,0.524152583,1144,657,532,565,107,0.085531575,45000,40000,45000,603,478,93
+50,5006,OCEANOGRAPHY,Physical Sciences,2418,36,752,1666,0.688999173,1638,1931,379,1595,99,0.056994819,44700,23000,50000,459,996,186
+51,2501,ENGINEERING AND INDUSTRIAL MANAGEMENT,Engineering,2906,29,2400,506,0.174122505,2125,1992,462,1358,74,0.03365166,44000,30000,50000,482,844,245
+52,6104,MEDICAL ASSISTING SERVICES,Health,11123,67,500,109,0.178981938,9168,5643,4107,4290,407,0.042506527,42000,30000,65000,2091,6948,1270
+53,4005,MATHEMATICS AND COMPUTER SCIENCE,Computers & Mathematics,609,7,803,10320,0.927807246,559,584,0,391,0,0,42000,30000,78000,452,67,25
+54,2101,COMPUTER PROGRAMMING AND DATA PROCESSING,Computers & Mathematics,4168,43,3046,1122,0.269193858,3257,3204,482,2453,419,0.11398259,41300,20000,46000,2024,1033,263
+55,4006,COGNITIVE SCIENCE AND BIOPSYCHOLOGY,Biology & Life Science,3831,25,119,699,0.854523227,2741,2470,711,1584,223,0.075236167,41000,20000,60000,1369,921,135
+56,2303,SCHOOL STUDENT COUNSELING,Education,818,4,1667,2164,0.56486557,730,595,135,545,88,0.107579462,41000,41000,43000,509,221,0
+57,5505,INTERNATIONAL RELATIONS,Social Science,28187,219,10345,17842,0.632986838,21190,18681,5563,13583,2271,0.096798943,40100,31200,53000,6774,9570,2499
+58,6200,GENERAL BUSINESS,Business,234590,2380,6053,4346,0.4179248,190183,171385,36241,138299,14946,0.072861468,40000,30000,55000,29334,100831,27320
+59,1401,ARCHITECTURE,Engineering,46420,362,9658,4582,0.321769663,34158,29223,10206,20026,4366,0.113331949,40000,31000,50000,16178,13724,4221
+60,6210,INTERNATIONAL BUSINESS,Business,25894,260,1749,690,0.282902829,19660,17563,4890,12823,2092,0.096175064,40000,30000,50000,3383,9482,3046
+61,6108,PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION,Health,23551,38,25463,20957,0.451464886,16620,12537,5346,9131,977,0.055520827,40000,20000,90000,11573,4493,1121
+62,3603,MOLECULAR BIOLOGY,Biology & Life Science,18300,90,4419,371,0.077453027,11581,9441,4590,6183,1067,0.084361164,40000,29000,47000,7225,3145,1168
+63,6299,MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION,Business,17947,244,7043,1761,0.200022717,14826,13364,3366,10637,1150,0.071982974,40000,30000,51000,2236,8937,1758
+64,1101,AGRICULTURE PRODUCTION AND MANAGEMENT,Agriculture & Natural Resources,14240,273,7426,10874,0.59420765,12323,11119,2196,9093,649,0.050030836,40000,25000,50000,1925,6221,1362
+65,1100,GENERAL AGRICULTURE,Agriculture & Natural Resources,10399,158,1761,1874,0.515543329,8884,7589,2031,5888,178,0.019642463,40000,30000,50000,2418,4717,839
+66,2599,MISCELLANEOUS ENGINEERING TECHNOLOGIES,Engineering,8804,125,124,0,0,7502,7001,1240,5825,416,0.05253852,40000,30400,56000,2446,3896,386
+67,2504,MECHANICAL ENGINEERING RELATED TECHNOLOGIES,Engineering,4790,71,894,542,0.377437326,4186,4175,247,3607,250,0.056357078,40000,27000,52000,1861,2121,406
+68,3605,GENETICS,Biology & Life Science,3635,11,1075,1939,0.643331121,2463,1787,847,1487,87,0.034117647,40000,34000,45000,1675,678,201
+69,5599,MISCELLANEOUS SOCIAL SCIENCES,Social Science,3283,28,1499,1784,0.543405422,2727,2183,907,1530,215,0.073079538,40000,30000,54000,744,1654,573
+70,6403,UNITED STATES HISTORY,Humanities & Liberal Arts,3079,22,8697,14854,0.630716318,2787,2103,839,1274,138,0.047179487,40000,30000,42000,801,1591,302
+71,5205,INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY,Psychology & Social Work,3014,24,132238,102352,0.436301633,2343,1644,1095,1409,286,0.108786611,40000,32000,53000,559,1224,272
+72,1102,AGRICULTURAL ECONOMICS,Agriculture & Natural Resources,2439,44,10624,15270,0.589711902,2174,1819,620,1528,182,0.077249576,40000,27000,54000,535,893,94
+73,5000,PHYSICAL SCIENCES,Physical Sciences,1436,10,10285,7662,0.42692372,1146,768,437,653,42,0.035353535,40000,30000,55000,530,465,269
+74,3801,MILITARY TECHNOLOGIES,Industrial Arts & Consumer Services,124,4,1756,1323,0.429684963,0,111,0,111,0,NA,40000,40000,40000,0,0,0
+75,5003,CHEMISTRY,Physical Sciences,66530,353,32923,33607,0.505140538,48535,39509,15066,29910,2769,0.0539724,39000,30000,49900,30382,14718,4288
+76,5701,"ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION",Industrial Arts & Consumer Services,2435,37,1869,566,0.232443532,2107,2057,287,1752,64,0.029479503,38400,22500,45000,221,1659,81
+77,6203,BUSINESS MANAGEMENT AND ADMINISTRATION,Business,329927,4212,6383,8849,0.580948004,276234,251540,50357,199897,21502,0.072218341,38000,29000,50000,36720,148395,32395
+78,6206,MARKETING AND MARKETING RESEARCH,Business,205211,2684,11404,7076,0.382900433,178862,156668,35829,127230,11663,0.061215064,38000,30000,50000,25320,93889,27968
+79,5506,POLITICAL SCIENCE AND GOVERNMENT,Social Science,182621,1387,93880,88741,0.485929877,133454,117709,43711,83236,15022,0.101174601,38000,28000,50000,36854,66947,19803
+80,5504,GEOGRAPHY,Social Science,18480,179,173809,156118,0.473189524,14057,11367,5651,8628,1799,0.113458628,38000,30000,50000,5350,6830,1905
+81,3606,MICROBIOLOGY,Biology & Life Science,15232,62,78857,126354,0.615727227,9685,7453,3379,5080,693,0.066775872,38000,29600,50000,5577,3174,1246
+82,2106,COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY,Computers & Mathematics,8066,103,6607,1459,0.180882718,6509,6289,1030,4936,721,0.099723375,37500,25000,50000,2354,3244,308
+83,3601,BIOCHEMICAL SCIENCES,Biology & Life Science,39107,174,18951,20156,0.515406449,25678,20643,9948,13785,2249,0.080531385,37400,29000,50000,15654,8394,3012
+84,3602,BOTANY,Biology & Life Science,1329,9,626,703,0.52896915,1010,946,169,740,0,0,37000,26000,40000,677,184,56
+85,2107,COMPUTER NETWORKING AND TELECOMMUNICATIONS,Computers & Mathematics,7613,97,5291,2322,0.305004597,6144,5495,1447,4369,1100,0.151849807,36400,27000,49000,2593,2941,352
+86,5004,GEOLOGY AND EARTH SCIENCE,Physical Sciences,10972,78,5813,5159,0.470196865,8296,6966,2913,5008,677,0.075448568,36200,28000,47000,4858,2792,959
+87,6209,HUMAN RESOURCES AND PERSONNEL MANAGEMENT,Business,24497,264,4435,9093,0.672161443,20760,18550,3767,15446,1315,0.059569649,36000,28000,45000,2406,9629,1906
+88,3202,PRE-LAW AND LEGAL STUDIES,Law & Public Policy,13528,92,809,1169,0.591001011,9762,7851,3595,5370,757,0.071965016,36000,29200,46000,2002,6454,1336
+89,6199,MISCELLANEOUS HEALTH MEDICAL PROFESSIONS,Health,13386,81,413,973,0.702020202,10076,7514,4145,5868,893,0.08141125,36000,23000,42000,5652,3835,1422
+90,5401,PUBLIC ADMINISTRATION,Law & Public Policy,5629,46,2947,2682,0.476461183,4158,4148,847,2952,789,0.1594906,36000,23000,60000,919,2313,496
+91,5005,GEOSCIENCES,Physical Sciences,1978,18,1589,11797,0.881293889,1441,1264,354,1011,36,0.024373731,36000,21000,41000,784,591,221
+92,5206,SOCIAL PSYCHOLOGY,Psychology & Social Work,1386,8,6184,18313,0.747560926,1080,828,433,529,33,0.029649596,36000,34000,45000,434,593,37
+93,1301,ENVIRONMENTAL SCIENCE,Biology & Life Science,25965,225,10787,15178,0.584556133,20859,16987,7071,10916,1779,0.078584681,35600,25000,40200,8149,10076,3175
+94,1901,COMMUNICATIONS,Communications & Journalism,213996,2394,476,209,0.305109489,179633,147335,49889,116251,14602,0.075176976,35000,27000,45000,40763,97964,27440
+95,5301,CRIMINAL JUSTICE AND FIRE PROTECTION,Law & Public Policy,152824,1728,3156,451,0.125034655,125393,109970,32242,88548,11268,0.082452199,35000,26000,45000,24348,88858,18404
+96,6004,COMMERCIAL ART AND GRAPHIC DESIGN,Arts,103480,1186,8617,5156,0.374355623,83483,67448,24387,52243,8947,0.096797577,35000,25000,45000,37389,38119,14839
+97,1902,JOURNALISM,Communications & Journalism,72619,843,8739,22456,0.719858952,61022,51411,15902,39524,4535,0.069176442,35000,26000,42900,23279,26672,8512
+98,5098,MULTI-DISCIPLINARY OR GENERAL SCIENCE,Physical Sciences,62052,427,70619,143377,0.669998505,46138,37850,13133,28966,2727,0.055806815,35000,24000,50000,17923,22039,5751
+99,1904,ADVERTISING AND PUBLIC RELATIONS,Communications & Journalism,53162,681,23736,48883,0.673143392,45326,38815,10948,30932,3305,0.067960766,35000,27000,47000,9659,23059,7214
+100,1501,AREA ETHNIC AND CIVILIZATION STUDIES,Humanities & Liberal Arts,31195,249,12862,40300,0.758060269,24629,18755,9541,13109,1668,0.063429289,35000,24500,44000,8465,11818,3677
+101,2310,SPECIAL NEEDS EDUCATION,Education,28739,246,11431,6604,0.366176878,24639,21584,5153,16642,1067,0.041507819,35000,32000,42000,20185,3797,1179
+102,3608,PHYSIOLOGY,Biology & Life Science,22060,99,2682,26057,0.906677337,14643,10732,6541,7588,1088,0.0691628,35000,20000,50000,6587,6894,2237
+103,5503,CRIMINOLOGY,Social Science,19879,214,8422,13638,0.618223028,16181,13616,4543,10548,1743,0.097243919,35000,25000,45000,3373,10605,1895
+104,4002,NUTRITION SCIENCES,Health,18909,118,4944,8719,0.63814682,13217,9601,6648,6625,975,0.068700676,35000,26000,45000,6535,5473,2449
+105,6103,HEALTH AND MEDICAL ADMINISTRATIVE SERVICES,Health,18109,184,2817,9479,0.770901106,15419,13534,3299,10982,1518,0.089626262,35000,27000,42000,2589,8592,1391
+106,2001,COMMUNICATION TECHNOLOGIES,Computers & Mathematics,18035,208,2563,16346,0.864456079,14779,11981,4690,9085,2006,0.119511469,35000,25000,45000,4545,8794,2495
+107,5901,TRANSPORTATION SCIENCES AND TECHNOLOGIES,Industrial Arts & Consumer Services,15150,180,2744,1299,0.321296067,12266,11688,2633,9170,962,0.072724524,35000,22000,52000,4575,6147,557
+108,1303,NATURAL RESOURCES MANAGEMENT,Agriculture & Natural Resources,13773,152,27015,35037,0.564639335,11797,10722,2613,6954,842,0.066619195,35000,25000,42000,4333,5808,1405
+109,3611,NEUROSCIENCE,Biology & Life Science,13663,53,80231,72593,0.47501047,9087,8027,3078,5482,463,0.048481675,35000,30000,44000,5605,2301,902
+110,4000,MULTI/INTERDISCIPLINARY STUDIES,Interdisciplinary,12296,128,10031,9848,0.495397153,9821,8032,3173,6234,749,0.070860927,35000,25000,44000,5176,3903,1061
+111,5002,ATMOSPHERIC SCIENCES AND METEOROLOGY,Physical Sciences,4043,32,13257,1893,0.124950495,3431,2659,1309,2161,78,0.022228555,35000,28000,50000,1808,1317,237
+112,1302,FORESTRY,Agriculture & Natural Resources,3607,48,32041,71439,0.690365288,3007,2473,891,1763,322,0.096725743,35000,28600,48000,1096,1692,327
+113,1106,SOIL SCIENCE,Agriculture & Natural Resources,685,4,4266,13843,0.764426528,613,488,185,383,0,0,35000,18500,44000,355,144,0
+114,2300,GENERAL EDUCATION,Education,143718,919,26893,116825,0.812876606,118241,98408,29558,73531,7195,0.057359929,34000,26000,41000,82007,31112,11443
+115,6402,HISTORY,Humanities & Liberal Arts,141951,1058,280,524,0.651741294,105646,84681,40657,59218,11176,0.095666912,34000,25000,47000,35336,54569,16839
+116,2602,FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES,Humanities & Liberal Arts,48246,342,3872,10365,0.728032591,38315,29340,14569,20056,3132,0.075566386,34000,25000,45000,15051,18193,5267
+117,4001,INTERCULTURAL AND INTERNATIONAL STUDIES,Humanities & Liberal Arts,24650,184,9950,10248,0.507376968,18824,14354,7978,8801,1718,0.083633531,34000,24000,45000,4956,10343,3168
+118,2311,SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION,Education,20198,157,12835,35411,0.733967583,17700,14002,5168,8871,1012,0.054082941,34000,23050,42000,10928,5561,1806
+119,6110,COMMUNITY AND PUBLIC HEALTH,Health,19735,130,8575,16075,0.652129817,14512,10099,6377,7460,1833,0.112144387,34000,21000,45000,5225,7385,1854
+120,2305,MATHEMATICS TEACHER EDUCATION,Education,14237,123,4103,15632,0.792095262,13115,11259,2273,8073,216,0.016202835,34000,30000,40000,10699,1977,786
+121,2301,EDUCATIONAL ADMINISTRATION AND SUPERVISION,Education,804,5,78253,63698,0.448732309,703,733,0,504,0,0,34000,29000,35000,346,206,111
+122,6106,HEALTH AND MEDICAL PREPARATORY PROGRAMS,Health,12740,31,4747,5959,0.556603774,7052,5029,3891,3236,529,0.069779712,33500,23000,40000,3051,3539,1159
+123,3699,MISCELLANEOUS BIOLOGY,Biology & Life Science,10706,63,5521,7219,0.566640502,7767,6076,2568,4542,483,0.058545455,33500,23000,48000,4253,2722,459
+124,3600,BIOLOGY,Biology & Life Science,280709,1370,111762,168947,0.601858152,182295,144512,72371,100336,13874,0.070724732,33400,24000,45000,88232,81109,28339
+125,5507,SOCIOLOGY,Social Science,115433,1024,24704,28120,0.532333788,92721,73475,29639,56561,8608,0.084951001,33000,25000,44000,29051,48899,13748
+126,1903,MASS MEDIA,Communications & Journalism,52824,590,3741,26730,0.877227528,44679,35769,13078,27521,4410,0.089836827,33000,25000,45000,12855,25297,6429
+127,6109,TREATMENT THERAPY PROFESSIONS,Health,48491,224,3654,6496,0.64,37861,30020,12346,21735,2409,0.059821207,33000,24000,41000,22215,14616,4468
+128,6211,HOSPITALITY MANAGEMENT,Business,43647,546,4416,12185,0.733991928,36728,32160,7494,23106,2393,0.061169193,33000,25000,42000,2325,23341,9063
+129,2313,LANGUAGE AND DRAMA EDUCATION,Education,30471,235,3878,5276,0.576360061,26033,21419,7239,15266,1379,0.050306435,33000,24000,40000,17985,6824,2819
+130,2601,LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE,Humanities & Liberal Arts,16601,88,2337,7579,0.76432029,11165,8462,4831,5821,1302,0.10443571,33000,25000,40000,4122,5695,2085
+131,2399,MISCELLANEOUS EDUCATION,Education,10150,126,32510,82923,0.718364766,8691,7264,2202,5816,547,0.059211951,33000,30000,45000,5284,2438,657
+132,4007,INTERDISCIPLINARY SOCIAL SCIENCES,Social Science,9916,95,13487,35004,0.721865913,7444,5843,2834,4714,757,0.092305816,33000,24000,40000,2630,3906,1470
+133,3604,ECOLOGY,Biology & Life Science,9154,86,15204,28443,0.651659908,7585,5603,2741,3912,437,0.054475193,33000,23000,42000,2856,4159,976
+134,2309,SECONDARY TEACHER EDUCATION,Education,17125,156,6820,10305,0.601751825,15116,12520,3782,9193,833,0.05222898,32500,25000,38000,10304,3967,1385
+135,6100,GENERAL MEDICAL AND HEALTH SERVICES,Health,33599,202,7574,26025,0.774576624,24406,18166,11088,12809,2183,0.082101621,32400,25000,45000,9364,12889,3816
+136,4801,PHILOSOPHY AND RELIGIOUS STUDIES,Humanities & Liberal Arts,54814,375,31967,22847,0.416809574,40157,31086,16659,21816,4267,0.096051684,32200,23000,47100,14444,20313,8051
+137,2314,ART AND MUSIC EDUCATION,Education,34181,338,10732,23449,0.6860244,30007,23018,9209,16537,1206,0.038637747,32100,25000,40000,20821,8260,2767
+138,3301,ENGLISH LANGUAGE AND LITERATURE,Humanities & Liberal Arts,194673,1436,4897,2519,0.339670982,149180,114386,57825,81180,14345,0.08772359,32000,23000,41000,57690,71827,26503
+139,2304,ELEMENTARY EDUCATION,Education,170862,1629,13029,157833,0.923745479,149339,123177,37965,86540,7297,0.046585715,32000,23400,38000,108085,36972,11502
+140,4101,PHYSICAL FITNESS PARKS RECREATION AND LEISURE,Industrial Arts & Consumer Services,125074,1014,2049,4434,0.683942619,103078,77428,38515,57978,5593,0.051467273,32000,24000,43000,27581,63946,16838
+141,3401,LIBERAL ARTS,Humanities & Liberal Arts,71369,569,58227,136446,0.70089843,54844,43401,19187,33438,4657,0.078267592,32000,25000,42000,18565,28558,9030
+142,6005,FILM VIDEO AND PHOTOGRAPHIC ARTS,Arts,38761,331,22339,49030,0.686992952,31433,22457,12818,15740,3718,0.10577224,32000,22000,42000,7368,20721,5862
+143,5500,GENERAL SOCIAL SCIENCES,Social Science,12920,113,62181,62893,0.502846315,9602,7700,3396,5679,1108,0.103454715,32000,27000,50000,3602,4778,1634
+144,1105,PLANT SCIENCE AND AGRONOMY,Agriculture & Natural Resources,7416,110,5079,7841,0.606888545,6594,5798,1246,4522,314,0.045454545,32000,22900,40000,2089,3545,1231
+145,2308,SCIENCE AND COMPUTER TEACHER EDUCATION,Education,6483,59,22357,16404,0.423208896,5362,4764,1227,3247,266,0.047263682,32000,28000,39000,4214,1106,591
+146,5200,PSYCHOLOGY,Psychology & Social Work,393735,2584,86648,307087,0.779933204,307933,233205,115172,174438,28169,0.083810867,31500,24000,41000,125148,141860,48207
+147,6002,MUSIC,Arts,60633,419,15670,12543,0.444582285,47662,29010,24943,21425,3918,0.075959674,31000,22300,42000,13752,28786,9286
+148,2306,PHYSICAL AND HEALTH EDUCATION TEACHING,Education,28213,259,29909,30724,0.506720763,23794,19420,7230,13651,1920,0.074667496,31000,24000,40000,12777,9328,2042
+149,6006,ART HISTORY AND CRITICISM,Humanities & Liberal Arts,21030,204,3240,17790,0.845934379,17579,13262,6140,9965,1128,0.060298284,31000,23000,40000,5139,9738,3426
+150,6000,FINE ARTS,Arts,74440,623,24786,49654,0.667033853,59679,42764,23656,31877,5486,0.084186296,30500,21000,41000,20792,32725,11880
+151,2901,FAMILY AND CONSUMER SCIENCES,Industrial Arts & Consumer Services,58001,518,5347,16226,0.752143884,46624,36747,15872,26906,3355,0.067128194,30000,22900,40000,20985,20133,5248
+152,5404,SOCIAL WORK,Psychology & Social Work,53552,374,2734,11709,0.810704147,45038,34941,13481,27588,3329,0.06882792,30000,25000,35000,27449,14416,4344
+153,1103,ANIMAL SCIENCES,Agriculture & Natural Resources,21573,255,5166,52835,0.91093257,17112,14479,5353,10824,917,0.050862499,30000,22000,40000,5443,9571,2125
+154,6003,VISUAL AND PERFORMING ARTS,Arts,16250,132,2013,4639,0.697384245,12870,8447,6253,6322,1465,0.102197419,30000,22000,40000,3849,7635,2840
+155,2312,TEACHER EDUCATION: MULTIPLE LEVELS,Education,14443,142,1936,7692,0.798919817,13076,11734,2214,8457,496,0.03654583,30000,24000,37000,10766,1949,722
+156,5299,MISCELLANEOUS PSYCHOLOGY,Psychology & Social Work,9628,60,885,8489,0.90558993,7653,5201,3221,3838,419,0.05190783,30000,20800,40000,2960,3948,1650
+157,5403,HUMAN SERVICES AND COMMUNITY ORGANIZATION,Psychology & Social Work,9374,89,5137,48415,0.904074544,8294,6455,2405,5061,326,0.037819026,30000,24000,35000,2878,4595,724
+158,3402,HUMANITIES,Humanities & Liberal Arts,6652,49,4133,12117,0.745661538,5052,3565,2225,2661,372,0.068584071,30000,20000,49000,1168,3354,1141
+159,4901,THEOLOGY AND RELIGIOUS VOCATIONS,Humanities & Liberal Arts,30207,310,404,1084,0.728494624,24202,18079,8767,13944,1617,0.062628297,29000,22000,38000,9927,12037,3304
+160,6007,STUDIO ARTS,Arts,16977,182,4364,6146,0.584776403,13908,10451,5673,7413,1368,0.089552239,29000,19200,38300,3948,8707,3586
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+162,1199,MISCELLANEOUS AGRICULTURE,Agriculture & Natural Resources,1488,24,4754,12223,0.719974083,1290,1098,335,936,82,0.059766764,29000,23000,42100,483,626,31
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+165,2307,EARLY CHILDHOOD EDUCATION,Education,37589,342,1225,37054,0.967998119,32551,27569,7001,20748,1360,0.040104981,28000,21000,35000,23515,7705,2868
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+167,6001,DRAMA AND THEATER ARTS,Arts,43249,357,7022,11931,0.629504564,36165,25147,15994,16891,3040,0.07754113,27000,19200,35000,6994,25313,11068
+168,3302,COMPOSITION AND RHETORIC,Humanities & Liberal Arts,18953,151,14440,28809,0.666119448,15053,10121,6612,7832,1340,0.081742207,27000,20000,35000,4855,8100,3466
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college-majors/women-stem.csv

@@ -0,0 +1,78 @@
+Rank,Major_code,Major,Major_category,Total,Men,Women,ShareWomen,Median
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+26,2410,ENVIRONMENTAL ENGINEERING,Engineering,4047,2662,1385,0.342228811,50000
+27,6107,NURSING,Health,209394,21773,187621,0.896018988,48000
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+29,5102,"NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES",Physical Sciences,2116,528,1588,0.75047259,46000
+30,2105,INFORMATION SCIENCES,Computers & Mathematics,11913,9005,2908,0.244103081,45000
+31,2100,COMPUTER AND INFORMATION SYSTEMS,Computers & Mathematics,36698,27392,9306,0.253583302,45000
+32,5007,PHYSICS,Physical Sciences,32142,23080,9062,0.281936407,45000
+33,3701,APPLIED MATHEMATICS,Computers & Mathematics,4939,2794,2145,0.434298441,45000
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+35,3702,STATISTICS AND DECISION SCIENCE,Computers & Mathematics,6251,2960,3291,0.526475764,45000
+36,3607,PHARMACOLOGY,Biology & Life Science,1762,515,1247,0.707718502,45000
+37,6105,MEDICAL TECHNOLOGIES TECHNICIANS,Health,15914,3916,11998,0.75392736,45000
+38,5006,OCEANOGRAPHY,Physical Sciences,2418,752,1666,0.688999173,44700
+39,2501,ENGINEERING AND INDUSTRIAL MANAGEMENT,Engineering,2906,2400,506,0.174122505,44000
+40,4005,MATHEMATICS AND COMPUTER SCIENCE,Computers & Mathematics,609,500,109,0.178981938,42000
+41,6104,MEDICAL ASSISTING SERVICES,Health,11123,803,10320,0.927807246,42000
+42,2101,COMPUTER PROGRAMMING AND DATA PROCESSING,Computers & Mathematics,4168,3046,1122,0.269193858,41300
+43,4006,COGNITIVE SCIENCE AND BIOPSYCHOLOGY,Biology & Life Science,3831,1667,2164,0.56486557,41000
+44,2504,MECHANICAL ENGINEERING RELATED TECHNOLOGIES,Engineering,4790,4419,371,0.077453027,40000
+45,2599,MISCELLANEOUS ENGINEERING TECHNOLOGIES,Engineering,8804,7043,1761,0.200022717,40000
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+76,3609,ZOOLOGY,Biology & Life Science,8409,3050,5359,0.637293376,26000
+

flying-etiquette-survey/README.md

@@ -0,0 +1,3 @@
+### Flying Etiquette Survey
+
+Results of a SurveyMonkey survey commissioned by FiveThirtyEight for the story [41 Percent of Fliers Say It’s Rude To Recline Your Airplane Seat](http://fivethirtyeight.com/datalab/airplane-etiquette-recline-seat)

forecast-methodology/README.md

@@ -0,0 +1,17 @@
+### Historical FiveThirtyEight Senate Forecasts
+
+The data behind the story [How The FiveThirtyEight Senate Forecast Model Works](http://fivethirtyeight.com/features/how-the-fivethirtyeight-senate-forecast-model-works/)
+
+Header | Definition
+---|---------
+`state` | Election
+`year` | Year of election
+`candidate` | Last name
+`forecast_prob` | Probability of winning election per FiveThirtyEight Election Day forecast
+`result` | `Win` or `Loss`
+
+For archived results, see:
+
+ * **2008** https://web.archive.org/web/20081106113055/http://www.fivethirtyeight.com/
+ * **2010** http://elections.nytimes.com/2010/forecasts/senate
+ * **2012** http://fivethirtyeight.blogs.nytimes.com/fivethirtyeights-2012-forecast/

nfl-suspensions/README.md

@@ -0,0 +1,13 @@
+### NFL suspensions data
+
+The raw data behind the story, [The NFL’s Uneven History Of Punishing Domestic Violence](http://fivethirtyeight.com/features/nfl-domestic-violence-policy-suspensions/)
+
+Header | Definition
+---|---------
+`name` | first initial.last name
+`team` | team at time of suspension
+`games` | number of games suspended (one regular season = 16 games)
+`category` | personal conduct, substance abuse, peformance enhancing drugs or in-game violence
+`desc.` | description
+`year` | year of suspension
+`source` | news source

police-locals/README.md

@@ -7,9 +7,7 @@ Includes the cities with the 75 largest police forces, with the exception of Hon
 The Census Bureau numbers are potentially going to differ from other counts for three reasons:
 
 1. The census category for police officers also includes sheriffs, transit police and others who might not be under the same jurisdiction as a city’s police department proper. The census category won’t include private security officers.
-
 2. The census data is estimated from 2006 to 2010; police forces may have changed in size since then.
-
 3. There is always a margin of error in census numbers; they are estimates, not complete counts.
 
 __How to read `police-locals.csv`__