From 338772e716eb988b7a22f521db6a6af055d093ba Mon Sep 17 00:00:00 2001 From: jvendries Date: Sat, 1 Apr 2023 20:08:24 -0400 Subject: [PATCH 01/39] added a new yml disaggregation file to point to the employment ratios csv rather than the Use, Make, and Env csv files --- inst/extdata/disaggspecs/UtilityDisaggByProxy.yml | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 inst/extdata/disaggspecs/UtilityDisaggByProxy.yml diff --git a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml new file mode 100644 index 0000000..1cf0c30 --- /dev/null +++ b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml @@ -0,0 +1,11 @@ +Disaggregation: + 22/US: + OriginalSectorCode: "22/US" + OrignalSectorName: "Utilities" + DisaggregationType: "Userdefined" + SectorFile: UtilityDisaggregation_Sectors.csv + # MakeFile: UtilityDisaggregationSummary_Make.csv + # UseFile: UtilityDisaggregationSummary_Use.csv + # EnvFile: UtilityDisaggregationSummary_Env.csv + stateFile: Employment_ratios.csv + package: "stateior" From a590aa6a698ef86487b117018978f75fc62ca9bc Mon Sep 17 00:00:00 2001 From: jvendries Date: Sat, 1 Apr 2023 20:39:03 -0400 Subject: [PATCH 02/39] update getStateModelDisaggSpecs to save stateFile as dataframe that is a part of the disagg object for every model$DisaggregationSpecs --- R/StateDisaggFunctions.R | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index d152c26..3e53cf5 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -12,8 +12,12 @@ getStateModelDisaggSpecs <- function(configfile, statefile = NULL){ disaggConfigpath <- system.file(paste0("extdata/disaggspecs/"), paste0(configfile,".yml"), package = "stateior") model <- useeior:::getDisaggregationSpecs(model, disaggConfigpath, pkg = "stateior") - if(!is.null(statefile)){ - model$specs$StateDisaggSpecs <- getStateSpecificDisaggSpecs(disaggConfigpath, statefile) + for(disagg in model$DisaggregationSpecs) + { + if(!is.null(disagg$stateFile)){ + disagg$stateDF <- getStateSpecificDisaggSpecs(disaggConfigpath, disagg$stateFile) + model$DisaggregationSpecs[[disagg$OriginalSectorCode]] <- disagg + } } return(model) From 7b33dccea46068d60cf062a34b21b4e2be793599 Mon Sep 17 00:00:00 2001 From: jvendries Date: Sat, 1 Apr 2023 20:39:31 -0400 Subject: [PATCH 03/39] add comment for decision point on how to handle disaggregation by proxy --- R/BuildModel.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/R/BuildModel.R b/R/BuildModel.R index 8b5b714..babd4ff 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -646,6 +646,8 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { model$FullUse <- US_Use model$DomesticFullUse <- US_DomesticUse # Note that the domestic full use object does not include value added rows + #ERROR HERE FOR DISAGG BY PROXY: NEED TO DECIDE IF WE WANT TO REFACTOR THIS CODE TO WORK ONLY FOR DISAGG BY PROXY, IF WE WANT TO KEEP THIS VERSION (DISAGG BASED ON + # 2020 DETAIL MODEL), OR IF WE WANT TO KEEP BOTH # Disaggregate national model objects once (i.e. not for each state) model <- disaggregateNationalObjectsInStateModel(model, disagg) From 538ef44f3c746dbad4b7bb14906753191384dde9 Mon Sep 17 00:00:00 2001 From: jvendries Date: Mon, 3 Apr 2023 21:52:57 -0400 Subject: [PATCH 04/39] Added dummy US employment ratios for testing in the Employment_ratios.csv file --- .../extdata/disaggspecs/Employment_ratios.csv | 915 +++++++++--------- .../disaggspecs/Employment_ratios_backup.csv | 460 +++++++++ 2 files changed, 922 insertions(+), 453 deletions(-) create mode 100644 inst/extdata/disaggspecs/Employment_ratios_backup.csv diff --git a/inst/extdata/disaggspecs/Employment_ratios.csv b/inst/extdata/disaggspecs/Employment_ratios.csv index f1b9788..02efd48 100644 --- a/inst/extdata/disaggspecs/Employment_ratios.csv +++ b/inst/extdata/disaggspecs/Employment_ratios.csv @@ -1,460 +1,469 @@ State,ActivityProducedBy,Share,Year -Alabama,221100,0.6958398066632142,2016 -Alabama,221200,0.09999136889349215,2016 -Alabama,221300,0.20416882444329362,2016 -Alaska,221100,0.714622641509434,2016 -Alaska,221200,0.13726415094339622,2016 -Alaska,221300,0.1481132075471698,2016 -Arizona,221100,0.992974695895401,2016 -Arizona,221200,0.0,2016 -Arizona,221300,0.007025304104598972,2016 -Arkansas,221100,0.5329691032403918,2016 -Arkansas,221200,0.10437076111529767,2016 -Arkansas,221300,0.3626601356443105,2016 -California,221100,0.36238932052002404,2016 -California,221200,0.0,2016 -California,221300,0.637610679479976,2016 -Colorado,221100,0.795752427184466,2016 -Colorado,221200,0.10631067961165049,2016 -Colorado,221300,0.09793689320388349,2016 -Connecticut,221100,0.5514211886304909,2016 -Connecticut,221200,0.10904392764857881,2016 -Connecticut,221300,0.3395348837209302,2016 -Delaware,221100,1.0,2016 -Delaware,221200,0.0,2016 -Delaware,221300,0.0,2016 +US,221100,0.34,2016 +US,221200,0.33,2016 +US,221300,0.33,2016 +Alabama,221100,0.695839807,2016 +Alabama,221200,0.099991369,2016 +Alabama,221300,0.204168824,2016 +Alaska,221100,0.714622642,2016 +Alaska,221200,0.137264151,2016 +Alaska,221300,0.148113208,2016 +Arizona,221100,0.992974696,2016 +Arizona,221200,0,2016 +Arizona,221300,0.007025304,2016 +Arkansas,221100,0.532969103,2016 +Arkansas,221200,0.104370761,2016 +Arkansas,221300,0.362660136,2016 +California,221100,0.362389321,2016 +California,221200,0,2016 +California,221300,0.637610679,2016 +Colorado,221100,0.795752427,2016 +Colorado,221200,0.10631068,2016 +Colorado,221300,0.097936893,2016 +Connecticut,221100,0.551421189,2016 +Connecticut,221200,0.109043928,2016 +Connecticut,221300,0.339534884,2016 +Delaware,221100,1,2016 +Delaware,221200,0,2016 +Delaware,221300,0,2016 District Of Columbia,221100,,2016 District Of Columbia,221200,,2016 District Of Columbia,221300,,2016 -Florida,221100,0.7706402987138709,2016 -Florida,221200,0.05514451666436178,2016 -Florida,221300,0.17421518462176738,2016 -Georgia,221100,0.8420134562671319,2016 -Georgia,221200,0.10037378519810615,2016 -Georgia,221300,0.057612758534762026,2016 -Hawaii,221100,1.0,2016 -Hawaii,221200,0.0,2016 -Hawaii,221300,0.0,2016 -Idaho,221100,0.7653611210923464,2016 -Idaho,221200,0.0,2016 -Idaho,221300,0.23463887890765361,2016 -Illinois,221100,0.6695485457965562,2016 -Illinois,221200,0.1605049920416727,2016 -Illinois,221300,0.1699464621617711,2016 -Indiana,221100,0.7111716621253406,2016 -Indiana,221200,0.11371037416096232,2016 -Indiana,221300,0.1751179637136971,2016 -Iowa,221100,0.78442521631644,2016 -Iowa,221200,0.07045735475896168,2016 -Iowa,221300,0.14511742892459828,2016 -Kansas,221100,0.6157773806484554,2016 -Kansas,221200,0.2221087567015573,2016 -Kansas,221300,0.16211386264998723,2016 -Kentucky,221100,0.5581913708008279,2016 -Kentucky,221200,0.0728387199490527,2016 -Kentucky,221300,0.3689699092501194,2016 -Louisiana,221100,0.46906069149725477,2016 -Louisiana,221200,0.10023742395014097,2016 -Louisiana,221300,0.4307018845526042,2016 -Maine,221100,0.4832146490335707,2016 -Maine,221200,0.05188199389623601,2016 -Maine,221300,0.4649033570701933,2016 -Maryland,221100,0.8927008750994431,2016 -Maryland,221200,0.056881463802704854,2016 -Maryland,221300,0.05041766109785203,2016 -Massachusetts,221100,0.5553125706960259,2016 -Massachusetts,221200,0.20843073674685167,2016 -Massachusetts,221300,0.2362566925571224,2016 -Michigan,221100,0.8395624002253733,2016 -Michigan,221200,0.11343788149121983,2016 -Michigan,221300,0.04699971828340689,2016 -Minnesota,221100,0.8326792722083483,2016 -Minnesota,221200,0.11202283267927221,2016 -Minnesota,221300,0.05529789511237959,2016 -Mississippi,221100,0.7192065692652234,2016 -Mississippi,221200,0.0681454623013757,2016 -Mississippi,221300,0.21264796843340086,2016 -Missouri,221100,0.5129345409187049,2016 -Missouri,221200,0.14458484733445415,2016 -Missouri,221300,0.3424806117468409,2016 -Montana,221100,0.7471230451460608,2016 -Montana,221200,0.1106521097668929,2016 -Montana,221300,0.14222484508704633,2016 -Nebraska,221100,0.7716777834787071,2016 -Nebraska,221200,0.10582349923037455,2016 -Nebraska,221300,0.12249871729091842,2016 -Nevada,221100,0.674134926562111,2016 -Nevada,221200,0.0,2016 -Nevada,221300,0.32586507343788895,2016 -New Hampshire,221100,0.7365319865319865,2016 -New Hampshire,221200,0.10311447811447812,2016 -New Hampshire,221300,0.16035353535353536,2016 -New Jersey,221100,0.5394820858460447,2016 -New Jersey,221200,0.3054274565448741,2016 -New Jersey,221300,0.15509045760908124,2016 -New Mexico,221100,0.5263325377883851,2016 -New Mexico,221200,0.1858392999204455,2016 -New Mexico,221300,0.2878281622911695,2016 -New York,221100,0.755165113279634,2016 -New York,221200,0.17307083931569853,2016 -New York,221300,0.07176404740466746,2016 -North Carolina,221100,0.7246435027113878,2016 -North Carolina,221200,0.1404565843208141,2016 -North Carolina,221300,0.13489991296779807,2016 -North Dakota,221100,0.9337368588722523,2016 -North Dakota,221200,0.0,2016 -North Dakota,221300,0.06626314112774769,2016 -Ohio,221100,0.4720680083275503,2016 -Ohio,221200,0.19059680777238028,2016 -Ohio,221300,0.3373351839000694,2016 -Oklahoma,221100,0.43917603466683414,2016 -Oklahoma,221200,0.28757143754317654,2016 -Oklahoma,221300,0.2732525277899893,2016 -Oregon,221100,0.5220414752266236,2016 -Oregon,221200,0.14801937166273438,2016 -Oregon,221300,0.329939153110642,2016 -Pennsylvania,221100,0.4958280508299673,2016 -Pennsylvania,221200,0.14113866202789163,2016 -Pennsylvania,221300,0.3630332871421411,2016 -Rhode Island,221100,1.0,2016 -Rhode Island,221200,0.0,2016 -Rhode Island,221300,0.0,2016 -South Carolina,221100,0.7359536246655625,2016 -South Carolina,221200,0.059752834756019876,2016 -South Carolina,221300,0.20429354057841764,2016 -South Dakota,221100,0.784051510648836,2016 -South Dakota,221200,0.09806835066864784,2016 -South Dakota,221300,0.1178801386825161,2016 -Tennessee,221100,0.7305083974329798,2016 -Tennessee,221200,0.08178963178735606,2016 -Tennessee,221300,0.1877019707796641,2016 -Texas,221100,0.5552512985497993,2016 -Texas,221200,0.09005734494148851,2016 -Texas,221300,0.35469135650871225,2016 -Utah,221100,0.45968441130570487,2016 -Utah,221200,0.1321310906883995,2016 -Utah,221300,0.4081844980058956,2016 -Vermont,221100,0.8427037271004422,2016 -Vermont,221200,0.0,2016 -Vermont,221300,0.1572962728995578,2016 -Virginia,221100,0.48124616842222595,2016 -Virginia,221200,0.08755503538984562,2016 -Virginia,221300,0.43119879618792845,2016 -Washington,221100,0.659468438538206,2016 -Washington,221200,0.03590183260100739,2016 -Washington,221300,0.30462972886078665,2016 -West Virginia,221100,0.734571483846005,2016 -West Virginia,221200,0.1408396208164055,2016 -West Virginia,221300,0.12458889533758948,2016 -Wisconsin,221100,0.7481797639969872,2016 -Wisconsin,221200,0.06477529500376601,2016 -Wisconsin,221300,0.1870449409992468,2016 -Wyoming,221100,0.8633516053249805,2016 -Wyoming,221200,0.09162098668754894,2016 -Wyoming,221300,0.04502740798747063,2016 -Alabama,221100,0.6855893267361725,2017 -Alabama,221200,0.10134299346174236,2017 -Alabama,221300,0.21306767980208519,2017 -Alaska,221100,0.7170524326877658,2017 -Alaska,221200,0.1350968351440718,2017 -Alaska,221300,0.1478507321681625,2017 -Arizona,221100,0.9929194256867502,2017 -Arizona,221200,0.0,2017 -Arizona,221300,0.007080574313249852,2017 -Arkansas,221100,0.5367757712565839,2017 -Arkansas,221200,0.09951091045899173,2017 -Arkansas,221300,0.3637133182844244,2017 -California,221100,0.36999005660088724,2017 -California,221200,0.0,2017 -California,221300,0.6300099433991128,2017 -Colorado,221100,0.7925485827453893,2017 -Colorado,221200,0.10521104097041713,2017 -Colorado,221300,0.1022403762841936,2017 -Connecticut,221100,0.547513141932875,2017 -Connecticut,221200,0.10540504111066182,2017 -Connecticut,221300,0.3470818169564631,2017 -Delaware,221100,1.0,2017 -Delaware,221200,0.0,2017 -Delaware,221300,0.0,2017 +Florida,221100,0.770640299,2016 +Florida,221200,0.055144517,2016 +Florida,221300,0.174215185,2016 +Georgia,221100,0.842013456,2016 +Georgia,221200,0.100373785,2016 +Georgia,221300,0.057612759,2016 +Hawaii,221100,1,2016 +Hawaii,221200,0,2016 +Hawaii,221300,0,2016 +Idaho,221100,0.765361121,2016 +Idaho,221200,0,2016 +Idaho,221300,0.234638879,2016 +Illinois,221100,0.669548546,2016 +Illinois,221200,0.160504992,2016 +Illinois,221300,0.169946462,2016 +Indiana,221100,0.711171662,2016 +Indiana,221200,0.113710374,2016 +Indiana,221300,0.175117964,2016 +Iowa,221100,0.784425216,2016 +Iowa,221200,0.070457355,2016 +Iowa,221300,0.145117429,2016 +Kansas,221100,0.615777381,2016 +Kansas,221200,0.222108757,2016 +Kansas,221300,0.162113863,2016 +Kentucky,221100,0.558191371,2016 +Kentucky,221200,0.07283872,2016 +Kentucky,221300,0.368969909,2016 +Louisiana,221100,0.469060691,2016 +Louisiana,221200,0.100237424,2016 +Louisiana,221300,0.430701885,2016 +Maine,221100,0.483214649,2016 +Maine,221200,0.051881994,2016 +Maine,221300,0.464903357,2016 +Maryland,221100,0.892700875,2016 +Maryland,221200,0.056881464,2016 +Maryland,221300,0.050417661,2016 +Massachusetts,221100,0.555312571,2016 +Massachusetts,221200,0.208430737,2016 +Massachusetts,221300,0.236256693,2016 +Michigan,221100,0.8395624,2016 +Michigan,221200,0.113437881,2016 +Michigan,221300,0.046999718,2016 +Minnesota,221100,0.832679272,2016 +Minnesota,221200,0.112022833,2016 +Minnesota,221300,0.055297895,2016 +Mississippi,221100,0.719206569,2016 +Mississippi,221200,0.068145462,2016 +Mississippi,221300,0.212647968,2016 +Missouri,221100,0.512934541,2016 +Missouri,221200,0.144584847,2016 +Missouri,221300,0.342480612,2016 +Montana,221100,0.747123045,2016 +Montana,221200,0.11065211,2016 +Montana,221300,0.142224845,2016 +Nebraska,221100,0.771677783,2016 +Nebraska,221200,0.105823499,2016 +Nebraska,221300,0.122498717,2016 +Nevada,221100,0.674134927,2016 +Nevada,221200,0,2016 +Nevada,221300,0.325865073,2016 +New Hampshire,221100,0.736531987,2016 +New Hampshire,221200,0.103114478,2016 +New Hampshire,221300,0.160353535,2016 +New Jersey,221100,0.539482086,2016 +New Jersey,221200,0.305427457,2016 +New Jersey,221300,0.155090458,2016 +New Mexico,221100,0.526332538,2016 +New Mexico,221200,0.1858393,2016 +New Mexico,221300,0.287828162,2016 +New York,221100,0.755165113,2016 +New York,221200,0.173070839,2016 +New York,221300,0.071764047,2016 +North Carolina,221100,0.724643503,2016 +North Carolina,221200,0.140456584,2016 +North Carolina,221300,0.134899913,2016 +North Dakota,221100,0.933736859,2016 +North Dakota,221200,0,2016 +North Dakota,221300,0.066263141,2016 +Ohio,221100,0.472068008,2016 +Ohio,221200,0.190596808,2016 +Ohio,221300,0.337335184,2016 +Oklahoma,221100,0.439176035,2016 +Oklahoma,221200,0.287571438,2016 +Oklahoma,221300,0.273252528,2016 +Oregon,221100,0.522041475,2016 +Oregon,221200,0.148019372,2016 +Oregon,221300,0.329939153,2016 +Pennsylvania,221100,0.495828051,2016 +Pennsylvania,221200,0.141138662,2016 +Pennsylvania,221300,0.363033287,2016 +Rhode Island,221100,1,2016 +Rhode Island,221200,0,2016 +Rhode Island,221300,0,2016 +South Carolina,221100,0.735953625,2016 +South Carolina,221200,0.059752835,2016 +South Carolina,221300,0.204293541,2016 +South Dakota,221100,0.784051511,2016 +South Dakota,221200,0.098068351,2016 +South Dakota,221300,0.117880139,2016 +Tennessee,221100,0.730508397,2016 +Tennessee,221200,0.081789632,2016 +Tennessee,221300,0.187701971,2016 +Texas,221100,0.555251299,2016 +Texas,221200,0.090057345,2016 +Texas,221300,0.354691357,2016 +Utah,221100,0.459684411,2016 +Utah,221200,0.132131091,2016 +Utah,221300,0.408184498,2016 +Vermont,221100,0.842703727,2016 +Vermont,221200,0,2016 +Vermont,221300,0.157296273,2016 +Virginia,221100,0.481246168,2016 +Virginia,221200,0.087555035,2016 +Virginia,221300,0.431198796,2016 +Washington,221100,0.659468439,2016 +Washington,221200,0.035901833,2016 +Washington,221300,0.304629729,2016 +West Virginia,221100,0.734571484,2016 +West Virginia,221200,0.140839621,2016 +West Virginia,221300,0.124588895,2016 +Wisconsin,221100,0.748179764,2016 +Wisconsin,221200,0.064775295,2016 +Wisconsin,221300,0.187044941,2016 +Wyoming,221100,0.863351605,2016 +Wyoming,221200,0.091620987,2016 +Wyoming,221300,0.045027408,2016 +US,221100,0.34,2017 +US,221200,0.33,2017 +US,221300,0.33,2017 +Alabama,221100,0.685589327,2017 +Alabama,221200,0.101342993,2017 +Alabama,221300,0.21306768,2017 +Alaska,221100,0.717052433,2017 +Alaska,221200,0.135096835,2017 +Alaska,221300,0.147850732,2017 +Arizona,221100,0.992919426,2017 +Arizona,221200,0,2017 +Arizona,221300,0.007080574,2017 +Arkansas,221100,0.536775771,2017 +Arkansas,221200,0.09951091,2017 +Arkansas,221300,0.363713318,2017 +California,221100,0.369990057,2017 +California,221200,0,2017 +California,221300,0.630009943,2017 +Colorado,221100,0.792548583,2017 +Colorado,221200,0.105211041,2017 +Colorado,221300,0.102240376,2017 +Connecticut,221100,0.547513142,2017 +Connecticut,221200,0.105405041,2017 +Connecticut,221300,0.347081817,2017 +Delaware,221100,1,2017 +Delaware,221200,0,2017 +Delaware,221300,0,2017 District Of Columbia,221100,,2017 District Of Columbia,221200,,2017 District Of Columbia,221300,,2017 -Florida,221100,0.7621745999038395,2017 -Florida,221200,0.05608214849921011,2017 -Florida,221300,0.18174325159695034,2017 -Georgia,221100,0.8309082554755706,2017 -Georgia,221200,0.10603972022259663,2017 -Georgia,221300,0.06305202430183285,2017 -Hawaii,221100,1.0,2017 -Hawaii,221200,0.0,2017 -Hawaii,221300,0.0,2017 -Idaho,221100,0.7651128914785142,2017 -Idaho,221200,0.0,2017 -Idaho,221300,0.2348871085214858,2017 -Illinois,221100,0.6565946897567636,2017 -Illinois,221200,0.16713972622426615,2017 -Illinois,221300,0.1762655840189703,2017 -Indiana,221100,0.7114345935976815,2017 -Indiana,221200,0.11632196021604532,2017 -Indiana,221300,0.1722434461862732,2017 -Iowa,221100,0.7845847341551488,2017 -Iowa,221200,0.07022786701531565,2017 -Iowa,221300,0.14518739882953555,2017 -Kansas,221100,0.6113695090439276,2017 -Kansas,221200,0.22080103359173125,2017 -Kansas,221300,0.16782945736434107,2017 -Kentucky,221100,0.552446446921192,2017 -Kentucky,221200,0.07390720101177772,2017 -Kentucky,221300,0.3736463520670303,2017 -Louisiana,221100,0.47029226785053646,2017 -Louisiana,221200,0.09655937846836848,2017 -Louisiana,221300,0.43314835368109506,2017 -Maine,221100,0.4952861952861953,2017 -Maine,221200,0.04276094276094276,2017 -Maine,221300,0.46195286195286195,2017 -Maryland,221100,0.8908489525909592,2017 -Maryland,221200,0.05883532123884935,2017 -Maryland,221300,0.05031572617019144,2017 -Massachusetts,221100,0.5584020842379505,2017 -Massachusetts,221200,0.2134896511796208,2017 -Massachusetts,221300,0.22810826458242872,2017 -Michigan,221100,0.8070104391648668,2017 -Michigan,221200,0.10920626349892008,2017 -Michigan,221300,0.0837832973362131,2017 -Minnesota,221100,0.8255193306405078,2017 -Minnesota,221200,0.1154068090017311,2017 -Minnesota,221300,0.05907386035776111,2017 -Mississippi,221100,0.7129931614939505,2017 -Mississippi,221200,0.06596528143082588,2017 -Mississippi,221300,0.22104155707522358,2017 -Missouri,221100,0.5108607334380586,2017 -Missouri,221200,0.14945019229727532,2017 -Missouri,221300,0.33968907426466605,2017 -Montana,221100,0.8063973063973064,2017 -Montana,221200,0.12558922558922558,2017 -Montana,221300,0.06801346801346801,2017 -Nebraska,221100,0.8951612903225806,2017 -Nebraska,221200,0.10483870967741936,2017 -Nebraska,221300,0.0,2017 -Nevada,221100,0.6723880597014925,2017 -Nevada,221200,0.0,2017 -Nevada,221300,0.3276119402985075,2017 -New Hampshire,221100,0.731433506044905,2017 -New Hampshire,221200,0.1157167530224525,2017 -New Hampshire,221300,0.15284974093264247,2017 -New Jersey,221100,0.5199914778779916,2017 -New Jersey,221200,0.32533200766990983,2017 -New Jersey,221300,0.15467651445209857,2017 -New Mexico,221100,0.5248955991005461,2017 -New Mexico,221200,0.1864760681015098,2017 -New Mexico,221300,0.2886283327979441,2017 -New York,221100,0.7557050836905247,2017 -New York,221200,0.17023059792629486,2017 -New York,221300,0.07406431838318048,2017 -North Carolina,221100,0.7267047363117232,2017 -North Carolina,221200,0.1394020826335237,2017 -North Carolina,221300,0.13389318105475312,2017 -North Dakota,221100,0.9312134977287476,2017 -North Dakota,221200,0.0,2017 -North Dakota,221300,0.06878650227125244,2017 -Ohio,221100,0.46731707317073173,2017 -Ohio,221200,0.1937630662020906,2017 -Ohio,221300,0.3389198606271777,2017 -Oklahoma,221100,0.4646304376570144,2017 -Oklahoma,221200,0.2499669443342589,2017 -Oklahoma,221300,0.2854026180087267,2017 -Oregon,221100,0.693427677234998,2017 -Oregon,221200,0.0,2017 -Oregon,221300,0.306572322765002,2017 -Pennsylvania,221100,0.48789112411969215,2017 -Pennsylvania,221200,0.1445933497756515,2017 -Pennsylvania,221300,0.3675155261046563,2017 -Rhode Island,221100,0.6435733819507748,2017 -Rhode Island,221200,0.0,2017 -Rhode Island,221300,0.35642661804922515,2017 -South Carolina,221100,0.7256625891946993,2017 -South Carolina,221200,0.059441896024464834,2017 -South Carolina,221300,0.21489551478083588,2017 -South Dakota,221100,0.7812343201204215,2017 -South Dakota,221200,0.09834420471650777,2017 -South Dakota,221300,0.12042147516307075,2017 -Tennessee,221100,0.7257370590100086,2017 -Tennessee,221200,0.08523164711743128,2017 -Tennessee,221300,0.18903129387256012,2017 -Texas,221100,0.5520989095152996,2017 -Texas,221200,0.09049685741031159,2017 -Texas,221300,0.3574042330743888,2017 -Utah,221100,0.45615528690618085,2017 -Utah,221200,0.13638685509960838,2017 -Utah,221300,0.4074578579942108,2017 -Vermont,221100,0.8371161548731643,2017 -Vermont,221200,0.0,2017 -Vermont,221300,0.1628838451268358,2017 -Virginia,221100,0.4747101327507982,2017 -Virginia,221200,0.09074105192404638,2017 -Virginia,221300,0.43454881532515544,2017 -Washington,221100,0.6614720438033063,2017 -Washington,221200,0.0368537432873539,2017 -Washington,221300,0.30167421290933977,2017 -West Virginia,221100,0.7480181200453001,2017 -West Virginia,221200,0.135522838807097,2017 -West Virginia,221300,0.11645904114760287,2017 -Wisconsin,221100,0.74617917757325,2017 -Wisconsin,221200,0.06400405302710462,2017 -Wisconsin,221300,0.18981676939964537,2017 -Wyoming,221100,0.8638007231820009,2017 -Wyoming,221200,0.09722780233025312,2017 -Wyoming,221300,0.038971474487746086,2017 -Alabama,221100,0.684650792245729,2018 -Alabama,221200,0.1001150747986191,2018 -Alabama,221300,0.21523413295565194,2018 -Alaska,221100,0.7220956719817767,2018 -Alaska,221200,0.13302961275626424,2018 -Alaska,221300,0.144874715261959,2018 -Arizona,221100,0.9928778686362437,2018 -Arizona,221200,0.0,2018 -Arizona,221300,0.007122131363756265,2018 -Arkansas,221100,0.5392538975501113,2018 -Arkansas,221200,0.09669636228656273,2018 -Arkansas,221300,0.3640497401633259,2018 -California,221100,0.3679787085025914,2018 -California,221200,0.0,2018 -California,221300,0.6320212914974086,2018 -Colorado,221100,0.7866749688667497,2018 -Colorado,221200,0.10859277708592777,2018 -Colorado,221300,0.10473225404732255,2018 -Connecticut,221100,0.5422583758444781,2018 -Connecticut,221200,0.10106162967048118,2018 -Connecticut,221300,0.3566799944850407,2018 -Delaware,221100,1.0,2018 -Delaware,221200,0.0,2018 -Delaware,221300,0.0,2018 -District Of Columbia,221100,1.0,2018 -District Of Columbia,221200,0.0,2018 -District Of Columbia,221300,0.0,2018 -Florida,221100,0.7543787909766237,2018 -Florida,221200,0.0585429019287126,2018 -Florida,221300,0.18707830709466367,2018 -Georgia,221100,0.822259484384825,2018 -Georgia,221200,0.10348983441626493,2018 -Georgia,221300,0.07425068119891008,2018 -Hawaii,221100,1.0,2018 -Hawaii,221200,0.0,2018 -Hawaii,221300,0.0,2018 -Idaho,221100,0.7649802655184786,2018 -Idaho,221200,0.0,2018 -Idaho,221300,0.23501973448152136,2018 -Illinois,221100,0.6557065509699165,2018 -Illinois,221200,0.16519057692997238,2018 -Illinois,221300,0.17910287210011117,2018 -Indiana,221100,0.7139877460565767,2018 -Indiana,221200,0.11752053187328901,2018 -Indiana,221300,0.16849172207013427,2018 -Iowa,221100,0.7842645953395139,2018 -Iowa,221200,0.07166123778501629,2018 -Iowa,221300,0.1440741668754698,2018 -Kansas,221100,0.5979872881355932,2018 -Kansas,221200,0.22709216101694915,2018 -Kansas,221300,0.17492055084745764,2018 -Kentucky,221100,0.5511009391523952,2018 -Kentucky,221200,0.07584247494278273,2018 -Kentucky,221300,0.37305658590482205,2018 -Louisiana,221100,0.4765664985011333,2018 -Louisiana,221200,0.09417269869123346,2018 -Louisiana,221300,0.42926080280763323,2018 -Maine,221100,0.48547008547008547,2018 -Maine,221200,0.043076923076923075,2018 -Maine,221300,0.47145299145299147,2018 -Maryland,221100,0.8828856021732568,2018 -Maryland,221200,0.06177683871616863,2018 -Maryland,221300,0.0553375591105745,2018 -Massachusetts,221100,0.5764583796605144,2018 -Massachusetts,221200,0.1868653176191535,2018 -Massachusetts,221300,0.23667630272033208,2018 -Michigan,221100,0.805064308681672,2018 -Michigan,221200,0.11017327617006073,2018 -Michigan,221300,0.08476241514826724,2018 -Minnesota,221100,0.8236276503049667,2018 -Minnesota,221200,0.11581469648562301,2018 -Minnesota,221300,0.060557653209410395,2018 -Mississippi,221100,0.7066994337001816,2018 -Mississippi,221200,0.06731488406881077,2018 -Mississippi,221300,0.2259856822310076,2018 -Missouri,221100,0.6396913200846821,2018 -Missouri,221200,0.01611691593252749,2018 -Missouri,221300,0.3441917639827904,2018 -Montana,221100,0.8091812264474135,2018 -Montana,221200,0.12572798903734156,2018 -Montana,221300,0.06509078451524494,2018 -Nebraska,221100,0.763048558815892,2018 -Nebraska,221200,0.1043884705271358,2018 -Nebraska,221300,0.13256297065697223,2018 -Nevada,221100,0.7101637639719262,2018 -Nevada,221200,0.0,2018 -Nevada,221300,0.28983623602807385,2018 -New Hampshire,221100,0.7230565371024735,2018 -New Hampshire,221200,0.11704946996466431,2018 -New Hampshire,221300,0.1598939929328622,2018 -New Jersey,221100,0.4937734730183831,2018 -New Jersey,221200,0.3590960005271134,2018 -New Jersey,221300,0.14713052645450353,2018 -New Mexico,221100,0.5184113201479338,2018 -New Mexico,221200,0.18684675992924907,2018 -New Mexico,221300,0.2947419199228172,2018 -New York,221100,0.8069856193292391,2018 -New York,221200,0.11608158313746304,2018 -New York,221300,0.07693279753329794,2018 -North Carolina,221100,0.7362545172947857,2018 -North Carolina,221200,0.13177594217862673,2018 -North Carolina,221300,0.13196954052658752,2018 -North Dakota,221100,0.7068273092369478,2018 -North Dakota,221200,0.1932730923694779,2018 -North Dakota,221300,0.09989959839357429,2018 -Ohio,221100,0.46649008468964553,2018 -Ohio,221200,0.1936709301920329,2018 -Ohio,221300,0.33983898511832156,2018 -Oklahoma,221100,0.46574797932953493,2018 -Oklahoma,221200,0.24897310189479263,2018 -Oklahoma,221300,0.28527891877567246,2018 -Oregon,221100,0.6922244759972954,2018 -Oregon,221200,0.0,2018 -Oregon,221300,0.3077755240027045,2018 -Pennsylvania,221100,0.4811219946571683,2018 -Pennsylvania,221200,0.14663104778866132,2018 -Pennsylvania,221300,0.37224695755417037,2018 -Rhode Island,221100,1.0,2018 -Rhode Island,221200,0.0,2018 -Rhode Island,221300,0.0,2018 -South Carolina,221100,0.7369428656895004,2018 -South Carolina,221200,0.055698474424169905,2018 -South Carolina,221300,0.20735865988632965,2018 -South Dakota,221100,0.7770475227502528,2018 -South Dakota,221200,0.10313447927199192,2018 -South Dakota,221300,0.1198179979777553,2018 -Tennessee,221100,0.724128552649472,2018 -Tennessee,221200,0.08549023163047913,2018 -Tennessee,221300,0.19038121572004896,2018 -Texas,221100,0.5450825098397949,2018 -Texas,221200,0.09513607202609502,2018 -Texas,221300,0.3597814181341101,2018 -Utah,221100,0.45962417470797357,2018 -Utah,221200,0.1271372947350601,2018 -Utah,221300,0.4132385305569663,2018 -Vermont,221100,0.8345612860013396,2018 -Vermont,221200,0.0,2018 -Vermont,221300,0.16543871399866042,2018 -Virginia,221100,0.46573434365946065,2018 -Virginia,221200,0.09399375975039001,2018 -Virginia,221300,0.4402718965901493,2018 -Washington,221100,0.6638834145835494,2018 -Washington,221200,0.037288663001763304,2018 -Washington,221300,0.29882792241468725,2018 -West Virginia,221100,0.7449802964908988,2018 -West Virginia,221200,0.13773691124038281,2018 -West Virginia,221300,0.11728279226871834,2018 -Wisconsin,221100,0.7335944299390774,2018 -Wisconsin,221200,0.06892950391644909,2018 -Wisconsin,221300,0.19747606614447347,2018 -Wyoming,221100,0.8308852719333069,2018 -Wyoming,221200,0.13298928146089717,2018 -Wyoming,221300,0.036125446605795954,2018 +Florida,221100,0.7621746,2017 +Florida,221200,0.056082148,2017 +Florida,221300,0.181743252,2017 +Georgia,221100,0.830908255,2017 +Georgia,221200,0.10603972,2017 +Georgia,221300,0.063052024,2017 +Hawaii,221100,1,2017 +Hawaii,221200,0,2017 +Hawaii,221300,0,2017 +Idaho,221100,0.765112891,2017 +Idaho,221200,0,2017 +Idaho,221300,0.234887109,2017 +Illinois,221100,0.65659469,2017 +Illinois,221200,0.167139726,2017 +Illinois,221300,0.176265584,2017 +Indiana,221100,0.711434594,2017 +Indiana,221200,0.11632196,2017 +Indiana,221300,0.172243446,2017 +Iowa,221100,0.784584734,2017 +Iowa,221200,0.070227867,2017 +Iowa,221300,0.145187399,2017 +Kansas,221100,0.611369509,2017 +Kansas,221200,0.220801034,2017 +Kansas,221300,0.167829457,2017 +Kentucky,221100,0.552446447,2017 +Kentucky,221200,0.073907201,2017 +Kentucky,221300,0.373646352,2017 +Louisiana,221100,0.470292268,2017 +Louisiana,221200,0.096559378,2017 +Louisiana,221300,0.433148354,2017 +Maine,221100,0.495286195,2017 +Maine,221200,0.042760943,2017 +Maine,221300,0.461952862,2017 +Maryland,221100,0.890848953,2017 +Maryland,221200,0.058835321,2017 +Maryland,221300,0.050315726,2017 +Massachusetts,221100,0.558402084,2017 +Massachusetts,221200,0.213489651,2017 +Massachusetts,221300,0.228108265,2017 +Michigan,221100,0.807010439,2017 +Michigan,221200,0.109206263,2017 +Michigan,221300,0.083783297,2017 +Minnesota,221100,0.825519331,2017 +Minnesota,221200,0.115406809,2017 +Minnesota,221300,0.05907386,2017 +Mississippi,221100,0.712993161,2017 +Mississippi,221200,0.065965281,2017 +Mississippi,221300,0.221041557,2017 +Missouri,221100,0.510860733,2017 +Missouri,221200,0.149450192,2017 +Missouri,221300,0.339689074,2017 +Montana,221100,0.806397306,2017 +Montana,221200,0.125589226,2017 +Montana,221300,0.068013468,2017 +Nebraska,221100,0.89516129,2017 +Nebraska,221200,0.10483871,2017 +Nebraska,221300,0,2017 +Nevada,221100,0.67238806,2017 +Nevada,221200,0,2017 +Nevada,221300,0.32761194,2017 +New Hampshire,221100,0.731433506,2017 +New Hampshire,221200,0.115716753,2017 +New Hampshire,221300,0.152849741,2017 +New Jersey,221100,0.519991478,2017 +New Jersey,221200,0.325332008,2017 +New Jersey,221300,0.154676514,2017 +New Mexico,221100,0.524895599,2017 +New Mexico,221200,0.186476068,2017 +New Mexico,221300,0.288628333,2017 +New York,221100,0.755705084,2017 +New York,221200,0.170230598,2017 +New York,221300,0.074064318,2017 +North Carolina,221100,0.726704736,2017 +North Carolina,221200,0.139402083,2017 +North Carolina,221300,0.133893181,2017 +North Dakota,221100,0.931213498,2017 +North Dakota,221200,0,2017 +North Dakota,221300,0.068786502,2017 +Ohio,221100,0.467317073,2017 +Ohio,221200,0.193763066,2017 +Ohio,221300,0.338919861,2017 +Oklahoma,221100,0.464630438,2017 +Oklahoma,221200,0.249966944,2017 +Oklahoma,221300,0.285402618,2017 +Oregon,221100,0.693427677,2017 +Oregon,221200,0,2017 +Oregon,221300,0.306572323,2017 +Pennsylvania,221100,0.487891124,2017 +Pennsylvania,221200,0.14459335,2017 +Pennsylvania,221300,0.367515526,2017 +Rhode Island,221100,0.643573382,2017 +Rhode Island,221200,0,2017 +Rhode Island,221300,0.356426618,2017 +South Carolina,221100,0.725662589,2017 +South Carolina,221200,0.059441896,2017 +South Carolina,221300,0.214895515,2017 +South Dakota,221100,0.78123432,2017 +South Dakota,221200,0.098344205,2017 +South Dakota,221300,0.120421475,2017 +Tennessee,221100,0.725737059,2017 +Tennessee,221200,0.085231647,2017 +Tennessee,221300,0.189031294,2017 +Texas,221100,0.55209891,2017 +Texas,221200,0.090496857,2017 +Texas,221300,0.357404233,2017 +Utah,221100,0.456155287,2017 +Utah,221200,0.136386855,2017 +Utah,221300,0.407457858,2017 +Vermont,221100,0.837116155,2017 +Vermont,221200,0,2017 +Vermont,221300,0.162883845,2017 +Virginia,221100,0.474710133,2017 +Virginia,221200,0.090741052,2017 +Virginia,221300,0.434548815,2017 +Washington,221100,0.661472044,2017 +Washington,221200,0.036853743,2017 +Washington,221300,0.301674213,2017 +West Virginia,221100,0.74801812,2017 +West Virginia,221200,0.135522839,2017 +West Virginia,221300,0.116459041,2017 +Wisconsin,221100,0.746179178,2017 +Wisconsin,221200,0.064004053,2017 +Wisconsin,221300,0.189816769,2017 +Wyoming,221100,0.863800723,2017 +Wyoming,221200,0.097227802,2017 +Wyoming,221300,0.038971474,2017 +US,221100,0.34,2018 +US,221200,0.33,2018 +US,221300,0.33,2018 +Alabama,221100,0.684650792,2018 +Alabama,221200,0.100115075,2018 +Alabama,221300,0.215234133,2018 +Alaska,221100,0.722095672,2018 +Alaska,221200,0.133029613,2018 +Alaska,221300,0.144874715,2018 +Arizona,221100,0.992877869,2018 +Arizona,221200,0,2018 +Arizona,221300,0.007122131,2018 +Arkansas,221100,0.539253898,2018 +Arkansas,221200,0.096696362,2018 +Arkansas,221300,0.36404974,2018 +California,221100,0.367978709,2018 +California,221200,0,2018 +California,221300,0.632021291,2018 +Colorado,221100,0.786674969,2018 +Colorado,221200,0.108592777,2018 +Colorado,221300,0.104732254,2018 +Connecticut,221100,0.542258376,2018 +Connecticut,221200,0.10106163,2018 +Connecticut,221300,0.356679994,2018 +Delaware,221100,1,2018 +Delaware,221200,0,2018 +Delaware,221300,0,2018 +District Of Columbia,221100,1,2018 +District Of Columbia,221200,0,2018 +District Of Columbia,221300,0,2018 +Florida,221100,0.754378791,2018 +Florida,221200,0.058542902,2018 +Florida,221300,0.187078307,2018 +Georgia,221100,0.822259484,2018 +Georgia,221200,0.103489834,2018 +Georgia,221300,0.074250681,2018 +Hawaii,221100,1,2018 +Hawaii,221200,0,2018 +Hawaii,221300,0,2018 +Idaho,221100,0.764980266,2018 +Idaho,221200,0,2018 +Idaho,221300,0.235019734,2018 +Illinois,221100,0.655706551,2018 +Illinois,221200,0.165190577,2018 +Illinois,221300,0.179102872,2018 +Indiana,221100,0.713987746,2018 +Indiana,221200,0.117520532,2018 +Indiana,221300,0.168491722,2018 +Iowa,221100,0.784264595,2018 +Iowa,221200,0.071661238,2018 +Iowa,221300,0.144074167,2018 +Kansas,221100,0.597987288,2018 +Kansas,221200,0.227092161,2018 +Kansas,221300,0.174920551,2018 +Kentucky,221100,0.551100939,2018 +Kentucky,221200,0.075842475,2018 +Kentucky,221300,0.373056586,2018 +Louisiana,221100,0.476566499,2018 +Louisiana,221200,0.094172699,2018 +Louisiana,221300,0.429260803,2018 +Maine,221100,0.485470085,2018 +Maine,221200,0.043076923,2018 +Maine,221300,0.471452991,2018 +Maryland,221100,0.882885602,2018 +Maryland,221200,0.061776839,2018 +Maryland,221300,0.055337559,2018 +Massachusetts,221100,0.57645838,2018 +Massachusetts,221200,0.186865318,2018 +Massachusetts,221300,0.236676303,2018 +Michigan,221100,0.805064309,2018 +Michigan,221200,0.110173276,2018 +Michigan,221300,0.084762415,2018 +Minnesota,221100,0.82362765,2018 +Minnesota,221200,0.115814696,2018 +Minnesota,221300,0.060557653,2018 +Mississippi,221100,0.706699434,2018 +Mississippi,221200,0.067314884,2018 +Mississippi,221300,0.225985682,2018 +Missouri,221100,0.63969132,2018 +Missouri,221200,0.016116916,2018 +Missouri,221300,0.344191764,2018 +Montana,221100,0.809181226,2018 +Montana,221200,0.125727989,2018 +Montana,221300,0.065090785,2018 +Nebraska,221100,0.763048559,2018 +Nebraska,221200,0.104388471,2018 +Nebraska,221300,0.132562971,2018 +Nevada,221100,0.710163764,2018 +Nevada,221200,0,2018 +Nevada,221300,0.289836236,2018 +New Hampshire,221100,0.723056537,2018 +New Hampshire,221200,0.11704947,2018 +New Hampshire,221300,0.159893993,2018 +New Jersey,221100,0.493773473,2018 +New Jersey,221200,0.359096001,2018 +New Jersey,221300,0.147130526,2018 +New Mexico,221100,0.51841132,2018 +New Mexico,221200,0.18684676,2018 +New Mexico,221300,0.29474192,2018 +New York,221100,0.806985619,2018 +New York,221200,0.116081583,2018 +New York,221300,0.076932798,2018 +North Carolina,221100,0.736254517,2018 +North Carolina,221200,0.131775942,2018 +North Carolina,221300,0.131969541,2018 +North Dakota,221100,0.706827309,2018 +North Dakota,221200,0.193273092,2018 +North Dakota,221300,0.099899598,2018 +Ohio,221100,0.466490085,2018 +Ohio,221200,0.19367093,2018 +Ohio,221300,0.339838985,2018 +Oklahoma,221100,0.465747979,2018 +Oklahoma,221200,0.248973102,2018 +Oklahoma,221300,0.285278919,2018 +Oregon,221100,0.692224476,2018 +Oregon,221200,0,2018 +Oregon,221300,0.307775524,2018 +Pennsylvania,221100,0.481121995,2018 +Pennsylvania,221200,0.146631048,2018 +Pennsylvania,221300,0.372246958,2018 +Rhode Island,221100,1,2018 +Rhode Island,221200,0,2018 +Rhode Island,221300,0,2018 +South Carolina,221100,0.736942866,2018 +South Carolina,221200,0.055698474,2018 +South Carolina,221300,0.20735866,2018 +South Dakota,221100,0.777047523,2018 +South Dakota,221200,0.103134479,2018 +South Dakota,221300,0.119817998,2018 +Tennessee,221100,0.724128553,2018 +Tennessee,221200,0.085490232,2018 +Tennessee,221300,0.190381216,2018 +Texas,221100,0.54508251,2018 +Texas,221200,0.095136072,2018 +Texas,221300,0.359781418,2018 +Utah,221100,0.459624175,2018 +Utah,221200,0.127137295,2018 +Utah,221300,0.413238531,2018 +Vermont,221100,0.834561286,2018 +Vermont,221200,0,2018 +Vermont,221300,0.165438714,2018 +Virginia,221100,0.465734344,2018 +Virginia,221200,0.09399376,2018 +Virginia,221300,0.440271897,2018 +Washington,221100,0.663883415,2018 +Washington,221200,0.037288663,2018 +Washington,221300,0.298827922,2018 +West Virginia,221100,0.744980296,2018 +West Virginia,221200,0.137736911,2018 +West Virginia,221300,0.117282792,2018 +Wisconsin,221100,0.73359443,2018 +Wisconsin,221200,0.068929504,2018 +Wisconsin,221300,0.197476066,2018 +Wyoming,221100,0.830885272,2018 +Wyoming,221200,0.132989281,2018 +Wyoming,221300,0.036125447,2018 diff --git a/inst/extdata/disaggspecs/Employment_ratios_backup.csv b/inst/extdata/disaggspecs/Employment_ratios_backup.csv new file mode 100644 index 0000000..76e88cd --- /dev/null +++ b/inst/extdata/disaggspecs/Employment_ratios_backup.csv @@ -0,0 +1,460 @@ +State,ActivityProducedBy,Share,Year +Alabama,221100,0.695839807,2016 +Alabama,221200,0.099991369,2016 +Alabama,221300,0.204168824,2016 +Alaska,221100,0.714622642,2016 +Alaska,221200,0.137264151,2016 +Alaska,221300,0.148113208,2016 +Arizona,221100,0.992974696,2016 +Arizona,221200,0,2016 +Arizona,221300,0.007025304,2016 +Arkansas,221100,0.532969103,2016 +Arkansas,221200,0.104370761,2016 +Arkansas,221300,0.362660136,2016 +California,221100,0.362389321,2016 +California,221200,0,2016 +California,221300,0.637610679,2016 +Colorado,221100,0.795752427,2016 +Colorado,221200,0.10631068,2016 +Colorado,221300,0.097936893,2016 +Connecticut,221100,0.551421189,2016 +Connecticut,221200,0.109043928,2016 +Connecticut,221300,0.339534884,2016 +Delaware,221100,1,2016 +Delaware,221200,0,2016 +Delaware,221300,0,2016 +District Of Columbia,221100,,2016 +District Of Columbia,221200,,2016 +District Of Columbia,221300,,2016 +Florida,221100,0.770640299,2016 +Florida,221200,0.055144517,2016 +Florida,221300,0.174215185,2016 +Georgia,221100,0.842013456,2016 +Georgia,221200,0.100373785,2016 +Georgia,221300,0.057612759,2016 +Hawaii,221100,1,2016 +Hawaii,221200,0,2016 +Hawaii,221300,0,2016 +Idaho,221100,0.765361121,2016 +Idaho,221200,0,2016 +Idaho,221300,0.234638879,2016 +Illinois,221100,0.669548546,2016 +Illinois,221200,0.160504992,2016 +Illinois,221300,0.169946462,2016 +Indiana,221100,0.711171662,2016 +Indiana,221200,0.113710374,2016 +Indiana,221300,0.175117964,2016 +Iowa,221100,0.784425216,2016 +Iowa,221200,0.070457355,2016 +Iowa,221300,0.145117429,2016 +Kansas,221100,0.615777381,2016 +Kansas,221200,0.222108757,2016 +Kansas,221300,0.162113863,2016 +Kentucky,221100,0.558191371,2016 +Kentucky,221200,0.07283872,2016 +Kentucky,221300,0.368969909,2016 +Louisiana,221100,0.469060691,2016 +Louisiana,221200,0.100237424,2016 +Louisiana,221300,0.430701885,2016 +Maine,221100,0.483214649,2016 +Maine,221200,0.051881994,2016 +Maine,221300,0.464903357,2016 +Maryland,221100,0.892700875,2016 +Maryland,221200,0.056881464,2016 +Maryland,221300,0.050417661,2016 +Massachusetts,221100,0.555312571,2016 +Massachusetts,221200,0.208430737,2016 +Massachusetts,221300,0.236256693,2016 +Michigan,221100,0.8395624,2016 +Michigan,221200,0.113437881,2016 +Michigan,221300,0.046999718,2016 +Minnesota,221100,0.832679272,2016 +Minnesota,221200,0.112022833,2016 +Minnesota,221300,0.055297895,2016 +Mississippi,221100,0.719206569,2016 +Mississippi,221200,0.068145462,2016 +Mississippi,221300,0.212647968,2016 +Missouri,221100,0.512934541,2016 +Missouri,221200,0.144584847,2016 +Missouri,221300,0.342480612,2016 +Montana,221100,0.747123045,2016 +Montana,221200,0.11065211,2016 +Montana,221300,0.142224845,2016 +Nebraska,221100,0.771677783,2016 +Nebraska,221200,0.105823499,2016 +Nebraska,221300,0.122498717,2016 +Nevada,221100,0.674134927,2016 +Nevada,221200,0,2016 +Nevada,221300,0.325865073,2016 +New Hampshire,221100,0.736531987,2016 +New Hampshire,221200,0.103114478,2016 +New Hampshire,221300,0.160353535,2016 +New Jersey,221100,0.539482086,2016 +New Jersey,221200,0.305427457,2016 +New Jersey,221300,0.155090458,2016 +New Mexico,221100,0.526332538,2016 +New Mexico,221200,0.1858393,2016 +New Mexico,221300,0.287828162,2016 +New York,221100,0.755165113,2016 +New York,221200,0.173070839,2016 +New York,221300,0.071764047,2016 +North Carolina,221100,0.724643503,2016 +North Carolina,221200,0.140456584,2016 +North Carolina,221300,0.134899913,2016 +North Dakota,221100,0.933736859,2016 +North Dakota,221200,0,2016 +North Dakota,221300,0.066263141,2016 +Ohio,221100,0.472068008,2016 +Ohio,221200,0.190596808,2016 +Ohio,221300,0.337335184,2016 +Oklahoma,221100,0.439176035,2016 +Oklahoma,221200,0.287571438,2016 +Oklahoma,221300,0.273252528,2016 +Oregon,221100,0.522041475,2016 +Oregon,221200,0.148019372,2016 +Oregon,221300,0.329939153,2016 +Pennsylvania,221100,0.495828051,2016 +Pennsylvania,221200,0.141138662,2016 +Pennsylvania,221300,0.363033287,2016 +Rhode Island,221100,1,2016 +Rhode Island,221200,0,2016 +Rhode Island,221300,0,2016 +South Carolina,221100,0.735953625,2016 +South Carolina,221200,0.059752835,2016 +South Carolina,221300,0.204293541,2016 +South Dakota,221100,0.784051511,2016 +South Dakota,221200,0.098068351,2016 +South Dakota,221300,0.117880139,2016 +Tennessee,221100,0.730508397,2016 +Tennessee,221200,0.081789632,2016 +Tennessee,221300,0.187701971,2016 +Texas,221100,0.555251299,2016 +Texas,221200,0.090057345,2016 +Texas,221300,0.354691357,2016 +Utah,221100,0.459684411,2016 +Utah,221200,0.132131091,2016 +Utah,221300,0.408184498,2016 +Vermont,221100,0.842703727,2016 +Vermont,221200,0,2016 +Vermont,221300,0.157296273,2016 +Virginia,221100,0.481246168,2016 +Virginia,221200,0.087555035,2016 +Virginia,221300,0.431198796,2016 +Washington,221100,0.659468439,2016 +Washington,221200,0.035901833,2016 +Washington,221300,0.304629729,2016 +West Virginia,221100,0.734571484,2016 +West Virginia,221200,0.140839621,2016 +West Virginia,221300,0.124588895,2016 +Wisconsin,221100,0.748179764,2016 +Wisconsin,221200,0.064775295,2016 +Wisconsin,221300,0.187044941,2016 +Wyoming,221100,0.863351605,2016 +Wyoming,221200,0.091620987,2016 +Wyoming,221300,0.045027408,2016 +Alabama,221100,0.685589327,2017 +Alabama,221200,0.101342993,2017 +Alabama,221300,0.21306768,2017 +Alaska,221100,0.717052433,2017 +Alaska,221200,0.135096835,2017 +Alaska,221300,0.147850732,2017 +Arizona,221100,0.992919426,2017 +Arizona,221200,0,2017 +Arizona,221300,0.007080574,2017 +Arkansas,221100,0.536775771,2017 +Arkansas,221200,0.09951091,2017 +Arkansas,221300,0.363713318,2017 +California,221100,0.369990057,2017 +California,221200,0,2017 +California,221300,0.630009943,2017 +Colorado,221100,0.792548583,2017 +Colorado,221200,0.105211041,2017 +Colorado,221300,0.102240376,2017 +Connecticut,221100,0.547513142,2017 +Connecticut,221200,0.105405041,2017 +Connecticut,221300,0.347081817,2017 +Delaware,221100,1,2017 +Delaware,221200,0,2017 +Delaware,221300,0,2017 +District Of Columbia,221100,,2017 +District Of Columbia,221200,,2017 +District Of Columbia,221300,,2017 +Florida,221100,0.7621746,2017 +Florida,221200,0.056082148,2017 +Florida,221300,0.181743252,2017 +Georgia,221100,0.830908255,2017 +Georgia,221200,0.10603972,2017 +Georgia,221300,0.063052024,2017 +Hawaii,221100,1,2017 +Hawaii,221200,0,2017 +Hawaii,221300,0,2017 +Idaho,221100,0.765112891,2017 +Idaho,221200,0,2017 +Idaho,221300,0.234887109,2017 +Illinois,221100,0.65659469,2017 +Illinois,221200,0.167139726,2017 +Illinois,221300,0.176265584,2017 +Indiana,221100,0.711434594,2017 +Indiana,221200,0.11632196,2017 +Indiana,221300,0.172243446,2017 +Iowa,221100,0.784584734,2017 +Iowa,221200,0.070227867,2017 +Iowa,221300,0.145187399,2017 +Kansas,221100,0.611369509,2017 +Kansas,221200,0.220801034,2017 +Kansas,221300,0.167829457,2017 +Kentucky,221100,0.552446447,2017 +Kentucky,221200,0.073907201,2017 +Kentucky,221300,0.373646352,2017 +Louisiana,221100,0.470292268,2017 +Louisiana,221200,0.096559378,2017 +Louisiana,221300,0.433148354,2017 +Maine,221100,0.495286195,2017 +Maine,221200,0.042760943,2017 +Maine,221300,0.461952862,2017 +Maryland,221100,0.890848953,2017 +Maryland,221200,0.058835321,2017 +Maryland,221300,0.050315726,2017 +Massachusetts,221100,0.558402084,2017 +Massachusetts,221200,0.213489651,2017 +Massachusetts,221300,0.228108265,2017 +Michigan,221100,0.807010439,2017 +Michigan,221200,0.109206263,2017 +Michigan,221300,0.083783297,2017 +Minnesota,221100,0.825519331,2017 +Minnesota,221200,0.115406809,2017 +Minnesota,221300,0.05907386,2017 +Mississippi,221100,0.712993161,2017 +Mississippi,221200,0.065965281,2017 +Mississippi,221300,0.221041557,2017 +Missouri,221100,0.510860733,2017 +Missouri,221200,0.149450192,2017 +Missouri,221300,0.339689074,2017 +Montana,221100,0.806397306,2017 +Montana,221200,0.125589226,2017 +Montana,221300,0.068013468,2017 +Nebraska,221100,0.89516129,2017 +Nebraska,221200,0.10483871,2017 +Nebraska,221300,0,2017 +Nevada,221100,0.67238806,2017 +Nevada,221200,0,2017 +Nevada,221300,0.32761194,2017 +New Hampshire,221100,0.731433506,2017 +New Hampshire,221200,0.115716753,2017 +New Hampshire,221300,0.152849741,2017 +New Jersey,221100,0.519991478,2017 +New Jersey,221200,0.325332008,2017 +New Jersey,221300,0.154676514,2017 +New Mexico,221100,0.524895599,2017 +New Mexico,221200,0.186476068,2017 +New Mexico,221300,0.288628333,2017 +New York,221100,0.755705084,2017 +New York,221200,0.170230598,2017 +New York,221300,0.074064318,2017 +North Carolina,221100,0.726704736,2017 +North Carolina,221200,0.139402083,2017 +North Carolina,221300,0.133893181,2017 +North Dakota,221100,0.931213498,2017 +North Dakota,221200,0,2017 +North Dakota,221300,0.068786502,2017 +Ohio,221100,0.467317073,2017 +Ohio,221200,0.193763066,2017 +Ohio,221300,0.338919861,2017 +Oklahoma,221100,0.464630438,2017 +Oklahoma,221200,0.249966944,2017 +Oklahoma,221300,0.285402618,2017 +Oregon,221100,0.693427677,2017 +Oregon,221200,0,2017 +Oregon,221300,0.306572323,2017 +Pennsylvania,221100,0.487891124,2017 +Pennsylvania,221200,0.14459335,2017 +Pennsylvania,221300,0.367515526,2017 +Rhode Island,221100,0.643573382,2017 +Rhode Island,221200,0,2017 +Rhode Island,221300,0.356426618,2017 +South Carolina,221100,0.725662589,2017 +South Carolina,221200,0.059441896,2017 +South Carolina,221300,0.214895515,2017 +South Dakota,221100,0.78123432,2017 +South Dakota,221200,0.098344205,2017 +South Dakota,221300,0.120421475,2017 +Tennessee,221100,0.725737059,2017 +Tennessee,221200,0.085231647,2017 +Tennessee,221300,0.189031294,2017 +Texas,221100,0.55209891,2017 +Texas,221200,0.090496857,2017 +Texas,221300,0.357404233,2017 +Utah,221100,0.456155287,2017 +Utah,221200,0.136386855,2017 +Utah,221300,0.407457858,2017 +Vermont,221100,0.837116155,2017 +Vermont,221200,0,2017 +Vermont,221300,0.162883845,2017 +Virginia,221100,0.474710133,2017 +Virginia,221200,0.090741052,2017 +Virginia,221300,0.434548815,2017 +Washington,221100,0.661472044,2017 +Washington,221200,0.036853743,2017 +Washington,221300,0.301674213,2017 +West Virginia,221100,0.74801812,2017 +West Virginia,221200,0.135522839,2017 +West Virginia,221300,0.116459041,2017 +Wisconsin,221100,0.746179178,2017 +Wisconsin,221200,0.064004053,2017 +Wisconsin,221300,0.189816769,2017 +Wyoming,221100,0.863800723,2017 +Wyoming,221200,0.097227802,2017 +Wyoming,221300,0.038971474,2017 +Alabama,221100,0.684650792,2018 +Alabama,221200,0.100115075,2018 +Alabama,221300,0.215234133,2018 +Alaska,221100,0.722095672,2018 +Alaska,221200,0.133029613,2018 +Alaska,221300,0.144874715,2018 +Arizona,221100,0.992877869,2018 +Arizona,221200,0,2018 +Arizona,221300,0.007122131,2018 +Arkansas,221100,0.539253898,2018 +Arkansas,221200,0.096696362,2018 +Arkansas,221300,0.36404974,2018 +California,221100,0.367978709,2018 +California,221200,0,2018 +California,221300,0.632021291,2018 +Colorado,221100,0.786674969,2018 +Colorado,221200,0.108592777,2018 +Colorado,221300,0.104732254,2018 +Connecticut,221100,0.542258376,2018 +Connecticut,221200,0.10106163,2018 +Connecticut,221300,0.356679994,2018 +Delaware,221100,1,2018 +Delaware,221200,0,2018 +Delaware,221300,0,2018 +District Of Columbia,221100,1,2018 +District Of Columbia,221200,0,2018 +District Of Columbia,221300,0,2018 +Florida,221100,0.754378791,2018 +Florida,221200,0.058542902,2018 +Florida,221300,0.187078307,2018 +Georgia,221100,0.822259484,2018 +Georgia,221200,0.103489834,2018 +Georgia,221300,0.074250681,2018 +Hawaii,221100,1,2018 +Hawaii,221200,0,2018 +Hawaii,221300,0,2018 +Idaho,221100,0.764980266,2018 +Idaho,221200,0,2018 +Idaho,221300,0.235019734,2018 +Illinois,221100,0.655706551,2018 +Illinois,221200,0.165190577,2018 +Illinois,221300,0.179102872,2018 +Indiana,221100,0.713987746,2018 +Indiana,221200,0.117520532,2018 +Indiana,221300,0.168491722,2018 +Iowa,221100,0.784264595,2018 +Iowa,221200,0.071661238,2018 +Iowa,221300,0.144074167,2018 +Kansas,221100,0.597987288,2018 +Kansas,221200,0.227092161,2018 +Kansas,221300,0.174920551,2018 +Kentucky,221100,0.551100939,2018 +Kentucky,221200,0.075842475,2018 +Kentucky,221300,0.373056586,2018 +Louisiana,221100,0.476566499,2018 +Louisiana,221200,0.094172699,2018 +Louisiana,221300,0.429260803,2018 +Maine,221100,0.485470085,2018 +Maine,221200,0.043076923,2018 +Maine,221300,0.471452991,2018 +Maryland,221100,0.882885602,2018 +Maryland,221200,0.061776839,2018 +Maryland,221300,0.055337559,2018 +Massachusetts,221100,0.57645838,2018 +Massachusetts,221200,0.186865318,2018 +Massachusetts,221300,0.236676303,2018 +Michigan,221100,0.805064309,2018 +Michigan,221200,0.110173276,2018 +Michigan,221300,0.084762415,2018 +Minnesota,221100,0.82362765,2018 +Minnesota,221200,0.115814696,2018 +Minnesota,221300,0.060557653,2018 +Mississippi,221100,0.706699434,2018 +Mississippi,221200,0.067314884,2018 +Mississippi,221300,0.225985682,2018 +Missouri,221100,0.63969132,2018 +Missouri,221200,0.016116916,2018 +Missouri,221300,0.344191764,2018 +Montana,221100,0.809181226,2018 +Montana,221200,0.125727989,2018 +Montana,221300,0.065090785,2018 +Nebraska,221100,0.763048559,2018 +Nebraska,221200,0.104388471,2018 +Nebraska,221300,0.132562971,2018 +Nevada,221100,0.710163764,2018 +Nevada,221200,0,2018 +Nevada,221300,0.289836236,2018 +New Hampshire,221100,0.723056537,2018 +New Hampshire,221200,0.11704947,2018 +New Hampshire,221300,0.159893993,2018 +New Jersey,221100,0.493773473,2018 +New Jersey,221200,0.359096001,2018 +New Jersey,221300,0.147130526,2018 +New Mexico,221100,0.51841132,2018 +New Mexico,221200,0.18684676,2018 +New Mexico,221300,0.29474192,2018 +New York,221100,0.806985619,2018 +New York,221200,0.116081583,2018 +New York,221300,0.076932798,2018 +North Carolina,221100,0.736254517,2018 +North Carolina,221200,0.131775942,2018 +North Carolina,221300,0.131969541,2018 +North Dakota,221100,0.706827309,2018 +North Dakota,221200,0.193273092,2018 +North Dakota,221300,0.099899598,2018 +Ohio,221100,0.466490085,2018 +Ohio,221200,0.19367093,2018 +Ohio,221300,0.339838985,2018 +Oklahoma,221100,0.465747979,2018 +Oklahoma,221200,0.248973102,2018 +Oklahoma,221300,0.285278919,2018 +Oregon,221100,0.692224476,2018 +Oregon,221200,0,2018 +Oregon,221300,0.307775524,2018 +Pennsylvania,221100,0.481121995,2018 +Pennsylvania,221200,0.146631048,2018 +Pennsylvania,221300,0.372246958,2018 +Rhode Island,221100,1,2018 +Rhode Island,221200,0,2018 +Rhode Island,221300,0,2018 +South Carolina,221100,0.736942866,2018 +South Carolina,221200,0.055698474,2018 +South Carolina,221300,0.20735866,2018 +South Dakota,221100,0.777047523,2018 +South Dakota,221200,0.103134479,2018 +South Dakota,221300,0.119817998,2018 +Tennessee,221100,0.724128553,2018 +Tennessee,221200,0.085490232,2018 +Tennessee,221300,0.190381216,2018 +Texas,221100,0.54508251,2018 +Texas,221200,0.095136072,2018 +Texas,221300,0.359781418,2018 +Utah,221100,0.459624175,2018 +Utah,221200,0.127137295,2018 +Utah,221300,0.413238531,2018 +Vermont,221100,0.834561286,2018 +Vermont,221200,0,2018 +Vermont,221300,0.165438714,2018 +Virginia,221100,0.465734344,2018 +Virginia,221200,0.09399376,2018 +Virginia,221300,0.440271897,2018 +Washington,221100,0.663883415,2018 +Washington,221200,0.037288663,2018 +Washington,221300,0.298827922,2018 +West Virginia,221100,0.744980296,2018 +West Virginia,221200,0.137736911,2018 +West Virginia,221300,0.117282792,2018 +Wisconsin,221100,0.73359443,2018 +Wisconsin,221200,0.068929504,2018 +Wisconsin,221300,0.197476066,2018 +Wyoming,221100,0.830885272,2018 +Wyoming,221200,0.132989281,2018 +Wyoming,221300,0.036125447,2018 From d49adae5d2bea7241fba729af9dee3941f37245e Mon Sep 17 00:00:00 2001 From: jvendries Date: Mon, 3 Apr 2023 21:53:20 -0400 Subject: [PATCH 05/39] deleted deprecated commented lines --- R/BuildModel.R | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index babd4ff..c79fb21 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -631,8 +631,7 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { # Initialize model model <- getStateModelDisaggSpecs(disagg_specs) - #stateDisaggFile <- "Employment_ratios.csv" - #model <- getStateModelDisaggSpecs(disagg_specs, stateDisaggFile) + if(length(model$DisaggregationSpecs)!=0){ disagg <- model$DisaggregationSpecs[[1]] From 29a16f1b10da9eabfce6fd536f21162d414a3892 Mon Sep 17 00:00:00 2001 From: jvendries Date: Tue, 4 Apr 2023 16:06:22 -0400 Subject: [PATCH 06/39] Updated ratios file to include national ratios for the three detail level sectors. See the following commit: https://github.com/USEPA/USEEIOStateMethod/commit/26fffbc95be5edec6be1c207ffdd582b461e166a --- .../extdata/disaggspecs/Employment_ratios.csv | 924 +++++++++--------- 1 file changed, 462 insertions(+), 462 deletions(-) diff --git a/inst/extdata/disaggspecs/Employment_ratios.csv b/inst/extdata/disaggspecs/Employment_ratios.csv index 02efd48..e022e87 100644 --- a/inst/extdata/disaggspecs/Employment_ratios.csv +++ b/inst/extdata/disaggspecs/Employment_ratios.csv @@ -1,469 +1,469 @@ State,ActivityProducedBy,Share,Year -US,221100,0.34,2016 -US,221200,0.33,2016 -US,221300,0.33,2016 -Alabama,221100,0.695839807,2016 -Alabama,221200,0.099991369,2016 -Alabama,221300,0.204168824,2016 -Alaska,221100,0.714622642,2016 -Alaska,221200,0.137264151,2016 -Alaska,221300,0.148113208,2016 -Arizona,221100,0.992974696,2016 -Arizona,221200,0,2016 -Arizona,221300,0.007025304,2016 -Arkansas,221100,0.532969103,2016 -Arkansas,221200,0.104370761,2016 -Arkansas,221300,0.362660136,2016 -California,221100,0.362389321,2016 -California,221200,0,2016 -California,221300,0.637610679,2016 -Colorado,221100,0.795752427,2016 -Colorado,221200,0.10631068,2016 -Colorado,221300,0.097936893,2016 -Connecticut,221100,0.551421189,2016 -Connecticut,221200,0.109043928,2016 -Connecticut,221300,0.339534884,2016 -Delaware,221100,1,2016 -Delaware,221200,0,2016 -Delaware,221300,0,2016 +US,221100,0.6354175796809285,2016 +US,221200,0.10814819143178722,2016 +US,221300,0.2564342288872843,2016 +US,221100,0.6343800234578942,2017 +US,221200,0.10686993127004159,2017 +US,221300,0.2587500452720642,2017 +US,221100,0.6370838539604272,2018 +US,221200,0.1030946587508028,2018 +US,221300,0.25982148728876997,2018 +Alabama,221100,0.6958398066632142,2016 +Alabama,221200,0.09999136889349215,2016 +Alabama,221300,0.20416882444329362,2016 +Alaska,221100,0.714622641509434,2016 +Alaska,221200,0.13726415094339622,2016 +Alaska,221300,0.1481132075471698,2016 +Arizona,221100,0.992974695895401,2016 +Arizona,221200,0.0,2016 +Arizona,221300,0.007025304104598972,2016 +Arkansas,221100,0.5329691032403918,2016 +Arkansas,221200,0.10437076111529767,2016 +Arkansas,221300,0.3626601356443105,2016 +California,221100,0.36238932052002404,2016 +California,221200,0.0,2016 +California,221300,0.637610679479976,2016 +Colorado,221100,0.795752427184466,2016 +Colorado,221200,0.10631067961165049,2016 +Colorado,221300,0.09793689320388349,2016 +Connecticut,221100,0.5514211886304909,2016 +Connecticut,221200,0.10904392764857881,2016 +Connecticut,221300,0.3395348837209302,2016 +Delaware,221100,1.0,2016 +Delaware,221200,0.0,2016 +Delaware,221300,0.0,2016 District Of Columbia,221100,,2016 District Of Columbia,221200,,2016 District Of Columbia,221300,,2016 -Florida,221100,0.770640299,2016 -Florida,221200,0.055144517,2016 -Florida,221300,0.174215185,2016 -Georgia,221100,0.842013456,2016 -Georgia,221200,0.100373785,2016 -Georgia,221300,0.057612759,2016 -Hawaii,221100,1,2016 -Hawaii,221200,0,2016 -Hawaii,221300,0,2016 -Idaho,221100,0.765361121,2016 -Idaho,221200,0,2016 -Idaho,221300,0.234638879,2016 -Illinois,221100,0.669548546,2016 -Illinois,221200,0.160504992,2016 -Illinois,221300,0.169946462,2016 -Indiana,221100,0.711171662,2016 -Indiana,221200,0.113710374,2016 -Indiana,221300,0.175117964,2016 -Iowa,221100,0.784425216,2016 -Iowa,221200,0.070457355,2016 -Iowa,221300,0.145117429,2016 -Kansas,221100,0.615777381,2016 -Kansas,221200,0.222108757,2016 -Kansas,221300,0.162113863,2016 -Kentucky,221100,0.558191371,2016 -Kentucky,221200,0.07283872,2016 -Kentucky,221300,0.368969909,2016 -Louisiana,221100,0.469060691,2016 -Louisiana,221200,0.100237424,2016 -Louisiana,221300,0.430701885,2016 -Maine,221100,0.483214649,2016 -Maine,221200,0.051881994,2016 -Maine,221300,0.464903357,2016 -Maryland,221100,0.892700875,2016 -Maryland,221200,0.056881464,2016 -Maryland,221300,0.050417661,2016 -Massachusetts,221100,0.555312571,2016 -Massachusetts,221200,0.208430737,2016 -Massachusetts,221300,0.236256693,2016 -Michigan,221100,0.8395624,2016 -Michigan,221200,0.113437881,2016 -Michigan,221300,0.046999718,2016 -Minnesota,221100,0.832679272,2016 -Minnesota,221200,0.112022833,2016 -Minnesota,221300,0.055297895,2016 -Mississippi,221100,0.719206569,2016 -Mississippi,221200,0.068145462,2016 -Mississippi,221300,0.212647968,2016 -Missouri,221100,0.512934541,2016 -Missouri,221200,0.144584847,2016 -Missouri,221300,0.342480612,2016 -Montana,221100,0.747123045,2016 -Montana,221200,0.11065211,2016 -Montana,221300,0.142224845,2016 -Nebraska,221100,0.771677783,2016 -Nebraska,221200,0.105823499,2016 -Nebraska,221300,0.122498717,2016 -Nevada,221100,0.674134927,2016 -Nevada,221200,0,2016 -Nevada,221300,0.325865073,2016 -New Hampshire,221100,0.736531987,2016 -New Hampshire,221200,0.103114478,2016 -New Hampshire,221300,0.160353535,2016 -New Jersey,221100,0.539482086,2016 -New Jersey,221200,0.305427457,2016 -New Jersey,221300,0.155090458,2016 -New Mexico,221100,0.526332538,2016 -New Mexico,221200,0.1858393,2016 -New Mexico,221300,0.287828162,2016 -New York,221100,0.755165113,2016 -New York,221200,0.173070839,2016 -New York,221300,0.071764047,2016 -North Carolina,221100,0.724643503,2016 -North Carolina,221200,0.140456584,2016 -North Carolina,221300,0.134899913,2016 -North Dakota,221100,0.933736859,2016 -North Dakota,221200,0,2016 -North Dakota,221300,0.066263141,2016 -Ohio,221100,0.472068008,2016 -Ohio,221200,0.190596808,2016 -Ohio,221300,0.337335184,2016 -Oklahoma,221100,0.439176035,2016 -Oklahoma,221200,0.287571438,2016 -Oklahoma,221300,0.273252528,2016 -Oregon,221100,0.522041475,2016 -Oregon,221200,0.148019372,2016 -Oregon,221300,0.329939153,2016 -Pennsylvania,221100,0.495828051,2016 -Pennsylvania,221200,0.141138662,2016 -Pennsylvania,221300,0.363033287,2016 -Rhode Island,221100,1,2016 -Rhode Island,221200,0,2016 -Rhode Island,221300,0,2016 -South Carolina,221100,0.735953625,2016 -South Carolina,221200,0.059752835,2016 -South Carolina,221300,0.204293541,2016 -South Dakota,221100,0.784051511,2016 -South Dakota,221200,0.098068351,2016 -South Dakota,221300,0.117880139,2016 -Tennessee,221100,0.730508397,2016 -Tennessee,221200,0.081789632,2016 -Tennessee,221300,0.187701971,2016 -Texas,221100,0.555251299,2016 -Texas,221200,0.090057345,2016 -Texas,221300,0.354691357,2016 -Utah,221100,0.459684411,2016 -Utah,221200,0.132131091,2016 -Utah,221300,0.408184498,2016 -Vermont,221100,0.842703727,2016 -Vermont,221200,0,2016 -Vermont,221300,0.157296273,2016 -Virginia,221100,0.481246168,2016 -Virginia,221200,0.087555035,2016 -Virginia,221300,0.431198796,2016 -Washington,221100,0.659468439,2016 -Washington,221200,0.035901833,2016 -Washington,221300,0.304629729,2016 -West Virginia,221100,0.734571484,2016 -West Virginia,221200,0.140839621,2016 -West Virginia,221300,0.124588895,2016 -Wisconsin,221100,0.748179764,2016 -Wisconsin,221200,0.064775295,2016 -Wisconsin,221300,0.187044941,2016 -Wyoming,221100,0.863351605,2016 -Wyoming,221200,0.091620987,2016 -Wyoming,221300,0.045027408,2016 -US,221100,0.34,2017 -US,221200,0.33,2017 -US,221300,0.33,2017 -Alabama,221100,0.685589327,2017 -Alabama,221200,0.101342993,2017 -Alabama,221300,0.21306768,2017 -Alaska,221100,0.717052433,2017 -Alaska,221200,0.135096835,2017 -Alaska,221300,0.147850732,2017 -Arizona,221100,0.992919426,2017 -Arizona,221200,0,2017 -Arizona,221300,0.007080574,2017 -Arkansas,221100,0.536775771,2017 -Arkansas,221200,0.09951091,2017 -Arkansas,221300,0.363713318,2017 -California,221100,0.369990057,2017 -California,221200,0,2017 -California,221300,0.630009943,2017 -Colorado,221100,0.792548583,2017 -Colorado,221200,0.105211041,2017 -Colorado,221300,0.102240376,2017 -Connecticut,221100,0.547513142,2017 -Connecticut,221200,0.105405041,2017 -Connecticut,221300,0.347081817,2017 -Delaware,221100,1,2017 -Delaware,221200,0,2017 -Delaware,221300,0,2017 +Florida,221100,0.7706402987138709,2016 +Florida,221200,0.05514451666436178,2016 +Florida,221300,0.17421518462176738,2016 +Georgia,221100,0.8420134562671319,2016 +Georgia,221200,0.10037378519810615,2016 +Georgia,221300,0.057612758534762026,2016 +Hawaii,221100,1.0,2016 +Hawaii,221200,0.0,2016 +Hawaii,221300,0.0,2016 +Idaho,221100,0.7653611210923464,2016 +Idaho,221200,0.0,2016 +Idaho,221300,0.23463887890765361,2016 +Illinois,221100,0.6695485457965562,2016 +Illinois,221200,0.1605049920416727,2016 +Illinois,221300,0.1699464621617711,2016 +Indiana,221100,0.7111716621253406,2016 +Indiana,221200,0.11371037416096232,2016 +Indiana,221300,0.1751179637136971,2016 +Iowa,221100,0.78442521631644,2016 +Iowa,221200,0.07045735475896168,2016 +Iowa,221300,0.14511742892459828,2016 +Kansas,221100,0.6157773806484554,2016 +Kansas,221200,0.2221087567015573,2016 +Kansas,221300,0.16211386264998723,2016 +Kentucky,221100,0.5581913708008279,2016 +Kentucky,221200,0.0728387199490527,2016 +Kentucky,221300,0.3689699092501194,2016 +Louisiana,221100,0.46906069149725477,2016 +Louisiana,221200,0.10023742395014097,2016 +Louisiana,221300,0.4307018845526042,2016 +Maine,221100,0.4832146490335707,2016 +Maine,221200,0.05188199389623601,2016 +Maine,221300,0.4649033570701933,2016 +Maryland,221100,0.8927008750994431,2016 +Maryland,221200,0.056881463802704854,2016 +Maryland,221300,0.05041766109785203,2016 +Massachusetts,221100,0.5553125706960259,2016 +Massachusetts,221200,0.20843073674685167,2016 +Massachusetts,221300,0.2362566925571224,2016 +Michigan,221100,0.8395624002253733,2016 +Michigan,221200,0.11343788149121983,2016 +Michigan,221300,0.04699971828340689,2016 +Minnesota,221100,0.8326792722083483,2016 +Minnesota,221200,0.11202283267927221,2016 +Minnesota,221300,0.05529789511237959,2016 +Mississippi,221100,0.7192065692652234,2016 +Mississippi,221200,0.0681454623013757,2016 +Mississippi,221300,0.21264796843340086,2016 +Missouri,221100,0.5129345409187049,2016 +Missouri,221200,0.14458484733445415,2016 +Missouri,221300,0.3424806117468409,2016 +Montana,221100,0.7471230451460608,2016 +Montana,221200,0.1106521097668929,2016 +Montana,221300,0.14222484508704633,2016 +Nebraska,221100,0.7716777834787071,2016 +Nebraska,221200,0.10582349923037455,2016 +Nebraska,221300,0.12249871729091842,2016 +Nevada,221100,0.674134926562111,2016 +Nevada,221200,0.0,2016 +Nevada,221300,0.32586507343788895,2016 +New Hampshire,221100,0.7365319865319865,2016 +New Hampshire,221200,0.10311447811447812,2016 +New Hampshire,221300,0.16035353535353536,2016 +New Jersey,221100,0.5394820858460447,2016 +New Jersey,221200,0.3054274565448741,2016 +New Jersey,221300,0.15509045760908124,2016 +New Mexico,221100,0.5263325377883851,2016 +New Mexico,221200,0.1858392999204455,2016 +New Mexico,221300,0.2878281622911695,2016 +New York,221100,0.755165113279634,2016 +New York,221200,0.17307083931569853,2016 +New York,221300,0.07176404740466746,2016 +North Carolina,221100,0.7246435027113878,2016 +North Carolina,221200,0.1404565843208141,2016 +North Carolina,221300,0.13489991296779807,2016 +North Dakota,221100,0.9337368588722523,2016 +North Dakota,221200,0.0,2016 +North Dakota,221300,0.06626314112774769,2016 +Ohio,221100,0.4720680083275503,2016 +Ohio,221200,0.19059680777238028,2016 +Ohio,221300,0.3373351839000694,2016 +Oklahoma,221100,0.43917603466683414,2016 +Oklahoma,221200,0.28757143754317654,2016 +Oklahoma,221300,0.2732525277899893,2016 +Oregon,221100,0.5220414752266236,2016 +Oregon,221200,0.14801937166273438,2016 +Oregon,221300,0.329939153110642,2016 +Pennsylvania,221100,0.4958280508299673,2016 +Pennsylvania,221200,0.14113866202789163,2016 +Pennsylvania,221300,0.3630332871421411,2016 +Rhode Island,221100,1.0,2016 +Rhode Island,221200,0.0,2016 +Rhode Island,221300,0.0,2016 +South Carolina,221100,0.7359536246655625,2016 +South Carolina,221200,0.059752834756019876,2016 +South Carolina,221300,0.20429354057841764,2016 +South Dakota,221100,0.784051510648836,2016 +South Dakota,221200,0.09806835066864784,2016 +South Dakota,221300,0.1178801386825161,2016 +Tennessee,221100,0.7305083974329798,2016 +Tennessee,221200,0.08178963178735606,2016 +Tennessee,221300,0.1877019707796641,2016 +Texas,221100,0.5552512985497993,2016 +Texas,221200,0.09005734494148851,2016 +Texas,221300,0.35469135650871225,2016 +Utah,221100,0.45968441130570487,2016 +Utah,221200,0.1321310906883995,2016 +Utah,221300,0.4081844980058956,2016 +Vermont,221100,0.8427037271004422,2016 +Vermont,221200,0.0,2016 +Vermont,221300,0.1572962728995578,2016 +Virginia,221100,0.48124616842222595,2016 +Virginia,221200,0.08755503538984562,2016 +Virginia,221300,0.43119879618792845,2016 +Washington,221100,0.659468438538206,2016 +Washington,221200,0.03590183260100739,2016 +Washington,221300,0.30462972886078665,2016 +West Virginia,221100,0.734571483846005,2016 +West Virginia,221200,0.1408396208164055,2016 +West Virginia,221300,0.12458889533758948,2016 +Wisconsin,221100,0.7481797639969872,2016 +Wisconsin,221200,0.06477529500376601,2016 +Wisconsin,221300,0.1870449409992468,2016 +Wyoming,221100,0.8633516053249805,2016 +Wyoming,221200,0.09162098668754894,2016 +Wyoming,221300,0.04502740798747063,2016 +Alabama,221100,0.6855893267361725,2017 +Alabama,221200,0.10134299346174236,2017 +Alabama,221300,0.21306767980208519,2017 +Alaska,221100,0.7170524326877658,2017 +Alaska,221200,0.1350968351440718,2017 +Alaska,221300,0.1478507321681625,2017 +Arizona,221100,0.9929194256867502,2017 +Arizona,221200,0.0,2017 +Arizona,221300,0.007080574313249852,2017 +Arkansas,221100,0.5367757712565839,2017 +Arkansas,221200,0.09951091045899173,2017 +Arkansas,221300,0.3637133182844244,2017 +California,221100,0.36999005660088724,2017 +California,221200,0.0,2017 +California,221300,0.6300099433991128,2017 +Colorado,221100,0.7925485827453893,2017 +Colorado,221200,0.10521104097041713,2017 +Colorado,221300,0.1022403762841936,2017 +Connecticut,221100,0.547513141932875,2017 +Connecticut,221200,0.10540504111066182,2017 +Connecticut,221300,0.3470818169564631,2017 +Delaware,221100,1.0,2017 +Delaware,221200,0.0,2017 +Delaware,221300,0.0,2017 District Of Columbia,221100,,2017 District Of Columbia,221200,,2017 District Of Columbia,221300,,2017 -Florida,221100,0.7621746,2017 -Florida,221200,0.056082148,2017 -Florida,221300,0.181743252,2017 -Georgia,221100,0.830908255,2017 -Georgia,221200,0.10603972,2017 -Georgia,221300,0.063052024,2017 -Hawaii,221100,1,2017 -Hawaii,221200,0,2017 -Hawaii,221300,0,2017 -Idaho,221100,0.765112891,2017 -Idaho,221200,0,2017 -Idaho,221300,0.234887109,2017 -Illinois,221100,0.65659469,2017 -Illinois,221200,0.167139726,2017 -Illinois,221300,0.176265584,2017 -Indiana,221100,0.711434594,2017 -Indiana,221200,0.11632196,2017 -Indiana,221300,0.172243446,2017 -Iowa,221100,0.784584734,2017 -Iowa,221200,0.070227867,2017 -Iowa,221300,0.145187399,2017 -Kansas,221100,0.611369509,2017 -Kansas,221200,0.220801034,2017 -Kansas,221300,0.167829457,2017 -Kentucky,221100,0.552446447,2017 -Kentucky,221200,0.073907201,2017 -Kentucky,221300,0.373646352,2017 -Louisiana,221100,0.470292268,2017 -Louisiana,221200,0.096559378,2017 -Louisiana,221300,0.433148354,2017 -Maine,221100,0.495286195,2017 -Maine,221200,0.042760943,2017 -Maine,221300,0.461952862,2017 -Maryland,221100,0.890848953,2017 -Maryland,221200,0.058835321,2017 -Maryland,221300,0.050315726,2017 -Massachusetts,221100,0.558402084,2017 -Massachusetts,221200,0.213489651,2017 -Massachusetts,221300,0.228108265,2017 -Michigan,221100,0.807010439,2017 -Michigan,221200,0.109206263,2017 -Michigan,221300,0.083783297,2017 -Minnesota,221100,0.825519331,2017 -Minnesota,221200,0.115406809,2017 -Minnesota,221300,0.05907386,2017 -Mississippi,221100,0.712993161,2017 -Mississippi,221200,0.065965281,2017 -Mississippi,221300,0.221041557,2017 -Missouri,221100,0.510860733,2017 -Missouri,221200,0.149450192,2017 -Missouri,221300,0.339689074,2017 -Montana,221100,0.806397306,2017 -Montana,221200,0.125589226,2017 -Montana,221300,0.068013468,2017 -Nebraska,221100,0.89516129,2017 -Nebraska,221200,0.10483871,2017 -Nebraska,221300,0,2017 -Nevada,221100,0.67238806,2017 -Nevada,221200,0,2017 -Nevada,221300,0.32761194,2017 -New Hampshire,221100,0.731433506,2017 -New Hampshire,221200,0.115716753,2017 -New Hampshire,221300,0.152849741,2017 -New Jersey,221100,0.519991478,2017 -New Jersey,221200,0.325332008,2017 -New Jersey,221300,0.154676514,2017 -New Mexico,221100,0.524895599,2017 -New Mexico,221200,0.186476068,2017 -New Mexico,221300,0.288628333,2017 -New York,221100,0.755705084,2017 -New York,221200,0.170230598,2017 -New York,221300,0.074064318,2017 -North Carolina,221100,0.726704736,2017 -North Carolina,221200,0.139402083,2017 -North Carolina,221300,0.133893181,2017 -North Dakota,221100,0.931213498,2017 -North Dakota,221200,0,2017 -North Dakota,221300,0.068786502,2017 -Ohio,221100,0.467317073,2017 -Ohio,221200,0.193763066,2017 -Ohio,221300,0.338919861,2017 -Oklahoma,221100,0.464630438,2017 -Oklahoma,221200,0.249966944,2017 -Oklahoma,221300,0.285402618,2017 -Oregon,221100,0.693427677,2017 -Oregon,221200,0,2017 -Oregon,221300,0.306572323,2017 -Pennsylvania,221100,0.487891124,2017 -Pennsylvania,221200,0.14459335,2017 -Pennsylvania,221300,0.367515526,2017 -Rhode Island,221100,0.643573382,2017 -Rhode Island,221200,0,2017 -Rhode Island,221300,0.356426618,2017 -South Carolina,221100,0.725662589,2017 -South Carolina,221200,0.059441896,2017 -South Carolina,221300,0.214895515,2017 -South Dakota,221100,0.78123432,2017 -South Dakota,221200,0.098344205,2017 -South Dakota,221300,0.120421475,2017 -Tennessee,221100,0.725737059,2017 -Tennessee,221200,0.085231647,2017 -Tennessee,221300,0.189031294,2017 -Texas,221100,0.55209891,2017 -Texas,221200,0.090496857,2017 -Texas,221300,0.357404233,2017 -Utah,221100,0.456155287,2017 -Utah,221200,0.136386855,2017 -Utah,221300,0.407457858,2017 -Vermont,221100,0.837116155,2017 -Vermont,221200,0,2017 -Vermont,221300,0.162883845,2017 -Virginia,221100,0.474710133,2017 -Virginia,221200,0.090741052,2017 -Virginia,221300,0.434548815,2017 -Washington,221100,0.661472044,2017 -Washington,221200,0.036853743,2017 -Washington,221300,0.301674213,2017 -West Virginia,221100,0.74801812,2017 -West Virginia,221200,0.135522839,2017 -West Virginia,221300,0.116459041,2017 -Wisconsin,221100,0.746179178,2017 -Wisconsin,221200,0.064004053,2017 -Wisconsin,221300,0.189816769,2017 -Wyoming,221100,0.863800723,2017 -Wyoming,221200,0.097227802,2017 -Wyoming,221300,0.038971474,2017 -US,221100,0.34,2018 -US,221200,0.33,2018 -US,221300,0.33,2018 -Alabama,221100,0.684650792,2018 -Alabama,221200,0.100115075,2018 -Alabama,221300,0.215234133,2018 -Alaska,221100,0.722095672,2018 -Alaska,221200,0.133029613,2018 -Alaska,221300,0.144874715,2018 -Arizona,221100,0.992877869,2018 -Arizona,221200,0,2018 -Arizona,221300,0.007122131,2018 -Arkansas,221100,0.539253898,2018 -Arkansas,221200,0.096696362,2018 -Arkansas,221300,0.36404974,2018 -California,221100,0.367978709,2018 -California,221200,0,2018 -California,221300,0.632021291,2018 -Colorado,221100,0.786674969,2018 -Colorado,221200,0.108592777,2018 -Colorado,221300,0.104732254,2018 -Connecticut,221100,0.542258376,2018 -Connecticut,221200,0.10106163,2018 -Connecticut,221300,0.356679994,2018 -Delaware,221100,1,2018 -Delaware,221200,0,2018 -Delaware,221300,0,2018 -District Of Columbia,221100,1,2018 -District Of Columbia,221200,0,2018 -District Of Columbia,221300,0,2018 -Florida,221100,0.754378791,2018 -Florida,221200,0.058542902,2018 -Florida,221300,0.187078307,2018 -Georgia,221100,0.822259484,2018 -Georgia,221200,0.103489834,2018 -Georgia,221300,0.074250681,2018 -Hawaii,221100,1,2018 -Hawaii,221200,0,2018 -Hawaii,221300,0,2018 -Idaho,221100,0.764980266,2018 -Idaho,221200,0,2018 -Idaho,221300,0.235019734,2018 -Illinois,221100,0.655706551,2018 -Illinois,221200,0.165190577,2018 -Illinois,221300,0.179102872,2018 -Indiana,221100,0.713987746,2018 -Indiana,221200,0.117520532,2018 -Indiana,221300,0.168491722,2018 -Iowa,221100,0.784264595,2018 -Iowa,221200,0.071661238,2018 -Iowa,221300,0.144074167,2018 -Kansas,221100,0.597987288,2018 -Kansas,221200,0.227092161,2018 -Kansas,221300,0.174920551,2018 -Kentucky,221100,0.551100939,2018 -Kentucky,221200,0.075842475,2018 -Kentucky,221300,0.373056586,2018 -Louisiana,221100,0.476566499,2018 -Louisiana,221200,0.094172699,2018 -Louisiana,221300,0.429260803,2018 -Maine,221100,0.485470085,2018 -Maine,221200,0.043076923,2018 -Maine,221300,0.471452991,2018 -Maryland,221100,0.882885602,2018 -Maryland,221200,0.061776839,2018 -Maryland,221300,0.055337559,2018 -Massachusetts,221100,0.57645838,2018 -Massachusetts,221200,0.186865318,2018 -Massachusetts,221300,0.236676303,2018 -Michigan,221100,0.805064309,2018 -Michigan,221200,0.110173276,2018 -Michigan,221300,0.084762415,2018 -Minnesota,221100,0.82362765,2018 -Minnesota,221200,0.115814696,2018 -Minnesota,221300,0.060557653,2018 -Mississippi,221100,0.706699434,2018 -Mississippi,221200,0.067314884,2018 -Mississippi,221300,0.225985682,2018 -Missouri,221100,0.63969132,2018 -Missouri,221200,0.016116916,2018 -Missouri,221300,0.344191764,2018 -Montana,221100,0.809181226,2018 -Montana,221200,0.125727989,2018 -Montana,221300,0.065090785,2018 -Nebraska,221100,0.763048559,2018 -Nebraska,221200,0.104388471,2018 -Nebraska,221300,0.132562971,2018 -Nevada,221100,0.710163764,2018 -Nevada,221200,0,2018 -Nevada,221300,0.289836236,2018 -New Hampshire,221100,0.723056537,2018 -New Hampshire,221200,0.11704947,2018 -New Hampshire,221300,0.159893993,2018 -New Jersey,221100,0.493773473,2018 -New Jersey,221200,0.359096001,2018 -New Jersey,221300,0.147130526,2018 -New Mexico,221100,0.51841132,2018 -New Mexico,221200,0.18684676,2018 -New Mexico,221300,0.29474192,2018 -New York,221100,0.806985619,2018 -New York,221200,0.116081583,2018 -New York,221300,0.076932798,2018 -North Carolina,221100,0.736254517,2018 -North Carolina,221200,0.131775942,2018 -North Carolina,221300,0.131969541,2018 -North Dakota,221100,0.706827309,2018 -North Dakota,221200,0.193273092,2018 -North Dakota,221300,0.099899598,2018 -Ohio,221100,0.466490085,2018 -Ohio,221200,0.19367093,2018 -Ohio,221300,0.339838985,2018 -Oklahoma,221100,0.465747979,2018 -Oklahoma,221200,0.248973102,2018 -Oklahoma,221300,0.285278919,2018 -Oregon,221100,0.692224476,2018 -Oregon,221200,0,2018 -Oregon,221300,0.307775524,2018 -Pennsylvania,221100,0.481121995,2018 -Pennsylvania,221200,0.146631048,2018 -Pennsylvania,221300,0.372246958,2018 -Rhode Island,221100,1,2018 -Rhode Island,221200,0,2018 -Rhode Island,221300,0,2018 -South Carolina,221100,0.736942866,2018 -South Carolina,221200,0.055698474,2018 -South Carolina,221300,0.20735866,2018 -South Dakota,221100,0.777047523,2018 -South Dakota,221200,0.103134479,2018 -South Dakota,221300,0.119817998,2018 -Tennessee,221100,0.724128553,2018 -Tennessee,221200,0.085490232,2018 -Tennessee,221300,0.190381216,2018 -Texas,221100,0.54508251,2018 -Texas,221200,0.095136072,2018 -Texas,221300,0.359781418,2018 -Utah,221100,0.459624175,2018 -Utah,221200,0.127137295,2018 -Utah,221300,0.413238531,2018 -Vermont,221100,0.834561286,2018 -Vermont,221200,0,2018 -Vermont,221300,0.165438714,2018 -Virginia,221100,0.465734344,2018 -Virginia,221200,0.09399376,2018 -Virginia,221300,0.440271897,2018 -Washington,221100,0.663883415,2018 -Washington,221200,0.037288663,2018 -Washington,221300,0.298827922,2018 -West Virginia,221100,0.744980296,2018 -West Virginia,221200,0.137736911,2018 -West Virginia,221300,0.117282792,2018 -Wisconsin,221100,0.73359443,2018 -Wisconsin,221200,0.068929504,2018 -Wisconsin,221300,0.197476066,2018 -Wyoming,221100,0.830885272,2018 -Wyoming,221200,0.132989281,2018 -Wyoming,221300,0.036125447,2018 +Florida,221100,0.7621745999038395,2017 +Florida,221200,0.05608214849921011,2017 +Florida,221300,0.18174325159695034,2017 +Georgia,221100,0.8309082554755706,2017 +Georgia,221200,0.10603972022259663,2017 +Georgia,221300,0.06305202430183285,2017 +Hawaii,221100,1.0,2017 +Hawaii,221200,0.0,2017 +Hawaii,221300,0.0,2017 +Idaho,221100,0.7651128914785142,2017 +Idaho,221200,0.0,2017 +Idaho,221300,0.2348871085214858,2017 +Illinois,221100,0.6565946897567636,2017 +Illinois,221200,0.16713972622426615,2017 +Illinois,221300,0.1762655840189703,2017 +Indiana,221100,0.7114345935976815,2017 +Indiana,221200,0.11632196021604532,2017 +Indiana,221300,0.1722434461862732,2017 +Iowa,221100,0.7845847341551488,2017 +Iowa,221200,0.07022786701531565,2017 +Iowa,221300,0.14518739882953555,2017 +Kansas,221100,0.6113695090439276,2017 +Kansas,221200,0.22080103359173125,2017 +Kansas,221300,0.16782945736434107,2017 +Kentucky,221100,0.552446446921192,2017 +Kentucky,221200,0.07390720101177772,2017 +Kentucky,221300,0.3736463520670303,2017 +Louisiana,221100,0.47029226785053646,2017 +Louisiana,221200,0.09655937846836848,2017 +Louisiana,221300,0.43314835368109506,2017 +Maine,221100,0.4952861952861953,2017 +Maine,221200,0.04276094276094276,2017 +Maine,221300,0.46195286195286195,2017 +Maryland,221100,0.8908489525909592,2017 +Maryland,221200,0.05883532123884935,2017 +Maryland,221300,0.05031572617019144,2017 +Massachusetts,221100,0.5584020842379505,2017 +Massachusetts,221200,0.2134896511796208,2017 +Massachusetts,221300,0.22810826458242872,2017 +Michigan,221100,0.8070104391648668,2017 +Michigan,221200,0.10920626349892008,2017 +Michigan,221300,0.0837832973362131,2017 +Minnesota,221100,0.8255193306405078,2017 +Minnesota,221200,0.1154068090017311,2017 +Minnesota,221300,0.05907386035776111,2017 +Mississippi,221100,0.7129931614939505,2017 +Mississippi,221200,0.06596528143082588,2017 +Mississippi,221300,0.22104155707522358,2017 +Missouri,221100,0.5108607334380586,2017 +Missouri,221200,0.14945019229727532,2017 +Missouri,221300,0.33968907426466605,2017 +Montana,221100,0.8063973063973064,2017 +Montana,221200,0.12558922558922558,2017 +Montana,221300,0.06801346801346801,2017 +Nebraska,221100,0.8951612903225806,2017 +Nebraska,221200,0.10483870967741936,2017 +Nebraska,221300,0.0,2017 +Nevada,221100,0.6723880597014925,2017 +Nevada,221200,0.0,2017 +Nevada,221300,0.3276119402985075,2017 +New Hampshire,221100,0.731433506044905,2017 +New Hampshire,221200,0.1157167530224525,2017 +New Hampshire,221300,0.15284974093264247,2017 +New Jersey,221100,0.5199914778779916,2017 +New Jersey,221200,0.32533200766990983,2017 +New Jersey,221300,0.15467651445209857,2017 +New Mexico,221100,0.5248955991005461,2017 +New Mexico,221200,0.1864760681015098,2017 +New Mexico,221300,0.2886283327979441,2017 +New York,221100,0.7557050836905247,2017 +New York,221200,0.17023059792629486,2017 +New York,221300,0.07406431838318048,2017 +North Carolina,221100,0.7267047363117232,2017 +North Carolina,221200,0.1394020826335237,2017 +North Carolina,221300,0.13389318105475312,2017 +North Dakota,221100,0.9312134977287476,2017 +North Dakota,221200,0.0,2017 +North Dakota,221300,0.06878650227125244,2017 +Ohio,221100,0.46731707317073173,2017 +Ohio,221200,0.1937630662020906,2017 +Ohio,221300,0.3389198606271777,2017 +Oklahoma,221100,0.4646304376570144,2017 +Oklahoma,221200,0.2499669443342589,2017 +Oklahoma,221300,0.2854026180087267,2017 +Oregon,221100,0.693427677234998,2017 +Oregon,221200,0.0,2017 +Oregon,221300,0.306572322765002,2017 +Pennsylvania,221100,0.48789112411969215,2017 +Pennsylvania,221200,0.1445933497756515,2017 +Pennsylvania,221300,0.3675155261046563,2017 +Rhode Island,221100,0.6435733819507748,2017 +Rhode Island,221200,0.0,2017 +Rhode Island,221300,0.35642661804922515,2017 +South Carolina,221100,0.7256625891946993,2017 +South Carolina,221200,0.059441896024464834,2017 +South Carolina,221300,0.21489551478083588,2017 +South Dakota,221100,0.7812343201204215,2017 +South Dakota,221200,0.09834420471650777,2017 +South Dakota,221300,0.12042147516307075,2017 +Tennessee,221100,0.7257370590100086,2017 +Tennessee,221200,0.08523164711743128,2017 +Tennessee,221300,0.18903129387256012,2017 +Texas,221100,0.5520989095152996,2017 +Texas,221200,0.09049685741031159,2017 +Texas,221300,0.3574042330743888,2017 +Utah,221100,0.45615528690618085,2017 +Utah,221200,0.13638685509960838,2017 +Utah,221300,0.4074578579942108,2017 +Vermont,221100,0.8371161548731643,2017 +Vermont,221200,0.0,2017 +Vermont,221300,0.1628838451268358,2017 +Virginia,221100,0.4747101327507982,2017 +Virginia,221200,0.09074105192404638,2017 +Virginia,221300,0.43454881532515544,2017 +Washington,221100,0.6614720438033063,2017 +Washington,221200,0.0368537432873539,2017 +Washington,221300,0.30167421290933977,2017 +West Virginia,221100,0.7480181200453001,2017 +West Virginia,221200,0.135522838807097,2017 +West Virginia,221300,0.11645904114760287,2017 +Wisconsin,221100,0.74617917757325,2017 +Wisconsin,221200,0.06400405302710462,2017 +Wisconsin,221300,0.18981676939964537,2017 +Wyoming,221100,0.8638007231820009,2017 +Wyoming,221200,0.09722780233025312,2017 +Wyoming,221300,0.038971474487746086,2017 +Alabama,221100,0.684650792245729,2018 +Alabama,221200,0.1001150747986191,2018 +Alabama,221300,0.21523413295565194,2018 +Alaska,221100,0.7220956719817767,2018 +Alaska,221200,0.13302961275626424,2018 +Alaska,221300,0.144874715261959,2018 +Arizona,221100,0.9928778686362437,2018 +Arizona,221200,0.0,2018 +Arizona,221300,0.007122131363756265,2018 +Arkansas,221100,0.5392538975501113,2018 +Arkansas,221200,0.09669636228656273,2018 +Arkansas,221300,0.3640497401633259,2018 +California,221100,0.3679787085025914,2018 +California,221200,0.0,2018 +California,221300,0.6320212914974086,2018 +Colorado,221100,0.7866749688667497,2018 +Colorado,221200,0.10859277708592777,2018 +Colorado,221300,0.10473225404732255,2018 +Connecticut,221100,0.5422583758444781,2018 +Connecticut,221200,0.10106162967048118,2018 +Connecticut,221300,0.3566799944850407,2018 +Delaware,221100,1.0,2018 +Delaware,221200,0.0,2018 +Delaware,221300,0.0,2018 +District Of Columbia,221100,1.0,2018 +District Of Columbia,221200,0.0,2018 +District Of Columbia,221300,0.0,2018 +Florida,221100,0.7543787909766237,2018 +Florida,221200,0.0585429019287126,2018 +Florida,221300,0.18707830709466367,2018 +Georgia,221100,0.822259484384825,2018 +Georgia,221200,0.10348983441626493,2018 +Georgia,221300,0.07425068119891008,2018 +Hawaii,221100,1.0,2018 +Hawaii,221200,0.0,2018 +Hawaii,221300,0.0,2018 +Idaho,221100,0.7649802655184786,2018 +Idaho,221200,0.0,2018 +Idaho,221300,0.23501973448152136,2018 +Illinois,221100,0.6557065509699165,2018 +Illinois,221200,0.16519057692997238,2018 +Illinois,221300,0.17910287210011117,2018 +Indiana,221100,0.7139877460565767,2018 +Indiana,221200,0.11752053187328901,2018 +Indiana,221300,0.16849172207013427,2018 +Iowa,221100,0.7842645953395139,2018 +Iowa,221200,0.07166123778501629,2018 +Iowa,221300,0.1440741668754698,2018 +Kansas,221100,0.5979872881355932,2018 +Kansas,221200,0.22709216101694915,2018 +Kansas,221300,0.17492055084745764,2018 +Kentucky,221100,0.5511009391523952,2018 +Kentucky,221200,0.07584247494278273,2018 +Kentucky,221300,0.37305658590482205,2018 +Louisiana,221100,0.4765664985011333,2018 +Louisiana,221200,0.09417269869123346,2018 +Louisiana,221300,0.42926080280763323,2018 +Maine,221100,0.48547008547008547,2018 +Maine,221200,0.043076923076923075,2018 +Maine,221300,0.47145299145299147,2018 +Maryland,221100,0.8828856021732568,2018 +Maryland,221200,0.06177683871616863,2018 +Maryland,221300,0.0553375591105745,2018 +Massachusetts,221100,0.5764583796605144,2018 +Massachusetts,221200,0.1868653176191535,2018 +Massachusetts,221300,0.23667630272033208,2018 +Michigan,221100,0.805064308681672,2018 +Michigan,221200,0.11017327617006073,2018 +Michigan,221300,0.08476241514826724,2018 +Minnesota,221100,0.8236276503049667,2018 +Minnesota,221200,0.11581469648562301,2018 +Minnesota,221300,0.060557653209410395,2018 +Mississippi,221100,0.7066994337001816,2018 +Mississippi,221200,0.06731488406881077,2018 +Mississippi,221300,0.2259856822310076,2018 +Missouri,221100,0.6396913200846821,2018 +Missouri,221200,0.01611691593252749,2018 +Missouri,221300,0.3441917639827904,2018 +Montana,221100,0.8091812264474135,2018 +Montana,221200,0.12572798903734156,2018 +Montana,221300,0.06509078451524494,2018 +Nebraska,221100,0.763048558815892,2018 +Nebraska,221200,0.1043884705271358,2018 +Nebraska,221300,0.13256297065697223,2018 +Nevada,221100,0.7101637639719262,2018 +Nevada,221200,0.0,2018 +Nevada,221300,0.28983623602807385,2018 +New Hampshire,221100,0.7230565371024735,2018 +New Hampshire,221200,0.11704946996466431,2018 +New Hampshire,221300,0.1598939929328622,2018 +New Jersey,221100,0.4937734730183831,2018 +New Jersey,221200,0.3590960005271134,2018 +New Jersey,221300,0.14713052645450353,2018 +New Mexico,221100,0.5184113201479338,2018 +New Mexico,221200,0.18684675992924907,2018 +New Mexico,221300,0.2947419199228172,2018 +New York,221100,0.8069856193292391,2018 +New York,221200,0.11608158313746304,2018 +New York,221300,0.07693279753329794,2018 +North Carolina,221100,0.7362545172947857,2018 +North Carolina,221200,0.13177594217862673,2018 +North Carolina,221300,0.13196954052658752,2018 +North Dakota,221100,0.7068273092369478,2018 +North Dakota,221200,0.1932730923694779,2018 +North Dakota,221300,0.09989959839357429,2018 +Ohio,221100,0.46649008468964553,2018 +Ohio,221200,0.1936709301920329,2018 +Ohio,221300,0.33983898511832156,2018 +Oklahoma,221100,0.46574797932953493,2018 +Oklahoma,221200,0.24897310189479263,2018 +Oklahoma,221300,0.28527891877567246,2018 +Oregon,221100,0.6922244759972954,2018 +Oregon,221200,0.0,2018 +Oregon,221300,0.3077755240027045,2018 +Pennsylvania,221100,0.4811219946571683,2018 +Pennsylvania,221200,0.14663104778866132,2018 +Pennsylvania,221300,0.37224695755417037,2018 +Rhode Island,221100,1.0,2018 +Rhode Island,221200,0.0,2018 +Rhode Island,221300,0.0,2018 +South Carolina,221100,0.7369428656895004,2018 +South Carolina,221200,0.055698474424169905,2018 +South Carolina,221300,0.20735865988632965,2018 +South Dakota,221100,0.7770475227502528,2018 +South Dakota,221200,0.10313447927199192,2018 +South Dakota,221300,0.1198179979777553,2018 +Tennessee,221100,0.724128552649472,2018 +Tennessee,221200,0.08549023163047913,2018 +Tennessee,221300,0.19038121572004896,2018 +Texas,221100,0.5450825098397949,2018 +Texas,221200,0.09513607202609502,2018 +Texas,221300,0.3597814181341101,2018 +Utah,221100,0.45962417470797357,2018 +Utah,221200,0.1271372947350601,2018 +Utah,221300,0.4132385305569663,2018 +Vermont,221100,0.8345612860013396,2018 +Vermont,221200,0.0,2018 +Vermont,221300,0.16543871399866042,2018 +Virginia,221100,0.46573434365946065,2018 +Virginia,221200,0.09399375975039001,2018 +Virginia,221300,0.4402718965901493,2018 +Washington,221100,0.6638834145835494,2018 +Washington,221200,0.037288663001763304,2018 +Washington,221300,0.29882792241468725,2018 +West Virginia,221100,0.7449802964908988,2018 +West Virginia,221200,0.13773691124038281,2018 +West Virginia,221300,0.11728279226871834,2018 +Wisconsin,221100,0.7335944299390774,2018 +Wisconsin,221200,0.06892950391644909,2018 +Wisconsin,221300,0.19747606614447347,2018 +Wyoming,221100,0.8308852719333069,2018 +Wyoming,221200,0.13298928146089717,2018 +Wyoming,221300,0.036125446605795954,2018 From 2d768f5e4b4194fc1a1120e49b4c6619e2ae834c Mon Sep 17 00:00:00 2001 From: jvendries Date: Tue, 4 Apr 2023 19:17:32 -0400 Subject: [PATCH 07/39] Added call to createDisaggFilesFromProxyData function to create Make, Use, and Env data for each state --- R/BuildModel.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/R/BuildModel.R b/R/BuildModel.R index c79fb21..52014d0 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -648,6 +648,8 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { #ERROR HERE FOR DISAGG BY PROXY: NEED TO DECIDE IF WE WANT TO REFACTOR THIS CODE TO WORK ONLY FOR DISAGG BY PROXY, IF WE WANT TO KEEP THIS VERSION (DISAGG BASED ON # 2020 DETAIL MODEL), OR IF WE WANT TO KEEP BOTH # Disaggregate national model objects once (i.e. not for each state) + model <- createDisaggFilesFromProxyData(model, disagg, year, "US") + model <- disaggregateNationalObjectsInStateModel(model, disagg) # Assign the disaggregated model objects to the original stateior objects, rename some as national From ad8a6fc9dcd7058e2d11d4bcc3f507e3ea6cc6f3 Mon Sep 17 00:00:00 2001 From: jvendries Date: Tue, 4 Apr 2023 19:18:20 -0400 Subject: [PATCH 08/39] Added creareDisaggFilesFromProxyData function, which is intended to create Use, Make, and Env disaggregation DFs for each state based on proxy data --- R/StateDisaggFunctions.R | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 3e53cf5..712db88 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -290,3 +290,33 @@ disaggregateStateSectorLists <- function(code_vector, disagg) { return(newList) } + + +#### Functions below this line are used for creating disaggFiles from Proxy data, e.g., Make and USe files from Employment ratios. + +#' Create Make, Use, and Env ratio files for each state from Proxy data for the relevant sectors. +#' @param model An stateior model object with model specs and specific IO tables loaded +#' @param disagg Specifications for disaggregating the current Table +#' @param disaggYear Integer specifying the state model year +#' @param disaggState A string value that indicates the state model being disaggregated. For national models, string should be "US" +#' @return +createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggState){ + + temp <-1 + + #Get subset of ratios for current year + stateDFYear <- subset(disagg$stateDF, Year == disaggYear & State == disaggState) + # outputDF <- data.frame(IndustryCode = character(), CommodityCode = character(), PercentUse = double(), Note = character()) + # Default Make DF based on proxy employment values + industries <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) + commodities <- disagg$DisaggregatedSectorCodes + PercentUse <- stateDFYear$Share # need to add code to ensure that the order of stateDF$Share is the same as the order of disagg$DisaggregatedSectorCodes + note <- c(rep("CommodityDisagg", length(disagg$DisaggregatedSectorCodes))) + UseDF <- data.frame(cbind(industries, commodities, PercentUse, note)) #need to rename the columns with the correct column names + + + + temp <-2 + return(model) + +} From 4fb5ef791ea82d40b07803e7e1934a09eba1b44a Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 5 Apr 2023 17:39:47 -0400 Subject: [PATCH 09/39] In function createDisaggFilesFromProxyData: Added code to create Use and Make DF based on proxy data from Employment_ratios.csv Currently debugging errors from resulting model object and disagg specs on following function call: model <- disaggregateNationalObjectsInStateModel(model, disagg) --- R/BuildModel.R | 8 ++++++-- R/StateDisaggFunctions.R | 40 +++++++++++++++++++++++++++++++++++----- 2 files changed, 41 insertions(+), 7 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index 52014d0..73dc9d0 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -648,8 +648,12 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { #ERROR HERE FOR DISAGG BY PROXY: NEED TO DECIDE IF WE WANT TO REFACTOR THIS CODE TO WORK ONLY FOR DISAGG BY PROXY, IF WE WANT TO KEEP THIS VERSION (DISAGG BASED ON # 2020 DETAIL MODEL), OR IF WE WANT TO KEEP BOTH # Disaggregate national model objects once (i.e. not for each state) - model <- createDisaggFilesFromProxyData(model, disagg, year, "US") - + if(!is.null(disagg$stateDF)){ + + model <- createDisaggFilesFromProxyData(model, disagg, year, "US") + disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg + } + model <- disaggregateNationalObjectsInStateModel(model, disagg) # Assign the disaggregated model objects to the original stateior objects, rename some as national diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 712db88..89992d2 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -109,8 +109,8 @@ disaggregateNationalObjectsInStateModel <- function(model, disagg){ model <- splitFullUse(model, domestic = FALSE) # Disaggregate model objects - model$MakeTransactions <- useeior:::disaggregateMakeTable(model, disagg) - model$MakeTransactions[is.na(model$MakeTransactions)] <- 0 + # model$MakeTransactions <- useeior:::disaggregateMakeTable(model, disagg) + # model$MakeTransactions[is.na(model$MakeTransactions)] <- 0 model$DomesticUseTransactions <- useeior:::disaggregateUseTable(model, disagg, domestic = TRUE) model$DomesticUseTransactions[is.na(model$DomesticUseTransactions)] <- 0 @@ -123,6 +123,9 @@ disaggregateNationalObjectsInStateModel <- function(model, disagg){ model$UseValueAdded <- useeior:::disaggregateVA(model, disagg) model$UseValueAdded[is.na(model$UseValueAdded)] <- 0 + model$MakeTransactions <- useeior:::disaggregateMakeTable(model, disagg) + model$MakeTransactions[is.na(model$MakeTransactions)] <- 0 + model$Industries <- disaggregateStateSectorLists(model$Industries, disagg) model$Commodities <- disaggregateStateSectorLists(model$Commodities, disagg) @@ -302,18 +305,45 @@ disaggregateStateSectorLists <- function(code_vector, disagg) { #' @return createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggState){ + # Note: this function assumes: + # 1) The disaggregation will use the same proxy values for all disaggregated sectors across all rows and columns. + # That is, if we are disaggregating Summary 22 into the 3 Detail utility sectors, and the proxy allocations are (for example) 0.5/0.25/0.25, then + # in the Use table, the three Detail utility commodities (rows) will have that same split for across all columns (industries/final demand) + # 2) The disagg parameter will contain a disagg$stateDF variable that includes the data for the relevant disaggState and disaggYear parameters. + temp <-1 #Get subset of ratios for current year stateDFYear <- subset(disagg$stateDF, Year == disaggYear & State == disaggState) - # outputDF <- data.frame(IndustryCode = character(), CommodityCode = character(), PercentUse = double(), Note = character()) + # Default Make DF based on proxy employment values + # Specifying commodity disaggregation (column splits) for Make DF industries <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) commodities <- disagg$DisaggregatedSectorCodes - PercentUse <- stateDFYear$Share # need to add code to ensure that the order of stateDF$Share is the same as the order of disagg$DisaggregatedSectorCodes + PercentMake <- stateDFYear$Share # need to add code to ensure that the order of stateDF$Share is the same as the order of disagg$DisaggregatedSectorCodes note <- c(rep("CommodityDisagg", length(disagg$DisaggregatedSectorCodes))) - UseDF <- data.frame(cbind(industries, commodities, PercentUse, note)) #need to rename the columns with the correct column names + makeDF <- data.frame(cbind(industries, commodities, PercentMake, note)) #need to rename the columns with the correct column names + colnames(makeDF) <- c("IndustryCode","CommodityCode", "PercentMake", "Note") + + + # Default Use DF based on employment ratios + # Specifying industry disaggregation (column splits) for Use DF + industries <- disagg$DisaggregatedSectorCodes + commodities <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) + PercentUse <- stateDFYear$Share + note <- c(rep("IndustryDisagg", length(disagg$DisaggregatedSectorCodes))) + + useDF <- data.frame(cbind(industries, commodities, PercentUse, note)) #need to rename the columns with the correct column names + colnames(useDF) <- c("IndustryCode","CommodityCode", "PercentUse", "Note") + + useDF <- rbind(useDF, makeDF) #need to bid makeDF because disaggregation procedure requires the UseDF to have the default commodity and industry output. + + # Add new DFs to disagg and to model + disagg$MakeFileDF <- makeDF + disagg$UseFileDF <- useDF + + model$DisaggregationSpecs[[disagg$OriginalSectorCode]] <- disagg temp <-2 From 86bbd68159b973207a5d37db448ba9762a3eeddd Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 5 Apr 2023 18:30:52 -0400 Subject: [PATCH 10/39] Remove Employment ratios backup csv --- .../disaggspecs/Employment_ratios_backup.csv | 460 ------------------ 1 file changed, 460 deletions(-) delete mode 100644 inst/extdata/disaggspecs/Employment_ratios_backup.csv diff --git a/inst/extdata/disaggspecs/Employment_ratios_backup.csv b/inst/extdata/disaggspecs/Employment_ratios_backup.csv deleted file mode 100644 index 76e88cd..0000000 --- a/inst/extdata/disaggspecs/Employment_ratios_backup.csv +++ /dev/null @@ -1,460 +0,0 @@ -State,ActivityProducedBy,Share,Year -Alabama,221100,0.695839807,2016 -Alabama,221200,0.099991369,2016 -Alabama,221300,0.204168824,2016 -Alaska,221100,0.714622642,2016 -Alaska,221200,0.137264151,2016 -Alaska,221300,0.148113208,2016 -Arizona,221100,0.992974696,2016 -Arizona,221200,0,2016 -Arizona,221300,0.007025304,2016 -Arkansas,221100,0.532969103,2016 -Arkansas,221200,0.104370761,2016 -Arkansas,221300,0.362660136,2016 -California,221100,0.362389321,2016 -California,221200,0,2016 -California,221300,0.637610679,2016 -Colorado,221100,0.795752427,2016 -Colorado,221200,0.10631068,2016 -Colorado,221300,0.097936893,2016 -Connecticut,221100,0.551421189,2016 -Connecticut,221200,0.109043928,2016 -Connecticut,221300,0.339534884,2016 -Delaware,221100,1,2016 -Delaware,221200,0,2016 -Delaware,221300,0,2016 -District Of Columbia,221100,,2016 -District Of Columbia,221200,,2016 -District Of Columbia,221300,,2016 -Florida,221100,0.770640299,2016 -Florida,221200,0.055144517,2016 -Florida,221300,0.174215185,2016 -Georgia,221100,0.842013456,2016 -Georgia,221200,0.100373785,2016 -Georgia,221300,0.057612759,2016 -Hawaii,221100,1,2016 -Hawaii,221200,0,2016 -Hawaii,221300,0,2016 -Idaho,221100,0.765361121,2016 -Idaho,221200,0,2016 -Idaho,221300,0.234638879,2016 -Illinois,221100,0.669548546,2016 -Illinois,221200,0.160504992,2016 -Illinois,221300,0.169946462,2016 -Indiana,221100,0.711171662,2016 -Indiana,221200,0.113710374,2016 -Indiana,221300,0.175117964,2016 -Iowa,221100,0.784425216,2016 -Iowa,221200,0.070457355,2016 -Iowa,221300,0.145117429,2016 -Kansas,221100,0.615777381,2016 -Kansas,221200,0.222108757,2016 -Kansas,221300,0.162113863,2016 -Kentucky,221100,0.558191371,2016 -Kentucky,221200,0.07283872,2016 -Kentucky,221300,0.368969909,2016 -Louisiana,221100,0.469060691,2016 -Louisiana,221200,0.100237424,2016 -Louisiana,221300,0.430701885,2016 -Maine,221100,0.483214649,2016 -Maine,221200,0.051881994,2016 -Maine,221300,0.464903357,2016 -Maryland,221100,0.892700875,2016 -Maryland,221200,0.056881464,2016 -Maryland,221300,0.050417661,2016 -Massachusetts,221100,0.555312571,2016 -Massachusetts,221200,0.208430737,2016 -Massachusetts,221300,0.236256693,2016 -Michigan,221100,0.8395624,2016 -Michigan,221200,0.113437881,2016 -Michigan,221300,0.046999718,2016 -Minnesota,221100,0.832679272,2016 -Minnesota,221200,0.112022833,2016 -Minnesota,221300,0.055297895,2016 -Mississippi,221100,0.719206569,2016 -Mississippi,221200,0.068145462,2016 -Mississippi,221300,0.212647968,2016 -Missouri,221100,0.512934541,2016 -Missouri,221200,0.144584847,2016 -Missouri,221300,0.342480612,2016 -Montana,221100,0.747123045,2016 -Montana,221200,0.11065211,2016 -Montana,221300,0.142224845,2016 -Nebraska,221100,0.771677783,2016 -Nebraska,221200,0.105823499,2016 -Nebraska,221300,0.122498717,2016 -Nevada,221100,0.674134927,2016 -Nevada,221200,0,2016 -Nevada,221300,0.325865073,2016 -New Hampshire,221100,0.736531987,2016 -New Hampshire,221200,0.103114478,2016 -New Hampshire,221300,0.160353535,2016 -New Jersey,221100,0.539482086,2016 -New Jersey,221200,0.305427457,2016 -New Jersey,221300,0.155090458,2016 -New Mexico,221100,0.526332538,2016 -New Mexico,221200,0.1858393,2016 -New Mexico,221300,0.287828162,2016 -New York,221100,0.755165113,2016 -New York,221200,0.173070839,2016 -New York,221300,0.071764047,2016 -North Carolina,221100,0.724643503,2016 -North Carolina,221200,0.140456584,2016 -North Carolina,221300,0.134899913,2016 -North Dakota,221100,0.933736859,2016 -North Dakota,221200,0,2016 -North Dakota,221300,0.066263141,2016 -Ohio,221100,0.472068008,2016 -Ohio,221200,0.190596808,2016 -Ohio,221300,0.337335184,2016 -Oklahoma,221100,0.439176035,2016 -Oklahoma,221200,0.287571438,2016 -Oklahoma,221300,0.273252528,2016 -Oregon,221100,0.522041475,2016 -Oregon,221200,0.148019372,2016 -Oregon,221300,0.329939153,2016 -Pennsylvania,221100,0.495828051,2016 -Pennsylvania,221200,0.141138662,2016 -Pennsylvania,221300,0.363033287,2016 -Rhode Island,221100,1,2016 -Rhode Island,221200,0,2016 -Rhode Island,221300,0,2016 -South Carolina,221100,0.735953625,2016 -South Carolina,221200,0.059752835,2016 -South Carolina,221300,0.204293541,2016 -South Dakota,221100,0.784051511,2016 -South Dakota,221200,0.098068351,2016 -South Dakota,221300,0.117880139,2016 -Tennessee,221100,0.730508397,2016 -Tennessee,221200,0.081789632,2016 -Tennessee,221300,0.187701971,2016 -Texas,221100,0.555251299,2016 -Texas,221200,0.090057345,2016 -Texas,221300,0.354691357,2016 -Utah,221100,0.459684411,2016 -Utah,221200,0.132131091,2016 -Utah,221300,0.408184498,2016 -Vermont,221100,0.842703727,2016 -Vermont,221200,0,2016 -Vermont,221300,0.157296273,2016 -Virginia,221100,0.481246168,2016 -Virginia,221200,0.087555035,2016 -Virginia,221300,0.431198796,2016 -Washington,221100,0.659468439,2016 -Washington,221200,0.035901833,2016 -Washington,221300,0.304629729,2016 -West Virginia,221100,0.734571484,2016 -West Virginia,221200,0.140839621,2016 -West Virginia,221300,0.124588895,2016 -Wisconsin,221100,0.748179764,2016 -Wisconsin,221200,0.064775295,2016 -Wisconsin,221300,0.187044941,2016 -Wyoming,221100,0.863351605,2016 -Wyoming,221200,0.091620987,2016 -Wyoming,221300,0.045027408,2016 -Alabama,221100,0.685589327,2017 -Alabama,221200,0.101342993,2017 -Alabama,221300,0.21306768,2017 -Alaska,221100,0.717052433,2017 -Alaska,221200,0.135096835,2017 -Alaska,221300,0.147850732,2017 -Arizona,221100,0.992919426,2017 -Arizona,221200,0,2017 -Arizona,221300,0.007080574,2017 -Arkansas,221100,0.536775771,2017 -Arkansas,221200,0.09951091,2017 -Arkansas,221300,0.363713318,2017 -California,221100,0.369990057,2017 -California,221200,0,2017 -California,221300,0.630009943,2017 -Colorado,221100,0.792548583,2017 -Colorado,221200,0.105211041,2017 -Colorado,221300,0.102240376,2017 -Connecticut,221100,0.547513142,2017 -Connecticut,221200,0.105405041,2017 -Connecticut,221300,0.347081817,2017 -Delaware,221100,1,2017 -Delaware,221200,0,2017 -Delaware,221300,0,2017 -District Of Columbia,221100,,2017 -District Of Columbia,221200,,2017 -District Of Columbia,221300,,2017 -Florida,221100,0.7621746,2017 -Florida,221200,0.056082148,2017 -Florida,221300,0.181743252,2017 -Georgia,221100,0.830908255,2017 -Georgia,221200,0.10603972,2017 -Georgia,221300,0.063052024,2017 -Hawaii,221100,1,2017 -Hawaii,221200,0,2017 -Hawaii,221300,0,2017 -Idaho,221100,0.765112891,2017 -Idaho,221200,0,2017 -Idaho,221300,0.234887109,2017 -Illinois,221100,0.65659469,2017 -Illinois,221200,0.167139726,2017 -Illinois,221300,0.176265584,2017 -Indiana,221100,0.711434594,2017 -Indiana,221200,0.11632196,2017 -Indiana,221300,0.172243446,2017 -Iowa,221100,0.784584734,2017 -Iowa,221200,0.070227867,2017 -Iowa,221300,0.145187399,2017 -Kansas,221100,0.611369509,2017 -Kansas,221200,0.220801034,2017 -Kansas,221300,0.167829457,2017 -Kentucky,221100,0.552446447,2017 -Kentucky,221200,0.073907201,2017 -Kentucky,221300,0.373646352,2017 -Louisiana,221100,0.470292268,2017 -Louisiana,221200,0.096559378,2017 -Louisiana,221300,0.433148354,2017 -Maine,221100,0.495286195,2017 -Maine,221200,0.042760943,2017 -Maine,221300,0.461952862,2017 -Maryland,221100,0.890848953,2017 -Maryland,221200,0.058835321,2017 -Maryland,221300,0.050315726,2017 -Massachusetts,221100,0.558402084,2017 -Massachusetts,221200,0.213489651,2017 -Massachusetts,221300,0.228108265,2017 -Michigan,221100,0.807010439,2017 -Michigan,221200,0.109206263,2017 -Michigan,221300,0.083783297,2017 -Minnesota,221100,0.825519331,2017 -Minnesota,221200,0.115406809,2017 -Minnesota,221300,0.05907386,2017 -Mississippi,221100,0.712993161,2017 -Mississippi,221200,0.065965281,2017 -Mississippi,221300,0.221041557,2017 -Missouri,221100,0.510860733,2017 -Missouri,221200,0.149450192,2017 -Missouri,221300,0.339689074,2017 -Montana,221100,0.806397306,2017 -Montana,221200,0.125589226,2017 -Montana,221300,0.068013468,2017 -Nebraska,221100,0.89516129,2017 -Nebraska,221200,0.10483871,2017 -Nebraska,221300,0,2017 -Nevada,221100,0.67238806,2017 -Nevada,221200,0,2017 -Nevada,221300,0.32761194,2017 -New Hampshire,221100,0.731433506,2017 -New Hampshire,221200,0.115716753,2017 -New Hampshire,221300,0.152849741,2017 -New Jersey,221100,0.519991478,2017 -New Jersey,221200,0.325332008,2017 -New Jersey,221300,0.154676514,2017 -New Mexico,221100,0.524895599,2017 -New Mexico,221200,0.186476068,2017 -New Mexico,221300,0.288628333,2017 -New York,221100,0.755705084,2017 -New York,221200,0.170230598,2017 -New York,221300,0.074064318,2017 -North Carolina,221100,0.726704736,2017 -North Carolina,221200,0.139402083,2017 -North Carolina,221300,0.133893181,2017 -North Dakota,221100,0.931213498,2017 -North Dakota,221200,0,2017 -North Dakota,221300,0.068786502,2017 -Ohio,221100,0.467317073,2017 -Ohio,221200,0.193763066,2017 -Ohio,221300,0.338919861,2017 -Oklahoma,221100,0.464630438,2017 -Oklahoma,221200,0.249966944,2017 -Oklahoma,221300,0.285402618,2017 -Oregon,221100,0.693427677,2017 -Oregon,221200,0,2017 -Oregon,221300,0.306572323,2017 -Pennsylvania,221100,0.487891124,2017 -Pennsylvania,221200,0.14459335,2017 -Pennsylvania,221300,0.367515526,2017 -Rhode Island,221100,0.643573382,2017 -Rhode Island,221200,0,2017 -Rhode Island,221300,0.356426618,2017 -South Carolina,221100,0.725662589,2017 -South Carolina,221200,0.059441896,2017 -South Carolina,221300,0.214895515,2017 -South Dakota,221100,0.78123432,2017 -South Dakota,221200,0.098344205,2017 -South Dakota,221300,0.120421475,2017 -Tennessee,221100,0.725737059,2017 -Tennessee,221200,0.085231647,2017 -Tennessee,221300,0.189031294,2017 -Texas,221100,0.55209891,2017 -Texas,221200,0.090496857,2017 -Texas,221300,0.357404233,2017 -Utah,221100,0.456155287,2017 -Utah,221200,0.136386855,2017 -Utah,221300,0.407457858,2017 -Vermont,221100,0.837116155,2017 -Vermont,221200,0,2017 -Vermont,221300,0.162883845,2017 -Virginia,221100,0.474710133,2017 -Virginia,221200,0.090741052,2017 -Virginia,221300,0.434548815,2017 -Washington,221100,0.661472044,2017 -Washington,221200,0.036853743,2017 -Washington,221300,0.301674213,2017 -West Virginia,221100,0.74801812,2017 -West Virginia,221200,0.135522839,2017 -West Virginia,221300,0.116459041,2017 -Wisconsin,221100,0.746179178,2017 -Wisconsin,221200,0.064004053,2017 -Wisconsin,221300,0.189816769,2017 -Wyoming,221100,0.863800723,2017 -Wyoming,221200,0.097227802,2017 -Wyoming,221300,0.038971474,2017 -Alabama,221100,0.684650792,2018 -Alabama,221200,0.100115075,2018 -Alabama,221300,0.215234133,2018 -Alaska,221100,0.722095672,2018 -Alaska,221200,0.133029613,2018 -Alaska,221300,0.144874715,2018 -Arizona,221100,0.992877869,2018 -Arizona,221200,0,2018 -Arizona,221300,0.007122131,2018 -Arkansas,221100,0.539253898,2018 -Arkansas,221200,0.096696362,2018 -Arkansas,221300,0.36404974,2018 -California,221100,0.367978709,2018 -California,221200,0,2018 -California,221300,0.632021291,2018 -Colorado,221100,0.786674969,2018 -Colorado,221200,0.108592777,2018 -Colorado,221300,0.104732254,2018 -Connecticut,221100,0.542258376,2018 -Connecticut,221200,0.10106163,2018 -Connecticut,221300,0.356679994,2018 -Delaware,221100,1,2018 -Delaware,221200,0,2018 -Delaware,221300,0,2018 -District Of Columbia,221100,1,2018 -District Of Columbia,221200,0,2018 -District Of Columbia,221300,0,2018 -Florida,221100,0.754378791,2018 -Florida,221200,0.058542902,2018 -Florida,221300,0.187078307,2018 -Georgia,221100,0.822259484,2018 -Georgia,221200,0.103489834,2018 -Georgia,221300,0.074250681,2018 -Hawaii,221100,1,2018 -Hawaii,221200,0,2018 -Hawaii,221300,0,2018 -Idaho,221100,0.764980266,2018 -Idaho,221200,0,2018 -Idaho,221300,0.235019734,2018 -Illinois,221100,0.655706551,2018 -Illinois,221200,0.165190577,2018 -Illinois,221300,0.179102872,2018 -Indiana,221100,0.713987746,2018 -Indiana,221200,0.117520532,2018 -Indiana,221300,0.168491722,2018 -Iowa,221100,0.784264595,2018 -Iowa,221200,0.071661238,2018 -Iowa,221300,0.144074167,2018 -Kansas,221100,0.597987288,2018 -Kansas,221200,0.227092161,2018 -Kansas,221300,0.174920551,2018 -Kentucky,221100,0.551100939,2018 -Kentucky,221200,0.075842475,2018 -Kentucky,221300,0.373056586,2018 -Louisiana,221100,0.476566499,2018 -Louisiana,221200,0.094172699,2018 -Louisiana,221300,0.429260803,2018 -Maine,221100,0.485470085,2018 -Maine,221200,0.043076923,2018 -Maine,221300,0.471452991,2018 -Maryland,221100,0.882885602,2018 -Maryland,221200,0.061776839,2018 -Maryland,221300,0.055337559,2018 -Massachusetts,221100,0.57645838,2018 -Massachusetts,221200,0.186865318,2018 -Massachusetts,221300,0.236676303,2018 -Michigan,221100,0.805064309,2018 -Michigan,221200,0.110173276,2018 -Michigan,221300,0.084762415,2018 -Minnesota,221100,0.82362765,2018 -Minnesota,221200,0.115814696,2018 -Minnesota,221300,0.060557653,2018 -Mississippi,221100,0.706699434,2018 -Mississippi,221200,0.067314884,2018 -Mississippi,221300,0.225985682,2018 -Missouri,221100,0.63969132,2018 -Missouri,221200,0.016116916,2018 -Missouri,221300,0.344191764,2018 -Montana,221100,0.809181226,2018 -Montana,221200,0.125727989,2018 -Montana,221300,0.065090785,2018 -Nebraska,221100,0.763048559,2018 -Nebraska,221200,0.104388471,2018 -Nebraska,221300,0.132562971,2018 -Nevada,221100,0.710163764,2018 -Nevada,221200,0,2018 -Nevada,221300,0.289836236,2018 -New Hampshire,221100,0.723056537,2018 -New Hampshire,221200,0.11704947,2018 -New Hampshire,221300,0.159893993,2018 -New Jersey,221100,0.493773473,2018 -New Jersey,221200,0.359096001,2018 -New Jersey,221300,0.147130526,2018 -New Mexico,221100,0.51841132,2018 -New Mexico,221200,0.18684676,2018 -New Mexico,221300,0.29474192,2018 -New York,221100,0.806985619,2018 -New York,221200,0.116081583,2018 -New York,221300,0.076932798,2018 -North Carolina,221100,0.736254517,2018 -North Carolina,221200,0.131775942,2018 -North Carolina,221300,0.131969541,2018 -North Dakota,221100,0.706827309,2018 -North Dakota,221200,0.193273092,2018 -North Dakota,221300,0.099899598,2018 -Ohio,221100,0.466490085,2018 -Ohio,221200,0.19367093,2018 -Ohio,221300,0.339838985,2018 -Oklahoma,221100,0.465747979,2018 -Oklahoma,221200,0.248973102,2018 -Oklahoma,221300,0.285278919,2018 -Oregon,221100,0.692224476,2018 -Oregon,221200,0,2018 -Oregon,221300,0.307775524,2018 -Pennsylvania,221100,0.481121995,2018 -Pennsylvania,221200,0.146631048,2018 -Pennsylvania,221300,0.372246958,2018 -Rhode Island,221100,1,2018 -Rhode Island,221200,0,2018 -Rhode Island,221300,0,2018 -South Carolina,221100,0.736942866,2018 -South Carolina,221200,0.055698474,2018 -South Carolina,221300,0.20735866,2018 -South Dakota,221100,0.777047523,2018 -South Dakota,221200,0.103134479,2018 -South Dakota,221300,0.119817998,2018 -Tennessee,221100,0.724128553,2018 -Tennessee,221200,0.085490232,2018 -Tennessee,221300,0.190381216,2018 -Texas,221100,0.54508251,2018 -Texas,221200,0.095136072,2018 -Texas,221300,0.359781418,2018 -Utah,221100,0.459624175,2018 -Utah,221200,0.127137295,2018 -Utah,221300,0.413238531,2018 -Vermont,221100,0.834561286,2018 -Vermont,221200,0,2018 -Vermont,221300,0.165438714,2018 -Virginia,221100,0.465734344,2018 -Virginia,221200,0.09399376,2018 -Virginia,221300,0.440271897,2018 -Washington,221100,0.663883415,2018 -Washington,221200,0.037288663,2018 -Washington,221300,0.298827922,2018 -West Virginia,221100,0.744980296,2018 -West Virginia,221200,0.137736911,2018 -West Virginia,221300,0.117282792,2018 -Wisconsin,221100,0.73359443,2018 -Wisconsin,221200,0.068929504,2018 -Wisconsin,221300,0.197476066,2018 -Wyoming,221100,0.830885272,2018 -Wyoming,221200,0.132989281,2018 -Wyoming,221300,0.036125447,2018 From 3c3bbde51618ac6a9c7ae6689532842d2b4147a3 Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 5 Apr 2023 18:31:36 -0400 Subject: [PATCH 11/39] added testing files for testing the format of state use and Make DF that need to be generated by createDisaggFilesFromProxyData function --- inst/extdata/disaggspecs/UtilityDisaggByProxy.yml | 6 +++--- inst/extdata/disaggspecs/UtilityStateDummy_Make.csv | 4 ++++ inst/extdata/disaggspecs/UtilityStateDummy_Use.csv | 7 +++++++ 3 files changed, 14 insertions(+), 3 deletions(-) create mode 100644 inst/extdata/disaggspecs/UtilityStateDummy_Make.csv create mode 100644 inst/extdata/disaggspecs/UtilityStateDummy_Use.csv diff --git a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml index 1cf0c30..7c45b22 100644 --- a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml +++ b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml @@ -4,8 +4,8 @@ Disaggregation: OrignalSectorName: "Utilities" DisaggregationType: "Userdefined" SectorFile: UtilityDisaggregation_Sectors.csv - # MakeFile: UtilityDisaggregationSummary_Make.csv - # UseFile: UtilityDisaggregationSummary_Use.csv + MakeFile: UtilityStateDummy_Make.csv + UseFile: UtilityStateDummy_Use.csv # EnvFile: UtilityDisaggregationSummary_Env.csv - stateFile: Employment_ratios.csv +# stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg package: "stateior" diff --git a/inst/extdata/disaggspecs/UtilityStateDummy_Make.csv b/inst/extdata/disaggspecs/UtilityStateDummy_Make.csv new file mode 100644 index 0000000..7813278 --- /dev/null +++ b/inst/extdata/disaggspecs/UtilityStateDummy_Make.csv @@ -0,0 +1,4 @@ +IndustryCode,CommodityCode,PercentMake,Note +22/US,221100/US,0.63541758,CommodityDisagg +22/US,221200/US,0.108148191,CommodityDisagg +22/US,221300/US,0.256434229,CommodityDisagg diff --git a/inst/extdata/disaggspecs/UtilityStateDummy_Use.csv b/inst/extdata/disaggspecs/UtilityStateDummy_Use.csv new file mode 100644 index 0000000..db94e89 --- /dev/null +++ b/inst/extdata/disaggspecs/UtilityStateDummy_Use.csv @@ -0,0 +1,7 @@ +IndustryCode,CommodityCode,PercentUsed,Note, +221100/US,22/US,0.63541758,IndustryDisagg, +221200/US,22/US,0.108148191,IndustryDisagg, +221300/US,22/US,0.256434229,IndustryDisagg, +22/US,221100/US,0.63541758,CommodityDisagg, +22/US,221200/US,0.108148191,CommodityDisagg, +22/US,221300/US,0.256434229,CommodityDisagg, From de882261b63a5f7ff5e6fba34891727ca651e437 Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 5 Apr 2023 18:39:05 -0400 Subject: [PATCH 12/39] added new testing yml file to test useDf and MakeDF strctures that need to be gnerated by createDisaggFilesFromProxyData --- inst/extdata/disaggspecs/UtilityDisaggByProxy.yml | 8 ++++---- inst/extdata/disaggspecs/UtilityStateDummy.yml | 11 +++++++++++ 2 files changed, 15 insertions(+), 4 deletions(-) create mode 100644 inst/extdata/disaggspecs/UtilityStateDummy.yml diff --git a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml index 7c45b22..af2de3d 100644 --- a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml +++ b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml @@ -4,8 +4,8 @@ Disaggregation: OrignalSectorName: "Utilities" DisaggregationType: "Userdefined" SectorFile: UtilityDisaggregation_Sectors.csv - MakeFile: UtilityStateDummy_Make.csv - UseFile: UtilityStateDummy_Use.csv - # EnvFile: UtilityDisaggregationSummary_Env.csv -# stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg +# MakeFile: UtilityStateDummy_Make.csv +# UseFile: UtilityStateDummy_Use.csv +# EnvFile: UtilityDisaggregationSummary_Env.csv + stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg package: "stateior" diff --git a/inst/extdata/disaggspecs/UtilityStateDummy.yml b/inst/extdata/disaggspecs/UtilityStateDummy.yml new file mode 100644 index 0000000..7c45b22 --- /dev/null +++ b/inst/extdata/disaggspecs/UtilityStateDummy.yml @@ -0,0 +1,11 @@ +Disaggregation: + 22/US: + OriginalSectorCode: "22/US" + OrignalSectorName: "Utilities" + DisaggregationType: "Userdefined" + SectorFile: UtilityDisaggregation_Sectors.csv + MakeFile: UtilityStateDummy_Make.csv + UseFile: UtilityStateDummy_Use.csv + # EnvFile: UtilityDisaggregationSummary_Env.csv +# stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg + package: "stateior" From 4bf5ac01478a5e651c05eaa4a9caebc440a8436e Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 5 Apr 2023 19:29:16 -0400 Subject: [PATCH 13/39] fixed errors that did not allow disaggregation to proceed with data derived from proxy file, in this case EMployment rations. Errors were (in createDisaggFilesFromProxyData function): 1) the disaggregatedSectorCodes were not being unlisted before being assigned to Use DF and Make DF 2) data in make DF and use DF were not being saved as dataframes and thus the data type was not consistent when doing a cbind for these objects --- R/BuildModel.R | 8 +++----- R/StateDisaggFunctions.R | 14 ++++++++------ 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index 73dc9d0..becd857 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -645,12 +645,10 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { model$FullUse <- US_Use model$DomesticFullUse <- US_DomesticUse # Note that the domestic full use object does not include value added rows - #ERROR HERE FOR DISAGG BY PROXY: NEED TO DECIDE IF WE WANT TO REFACTOR THIS CODE TO WORK ONLY FOR DISAGG BY PROXY, IF WE WANT TO KEEP THIS VERSION (DISAGG BASED ON - # 2020 DETAIL MODEL), OR IF WE WANT TO KEEP BOTH # Disaggregate national model objects once (i.e. not for each state) if(!is.null(disagg$stateDF)){ - model <- createDisaggFilesFromProxyData(model, disagg, year, "US") + model <- createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg } @@ -701,8 +699,8 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { # Assemble two-region IO tables TwoRegionIO <- list() #TEMPORARY FOR DEBUGGING - for (state in c("Virginia")){ -# for (state in sort(c(state.name, "District of Columbia"))) { +# for (state in c("Virginia")){ + for (state in sort(c(state.name, "District of Columbia"))) { if(state == "Virginia"){ temp <-1 diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 89992d2..68dc61f 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -319,26 +319,28 @@ createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggStat # Default Make DF based on proxy employment values # Specifying commodity disaggregation (column splits) for Make DF industries <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) - commodities <- disagg$DisaggregatedSectorCodes + commodities <- unlist(disagg$DisaggregatedSectorCodes) PercentMake <- stateDFYear$Share # need to add code to ensure that the order of stateDF$Share is the same as the order of disagg$DisaggregatedSectorCodes note <- c(rep("CommodityDisagg", length(disagg$DisaggregatedSectorCodes))) - makeDF <- data.frame(cbind(industries, commodities, PercentMake, note)) #need to rename the columns with the correct column names + makeDF <- data.frame(cbind(data.frame(industries), data.frame(commodities), data.frame(PercentMake), data.frame(note))) #need to rename the columns with the correct column names colnames(makeDF) <- c("IndustryCode","CommodityCode", "PercentMake", "Note") # Default Use DF based on employment ratios # Specifying industry disaggregation (column splits) for Use DF - industries <- disagg$DisaggregatedSectorCodes + industries <- unlist(disagg$DisaggregatedSectorCodes) commodities <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) PercentUse <- stateDFYear$Share note <- c(rep("IndustryDisagg", length(disagg$DisaggregatedSectorCodes))) - useDF <- data.frame(cbind(industries, commodities, PercentUse, note)) #need to rename the columns with the correct column names + useDF <- data.frame(cbind(data.frame(industries), data.frame(commodities), data.frame(PercentUse), data.frame(note))) #need to rename the columns with the correct column names + useDF_2 <- makeDF # so that colnames match colnames(useDF) <- c("IndustryCode","CommodityCode", "PercentUse", "Note") + colnames(useDF_2) <- c("IndustryCode","CommodityCode", "PercentUse", "Note") - useDF <- rbind(useDF, makeDF) #need to bid makeDF because disaggregation procedure requires the UseDF to have the default commodity and industry output. - + useDF <- rbind(useDF, useDF_2) #need to bid makeDF because disaggregation procedure requires the UseDF to have the default commodity and industry output. + # Add new DFs to disagg and to model disagg$MakeFileDF <- makeDF disagg$UseFileDF <- useDF From 49029b08994aaf18cd95d6d1d4d6964cc9e2c41f Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 5 Apr 2023 19:31:22 -0400 Subject: [PATCH 14/39] added comment for next step in state disagg testing with proxy data. --- R/BuildModel.R | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/R/BuildModel.R b/R/BuildModel.R index becd857..f918b65 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -706,6 +706,16 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { temp <-1 } + + #LEFT OFF HERE: NEED TO TEST THE FOLLOWING CODE TO MAKE SURE EACH STATE IS DISAGGREGATED PROPERLY: + # # Disaggregate STATE model objects + # if(!is.null(disagg$stateDF)){ + # + # model <- createDisaggFilesFromProxyData(model, disagg, year, state) #Function to disagg by proxy + # disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg + # } + + ## Two-region Make model$MakeTransactions <- State_Make_ls[[state]] model$FullUse <- State_Use_ls[[state]] From cebc1caf5b58878f96a05daa47396336e845fec2 Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 12 Apr 2023 13:31:58 -0400 Subject: [PATCH 15/39] handle cases where there is no proxy data for disaggregation for a specific state (i.e., D.C.) --- R/StateDisaggFunctions.R | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 68dc61f..9ee7838 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -315,7 +315,24 @@ createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggStat #Get subset of ratios for current year stateDFYear <- subset(disagg$stateDF, Year == disaggYear & State == disaggState) + + # If the state/year combination is not found, assume a uniform split between sectors + if(dim(stateDFYear)[1] == 0){ + + activity <- unlist(disagg$DisaggregatedSectorCodes) + uniformAllocationVector <- 1/length(disagg$DisaggregatedSectorCodes) + share <- rep(uniformAllocationVector,length(disagg$DisaggregatedSectorCodes)) + + stateDFYear <- data.frame(State = rep(disaggState, length(disagg$DisaggregatedSectorCodes)), + Activity = activity, + Share = share, + Year = rep(disaggYear, length(disagg$DisaggregatedSectorCodes))) + + } + print(paste0("For ",disaggState,"-",disaggYear, " the allocation to disaggregate ", + disagg$OriginalSectorCode, " into ", disagg$DisaggregatedSectorCodes, " is ", stateDFYear$Share)) + # Default Make DF based on proxy employment values # Specifying commodity disaggregation (column splits) for Make DF industries <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) From 80b5ae8cbeee8046ebeb632d87e53d1118437dc7 Mon Sep 17 00:00:00 2001 From: jvendries Date: Wed, 12 Apr 2023 13:33:10 -0400 Subject: [PATCH 16/39] add if statement to disaggregate model objects for each state using proxy data jf it is provided --- R/BuildModel.R | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index f918b65..9826764 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -699,21 +699,17 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { # Assemble two-region IO tables TwoRegionIO <- list() #TEMPORARY FOR DEBUGGING -# for (state in c("Virginia")){ +# for (state in c("District of Columbia")){ for (state in sort(c(state.name, "District of Columbia"))) { - if(state == "Virginia"){ - temp <-1 - } - #LEFT OFF HERE: NEED TO TEST THE FOLLOWING CODE TO MAKE SURE EACH STATE IS DISAGGREGATED PROPERLY: - # # Disaggregate STATE model objects - # if(!is.null(disagg$stateDF)){ - # - # model <- createDisaggFilesFromProxyData(model, disagg, year, state) #Function to disagg by proxy - # disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg - # } + # Disaggregate STATE model objects + if(!is.null(disagg$stateDF)){ + + model <- createDisaggFilesFromProxyData(model, disagg, year, state) #Function to disagg by proxy + disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg + } ## Two-region Make From d3d219f0d36b826bb98a844b7564343cd53b6346 Mon Sep 17 00:00:00 2001 From: "Ben Young (ERG)" <44471635+bl-young@users.noreply.github.com> Date: Tue, 6 Feb 2024 15:55:26 -0500 Subject: [PATCH 17/39] require useeior v1.4.0 --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 3567c45..ab4840f 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -40,7 +40,7 @@ Imports: Depends: R (>= 3.6) Remotes: - github::USEPA/useeior@linkstateior + github::USEPA/useeior@v1.4.0 License: file LICENSE Encoding: UTF-8 LazyData: true From e1ed152e5630a6afb0e9d6a2659296870de6a2c6 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 6 Feb 2024 22:25:13 -0500 Subject: [PATCH 18/39] use make table for commodity output consistent with approach in buildStateSupplyModel() --- R/StateDisaggFunctions.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 9ee7838..00dd5d1 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -269,7 +269,7 @@ calculateStateIndustryCommodityOuput <- function(model){ rownames(model$IndustryOutput) <- rowLabels # Calculating and formatting CommodityOuput - model$CommodityOutput <- data.frame(rowSums(model$UseTransactions) + rowSums(model$FinalDemand)) + model$CommodityOutput <- data.frame(colSums(model$MakeTransactions)) colnames(model$CommodityOutput) <- "Output" rowLabels <- rownames(model$CommodityOutput) rowLabels <- gsub("\\/.*","",rowLabels) # remove everything after "/" From 0b9f535a8b2b197be62d4c61bb32ddeae530d505 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 6 Feb 2024 23:39:30 -0500 Subject: [PATCH 19/39] clean up spec file, env file not needed --- .../disaggspecs/UtilityDisaggregation.yml | 7 +- .../UtilityDisaggregationSummary_Env.csv | 1180 ----------------- 2 files changed, 3 insertions(+), 1184 deletions(-) delete mode 100644 inst/extdata/disaggspecs/UtilityDisaggregationSummary_Env.csv diff --git a/inst/extdata/disaggspecs/UtilityDisaggregation.yml b/inst/extdata/disaggspecs/UtilityDisaggregation.yml index 32913a6..abf8337 100644 --- a/inst/extdata/disaggspecs/UtilityDisaggregation.yml +++ b/inst/extdata/disaggspecs/UtilityDisaggregation.yml @@ -1,10 +1,9 @@ Disaggregation: 22/US: OriginalSectorCode: "22/US" - OrignalSectorName: "Utilities" + OriginalSectorName: "Utilities" DisaggregationType: "Userdefined" SectorFile: UtilityDisaggregation_Sectors.csv - MakeFile: UtilityDisaggregationSummary_Make.csv - UseFile: UtilityDisaggregationSummary_Use.csv - EnvFile: UtilityDisaggregationSummary_Env.csv + MakeFile: UtilityDisaggregationSummary_Make.csv # Ratios from 2012 US Make table + UseFile: UtilityDisaggregationSummary_Use.csv # Ratios from 2012 US Use table package: "stateior" diff --git a/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Env.csv b/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Env.csv deleted file mode 100644 index f087cb1..0000000 --- a/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Env.csv +++ /dev/null @@ -1,1180 +0,0 @@ -"Flowable","Context","FlowUUID","Sector","FlowRatio" -"Water","emission/air/troposphere/ground-level","","221100",1 -"Water, fresh","emission/air/troposphere/ground-level","","221100",1 -"Water, fresh","resource/water/fresh water body","","221100",0.907847888636718 -"Water, fresh","resource/water/fresh water body","","221300",0.0921521113632819 -"Water, fresh","resource/water/subterranean/fresh water body","","221100",0.0700765446579275 -"Water, fresh","resource/water/subterranean/fresh water body","","221300",0.929923455342073 -"Water, saline","resource/water/saline water body","","221100",1 -"Water, saline","resource/water/subterranean/saline water body","","221100",1 -"1,1-Dichloroethane","emission/air","","221100",0.623240890992679 -"1,1-Dichloroethane","emission/air","","221200",0.0255357966388812 -"1,1-Dichloroethane","emission/air","","221300",0.35122331236844 -"1,1-Dichloroethylene","emission/air","","221100",0.107341784437035 -"1,1-Dichloroethylene","emission/air","","221300",0.892658215562965 -"1,1-Dimethylhydrazine","emission/air","","221100",1 -"1,1,1-Trichloroethane","emission/air","","221100",0.218288244999612 -"1,1,1-Trichloroethane","emission/air","","221300",0.781711755000388 -"1,1,2-Trichloroethane","emission/air","","221100",0.426043113374257 -"1,1,2-Trichloroethane","emission/air","","221200",0.117527522802421 -"1,1,2-Trichloroethane","emission/air","","221300",0.456429363823322 -"1,1,2,2-Tetrachloroethane","emission/air","","221100",0.235799339929909 -"1,1,2,2-Tetrachloroethane","emission/air","","221200",0.0758213868023184 -"1,1,2,2-Tetrachloroethane","emission/air","","221300",0.688379273267773 -"1,2-Dichloroethane","emission/air","","221100",0.703198130352856 -"1,2-Dichloroethane","emission/air","","221200",0.00691521868732921 -"1,2-Dichloroethane","emission/air","","221300",0.289886650959814 -"1,2-Dichloropropane","emission/air","","221100",0.383310095438901 -"1,2-Dichloropropane","emission/air","","221200",0.0221168187960939 -"1,2-Dichloropropane","emission/air","","221300",0.594573085765005 -"1,2,4-Trichlorobenzene","emission/air","","221100",0.539050462943468 -"1,2,4-Trichlorobenzene","emission/air","","221300",0.460949537056532 -"1,2,4-Trimethylbenzene","emission/air","","221100",0.996494371518716 -"1,2,4-Trimethylbenzene","emission/air","","221300",0.00350562848128384 -"1,3-Butadiene","emission/air","","221100",0.717595194352346 -"1,3-Butadiene","emission/air","","221200",0.149200649935943 -"1,3-Butadiene","emission/air","","221300",0.133204155711711 -"1,3-Dichloropropene","emission/air","","221100",0.431393800568674 -"1,3-Dichloropropene","emission/air","","221200",0.12046858464949 -"1,3-Dichloropropene","emission/air","","221300",0.448137614781837 -"1,4-Dioxane","emission/air","","221100",0.00097388499783038 -"1,4-Dioxane","emission/air","","221300",0.99902611500217 -"2-Chloroacetophenone","emission/air","","221100",0.999534322944684 -"2-Chloroacetophenone","emission/air","","221300",0.000465677055315895 -"2-Chlorobiphenyl","emission/air","","221100",0.324194778144233 -"2-Chlorobiphenyl","emission/air","","221300",0.675805221855767 -"2-Chloronaphthalene","emission/air","","221100",0.750453786056516 -"2-Chloronaphthalene","emission/air","","221300",0.249546213943484 -"2-Methylnaphthalene","emission/air","","221100",0.707203180405566 -"2-Methylnaphthalene","emission/air","","221200",0.0442380037003079 -"2-Methylnaphthalene","emission/air","","221300",0.248558815894127 -"2,2,4-Trimethylpentane","emission/air","","221100",0.311890811283507 -"2,2,4-Trimethylpentane","emission/air","","221200",0.49820539840994 -"2,2,4-Trimethylpentane","emission/air","","221300",0.189903790306552 -"2,4-Dinitrophenol","emission/air","","221100",0.857877624521288 -"2,4-Dinitrophenol","emission/air","","221300",0.142122375478712 -"2,4-Dinitrotoluene","emission/air","","221100",0.671030815846188 -"2,4-Dinitrotoluene","emission/air","","221300",0.328969184153812 -"2,4,5-Trichlorophenol","emission/air","","221100",1 -"2,4,6-Trichlorophenol","emission/air","","221100",0.309174204077361 -"2,4,6-Trichlorophenol","emission/air","","221300",0.690825795922639 -"3-Methylcholanthrene","emission/air","","221100",0.962866833764136 -"3-Methylcholanthrene","emission/air","","221200",0.000498791677332626 -"3-Methylcholanthrene","emission/air","","221300",0.0366343745585315 -"5-Methylchrysene","emission/air","","221100",0.998428431681342 -"5-Methylchrysene","emission/air","","221300",0.00157156831865828 -"7,12-Dimethylbenz[a]anthracene","emission/air","","221100",0.970497834230408 -"7,12-Dimethylbenz[a]anthracene","emission/air","","221200",0.000332768062379497 -"7,12-Dimethylbenz[a]anthracene","emission/air","","221300",0.0291693977072126 -"Acenaphthene","emission/air","","221100",0.0590937141624503 -"Acenaphthene","emission/air","","221200",0.000251656724996389 -"Acenaphthene","emission/air","","221300",0.940654629112553 -"Acenaphthylene","emission/air","","221100",0.633134755117857 -"Acenaphthylene","emission/air","","221200",0.0460486545133872 -"Acenaphthylene","emission/air","","221300",0.320816590368756 -"Acetaldehyde","emission/air","","221100",0.823916640762069 -"Acetaldehyde","emission/air","","221200",0.0815065526280234 -"Acetaldehyde","emission/air","","221300",0.0945768066099078 -"Acetonitrile","emission/air","","221100",0.000248184025125329 -"Acetonitrile","emission/air","","221200",0.970864698028121 -"Acetonitrile","emission/air","","221300",0.028887117946754 -"Acetophenone","emission/air","","221100",0.984807047160379 -"Acetophenone","emission/air","","221300",0.015192952839621 -"Acrolein","emission/air","","221100",0.722005844221816 -"Acrolein","emission/air","","221200",0.110441124637758 -"Acrolein","emission/air","","221300",0.167553031140426 -"Acrylonitrile","emission/air","","221100",0.574779470509358 -"Acrylonitrile","emission/air","","221300",0.425220529490642 -"Allyl chloride","emission/air","","221100",0.977137897435704 -"Allyl chloride","emission/air","","221300",0.0228621025642957 -"Ammonia","emission/air","","221100",0.809458095211295 -"Ammonia","emission/air","","221200",0.0640775988631357 -"Ammonia","emission/air","","221300",0.12646430592557 -"Aniline","emission/air","","221100",0.81684070943146 -"Aniline","emission/air","","221300",0.18315929056854 -"Anthracene","emission/air","","221100",0.834141471381339 -"Anthracene","emission/air","","221200",0.0024788767332967 -"Anthracene","emission/air","","221300",0.163379651885364 -"Antimony","emission/air","","221100",0.970053294093946 -"Antimony","emission/air","","221300",0.0299467059060538 -"Antimony compounds","emission/air","","221100",1 -"Arsenic","emission/air","","221100",0.958627320389616 -"Arsenic","emission/air","","221200",7.38304745051349e-05 -"Arsenic","emission/air","","221300",0.0412988491358793 -"Arsenic compounds","emission/air","","221100",1 -"Asbestos","emission/air","","221100",0.999447887289797 -"Asbestos","emission/air","","221300",0.000552112710202651 -"Barium","emission/air","","221100",1 -"Barium compounds","emission/air","","221100",1 -"Benz[a]anthracene","emission/air","","221100",0.996219416718387 -"Benz[a]anthracene","emission/air","","221200",0.00206243850725712 -"Benz[a]anthracene","emission/air","","221300",0.00171814477435615 -"Benzene","emission/air","","221100",0.780410485736284 -"Benzene","emission/air","","221200",0.0401357517851054 -"Benzene","emission/air","","221300",0.179453762478611 -"Benzidine","emission/air","","221100",1 -"Benzo(b)fluoranthene","emission/air","","221100",0.784272707099009 -"Benzo(b)fluoranthene","emission/air","","221200",0.0140937430190534 -"Benzo(b)fluoranthene","emission/air","","221300",0.201633549881938 -"Benzo[a]pyrene","emission/air","","221100",0.992797761962282 -"Benzo[a]pyrene","emission/air","","221200",0.00270405076257185 -"Benzo[a]pyrene","emission/air","","221300",0.00449818727514633 -"Benzo[e]pyrene","emission/air","","221100",0.538581254692943 -"Benzo[e]pyrene","emission/air","","221200",0.103472053626217 -"Benzo[e]pyrene","emission/air","","221300",0.357946691680839 -"Benzo[ghi]perylene","emission/air","","221100",0.99298144383352 -"Benzo[ghi]perylene","emission/air","","221200",0.00114842784453017 -"Benzo[ghi]perylene","emission/air","","221300",0.00587012832194955 -"Benzo[k]fluoranthene","emission/air","","221100",0.913257035866361 -"Benzo[k]fluoranthene","emission/air","","221200",0.00102318029336661 -"Benzo[k]fluoranthene","emission/air","","221300",0.0857197838402728 -"Benzofluoranthene","emission/air","","221100",0.995550489863991 -"Benzofluoranthene","emission/air","","221300",0.0044495101360094 -"Benzyl chloride","emission/air","","221100",0.999014908717941 -"Benzyl chloride","emission/air","","221300",0.00098509128205888 -"Beryllium","emission/air","","221100",0.963452448361344 -"Beryllium","emission/air","","221200",9.29542913123354e-06 -"Beryllium","emission/air","","221300",0.0365382562095248 -"Beryllium compounds","emission/air","","221100",1 -"Biphenyl","emission/air","","221100",0.884907320525374 -"Biphenyl","emission/air","","221200",0.0746942833643919 -"Biphenyl","emission/air","","221300",0.0403983961102344 -"Bromine","emission/air","","221100",1 -"Cadmium","emission/air","","221100",0.961352387123784 -"Cadmium","emission/air","","221200",0.00128188102587004 -"Cadmium","emission/air","","221300",0.0373657318503456 -"Cadmium compounds","emission/air","","221100",1 -"Calcium cyanamide","emission/air","","221100",1 -"Carbon disulfide","emission/air","","221100",0.371224607154202 -"Carbon disulfide","emission/air","","221300",0.628775392845798 -"Carbon monoxide","emission/air","","221100",0.96063808111591 -"Carbon monoxide","emission/air","","221200",0.0145948848144748 -"Carbon monoxide","emission/air","","221300",0.0247670340696154 -"Carbon tetrachloride","emission/air","","221100",0.121635370306292 -"Carbon tetrachloride","emission/air","","221200",0.0155786432563091 -"Carbon tetrachloride","emission/air","","221300",0.862785986437399 -"Carbonyl sulfide","emission/air","","221100",0.364343002058295 -"Carbonyl sulfide","emission/air","","221300",0.635656997941704 -"Catechol","emission/air","","221100",0.11190053285968 -"Catechol","emission/air","","221200",0.88809946714032 -"Chlorine","emission/air","","221100",0.93529099930446 -"Chlorine","emission/air","","221300",0.0647090006955405 -"Chlorine dioxide","emission/air","","221100",1 -"Chlorobenzene","emission/air","","221100",0.496485013771821 -"Chlorobenzene","emission/air","","221200",0.00830709812026015 -"Chlorobenzene","emission/air","","221300",0.495207888107919 -"Chloroethane","emission/air","","221100",0.984161005893058 -"Chloroethane","emission/air","","221200",5.91322698524858e-05 -"Chloroethane","emission/air","","221300",0.0157798618370897 -"Chloroform","emission/air","","221100",0.348226429896114 -"Chloroform","emission/air","","221200",0.000659123082505304 -"Chloroform","emission/air","","221300",0.651114447021381 -"Chloromethane","emission/air","","221100",0.993665577030142 -"Chloromethane","emission/air","","221300",0.00633442296985765 -"Chromic(VI) acid","emission/air","","221100",0.995064964876999 -"Chromic(VI) acid","emission/air","","221300",0.00493503512300092 -"Chromium","emission/air","","221100",1 -"Chromium compounds","emission/air","","221100",1 -"Chromium(III)","emission/air","","221100",0.992320760586347 -"Chromium(III)","emission/air","","221200",0.000258272205009384 -"Chromium(III)","emission/air","","221300",0.00742096720864325 -"Chromium(VI)","emission/air","","221100",0.967651954936091 -"Chromium(VI)","emission/air","","221200",8.28013405114754e-05 -"Chromium(VI)","emission/air","","221300",0.0322652437233979 -"Chrysene","emission/air","","221100",0.997848328198706 -"Chrysene","emission/air","","221200",0.000667810576594857 -"Chrysene","emission/air","","221300",0.00148386122469901 -"Cobalt","emission/air","","221100",0.961698539219469 -"Cobalt","emission/air","","221200",5.69857812073088e-05 -"Cobalt","emission/air","","221300",0.0382444749993235 -"Cobalt compounds","emission/air","","221100",1 -"Copper","emission/air","","221100",1 -"Copper compounds","emission/air","","221100",1 -"Cresol","emission/air","","221100",0.977225356817737 -"Cresol","emission/air","","221300",0.0227746431822634 -"Cumene","emission/air","","221100",0.786552805576773 -"Cumene","emission/air","","221300",0.213447194423227 -"Cyanide","emission/air","","221100",0.998595102214601 -"Cyanide","emission/air","","221200",4.00237325504133e-06 -"Cyanide","emission/air","","221300",0.00140089541214392 -"Cyanide compounds","emission/air","","221100",1 -"Cyclohexane","emission/air","","221100",0.848360655737705 -"Cyclohexane","emission/air","","221300",0.151639344262295 -"Decachlorobiphenyl","emission/air","","221100",0.104881252624991 -"Decachlorobiphenyl","emission/air","","221300",0.895118747375009 -"Di(2-ethylhexyl) phthalate","emission/air","","221100",0.765227849661429 -"Di(2-ethylhexyl) phthalate","emission/air","","221300",0.234772150338571 -"Dibenz[a,h]acridine","emission/air","","221100",0.960336838748954 -"Dibenz[a,h]acridine","emission/air","","221300",0.0396631612510458 -"Dibenz[a,h]anthracene","emission/air","","221100",0.974110387430834 -"Dibenz[a,h]anthracene","emission/air","","221200",0.000199846786810686 -"Dibenz[a,h]anthracene","emission/air","","221300",0.0256897657823549 -"Dibenz[a,j]acridine","emission/air","","221100",1 -"Dibenzofuran","emission/air","","221100",0.645712085794709 -"Dibenzofuran","emission/air","","221200",0.345249286587739 -"Dibenzofuran","emission/air","","221300",0.00903862761755183 -"Dibutyl phthalate","emission/air","","221100",0.672836897723486 -"Dibutyl phthalate","emission/air","","221300",0.327163102276514 -"Dimethyl phthalate","emission/air","","221100",1 -"Dimethyl sulfate","emission/air","","221100",0.990496908082786 -"Dimethyl sulfate","emission/air","","221300",0.00950309191721369 -"Dioxins","emission/air","","221100",1 -"Ethylbenzene","emission/air","","221100",0.764996895938197 -"Ethylbenzene","emission/air","","221200",0.0152227069580685 -"Ethylbenzene","emission/air","","221300",0.219780397103735 -"Ethylene dibromide","emission/air","","221100",0.778731148025949 -"Ethylene dibromide","emission/air","","221200",0.0905176267024211 -"Ethylene dibromide","emission/air","","221300",0.13075122527163 -"Ethylene glycol","emission/air","","221100",0.0798295254736875 -"Ethylene glycol","emission/air","","221200",0.520503857754757 -"Ethylene glycol","emission/air","","221300",0.399666616771555 -"Ethylene glycol monobutyl ether acetate","emission/air","","221100",1 -"Fluoranthene","emission/air","","221100",0.95786370269218 -"Fluoranthene","emission/air","","221200",0.000506083961503605 -"Fluoranthene","emission/air","","221300",0.041630213346316 -"Fluorene","emission/air","","221100",0.779606788348136 -"Fluorene","emission/air","","221200",0.0348458420372702 -"Fluorene","emission/air","","221300",0.185547369614594 -"Fluorine","emission/air","","221100",1 -"Formaldehyde","emission/air","","221100",0.876407359533006 -"Formaldehyde","emission/air","","221200",0.0775326435602644 -"Formaldehyde","emission/air","","221300",0.0460599969067299 -"Formic acid","emission/air","","221100",1 -"Glycol ethers","emission/air","","221100",8.41814032983214e-06 -"Glycol ethers","emission/air","","221200",0.00149764589588874 -"Glycol ethers","emission/air","","221300",0.998493935963781 -"Glycol ethers, subset","emission/air","","221100",1 -"Heptachlorobiphenyl","emission/air","","221100",0.104888086115952 -"Heptachlorobiphenyl","emission/air","","221300",0.895111913884048 -"Hexachlorobenzene","emission/air","","221100",0.714505695049855 -"Hexachlorobenzene","emission/air","","221300",0.285494304950145 -"Hexachlorobiphenyl","emission/air","","221100",0.324214102514466 -"Hexachlorobiphenyl","emission/air","","221300",0.675785897485534 -"Hexachlorobutadiene","emission/air","","221100",0.460720341492598 -"Hexachlorobutadiene","emission/air","","221300",0.539279658507402 -"Hexachlorocyclopentadiene","emission/air","","221100",0.959793692929608 -"Hexachlorocyclopentadiene","emission/air","","221300",0.0402063070703914 -"Hexachloroethane","emission/air","","221100",0.989930351598557 -"Hexachloroethane","emission/air","","221300",0.0100696484014433 -"Hexamethylene-1,6-diisocyanate","emission/air","","221100",0.19000602980005 -"Hexamethylene-1,6-diisocyanate","emission/air","","221300",0.80999397019995 -"Hexane","emission/air","","221100",0.82540879959887 -"Hexane","emission/air","","221200",0.0866006555606553 -"Hexane","emission/air","","221300",0.0879905448404745 -"Hydrazine","emission/air","","221100",1 -"Hydrochloric acid","emission/air","","221100",0.943951112658544 -"Hydrochloric acid","emission/air","","221200",0.0015069920288635 -"Hydrochloric acid","emission/air","","221300",0.0545418953125926 -"Hydrofluoric acid","emission/air","","221100",0.997636324557212 -"Hydrofluoric acid","emission/air","","221300",0.00236367544278818 -"Hydrogen cyanide","emission/air","","221100",0.999327686515196 -"Hydrogen cyanide","emission/air","","221300",0.000672313484803894 -"Hydrogen sulfide","emission/air","","221100",0.705392973008274 -"Hydrogen sulfide","emission/air","","221200",0.00378010915429437 -"Hydrogen sulfide","emission/air","","221300",0.290826917837432 -"Indeno[1,2,3-cd]pyrene","emission/air","","221100",0.898922355718961 -"Indeno[1,2,3-cd]pyrene","emission/air","","221200",0.000986131887554662 -"Indeno[1,2,3-cd]pyrene","emission/air","","221300",0.100091512393485 -"Isophorone","emission/air","","221100",0.999585566848344 -"Isophorone","emission/air","","221300",0.000414433151655605 -"Lead","emission/air","","221100",0.884516882175613 -"Lead","emission/air","","221200",0.000134833232265916 -"Lead","emission/air","","221300",0.115348284592121 -"Lead compounds","emission/air","","221100",0.995956706481933 -"Lead compounds","emission/air","","221300",0.0040432935180671 -"m-Cresol","emission/air","","221100",0.0206488189338535 -"m-Cresol","emission/air","","221200",0.979348616105485 -"m-Cresol","emission/air","","221300",2.56496066122865e-06 -"m-Xylene","emission/air","","221100",0.74817044917603 -"m-Xylene","emission/air","","221300",0.25182955082397 -"Manganese","emission/air","","221100",0.958202926944397 -"Manganese","emission/air","","221200",0.000546114291429449 -"Manganese","emission/air","","221300",0.0412509587641739 -"Manganese compounds","emission/air","","221100",1 -"Mercury","emission/air","","221100",0.919855388490771 -"Mercury","emission/air","","221200",0.00123826748288416 -"Mercury","emission/air","","221300",0.0789063440263448 -"Mercury compounds","emission/air","","221100",1 -"Methanol","emission/air","","221100",0.159380251234089 -"Methanol","emission/air","","221200",0.620257075510572 -"Methanol","emission/air","","221300",0.220362673255339 -"Methyl bromide","emission/air","","221100",0.976154981049565 -"Methyl bromide","emission/air","","221300",0.0238450189504347 -"Methyl hydrazine","emission/air","","221100",0.999656494477333 -"Methyl hydrazine","emission/air","","221300",0.000343505522666656 -"Methyl iodide","emission/air","","221100",0.70207499697692 -"Methyl iodide","emission/air","","221300",0.29792500302308 -"Methyl isobutyl ketone","emission/air","","221100",0.162874936278984 -"Methyl isobutyl ketone","emission/air","","221200",0.00340895256286349 -"Methyl isobutyl ketone","emission/air","","221300",0.833716111158153 -"Methyl methacrylate","emission/air","","221100",0.573471316697697 -"Methyl methacrylate","emission/air","","221300",0.426528683302303 -"Methyl tert-butyl ether","emission/air","","221100",0.525154336277499 -"Methyl tert-butyl ether","emission/air","","221300",0.474845663722501 -"Methylene chloride","emission/air","","221100",0.658835961681127 -"Methylene chloride","emission/air","","221200",0.00149005964898226 -"Methylene chloride","emission/air","","221300",0.33967397866989 -"Molybdenum trioxide","emission/air","","221100",1 -"N-Nitrosodimethylamine","emission/air","","221100",1 -"N-Nitrosomorpholine","emission/air","","221100",1 -"Naphthalene","emission/air","","221100",0.663289681448239 -"Naphthalene","emission/air","","221200",0.0393003395047109 -"Naphthalene","emission/air","","221300",0.29740997904705 -"Nickel","emission/air","","221100",0.957935398271312 -"Nickel","emission/air","","221200",0.0207514591212107 -"Nickel","emission/air","","221300",0.0213131426074776 -"Nickel compounds","emission/air","","221100",1 -"Nitrobenzene","emission/air","","221100",0.44855224161089 -"Nitrobenzene","emission/air","","221300",0.55144775838911 -"Nitrogen dioxide","emission/air","","221100",0.97626464991262 -"Nitrogen dioxide","emission/air","","221200",0.0108561941361575 -"Nitrogen dioxide","emission/air","","221300",0.0128791559512226 -"o-Cresol","emission/air","","221100",0.508424966624193 -"o-Cresol","emission/air","","221200",0.491456784696026 -"o-Cresol","emission/air","","221300",0.000118248679780534 -"o-Xylene","emission/air","","221100",0.717254448039029 -"o-Xylene","emission/air","","221300",0.282745551960971 -"p-Cresol","emission/air","","221100",0.408893694198862 -"p-Cresol","emission/air","","221200",0.590669017495041 -"p-Cresol","emission/air","","221300",0.00043728830609634 -"p-Dichlorobenzene","emission/air","","221100",0.25527787607066 -"p-Dichlorobenzene","emission/air","","221300",0.74472212392934 -"p-Nitrophenol","emission/air","","221100",0.11222894218564 -"p-Nitrophenol","emission/air","","221300",0.88777105781436 -"p-Xylene","emission/air","","221100",0.784430816276126 -"p-Xylene","emission/air","","221300",0.215569183723874 -"PAH/POM, unspecified","emission/air","","221100",0.975954577902492 -"PAH/POM, unspecified","emission/air","","221200",0.0188132579825469 -"PAH/POM, unspecified","emission/air","","221300",0.00523216411496078 -"Particulate matter, = 2.5µm","emission/air","","221100",0.978362321284935 -"Particulate matter, = 2.5µm","emission/air","","221200",0.00770148430558551 -"Particulate matter, = 2.5µm","emission/air","","221300",0.0139361944094798 -"Particulate matter, > 2.5µm and = 10µm","emission/air","","221100",0.990606680033475 -"Particulate matter, > 2.5µm and = 10µm","emission/air","","221200",0.00047286075736233 -"Particulate matter, > 2.5µm and = 10µm","emission/air","","221300",0.00892045920916243 -"Pentachlorobiphenyl","emission/air","","221100",0.324176008264763 -"Pentachlorobiphenyl","emission/air","","221300",0.675823991735237 -"Pentachlorophenol","emission/air","","221100",0.115761021226301 -"Pentachlorophenol","emission/air","","221300",0.884238978773699 -"Perylene","emission/air","","221100",0.722544165706923 -"Perylene","emission/air","","221200",0.00777369527794853 -"Perylene","emission/air","","221300",0.269682139015128 -"Phenanthrene","emission/air","","221100",0.884486273521378 -"Phenanthrene","emission/air","","221200",0.0136871471667281 -"Phenanthrene","emission/air","","221300",0.101826579311894 -"Phenol","emission/air","","221100",0.516296804597348 -"Phenol","emission/air","","221200",0.192864998495272 -"Phenol","emission/air","","221300",0.29083819690738 -"Phosphorus","emission/air","","221100",0.835567629634426 -"Phosphorus","emission/air","","221200",4.32789732011043e-05 -"Phosphorus","emission/air","","221300",0.164389091392373 -"Phthalic anhydride","emission/air","","221100",1 -"Polychlorinated biphenyls","emission/air","","221100",0.257958862389887 -"Polychlorinated biphenyls","emission/air","","221300",0.742041137610113 -"Polycyclic aromatic hydrocarbons","emission/air","","221100",0.146129980409218 -"Polycyclic aromatic hydrocarbons","emission/air","","221200",0.784175847103961 -"Polycyclic aromatic hydrocarbons","emission/air","","221300",0.0696941724868214 -"Propionaldehyde","emission/air","","221100",0.965631466362563 -"Propionaldehyde","emission/air","","221300",0.0343685336374372 -"Propylene","emission/air","","221100",1 -"Propylene oxide","emission/air","","221100",0.946192933425549 -"Propylene oxide","emission/air","","221200",0.0115517159279884 -"Propylene oxide","emission/air","","221300",0.0422553506464625 -"Pyrene","emission/air","","221100",0.871626496386317 -"Pyrene","emission/air","","221200",0.00288057571794611 -"Pyrene","emission/air","","221300",0.125492927895737 -"Quinoline","emission/air","","221100",0.00544430132832143 -"Quinoline","emission/air","","221200",0.994555698671679 -"Selenium","emission/air","","221100",0.997655447300439 -"Selenium","emission/air","","221200",1.16018275006751e-07 -"Selenium","emission/air","","221300",0.00234443668128606 -"Selenium compounds","emission/air","","221100",1 -"Styrene","emission/air","","221100",0.675900695772747 -"Styrene","emission/air","","221200",0.00115646759118074 -"Styrene","emission/air","","221300",0.322942836636072 -"Styrene oxide","emission/air","","221100",1 -"Sulfur dioxide","emission/air","","221100",0.993405239007915 -"Sulfur dioxide","emission/air","","221200",0.00402681499905937 -"Sulfur dioxide","emission/air","","221300",0.00256794599302598 -"Sulfuric acid","emission/air","","221100",1 -"Tetrachlorobiphenyl","emission/air","","221100",0.324231547730229 -"Tetrachlorobiphenyl","emission/air","","221300",0.675768452269771 -"Tetrachloroethylene","emission/air","","221100",0.147077970292167 -"Tetrachloroethylene","emission/air","","221200",1.49062653001911e-05 -"Tetrachloroethylene","emission/air","","221300",0.852907123442532 -"Thallium compounds","emission/air","","221100",1 -"Toluene","emission/air","","221100",0.85188174759143 -"Toluene","emission/air","","221200",0.0264020164315515 -"Toluene","emission/air","","221300",0.121716235977019 -"Tribromomethane","emission/air","","221100",0.990647417399612 -"Tribromomethane","emission/air","","221300",0.0093525826003876 -"Trichloroethylene","emission/air","","221100",0.224095565830913 -"Trichloroethylene","emission/air","","221300",0.775904434169087 -"Vanadium","emission/air","","221100",1 -"Vanadium compounds","emission/air","","221100",1 -"Vinyl acetate","emission/air","","221100",0.777048549839004 -"Vinyl acetate","emission/air","","221300",0.222951450160996 -"Vinyl chloride","emission/air","","221100",0.547823985636961 -"Vinyl chloride","emission/air","","221200",0.0134839300643513 -"Vinyl chloride","emission/air","","221300",0.438692084298688 -"Volatile organic compounds","emission/air","","221100",0.767291401384913 -"Volatile organic compounds","emission/air","","221200",0.0329516908175736 -"Volatile organic compounds","emission/air","","221300",0.199756907797513 -"Xylene","emission/air","","221100",0.47752880226004 -"Xylene","emission/air","","221200",0.0151892446003544 -"Xylene","emission/air","","221300",0.507281953139605 -"Zinc","emission/air","","221100",1 -"Zinc compounds","emission/air","","221100",1 -"Diethanolamine","emission/air","","221200",0.574707083772465 -"Diethanolamine","emission/air","","221300",0.425292916227535 -"2-Methoxyethanol","emission/air","","221300",1 -"2-Nitropropane","emission/air","","221300",1 -"4,6-Dinitro-o-cresol","emission/air","","221300",1 -"Acrylic acid","emission/air","","221300",1 -"Benzo[ghi]fluoranthene","emission/air","","221300",1 -"Benzo[j]fluoranthene","emission/air","","221300",1 -"Chloroprene","emission/air","","221300",1 -"Dichlorvos","emission/air","","221300",1 -"Epichlorohydrin","emission/air","","221300",1 -"Ethyl acrylate","emission/air","","221300",1 -"Ethylene glycol monopropyl ether","emission/air","","221300",1 -"Ethylene oxide","emission/air","","221300",1 -"Heptachlor","emission/air","","221300",1 -"Hydroquinone","emission/air","","221300",1 -"Maleic anhydride","emission/air","","221300",1 -"N,N-Dimethylaniline","emission/air","","221300",1 -"N,N-Dimethylformamide","emission/air","","221300",1 -"o-Toluidine","emission/air","","221300",1 -"Phosgene","emission/air","","221300",1 -"Quinone","emission/air","","221300",1 -"Toxaphene","emission/air","","221300",1 -"Triethylamine","emission/air","","221300",1 -"Ammonia","emission/ground","","221100",1 -"Anthracene","emission/ground","","221100",1 -"Antimony compounds","emission/ground","","221100",1 -"Arsenic compounds","emission/ground","","221100",1 -"Barium compounds","emission/ground","","221100",1 -"Benzo[ghi]perylene","emission/ground","","221100",1 -"Beryllium compounds","emission/ground","","221100",1 -"Chromium compounds","emission/ground","","221100",0.999982897798094 -"Chromium compounds","emission/ground","","221300",1.7102201905759e-05 -"Cobalt","emission/ground","","221100",1 -"Cobalt compounds","emission/ground","","221100",0.999896945463539 -"Cobalt compounds","emission/ground","","221300",0.000103054536460695 -"Copper compounds","emission/ground","","221100",0.998405239498309 -"Copper compounds","emission/ground","","221300",0.00159476050169137 -"Dioxins","emission/ground","","221100",1 -"Formic acid","emission/ground","","221100",1 -"Lead","emission/ground","","221100",0.510388208097512 -"Lead","emission/ground","","221300",0.489611791902488 -"Lead compounds","emission/ground","","221100",0.997548583551255 -"Lead compounds","emission/ground","","221300",0.00245141644874504 -"Manganese","emission/ground","","221100",1 -"Manganese compounds","emission/ground","","221100",1 -"Mercury","emission/ground","","221100",1 -"Mercury compounds","emission/ground","","221100",1 -"Naphthalene","emission/ground","","221100",1 -"Nickel compounds","emission/ground","","221100",0.999872955823917 -"Nickel compounds","emission/ground","","221300",0.000127044176083228 -"Phenanthrene","emission/ground","","221100",1 -"Selenium compounds","emission/ground","","221100",1 -"Thallium compounds","emission/ground","","221100",1 -"Vanadium","emission/ground","","221100",1 -"Vanadium compounds","emission/ground","","221100",1 -"Zinc compounds","emission/ground","","221100",0.998797428190524 -"Zinc compounds","emission/ground","","221300",0.0012025718094764 -"Copper","emission/ground","","221300",1 -"Hydrogen sulfide","emission/ground","","221300",1 -"1,2-Dichloroethane","emission/water","","221100",0.0356407264705551 -"1,2-Dichloroethane","emission/water","","221300",0.964359273529445 -"Aluminum","emission/water","","221100",0.748543992874645 -"Aluminum","emission/water","","221300",0.251456007125355 -"Ammonia","emission/water","","221100",1 -"Antimony","emission/water","","221100",0.284055519919786 -"Antimony","emission/water","","221300",0.715944480080214 -"Antimony compounds","emission/water","","221100",1 -"Arsenic","emission/water","","221100",0.416015249439957 -"Arsenic","emission/water","","221300",0.583984750560043 -"Arsenic compounds","emission/water","","221100",1 -"Barium","emission/water","","221100",0.110999371245549 -"Barium","emission/water","","221300",0.889000628754451 -"Barium compounds","emission/water","","221100",1 -"Benzene","emission/water","","221100",0.0183775210670722 -"Benzene","emission/water","","221200",0.00111922350885353 -"Benzene","emission/water","","221300",0.980503255424074 -"Benzo[ghi]perylene","emission/water","","221100",0.00167035604716825 -"Benzo[ghi]perylene","emission/water","","221300",0.998329643952832 -"Beryllium","emission/water","","221100",0.0971306320125592 -"Beryllium","emission/water","","221300",0.902869367987441 -"Beryllium compounds","emission/water","","221100",1 -"Biological Oxygen Demand","emission/water","","221100",0.000391807771238533 -"Biological Oxygen Demand","emission/water","","221300",0.999608192228762 -"Boron","emission/water","","221100",0.956514048918537 -"Boron","emission/water","","221300",0.0434859510814635 -"Bromide","emission/water","","221100",0.00876724520587406 -"Bromide","emission/water","","221300",0.991232754794126 -"Cadmium","emission/water","","221100",0.000826311015402505 -"Cadmium","emission/water","","221300",0.999173688984598 -"Chemical Oxygen Demand","emission/water","","221100",0.988541880567035 -"Chemical Oxygen Demand","emission/water","","221300",0.0114581194329653 -"Chloride","emission/water","","221100",0.0214004458573142 -"Chloride","emission/water","","221300",0.978599554142686 -"Chlorides and sulfates, total","emission/water","","221100",1 -"Chlorine","emission/water","","221100",0.0931204723881564 -"Chlorine","emission/water","","221200",4.68868677608197e-08 -"Chlorine","emission/water","","221300",0.906879480724976 -"Chloroform","emission/water","","221100",0.0389729846356503 -"Chloroform","emission/water","","221300",0.96102701536435 -"Chromium","emission/water","","221100",0.0572770315784793 -"Chromium","emission/water","","221300",0.942722968421521 -"Chromium compounds","emission/water","","221100",0.983100872615757 -"Chromium compounds","emission/water","","221300",0.0168991273842427 -"Chromium(III)","emission/water","","221100",0.0212449852350946 -"Chromium(III)","emission/water","","221300",0.978755014764905 -"Chromium(VI)","emission/water","","221100",0.0399448721827804 -"Chromium(VI)","emission/water","","221300",0.96005512781722 -"Cobalt compounds","emission/water","","221100",0.849462365591398 -"Cobalt compounds","emission/water","","221300",0.150537634408602 -"Copper","emission/water","","221100",0.18550069924345 -"Copper","emission/water","","221300",0.81449930075655 -"Copper compounds","emission/water","","221100",0.995465479482424 -"Copper compounds","emission/water","","221300",0.00453452051757599 -"Cyanide","emission/water","","221100",0.00260179891997081 -"Cyanide","emission/water","","221300",0.997398201080029 -"Di(2-ethylhexyl) phthalate","emission/water","","221100",0.00108768727904124 -"Di(2-ethylhexyl) phthalate","emission/water","","221300",0.998912312720959 -"Dioxins","emission/water","","221100",1 -"Ethylbenzene","emission/water","","221100",0.00104480878250932 -"Ethylbenzene","emission/water","","221200",0.00077258096656405 -"Ethylbenzene","emission/water","","221300",0.998182610250927 -"Fluoride","emission/water","","221100",0.109556579794518 -"Fluoride","emission/water","","221300",0.890443420205482 -"Formic acid","emission/water","","221100",1 -"Hydrazine","emission/water","","221100",1 -"Hydrocarbons","emission/water","","221100",0.999442183760607 -"Hydrocarbons","emission/water","","221300",0.000557816239393137 -"Hydrocarbons, petroleum","emission/water","","221100",0.968455785305763 -"Hydrocarbons, petroleum","emission/water","","221300",0.0315442146942367 -"Iron","emission/water","","221100",0.963185866469421 -"Iron","emission/water","","221300",0.0368141335305793 -"Lead","emission/water","","221100",0.0106572701684001 -"Lead","emission/water","","221300",0.9893427298316 -"Lead compounds","emission/water","","221100",0.960676674091761 -"Lead compounds","emission/water","","221300",0.0393233259082392 -"Manganese","emission/water","","221100",0.192944586425856 -"Manganese","emission/water","","221300",0.807055413574144 -"Manganese compounds","emission/water","","221100",1 -"Mercury","emission/water","","221100",0.00157205727740415 -"Mercury","emission/water","","221300",0.998427942722596 -"Mercury compounds","emission/water","","221100",1 -"Methanol","emission/water","","221100",1 -"Molybdenum","emission/water","","221100",0.0237201859411087 -"Molybdenum","emission/water","","221300",0.976279814058891 -"Molybdenum trioxide","emission/water","","221100",1 -"Nickel","emission/water","","221100",0.00734455472535467 -"Nickel","emission/water","","221300",0.992655445274645 -"Nickel compounds","emission/water","","221100",0.992549347496182 -"Nickel compounds","emission/water","","221300",0.00745065250381763 -"Nitrate compounds","emission/water","","221100",1 -"Nitrogen","emission/water","","221100",0.0271047491808082 -"Nitrogen","emission/water","","221300",0.972895250819192 -"Oxygen","emission/water","","221100",0.314407090239892 -"Oxygen","emission/water","","221300",0.685592909760108 -"Phosphorus","emission/water","","221100",0.000169080341574315 -"Phosphorus","emission/water","","221300",0.999830919658426 -"Selenium","emission/water","","221100",0.679915602729808 -"Selenium","emission/water","","221300",0.320084397270192 -"Selenium compounds","emission/water","","221100",1 -"Silver","emission/water","","221100",0.432663871415449 -"Silver","emission/water","","221300",0.567336128584551 -"Sulfate","emission/water","","221100",0.486243101495168 -"Sulfate","emission/water","","221300",0.513756898504832 -"Thallium","emission/water","","221100",0.129476802682787 -"Thallium","emission/water","","221300",0.870523197317213 -"Thallium compounds","emission/water","","221100",1 -"Titanium","emission/water","","221100",1 -"Total dissolved solids","emission/water","","221100",0.857414387088286 -"Total dissolved solids","emission/water","","221300",0.142585612911714 -"Total metals","emission/water","","221100",1 -"Total oil and grease, less total petroleum hydrocarbons (TPH)","emission/water","","221100",0.653873869000955 -"Total oil and grease, less total petroleum hydrocarbons (TPH)","emission/water","","221200",5.915330107257e-05 -"Total oil and grease, less total petroleum hydrocarbons (TPH)","emission/water","","221300",0.346066977697973 -"Total Organic Carbon","emission/water","","221100",0.115235840253257 -"Total Organic Carbon","emission/water","","221200",0.000629972795052456 -"Total Organic Carbon","emission/water","","221300",0.88413418695169 -"Total suspended solids","emission/water","","221100",0.276813897168242 -"Total suspended solids","emission/water","","221200",5.5040851823331e-05 -"Total suspended solids","emission/water","","221300",0.723131061979935 -"Vanadium","emission/water","","221100",1 -"Vanadium compounds","emission/water","","221100",1 -"Zinc","emission/water","","221100",0.0608217141295712 -"Zinc","emission/water","","221200",1.18286434635222e-08 -"Zinc","emission/water","","221300",0.939178274041785 -"Zinc compounds","emission/water","","221100",0.995345355441044 -"Zinc compounds","emission/water","","221300",0.00465464455895608 -"Toluene","emission/water","","221200",0.000554540207029098 -"Toluene","emission/water","","221300",0.999445459792971 -"Xylene","emission/water","","221200",0.00537775995302217 -"Xylene","emission/water","","221300",0.994622240046978 -".alpha.-Endosulfan","emission/water","","221300",1 -".alpha.-Hexachlorocyclohexane","emission/water","","221300",1 -".beta.-Endosulfan","emission/water","","221300",1 -".beta.-Hexachlorocyclohexane","emission/water","","221300",1 -".delta.-Hexachlorocyclohexane","emission/water","","221300",1 -"1,1-Dichloroethane","emission/water","","221300",1 -"1,1-Dichloroethylene","emission/water","","221300",1 -"1,1,1-Trichloroethane","emission/water","","221300",1 -"1,1,2-Trichloroethane","emission/water","","221300",1 -"1,1,2,2-Tetrachloroethane","emission/water","","221300",1 -"1,2-Dichloropropane","emission/water","","221300",1 -"1,2-Diphenylhydrazine","emission/water","","221300",1 -"1,2,4-Trichlorobenzene","emission/water","","221300",1 -"1,2,4-Trimethylbenzene","emission/water","","221300",1 -"1,3-Dichloropropene","emission/water","","221300",1 -"2-Chloroethyl vinyl ether","emission/water","","221300",1 -"2-Chloronaphthalene","emission/water","","221300",1 -"2,3,7,8-Tetrachlorodibenzo-p-dioxin","emission/water","","221300",1 -"2,4-Dichlorophenol","emission/water","","221300",1 -"2,4-Dimethylphenol","emission/water","","221300",1 -"2,4-Dinitrophenol","emission/water","","221300",1 -"2,4-Dinitrotoluene","emission/water","","221300",1 -"2,4,6-Trichlorophenol","emission/water","","221300",1 -"2,6-Dinitrotoluene","emission/water","","221300",1 -"3,3'-Dichlorobenzidine","emission/water","","221300",1 -"4,6-Dinitro-o-cresol","emission/water","","221300",1 -"Acenaphthene","emission/water","","221300",1 -"Acenaphthylene","emission/water","","221300",1 -"Acetaldehyde","emission/water","","221300",1 -"Acrolein","emission/water","","221300",1 -"Acrylonitrile","emission/water","","221300",1 -"Aldrin","emission/water","","221300",1 -"Anthracene","emission/water","","221300",1 -"Aroclor 1016","emission/water","","221300",1 -"Aroclor 1221","emission/water","","221300",1 -"Aroclor 1232","emission/water","","221300",1 -"Aroclor 1242","emission/water","","221300",1 -"Aroclor 1248","emission/water","","221300",1 -"Aroclor 1254","emission/water","","221300",1 -"Aroclor 1260","emission/water","","221300",1 -"Aromatic hydrocarbons","emission/water","","221300",1 -"Atrazine","emission/water","","221300",1 -"Benz[a]anthracene","emission/water","","221300",1 -"Benzidine","emission/water","","221300",1 -"Benzo(b)fluoranthene","emission/water","","221300",1 -"Benzo[a]pyrene","emission/water","","221300",1 -"Benzo[k]fluoranthene","emission/water","","221300",1 -"Bicarbonate","emission/water","","221300",1 -"Bis(2-chloroethoxy)methane","emission/water","","221300",1 -"Bis(2-chloroethyl) ether","emission/water","","221300",1 -"Bis(2-chloroisopropyl) ether","emission/water","","221300",1 -"Bromine","emission/water","","221300",1 -"Butyl benzyl phthalate","emission/water","","221300",1 -"Carbon tetrachloride","emission/water","","221300",1 -"Carbonate","emission/water","","221300",1 -"Chlordane, technical","emission/water","","221300",1 -"Chlorobenzene","emission/water","","221300",1 -"Chlorodibromomethane","emission/water","","221300",1 -"Chloroethane","emission/water","","221300",1 -"Chloromethane","emission/water","","221300",1 -"Chlorophyll a","emission/water","","221300",1 -"Chrysene","emission/water","","221300",1 -"Cyclohexane","emission/water","","221300",1 -"Di-n-octyl phthalate","emission/water","","221300",1 -"Dibenz[a,h]anthracene","emission/water","","221300",1 -"Dibutyl phthalate","emission/water","","221300",1 -"Dichlorobromomethane","emission/water","","221300",1 -"Dieldrin","emission/water","","221300",1 -"Diethanolamine","emission/water","","221300",1 -"Diethyl phthalate","emission/water","","221300",1 -"Dimethyl phthalate","emission/water","","221300",1 -"Endosulfan sulfate","emission/water","","221300",1 -"Endrin","emission/water","","221300",1 -"Endrin aldehyde","emission/water","","221300",1 -"Ethylene glycol","emission/water","","221300",1 -"Fluoranthene","emission/water","","221300",1 -"Fluorene","emission/water","","221300",1 -"Heptachlor","emission/water","","221300",1 -"Heptachlor epoxide","emission/water","","221300",1 -"Hexachlorobenzene","emission/water","","221300",1 -"Hexachlorobutadiene","emission/water","","221300",1 -"Hexachlorocyclopentadiene","emission/water","","221300",1 -"Hexachloroethane","emission/water","","221300",1 -"Hydrocarbons, halogenated","emission/water","","221300",1 -"Hydrogen sulfide","emission/water","","221300",1 -"Indeno[1,2,3-cd]pyrene","emission/water","","221300",1 -"Isophorone","emission/water","","221300",1 -"Lindane","emission/water","","221300",1 -"m-Dichlorobenzene","emission/water","","221300",1 -"Magnesium","emission/water","","221300",1 -"Methyl bromide","emission/water","","221300",1 -"Methyl tert-butyl ether","emission/water","","221300",1 -"Methylene chloride","emission/water","","221300",1 -"N-Nitrosodi-n-propylamine","emission/water","","221300",1 -"N-Nitrosodimethylamine","emission/water","","221300",1 -"N-Nitrosodiphenylamine","emission/water","","221300",1 -"Naphthalene","emission/water","","221300",1 -"Nitrobenzene","emission/water","","221300",1 -"Nonylphenol","emission/water","","221300",1 -"o-Chlorophenol","emission/water","","221300",1 -"o-Dichlorobenzene","emission/water","","221300",1 -"o-Nitrophenol","emission/water","","221300",1 -"p-Bromophenyl phenyl ether","emission/water","","221300",1 -"p-Chloro-m-cresol","emission/water","","221300",1 -"p-Chlorophenyl phenyl ether","emission/water","","221300",1 -"p-Dichlorobenzene","emission/water","","221300",1 -"p-Nitrophenol","emission/water","","221300",1 -"p,p'-DDD","emission/water","","221300",1 -"p,p'-DDE","emission/water","","221300",1 -"p,p'-DDT","emission/water","","221300",1 -"Pentachlorophenol","emission/water","","221300",1 -"Peracetic acid","emission/water","","221300",1 -"Phenanthrene","emission/water","","221300",1 -"Phenol","emission/water","","221300",1 -"Phenols","emission/water","","221300",1 -"Polychlorinated biphenyls","emission/water","","221300",1 -"Potassium","emission/water","","221300",1 -"Pyrene","emission/water","","221300",1 -"Sodium","emission/water","","221300",1 -"Strontium","emission/water","","221300",1 -"Styrene","emission/water","","221300",1 -"Tetrachloroethylene","emission/water","","221300",1 -"Toxaphene","emission/water","","221300",1 -"trans-1,2-Dichloroethylene","emission/water","","221300",1 -"Tribromomethane","emission/water","","221300",1 -"Trichloroethylene","emission/water","","221300",1 -"Uranium","emission/water","","221300",1 -"Vinyl chloride","emission/water","","221300",1 -"Hexafluoroethane","emission/air","","221100",NA -"Hexafluoroethane","emission/air","","221200",NA -"Hexafluoroethane","emission/air","","221300",NA -"Perfluoropropane","emission/air","","221100",NA -"Perfluoropropane","emission/air","","221200",NA -"Perfluoropropane","emission/air","","221300",NA -"Perfluorocyclobutane","emission/air","","221100",NA -"Perfluorocyclobutane","emission/air","","221200",NA -"Perfluorocyclobutane","emission/air","","221300",NA -"Carbon tetrafluoride","emission/air","","221100",NA -"Carbon tetrafluoride","emission/air","","221200",NA -"Carbon tetrafluoride","emission/air","","221300",NA -"Methane","emission/air","","221100",0.0329263408794968 -"Methane","emission/air","","221200",0.433008844967677 -"Methane","emission/air","","221300",0.534064814152826 -"Carbon dioxide","emission/air","","221100",0.999356984296759 -"Carbon dioxide","emission/air","","221200",0.000423787656543493 -"Carbon dioxide","emission/air","","221300",0.000219228046697633 -"HFC-125","emission/air","","221100",NA -"HFC-125","emission/air","","221200",NA -"HFC-125","emission/air","","221300",NA -"HFC-134a","emission/air","","221100",NA -"HFC-134a","emission/air","","221200",NA -"HFC-134a","emission/air","","221300",NA -"HFC-143a","emission/air","","221100",NA -"HFC-143a","emission/air","","221200",NA -"HFC-143a","emission/air","","221300",NA -"HFC-23","emission/air","","221100",NA -"HFC-23","emission/air","","221200",NA -"HFC-23","emission/air","","221300",NA -"HFC-236fa","emission/air","","221100",NA -"HFC-236fa","emission/air","","221200",NA -"HFC-236fa","emission/air","","221300",NA -"HFC-32","emission/air","","221100",NA -"HFC-32","emission/air","","221200",NA -"HFC-32","emission/air","","221300",NA -"Nitrous oxide","emission/air","","221100",0.711955430410141 -"Nitrous oxide","emission/air","","221200",2.59631897100034e-05 -"Nitrous oxide","emission/air","","221300",0.288018606400149 -"Nitrogen trifluoride","emission/air","","221100",NA -"Nitrogen trifluoride","emission/air","","221200",NA -"Nitrogen trifluoride","emission/air","","221300",NA -"Sulfur hexafluoride","emission/air","","221100",1 -"Sulfur hexafluoride","emission/air","","221200",0 -"Sulfur hexafluoride","emission/air","","221300",0 -"Land use","resource/ground/human-dominated/industrial","","221100",1 -"Uranium","resource/ground","","221100",1 -"Energy, geothermal","resource/ground","","221100",1 -"Biomass","resource/biotic","","221100",0.999239672579092 -"Biomass","resource/biotic","","221300",0.000760327420907702 -"Energy, hydro","resource/water","","221100",0.999890504140938 -"Energy, hydro","resource/water","","221300",0.000109495859062353 -"Energy, solar","resource/air","","221100",0.999526211082044 -"Energy, solar","resource/air","","221300",0.000473788917955755 -"Energy, wind","resource/air","","221100",0.999937732386147 -"Energy, wind","resource/air","","221300",6.2267613852585e-05 -"Aluminum Cans","Waste Flows/MSW","","221100",0.752368580191692 -"Aluminum Cans","Waste Flows/MSW","","221300",0.034731710229525 -"Aluminum Cans","Waste Flows/MSW","","221200",0.212899709578783 -"Ash","Waste Flows/MSW","","221200",0.212899709616764 -"Ash","Waste Flows/MSW","","221100",0.752368580151817 -"Ash","Waste Flows/MSW","","221300",0.0347317102314194 -"Asphalt Shingles","Waste Flows/CDD","","221200",0.212899709548641 -"Asphalt Shingles","Waste Flows/CDD","","221100",0.752368580216653 -"Asphalt Shingles","Waste Flows/CDD","","221300",0.034731710234706 -"Batteries","Waste Flows/MSW","","221200",0.21289970955127 -"Batteries","Waste Flows/MSW","","221100",0.752368580221996 -"Batteries","Waste Flows/MSW","","221300",0.0347317102267343 -"Brown Glass Bottles and Containers","Waste Flows/MSW","","221200",0.212899709600987 -"Brown Glass Bottles and Containers","Waste Flows/MSW","","221100",0.752368580161846 -"Brown Glass Bottles and Containers","Waste Flows/MSW","","221300",0.0347317102371668 -"Brown Goods","Waste Flows/MSW","","221200",0.21289970958599 -"Brown Goods","Waste Flows/MSW","","221100",0.752368580191653 -"Brown Goods","Waste Flows/MSW","","221300",0.0347317102223574 -"Bulky Items","Waste Flows/MSW","","221100",0.752368580253461 -"Bulky Items","Waste Flows/MSW","","221300",0.034731710225405 -"Bulky Items","Waste Flows/MSW","","221200",0.212899709521134 -"Carpet","Waste Flows/MSW","","221100",0.752368580195973 -"Carpet","Waste Flows/MSW","","221200",0.212899709577876 -"Carpet","Waste Flows/MSW","","221300",0.0347317102261517 -"Wood","Waste Flows/CDD","","221100",0.0360977517941775 -"Wood","Waste Flows/CDD","","221300",0.00166638624776546 -"Wood","Waste Flows/CDD","","221200",0.0102146754611644 -"Wood","Waste Flows/CDD","","221100",0.353968343893987 -"Wood","Waste Flows/CDD","","221200",0.100163350272452 -"Wood","Waste Flows/CDD","","221300",0.0163402968662859 -"Wood","Waste Flows/CDD","","221200",0.079808412777503 -"Wood","Waste Flows/CDD","","221100",0.282035810848575 -"Wood","Waste Flows/CDD","","221300",0.0130196639169939 -"Wood","Waste Flows/CDD","","221300",0.00370536320061601 -"Wood","Waste Flows/CDD","","221100",0.0802666736419143 -"Wood","Waste Flows/CDD","","221200",0.0227132710785651 -"Clear Glass Bottles and Containers","Waste Flows/MSW","","221200",0.212899709547647 -"Clear Glass Bottles and Containers","Waste Flows/MSW","","221300",0.03473171022134 -"Clear Glass Bottles and Containers","Waste Flows/MSW","","221100",0.752368580231013 -"Computer-related Electronics","Waste Flows/MSW","","221300",0.034731710230177 -"Computer-related Electronics","Waste Flows/MSW","","221200",0.212899709561897 -"Computer-related Electronics","Waste Flows/MSW","","221100",0.752368580207926 -"Concrete","Waste Flows/CDD","","221300",0.0347317102414778 -"Concrete","Waste Flows/CDD","","221200",0.212899709573186 -"Concrete","Waste Flows/CDD","","221100",0.752368580185336 -"Durable Plastic Items - Number 2 and 5 Bulky Rigids","Waste Flows/MSW","","221300",0.0347317102297259 -"Durable Plastic Items - Number 2 and 5 Bulky Rigids","Waste Flows/MSW","","221100",0.752368580190669 -"Durable Plastic Items - Number 2 and 5 Bulky Rigids","Waste Flows/MSW","","221200",0.212899709579605 -"Durable Plastic Items - Other","Waste Flows/MSW","","221200",0.212899709614063 -"Durable Plastic Items - Other","Waste Flows/MSW","","221300",0.0347317102326581 -"Durable Plastic Items - Other","Waste Flows/MSW","","221100",0.752368580153279 -"Film Products","Waste Flows/MSW","","221100",0.752368580155251 -"Film Products","Waste Flows/MSW","","221300",0.0347317102259393 -"Film Products","Waste Flows/MSW","","221200",0.212899709618809 -"Flat Glass","Waste Flows/MSW","","221300",0.0347317102246929 -"Flat Glass","Waste Flows/MSW","","221100",0.752368580176105 -"Flat Glass","Waste Flows/MSW","","221200",0.212899709599202 -"Food","Waste Flows/MSW","","221100",0.752368580230101 -"Food","Waste Flows/MSW","","221300",0.0347317102248209 -"Food","Waste Flows/MSW","","221200",0.212899709545079 -"Green Glass Bottles and Containers","Waste Flows/MSW","","221100",0.752368580135576 -"Green Glass Bottles and Containers","Waste Flows/MSW","","221300",0.0347317102378338 -"Green Glass Bottles and Containers","Waste Flows/MSW","","221200",0.21289970962659 -"Gypsum Drywall","Waste Flows/CDD","","221100",0.752368580230285 -"Gypsum Drywall","Waste Flows/CDD","","221200",0.212899709539935 -"Gypsum Drywall","Waste Flows/CDD","","221300",0.0347317102297802 -"HDPE Plastic Containers","Waste Flows/MSW","","221200",0.212899709635968 -"HDPE Plastic Containers","Waste Flows/MSW","","221300",0.0347317102450287 -"HDPE Plastic Containers","Waste Flows/MSW","","221100",0.752368580119004 -"Leaves and Grass","Waste Flows/MSW","","221300",0.0347317102300042 -"Leaves and Grass","Waste Flows/MSW","","221100",0.752368580192246 -"Leaves and Grass","Waste Flows/MSW","","221200",0.21289970957775 -"Magazines and Catalogs","Waste Flows/MSW","","221200",0.212899709610666 -"Magazines and Catalogs","Waste Flows/MSW","","221100",0.752368580159833 -"Magazines and Catalogs","Waste Flows/MSW","","221300",0.0347317102295015 -"Manures","Waste Flows/MSW","","221200",0.212899709534226 -"Manures","Waste Flows/MSW","","221100",0.752368580246013 -"Manures","Waste Flows/MSW","","221300",0.0347317102197609 -"Miscellaneous Plastic Containers","Waste Flows/MSW","","221300",0.0347317102257506 -"Miscellaneous Plastic Containers","Waste Flows/MSW","","221200",0.212899709551021 -"Miscellaneous Plastic Containers","Waste Flows/MSW","","221100",0.752368580223228 -"Mixed Residue","Waste Flows/MSW","","221100",0.752368580192374 -"Mixed Residue","Waste Flows/MSW","","221300",0.0347317102333691 -"Mixed Residue","Waste Flows/MSW","","221200",0.212899709574256 -"Newspaper","Waste Flows/MSW","","221100",0.752368580195454 -"Newspaper","Waste Flows/MSW","","221300",0.0347317102271221 -"Newspaper","Waste Flows/MSW","","221200",0.212899709577424 -"Non-Bag Commercial and Industrial Packaging Film","Waste Flows/MSW","","221100",0.752368580216081 -"Non-Bag Commercial and Industrial Packaging Film","Waste Flows/MSW","","221300",0.034731710223812 -"Non-Bag Commercial and Industrial Packaging Film","Waste Flows/MSW","","221200",0.212899709560107 -"Other Ferrous","Waste Flows/MSW","","221100",0.752368580173383 -"Other Ferrous","Waste Flows/MSW","","221300",0.0347317102276057 -"Other Ferrous","Waste Flows/MSW","","221200",0.212899709599011 -"Other Film - Other","Waste Flows/MSW","","221100",0.752368580151488 -"Other Film - Other","Waste Flows/MSW","","221300",0.0347317102330971 -"Other Film - Other","Waste Flows/MSW","","221200",0.212899709615415 -"Other Miscellaneous Paper - Compostable","Waste Flows/MSW","","221100",0.752368580210728 -"Other Miscellaneous Paper - Compostable","Waste Flows/MSW","","221300",0.0347317102352825 -"Other Miscellaneous Paper - Compostable","Waste Flows/MSW","","221200",0.212899709553989 -"Other Miscellaneous Paper - Other","Waste Flows/MSW","","221100",0.752368580190779 -"Other Miscellaneous Paper - Other","Waste Flows/MSW","","221200",0.212899709580379 -"Other Miscellaneous Paper - Other","Waste Flows/MSW","","221300",0.0347317102288422 -"Other Non-Ferrous","Waste Flows/MSW","","221300",0.0347317102301099 -"Other Non-Ferrous","Waste Flows/MSW","","221100",0.752368580216978 -"Other Non-Ferrous","Waste Flows/MSW","","221200",0.212899709552912 -"Other Office Paper","Waste Flows/MSW","","221100",0.752368580151028 -"Other Office Paper","Waste Flows/MSW","","221300",0.0347317102293382 -"Other Office Paper","Waste Flows/MSW","","221200",0.212899709619634 -"Other Small Consumer Electronics","Waste Flows/MSW","","221100",0.752368580229723 -"Other Small Consumer Electronics","Waste Flows/MSW","","221200",0.212899709545158 -"Other Small Consumer Electronics","Waste Flows/MSW","","221300",0.0347317102251191 -"Paper Bags","Waste Flows/MSW","","221100",0.752368580172896 -"Paper Bags","Waste Flows/MSW","","221200",0.21289970959618 -"Paper Bags","Waste Flows/MSW","","221300",0.0347317102309238 -"PETE Plastic Containers","Waste Flows/MSW","","221200",0.212899709545876 -"PETE Plastic Containers","Waste Flows/MSW","","221100",0.752368580228084 -"PETE Plastic Containers","Waste Flows/MSW","","221300",0.0347317102260394 -"Phone Books and Directories","Waste Flows/MSW","","221100",0.75236858020103 -"Phone Books and Directories","Waste Flows/MSW","","221200",0.212899709565836 -"Phone Books and Directories","Waste Flows/MSW","","221300",0.034731710233134 -"Plastic Grocery and Other Merchandise Bags","Waste Flows/MSW","","221100",0.752368580167092 -"Plastic Grocery and Other Merchandise Bags","Waste Flows/MSW","","221200",0.212899709606903 -"Plastic Grocery and Other Merchandise Bags","Waste Flows/MSW","","221300",0.0347317102260051 -"Plastic Trash Bags","Waste Flows/MSW","","221300",0.0347317102280166 -"Plastic Trash Bags","Waste Flows/MSW","","221200",0.212899709593981 -"Plastic Trash Bags","Waste Flows/MSW","","221100",0.752368580178003 -"Prunings and Trimmings","Waste Flows/MSW","","221300",0.0347317102352355 -"Prunings and Trimmings","Waste Flows/MSW","","221200",0.212899709607407 -"Prunings and Trimmings","Waste Flows/MSW","","221100",0.752368580157357 -"Glass","Waste Flows/MSW","","221100",0.752368580252491 -"Glass","Waste Flows/MSW","","221200",0.212899709514388 -"Glass","Waste Flows/MSW","","221300",0.0347317102331214 -"Remainder/Composite Household Hazardous","Waste Flows/MSW","","221200",0.212899709566948 -"Remainder/Composite Household Hazardous","Waste Flows/MSW","","221100",0.752368580202784 -"Remainder/Composite Household Hazardous","Waste Flows/MSW","","221300",0.0347317102302683 -"Other","Waste Flows/CDD","","221200",0.2128997095422 -"Other","Waste Flows/CDD","","221300",0.0347317102385463 -"Other","Waste Flows/CDD","","221100",0.752368580219253 -"Remainder/Composite Metal","Waste Flows/MSW","","221200",0.212899709561764 -"Remainder/Composite Metal","Waste Flows/MSW","","221100",0.752368580201816 -"Remainder/Composite Metal","Waste Flows/MSW","","221300",0.0347317102364207 -"Organics","Waste Flows/MSW","","221300",0.0347317102268485 -"Organics","Waste Flows/MSW","","221200",0.212899709532057 -"Organics","Waste Flows/MSW","","221100",0.752368580241094 -"Remainder/Composite Paper - Compostable","Waste Flows/MSW","","221300",0.0347317102247669 -"Remainder/Composite Paper - Compostable","Waste Flows/MSW","","221200",0.212899709575381 -"Remainder/Composite Paper - Compostable","Waste Flows/MSW","","221100",0.752368580199852 -"Remainder/Composite Paper - Other","Waste Flows/MSW","","221100",0.752368580181532 -"Remainder/Composite Paper - Other","Waste Flows/MSW","","221200",0.212899709589114 -"Remainder/Composite Paper - Other","Waste Flows/MSW","","221300",0.0347317102293542 -"Plastic","Waste Flows/MSW","","221200",0.21289970962566 -"Plastic","Waste Flows/MSW","","221300",0.0347317102358545 -"Plastic","Waste Flows/MSW","","221100",0.752368580138486 -"Fines","Waste Flows/MSW","","221100",0.752368580213215 -"Fines","Waste Flows/MSW","","221200",0.212899709554519 -"Fines","Waste Flows/MSW","","221300",0.0347317102322659 -"Textiles","Waste Flows/MSW","","221200",0.21289970954735 -"Textiles","Waste Flows/MSW","","221300",0.0347317102335842 -"Textiles","Waste Flows/MSW","","221100",0.752368580219065 -"Tin/Steel Cans","Waste Flows/MSW","","221200",0.212899709542798 -"Tin/Steel Cans","Waste Flows/MSW","","221100",0.752368580225801 -"Tin/Steel Cans","Waste Flows/MSW","","221300",0.0347317102314009 -"Tires","Waste Flows/MSW","","221200",0.212899709579604 -"Tires","Waste Flows/MSW","","221100",0.752368580197955 -"Tires","Waste Flows/MSW","","221300",0.0347317102224411 -"Cardboard","Waste Flows/MSW","","221200",0.212899709547421 -"Cardboard","Waste Flows/MSW","","221300",0.0347317102284273 -"Cardboard","Waste Flows/MSW","","221100",0.752368580224152 -"Used Oil","Waste Flows/MSW","","221200",0.212899709551767 -"Used Oil","Waste Flows/MSW","","221300",0.0347317102333282 -"Used Oil","Waste Flows/MSW","","221100",0.752368580214905 -"Used Oil Filters","Waste Flows/MSW","","221300",0.0347317102400359 -"Used Oil Filters","Waste Flows/MSW","","221200",0.212899709585852 -"Used Oil Filters","Waste Flows/MSW","","221100",0.752368580174112 -"Video Display Devices","Waste Flows/MSW","","221100",0.752368580241927 -"Video Display Devices","Waste Flows/MSW","","221200",0.21289970953275 -"Video Display Devices","Waste Flows/MSW","","221300",0.034731710225323 -"White Ledger Paper","Waste Flows/MSW","","221100",0.752368580256075 -"White Ledger Paper","Waste Flows/MSW","","221300",0.0347317102339967 -"White Ledger Paper","Waste Flows/MSW","","221200",0.212899709509928 -"1,2-BENZENEDICARBOXYLIC ACID, DIBUTYL ESTER (OR) DIBUTYL PHTHALATE","Waste Flows/Hazardous Waste","","221100",1 -"1,2-DICHLOROETHANE","Waste Flows/Hazardous Waste","","221300",1 -"1,2,3-PROPANETRIOL, TRINITRATE (R) (OR) NITROGLYCERINE (R)","Waste Flows/Hazardous Waste","","221100",1 -"1,4-DICHLOROBENZENE","Waste Flows/Hazardous Waste","","221200",1 -"2-BUTANONE (I,T) (OR) METHYL ETHYL KETONE (MEK) (I,T)","Waste Flows/Hazardous Waste","","221100",1 -"2-BUTANONE, PEROXIDE (R,T) (OR) METHYL ETHYL KETONE PEROXIDE (R,T)","Waste Flows/Hazardous Waste","","221100",1 -"2-PROPANONE (I) (OR) ACETONE (I)","Waste Flows/Hazardous Waste","","221100",1 -"2-PROPENAMIDE (OR) ACRYLAMIDE","Waste Flows/Hazardous Waste","","221100",1 -"2-PROPENOIC ACID (I) (OR) ACRYLIC ACID (I)","Waste Flows/Hazardous Waste","","221100",1 -"2,4-D (2,4-DICHLOROPHENOXYACETIC ACID)","Waste Flows/Hazardous Waste","","221100",1 -"2,4-D, SALTS & ESTERS (OR) ACETIC ACID, (2,4-DICHLOROPHENOXY)-, SALTS & ESTERS (OR) DICHLOROPHENOXYACETIC ACID 2,4-D","Waste Flows/Hazardous Waste","","221100",1 -"2,4-DINITROPHENOL (OR) PHENOL, 2,4-DINITRO-","Waste Flows/Hazardous Waste","","221100",1 -"ACETIC ACID, LEAD(2+) SALT (OR) LEAD ACETATE","Waste Flows/Hazardous Waste","","221300",1 -"ACIDIC AQUEOUS WST","Waste Flows/Hazardous Waste","","221300",0.0609072835712995 -"ACIDIC AQUEOUS WST","Waste Flows/Hazardous Waste","","221100",0.939092716428701 -"ALPHA,ALPHA-DIMETHYLBENZYLHYDROPEROXIDE (R) (OR) HYDROPEROXIDE, 1-METHYL-1-PHENYLETHYL- (R)","Waste Flows/Hazardous Waste","","221100",1 -"ANILINE (I,T) (OR) BENZENAMINE (I,T)","Waste Flows/Hazardous Waste","","221100",1 -"AQUEOUS W/O CYANIDES","Waste Flows/Hazardous Waste","","221300",0.0144328002486448 -"AQUEOUS W/O CYANIDES","Waste Flows/Hazardous Waste","","221100",0.985567199751355 -"AQUEOUS/CYANIDES","Waste Flows/Hazardous Waste","","221300",0.00170164492342598 -"AQUEOUS/CYANIDES","Waste Flows/Hazardous Waste","","221100",0.998298355076574 -"ARSENIC","Waste Flows/Hazardous Waste","","221300",0.00418967469407883 -"ARSENIC","Waste Flows/Hazardous Waste","","221200",0.197899463272437 -"ARSENIC","Waste Flows/Hazardous Waste","","221100",0.797910862033484 -"ASH","Waste Flows/Hazardous Waste","","221100",0.385142878614237 -"ASH","Waste Flows/Hazardous Waste","","221300",0.614857121385763 -"BARIUM","Waste Flows/Hazardous Waste","","221200",0.240677966101695 -"BARIUM","Waste Flows/Hazardous Waste","","221300",0.0277966101694915 -"BARIUM","Waste Flows/Hazardous Waste","","221100",0.731525423728814 -"BENZENE","Waste Flows/Hazardous Waste","","221100",0.340964259072098 -"BENZENE","Waste Flows/Hazardous Waste","","221200",0.658881330530499 -"BENZENE","Waste Flows/Hazardous Waste","","221300",0.000154410397403398 -"BENZENE (I,T)","Waste Flows/Hazardous Waste","","221200",1 -"BENZENE, 1,3-DIISOCYANATOMETHYL- (R,T) (OR) TOLUENE DIISOCYANATE (R,T)","Waste Flows/Hazardous Waste","","221100",1 -"BENZENE, DIMETHYL- (I,T) (OR) XYLENE (I)","Waste Flows/Hazardous Waste","","221100",1 -"BENZENE, METHYL- (OR) TOLUENE","Waste Flows/Hazardous Waste","","221100",1 -"BENZENEDIAMINE, AR-METHYL- (OR) TOLUENEDIAMINE","Waste Flows/Hazardous Waste","","221200",1 -"CADMIUM","Waste Flows/Hazardous Waste","","221200",0.125432208577037 -"CADMIUM","Waste Flows/Hazardous Waste","","221100",0.848961600215172 -"CADMIUM","Waste Flows/Hazardous Waste","","221300",0.0256061912077912 -"CARBON TETRACHLORIDE","Waste Flows/Hazardous Waste","","221100",1 -"CARBON TETRACHLORIDE (OR) METHANE, TETRACHLORO-","Waste Flows/Hazardous Waste","","221100",1 -"CHLOROFORM","Waste Flows/Hazardous Waste","","221300",1 -"CHLOROFORM (OR) METHANE, TRICHLORO-","Waste Flows/Hazardous Waste","","221300",0.153846153846154 -"CHLOROFORM (OR) METHANE, TRICHLORO-","Waste Flows/Hazardous Waste","","221100",0.846153846153846 -"CHROMIUM","Waste Flows/Hazardous Waste","","221200",0.0174997826009602 -"CHROMIUM","Waste Flows/Hazardous Waste","","221100",0.590126611379664 -"CHROMIUM","Waste Flows/Hazardous Waste","","221300",0.392373606019376 -"COMPRESSED GAS","Waste Flows/Hazardous Waste","","221200",0.477937565766398 -"COMPRESSED GAS","Waste Flows/Hazardous Waste","","221100",0.519326552086987 -"COMPRESSED GAS","Waste Flows/Hazardous Waste","","221300",0.00273588214661522 -"CONT. DEBRIS","Waste Flows/Hazardous Waste","","221200",0.594329424075642 -"CONT. DEBRIS","Waste Flows/Hazardous Waste","","221300",0.0365845154239022 -"CONT. DEBRIS","Waste Flows/Hazardous Waste","","221100",0.369086060500456 -"CONTAMINATED SOIL","Waste Flows/Hazardous Waste","","221200",0.000393776342162883 -"CONTAMINATED SOIL","Waste Flows/Hazardous Waste","","221300",0.87753663066436 -"CONTAMINATED SOIL","Waste Flows/Hazardous Waste","","221100",0.122069592993477 -"CORROSIVE WASTE","Waste Flows/Hazardous Waste","","221200",0.105118030565648 -"CORROSIVE WASTE","Waste Flows/Hazardous Waste","","221300",0.546573487322911 -"CORROSIVE WASTE","Waste Flows/Hazardous Waste","","221100",0.348308482111442 -"CRESOL","Waste Flows/Hazardous Waste","","221200",1 -"CYANIDE","Waste Flows/Hazardous Waste","","221100",1 -"CYANIDES (SOLUBLE CYANIDE SALTS), NOT OTHERWISE SPECIFIED","Waste Flows/Hazardous Waste","","221100",1 -"CYANOGEN BROMIDE (CN)BR","Waste Flows/Hazardous Waste","","221300",1 -"DICHLORODIFLUOROMETHANE (OR) METHANE, DICHLORODIFLUORO-","Waste Flows/Hazardous Waste","","221100",1 -"DILUTE AQUEOUS WST","Waste Flows/Hazardous Waste","","221200",0.00181994343772913 -"DILUTE AQUEOUS WST","Waste Flows/Hazardous Waste","","221100",0.998180056562271 -"DRIED PAINT","Waste Flows/Hazardous Waste","","221200",0.671851368101491 -"DRIED PAINT","Waste Flows/Hazardous Waste","","221100",0.328148631898509 -"ELECTRICAL DEVICES","Waste Flows/Hazardous Waste","","221100",1 -"ETHANE, 1,1,1-TRICHLORO- (OR) METHYL CHLOROFORM","Waste Flows/Hazardous Waste","","221100",1 -"ETHANE, 1,2-DICHLORO- (OR) ETHYLENE DICHLORIDE","Waste Flows/Hazardous Waste","","221100",1 -"EXPLOSIVES, ETC.","Waste Flows/Hazardous Waste","","221200",0.911214953271028 -"EXPLOSIVES, ETC.","Waste Flows/Hazardous Waste","","221100",0.0887850467289719 -"FORMIC ACID (C,T)","Waste Flows/Hazardous Waste","","221100",1 -"HALOGENATED SOLVENT","Waste Flows/Hazardous Waste","","221300",0.00929091719934592 -"HALOGENATED SOLVENT","Waste Flows/Hazardous Waste","","221100",0.904563698528319 -"HALOGENATED SOLVENT","Waste Flows/Hazardous Waste","","221200",0.0861453842723354 -"HYDRAZINE (R,T)","Waste Flows/Hazardous Waste","","221100",1 -"HYDROFLUORIC ACID (C,T) (OR) HYDROGEN FLUORIDE (C,T)","Waste Flows/Hazardous Waste","","221300",1 -"HYDROGEN SULFIDE (OR) HYDROGEN SULFIDE H2S","Waste Flows/Hazardous Waste","","221100",1 -"IGNITABLE WASTE","Waste Flows/Hazardous Waste","","221200",0.112008365739537 -"IGNITABLE WASTE","Waste Flows/Hazardous Waste","","221100",0.802825594462651 -"IGNITABLE WASTE","Waste Flows/Hazardous Waste","","221300",0.0851660397978119 -"LAB PACK","Waste Flows/Hazardous Waste","","221100",1 -"LAB PACKS/ACUTE","Waste Flows/Hazardous Waste","","221100",0.806912991656734 -"LAB PACKS/ACUTE","Waste Flows/Hazardous Waste","","221300",0.193087008343266 -"LAB PACKS/NO ACUTE","Waste Flows/Hazardous Waste","","221200",0.150758894432306 -"LAB PACKS/NO ACUTE","Waste Flows/Hazardous Waste","","221100",0.669505305100102 -"LAB PACKS/NO ACUTE","Waste Flows/Hazardous Waste","","221300",0.179735800467592 -"LEAD","Waste Flows/Hazardous Waste","","221200",0.0948920855335172 -"LEAD","Waste Flows/Hazardous Waste","","221100",0.890913158388566 -"LEAD","Waste Flows/Hazardous Waste","","221300",0.0141947560779172 -"MERCURY","Waste Flows/Hazardous Waste","","221100",0.984049433554063 -"MERCURY","Waste Flows/Hazardous Waste","","221200",0.000590360158264397 -"MERCURY","Waste Flows/Hazardous Waste","","221300",0.0153602062876724 -"METAL BEARING SLUDGE","Waste Flows/Hazardous Waste","","221100",1 -"METAL SALTS/CHEM.","Waste Flows/Hazardous Waste","","221100",1 -"METAL SCALE, ETC.","Waste Flows/Hazardous Waste","","221100",1 -"METHANE, DICHLORO- (OR) METHYLENE CHLORIDE","Waste Flows/Hazardous Waste","","221100",1 -"METHANE, TRICHLOROFLUORO- (OR) TRICHLOROMONOFLUOROMETHANE","Waste Flows/Hazardous Waste","","221100",1 -"METHANOL (I) (OR) METHYL ALCOHOL (I)","Waste Flows/Hazardous Waste","","221100",1 -"METHYL ETHYL KETONE","Waste Flows/Hazardous Waste","","221100",1 -"NAPHTHALENE","Waste Flows/Hazardous Waste","","221200",0.39160218191044 -"NAPHTHALENE","Waste Flows/Hazardous Waste","","221100",0.60839781808956 -"NONHALOGEN. SOLVENT","Waste Flows/Hazardous Waste","","221100",0.928323391722217 -"NONHALOGEN. SOLVENT","Waste Flows/Hazardous Waste","","221200",0.0514313648422982 -"NONHALOGEN. SOLVENT","Waste Flows/Hazardous Waste","","221300",0.0202452434354851 -"OIL-WATER EMULSION","Waste Flows/Hazardous Waste","","221100",0.0887138254187054 -"OIL-WATER EMULSION","Waste Flows/Hazardous Waste","","221300",0.0892992119038422 -"OIL-WATER EMULSION","Waste Flows/Hazardous Waste","","221200",0.821986962677452 -"OILY SLUDGE","Waste Flows/Hazardous Waste","","221300",0.712810770628562 -"OILY SLUDGE","Waste Flows/Hazardous Waste","","221200",0.287189229371438 -"OTH INORGANIC LIQUID","Waste Flows/Hazardous Waste","","221200",0.419418590234943 -"OTH INORGANIC LIQUID","Waste Flows/Hazardous Waste","","221100",0.353447219994932 -"OTH INORGANIC LIQUID","Waste Flows/Hazardous Waste","","221300",0.227134189770126 -"OTH INORGANIC SLUDGE","Waste Flows/Hazardous Waste","","221100",1 -"OTH INORGANIC SOLIDS","Waste Flows/Hazardous Waste","","221100",0.873850197109067 -"OTH INORGANIC SOLIDS","Waste Flows/Hazardous Waste","","221300",0.00171963465874986 -"OTH INORGANIC SOLIDS","Waste Flows/Hazardous Waste","","221200",0.124430168232183 -"OTH ORGANIC LIQUID","Waste Flows/Hazardous Waste","","221100",0.232168658353881 -"OTH ORGANIC LIQUID","Waste Flows/Hazardous Waste","","221200",0.114657269427326 -"OTH ORGANIC LIQUID","Waste Flows/Hazardous Waste","","221300",0.653174072218793 -"OTH ORGANIC SOLIDS","Waste Flows/Hazardous Waste","","221200",0.477197221383268 -"OTH ORGANIC SOLIDS","Waste Flows/Hazardous Waste","","221300",0.0151011778918756 -"OTH ORGANIC SOLIDS","Waste Flows/Hazardous Waste","","221100",0.507701600724856 -"OTHER AQUEOUS WST","Waste Flows/Hazardous Waste","","221200",0.496688609430238 -"OTHER AQUEOUS WST","Waste Flows/Hazardous Waste","","221300",0.00249597121781433 -"OTHER AQUEOUS WST","Waste Flows/Hazardous Waste","","221100",0.500815419351948 -"OTHER ORGANIC SLUDGE","Waste Flows/Hazardous Waste","","221100",0.0547913906835733 -"OTHER ORGANIC SLUDGE","Waste Flows/Hazardous Waste","","221200",0.945208609316427 -"OTHER SLUDGES","Waste Flows/Hazardous Waste","","221200",0.570753001091306 -"OTHER SLUDGES","Waste Flows/Hazardous Waste","","221100",0.429246998908694 -"PAINT THINNER","Waste Flows/Hazardous Waste","","221300",0.0160299645744285 -"PAINT THINNER","Waste Flows/Hazardous Waste","","221200",0.0251192439883047 -"PAINT THINNER","Waste Flows/Hazardous Waste","","221100",0.958850791437267 -"PAINT, INK SLUDGE","Waste Flows/Hazardous Waste","","221300",1 -"PAINT, INK, ETC.","Waste Flows/Hazardous Waste","","221100",0.818077790897941 -"PAINT, INK, ETC.","Waste Flows/Hazardous Waste","","221300",0.0297826082049426 -"PAINT, INK, ETC.","Waste Flows/Hazardous Waste","","221200",0.152139600897116 -"PESTICIDE SOLIDS","Waste Flows/Hazardous Waste","","221100",1 -"PHENOL","Waste Flows/Hazardous Waste","","221200",0.851063829787234 -"PHENOL","Waste Flows/Hazardous Waste","","221300",0.148936170212766 -"POTASSIUM CYANIDE (OR) POTASSIUM CYANIDE K(CN)","Waste Flows/Hazardous Waste","","221300",1 -"PYRIDINE","Waste Flows/Hazardous Waste","","221300",1 -"REACTIVE ORG. LIQUID","Waste Flows/Hazardous Waste","","221200",0.319936012797441 -"REACTIVE ORG. LIQUID","Waste Flows/Hazardous Waste","","221100",0.678664267146571 -"REACTIVE ORG. LIQUID","Waste Flows/Hazardous Waste","","221300",0.0013997200559888 -"REACTIVE WASTE","Waste Flows/Hazardous Waste","","221300",0.000778434965635227 -"REACTIVE WASTE","Waste Flows/Hazardous Waste","","221100",0.999221565034365 -"SELENIUM","Waste Flows/Hazardous Waste","","221300",0.540896785163106 -"SELENIUM","Waste Flows/Hazardous Waste","","221200",0.000316495563336822 -"SELENIUM","Waste Flows/Hazardous Waste","","221100",0.458786719273557 -"SILVER","Waste Flows/Hazardous Waste","","221300",0.072490253411306 -"SILVER","Waste Flows/Hazardous Waste","","221100",0.927509746588694 -"SODIUM AZIDE","Waste Flows/Hazardous Waste","","221300",1 -"SODIUM CYANIDE (OR) SODIUM CYANIDE NA(CN)","Waste Flows/Hazardous Waste","","221300",1 -"SOLVENT MIXTURE","Waste Flows/Hazardous Waste","","221200",0.973978442680729 -"SOLVENT MIXTURE","Waste Flows/Hazardous Waste","","221100",0.0260215573192707 -"SPENT ACID","Waste Flows/Hazardous Waste","","221300",0.985030867383809 -"SPENT ACID","Waste Flows/Hazardous Waste","","221100",0.0149691326161914 -"SPENT CYANIDE PLATING BATH SOLUTIONS FROM ELECTROPLATING OPERATIONS.","Waste Flows/Hazardous Waste","","221100",1 -"SPENT FILTERS","Waste Flows/Hazardous Waste","","221300",0.0353961812510624 -"SPENT FILTERS","Waste Flows/Hazardous Waste","","221200",0.853827129373111 -"SPENT FILTERS","Waste Flows/Hazardous Waste","","221100",0.110776689375827 -"STILL BOTTOMS","Waste Flows/Hazardous Waste","","221300",1 -"TETRACHLOROETHYLENE","Waste Flows/Hazardous Waste","","221300",0.00549833512752085 -"TETRACHLOROETHYLENE","Waste Flows/Hazardous Waste","","221200",0.00194361862698472 -"TETRACHLOROETHYLENE","Waste Flows/Hazardous Waste","","221100",0.992558046245494 -"THE FOLLOWING SPENT HALOGENATED SOLVENTS USED IN DEGREASING: TETRACHLOROETHYLENE, TRICHLORETHYLENE, METHYLENE CHLORIDE, 1,1,1-TRICHLOROETHANE, CARBON TETRACHLORIDE AND CHLORINATED FLUOROCARBONS; ALL SPENT SOLVENT MIXTURES/BLENDS USED IN DEGREASING CONTAIN","Waste Flows/Hazardous Waste","","221300",0.10623070026214 -"THE FOLLOWING SPENT HALOGENATED SOLVENTS USED IN DEGREASING: TETRACHLOROETHYLENE, TRICHLORETHYLENE, METHYLENE CHLORIDE, 1,1,1-TRICHLOROETHANE, CARBON TETRACHLORIDE AND CHLORINATED FLUOROCARBONS; ALL SPENT SOLVENT MIXTURES/BLENDS USED IN DEGREASING CONTAIN","Waste Flows/Hazardous Waste","","221100",0.89376929973786 -"THE FOLLOWING SPENT HALOGENATED SOLVENTS: TETRACHLOROETHYLENE, METHYLENE CHLORIDE, TRICHLOROETHYLENE, 1,1,1-TRICHLOROETHANE, CHLOROBENZENE, 1,1,2-TRICHLORO-1,2,2-TRIFLUOROETHANE, ORTHO-DICHLOROBENZENE, TRICHLOROFLUOROMETHANE, AND 1,1,2, TRICHLOROETHANE; A","Waste Flows/Hazardous Waste","","221300",0.00405100238179835 -"THE FOLLOWING SPENT HALOGENATED SOLVENTS: TETRACHLOROETHYLENE, METHYLENE CHLORIDE, TRICHLOROETHYLENE, 1,1,1-TRICHLOROETHANE, CHLOROBENZENE, 1,1,2-TRICHLORO-1,2,2-TRIFLUOROETHANE, ORTHO-DICHLOROBENZENE, TRICHLOROFLUOROMETHANE, AND 1,1,2, TRICHLOROETHANE; A","Waste Flows/Hazardous Waste","","221200",0.741885695402534 -"THE FOLLOWING SPENT HALOGENATED SOLVENTS: TETRACHLOROETHYLENE, METHYLENE CHLORIDE, TRICHLOROETHYLENE, 1,1,1-TRICHLOROETHANE, CHLOROBENZENE, 1,1,2-TRICHLORO-1,2,2-TRIFLUOROETHANE, ORTHO-DICHLOROBENZENE, TRICHLOROFLUOROMETHANE, AND 1,1,2, TRICHLOROETHANE; A","Waste Flows/Hazardous Waste","","221100",0.254063302215668 -"THE FOLLOWING SPENT NONHALOGENATED SOLVENTS: CRESOLS, CRESYLIC ACID, AND NITROBENZENE; AND THE STILL BOTTOMS FROM THE RECOVERY OF THESE SOLVENTS; ALL SPENT SOLVENT MIXTURES/BLENDS CONTAINING, BEFORE USE, A TOTAL OF TEN PERCENT OR MORE (BY VOLUME) OF ONE O","Waste Flows/Hazardous Waste","","221100",1 -"THE FOLLOWING SPENT NONHALOGENATED SOLVENTS: TOLUENE, METHYL ETHYL KETONE, CARBON DISULFIDE, ISOBUTANOL, PYRIDINE, BENZENE, 2-ETHOXYETHANOL, AND 2-NITROPROPANE; ALL SPENT SOLVENT MIXTURES/BLENDS CONTAINING, BEFORE USE, A TOTAL OF TEN PERCENT OR MORE (BY V","Waste Flows/Hazardous Waste","","221300",0.00504023667607368 -"THE FOLLOWING SPENT NONHALOGENATED SOLVENTS: TOLUENE, METHYL ETHYL KETONE, CARBON DISULFIDE, ISOBUTANOL, PYRIDINE, BENZENE, 2-ETHOXYETHANOL, AND 2-NITROPROPANE; ALL SPENT SOLVENT MIXTURES/BLENDS CONTAINING, BEFORE USE, A TOTAL OF TEN PERCENT OR MORE (BY V","Waste Flows/Hazardous Waste","","221100",0.994959763323926 -"THE FOLLOWING SPENT NONHALOGENATED SOLVENTS: XYLENE, ACETONE, ETHYL ACETATE, ETHYL BENZENE, ETHYL ETHER, METHYL ISOBUTYL KETONE, N-BUTYL ALCOHOL, CYCLOHEXANONE, AND METHANOL; ALL SPENT SOLVENT MIXTURES/BLENDS CONTAINING, BEFORE USE, ONLY THE ABOVE SPENT N","Waste Flows/Hazardous Waste","","221100",0.608334511954014 -"THE FOLLOWING SPENT NONHALOGENATED SOLVENTS: XYLENE, ACETONE, ETHYL ACETATE, ETHYL BENZENE, ETHYL ETHER, METHYL ISOBUTYL KETONE, N-BUTYL ALCOHOL, CYCLOHEXANONE, AND METHANOL; ALL SPENT SOLVENT MIXTURES/BLENDS CONTAINING, BEFORE USE, ONLY THE ABOVE SPENT N","Waste Flows/Hazardous Waste","","221200",0.335545442342479 -"THE FOLLOWING SPENT NONHALOGENATED SOLVENTS: XYLENE, ACETONE, ETHYL ACETATE, ETHYL BENZENE, ETHYL ETHER, METHYL ISOBUTYL KETONE, N-BUTYL ALCOHOL, CYCLOHEXANONE, AND METHANOL; ALL SPENT SOLVENT MIXTURES/BLENDS CONTAINING, BEFORE USE, ONLY THE ABOVE SPENT N","Waste Flows/Hazardous Waste","","221300",0.0561200457035062 -"TRICHLORETHYLENE","Waste Flows/Hazardous Waste","","221100",1 -"VANADIUM OXIDE V2O5 (OR) VANADIUM PENTOXIDE","Waste Flows/Hazardous Waste","","221100",1 -"VINYL CHLORIDE","Waste Flows/Hazardous Waste","","221100",1 -"WASTE OIL","Waste Flows/Hazardous Waste","","221200",0.429970151838564 -"WASTE OIL","Waste Flows/Hazardous Waste","","221300",0.0892240028427213 -"WASTE OIL","Waste Flows/Hazardous Waste","","221100",0.480805845318715 -"Jobs","","","221100",0.589698645245311 -"Jobs","","","221200",0.145652746560184 -"Jobs","","","221300",0.264648608194506 -"Compensation of employees","","","221100",0.780805619266055 -"Compensation of employees","","","221200",0.161983944954128 -"Compensation of employees","","","221300",0.0572104357798165 -"Gross operating surplus","","","221100",0.786933022467147 -"Gross operating surplus","","","221200",0.191248940228911 -"Gross operating surplus","","","221300",0.0218180373039423 -"Taxes on production and imports, less subsidies","","","221100",0.838787426166067 -"Taxes on production and imports, less subsidies","","","221200",0.141574444972503 -"Taxes on production and imports, less subsidies","","","221300",0.0196381288614298 From 0d4b9159384e6abb45fe5bdbbb553e23ec126b4e Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 29 Feb 2024 12:42:48 -0500 Subject: [PATCH 20/39] move disaggregation specs from stateior to useeior see https://github.com/USEPA/useeior/commit/4b8f1194baee07dd69b3af72d0a310f3d5ce656f --- DESCRIPTION | 2 +- .../disaggspecs/UtilityDisaggregation.yml | 2 +- .../UtilityDisaggregationSummary_Make.csv | 46 -- .../UtilityDisaggregationSummary_Use.csv | 397 ------------------ 4 files changed, 2 insertions(+), 445 deletions(-) delete mode 100644 inst/extdata/disaggspecs/UtilityDisaggregationSummary_Make.csv delete mode 100644 inst/extdata/disaggspecs/UtilityDisaggregationSummary_Use.csv diff --git a/DESCRIPTION b/DESCRIPTION index ab4840f..1fd7dcd 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -40,7 +40,7 @@ Imports: Depends: R (>= 3.6) Remotes: - github::USEPA/useeior@v1.4.0 + github::USEPA/useeior@2r_disagg License: file LICENSE Encoding: UTF-8 LazyData: true diff --git a/inst/extdata/disaggspecs/UtilityDisaggregation.yml b/inst/extdata/disaggspecs/UtilityDisaggregation.yml index abf8337..40f2635 100644 --- a/inst/extdata/disaggspecs/UtilityDisaggregation.yml +++ b/inst/extdata/disaggspecs/UtilityDisaggregation.yml @@ -6,4 +6,4 @@ Disaggregation: SectorFile: UtilityDisaggregation_Sectors.csv MakeFile: UtilityDisaggregationSummary_Make.csv # Ratios from 2012 US Make table UseFile: UtilityDisaggregationSummary_Use.csv # Ratios from 2012 US Use table - package: "stateior" + package: "useeior" diff --git a/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Make.csv b/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Make.csv deleted file mode 100644 index 5cd9640..0000000 --- a/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Make.csv +++ /dev/null @@ -1,46 +0,0 @@ -"IndustryCode","CommodityCode","PercentMake","Note" -"221100/US","221100/US",0.781090503048714,"IntersectionDisagg" -"221200/US","221100/US",0.000439612613365103,"IntersectionDisagg" -"221300/US","221100/US",0.00055830801897368,"IntersectionDisagg" -"221100/US","221200/US",0.0170679597139001,"IntersectionDisagg" -"221200/US","221200/US",0.174154734847652,"IntersectionDisagg" -"221300/US","221200/US",0.000153864414677786,"IntersectionDisagg" -"221100/US","221300/US",0.00225521270656298,"IntersectionDisagg" -"221200/US","221300/US",0,"IntersectionDisagg" -"221300/US","221300/US",0.0242798046361546,"IntersectionDisagg" -"486/US","221100/US",0,"CommodityDisagg" -"486/US","221200/US",1,"CommodityDisagg" -"486/US","221300/US",0,"CommodityDisagg" -"GFE/US","221100/US",1,"CommodityDisagg" -"GFE/US","221200/US",0,"CommodityDisagg" -"GFE/US","221300/US",0,"CommodityDisagg" -"GSLG/US","221100/US",0,"CommodityDisagg" -"GSLG/US","221200/US",0,"CommodityDisagg" -"GSLG/US","221300/US",1,"CommodityDisagg" -"GSLE/US","221100/US",0.485727541327864,"CommodityDisagg" -"GSLE/US","221200/US",0.0557712499694772,"CommodityDisagg" -"GSLE/US","221300/US",0.458501208702659,"CommodityDisagg" -"GFGN/US","221100/US",0,"CommodityDisagg" -"GFGN/US","221200/US",0,"CommodityDisagg" -"GFGN/US","221300/US",1,"CommodityDisagg" -"221100/US","211/US",0,"IndustryDisagg" -"221200/US","211/US",1,"IndustryDisagg" -"221300/US","211/US",0,"IndustryDisagg" -"221100/US","23/US",0.86417221937468,"IndustryDisagg" -"221200/US","23/US",0.13070220399795,"IndustryDisagg" -"221300/US","23/US",0.00512557662737058,"IndustryDisagg" -"221100/US","4A0/US",0.722222222222222,"IndustryDisagg" -"221200/US","4A0/US",0.222222222222222,"IndustryDisagg" -"221300/US","4A0/US",0.0555555555555556,"IndustryDisagg" -"221100/US","486/US",0.281609195402299,"IndustryDisagg" -"221200/US","486/US",0.718390804597701,"IndustryDisagg" -"221300/US","486/US",0,"IndustryDisagg" -"221100/US","5412OP/US",0.811023622047244,"IndustryDisagg" -"221200/US","5412OP/US",0.165354330708661,"IndustryDisagg" -"221300/US","5412OP/US",0.0236220472440945,"IndustryDisagg" -"221100/US","5415/US",0.748815165876777,"IndustryDisagg" -"221200/US","5415/US",0.23696682464455,"IndustryDisagg" -"221300/US","5415/US",0.014218009478673,"IndustryDisagg" -"221100/US","GSLE/US",0,"IndustryDisagg" -"221200/US","GSLE/US",0,"IndustryDisagg" -"221300/US","GSLE/US",1,"IndustryDisagg" diff --git a/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Use.csv b/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Use.csv deleted file mode 100644 index b611c79..0000000 --- a/inst/extdata/disaggspecs/UtilityDisaggregationSummary_Use.csv +++ /dev/null @@ -1,397 +0,0 @@ -"IndustryCode","CommodityCode","PercentUsed","Note" -"221100/US","221100/US",0.558191280736159,"IntersectionDisagg" -"221100/US","221200/US",0.0356388595564942,"IntersectionDisagg" -"221100/US","221300/US",0.00365816865288882,"IntersectionDisagg" -"221200/US","221100/US",0.00577010107105144,"IntersectionDisagg" -"221200/US","221200/US",0.000339417710061849,"IntersectionDisagg" -"221200/US","221300/US",0.00109367928797707,"IntersectionDisagg" -"221300/US","221100/US",0.388897269573088,"IntersectionDisagg" -"221300/US","221200/US",0.00241363704932871,"IntersectionDisagg" -"221300/US","221300/US",0.00399758636295067,"IntersectionDisagg" -"221100/US","211/US",0.412882745318653,"IndustryDisagg" -"221200/US","211/US",0.586474322912481,"IndustryDisagg" -"221300/US","211/US",0.000642931768866029,"IndustryDisagg" -"221100/US","212/US",0.985088536812675,"IndustryDisagg" -"221200/US","212/US",9.31966449207829e-05,"IndustryDisagg" -"221300/US","212/US",0.0148182665424045,"IndustryDisagg" -"221100/US","23/US",0.941456126052703,"IndustryDisagg" -"221200/US","23/US",0.0468622656886716,"IndustryDisagg" -"221300/US","23/US",0.0116816082586254,"IndustryDisagg" -"221100/US","315AL/US",1,"IndustryDisagg" -"221200/US","315AL/US",0,"IndustryDisagg" -"221300/US","315AL/US",0,"IndustryDisagg" -"221100/US","322/US",1,"IndustryDisagg" -"221200/US","322/US",0,"IndustryDisagg" -"221300/US","322/US",0,"IndustryDisagg" -"221100/US","323/US",0,"IndustryDisagg" -"221200/US","323/US",1,"IndustryDisagg" -"221300/US","323/US",0,"IndustryDisagg" -"221100/US","324/US",0.989391588745859,"IndustryDisagg" -"221200/US","324/US",0.00109019246089983,"IndustryDisagg" -"221300/US","324/US",0.00951821879324081,"IndustryDisagg" -"221100/US","325/US",0.890488431876607,"IndustryDisagg" -"221200/US","325/US",0.00359897172236504,"IndustryDisagg" -"221300/US","325/US",0.105912596401028,"IndustryDisagg" -"221100/US","326/US",1,"IndustryDisagg" -"221200/US","326/US",0,"IndustryDisagg" -"221300/US","326/US",0,"IndustryDisagg" -"221100/US","327/US",0.849056603773585,"IndustryDisagg" -"221200/US","327/US",0,"IndustryDisagg" -"221300/US","327/US",0.150943396226415,"IndustryDisagg" -"221100/US","331/US",1,"IndustryDisagg" -"221200/US","331/US",0,"IndustryDisagg" -"221300/US","331/US",0,"IndustryDisagg" -"221100/US","332/US",0.290960451977401,"IndustryDisagg" -"221200/US","332/US",0.703389830508475,"IndustryDisagg" -"221300/US","332/US",0.00564971751412429,"IndustryDisagg" -"221100/US","333/US",0.994953742640875,"IndustryDisagg" -"221200/US","333/US",0.00504625735912532,"IndustryDisagg" -"221300/US","333/US",0,"IndustryDisagg" -"221100/US","334/US",0.789473684210526,"IndustryDisagg" -"221200/US","334/US",0.0701754385964912,"IndustryDisagg" -"221300/US","334/US",0.140350877192982,"IndustryDisagg" -"221100/US","335/US",0.866666666666667,"IndustryDisagg" -"221200/US","335/US",0,"IndustryDisagg" -"221300/US","335/US",0.133333333333333,"IndustryDisagg" -"221100/US","3361MV/US",1,"IndustryDisagg" -"221200/US","3361MV/US",0,"IndustryDisagg" -"221300/US","3361MV/US",0,"IndustryDisagg" -"221100/US","42/US",0.784766013939595,"IndustryDisagg" -"221200/US","42/US",0.177729837371391,"IndustryDisagg" -"221300/US","42/US",0.0375041486890143,"IndustryDisagg" -"221100/US","441/US",1,"IndustryDisagg" -"221200/US","441/US",0,"IndustryDisagg" -"221300/US","441/US",0,"IndustryDisagg" -"221100/US","4A0/US",0.997142857142857,"IndustryDisagg" -"221200/US","4A0/US",0.000952380952380952,"IndustryDisagg" -"221300/US","4A0/US",0.0019047619047619,"IndustryDisagg" -"221100/US","445/US",1,"IndustryDisagg" -"221200/US","445/US",0,"IndustryDisagg" -"221300/US","445/US",0,"IndustryDisagg" -"221100/US","452/US",1,"IndustryDisagg" -"221200/US","452/US",0,"IndustryDisagg" -"221300/US","452/US",0,"IndustryDisagg" -"221100/US","481/US",0.768856447688564,"IndustryDisagg" -"221200/US","481/US",0.218978102189781,"IndustryDisagg" -"221300/US","481/US",0.0121654501216545,"IndustryDisagg" -"221100/US","482/US",0.952900232018561,"IndustryDisagg" -"221200/US","482/US",0.0299303944315545,"IndustryDisagg" -"221300/US","482/US",0.017169373549884,"IndustryDisagg" -"221100/US","483/US",0.934472934472934,"IndustryDisagg" -"221200/US","483/US",0.0142450142450142,"IndustryDisagg" -"221300/US","483/US",0.0512820512820513,"IndustryDisagg" -"221100/US","484/US",0.896374622356495,"IndustryDisagg" -"221200/US","484/US",0.00241691842900302,"IndustryDisagg" -"221300/US","484/US",0.101208459214502,"IndustryDisagg" -"221100/US","485/US",0.267195767195767,"IndustryDisagg" -"221200/US","485/US",0.73015873015873,"IndustryDisagg" -"221300/US","485/US",0.00264550264550265,"IndustryDisagg" -"221100/US","486/US",0.42875137773579,"IndustryDisagg" -"221200/US","486/US",0.570303889151315,"IndustryDisagg" -"221300/US","486/US",0.000944733112895607,"IndustryDisagg" -"221100/US","487OS/US",0.885228095582911,"IndustryDisagg" -"221200/US","487OS/US",0.112599565532223,"IndustryDisagg" -"221300/US","487OS/US",0.00217233888486604,"IndustryDisagg" -"221100/US","GFE/US",0.625,"IndustryDisagg" -"221200/US","GFE/US",0.318548387096774,"IndustryDisagg" -"221300/US","GFE/US",0.0564516129032258,"IndustryDisagg" -"221100/US","493/US",0.787003610108303,"IndustryDisagg" -"221200/US","493/US",0.117328519855596,"IndustryDisagg" -"221300/US","493/US",0.0956678700361011,"IndustryDisagg" -"221100/US","511/US",0.393162393162393,"IndustryDisagg" -"221200/US","511/US",0.606837606837607,"IndustryDisagg" -"221300/US","511/US",0,"IndustryDisagg" -"221100/US","513/US",0.859226379201015,"IndustryDisagg" -"221200/US","513/US",0.0792644261255548,"IndustryDisagg" -"221300/US","513/US",0.0615091946734306,"IndustryDisagg" -"221100/US","514/US",0.95013357079252,"IndustryDisagg" -"221200/US","514/US",0.04986642920748,"IndustryDisagg" -"221300/US","514/US",0,"IndustryDisagg" -"221100/US","521CI/US",0.591959658215436,"IndustryDisagg" -"221200/US","521CI/US",0.388009525143578,"IndustryDisagg" -"221300/US","521CI/US",0.0200308166409861,"IndustryDisagg" -"221100/US","523/US",0.655502392344498,"IndustryDisagg" -"221200/US","523/US",0.330143540669856,"IndustryDisagg" -"221300/US","523/US",0.0143540669856459,"IndustryDisagg" -"221100/US","524/US",0.704225352112676,"IndustryDisagg" -"221200/US","524/US",0.123239436619718,"IndustryDisagg" -"221300/US","524/US",0.172535211267606,"IndustryDisagg" -"221100/US","ORE/US",0.647714175950826,"IndustryDisagg" -"221200/US","ORE/US",0.316941990011525,"IndustryDisagg" -"221300/US","ORE/US",0.0353438340376489,"IndustryDisagg" -"221100/US","532RL/US",0.79110251450677,"IndustryDisagg" -"221200/US","532RL/US",0.163442940038685,"IndustryDisagg" -"221300/US","532RL/US",0.0454545454545455,"IndustryDisagg" -"221100/US","5411/US",0.810946358482338,"IndustryDisagg" -"221200/US","5411/US",0.171173135630179,"IndustryDisagg" -"221300/US","5411/US",0.0178805058874836,"IndustryDisagg" -"221100/US","5412OP/US",0.690796277145812,"IndustryDisagg" -"221200/US","5412OP/US",0.234934662028768,"IndustryDisagg" -"221300/US","5412OP/US",0.0742690608254207,"IndustryDisagg" -"221100/US","5415/US",0.519497686715136,"IndustryDisagg" -"221200/US","5415/US",0.434897554527429,"IndustryDisagg" -"221300/US","5415/US",0.0456047587574356,"IndustryDisagg" -"221100/US","55/US",0.842105263157895,"IndustryDisagg" -"221200/US","55/US",0.157894736842105,"IndustryDisagg" -"221300/US","55/US",0,"IndustryDisagg" -"221100/US","561/US",0.856304463809354,"IndustryDisagg" -"221200/US","561/US",0.1364929752801,"IndustryDisagg" -"221300/US","561/US",0.00720256091054597,"IndustryDisagg" -"221100/US","562/US",0.668587896253602,"IndustryDisagg" -"221200/US","562/US",0.239193083573487,"IndustryDisagg" -"221300/US","562/US",0.0922190201729107,"IndustryDisagg" -"221100/US","61/US",0.590717299578059,"IndustryDisagg" -"221200/US","61/US",0.409282700421941,"IndustryDisagg" -"221300/US","61/US",0,"IndustryDisagg" -"221100/US","711AS/US",0.767605633802817,"IndustryDisagg" -"221200/US","711AS/US",0.105633802816901,"IndustryDisagg" -"221300/US","711AS/US",0.126760563380282,"IndustryDisagg" -"221100/US","713/US",0.763157894736842,"IndustryDisagg" -"221200/US","713/US",0.236842105263158,"IndustryDisagg" -"221300/US","713/US",0,"IndustryDisagg" -"221100/US","721/US",0.807737397420867,"IndustryDisagg" -"221200/US","721/US",0.184056271981243,"IndustryDisagg" -"221300/US","721/US",0.0082063305978898,"IndustryDisagg" -"221100/US","722/US",0.873963515754561,"IndustryDisagg" -"221200/US","722/US",0.121614151464898,"IndustryDisagg" -"221300/US","722/US",0.00442233278054174,"IndustryDisagg" -"221100/US","81/US",0.358255451713396,"IndustryDisagg" -"221200/US","81/US",0.389408099688474,"IndustryDisagg" -"221300/US","81/US",0.252336448598131,"IndustryDisagg" -"221100/US","GSLE/US",0.941885187810064,"IndustryDisagg" -"221200/US","GSLE/US",0.00744153082919915,"IndustryDisagg" -"221300/US","GSLE/US",0.0506732813607371,"IndustryDisagg" -"221100/US","Other/US",0.897243107769424,"IndustryDisagg" -"221200/US","Other/US",0.0910609857978279,"IndustryDisagg" -"221300/US","Other/US",0.0116959064327485,"IndustryDisagg" -"221100/US","Used/US",0.815425769059296,"IndustryDisagg" -"221200/US","Used/US",0,"IndustryDisagg" -"221300/US","Used/US",0.184574230940704,"IndustryDisagg" -"221100/US","V001/US",0.780805619266055,"IndustryDisagg" -"221200/US","V001/US",0.161983944954128,"IndustryDisagg" -"221300/US","V001/US",0.0572104357798165,"IndustryDisagg" -"221100/US","V002/US",0.838787426166067,"IndustryDisagg" -"221200/US","V002/US",0.141574444972503,"IndustryDisagg" -"221300/US","V002/US",0.0196381288614298,"IndustryDisagg" -"221100/US","V003/US",0.786933022467147,"IndustryDisagg" -"221200/US","V003/US",0.191248940228911,"IndustryDisagg" -"221300/US","V003/US",0.0218180373039423,"IndustryDisagg" -"111CA/US","221100/US",0.352619589977221,"CommodityDisagg" -"111CA/US","221200/US",0.287243735763098,"CommodityDisagg" -"111CA/US","221300/US",0.360136674259681,"CommodityDisagg" -"113FF/US","221100/US",0.577464788732394,"CommodityDisagg" -"113FF/US","221200/US",0.338028169014085,"CommodityDisagg" -"113FF/US","221300/US",0.0845070422535211,"CommodityDisagg" -"211/US","221100/US",0.545832545832546,"CommodityDisagg" -"211/US","221200/US",0.110754110754111,"CommodityDisagg" -"211/US","221300/US",0.343413343413343,"CommodityDisagg" -"212/US","221100/US",0.894676192671122,"CommodityDisagg" -"212/US","221200/US",0.0988707075362987,"CommodityDisagg" -"212/US","221300/US",0.00645309979257894,"CommodityDisagg" -"213/US","221100/US",0.51980198019802,"CommodityDisagg" -"213/US","221200/US",0.336633663366337,"CommodityDisagg" -"213/US","221300/US",0.143564356435644,"CommodityDisagg" -"23/US","221100/US",0.802140433307231,"CommodityDisagg" -"23/US","221200/US",0.0694335682589402,"CommodityDisagg" -"23/US","221300/US",0.128425998433829,"CommodityDisagg" -"311FT/US","221100/US",0.712621970412339,"CommodityDisagg" -"311FT/US","221200/US",0.22851746931067,"CommodityDisagg" -"311FT/US","221300/US",0.0588605602769909,"CommodityDisagg" -"313TT/US","221100/US",0.832472324723247,"CommodityDisagg" -"313TT/US","221200/US",0.136531365313653,"CommodityDisagg" -"313TT/US","221300/US",0.0309963099630996,"CommodityDisagg" -"315AL/US","221100/US",0.805970149253731,"CommodityDisagg" -"315AL/US","221200/US",0.119402985074627,"CommodityDisagg" -"315AL/US","221300/US",0.0746268656716418,"CommodityDisagg" -"321/US","221100/US",0.881005586592179,"CommodityDisagg" -"321/US","221200/US",0.0988826815642458,"CommodityDisagg" -"321/US","221300/US",0.0201117318435754,"CommodityDisagg" -"322/US","221100/US",0.738459063857166,"CommodityDisagg" -"322/US","221200/US",0.240630529194145,"CommodityDisagg" -"322/US","221300/US",0.0209104069486891,"CommodityDisagg" -"323/US","221100/US",0.923022598870056,"CommodityDisagg" -"323/US","221200/US",0.0529661016949153,"CommodityDisagg" -"323/US","221300/US",0.0240112994350282,"CommodityDisagg" -"324/US","221100/US",0.610388000495847,"CommodityDisagg" -"324/US","221200/US",0.357010040907401,"CommodityDisagg" -"324/US","221300/US",0.0326019585967522,"CommodityDisagg" -"325/US","221100/US",0.633123814041746,"CommodityDisagg" -"325/US","221200/US",0.310661764705882,"CommodityDisagg" -"325/US","221300/US",0.0562144212523719,"CommodityDisagg" -"326/US","221100/US",0.909072539907052,"CommodityDisagg" -"326/US","221200/US",0.0703172358052132,"CommodityDisagg" -"326/US","221300/US",0.0206102242877349,"CommodityDisagg" -"327/US","221100/US",0.712587790383576,"CommodityDisagg" -"327/US","221200/US",0.262020529443544,"CommodityDisagg" -"327/US","221300/US",0.0253916801728795,"CommodityDisagg" -"331/US","221100/US",0.85470719051149,"CommodityDisagg" -"331/US","221200/US",0.127131208302446,"CommodityDisagg" -"331/US","221300/US",0.0181616011860638,"CommodityDisagg" -"332/US","221100/US",0.787292188567524,"CommodityDisagg" -"332/US","221200/US",0.178091550899567,"CommodityDisagg" -"332/US","221300/US",0.0346162605329082,"CommodityDisagg" -"333/US","221100/US",0.811825434068512,"CommodityDisagg" -"333/US","221200/US",0.142186766776161,"CommodityDisagg" -"333/US","221300/US",0.0459877991553261,"CommodityDisagg" -"334/US","221100/US",0.886104783599089,"CommodityDisagg" -"334/US","221200/US",0.067577828397874,"CommodityDisagg" -"334/US","221300/US",0.0463173880030372,"CommodityDisagg" -"335/US","221100/US",0.806889352818372,"CommodityDisagg" -"335/US","221200/US",0.154488517745303,"CommodityDisagg" -"335/US","221300/US",0.0386221294363257,"CommodityDisagg" -"3361MV/US","221100/US",0.781538461538462,"CommodityDisagg" -"3361MV/US","221200/US",0.121923076923077,"CommodityDisagg" -"3361MV/US","221300/US",0.0965384615384615,"CommodityDisagg" -"3364OT/US","221100/US",0.872968980797637,"CommodityDisagg" -"3364OT/US","221200/US",0.0878877400295421,"CommodityDisagg" -"3364OT/US","221300/US",0.0391432791728213,"CommodityDisagg" -"337/US","221100/US",0.800327332242226,"CommodityDisagg" -"337/US","221200/US",0.153846153846154,"CommodityDisagg" -"337/US","221300/US",0.0458265139116203,"CommodityDisagg" -"339/US","221100/US",0.828774062816616,"CommodityDisagg" -"339/US","221200/US",0.115501519756839,"CommodityDisagg" -"339/US","221300/US",0.0557244174265451,"CommodityDisagg" -"42/US","221100/US",0.943946471405126,"CommodityDisagg" -"42/US","221200/US",0.0201363464209065,"CommodityDisagg" -"42/US","221300/US",0.0359171821739679,"CommodityDisagg" -"441/US","221100/US",0.904614191547111,"CommodityDisagg" -"441/US","221200/US",0.0473051570376115,"CommodityDisagg" -"441/US","221300/US",0.0480806514152772,"CommodityDisagg" -"4A0/US","221100/US",0.956473297184877,"CommodityDisagg" -"4A0/US","221200/US",0.0110673698284186,"CommodityDisagg" -"4A0/US","221300/US",0.0324593329867043,"CommodityDisagg" -"445/US","221100/US",0.973806405524467,"CommodityDisagg" -"445/US","221200/US",0.00619121323967139,"CommodityDisagg" -"445/US","221300/US",0.0200023812358614,"CommodityDisagg" -"452/US","221100/US",0.979179424372321,"CommodityDisagg" -"452/US","221200/US",0.00489895897121862,"CommodityDisagg" -"452/US","221300/US",0.0159216166564605,"CommodityDisagg" -"481/US","221100/US",0.57843137254902,"CommodityDisagg" -"481/US","221200/US",0.411764705882353,"CommodityDisagg" -"481/US","221300/US",0.00980392156862745,"CommodityDisagg" -"482/US","221100/US",0.306122448979592,"CommodityDisagg" -"482/US","221200/US",0.561224489795918,"CommodityDisagg" -"482/US","221300/US",0.13265306122449,"CommodityDisagg" -"483/US","221100/US",0.375,"CommodityDisagg" -"483/US","221200/US",0.590909090909091,"CommodityDisagg" -"483/US","221300/US",0.0340909090909091,"CommodityDisagg" -"484/US","221100/US",0.908296943231441,"CommodityDisagg" -"484/US","221200/US",0.0655021834061135,"CommodityDisagg" -"484/US","221300/US",0.0262008733624454,"CommodityDisagg" -"485/US","221100/US",0.694444444444444,"CommodityDisagg" -"485/US","221200/US",0.166666666666667,"CommodityDisagg" -"485/US","221300/US",0.138888888888889,"CommodityDisagg" -"486/US","221100/US",0.481265611990008,"CommodityDisagg" -"486/US","221200/US",0.513738551207327,"CommodityDisagg" -"486/US","221300/US",0.00499583680266445,"CommodityDisagg" -"487OS/US","221100/US",0.728855721393035,"CommodityDisagg" -"487OS/US","221200/US",0.232587064676617,"CommodityDisagg" -"487OS/US","221300/US",0.0385572139303483,"CommodityDisagg" -"GFE/US","221100/US",0.516831683168317,"CommodityDisagg" -"GFE/US","221200/US",0.310891089108911,"CommodityDisagg" -"GFE/US","221300/US",0.172277227722772,"CommodityDisagg" -"493/US","221100/US",0.990376638460262,"CommodityDisagg" -"493/US","221200/US",0.0037332005973121,"CommodityDisagg" -"493/US","221300/US",0.00589016094242575,"CommodityDisagg" -"511/US","221100/US",0.914444444444444,"CommodityDisagg" -"511/US","221200/US",0.0355555555555556,"CommodityDisagg" -"511/US","221300/US",0.05,"CommodityDisagg" -"512/US","221100/US",0.958868894601542,"CommodityDisagg" -"512/US","221200/US",0.0205655526992288,"CommodityDisagg" -"512/US","221300/US",0.0205655526992288,"CommodityDisagg" -"513/US","221100/US",0.771506038945033,"CommodityDisagg" -"513/US","221200/US",0.00566921370470791,"CommodityDisagg" -"513/US","221300/US",0.222824747350259,"CommodityDisagg" -"514/US","221100/US",0.974603174603175,"CommodityDisagg" -"514/US","221200/US",0.0019047619047619,"CommodityDisagg" -"514/US","221300/US",0.0234920634920635,"CommodityDisagg" -"521CI/US","221100/US",0.849512505298855,"CommodityDisagg" -"521CI/US","221200/US",0.112759643916914,"CommodityDisagg" -"521CI/US","221300/US",0.0377278507842306,"CommodityDisagg" -"523/US","221100/US",0.951639344262295,"CommodityDisagg" -"523/US","221200/US",0.0188524590163934,"CommodityDisagg" -"523/US","221300/US",0.0295081967213115,"CommodityDisagg" -"524/US","221100/US",0.833819241982507,"CommodityDisagg" -"524/US","221200/US",0.0845481049562682,"CommodityDisagg" -"524/US","221300/US",0.0816326530612245,"CommodityDisagg" -"525/US","221100/US",0.00492914356130622,"CommodityDisagg" -"525/US","221200/US",0.634011090573013,"CommodityDisagg" -"525/US","221300/US",0.361059765865681,"CommodityDisagg" -"HS/US","221100/US",1,"CommodityDisagg" -"HS/US","221200/US",0,"CommodityDisagg" -"HS/US","221300/US",0,"CommodityDisagg" -"ORE/US","221100/US",0.794424843679044,"CommodityDisagg" -"ORE/US","221200/US",0.201156251091627,"CommodityDisagg" -"ORE/US","221300/US",0.00441890522932896,"CommodityDisagg" -"532RL/US","221100/US",0.432680538555692,"CommodityDisagg" -"532RL/US","221200/US",0.531211750305998,"CommodityDisagg" -"532RL/US","221300/US",0.0361077111383109,"CommodityDisagg" -"5411/US","221100/US",0.934782608695652,"CommodityDisagg" -"5411/US","221200/US",0.00668896321070234,"CommodityDisagg" -"5411/US","221300/US",0.0585284280936455,"CommodityDisagg" -"5412OP/US","221100/US",0.940514075887393,"CommodityDisagg" -"5412OP/US","221200/US",0.0186046511627907,"CommodityDisagg" -"5412OP/US","221300/US",0.0408812729498164,"CommodityDisagg" -"5415/US","221100/US",0.935593220338983,"CommodityDisagg" -"5415/US","221200/US",0.0135593220338983,"CommodityDisagg" -"5415/US","221300/US",0.0508474576271186,"CommodityDisagg" -"55/US","221100/US",0.970925879710507,"CommodityDisagg" -"55/US","221200/US",0.0232093835787372,"CommodityDisagg" -"55/US","221300/US",0.00586473671075618,"CommodityDisagg" -"561/US","221100/US",0.74942316566682,"CommodityDisagg" -"561/US","221200/US",0.0544531610521458,"CommodityDisagg" -"561/US","221300/US",0.196123673281034,"CommodityDisagg" -"562/US","221100/US",0.751012145748988,"CommodityDisagg" -"562/US","221200/US",0.119433198380567,"CommodityDisagg" -"562/US","221300/US",0.129554655870445,"CommodityDisagg" -"61/US","221100/US",0.480550484482516,"CommodityDisagg" -"61/US","221200/US",0.243083836539812,"CommodityDisagg" -"61/US","221300/US",0.276365678977672,"CommodityDisagg" -"621/US","221100/US",0.916407706650093,"CommodityDisagg" -"621/US","221200/US",0.0295214418893723,"CommodityDisagg" -"621/US","221300/US",0.0540708514605345,"CommodityDisagg" -"622/US","221100/US",0.865446478092069,"CommodityDisagg" -"622/US","221200/US",0.070216306156406,"CommodityDisagg" -"622/US","221300/US",0.0643372157515252,"CommodityDisagg" -"623/US","221100/US",0.890833333333333,"CommodityDisagg" -"623/US","221200/US",0.0383333333333333,"CommodityDisagg" -"623/US","221300/US",0.0708333333333333,"CommodityDisagg" -"624/US","221100/US",0.886942675159236,"CommodityDisagg" -"624/US","221200/US",0.0501592356687898,"CommodityDisagg" -"624/US","221300/US",0.0628980891719745,"CommodityDisagg" -"711AS/US","221100/US",0.928251121076233,"CommodityDisagg" -"711AS/US","221200/US",0.0269058295964126,"CommodityDisagg" -"711AS/US","221300/US",0.0448430493273543,"CommodityDisagg" -"713/US","221100/US",0.890376569037657,"CommodityDisagg" -"713/US","221200/US",0.0338912133891213,"CommodityDisagg" -"713/US","221300/US",0.0757322175732218,"CommodityDisagg" -"721/US","221100/US",0.897150799166088,"CommodityDisagg" -"721/US","221200/US",0.0363099374565671,"CommodityDisagg" -"721/US","221300/US",0.0665392633773454,"CommodityDisagg" -"722/US","221100/US",0.92534289276808,"CommodityDisagg" -"722/US","221200/US",0.0270157938487116,"CommodityDisagg" -"722/US","221300/US",0.0476413133832086,"CommodityDisagg" -"81/US","221100/US",0.764238711141366,"CommodityDisagg" -"81/US","221200/US",0.113002042205582,"CommodityDisagg" -"81/US","221300/US",0.122759246653052,"CommodityDisagg" -"GSLG/US","221100/US",0.255670456493173,"CommodityDisagg" -"GSLG/US","221200/US",0.452893789636062,"CommodityDisagg" -"GSLG/US","221300/US",0.291435753870765,"CommodityDisagg" -"GSLE/US","221100/US",0.390254237288136,"CommodityDisagg" -"GSLE/US","221200/US",0.215254237288136,"CommodityDisagg" -"GSLE/US","221300/US",0.394491525423729,"CommodityDisagg" -"GFGD/US","221100/US",0.418676019289785,"CommodityDisagg" -"GFGD/US","221200/US",0.306882946076282,"CommodityDisagg" -"GFGD/US","221300/US",0.274441034633932,"CommodityDisagg" -"GFGN/US","221100/US",0.223946784922395,"CommodityDisagg" -"GFGN/US","221200/US",0.404656319290466,"CommodityDisagg" -"GFGN/US","221300/US",0.37139689578714,"CommodityDisagg" -"F010/US","221100/US",0.673479322749926,"CommodityDisagg" -"F010/US","221200/US",0.182819565002145,"CommodityDisagg" -"F010/US","221300/US",0.143701112247929,"CommodityDisagg" -"F040/US","221100/US",0.691597414589104,"CommodityDisagg" -"F040/US","221200/US",0.12927054478301,"CommodityDisagg" -"F040/US","221300/US",0.179132040627886,"CommodityDisagg" -"F050/US","221100/US",1,"CommodityDisagg" -"F050/US","221200/US",0,"CommodityDisagg" -"F050/US","221300/US",0,"CommodityDisagg" From 58f7483f5af443f994d418b66a8dd6c08799d052 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 29 Feb 2024 12:55:16 -0500 Subject: [PATCH 21/39] fix typos --- R/StateDisaggFunctions.R | 4 ++-- inst/extdata/disaggspecs/UtilityDisaggByProxy.yml | 2 +- inst/extdata/disaggspecs/UtilityStateDummy.yml | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 00dd5d1..7c4ff87 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -48,7 +48,7 @@ disaggregateStateModel <- function(model, state){ for (disagg in model$DisaggregationSpecs){ - logging::loginfo(paste0("Disaggregating ", disagg$OrignalSectorName," for ", state)) + logging::loginfo(paste0("Disaggregating ", disagg$OriginalSectorName," for ", state)) # Formatting model objects according to useeior disaggregation formats model$MakeTransactions <- formatMakeFromStateToUSEEIO(model, state) #Formatting MakeTransactions object @@ -225,7 +225,7 @@ formatFullUseFromUSEEIOtoState <- function(model, state, domestic = FALSE){ tempVA <- cbind(model$UseValueAdded, VAbyFDSection) # combine UseValueAdded and VAbyFDSection columns - # Assemble FullUse table and remane according to stateior formats + # Assemble FullUse table and rename according to stateior formats model$FullUse <- rbind(tempFullUse, tempVA) rownames(model$FullUse) <- gsub("\\/.*","",rownames(model$FullUse)) # remove everything after "/" colnames(model$FullUse) <- gsub("\\/.*","",colnames(model$FullUse)) # remove everything after "/" diff --git a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml index af2de3d..e32b40e 100644 --- a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml +++ b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml @@ -1,7 +1,7 @@ Disaggregation: 22/US: OriginalSectorCode: "22/US" - OrignalSectorName: "Utilities" + OriginalSectorName: "Utilities" DisaggregationType: "Userdefined" SectorFile: UtilityDisaggregation_Sectors.csv # MakeFile: UtilityStateDummy_Make.csv diff --git a/inst/extdata/disaggspecs/UtilityStateDummy.yml b/inst/extdata/disaggspecs/UtilityStateDummy.yml index 7c45b22..b8b9048 100644 --- a/inst/extdata/disaggspecs/UtilityStateDummy.yml +++ b/inst/extdata/disaggspecs/UtilityStateDummy.yml @@ -1,7 +1,7 @@ Disaggregation: 22/US: OriginalSectorCode: "22/US" - OrignalSectorName: "Utilities" + OriginalSectorName: "Utilities" DisaggregationType: "Userdefined" SectorFile: UtilityDisaggregation_Sectors.csv MakeFile: UtilityStateDummy_Make.csv From 13ddd22799ecf01abefa68cdc1e796c301ee5372 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 29 Feb 2024 12:55:38 -0500 Subject: [PATCH 22/39] point back to linkstateiorImportF branch --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 1fd7dcd..0f776b3 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -40,7 +40,7 @@ Imports: Depends: R (>= 3.6) Remotes: - github::USEPA/useeior@2r_disagg + github::USEPA/useeior@linkstateiorImportF License: file LICENSE Encoding: UTF-8 LazyData: true From 1a473350a8fc99c77b6a45534d1d22f154668886 Mon Sep 17 00:00:00 2001 From: jvendries Date: Mon, 4 Mar 2024 23:14:54 -0500 Subject: [PATCH 23/39] add function call to useeior's balanceDisagg function --- R/BuildModel.R | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/R/BuildModel.R b/R/BuildModel.R index 3e634cc..7fbd107 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -798,6 +798,10 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { names(RoUS_ITA) <- getBEASectorCodeLocation("Commodity", "RoUS", iolevel, disagg) TwoRegionIO[["InternationalTradeAdjustment"]][[state]] <- c(SoI_ITA, RoUS_ITA) + # if(!is.null(disagg_specs)){ + # model <- useeior:::balanceDisagg(model, disagg) + # } + print(state) } return(TwoRegionIO) From c46c8d5ec0401230794141e386f8a9d6481d00b8 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 8 Mar 2024 11:53:34 -0500 Subject: [PATCH 24/39] need to update disagg for each individual state? --- R/BuildModel.R | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/R/BuildModel.R b/R/BuildModel.R index 3e634cc..0f549f9 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -653,6 +653,7 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { } model <- disaggregateNationalObjectsInStateModel(model, disagg) + ## ^^ this should always use national level disaggregation data # Assign the disaggregated model objects to the original stateior objects, rename some as national US_Make <- model$MakeTransactions @@ -671,6 +672,10 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { model$CommodityOutput <- State_CommodityOutput_ls[[state]] model$IndustryOutput <- State_IndustryOutput_ls[[state]] + # if(!is.null(disagg$stateDF)) { + # model <- createDisaggFilesFromProxyData(model, disagg, year, state) + # disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] + # } model <- disaggregateStateModel(model, state) # Assign the disaggregated model objects to the stateior lists From bcbb29ceb1eb727e4a5656563056a9795d023dea Mon Sep 17 00:00:00 2001 From: jvendries Date: Thu, 21 Mar 2024 18:19:47 -0400 Subject: [PATCH 25/39] Add if statement to get correct disaggregation percentages for each state --- R/BuildModel.R | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index ec0ca49..fbf1a98 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -672,10 +672,11 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { model$CommodityOutput <- State_CommodityOutput_ls[[state]] model$IndustryOutput <- State_IndustryOutput_ls[[state]] - # if(!is.null(disagg$stateDF)) { - # model <- createDisaggFilesFromProxyData(model, disagg, year, state) - # disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] - # } + if(!is.null(disagg$stateDF)) { + # Get the correct disaggregation percentages for each state + model <- createDisaggFilesFromProxyData(model, disagg, year, state) + disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] + } model <- disaggregateStateModel(model, state) # Assign the disaggregated model objects to the stateior lists From 518f31df86673374f5723114c26e797bcb22ed20 Mon Sep 17 00:00:00 2001 From: jvendries Date: Thu, 21 Mar 2024 18:55:12 -0400 Subject: [PATCH 26/39] Remove unneeded code and comments --- R/BuildModel.R | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index fbf1a98..008f9be 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -704,19 +704,7 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { # Assemble two-region IO tables TwoRegionIO <- list() - #TEMPORARY FOR DEBUGGING -# for (state in c("District of Columbia")){ for (state in sort(c(state.name, "District of Columbia"))) { - - - #LEFT OFF HERE: NEED TO TEST THE FOLLOWING CODE TO MAKE SURE EACH STATE IS DISAGGREGATED PROPERLY: - # Disaggregate STATE model objects - if(!is.null(disagg$stateDF)){ - - model <- createDisaggFilesFromProxyData(model, disagg, year, state) #Function to disagg by proxy - disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg - } - ## Two-region Make model$MakeTransactions <- State_Make_ls[[state]] From feb61857e7e8ada0df29753aa1bc5141e3d8d473 Mon Sep 17 00:00:00 2001 From: jvendries Date: Thu, 21 Mar 2024 19:24:26 -0400 Subject: [PATCH 27/39] Add placeholders for calling createDisaggFilesFromProxyData function from useeior instead of stateior --- R/BuildModel.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/R/BuildModel.R b/R/BuildModel.R index 008f9be..67d335d 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -649,6 +649,7 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { if(!is.null(disagg$stateDF)){ model <- createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy + #model <- useeior:::createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg } @@ -675,6 +676,7 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { if(!is.null(disagg$stateDF)) { # Get the correct disaggregation percentages for each state model <- createDisaggFilesFromProxyData(model, disagg, year, state) + #model <- useeior:::createDisaggFilesFromProxyData(model, disagg, year, state) disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] } model <- disaggregateStateModel(model, state) From 765a729ae820da00e25fd1dc96dfc001d4f07842 Mon Sep 17 00:00:00 2001 From: jvendries Date: Fri, 22 Mar 2024 18:38:50 -0400 Subject: [PATCH 28/39] Remove NAs when checking tolerance for q_SoI and q_RoUS --- R/BuildModel.R | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index 67d335d..1313b87 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -550,7 +550,9 @@ buildTwoRegionUseModel <- function(state, year, ioschema, iolevel, } else { q_SoI_use <- rowSums(SoI2SoI_Use[, c(industries, FD_cols, "ExportResidual")]) + rowSums(SoI2RoUS_Use[, c(industries, FD_cols)]) } - if (max(abs((q_SoI - q_SoI_use)/q_SoI_use)) > 1E-2) { + q_SoI_check <- abs((q_SoI - q_SoI_use)/q_SoI_use) + q_SoI_check[is.na(q_SoI_check)] <- 0 # Convert all N/As to 0 + if (max(q_SoI_check) > 1E-2) { if (domestic) { stop(paste0(state, "'s commodity output summed from two-region Domestic Use table ", "doesn't equal to ", state, "'s commodity output.")) @@ -566,7 +568,9 @@ buildTwoRegionUseModel <- function(state, year, ioschema, iolevel, } else { q_RoUS_use <- rowSums(RoUS2RoUS_Use[, c(industries, FD_cols, "ExportResidual")]) + rowSums(RoUS2SoI_Use[, c(industries, FD_cols)]) } - if (max(abs((q_RoUS - q_RoUS_use)/q_RoUS_use)) > 1E-2) { + q_RoUS_check <- abs((q_RoUS - q_RoUS_use)/q_RoUS_use) + q_RoUS_check[is.na(q_RoUS_check)] <- 0 # Convert all N/As to 0 + if (max(q_RoUS_check) > 1E-2) { if (domestic) { stop(paste0("RoUS (of ", state, ")'s commodity output summed from two-region Domestic Use table ", "doesn't equal to RoUS's commodity output.")) From eb87da84752b0ace6055379fbc6cc25574f735ee Mon Sep 17 00:00:00 2001 From: jvendries Date: Mon, 25 Mar 2024 16:30:49 -0400 Subject: [PATCH 29/39] Add model spec for UtilityDisaggByProxy --- .../modelspecs/StateIOv1.0.0-75_Proxy.yml | 28 +++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml diff --git a/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml b/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml new file mode 100644 index 0000000..d3855ae --- /dev/null +++ b/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml @@ -0,0 +1,28 @@ +Model: "StateIOv1.0.0-75" # 75 represents Summary level disaggregated model (73 + 2 = 75 commodities & 71 + 2 = 73 industries) +BaseIOSchema: 2012 +BaseIOLevel: "Summary" +IOYear: + - 2012 + - 2013 + - 2014 + - 2015 + - 2016 + - 2017 +GeoScale: + - "State" + - "TwoRegion" # SoI and RoUS +IODataSource: "BEA" +BasePriceType: "PRO" +BasewithRedefinitions: FALSE +ScrapIncluded: FALSE +DisaggregationSpecs: "UtilityDisaggByProxy" + +DataProduct: + - "Make" + - "Use" + - "DomesticUse" + - "DomesticUsewithTrade" + - "InternationalTradeAdjustment" + - "CommodityOutput" + - "IndustryOutput" + - "ValueAdded" From 2e58125fa606186b4f140c826aedb4cce994234b Mon Sep 17 00:00:00 2001 From: jvendries Date: Mon, 25 Mar 2024 16:31:41 -0400 Subject: [PATCH 30/39] fix spec name --- inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml b/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml index d3855ae..3b1dd31 100644 --- a/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml +++ b/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml @@ -1,4 +1,4 @@ -Model: "StateIOv1.0.0-75" # 75 represents Summary level disaggregated model (73 + 2 = 75 commodities & 71 + 2 = 73 industries) +Model: "StateIOv1.0.0-75_Proxy" # 75 represents Summary level disaggregated model (73 + 2 = 75 commodities & 71 + 2 = 73 industries) BaseIOSchema: 2012 BaseIOLevel: "Summary" IOYear: From af078a99e8de7b132c3f13a2110f8bb710c1b6ed Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 26 Mar 2024 10:07:26 -0400 Subject: [PATCH 31/39] add employment ratios for additional years --- .../extdata/disaggspecs/Employment_ratios.csv | 936 ++++++++++++++++++ 1 file changed, 936 insertions(+) diff --git a/inst/extdata/disaggspecs/Employment_ratios.csv b/inst/extdata/disaggspecs/Employment_ratios.csv index e022e87..e15a6d6 100644 --- a/inst/extdata/disaggspecs/Employment_ratios.csv +++ b/inst/extdata/disaggspecs/Employment_ratios.csv @@ -1,4 +1,16 @@ State,ActivityProducedBy,Share,Year +US,221100,0.6404913710116216,2012 +US,221200,0.10727150968930062,2012 +US,221300,0.2522371192990778,2012 +US,221100,0.6420260751272352,2013 +US,221200,0.10719023464234716,2013 +US,221300,0.2507836902304176,2013 +US,221100,0.6389537035998339,2014 +US,221200,0.10853628439698014,2014 +US,221300,0.2525100120031859,2014 +US,221100,0.63667485063675,2015 +US,221200,0.10935406914875119,2015 +US,221300,0.2539710802144988,2015 US,221100,0.6354175796809285,2016 US,221200,0.10814819143178722,2016 US,221300,0.2564342288872843,2016 @@ -8,6 +20,624 @@ US,221300,0.2587500452720642,2017 US,221100,0.6370838539604272,2018 US,221200,0.1030946587508028,2018 US,221300,0.25982148728876997,2018 +US,221100,0.6323852959185828,2019 +US,221200,0.10409549347916358,2019 +US,221300,0.26351921060225364,2019 +US,221100,0.6345549827470847,2020 +US,221200,0.10106699586185734,2020 +US,221300,0.26437802139105804,2020 +Alabama,221100,0.699668282725185,2012 +Alabama,221200,0.10142893595304925,2012 +Alabama,221300,0.19890278132176575,2012 +Alaska,221100,1.0,2012 +Alaska,221200,0.0,2012 +Alaska,221300,0.0,2012 +Arizona,221100,0.9927331449333872,2012 +Arizona,221200,0.0,2012 +Arizona,221300,0.0072668550666128385,2012 +Arkansas,221100,0.5314065510597302,2012 +Arkansas,221200,0.12244701348747591,2012 +Arkansas,221300,0.34614643545279383,2012 +California,221100,0.40988151790170235,2012 +California,221200,0.0,2012 +California,221300,0.5901184820982976,2012 +Colorado,221100,0.7833768819211149,2012 +Colorado,221200,0.1272863008585293,2012 +Colorado,221300,0.08933681722035586,2012 +Connecticut,221100,0.5353260869565217,2012 +Connecticut,221200,0.1331521739130435,2012 +Connecticut,221300,0.33152173913043476,2012 +Delaware,221100,1.0,2012 +Delaware,221200,0.0,2012 +Delaware,221300,0.0,2012 +District Of Columbia,221100,,2012 +District Of Columbia,221200,,2012 +District Of Columbia,221300,,2012 +Florida,221100,0.782295311406578,2012 +Florida,221200,0.06018194541637509,2012 +Florida,221300,0.1575227431770469,2012 +Georgia,221100,0.8606474456246839,2012 +Georgia,221200,0.09403136064744562,2012 +Georgia,221300,0.04532119372787051,2012 +Hawaii,221100,1.0,2012 +Hawaii,221200,0.0,2012 +Hawaii,221300,0.0,2012 +Idaho,221100,0.5671897289586305,2012 +Idaho,221200,0.07845934379457917,2012 +Idaho,221300,0.3543509272467903,2012 +Illinois,221100,0.6654611211573237,2012 +Illinois,221200,0.14788426763110307,2012 +Illinois,221300,0.18665461121157323,2012 +Indiana,221100,0.7119979168022915,2012 +Indiana,221200,0.12180196601783738,2012 +Indiana,221300,0.1662001171798711,2012 +Iowa,221100,0.7912936848559167,2012 +Iowa,221200,0.07136725935009197,2012 +Iowa,221300,0.13733905579399142,2012 +Kansas,221100,0.6606669611307421,2012 +Kansas,221200,0.20262809187279152,2012 +Kansas,221300,0.13670494699646643,2012 +Kentucky,221100,0.5605687504964652,2012 +Kentucky,221200,0.07069663992374295,2012 +Kentucky,221300,0.36873460957979187,2012 +Louisiana,221100,0.46764684991831806,2012 +Louisiana,221200,0.12486682292776476,2012 +Louisiana,221300,0.4074863271539172,2012 +Maine,221100,0.5032456440040998,2012 +Maine,221200,0.02801503245644004,2012 +Maine,221300,0.4687393235394602,2012 +Maryland,221100,0.9028843352432747,2012 +Maryland,221200,0.049528989025929886,2012 +Maryland,221300,0.04758667573079538,2012 +Massachusetts,221100,0.5052857483506875,2012 +Massachusetts,221200,0.25570304427311025,2012 +Massachusetts,221300,0.2390112073762022,2012 +Michigan,221100,0.8485677974386548,2012 +Michigan,221200,0.1131097859028253,2012 +Michigan,221300,0.038322416658519896,2012 +Minnesota,221100,0.8330964899815262,2012 +Minnesota,221200,0.11809009521102742,2012 +Minnesota,221300,0.04881341480744635,2012 +Mississippi,221100,0.7169085312225154,2012 +Mississippi,221200,0.07310905892700088,2012 +Mississippi,221300,0.20998240985048372,2012 +Missouri,221100,0.523525971609336,2012 +Missouri,221200,0.14737625604763677,2012 +Missouri,221300,0.3290977723430273,2012 +Montana,221100,0.7898572730033404,2012 +Montana,221200,0.09839052535681748,2012 +Montana,221300,0.11175220163984209,2012 +Nebraska,221100,0.7332264712617358,2012 +Nebraska,221200,0.15846118616899474,2012 +Nebraska,221300,0.10831234256926953,2012 +Nevada,221100,0.6879575864680636,2012 +Nevada,221200,0.0,2012 +Nevada,221300,0.3120424135319364,2012 +New Hampshire,221100,0.7851796407185628,2012 +New Hampshire,221200,0.0748502994011976,2012 +New Hampshire,221300,0.13997005988023953,2012 +New Jersey,221100,0.5142242575631418,2012 +New Jersey,221200,0.27921176797113517,2012 +New Jersey,221300,0.206563974465723,2012 +New Mexico,221100,0.518206829584075,2012 +New Mexico,221200,0.1844958731186276,2012 +New Mexico,221300,0.2972972972972973,2012 +New York,221100,0.7616969504615303,2012 +New York,221200,0.16334735115977678,2012 +New York,221300,0.0749556983786929,2012 +North Carolina,221100,0.744369460931783,2012 +North Carolina,221200,0.1702577445320758,2012 +North Carolina,221300,0.08537279453614115,2012 +North Dakota,221100,0.7047745358090186,2012 +North Dakota,221200,0.22122015915119364,2012 +North Dakota,221300,0.07400530503978779,2012 +Ohio,221100,0.4993043416217759,2012 +Ohio,221200,0.14476829224786844,2012 +Ohio,221300,0.3559273661303557,2012 +Oklahoma,221100,0.43377606752730885,2012 +Oklahoma,221200,0.29636295928500495,2012 +Oklahoma,221300,0.2698609731876862,2012 +Oregon,221100,0.7234502243643012,2012 +Oregon,221200,0.0,2012 +Oregon,221300,0.2765497756356989,2012 +Pennsylvania,221100,0.49813090033580437,2012 +Pennsylvania,221200,0.1353671672052208,2012 +Pennsylvania,221300,0.36650193245897483,2012 +Rhode Island,221100,1.0,2012 +Rhode Island,221200,0.0,2012 +Rhode Island,221300,0.0,2012 +South Carolina,221100,0.7692038086336819,2012 +South Carolina,221200,0.05099596939073544,2012 +South Carolina,221300,0.17980022197558268,2012 +South Dakota,221100,0.7876016260162602,2012 +South Dakota,221200,0.10467479674796748,2012 +South Dakota,221300,0.10772357723577236,2012 +Tennessee,221100,0.7536257361343061,2012 +Tennessee,221200,0.07717324426474466,2012 +Tennessee,221300,0.16920101960094927,2012 +Texas,221100,0.5477777916765696,2012 +Texas,221200,0.09883291845439876,2012 +Texas,221300,0.3533892898690317,2012 +Utah,221100,0.47396889790398916,2012 +Utah,221200,0.1440162271805274,2012 +Utah,221300,0.3820148749154834,2012 +Vermont,221100,0.8854266538830298,2012 +Vermont,221200,0.0,2012 +Vermont,221300,0.11457334611697027,2012 +Virginia,221100,0.4924742093691865,2012 +Virginia,221200,0.07570889001634816,2012 +Virginia,221300,0.4318169006144653,2012 +Washington,221100,0.6375585842805581,2012 +Washington,221200,0.06335182890696547,2012 +Washington,221300,0.29908958681247644,2012 +West Virginia,221100,0.5397422126745435,2012 +West Virginia,221200,0.09922126745435016,2012 +West Virginia,221300,0.36103651987110635,2012 +Wisconsin,221100,0.781085010329788,2012 +Wisconsin,221200,0.05210804193128778,2012 +Wisconsin,221300,0.16680694773892418,2012 +Wyoming,221100,0.8585817888799355,2012 +Wyoming,221200,0.0894439967767929,2012 +Wyoming,221300,0.051974214343271555,2012 +Alabama,221100,0.7012220996350674,2013 +Alabama,221200,0.10201137231604855,2013 +Alabama,221300,0.19676652804888398,2013 +Alaska,221100,1.0,2013 +Alaska,221200,0.0,2013 +Alaska,221300,0.0,2013 +Arizona,221100,0.9926365309879321,2013 +Arizona,221200,0.0,2013 +Arizona,221300,0.0073634690120679075,2013 +Arkansas,221100,0.5391730644713717,2013 +Arkansas,221200,0.12311534548145407,2013 +Arkansas,221300,0.33771159004717416,2013 +California,221100,0.39064786996379325,2013 +California,221200,0.0,2013 +California,221300,0.6093521300362068,2013 +Colorado,221100,0.8013532490744287,2013 +Colorado,221200,0.10608962083492915,2013 +Colorado,221300,0.09255713009064216,2013 +Connecticut,221100,0.5405173470638716,2013 +Connecticut,221200,0.13460831187936742,2013 +Connecticut,221300,0.32487434105676105,2013 +Delaware,221100,1.0,2013 +Delaware,221200,0.0,2013 +Delaware,221300,0.0,2013 +District Of Columbia,221100,,2013 +District Of Columbia,221200,,2013 +District Of Columbia,221300,,2013 +Florida,221100,0.7761050949760341,2013 +Florida,221200,0.05684360021303036,2013 +Florida,221300,0.16705130481093555,2013 +Georgia,221100,0.8565226171243941,2013 +Georgia,221200,0.09627423263327949,2013 +Georgia,221300,0.04720315024232633,2013 +Hawaii,221100,1.0,2013 +Hawaii,221200,0.0,2013 +Hawaii,221300,0.0,2013 +Idaho,221100,0.7425891181988743,2013 +Idaho,221200,0.0,2013 +Idaho,221300,0.2574108818011257,2013 +Illinois,221100,0.6766881147844095,2013 +Illinois,221200,0.1550920789882405,2013 +Illinois,221300,0.16821980622735005,2013 +Indiana,221100,0.7069897726532474,2013 +Indiana,221200,0.11901504787961696,2013 +Indiana,221300,0.1739951794671357,2013 +Iowa,221100,0.7882454624027658,2013 +Iowa,221200,0.07346585998271392,2013 +Iowa,221300,0.13828867761452032,2013 +Kansas,221100,0.6593443730990199,2013 +Kansas,221200,0.19894108369944802,2013 +Kansas,221300,0.14171454320153204,2013 +Kentucky,221100,0.5593505039193729,2013 +Kentucky,221200,0.07070868661014237,2013 +Kentucky,221300,0.36994080947048474,2013 +Louisiana,221100,0.4723404255319149,2013 +Louisiana,221200,0.11872340425531915,2013 +Louisiana,221300,0.40893617021276596,2013 +Maine,221100,0.4902229845626072,2013 +Maine,221200,0.03979416809605489,2013 +Maine,221300,0.4699828473413379,2013 +Maryland,221100,0.9012927147008718,2013 +Maryland,221200,0.04970437919631226,2013 +Maryland,221300,0.049002906102815914,2013 +Massachusetts,221100,0.5336808340016038,2013 +Massachusetts,221200,0.21708099438652767,2013 +Massachusetts,221300,0.24923817161186848,2013 +Michigan,221100,0.8480851895271591,2013 +Michigan,221200,0.11347205939820243,2013 +Michigan,221300,0.03844275107463853,2013 +Minnesota,221100,0.8399500277623543,2013 +Minnesota,221200,0.1103553581343698,2013 +Minnesota,221300,0.049694614103275955,2013 +Mississippi,221100,0.7251056452486727,2013 +Mississippi,221200,0.07118864449019395,2013 +Mississippi,221300,0.20370571026113338,2013 +Missouri,221100,0.5182819734951302,2013 +Missouri,221200,0.15046037575176965,2013 +Missouri,221300,0.3312576507531002,2013 +Montana,221100,0.7834862385321101,2013 +Montana,221200,0.10305810397553516,2013 +Montana,221300,0.11345565749235474,2013 +Nebraska,221100,0.7583965330444203,2013 +Nebraska,221200,0.13001083423618634,2013 +Nebraska,221300,0.11159263271939328,2013 +Nevada,221100,0.672566371681416,2013 +Nevada,221200,0.0,2013 +Nevada,221300,0.3274336283185841,2013 +New Hampshire,221100,0.7671840354767184,2013 +New Hampshire,221200,0.09534368070953436,2013 +New Hampshire,221300,0.13747228381374724,2013 +New Jersey,221100,0.5147460595446585,2013 +New Jersey,221200,0.27782837127845883,2013 +New Jersey,221300,0.20742556917688265,2013 +New Mexico,221100,0.5248477075985893,2013 +New Mexico,221200,0.1829111894838089,2013 +New Mexico,221300,0.2922411029176018,2013 +New York,221100,0.7646516528381404,2013 +New York,221200,0.16075332543131832,2013 +New York,221300,0.07459502173054129,2013 +North Carolina,221100,0.7496595369702795,2013 +North Carolina,221200,0.16646639429624288,2013 +North Carolina,221300,0.08387406873347752,2013 +North Dakota,221100,0.7085166968677193,2013 +North Dakota,221200,0.21485891793942533,2013 +North Dakota,221300,0.07662438519285529,2013 +Ohio,221100,0.4921713227013478,2013 +Ohio,221200,0.14763686562284303,2013 +Ohio,221300,0.3601918116758092,2013 +Oklahoma,221100,0.43314711359404096,2013 +Oklahoma,221200,0.2956548727498448,2013 +Oklahoma,221300,0.27119801365611423,2013 +Oregon,221100,0.6907734717042322,2013 +Oregon,221200,0.0,2013 +Oregon,221300,0.3092265282957678,2013 +Pennsylvania,221100,0.4920473342664461,2013 +Pennsylvania,221200,0.1386944903931798,2013 +Pennsylvania,221300,0.3692581753403741,2013 +Rhode Island,221100,1.0,2013 +Rhode Island,221200,0.0,2013 +Rhode Island,221300,0.0,2013 +South Carolina,221100,0.7697678477919357,2013 +South Carolina,221200,0.05184150811659976,2013 +South Carolina,221300,0.1783906440914645,2013 +South Dakota,221100,0.7897435897435897,2013 +South Dakota,221200,0.09897435897435898,2013 +South Dakota,221300,0.11128205128205128,2013 +Tennessee,221100,0.7502307388036742,2013 +Tennessee,221200,0.07827539225596625,2013 +Tennessee,221300,0.1714938689403595,2013 +Texas,221100,0.542323620397166,2013 +Texas,221200,0.10521654525496457,2013 +Texas,221300,0.3524598343478695,2013 +Utah,221100,0.4969130652427832,2013 +Utah,221200,0.1316535958618388,2013 +Utah,221300,0.37143333889537794,2013 +Vermont,221100,0.884029484029484,2013 +Vermont,221200,0.0,2013 +Vermont,221300,0.11597051597051597,2013 +Virginia,221100,0.48487937478763166,2013 +Virginia,221200,0.07900101936799185,2013 +Virginia,221300,0.4361196058443765,2013 +Washington,221100,0.6384734952028729,2013 +Washington,221200,0.061907059012703006,2013 +Washington,221300,0.29961944578442407,2013 +West Virginia,221100,0.7503384258363953,2013 +West Virginia,221200,0.1434925546315993,2013 +West Virginia,221300,0.10616901953200542,2013 +Wisconsin,221100,0.7756450108797016,2013 +Wisconsin,221200,0.05400994715573516,2013 +Wisconsin,221300,0.17034504196456327,2013 +Wyoming,221100,0.857200160449258,2013 +Wyoming,221200,0.09306056959486562,2013 +Wyoming,221300,0.04973926995587646,2013 +Alabama,221100,0.6985209496611398,2014 +Alabama,221200,0.10165807084097012,2014 +Alabama,221300,0.19982097949789013,2014 +Alaska,221100,0.7283950617283951,2014 +Alaska,221200,0.12867996201329535,2014 +Alaska,221300,0.1429249762583096,2014 +Arizona,221100,0.9926893657347864,2014 +Arizona,221200,0.0,2014 +Arizona,221300,0.007310634265213565,2014 +Arkansas,221100,0.522809963616009,2014 +Arkansas,221200,0.12762384550797648,2014 +Arkansas,221300,0.34956619087601454,2014 +California,221100,0.3699202280330173,2014 +California,221200,0.0,2014 +California,221300,0.6300797719669827,2014 +Colorado,221100,0.8073473399680551,2014 +Colorado,221200,0.10038088217225703,2014 +Colorado,221300,0.09227177785968792,2014 +Connecticut,221100,0.5361080143688839,2014 +Connecticut,221200,0.13786696395392048,2014 +Connecticut,221300,0.3260250216771956,2014 +Delaware,221100,1.0,2014 +Delaware,221200,0.0,2014 +Delaware,221300,0.0,2014 +District Of Columbia,221100,,2014 +District Of Columbia,221200,,2014 +District Of Columbia,221300,,2014 +Florida,221100,0.7694157335630204,2014 +Florida,221200,0.05806775768016078,2014 +Florida,221300,0.17251650875681884,2014 +Georgia,221100,0.8520115671452488,2014 +Georgia,221200,0.09700167419207549,2014 +Georgia,221300,0.050986758662675664,2014 +Hawaii,221100,1.0,2014 +Hawaii,221200,0.0,2014 +Hawaii,221300,0.0,2014 +Idaho,221100,0.7580527086383602,2014 +Idaho,221200,0.0,2014 +Idaho,221300,0.24194729136163984,2014 +Illinois,221100,0.6750119305458684,2014 +Illinois,221200,0.15711611174332807,2014 +Illinois,221300,0.16787195771080357,2014 +Indiana,221100,0.7140645161290322,2014 +Indiana,221200,0.11748387096774193,2014 +Indiana,221300,0.1684516129032258,2014 +Iowa,221100,0.7911681263105957,2014 +Iowa,221200,0.07030960897989393,2014 +Iowa,221300,0.1385222647095103,2014 +Kansas,221100,0.6611061352440663,2014 +Kansas,221200,0.19570085087326466,2014 +Kansas,221300,0.14319301388266906,2014 +Kentucky,221100,0.5611384957862935,2014 +Kentucky,221200,0.07234854507870886,2014 +Kentucky,221300,0.3665129591349976,2014 +Louisiana,221100,0.46368755414380597,2014 +Louisiana,221200,0.11760034652035807,2014 +Louisiana,221300,0.418712099335836,2014 +Maine,221100,0.4639971900245873,2014 +Maine,221200,0.05760449596066034,2014 +Maine,221300,0.47839831401475236,2014 +Maryland,221100,0.8939744492505785,2014 +Maryland,221200,0.05250980786641183,2014 +Maryland,221300,0.05351574288300976,2014 +Massachusetts,221100,0.5605037554055079,2014 +Massachusetts,221200,0.19543281996813594,2014 +Massachusetts,221300,0.2440634246263561,2014 +Michigan,221100,0.8423069553554321,2014 +Michigan,221200,0.1141023184518107,2014 +Michigan,221300,0.04359072619275723,2014 +Minnesota,221100,0.8430672268907563,2014 +Minnesota,221200,0.10938375350140056,2014 +Minnesota,221300,0.047549019607843135,2014 +Mississippi,221100,0.7217816404128191,2014 +Mississippi,221200,0.0712656165127648,2014 +Mississippi,221300,0.20695274307441608,2014 +Missouri,221100,0.5185680650684932,2014 +Missouri,221200,0.14709974315068494,2014 +Missouri,221300,0.3343321917808219,2014 +Montana,221100,0.7480983031012288,2014 +Montana,221200,0.10708016383850205,2014 +Montana,221300,0.14482153306026915,2014 +Nebraska,221100,0.756085626911315,2014 +Nebraska,221200,0.12770642201834861,2014 +Nebraska,221300,0.1162079510703364,2014 +Nevada,221100,0.6702127659574468,2014 +Nevada,221200,0.0,2014 +Nevada,221300,0.32978723404255317,2014 +New Hampshire,221100,0.7530050407134549,2014 +New Hampshire,221200,0.09228383094222567,2014 +New Hampshire,221300,0.1547111283443195,2014 +New Jersey,221100,0.5197109988776656,2014 +New Jersey,221200,0.2820566778900112,2014 +New Jersey,221300,0.19823232323232323,2014 +New Mexico,221100,0.5222704614889854,2014 +New Mexico,221200,0.1847563917028461,2014 +New Mexico,221300,0.2929731468081685,2014 +New York,221100,0.7633574236084696,2014 +New York,221200,0.16563966020032966,2014 +New York,221300,0.07100291619120071,2014 +North Carolina,221100,0.772391606346421,2014 +North Carolina,221200,0.1518607881845434,2014 +North Carolina,221300,0.07574760546903561,2014 +North Dakota,221100,0.9303400462198745,2014 +North Dakota,221200,0.0,2014 +North Dakota,221300,0.06965995378012545,2014 +Ohio,221100,0.5006976993810154,2014 +Ohio,221200,0.14386919031092346,2014 +Ohio,221300,0.35543311030806113,2014 +Oklahoma,221100,0.4299390243902439,2014 +Oklahoma,221200,0.305,2014 +Oklahoma,221300,0.2650609756097561,2014 +Oregon,221100,0.5322806570737297,2014 +Oregon,221200,0.15064306634407232,2014 +Oregon,221300,0.3170762765821979,2014 +Pennsylvania,221100,0.4742340952197255,2014 +Pennsylvania,221200,0.14392258977079114,2014 +Pennsylvania,221300,0.3818433150094834,2014 +Rhode Island,221100,1.0,2014 +Rhode Island,221200,0.0,2014 +Rhode Island,221300,0.0,2014 +South Carolina,221100,0.7686213277816332,2014 +South Carolina,221200,0.05175803839925977,2014 +South Carolina,221300,0.1796206338191071,2014 +South Dakota,221100,0.7874936451448907,2014 +South Dakota,221200,0.10015251652262329,2014 +South Dakota,221300,0.11235383833248602,2014 +Tennessee,221100,0.7399838666308147,2014 +Tennessee,221200,0.08098055032714888,2014 +Tennessee,221300,0.1790355830420364,2014 +Texas,221100,0.5455876097780669,2014 +Texas,221200,0.10341031350864463,2014 +Texas,221300,0.3510020767132885,2014 +Utah,221100,0.49508742714404663,2014 +Utah,221200,0.12722731057452122,2014 +Utah,221300,0.3776852622814321,2014 +Vermont,221100,0.8783578307146478,2014 +Vermont,221200,0.0,2014 +Vermont,221300,0.12164216928535225,2014 +Virginia,221100,0.4815085021606151,2014 +Virginia,221200,0.08288905101296369,2014 +Virginia,221300,0.43560244682642124,2014 +Washington,221100,0.6356733220050977,2014 +Washington,221200,0.061809685641461345,2014 +Washington,221300,0.3025169923534409,2014 +West Virginia,221100,0.7442799461641992,2014 +West Virginia,221200,0.14439530859450106,2014 +West Virginia,221300,0.11132474524129975,2014 +Wisconsin,221100,0.7716566866267465,2014 +Wisconsin,221200,0.053812375249501,2014 +Wisconsin,221300,0.1745309381237525,2014 +Wyoming,221100,0.8520591763294683,2014 +Wyoming,221200,0.0975609756097561,2014 +Wyoming,221300,0.05037984806077569,2014 +Alabama,221100,0.6966287346034181,2015 +Alabama,221200,0.10216084899629203,2015 +Alabama,221300,0.2012104164002898,2015 +Alaska,221100,0.7088014981273408,2015 +Alaska,221200,0.14840823970037453,2015 +Alaska,221300,0.14279026217228463,2015 +Arizona,221100,0.9928438908030744,2015 +Arizona,221200,0.0,2015 +Arizona,221300,0.0071561091969255235,2015 +Arkansas,221100,0.5215497265733617,2015 +Arkansas,221200,0.12586894058763556,2015 +Arkansas,221300,0.35258133283900267,2015 +California,221100,0.36163447951012717,2015 +California,221200,0.0,2015 +California,221300,0.6383655204898728,2015 +Colorado,221100,0.8051457139373247,2015 +Colorado,221200,0.10132910620656017,2015 +Colorado,221300,0.09352517985611511,2015 +Connecticut,221100,0.550213260953858,2015 +Connecticut,221200,0.10895696006203955,2015 +Connecticut,221300,0.3408297789841024,2015 +Delaware,221100,1.0,2015 +Delaware,221200,0.0,2015 +Delaware,221300,0.0,2015 +District Of Columbia,221100,,2015 +District Of Columbia,221200,,2015 +District Of Columbia,221300,,2015 +Florida,221100,0.7707415112302105,2015 +Florida,221200,0.0546525157787102,2015 +Florida,221300,0.1746059729910793,2015 +Georgia,221100,0.8451048951048951,2015 +Georgia,221200,0.0986013986013986,2015 +Georgia,221300,0.056293706293706294,2015 +Hawaii,221100,1.0,2015 +Hawaii,221200,0.0,2015 +Hawaii,221300,0.0,2015 +Idaho,221100,0.7649173256649893,2015 +Idaho,221200,0.0,2015 +Idaho,221300,0.2350826743350108,2015 +Illinois,221100,0.6747615233379451,2015 +Illinois,221200,0.15703051044928276,2015 +Illinois,221300,0.16820796621277215,2015 +Indiana,221100,0.7168385782800079,2015 +Indiana,221200,0.11057092175284147,2015 +Indiana,221300,0.17259049996715065,2015 +Iowa,221100,0.787893580668782,2015 +Iowa,221200,0.07005125701732975,2015 +Iowa,221300,0.1420551623138882,2015 +Kansas,221100,0.6169324221716022,2015 +Kansas,221200,0.22209567198177677,2015 +Kansas,221300,0.1609719058466211,2015 +Kentucky,221100,0.5568099927936584,2015 +Kentucky,221200,0.07334454319801426,2015 +Kentucky,221300,0.36984546400832735,2015 +Louisiana,221100,0.4667838570277595,2015 +Louisiana,221200,0.10818135208379111,2015 +Louisiana,221300,0.4250347908884494,2015 +Maine,221100,0.4726027397260274,2015 +Maine,221200,0.05958904109589041,2015 +Maine,221300,0.4678082191780822,2015 +Maryland,221100,0.8898313745528871,2015 +Maryland,221200,0.055390904445579967,2015 +Maryland,221300,0.054777721001532956,2015 +Massachusetts,221100,0.5412145001154468,2015 +Massachusetts,221200,0.20888170553374893,2015 +Massachusetts,221300,0.2499037943508043,2015 +Michigan,221100,0.8378185621909471,2015 +Michigan,221200,0.11606124001521491,2015 +Michigan,221300,0.04612019779383796,2015 +Minnesota,221100,0.8376996357523115,2015 +Minnesota,221200,0.10941440179321939,2015 +Minnesota,221300,0.05288596245446904,2015 +Mississippi,221100,0.7225045960852168,2015 +Mississippi,221200,0.06942792256948199,2015 +Mississippi,221300,0.20806748134530118,2015 +Missouri,221100,0.5169655320519704,2015 +Missouri,221200,0.14452915279716524,2015 +Missouri,221300,0.3385053151508644,2015 +Montana,221100,0.748541423570595,2015 +Montana,221200,0.11085180863477247,2015 +Montana,221300,0.14060676779463244,2015 +Nebraska,221100,0.7714750813924368,2015 +Nebraska,221200,0.10656148259454044,2015 +Nebraska,221300,0.12196343601302279,2015 +Nevada,221100,0.6731160896130346,2015 +Nevada,221200,0.0,2015 +Nevada,221300,0.3268839103869654,2015 +New Hampshire,221100,0.756368118323747,2015 +New Hampshire,221200,0.08422350041084635,2015 +New Hampshire,221300,0.15940838126540674,2015 +New Jersey,221100,0.5525214554223704,2015 +New Jersey,221200,0.29299950351088727,2015 +New Jersey,221300,0.15447904106674232,2015 +New Mexico,221100,0.5217109526895658,2015 +New Mexico,221200,0.1834089436163318,2015 +New Mexico,221300,0.2948801036941024,2015 +New York,221100,0.7615001675362596,2015 +New York,221200,0.16930735723517304,2015 +New York,221300,0.06919247522856732,2015 +North Carolina,221100,0.7250232805640549,2015 +North Carolina,221200,0.13841958228016496,2015 +North Carolina,221300,0.13655713715578024,2015 +North Dakota,221100,0.9321705426356589,2015 +North Dakota,221200,0.0,2015 +North Dakota,221300,0.06782945736434108,2015 +Ohio,221100,0.47302314284722946,2015 +Ohio,221200,0.1844141424655633,2015 +Ohio,221300,0.3425627146872072,2015 +Oklahoma,221100,0.4292724298782335,2015 +Oklahoma,221200,0.30641546010783305,2015 +Oklahoma,221300,0.2643121100139335,2015 +Oregon,221100,0.5198519085918549,2015 +Oregon,221200,0.15115536831354526,2015 +Oregon,221300,0.32899272309459976,2015 +Pennsylvania,221100,0.508168732153896,2015 +Pennsylvania,221200,0.13682258396867916,2015 +Pennsylvania,221300,0.35500868387742485,2015 +Rhode Island,221100,1.0,2015 +Rhode Island,221200,0.0,2015 +Rhode Island,221300,0.0,2015 +South Carolina,221100,0.7409323116219668,2015 +South Carolina,221200,0.05740740740740741,2015 +South Carolina,221300,0.2016602809706258,2015 +South Dakota,221100,0.7850701402805611,2015 +South Dakota,221200,0.10020040080160321,2015 +South Dakota,221300,0.11472945891783567,2015 +Tennessee,221100,0.7326637753937457,2015 +Tennessee,221200,0.08226432321387811,2015 +Tennessee,221300,0.18507190139237617,2015 +Texas,221100,0.5549419110878921,2015 +Texas,221200,0.094521979252183,2015 +Texas,221300,0.3505361096599249,2015 +Utah,221100,0.46504037107026286,2015 +Utah,221200,0.13142071808967531,2015 +Utah,221300,0.4035389108400618,2015 +Vermont,221100,0.8647125140924464,2015 +Vermont,221200,0.0,2015 +Vermont,221300,0.13528748590755355,2015 +Virginia,221100,0.47935267857142855,2015 +Virginia,221200,0.08649553571428571,2015 +Virginia,221300,0.4341517857142857,2015 +Washington,221100,0.6418434145064152,2015 +Washington,221200,0.05980623199790521,2015 +Washington,221300,0.2983503534956795,2015 +West Virginia,221100,0.7225193107546048,2015 +West Virginia,221200,0.15408991879580114,2015 +West Virginia,221300,0.12339077044959398,2015 +Wisconsin,221100,0.7626437687096266,2015 +Wisconsin,221200,0.06443989286276981,2015 +Wisconsin,221300,0.1729163384276036,2015 +Wyoming,221100,0.8610129564193169,2015 +Wyoming,221200,0.09658421672555949,2015 +Wyoming,221300,0.04240282685512368,2015 Alabama,221100,0.6958398066632142,2016 Alabama,221200,0.09999136889349215,2016 Alabama,221300,0.20416882444329362,2016 @@ -467,3 +1097,309 @@ Wisconsin,221300,0.19747606614447347,2018 Wyoming,221100,0.8308852719333069,2018 Wyoming,221200,0.13298928146089717,2018 Wyoming,221300,0.036125446605795954,2018 +Alabama,221100,0.6727527455145298,2019 +Alabama,221200,0.10570795860261219,2019 +Alabama,221300,0.22153929588285803,2019 +Alaska,221100,0.7215419501133787,2019 +Alaska,221200,0.13424036281179139,2019 +Alaska,221300,0.14421768707482993,2019 +Arizona,221100,0.9928637504955728,2019 +Arizona,221200,0.0,2019 +Arizona,221300,0.007136249504427118,2019 +Arkansas,221100,0.5405255878284924,2019 +Arkansas,221200,0.09414476717381282,2019 +Arkansas,221300,0.36532964499769477,2019 +California,221100,0.36238112291592056,2019 +California,221200,0.0,2019 +California,221300,0.6376188770840794,2019 +Colorado,221100,0.7845249755142018,2019 +Colorado,221200,0.11018609206660138,2019 +Colorado,221300,0.10528893241919686,2019 +Connecticut,221100,0.5402378318584071,2019 +Connecticut,221200,0.10218473451327434,2019 +Connecticut,221300,0.35757743362831856,2019 +Delaware,221100,1.0,2019 +Delaware,221200,0.0,2019 +Delaware,221300,0.0,2019 +District Of Columbia,221100,,2019 +District Of Columbia,221200,,2019 +District Of Columbia,221300,,2019 +Florida,221100,0.7396305332868596,2019 +Florida,221200,0.06378529104217498,2019 +Florida,221300,0.1965841756709655,2019 +Georgia,221100,0.8176795580110497,2019 +Georgia,221200,0.102339030309289,2019 +Georgia,221300,0.07998141167966127,2019 +Hawaii,221100,1.0,2019 +Hawaii,221200,0.0,2019 +Hawaii,221300,0.0,2019 +Idaho,221100,0.7597096188747732,2019 +Idaho,221200,0.0,2019 +Idaho,221300,0.24029038112522685,2019 +Illinois,221100,0.6590065915066815,2019 +Illinois,221200,0.15866440946583582,2019 +Illinois,221300,0.18232899902748262,2019 +Indiana,221100,0.7192532702294091,2019 +Indiana,221200,0.11141786629856044,2019 +Indiana,221300,0.1693288634720305,2019 +Iowa,221100,0.7783043032786885,2019 +Iowa,221200,0.07325819672131148,2019 +Iowa,221300,0.1484375,2019 +Kansas,221100,0.5912261872819963,2019 +Kansas,221200,0.23168768446471694,2019 +Kansas,221300,0.17708612825328682,2019 +Kentucky,221100,0.5480632411067193,2019 +Kentucky,221200,0.07604743083003952,2019 +Kentucky,221300,0.3758893280632411,2019 +Louisiana,221100,0.4758911403638515,2019 +Louisiana,221200,0.0952521816299364,2019 +Louisiana,221300,0.4288566780062121,2019 +Maine,221100,0.48072330262708973,2019 +Maine,221200,0.04435346298191743,2019 +Maine,221300,0.4749232343909928,2019 +Maryland,221100,0.8690367669401398,2019 +Maryland,221200,0.07241973057834498,2019 +Maryland,221300,0.05854350248151524,2019 +Massachusetts,221100,0.5596739900779589,2019 +Massachusetts,221200,0.21346562721474133,2019 +Massachusetts,221300,0.22686038270729977,2019 +Michigan,221100,0.7992614085993142,2019 +Michigan,221200,0.11338257276004572,2019 +Michigan,221300,0.08735601864064012,2019 +Minnesota,221100,0.8351397183513972,2019 +Minnesota,221200,0.10248470102484701,2019 +Minnesota,221300,0.062375580623755804,2019 +Mississippi,221100,0.70881557598702,2019 +Mississippi,221200,0.069118442401298,2019 +Mississippi,221300,0.22206598161168198,2019 +Missouri,221100,0.6398000410874478,2019 +Missouri,221200,0.015613230158186674,2019 +Missouri,221300,0.3445867287543655,2019 +Montana,221100,0.8080082135523614,2019 +Montana,221200,0.12457221081451061,2019 +Montana,221300,0.06741957563312799,2019 +Nebraska,221100,0.890476955195118,2019 +Nebraska,221200,0.10952304480488197,2019 +Nebraska,221300,0.0,2019 +Nevada,221100,0.7064457675381828,2019 +Nevada,221200,0.0,2019 +Nevada,221300,0.2935542324618172,2019 +New Hampshire,221100,0.7089518668466037,2019 +New Hampshire,221200,0.12370670265407108,2019 +New Hampshire,221300,0.16734143049932523,2019 +New Jersey,221100,0.4893223819301848,2019 +New Jersey,221200,0.35523613963039014,2019 +New Jersey,221300,0.15544147843942505,2019 +New Mexico,221100,0.5165981662978185,2019 +New Mexico,221200,0.1879544736010117,2019 +New Mexico,221300,0.2954473601011698,2019 +New York,221100,0.8066682043002485,2019 +New York,221200,0.11468183798467492,2019 +New York,221300,0.07864995771507649,2019 +North Carolina,221100,0.7271416399029953,2019 +North Carolina,221200,0.13475781608442028,2019 +North Carolina,221300,0.1381005440125844,2019 +North Dakota,221100,0.7278059184217542,2019 +North Dakota,221200,0.1682218075179952,2019 +North Dakota,221300,0.1039722740602506,2019 +Ohio,221100,0.4583274523641496,2019 +Ohio,221200,0.19463655610444602,2019 +Ohio,221300,0.34703599153140435,2019 +Oklahoma,221100,0.4596954181436261,2019 +Oklahoma,221200,0.25797558093737694,2019 +Oklahoma,221300,0.282329000918997,2019 +Oregon,221100,0.6886855912821203,2019 +Oregon,221200,0.0,2019 +Oregon,221300,0.31131440871787974,2019 +Pennsylvania,221100,0.4746586646661665,2019 +Pennsylvania,221200,0.14325581395348838,2019 +Pennsylvania,221300,0.3820855213803451,2019 +Rhode Island,221100,1.0,2019 +Rhode Island,221200,0.0,2019 +Rhode Island,221300,0.0,2019 +South Carolina,221100,0.7229600345913892,2019 +South Carolina,221200,0.05843473963802582,2019 +South Carolina,221300,0.21860522577058497,2019 +South Dakota,221100,0.778974358974359,2019 +South Dakota,221200,0.10051282051282051,2019 +South Dakota,221300,0.12051282051282051,2019 +Tennessee,221100,0.7210566512421942,2019 +Tennessee,221200,0.08648187250101083,2019 +Tennessee,221300,0.192461476256795,2019 +Texas,221100,0.5378030707214417,2019 +Texas,221200,0.09845278321180864,2019 +Texas,221300,0.36374414606674965,2019 +Utah,221100,0.4645858343337335,2019 +Utah,221200,0.11593208712056251,2019 +Utah,221300,0.419482078545704,2019 +Vermont,221100,0.8329911019849419,2019 +Vermont,221200,0.0,2019 +Vermont,221300,0.16700889801505817,2019 +Virginia,221100,0.4580943364704572,2019 +Virginia,221200,0.09929275491451801,2019 +Virginia,221300,0.4426129086150248,2019 +Washington,221100,0.6651829112304938,2019 +Washington,221200,0.03658224609874648,2019 +Washington,221300,0.2982348426707598,2019 +West Virginia,221100,0.7412388709982951,2019 +West Virginia,221200,0.13885205531350633,2019 +West Virginia,221300,0.11990907368819852,2019 +Wisconsin,221100,0.7231002768104295,2019 +Wisconsin,221200,0.07250647379230288,2019 +Wisconsin,221300,0.2043932493972676,2019 +Wyoming,221100,0.8266557645134914,2019 +Wyoming,221200,0.1349141455437449,2019 +Wyoming,221300,0.038430089942763694,2019 +Alabama,221100,0.6697235086432207,2020 +Alabama,221200,0.10674492182126645,2020 +Alabama,221300,0.22353156953551287,2020 +Alaska,221100,0.7305180670439704,2020 +Alaska,221200,0.13191118850674793,2020 +Alaska,221300,0.13757074444928166,2020 +Arizona,221100,0.9926660328670379,2020 +Arizona,221200,0.0,2020 +Arizona,221300,0.007333967132962108,2020 +Arkansas,221100,0.543177021198495,2020 +Arkansas,221200,0.0931449022666789,2020 +Arkansas,221300,0.3636780765348261,2020 +California,221100,0.3751733838669975,2020 +California,221200,0.0,2020 +California,221300,0.6248266161330025,2020 +Colorado,221100,0.7732964122321213,2020 +Colorado,221200,0.12123765952323622,2020 +Colorado,221300,0.10546592824464243,2020 +Connecticut,221100,0.5345045678144764,2020 +Connecticut,221200,0.10737877723120169,2020 +Connecticut,221300,0.3581166549543219,2020 +Delaware,221100,1.0,2020 +Delaware,221200,0.0,2020 +Delaware,221300,0.0,2020 +District Of Columbia,221100,1.0,2020 +District Of Columbia,221200,0.0,2020 +District Of Columbia,221300,0.0,2020 +Florida,221100,0.7385718243524034,2020 +Florida,221200,0.06507133952070925,2020 +Florida,221300,0.19635683612688737,2020 +Georgia,221100,0.8168971126474176,2020 +Georgia,221200,0.10059983733224888,2020 +Georgia,221300,0.08250305002033347,2020 +Hawaii,221100,1.0,2020 +Hawaii,221200,0.0,2020 +Hawaii,221300,0.0,2020 +Idaho,221100,0.7602318000724375,2020 +Idaho,221200,0.0,2020 +Idaho,221300,0.2397681999275625,2020 +Illinois,221100,0.6560417592181252,2020 +Illinois,221200,0.15759662372278987,2020 +Illinois,221300,0.18636161705908486,2020 +Indiana,221100,0.7101288894675173,2020 +Indiana,221200,0.11098815258429892,2020 +Indiana,221300,0.17888295794818382,2020 +Iowa,221100,0.786284517733281,2020 +Iowa,221200,0.06412773197225494,2020 +Iowa,221300,0.14958775029446408,2020 +Kansas,221100,0.5899559236009082,2020 +Kansas,221200,0.22505676505943636,2020 +Kansas,221300,0.1849873113396554,2020 +Kentucky,221100,0.5432680783060327,2020 +Kentucky,221200,0.0759089093088294,2020 +Kentucky,221300,0.3808230123851378,2020 +Louisiana,221100,0.490007513148009,2020 +Louisiana,221200,0.10060105184072127,2020 +Louisiana,221300,0.40939143501126973,2020 +Maine,221100,0.4837257617728532,2020 +Maine,221200,0.0453601108033241,2020 +Maine,221300,0.4709141274238227,2020 +Maryland,221100,0.8893366398016119,2020 +Maryland,221200,0.07377557346559206,2020 +Maryland,221300,0.03688778673279603,2020 +Massachusetts,221100,0.5580114398700656,2020 +Massachusetts,221200,0.22088835534213686,2020 +Massachusetts,221300,0.22110020478779746,2020 +Michigan,221100,0.7983275076324057,2020 +Michigan,221200,0.11309234104685634,2020 +Michigan,221300,0.08858015132073802,2020 +Minnesota,221100,0.8380038962985165,2020 +Minnesota,221200,0.10122883260902144,2020 +Minnesota,221300,0.06076727109246216,2020 +Mississippi,221100,0.7118957088538838,2020 +Mississippi,221200,0.06854970124932103,2020 +Mississippi,221300,0.21955458989679522,2020 +Missouri,221100,0.6380474897291275,2020 +Missouri,221200,0.01601559779959613,2020 +Missouri,221300,0.3459369124712764,2020 +Montana,221100,0.8088642659279779,2020 +Montana,221200,0.12465373961218837,2020 +Montana,221300,0.0664819944598338,2020 +Nebraska,221100,0.8869129046967624,2020 +Nebraska,221200,0.10533515731874145,2020 +Nebraska,221300,0.007751937984496124,2020 +Nevada,221100,0.7114728275137832,2020 +Nevada,221200,0.0,2020 +Nevada,221300,0.28852717248621684,2020 +New Hampshire,221100,0.6973506960035922,2020 +New Hampshire,221200,0.1311180960933992,2020 +New Hampshire,221300,0.17153120790300852,2020 +New Jersey,221100,0.4814761320141547,2020 +New Jersey,221200,0.3524229074889868,2020 +New Jersey,221300,0.16610096049685852,2020 +New Mexico,221100,0.5069566608028147,2020 +New Mexico,221200,0.18982888213657445,2020 +New Mexico,221300,0.3032144570606109,2020 +New York,221100,0.8093599449415003,2020 +New York,221200,0.10968366852744003,2020 +New York,221300,0.08095638653105962,2020 +North Carolina,221100,0.7299098392787142,2020 +North Carolina,221200,0.12988370573631255,2020 +North Carolina,221300,0.14020645498497322,2020 +North Dakota,221100,0.7393338838425544,2020 +North Dakota,221200,0.16570327552986513,2020 +North Dakota,221300,0.09496284062758051,2020 +Ohio,221100,0.452992371333405,2020 +Ohio,221200,0.19759320941227032,2020 +Ohio,221300,0.3494144192543247,2020 +Oklahoma,221100,0.507865492856112,2020 +Oklahoma,221200,0.18451435993649878,2020 +Oklahoma,221300,0.3076201472073892,2020 +Oregon,221100,0.687525232135648,2020 +Oregon,221200,0.0,2020 +Oregon,221300,0.312474767864352,2020 +Pennsylvania,221100,0.46654223908453935,2020 +Pennsylvania,221200,0.14796683291007556,2020 +Pennsylvania,221300,0.38549092800538504,2020 +Rhode Island,221100,1.0,2020 +Rhode Island,221200,0.0,2020 +Rhode Island,221300,0.0,2020 +South Carolina,221100,0.7176286072772898,2020 +South Carolina,221200,0.05821831869510665,2020 +South Carolina,221300,0.2241530740276035,2020 +South Dakota,221100,0.7860851505711319,2020 +South Dakota,221200,0.09190031152647975,2020 +South Dakota,221300,0.12201453790238836,2020 +Tennessee,221100,0.721260199456029,2020 +Tennessee,221200,0.08359020852221215,2020 +Tennessee,221300,0.19514959202175883,2020 +Texas,221100,0.536089262411857,2020 +Texas,221200,0.09660118042835422,2020 +Texas,221300,0.3673095571597888,2020 +Utah,221100,0.5736630733460156,2020 +Utah,221200,0.0,2020 +Utah,221300,0.42633692665398437,2020 +Vermont,221100,0.8338008415147266,2020 +Vermont,221200,0.0,2020 +Vermont,221300,0.1661991584852735,2020 +Virginia,221100,0.45522054718034616,2020 +Virginia,221200,0.10429927414852037,2020 +Virginia,221300,0.4404801786711334,2020 +Washington,221100,0.6630072333658237,2020 +Washington,221200,0.03611552865131073,2020 +Washington,221300,0.30087723798286564,2020 +West Virginia,221100,0.720976384203215,2020 +West Virginia,221200,0.15320500099226037,2020 +West Virginia,221300,0.12581861480452472,2020 +Wisconsin,221100,0.719803630974435,2020 +Wisconsin,221200,0.0721563542052612,2020 +Wisconsin,221300,0.20804001482030382,2020 +Wyoming,221100,0.8170230263157895,2020 +Wyoming,221200,0.14268092105263158,2020 +Wyoming,221300,0.04029605263157895,2020 From 1a487a2a4387ae1cb64854e64b1ea13dc67dcfb3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 8 Apr 2024 17:14:36 -0400 Subject: [PATCH 32/39] fix error in handling of useeior data objects resulting from renaming of schema in useeior #280 --- R/UtilityFunctions.R | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/R/UtilityFunctions.R b/R/UtilityFunctions.R index 3636ce5..f4036dd 100644 --- a/R/UtilityFunctions.R +++ b/R/UtilityFunctions.R @@ -8,7 +8,12 @@ startLogging <- function() { #' @param dataset A string specifying name of the data to load #' @return The data loaded from useeior loadDatafromUSEEIOR <- function(dataset) { - utils::data(package = "useeior", list = dataset) + if(!"sch" %in% dataset) { + dataset_srch <- paste0(dataset, "_12sch") + # currently only uses 2012 schema + # required due to renaming in useeior #280 + } + utils::data(package = "useeior", list = dataset_srch) df <- get(dataset) return(df) } From 3e69c4fb573da519b44955a59d63a2719a8c9e13 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 8 Apr 2024 20:39:52 -0400 Subject: [PATCH 33/39] replace `DisaggregatedSectorCodes` with `NewSectorCodes` to align with useeior v1.5 --- R/StateDisaggFunctions.R | 30 ++++++++++++++---------------- 1 file changed, 14 insertions(+), 16 deletions(-) diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index 7c4ff87..fc690d0 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -30,8 +30,6 @@ getStateModelDisaggSpecs <- function(configfile, statefile = NULL){ #' @param disaggConfigpath str, path for statefile #' @return A stateior model object with the state-specific disaggregation specs included in model$specs$STateDisaggSpecs object getStateSpecificDisaggSpecs <- function(disaggConfigpath, statefile){ - - temp <-1 filename <- file.path(dirname(disaggConfigpath), statefile) stateFileDF <- utils::read.table(filename, sep = ",", header = TRUE, stringsAsFactors = FALSE, check.names = FALSE) return(stateFileDF) @@ -285,7 +283,7 @@ calculateStateIndustryCommodityOuput <- function(model){ disaggregateStateSectorLists <- function(code_vector, disagg) { originalSectorCode <- gsub("\\/.*","",disagg$OriginalSectorCode) # remove everything after "/" - disaggCodes <- gsub("\\/.*","",disagg$DisaggregatedSectorCodes) # remove everything after "/" + disaggCodes <- gsub("\\/.*","",disagg$NewSectorCodes) # remove everything after "/" originalIndex <- grep(paste0("^",originalSectorCode,"$"), code_vector) # the ^ and $ are required to find an exact match newList <- append(code_vector[1:originalIndex -1], disaggCodes) @@ -319,26 +317,26 @@ createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggStat # If the state/year combination is not found, assume a uniform split between sectors if(dim(stateDFYear)[1] == 0){ - activity <- unlist(disagg$DisaggregatedSectorCodes) - uniformAllocationVector <- 1/length(disagg$DisaggregatedSectorCodes) - share <- rep(uniformAllocationVector,length(disagg$DisaggregatedSectorCodes)) + activity <- unlist(disagg$NewSectorCodes) + uniformAllocationVector <- 1/length(disagg$NewSectorCodes) + share <- rep(uniformAllocationVector,length(disagg$NewSectorCodes)) - stateDFYear <- data.frame(State = rep(disaggState, length(disagg$DisaggregatedSectorCodes)), + stateDFYear <- data.frame(State = rep(disaggState, length(disagg$NewSectorCodes)), Activity = activity, Share = share, - Year = rep(disaggYear, length(disagg$DisaggregatedSectorCodes))) + Year = rep(disaggYear, length(disagg$NewSectorCodes))) } print(paste0("For ",disaggState,"-",disaggYear, " the allocation to disaggregate ", - disagg$OriginalSectorCode, " into ", disagg$DisaggregatedSectorCodes, " is ", stateDFYear$Share)) + disagg$OriginalSectorCode, " into ", disagg$NewSectorCodes, " is ", stateDFYear$Share)) # Default Make DF based on proxy employment values # Specifying commodity disaggregation (column splits) for Make DF - industries <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) - commodities <- unlist(disagg$DisaggregatedSectorCodes) - PercentMake <- stateDFYear$Share # need to add code to ensure that the order of stateDF$Share is the same as the order of disagg$DisaggregatedSectorCodes - note <- c(rep("CommodityDisagg", length(disagg$DisaggregatedSectorCodes))) + industries <- c(rep(disagg$OriginalSectorCode,length(disagg$NewSectorCodes))) + commodities <- unlist(disagg$NewSectorCodes) + PercentMake <- stateDFYear$Share # need to add code to ensure that the order of stateDF$Share is the same as the order of disagg$NewSectorCodes + note <- c(rep("CommodityDisagg", length(disagg$NewSectorCodes))) makeDF <- data.frame(cbind(data.frame(industries), data.frame(commodities), data.frame(PercentMake), data.frame(note))) #need to rename the columns with the correct column names colnames(makeDF) <- c("IndustryCode","CommodityCode", "PercentMake", "Note") @@ -346,10 +344,10 @@ createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggStat # Default Use DF based on employment ratios # Specifying industry disaggregation (column splits) for Use DF - industries <- unlist(disagg$DisaggregatedSectorCodes) - commodities <- c(rep(disagg$OriginalSectorCode,length(disagg$DisaggregatedSectorCodes))) + industries <- unlist(disagg$NewSectorCodes) + commodities <- c(rep(disagg$OriginalSectorCode,length(disagg$NewSectorCodes))) PercentUse <- stateDFYear$Share - note <- c(rep("IndustryDisagg", length(disagg$DisaggregatedSectorCodes))) + note <- c(rep("IndustryDisagg", length(disagg$NewSectorCodes))) useDF <- data.frame(cbind(data.frame(industries), data.frame(commodities), data.frame(PercentUse), data.frame(note))) #need to rename the columns with the correct column names useDF_2 <- makeDF # so that colnames match From 009318f173d54d6804b0d636ed98a9183a80481b Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 8 Apr 2024 20:58:02 -0400 Subject: [PATCH 34/39] don't add schema for select useeior objects --- R/InteregionalCommodityFlowFunctions.R | 3 ++- R/UtilityFunctions.R | 7 +++++-- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/R/InteregionalCommodityFlowFunctions.R b/R/InteregionalCommodityFlowFunctions.R index 30bda2e..06227f6 100644 --- a/R/InteregionalCommodityFlowFunctions.R +++ b/R/InteregionalCommodityFlowFunctions.R @@ -143,7 +143,8 @@ generateDomestic2RegionICFs <- function(state, year, ioschema, iolevel, # Merge ICF_2r_wide with complete BEA Commodity list CommodityCodeName <- loadDatafromUSEEIOR(paste(iolevel, "CommodityCodeName_2012", - sep = "_")) + sep = "_"), + appendSchema = FALSE) # Update commodities from disaggregation if (!is.null(disagg)){ disagg_df <- data.frame(BEA_2012_Summary_Commodity_Code = c("221100", "221200", "221300"), diff --git a/R/UtilityFunctions.R b/R/UtilityFunctions.R index f4036dd..ec66805 100644 --- a/R/UtilityFunctions.R +++ b/R/UtilityFunctions.R @@ -6,12 +6,15 @@ startLogging <- function() { #' Load data from useeior using flexible dataset name #' @param dataset A string specifying name of the data to load +#' @param appendSchema bool, set to FALSE to ignore schema in name #' @return The data loaded from useeior -loadDatafromUSEEIOR <- function(dataset) { - if(!"sch" %in% dataset) { +loadDatafromUSEEIOR <- function(dataset, appendSchema = TRUE) { + if(appendSchema && !"sch" %in% dataset) { dataset_srch <- paste0(dataset, "_12sch") # currently only uses 2012 schema # required due to renaming in useeior #280 + } else { + dataset_srch <- dataset } utils::data(package = "useeior", list = dataset_srch) df <- get(dataset) From 2350710a418f2494a99be2fda79b1c1a6a7b413f Mon Sep 17 00:00:00 2001 From: jvendries Date: Thu, 25 Apr 2024 17:09:43 -0400 Subject: [PATCH 35/39] change call for createDisaggFilesFromProxyData function to useeior package --- R/BuildModel.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index 1313b87..9685a16 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -652,8 +652,8 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { # Disaggregate national model objects once (i.e. not for each state) if(!is.null(disagg$stateDF)){ - model <- createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy - #model <- useeior:::createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy + #model <- createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy + model <- useeior:::createDisaggFilesFromProxyData(model, disagg, year, "US") #Function to disagg by proxy disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] #update disagg } From b786b922b396f8711074b939b054b2c866df631d Mon Sep 17 00:00:00 2001 From: jvendries Date: Thu, 25 Apr 2024 17:10:07 -0400 Subject: [PATCH 36/39] change package to useeior --- inst/extdata/disaggspecs/UtilityDisaggByProxy.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml index e32b40e..ff6e346 100644 --- a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml +++ b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml @@ -8,4 +8,4 @@ Disaggregation: # UseFile: UtilityStateDummy_Use.csv # EnvFile: UtilityDisaggregationSummary_Env.csv stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg - package: "stateior" + package: "useeior" From bcf707a1104268192ce67ef06e1b320d184e8b20 Mon Sep 17 00:00:00 2001 From: jvendries Date: Fri, 26 Apr 2024 15:05:38 -0400 Subject: [PATCH 37/39] call create disagg files from proxy data function from useeior for state objects --- R/BuildModel.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/BuildModel.R b/R/BuildModel.R index 9685a16..24351c4 100644 --- a/R/BuildModel.R +++ b/R/BuildModel.R @@ -679,8 +679,8 @@ assembleTwoRegionIO <- function(year, iolevel, disagg_specs=NULL) { if(!is.null(disagg$stateDF)) { # Get the correct disaggregation percentages for each state - model <- createDisaggFilesFromProxyData(model, disagg, year, state) - #model <- useeior:::createDisaggFilesFromProxyData(model, disagg, year, state) + #model <- createDisaggFilesFromProxyData(model, disagg, year, state) + model <- useeior:::createDisaggFilesFromProxyData(model, disagg, year, state) disagg <- model$DisaggregationSpecs[[disagg$OriginalSectorCode]] } model <- disaggregateStateModel(model, state) From 8b16e9bc5a64f58d29964f72d8e0bb78869e0798 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sat, 26 Oct 2024 14:11:09 -0400 Subject: [PATCH 38/39] temporarily drop new disaggregation approach with employment data --- R/StateDisaggFunctions.R | 2 + .../extdata/disaggspecs/Employment_ratios.csv | 1405 ----------------- .../disaggspecs/UtilityDisaggByProxy.yml | 11 - .../disaggspecs/UtilityStateDummy_Make.csv | 4 - .../disaggspecs/UtilityStateDummy_Use.csv | 7 - .../modelspecs/StateIOv1.0.0-75_Proxy.yml | 28 - 6 files changed, 2 insertions(+), 1455 deletions(-) delete mode 100644 inst/extdata/disaggspecs/Employment_ratios.csv delete mode 100644 inst/extdata/disaggspecs/UtilityDisaggByProxy.yml delete mode 100644 inst/extdata/disaggspecs/UtilityStateDummy_Make.csv delete mode 100644 inst/extdata/disaggspecs/UtilityStateDummy_Use.csv delete mode 100644 inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml diff --git a/R/StateDisaggFunctions.R b/R/StateDisaggFunctions.R index fc690d0..57a85c5 100644 --- a/R/StateDisaggFunctions.R +++ b/R/StateDisaggFunctions.R @@ -309,6 +309,8 @@ createDisaggFilesFromProxyData <- function(model, disagg, disaggYear, disaggStat # in the Use table, the three Detail utility commodities (rows) will have that same split for across all columns (industries/final demand) # 2) The disagg parameter will contain a disagg$stateDF variable that includes the data for the relevant disaggState and disaggYear parameters. + stop("The function is not yet valid") + temp <-1 #Get subset of ratios for current year diff --git a/inst/extdata/disaggspecs/Employment_ratios.csv b/inst/extdata/disaggspecs/Employment_ratios.csv deleted file mode 100644 index e15a6d6..0000000 --- a/inst/extdata/disaggspecs/Employment_ratios.csv +++ /dev/null @@ -1,1405 +0,0 @@ -State,ActivityProducedBy,Share,Year -US,221100,0.6404913710116216,2012 -US,221200,0.10727150968930062,2012 -US,221300,0.2522371192990778,2012 -US,221100,0.6420260751272352,2013 -US,221200,0.10719023464234716,2013 -US,221300,0.2507836902304176,2013 -US,221100,0.6389537035998339,2014 -US,221200,0.10853628439698014,2014 -US,221300,0.2525100120031859,2014 -US,221100,0.63667485063675,2015 -US,221200,0.10935406914875119,2015 -US,221300,0.2539710802144988,2015 -US,221100,0.6354175796809285,2016 -US,221200,0.10814819143178722,2016 -US,221300,0.2564342288872843,2016 -US,221100,0.6343800234578942,2017 -US,221200,0.10686993127004159,2017 -US,221300,0.2587500452720642,2017 -US,221100,0.6370838539604272,2018 -US,221200,0.1030946587508028,2018 -US,221300,0.25982148728876997,2018 -US,221100,0.6323852959185828,2019 -US,221200,0.10409549347916358,2019 -US,221300,0.26351921060225364,2019 -US,221100,0.6345549827470847,2020 -US,221200,0.10106699586185734,2020 -US,221300,0.26437802139105804,2020 -Alabama,221100,0.699668282725185,2012 -Alabama,221200,0.10142893595304925,2012 -Alabama,221300,0.19890278132176575,2012 -Alaska,221100,1.0,2012 -Alaska,221200,0.0,2012 -Alaska,221300,0.0,2012 -Arizona,221100,0.9927331449333872,2012 -Arizona,221200,0.0,2012 -Arizona,221300,0.0072668550666128385,2012 -Arkansas,221100,0.5314065510597302,2012 -Arkansas,221200,0.12244701348747591,2012 -Arkansas,221300,0.34614643545279383,2012 -California,221100,0.40988151790170235,2012 -California,221200,0.0,2012 -California,221300,0.5901184820982976,2012 -Colorado,221100,0.7833768819211149,2012 -Colorado,221200,0.1272863008585293,2012 -Colorado,221300,0.08933681722035586,2012 -Connecticut,221100,0.5353260869565217,2012 -Connecticut,221200,0.1331521739130435,2012 -Connecticut,221300,0.33152173913043476,2012 -Delaware,221100,1.0,2012 -Delaware,221200,0.0,2012 -Delaware,221300,0.0,2012 -District Of Columbia,221100,,2012 -District Of Columbia,221200,,2012 -District Of Columbia,221300,,2012 -Florida,221100,0.782295311406578,2012 -Florida,221200,0.06018194541637509,2012 -Florida,221300,0.1575227431770469,2012 -Georgia,221100,0.8606474456246839,2012 -Georgia,221200,0.09403136064744562,2012 -Georgia,221300,0.04532119372787051,2012 -Hawaii,221100,1.0,2012 -Hawaii,221200,0.0,2012 -Hawaii,221300,0.0,2012 -Idaho,221100,0.5671897289586305,2012 -Idaho,221200,0.07845934379457917,2012 -Idaho,221300,0.3543509272467903,2012 -Illinois,221100,0.6654611211573237,2012 -Illinois,221200,0.14788426763110307,2012 -Illinois,221300,0.18665461121157323,2012 -Indiana,221100,0.7119979168022915,2012 -Indiana,221200,0.12180196601783738,2012 -Indiana,221300,0.1662001171798711,2012 -Iowa,221100,0.7912936848559167,2012 -Iowa,221200,0.07136725935009197,2012 -Iowa,221300,0.13733905579399142,2012 -Kansas,221100,0.6606669611307421,2012 -Kansas,221200,0.20262809187279152,2012 -Kansas,221300,0.13670494699646643,2012 -Kentucky,221100,0.5605687504964652,2012 -Kentucky,221200,0.07069663992374295,2012 -Kentucky,221300,0.36873460957979187,2012 -Louisiana,221100,0.46764684991831806,2012 -Louisiana,221200,0.12486682292776476,2012 -Louisiana,221300,0.4074863271539172,2012 -Maine,221100,0.5032456440040998,2012 -Maine,221200,0.02801503245644004,2012 -Maine,221300,0.4687393235394602,2012 -Maryland,221100,0.9028843352432747,2012 -Maryland,221200,0.049528989025929886,2012 -Maryland,221300,0.04758667573079538,2012 -Massachusetts,221100,0.5052857483506875,2012 -Massachusetts,221200,0.25570304427311025,2012 -Massachusetts,221300,0.2390112073762022,2012 -Michigan,221100,0.8485677974386548,2012 -Michigan,221200,0.1131097859028253,2012 -Michigan,221300,0.038322416658519896,2012 -Minnesota,221100,0.8330964899815262,2012 -Minnesota,221200,0.11809009521102742,2012 -Minnesota,221300,0.04881341480744635,2012 -Mississippi,221100,0.7169085312225154,2012 -Mississippi,221200,0.07310905892700088,2012 -Mississippi,221300,0.20998240985048372,2012 -Missouri,221100,0.523525971609336,2012 -Missouri,221200,0.14737625604763677,2012 -Missouri,221300,0.3290977723430273,2012 -Montana,221100,0.7898572730033404,2012 -Montana,221200,0.09839052535681748,2012 -Montana,221300,0.11175220163984209,2012 -Nebraska,221100,0.7332264712617358,2012 -Nebraska,221200,0.15846118616899474,2012 -Nebraska,221300,0.10831234256926953,2012 -Nevada,221100,0.6879575864680636,2012 -Nevada,221200,0.0,2012 -Nevada,221300,0.3120424135319364,2012 -New Hampshire,221100,0.7851796407185628,2012 -New Hampshire,221200,0.0748502994011976,2012 -New Hampshire,221300,0.13997005988023953,2012 -New Jersey,221100,0.5142242575631418,2012 -New Jersey,221200,0.27921176797113517,2012 -New Jersey,221300,0.206563974465723,2012 -New Mexico,221100,0.518206829584075,2012 -New Mexico,221200,0.1844958731186276,2012 -New Mexico,221300,0.2972972972972973,2012 -New York,221100,0.7616969504615303,2012 -New York,221200,0.16334735115977678,2012 -New York,221300,0.0749556983786929,2012 -North Carolina,221100,0.744369460931783,2012 -North Carolina,221200,0.1702577445320758,2012 -North Carolina,221300,0.08537279453614115,2012 -North Dakota,221100,0.7047745358090186,2012 -North Dakota,221200,0.22122015915119364,2012 -North Dakota,221300,0.07400530503978779,2012 -Ohio,221100,0.4993043416217759,2012 -Ohio,221200,0.14476829224786844,2012 -Ohio,221300,0.3559273661303557,2012 -Oklahoma,221100,0.43377606752730885,2012 -Oklahoma,221200,0.29636295928500495,2012 -Oklahoma,221300,0.2698609731876862,2012 -Oregon,221100,0.7234502243643012,2012 -Oregon,221200,0.0,2012 -Oregon,221300,0.2765497756356989,2012 -Pennsylvania,221100,0.49813090033580437,2012 -Pennsylvania,221200,0.1353671672052208,2012 -Pennsylvania,221300,0.36650193245897483,2012 -Rhode Island,221100,1.0,2012 -Rhode Island,221200,0.0,2012 -Rhode Island,221300,0.0,2012 -South Carolina,221100,0.7692038086336819,2012 -South Carolina,221200,0.05099596939073544,2012 -South Carolina,221300,0.17980022197558268,2012 -South Dakota,221100,0.7876016260162602,2012 -South Dakota,221200,0.10467479674796748,2012 -South Dakota,221300,0.10772357723577236,2012 -Tennessee,221100,0.7536257361343061,2012 -Tennessee,221200,0.07717324426474466,2012 -Tennessee,221300,0.16920101960094927,2012 -Texas,221100,0.5477777916765696,2012 -Texas,221200,0.09883291845439876,2012 -Texas,221300,0.3533892898690317,2012 -Utah,221100,0.47396889790398916,2012 -Utah,221200,0.1440162271805274,2012 -Utah,221300,0.3820148749154834,2012 -Vermont,221100,0.8854266538830298,2012 -Vermont,221200,0.0,2012 -Vermont,221300,0.11457334611697027,2012 -Virginia,221100,0.4924742093691865,2012 -Virginia,221200,0.07570889001634816,2012 -Virginia,221300,0.4318169006144653,2012 -Washington,221100,0.6375585842805581,2012 -Washington,221200,0.06335182890696547,2012 -Washington,221300,0.29908958681247644,2012 -West Virginia,221100,0.5397422126745435,2012 -West Virginia,221200,0.09922126745435016,2012 -West Virginia,221300,0.36103651987110635,2012 -Wisconsin,221100,0.781085010329788,2012 -Wisconsin,221200,0.05210804193128778,2012 -Wisconsin,221300,0.16680694773892418,2012 -Wyoming,221100,0.8585817888799355,2012 -Wyoming,221200,0.0894439967767929,2012 -Wyoming,221300,0.051974214343271555,2012 -Alabama,221100,0.7012220996350674,2013 -Alabama,221200,0.10201137231604855,2013 -Alabama,221300,0.19676652804888398,2013 -Alaska,221100,1.0,2013 -Alaska,221200,0.0,2013 -Alaska,221300,0.0,2013 -Arizona,221100,0.9926365309879321,2013 -Arizona,221200,0.0,2013 -Arizona,221300,0.0073634690120679075,2013 -Arkansas,221100,0.5391730644713717,2013 -Arkansas,221200,0.12311534548145407,2013 -Arkansas,221300,0.33771159004717416,2013 -California,221100,0.39064786996379325,2013 -California,221200,0.0,2013 -California,221300,0.6093521300362068,2013 -Colorado,221100,0.8013532490744287,2013 -Colorado,221200,0.10608962083492915,2013 -Colorado,221300,0.09255713009064216,2013 -Connecticut,221100,0.5405173470638716,2013 -Connecticut,221200,0.13460831187936742,2013 -Connecticut,221300,0.32487434105676105,2013 -Delaware,221100,1.0,2013 -Delaware,221200,0.0,2013 -Delaware,221300,0.0,2013 -District Of Columbia,221100,,2013 -District Of Columbia,221200,,2013 -District Of Columbia,221300,,2013 -Florida,221100,0.7761050949760341,2013 -Florida,221200,0.05684360021303036,2013 -Florida,221300,0.16705130481093555,2013 -Georgia,221100,0.8565226171243941,2013 -Georgia,221200,0.09627423263327949,2013 -Georgia,221300,0.04720315024232633,2013 -Hawaii,221100,1.0,2013 -Hawaii,221200,0.0,2013 -Hawaii,221300,0.0,2013 -Idaho,221100,0.7425891181988743,2013 -Idaho,221200,0.0,2013 -Idaho,221300,0.2574108818011257,2013 -Illinois,221100,0.6766881147844095,2013 -Illinois,221200,0.1550920789882405,2013 -Illinois,221300,0.16821980622735005,2013 -Indiana,221100,0.7069897726532474,2013 -Indiana,221200,0.11901504787961696,2013 -Indiana,221300,0.1739951794671357,2013 -Iowa,221100,0.7882454624027658,2013 -Iowa,221200,0.07346585998271392,2013 -Iowa,221300,0.13828867761452032,2013 -Kansas,221100,0.6593443730990199,2013 -Kansas,221200,0.19894108369944802,2013 -Kansas,221300,0.14171454320153204,2013 -Kentucky,221100,0.5593505039193729,2013 -Kentucky,221200,0.07070868661014237,2013 -Kentucky,221300,0.36994080947048474,2013 -Louisiana,221100,0.4723404255319149,2013 -Louisiana,221200,0.11872340425531915,2013 -Louisiana,221300,0.40893617021276596,2013 -Maine,221100,0.4902229845626072,2013 -Maine,221200,0.03979416809605489,2013 -Maine,221300,0.4699828473413379,2013 -Maryland,221100,0.9012927147008718,2013 -Maryland,221200,0.04970437919631226,2013 -Maryland,221300,0.049002906102815914,2013 -Massachusetts,221100,0.5336808340016038,2013 -Massachusetts,221200,0.21708099438652767,2013 -Massachusetts,221300,0.24923817161186848,2013 -Michigan,221100,0.8480851895271591,2013 -Michigan,221200,0.11347205939820243,2013 -Michigan,221300,0.03844275107463853,2013 -Minnesota,221100,0.8399500277623543,2013 -Minnesota,221200,0.1103553581343698,2013 -Minnesota,221300,0.049694614103275955,2013 -Mississippi,221100,0.7251056452486727,2013 -Mississippi,221200,0.07118864449019395,2013 -Mississippi,221300,0.20370571026113338,2013 -Missouri,221100,0.5182819734951302,2013 -Missouri,221200,0.15046037575176965,2013 -Missouri,221300,0.3312576507531002,2013 -Montana,221100,0.7834862385321101,2013 -Montana,221200,0.10305810397553516,2013 -Montana,221300,0.11345565749235474,2013 -Nebraska,221100,0.7583965330444203,2013 -Nebraska,221200,0.13001083423618634,2013 -Nebraska,221300,0.11159263271939328,2013 -Nevada,221100,0.672566371681416,2013 -Nevada,221200,0.0,2013 -Nevada,221300,0.3274336283185841,2013 -New Hampshire,221100,0.7671840354767184,2013 -New Hampshire,221200,0.09534368070953436,2013 -New Hampshire,221300,0.13747228381374724,2013 -New Jersey,221100,0.5147460595446585,2013 -New Jersey,221200,0.27782837127845883,2013 -New Jersey,221300,0.20742556917688265,2013 -New Mexico,221100,0.5248477075985893,2013 -New Mexico,221200,0.1829111894838089,2013 -New Mexico,221300,0.2922411029176018,2013 -New York,221100,0.7646516528381404,2013 -New York,221200,0.16075332543131832,2013 -New York,221300,0.07459502173054129,2013 -North Carolina,221100,0.7496595369702795,2013 -North Carolina,221200,0.16646639429624288,2013 -North Carolina,221300,0.08387406873347752,2013 -North Dakota,221100,0.7085166968677193,2013 -North Dakota,221200,0.21485891793942533,2013 -North Dakota,221300,0.07662438519285529,2013 -Ohio,221100,0.4921713227013478,2013 -Ohio,221200,0.14763686562284303,2013 -Ohio,221300,0.3601918116758092,2013 -Oklahoma,221100,0.43314711359404096,2013 -Oklahoma,221200,0.2956548727498448,2013 -Oklahoma,221300,0.27119801365611423,2013 -Oregon,221100,0.6907734717042322,2013 -Oregon,221200,0.0,2013 -Oregon,221300,0.3092265282957678,2013 -Pennsylvania,221100,0.4920473342664461,2013 -Pennsylvania,221200,0.1386944903931798,2013 -Pennsylvania,221300,0.3692581753403741,2013 -Rhode Island,221100,1.0,2013 -Rhode Island,221200,0.0,2013 -Rhode Island,221300,0.0,2013 -South Carolina,221100,0.7697678477919357,2013 -South Carolina,221200,0.05184150811659976,2013 -South Carolina,221300,0.1783906440914645,2013 -South Dakota,221100,0.7897435897435897,2013 -South Dakota,221200,0.09897435897435898,2013 -South Dakota,221300,0.11128205128205128,2013 -Tennessee,221100,0.7502307388036742,2013 -Tennessee,221200,0.07827539225596625,2013 -Tennessee,221300,0.1714938689403595,2013 -Texas,221100,0.542323620397166,2013 -Texas,221200,0.10521654525496457,2013 -Texas,221300,0.3524598343478695,2013 -Utah,221100,0.4969130652427832,2013 -Utah,221200,0.1316535958618388,2013 -Utah,221300,0.37143333889537794,2013 -Vermont,221100,0.884029484029484,2013 -Vermont,221200,0.0,2013 -Vermont,221300,0.11597051597051597,2013 -Virginia,221100,0.48487937478763166,2013 -Virginia,221200,0.07900101936799185,2013 -Virginia,221300,0.4361196058443765,2013 -Washington,221100,0.6384734952028729,2013 -Washington,221200,0.061907059012703006,2013 -Washington,221300,0.29961944578442407,2013 -West Virginia,221100,0.7503384258363953,2013 -West Virginia,221200,0.1434925546315993,2013 -West Virginia,221300,0.10616901953200542,2013 -Wisconsin,221100,0.7756450108797016,2013 -Wisconsin,221200,0.05400994715573516,2013 -Wisconsin,221300,0.17034504196456327,2013 -Wyoming,221100,0.857200160449258,2013 -Wyoming,221200,0.09306056959486562,2013 -Wyoming,221300,0.04973926995587646,2013 -Alabama,221100,0.6985209496611398,2014 -Alabama,221200,0.10165807084097012,2014 -Alabama,221300,0.19982097949789013,2014 -Alaska,221100,0.7283950617283951,2014 -Alaska,221200,0.12867996201329535,2014 -Alaska,221300,0.1429249762583096,2014 -Arizona,221100,0.9926893657347864,2014 -Arizona,221200,0.0,2014 -Arizona,221300,0.007310634265213565,2014 -Arkansas,221100,0.522809963616009,2014 -Arkansas,221200,0.12762384550797648,2014 -Arkansas,221300,0.34956619087601454,2014 -California,221100,0.3699202280330173,2014 -California,221200,0.0,2014 -California,221300,0.6300797719669827,2014 -Colorado,221100,0.8073473399680551,2014 -Colorado,221200,0.10038088217225703,2014 -Colorado,221300,0.09227177785968792,2014 -Connecticut,221100,0.5361080143688839,2014 -Connecticut,221200,0.13786696395392048,2014 -Connecticut,221300,0.3260250216771956,2014 -Delaware,221100,1.0,2014 -Delaware,221200,0.0,2014 -Delaware,221300,0.0,2014 -District Of Columbia,221100,,2014 -District Of Columbia,221200,,2014 -District Of Columbia,221300,,2014 -Florida,221100,0.7694157335630204,2014 -Florida,221200,0.05806775768016078,2014 -Florida,221300,0.17251650875681884,2014 -Georgia,221100,0.8520115671452488,2014 -Georgia,221200,0.09700167419207549,2014 -Georgia,221300,0.050986758662675664,2014 -Hawaii,221100,1.0,2014 -Hawaii,221200,0.0,2014 -Hawaii,221300,0.0,2014 -Idaho,221100,0.7580527086383602,2014 -Idaho,221200,0.0,2014 -Idaho,221300,0.24194729136163984,2014 -Illinois,221100,0.6750119305458684,2014 -Illinois,221200,0.15711611174332807,2014 -Illinois,221300,0.16787195771080357,2014 -Indiana,221100,0.7140645161290322,2014 -Indiana,221200,0.11748387096774193,2014 -Indiana,221300,0.1684516129032258,2014 -Iowa,221100,0.7911681263105957,2014 -Iowa,221200,0.07030960897989393,2014 -Iowa,221300,0.1385222647095103,2014 -Kansas,221100,0.6611061352440663,2014 -Kansas,221200,0.19570085087326466,2014 -Kansas,221300,0.14319301388266906,2014 -Kentucky,221100,0.5611384957862935,2014 -Kentucky,221200,0.07234854507870886,2014 -Kentucky,221300,0.3665129591349976,2014 -Louisiana,221100,0.46368755414380597,2014 -Louisiana,221200,0.11760034652035807,2014 -Louisiana,221300,0.418712099335836,2014 -Maine,221100,0.4639971900245873,2014 -Maine,221200,0.05760449596066034,2014 -Maine,221300,0.47839831401475236,2014 -Maryland,221100,0.8939744492505785,2014 -Maryland,221200,0.05250980786641183,2014 -Maryland,221300,0.05351574288300976,2014 -Massachusetts,221100,0.5605037554055079,2014 -Massachusetts,221200,0.19543281996813594,2014 -Massachusetts,221300,0.2440634246263561,2014 -Michigan,221100,0.8423069553554321,2014 -Michigan,221200,0.1141023184518107,2014 -Michigan,221300,0.04359072619275723,2014 -Minnesota,221100,0.8430672268907563,2014 -Minnesota,221200,0.10938375350140056,2014 -Minnesota,221300,0.047549019607843135,2014 -Mississippi,221100,0.7217816404128191,2014 -Mississippi,221200,0.0712656165127648,2014 -Mississippi,221300,0.20695274307441608,2014 -Missouri,221100,0.5185680650684932,2014 -Missouri,221200,0.14709974315068494,2014 -Missouri,221300,0.3343321917808219,2014 -Montana,221100,0.7480983031012288,2014 -Montana,221200,0.10708016383850205,2014 -Montana,221300,0.14482153306026915,2014 -Nebraska,221100,0.756085626911315,2014 -Nebraska,221200,0.12770642201834861,2014 -Nebraska,221300,0.1162079510703364,2014 -Nevada,221100,0.6702127659574468,2014 -Nevada,221200,0.0,2014 -Nevada,221300,0.32978723404255317,2014 -New Hampshire,221100,0.7530050407134549,2014 -New Hampshire,221200,0.09228383094222567,2014 -New Hampshire,221300,0.1547111283443195,2014 -New Jersey,221100,0.5197109988776656,2014 -New Jersey,221200,0.2820566778900112,2014 -New Jersey,221300,0.19823232323232323,2014 -New Mexico,221100,0.5222704614889854,2014 -New Mexico,221200,0.1847563917028461,2014 -New Mexico,221300,0.2929731468081685,2014 -New York,221100,0.7633574236084696,2014 -New York,221200,0.16563966020032966,2014 -New York,221300,0.07100291619120071,2014 -North Carolina,221100,0.772391606346421,2014 -North Carolina,221200,0.1518607881845434,2014 -North Carolina,221300,0.07574760546903561,2014 -North Dakota,221100,0.9303400462198745,2014 -North Dakota,221200,0.0,2014 -North Dakota,221300,0.06965995378012545,2014 -Ohio,221100,0.5006976993810154,2014 -Ohio,221200,0.14386919031092346,2014 -Ohio,221300,0.35543311030806113,2014 -Oklahoma,221100,0.4299390243902439,2014 -Oklahoma,221200,0.305,2014 -Oklahoma,221300,0.2650609756097561,2014 -Oregon,221100,0.5322806570737297,2014 -Oregon,221200,0.15064306634407232,2014 -Oregon,221300,0.3170762765821979,2014 -Pennsylvania,221100,0.4742340952197255,2014 -Pennsylvania,221200,0.14392258977079114,2014 -Pennsylvania,221300,0.3818433150094834,2014 -Rhode Island,221100,1.0,2014 -Rhode Island,221200,0.0,2014 -Rhode Island,221300,0.0,2014 -South Carolina,221100,0.7686213277816332,2014 -South Carolina,221200,0.05175803839925977,2014 -South Carolina,221300,0.1796206338191071,2014 -South Dakota,221100,0.7874936451448907,2014 -South Dakota,221200,0.10015251652262329,2014 -South Dakota,221300,0.11235383833248602,2014 -Tennessee,221100,0.7399838666308147,2014 -Tennessee,221200,0.08098055032714888,2014 -Tennessee,221300,0.1790355830420364,2014 -Texas,221100,0.5455876097780669,2014 -Texas,221200,0.10341031350864463,2014 -Texas,221300,0.3510020767132885,2014 -Utah,221100,0.49508742714404663,2014 -Utah,221200,0.12722731057452122,2014 -Utah,221300,0.3776852622814321,2014 -Vermont,221100,0.8783578307146478,2014 -Vermont,221200,0.0,2014 -Vermont,221300,0.12164216928535225,2014 -Virginia,221100,0.4815085021606151,2014 -Virginia,221200,0.08288905101296369,2014 -Virginia,221300,0.43560244682642124,2014 -Washington,221100,0.6356733220050977,2014 -Washington,221200,0.061809685641461345,2014 -Washington,221300,0.3025169923534409,2014 -West Virginia,221100,0.7442799461641992,2014 -West Virginia,221200,0.14439530859450106,2014 -West Virginia,221300,0.11132474524129975,2014 -Wisconsin,221100,0.7716566866267465,2014 -Wisconsin,221200,0.053812375249501,2014 -Wisconsin,221300,0.1745309381237525,2014 -Wyoming,221100,0.8520591763294683,2014 -Wyoming,221200,0.0975609756097561,2014 -Wyoming,221300,0.05037984806077569,2014 -Alabama,221100,0.6966287346034181,2015 -Alabama,221200,0.10216084899629203,2015 -Alabama,221300,0.2012104164002898,2015 -Alaska,221100,0.7088014981273408,2015 -Alaska,221200,0.14840823970037453,2015 -Alaska,221300,0.14279026217228463,2015 -Arizona,221100,0.9928438908030744,2015 -Arizona,221200,0.0,2015 -Arizona,221300,0.0071561091969255235,2015 -Arkansas,221100,0.5215497265733617,2015 -Arkansas,221200,0.12586894058763556,2015 -Arkansas,221300,0.35258133283900267,2015 -California,221100,0.36163447951012717,2015 -California,221200,0.0,2015 -California,221300,0.6383655204898728,2015 -Colorado,221100,0.8051457139373247,2015 -Colorado,221200,0.10132910620656017,2015 -Colorado,221300,0.09352517985611511,2015 -Connecticut,221100,0.550213260953858,2015 -Connecticut,221200,0.10895696006203955,2015 -Connecticut,221300,0.3408297789841024,2015 -Delaware,221100,1.0,2015 -Delaware,221200,0.0,2015 -Delaware,221300,0.0,2015 -District Of Columbia,221100,,2015 -District Of Columbia,221200,,2015 -District Of Columbia,221300,,2015 -Florida,221100,0.7707415112302105,2015 -Florida,221200,0.0546525157787102,2015 -Florida,221300,0.1746059729910793,2015 -Georgia,221100,0.8451048951048951,2015 -Georgia,221200,0.0986013986013986,2015 -Georgia,221300,0.056293706293706294,2015 -Hawaii,221100,1.0,2015 -Hawaii,221200,0.0,2015 -Hawaii,221300,0.0,2015 -Idaho,221100,0.7649173256649893,2015 -Idaho,221200,0.0,2015 -Idaho,221300,0.2350826743350108,2015 -Illinois,221100,0.6747615233379451,2015 -Illinois,221200,0.15703051044928276,2015 -Illinois,221300,0.16820796621277215,2015 -Indiana,221100,0.7168385782800079,2015 -Indiana,221200,0.11057092175284147,2015 -Indiana,221300,0.17259049996715065,2015 -Iowa,221100,0.787893580668782,2015 -Iowa,221200,0.07005125701732975,2015 -Iowa,221300,0.1420551623138882,2015 -Kansas,221100,0.6169324221716022,2015 -Kansas,221200,0.22209567198177677,2015 -Kansas,221300,0.1609719058466211,2015 -Kentucky,221100,0.5568099927936584,2015 -Kentucky,221200,0.07334454319801426,2015 -Kentucky,221300,0.36984546400832735,2015 -Louisiana,221100,0.4667838570277595,2015 -Louisiana,221200,0.10818135208379111,2015 -Louisiana,221300,0.4250347908884494,2015 -Maine,221100,0.4726027397260274,2015 -Maine,221200,0.05958904109589041,2015 -Maine,221300,0.4678082191780822,2015 -Maryland,221100,0.8898313745528871,2015 -Maryland,221200,0.055390904445579967,2015 -Maryland,221300,0.054777721001532956,2015 -Massachusetts,221100,0.5412145001154468,2015 -Massachusetts,221200,0.20888170553374893,2015 -Massachusetts,221300,0.2499037943508043,2015 -Michigan,221100,0.8378185621909471,2015 -Michigan,221200,0.11606124001521491,2015 -Michigan,221300,0.04612019779383796,2015 -Minnesota,221100,0.8376996357523115,2015 -Minnesota,221200,0.10941440179321939,2015 -Minnesota,221300,0.05288596245446904,2015 -Mississippi,221100,0.7225045960852168,2015 -Mississippi,221200,0.06942792256948199,2015 -Mississippi,221300,0.20806748134530118,2015 -Missouri,221100,0.5169655320519704,2015 -Missouri,221200,0.14452915279716524,2015 -Missouri,221300,0.3385053151508644,2015 -Montana,221100,0.748541423570595,2015 -Montana,221200,0.11085180863477247,2015 -Montana,221300,0.14060676779463244,2015 -Nebraska,221100,0.7714750813924368,2015 -Nebraska,221200,0.10656148259454044,2015 -Nebraska,221300,0.12196343601302279,2015 -Nevada,221100,0.6731160896130346,2015 -Nevada,221200,0.0,2015 -Nevada,221300,0.3268839103869654,2015 -New Hampshire,221100,0.756368118323747,2015 -New Hampshire,221200,0.08422350041084635,2015 -New Hampshire,221300,0.15940838126540674,2015 -New Jersey,221100,0.5525214554223704,2015 -New Jersey,221200,0.29299950351088727,2015 -New Jersey,221300,0.15447904106674232,2015 -New Mexico,221100,0.5217109526895658,2015 -New Mexico,221200,0.1834089436163318,2015 -New Mexico,221300,0.2948801036941024,2015 -New York,221100,0.7615001675362596,2015 -New York,221200,0.16930735723517304,2015 -New York,221300,0.06919247522856732,2015 -North Carolina,221100,0.7250232805640549,2015 -North Carolina,221200,0.13841958228016496,2015 -North Carolina,221300,0.13655713715578024,2015 -North Dakota,221100,0.9321705426356589,2015 -North Dakota,221200,0.0,2015 -North Dakota,221300,0.06782945736434108,2015 -Ohio,221100,0.47302314284722946,2015 -Ohio,221200,0.1844141424655633,2015 -Ohio,221300,0.3425627146872072,2015 -Oklahoma,221100,0.4292724298782335,2015 -Oklahoma,221200,0.30641546010783305,2015 -Oklahoma,221300,0.2643121100139335,2015 -Oregon,221100,0.5198519085918549,2015 -Oregon,221200,0.15115536831354526,2015 -Oregon,221300,0.32899272309459976,2015 -Pennsylvania,221100,0.508168732153896,2015 -Pennsylvania,221200,0.13682258396867916,2015 -Pennsylvania,221300,0.35500868387742485,2015 -Rhode Island,221100,1.0,2015 -Rhode Island,221200,0.0,2015 -Rhode Island,221300,0.0,2015 -South Carolina,221100,0.7409323116219668,2015 -South Carolina,221200,0.05740740740740741,2015 -South Carolina,221300,0.2016602809706258,2015 -South Dakota,221100,0.7850701402805611,2015 -South Dakota,221200,0.10020040080160321,2015 -South Dakota,221300,0.11472945891783567,2015 -Tennessee,221100,0.7326637753937457,2015 -Tennessee,221200,0.08226432321387811,2015 -Tennessee,221300,0.18507190139237617,2015 -Texas,221100,0.5549419110878921,2015 -Texas,221200,0.094521979252183,2015 -Texas,221300,0.3505361096599249,2015 -Utah,221100,0.46504037107026286,2015 -Utah,221200,0.13142071808967531,2015 -Utah,221300,0.4035389108400618,2015 -Vermont,221100,0.8647125140924464,2015 -Vermont,221200,0.0,2015 -Vermont,221300,0.13528748590755355,2015 -Virginia,221100,0.47935267857142855,2015 -Virginia,221200,0.08649553571428571,2015 -Virginia,221300,0.4341517857142857,2015 -Washington,221100,0.6418434145064152,2015 -Washington,221200,0.05980623199790521,2015 -Washington,221300,0.2983503534956795,2015 -West Virginia,221100,0.7225193107546048,2015 -West Virginia,221200,0.15408991879580114,2015 -West Virginia,221300,0.12339077044959398,2015 -Wisconsin,221100,0.7626437687096266,2015 -Wisconsin,221200,0.06443989286276981,2015 -Wisconsin,221300,0.1729163384276036,2015 -Wyoming,221100,0.8610129564193169,2015 -Wyoming,221200,0.09658421672555949,2015 -Wyoming,221300,0.04240282685512368,2015 -Alabama,221100,0.6958398066632142,2016 -Alabama,221200,0.09999136889349215,2016 -Alabama,221300,0.20416882444329362,2016 -Alaska,221100,0.714622641509434,2016 -Alaska,221200,0.13726415094339622,2016 -Alaska,221300,0.1481132075471698,2016 -Arizona,221100,0.992974695895401,2016 -Arizona,221200,0.0,2016 -Arizona,221300,0.007025304104598972,2016 -Arkansas,221100,0.5329691032403918,2016 -Arkansas,221200,0.10437076111529767,2016 -Arkansas,221300,0.3626601356443105,2016 -California,221100,0.36238932052002404,2016 -California,221200,0.0,2016 -California,221300,0.637610679479976,2016 -Colorado,221100,0.795752427184466,2016 -Colorado,221200,0.10631067961165049,2016 -Colorado,221300,0.09793689320388349,2016 -Connecticut,221100,0.5514211886304909,2016 -Connecticut,221200,0.10904392764857881,2016 -Connecticut,221300,0.3395348837209302,2016 -Delaware,221100,1.0,2016 -Delaware,221200,0.0,2016 -Delaware,221300,0.0,2016 -District Of Columbia,221100,,2016 -District Of Columbia,221200,,2016 -District Of Columbia,221300,,2016 -Florida,221100,0.7706402987138709,2016 -Florida,221200,0.05514451666436178,2016 -Florida,221300,0.17421518462176738,2016 -Georgia,221100,0.8420134562671319,2016 -Georgia,221200,0.10037378519810615,2016 -Georgia,221300,0.057612758534762026,2016 -Hawaii,221100,1.0,2016 -Hawaii,221200,0.0,2016 -Hawaii,221300,0.0,2016 -Idaho,221100,0.7653611210923464,2016 -Idaho,221200,0.0,2016 -Idaho,221300,0.23463887890765361,2016 -Illinois,221100,0.6695485457965562,2016 -Illinois,221200,0.1605049920416727,2016 -Illinois,221300,0.1699464621617711,2016 -Indiana,221100,0.7111716621253406,2016 -Indiana,221200,0.11371037416096232,2016 -Indiana,221300,0.1751179637136971,2016 -Iowa,221100,0.78442521631644,2016 -Iowa,221200,0.07045735475896168,2016 -Iowa,221300,0.14511742892459828,2016 -Kansas,221100,0.6157773806484554,2016 -Kansas,221200,0.2221087567015573,2016 -Kansas,221300,0.16211386264998723,2016 -Kentucky,221100,0.5581913708008279,2016 -Kentucky,221200,0.0728387199490527,2016 -Kentucky,221300,0.3689699092501194,2016 -Louisiana,221100,0.46906069149725477,2016 -Louisiana,221200,0.10023742395014097,2016 -Louisiana,221300,0.4307018845526042,2016 -Maine,221100,0.4832146490335707,2016 -Maine,221200,0.05188199389623601,2016 -Maine,221300,0.4649033570701933,2016 -Maryland,221100,0.8927008750994431,2016 -Maryland,221200,0.056881463802704854,2016 -Maryland,221300,0.05041766109785203,2016 -Massachusetts,221100,0.5553125706960259,2016 -Massachusetts,221200,0.20843073674685167,2016 -Massachusetts,221300,0.2362566925571224,2016 -Michigan,221100,0.8395624002253733,2016 -Michigan,221200,0.11343788149121983,2016 -Michigan,221300,0.04699971828340689,2016 -Minnesota,221100,0.8326792722083483,2016 -Minnesota,221200,0.11202283267927221,2016 -Minnesota,221300,0.05529789511237959,2016 -Mississippi,221100,0.7192065692652234,2016 -Mississippi,221200,0.0681454623013757,2016 -Mississippi,221300,0.21264796843340086,2016 -Missouri,221100,0.5129345409187049,2016 -Missouri,221200,0.14458484733445415,2016 -Missouri,221300,0.3424806117468409,2016 -Montana,221100,0.7471230451460608,2016 -Montana,221200,0.1106521097668929,2016 -Montana,221300,0.14222484508704633,2016 -Nebraska,221100,0.7716777834787071,2016 -Nebraska,221200,0.10582349923037455,2016 -Nebraska,221300,0.12249871729091842,2016 -Nevada,221100,0.674134926562111,2016 -Nevada,221200,0.0,2016 -Nevada,221300,0.32586507343788895,2016 -New Hampshire,221100,0.7365319865319865,2016 -New Hampshire,221200,0.10311447811447812,2016 -New Hampshire,221300,0.16035353535353536,2016 -New Jersey,221100,0.5394820858460447,2016 -New Jersey,221200,0.3054274565448741,2016 -New Jersey,221300,0.15509045760908124,2016 -New Mexico,221100,0.5263325377883851,2016 -New Mexico,221200,0.1858392999204455,2016 -New Mexico,221300,0.2878281622911695,2016 -New York,221100,0.755165113279634,2016 -New York,221200,0.17307083931569853,2016 -New York,221300,0.07176404740466746,2016 -North Carolina,221100,0.7246435027113878,2016 -North Carolina,221200,0.1404565843208141,2016 -North Carolina,221300,0.13489991296779807,2016 -North Dakota,221100,0.9337368588722523,2016 -North Dakota,221200,0.0,2016 -North Dakota,221300,0.06626314112774769,2016 -Ohio,221100,0.4720680083275503,2016 -Ohio,221200,0.19059680777238028,2016 -Ohio,221300,0.3373351839000694,2016 -Oklahoma,221100,0.43917603466683414,2016 -Oklahoma,221200,0.28757143754317654,2016 -Oklahoma,221300,0.2732525277899893,2016 -Oregon,221100,0.5220414752266236,2016 -Oregon,221200,0.14801937166273438,2016 -Oregon,221300,0.329939153110642,2016 -Pennsylvania,221100,0.4958280508299673,2016 -Pennsylvania,221200,0.14113866202789163,2016 -Pennsylvania,221300,0.3630332871421411,2016 -Rhode Island,221100,1.0,2016 -Rhode Island,221200,0.0,2016 -Rhode Island,221300,0.0,2016 -South Carolina,221100,0.7359536246655625,2016 -South Carolina,221200,0.059752834756019876,2016 -South Carolina,221300,0.20429354057841764,2016 -South Dakota,221100,0.784051510648836,2016 -South Dakota,221200,0.09806835066864784,2016 -South Dakota,221300,0.1178801386825161,2016 -Tennessee,221100,0.7305083974329798,2016 -Tennessee,221200,0.08178963178735606,2016 -Tennessee,221300,0.1877019707796641,2016 -Texas,221100,0.5552512985497993,2016 -Texas,221200,0.09005734494148851,2016 -Texas,221300,0.35469135650871225,2016 -Utah,221100,0.45968441130570487,2016 -Utah,221200,0.1321310906883995,2016 -Utah,221300,0.4081844980058956,2016 -Vermont,221100,0.8427037271004422,2016 -Vermont,221200,0.0,2016 -Vermont,221300,0.1572962728995578,2016 -Virginia,221100,0.48124616842222595,2016 -Virginia,221200,0.08755503538984562,2016 -Virginia,221300,0.43119879618792845,2016 -Washington,221100,0.659468438538206,2016 -Washington,221200,0.03590183260100739,2016 -Washington,221300,0.30462972886078665,2016 -West Virginia,221100,0.734571483846005,2016 -West Virginia,221200,0.1408396208164055,2016 -West Virginia,221300,0.12458889533758948,2016 -Wisconsin,221100,0.7481797639969872,2016 -Wisconsin,221200,0.06477529500376601,2016 -Wisconsin,221300,0.1870449409992468,2016 -Wyoming,221100,0.8633516053249805,2016 -Wyoming,221200,0.09162098668754894,2016 -Wyoming,221300,0.04502740798747063,2016 -Alabama,221100,0.6855893267361725,2017 -Alabama,221200,0.10134299346174236,2017 -Alabama,221300,0.21306767980208519,2017 -Alaska,221100,0.7170524326877658,2017 -Alaska,221200,0.1350968351440718,2017 -Alaska,221300,0.1478507321681625,2017 -Arizona,221100,0.9929194256867502,2017 -Arizona,221200,0.0,2017 -Arizona,221300,0.007080574313249852,2017 -Arkansas,221100,0.5367757712565839,2017 -Arkansas,221200,0.09951091045899173,2017 -Arkansas,221300,0.3637133182844244,2017 -California,221100,0.36999005660088724,2017 -California,221200,0.0,2017 -California,221300,0.6300099433991128,2017 -Colorado,221100,0.7925485827453893,2017 -Colorado,221200,0.10521104097041713,2017 -Colorado,221300,0.1022403762841936,2017 -Connecticut,221100,0.547513141932875,2017 -Connecticut,221200,0.10540504111066182,2017 -Connecticut,221300,0.3470818169564631,2017 -Delaware,221100,1.0,2017 -Delaware,221200,0.0,2017 -Delaware,221300,0.0,2017 -District Of Columbia,221100,,2017 -District Of Columbia,221200,,2017 -District Of Columbia,221300,,2017 -Florida,221100,0.7621745999038395,2017 -Florida,221200,0.05608214849921011,2017 -Florida,221300,0.18174325159695034,2017 -Georgia,221100,0.8309082554755706,2017 -Georgia,221200,0.10603972022259663,2017 -Georgia,221300,0.06305202430183285,2017 -Hawaii,221100,1.0,2017 -Hawaii,221200,0.0,2017 -Hawaii,221300,0.0,2017 -Idaho,221100,0.7651128914785142,2017 -Idaho,221200,0.0,2017 -Idaho,221300,0.2348871085214858,2017 -Illinois,221100,0.6565946897567636,2017 -Illinois,221200,0.16713972622426615,2017 -Illinois,221300,0.1762655840189703,2017 -Indiana,221100,0.7114345935976815,2017 -Indiana,221200,0.11632196021604532,2017 -Indiana,221300,0.1722434461862732,2017 -Iowa,221100,0.7845847341551488,2017 -Iowa,221200,0.07022786701531565,2017 -Iowa,221300,0.14518739882953555,2017 -Kansas,221100,0.6113695090439276,2017 -Kansas,221200,0.22080103359173125,2017 -Kansas,221300,0.16782945736434107,2017 -Kentucky,221100,0.552446446921192,2017 -Kentucky,221200,0.07390720101177772,2017 -Kentucky,221300,0.3736463520670303,2017 -Louisiana,221100,0.47029226785053646,2017 -Louisiana,221200,0.09655937846836848,2017 -Louisiana,221300,0.43314835368109506,2017 -Maine,221100,0.4952861952861953,2017 -Maine,221200,0.04276094276094276,2017 -Maine,221300,0.46195286195286195,2017 -Maryland,221100,0.8908489525909592,2017 -Maryland,221200,0.05883532123884935,2017 -Maryland,221300,0.05031572617019144,2017 -Massachusetts,221100,0.5584020842379505,2017 -Massachusetts,221200,0.2134896511796208,2017 -Massachusetts,221300,0.22810826458242872,2017 -Michigan,221100,0.8070104391648668,2017 -Michigan,221200,0.10920626349892008,2017 -Michigan,221300,0.0837832973362131,2017 -Minnesota,221100,0.8255193306405078,2017 -Minnesota,221200,0.1154068090017311,2017 -Minnesota,221300,0.05907386035776111,2017 -Mississippi,221100,0.7129931614939505,2017 -Mississippi,221200,0.06596528143082588,2017 -Mississippi,221300,0.22104155707522358,2017 -Missouri,221100,0.5108607334380586,2017 -Missouri,221200,0.14945019229727532,2017 -Missouri,221300,0.33968907426466605,2017 -Montana,221100,0.8063973063973064,2017 -Montana,221200,0.12558922558922558,2017 -Montana,221300,0.06801346801346801,2017 -Nebraska,221100,0.8951612903225806,2017 -Nebraska,221200,0.10483870967741936,2017 -Nebraska,221300,0.0,2017 -Nevada,221100,0.6723880597014925,2017 -Nevada,221200,0.0,2017 -Nevada,221300,0.3276119402985075,2017 -New Hampshire,221100,0.731433506044905,2017 -New Hampshire,221200,0.1157167530224525,2017 -New Hampshire,221300,0.15284974093264247,2017 -New Jersey,221100,0.5199914778779916,2017 -New Jersey,221200,0.32533200766990983,2017 -New Jersey,221300,0.15467651445209857,2017 -New Mexico,221100,0.5248955991005461,2017 -New Mexico,221200,0.1864760681015098,2017 -New Mexico,221300,0.2886283327979441,2017 -New York,221100,0.7557050836905247,2017 -New York,221200,0.17023059792629486,2017 -New York,221300,0.07406431838318048,2017 -North Carolina,221100,0.7267047363117232,2017 -North Carolina,221200,0.1394020826335237,2017 -North Carolina,221300,0.13389318105475312,2017 -North Dakota,221100,0.9312134977287476,2017 -North Dakota,221200,0.0,2017 -North Dakota,221300,0.06878650227125244,2017 -Ohio,221100,0.46731707317073173,2017 -Ohio,221200,0.1937630662020906,2017 -Ohio,221300,0.3389198606271777,2017 -Oklahoma,221100,0.4646304376570144,2017 -Oklahoma,221200,0.2499669443342589,2017 -Oklahoma,221300,0.2854026180087267,2017 -Oregon,221100,0.693427677234998,2017 -Oregon,221200,0.0,2017 -Oregon,221300,0.306572322765002,2017 -Pennsylvania,221100,0.48789112411969215,2017 -Pennsylvania,221200,0.1445933497756515,2017 -Pennsylvania,221300,0.3675155261046563,2017 -Rhode Island,221100,0.6435733819507748,2017 -Rhode Island,221200,0.0,2017 -Rhode Island,221300,0.35642661804922515,2017 -South Carolina,221100,0.7256625891946993,2017 -South Carolina,221200,0.059441896024464834,2017 -South Carolina,221300,0.21489551478083588,2017 -South Dakota,221100,0.7812343201204215,2017 -South Dakota,221200,0.09834420471650777,2017 -South Dakota,221300,0.12042147516307075,2017 -Tennessee,221100,0.7257370590100086,2017 -Tennessee,221200,0.08523164711743128,2017 -Tennessee,221300,0.18903129387256012,2017 -Texas,221100,0.5520989095152996,2017 -Texas,221200,0.09049685741031159,2017 -Texas,221300,0.3574042330743888,2017 -Utah,221100,0.45615528690618085,2017 -Utah,221200,0.13638685509960838,2017 -Utah,221300,0.4074578579942108,2017 -Vermont,221100,0.8371161548731643,2017 -Vermont,221200,0.0,2017 -Vermont,221300,0.1628838451268358,2017 -Virginia,221100,0.4747101327507982,2017 -Virginia,221200,0.09074105192404638,2017 -Virginia,221300,0.43454881532515544,2017 -Washington,221100,0.6614720438033063,2017 -Washington,221200,0.0368537432873539,2017 -Washington,221300,0.30167421290933977,2017 -West Virginia,221100,0.7480181200453001,2017 -West Virginia,221200,0.135522838807097,2017 -West Virginia,221300,0.11645904114760287,2017 -Wisconsin,221100,0.74617917757325,2017 -Wisconsin,221200,0.06400405302710462,2017 -Wisconsin,221300,0.18981676939964537,2017 -Wyoming,221100,0.8638007231820009,2017 -Wyoming,221200,0.09722780233025312,2017 -Wyoming,221300,0.038971474487746086,2017 -Alabama,221100,0.684650792245729,2018 -Alabama,221200,0.1001150747986191,2018 -Alabama,221300,0.21523413295565194,2018 -Alaska,221100,0.7220956719817767,2018 -Alaska,221200,0.13302961275626424,2018 -Alaska,221300,0.144874715261959,2018 -Arizona,221100,0.9928778686362437,2018 -Arizona,221200,0.0,2018 -Arizona,221300,0.007122131363756265,2018 -Arkansas,221100,0.5392538975501113,2018 -Arkansas,221200,0.09669636228656273,2018 -Arkansas,221300,0.3640497401633259,2018 -California,221100,0.3679787085025914,2018 -California,221200,0.0,2018 -California,221300,0.6320212914974086,2018 -Colorado,221100,0.7866749688667497,2018 -Colorado,221200,0.10859277708592777,2018 -Colorado,221300,0.10473225404732255,2018 -Connecticut,221100,0.5422583758444781,2018 -Connecticut,221200,0.10106162967048118,2018 -Connecticut,221300,0.3566799944850407,2018 -Delaware,221100,1.0,2018 -Delaware,221200,0.0,2018 -Delaware,221300,0.0,2018 -District Of Columbia,221100,1.0,2018 -District Of Columbia,221200,0.0,2018 -District Of Columbia,221300,0.0,2018 -Florida,221100,0.7543787909766237,2018 -Florida,221200,0.0585429019287126,2018 -Florida,221300,0.18707830709466367,2018 -Georgia,221100,0.822259484384825,2018 -Georgia,221200,0.10348983441626493,2018 -Georgia,221300,0.07425068119891008,2018 -Hawaii,221100,1.0,2018 -Hawaii,221200,0.0,2018 -Hawaii,221300,0.0,2018 -Idaho,221100,0.7649802655184786,2018 -Idaho,221200,0.0,2018 -Idaho,221300,0.23501973448152136,2018 -Illinois,221100,0.6557065509699165,2018 -Illinois,221200,0.16519057692997238,2018 -Illinois,221300,0.17910287210011117,2018 -Indiana,221100,0.7139877460565767,2018 -Indiana,221200,0.11752053187328901,2018 -Indiana,221300,0.16849172207013427,2018 -Iowa,221100,0.7842645953395139,2018 -Iowa,221200,0.07166123778501629,2018 -Iowa,221300,0.1440741668754698,2018 -Kansas,221100,0.5979872881355932,2018 -Kansas,221200,0.22709216101694915,2018 -Kansas,221300,0.17492055084745764,2018 -Kentucky,221100,0.5511009391523952,2018 -Kentucky,221200,0.07584247494278273,2018 -Kentucky,221300,0.37305658590482205,2018 -Louisiana,221100,0.4765664985011333,2018 -Louisiana,221200,0.09417269869123346,2018 -Louisiana,221300,0.42926080280763323,2018 -Maine,221100,0.48547008547008547,2018 -Maine,221200,0.043076923076923075,2018 -Maine,221300,0.47145299145299147,2018 -Maryland,221100,0.8828856021732568,2018 -Maryland,221200,0.06177683871616863,2018 -Maryland,221300,0.0553375591105745,2018 -Massachusetts,221100,0.5764583796605144,2018 -Massachusetts,221200,0.1868653176191535,2018 -Massachusetts,221300,0.23667630272033208,2018 -Michigan,221100,0.805064308681672,2018 -Michigan,221200,0.11017327617006073,2018 -Michigan,221300,0.08476241514826724,2018 -Minnesota,221100,0.8236276503049667,2018 -Minnesota,221200,0.11581469648562301,2018 -Minnesota,221300,0.060557653209410395,2018 -Mississippi,221100,0.7066994337001816,2018 -Mississippi,221200,0.06731488406881077,2018 -Mississippi,221300,0.2259856822310076,2018 -Missouri,221100,0.6396913200846821,2018 -Missouri,221200,0.01611691593252749,2018 -Missouri,221300,0.3441917639827904,2018 -Montana,221100,0.8091812264474135,2018 -Montana,221200,0.12572798903734156,2018 -Montana,221300,0.06509078451524494,2018 -Nebraska,221100,0.763048558815892,2018 -Nebraska,221200,0.1043884705271358,2018 -Nebraska,221300,0.13256297065697223,2018 -Nevada,221100,0.7101637639719262,2018 -Nevada,221200,0.0,2018 -Nevada,221300,0.28983623602807385,2018 -New Hampshire,221100,0.7230565371024735,2018 -New Hampshire,221200,0.11704946996466431,2018 -New Hampshire,221300,0.1598939929328622,2018 -New Jersey,221100,0.4937734730183831,2018 -New Jersey,221200,0.3590960005271134,2018 -New Jersey,221300,0.14713052645450353,2018 -New Mexico,221100,0.5184113201479338,2018 -New Mexico,221200,0.18684675992924907,2018 -New Mexico,221300,0.2947419199228172,2018 -New York,221100,0.8069856193292391,2018 -New York,221200,0.11608158313746304,2018 -New York,221300,0.07693279753329794,2018 -North Carolina,221100,0.7362545172947857,2018 -North Carolina,221200,0.13177594217862673,2018 -North Carolina,221300,0.13196954052658752,2018 -North Dakota,221100,0.7068273092369478,2018 -North Dakota,221200,0.1932730923694779,2018 -North Dakota,221300,0.09989959839357429,2018 -Ohio,221100,0.46649008468964553,2018 -Ohio,221200,0.1936709301920329,2018 -Ohio,221300,0.33983898511832156,2018 -Oklahoma,221100,0.46574797932953493,2018 -Oklahoma,221200,0.24897310189479263,2018 -Oklahoma,221300,0.28527891877567246,2018 -Oregon,221100,0.6922244759972954,2018 -Oregon,221200,0.0,2018 -Oregon,221300,0.3077755240027045,2018 -Pennsylvania,221100,0.4811219946571683,2018 -Pennsylvania,221200,0.14663104778866132,2018 -Pennsylvania,221300,0.37224695755417037,2018 -Rhode Island,221100,1.0,2018 -Rhode Island,221200,0.0,2018 -Rhode Island,221300,0.0,2018 -South Carolina,221100,0.7369428656895004,2018 -South Carolina,221200,0.055698474424169905,2018 -South Carolina,221300,0.20735865988632965,2018 -South Dakota,221100,0.7770475227502528,2018 -South Dakota,221200,0.10313447927199192,2018 -South Dakota,221300,0.1198179979777553,2018 -Tennessee,221100,0.724128552649472,2018 -Tennessee,221200,0.08549023163047913,2018 -Tennessee,221300,0.19038121572004896,2018 -Texas,221100,0.5450825098397949,2018 -Texas,221200,0.09513607202609502,2018 -Texas,221300,0.3597814181341101,2018 -Utah,221100,0.45962417470797357,2018 -Utah,221200,0.1271372947350601,2018 -Utah,221300,0.4132385305569663,2018 -Vermont,221100,0.8345612860013396,2018 -Vermont,221200,0.0,2018 -Vermont,221300,0.16543871399866042,2018 -Virginia,221100,0.46573434365946065,2018 -Virginia,221200,0.09399375975039001,2018 -Virginia,221300,0.4402718965901493,2018 -Washington,221100,0.6638834145835494,2018 -Washington,221200,0.037288663001763304,2018 -Washington,221300,0.29882792241468725,2018 -West Virginia,221100,0.7449802964908988,2018 -West Virginia,221200,0.13773691124038281,2018 -West Virginia,221300,0.11728279226871834,2018 -Wisconsin,221100,0.7335944299390774,2018 -Wisconsin,221200,0.06892950391644909,2018 -Wisconsin,221300,0.19747606614447347,2018 -Wyoming,221100,0.8308852719333069,2018 -Wyoming,221200,0.13298928146089717,2018 -Wyoming,221300,0.036125446605795954,2018 -Alabama,221100,0.6727527455145298,2019 -Alabama,221200,0.10570795860261219,2019 -Alabama,221300,0.22153929588285803,2019 -Alaska,221100,0.7215419501133787,2019 -Alaska,221200,0.13424036281179139,2019 -Alaska,221300,0.14421768707482993,2019 -Arizona,221100,0.9928637504955728,2019 -Arizona,221200,0.0,2019 -Arizona,221300,0.007136249504427118,2019 -Arkansas,221100,0.5405255878284924,2019 -Arkansas,221200,0.09414476717381282,2019 -Arkansas,221300,0.36532964499769477,2019 -California,221100,0.36238112291592056,2019 -California,221200,0.0,2019 -California,221300,0.6376188770840794,2019 -Colorado,221100,0.7845249755142018,2019 -Colorado,221200,0.11018609206660138,2019 -Colorado,221300,0.10528893241919686,2019 -Connecticut,221100,0.5402378318584071,2019 -Connecticut,221200,0.10218473451327434,2019 -Connecticut,221300,0.35757743362831856,2019 -Delaware,221100,1.0,2019 -Delaware,221200,0.0,2019 -Delaware,221300,0.0,2019 -District Of Columbia,221100,,2019 -District Of Columbia,221200,,2019 -District Of Columbia,221300,,2019 -Florida,221100,0.7396305332868596,2019 -Florida,221200,0.06378529104217498,2019 -Florida,221300,0.1965841756709655,2019 -Georgia,221100,0.8176795580110497,2019 -Georgia,221200,0.102339030309289,2019 -Georgia,221300,0.07998141167966127,2019 -Hawaii,221100,1.0,2019 -Hawaii,221200,0.0,2019 -Hawaii,221300,0.0,2019 -Idaho,221100,0.7597096188747732,2019 -Idaho,221200,0.0,2019 -Idaho,221300,0.24029038112522685,2019 -Illinois,221100,0.6590065915066815,2019 -Illinois,221200,0.15866440946583582,2019 -Illinois,221300,0.18232899902748262,2019 -Indiana,221100,0.7192532702294091,2019 -Indiana,221200,0.11141786629856044,2019 -Indiana,221300,0.1693288634720305,2019 -Iowa,221100,0.7783043032786885,2019 -Iowa,221200,0.07325819672131148,2019 -Iowa,221300,0.1484375,2019 -Kansas,221100,0.5912261872819963,2019 -Kansas,221200,0.23168768446471694,2019 -Kansas,221300,0.17708612825328682,2019 -Kentucky,221100,0.5480632411067193,2019 -Kentucky,221200,0.07604743083003952,2019 -Kentucky,221300,0.3758893280632411,2019 -Louisiana,221100,0.4758911403638515,2019 -Louisiana,221200,0.0952521816299364,2019 -Louisiana,221300,0.4288566780062121,2019 -Maine,221100,0.48072330262708973,2019 -Maine,221200,0.04435346298191743,2019 -Maine,221300,0.4749232343909928,2019 -Maryland,221100,0.8690367669401398,2019 -Maryland,221200,0.07241973057834498,2019 -Maryland,221300,0.05854350248151524,2019 -Massachusetts,221100,0.5596739900779589,2019 -Massachusetts,221200,0.21346562721474133,2019 -Massachusetts,221300,0.22686038270729977,2019 -Michigan,221100,0.7992614085993142,2019 -Michigan,221200,0.11338257276004572,2019 -Michigan,221300,0.08735601864064012,2019 -Minnesota,221100,0.8351397183513972,2019 -Minnesota,221200,0.10248470102484701,2019 -Minnesota,221300,0.062375580623755804,2019 -Mississippi,221100,0.70881557598702,2019 -Mississippi,221200,0.069118442401298,2019 -Mississippi,221300,0.22206598161168198,2019 -Missouri,221100,0.6398000410874478,2019 -Missouri,221200,0.015613230158186674,2019 -Missouri,221300,0.3445867287543655,2019 -Montana,221100,0.8080082135523614,2019 -Montana,221200,0.12457221081451061,2019 -Montana,221300,0.06741957563312799,2019 -Nebraska,221100,0.890476955195118,2019 -Nebraska,221200,0.10952304480488197,2019 -Nebraska,221300,0.0,2019 -Nevada,221100,0.7064457675381828,2019 -Nevada,221200,0.0,2019 -Nevada,221300,0.2935542324618172,2019 -New Hampshire,221100,0.7089518668466037,2019 -New Hampshire,221200,0.12370670265407108,2019 -New Hampshire,221300,0.16734143049932523,2019 -New Jersey,221100,0.4893223819301848,2019 -New Jersey,221200,0.35523613963039014,2019 -New Jersey,221300,0.15544147843942505,2019 -New Mexico,221100,0.5165981662978185,2019 -New Mexico,221200,0.1879544736010117,2019 -New Mexico,221300,0.2954473601011698,2019 -New York,221100,0.8066682043002485,2019 -New York,221200,0.11468183798467492,2019 -New York,221300,0.07864995771507649,2019 -North Carolina,221100,0.7271416399029953,2019 -North Carolina,221200,0.13475781608442028,2019 -North Carolina,221300,0.1381005440125844,2019 -North Dakota,221100,0.7278059184217542,2019 -North Dakota,221200,0.1682218075179952,2019 -North Dakota,221300,0.1039722740602506,2019 -Ohio,221100,0.4583274523641496,2019 -Ohio,221200,0.19463655610444602,2019 -Ohio,221300,0.34703599153140435,2019 -Oklahoma,221100,0.4596954181436261,2019 -Oklahoma,221200,0.25797558093737694,2019 -Oklahoma,221300,0.282329000918997,2019 -Oregon,221100,0.6886855912821203,2019 -Oregon,221200,0.0,2019 -Oregon,221300,0.31131440871787974,2019 -Pennsylvania,221100,0.4746586646661665,2019 -Pennsylvania,221200,0.14325581395348838,2019 -Pennsylvania,221300,0.3820855213803451,2019 -Rhode Island,221100,1.0,2019 -Rhode Island,221200,0.0,2019 -Rhode Island,221300,0.0,2019 -South Carolina,221100,0.7229600345913892,2019 -South Carolina,221200,0.05843473963802582,2019 -South Carolina,221300,0.21860522577058497,2019 -South Dakota,221100,0.778974358974359,2019 -South Dakota,221200,0.10051282051282051,2019 -South Dakota,221300,0.12051282051282051,2019 -Tennessee,221100,0.7210566512421942,2019 -Tennessee,221200,0.08648187250101083,2019 -Tennessee,221300,0.192461476256795,2019 -Texas,221100,0.5378030707214417,2019 -Texas,221200,0.09845278321180864,2019 -Texas,221300,0.36374414606674965,2019 -Utah,221100,0.4645858343337335,2019 -Utah,221200,0.11593208712056251,2019 -Utah,221300,0.419482078545704,2019 -Vermont,221100,0.8329911019849419,2019 -Vermont,221200,0.0,2019 -Vermont,221300,0.16700889801505817,2019 -Virginia,221100,0.4580943364704572,2019 -Virginia,221200,0.09929275491451801,2019 -Virginia,221300,0.4426129086150248,2019 -Washington,221100,0.6651829112304938,2019 -Washington,221200,0.03658224609874648,2019 -Washington,221300,0.2982348426707598,2019 -West Virginia,221100,0.7412388709982951,2019 -West Virginia,221200,0.13885205531350633,2019 -West Virginia,221300,0.11990907368819852,2019 -Wisconsin,221100,0.7231002768104295,2019 -Wisconsin,221200,0.07250647379230288,2019 -Wisconsin,221300,0.2043932493972676,2019 -Wyoming,221100,0.8266557645134914,2019 -Wyoming,221200,0.1349141455437449,2019 -Wyoming,221300,0.038430089942763694,2019 -Alabama,221100,0.6697235086432207,2020 -Alabama,221200,0.10674492182126645,2020 -Alabama,221300,0.22353156953551287,2020 -Alaska,221100,0.7305180670439704,2020 -Alaska,221200,0.13191118850674793,2020 -Alaska,221300,0.13757074444928166,2020 -Arizona,221100,0.9926660328670379,2020 -Arizona,221200,0.0,2020 -Arizona,221300,0.007333967132962108,2020 -Arkansas,221100,0.543177021198495,2020 -Arkansas,221200,0.0931449022666789,2020 -Arkansas,221300,0.3636780765348261,2020 -California,221100,0.3751733838669975,2020 -California,221200,0.0,2020 -California,221300,0.6248266161330025,2020 -Colorado,221100,0.7732964122321213,2020 -Colorado,221200,0.12123765952323622,2020 -Colorado,221300,0.10546592824464243,2020 -Connecticut,221100,0.5345045678144764,2020 -Connecticut,221200,0.10737877723120169,2020 -Connecticut,221300,0.3581166549543219,2020 -Delaware,221100,1.0,2020 -Delaware,221200,0.0,2020 -Delaware,221300,0.0,2020 -District Of Columbia,221100,1.0,2020 -District Of Columbia,221200,0.0,2020 -District Of Columbia,221300,0.0,2020 -Florida,221100,0.7385718243524034,2020 -Florida,221200,0.06507133952070925,2020 -Florida,221300,0.19635683612688737,2020 -Georgia,221100,0.8168971126474176,2020 -Georgia,221200,0.10059983733224888,2020 -Georgia,221300,0.08250305002033347,2020 -Hawaii,221100,1.0,2020 -Hawaii,221200,0.0,2020 -Hawaii,221300,0.0,2020 -Idaho,221100,0.7602318000724375,2020 -Idaho,221200,0.0,2020 -Idaho,221300,0.2397681999275625,2020 -Illinois,221100,0.6560417592181252,2020 -Illinois,221200,0.15759662372278987,2020 -Illinois,221300,0.18636161705908486,2020 -Indiana,221100,0.7101288894675173,2020 -Indiana,221200,0.11098815258429892,2020 -Indiana,221300,0.17888295794818382,2020 -Iowa,221100,0.786284517733281,2020 -Iowa,221200,0.06412773197225494,2020 -Iowa,221300,0.14958775029446408,2020 -Kansas,221100,0.5899559236009082,2020 -Kansas,221200,0.22505676505943636,2020 -Kansas,221300,0.1849873113396554,2020 -Kentucky,221100,0.5432680783060327,2020 -Kentucky,221200,0.0759089093088294,2020 -Kentucky,221300,0.3808230123851378,2020 -Louisiana,221100,0.490007513148009,2020 -Louisiana,221200,0.10060105184072127,2020 -Louisiana,221300,0.40939143501126973,2020 -Maine,221100,0.4837257617728532,2020 -Maine,221200,0.0453601108033241,2020 -Maine,221300,0.4709141274238227,2020 -Maryland,221100,0.8893366398016119,2020 -Maryland,221200,0.07377557346559206,2020 -Maryland,221300,0.03688778673279603,2020 -Massachusetts,221100,0.5580114398700656,2020 -Massachusetts,221200,0.22088835534213686,2020 -Massachusetts,221300,0.22110020478779746,2020 -Michigan,221100,0.7983275076324057,2020 -Michigan,221200,0.11309234104685634,2020 -Michigan,221300,0.08858015132073802,2020 -Minnesota,221100,0.8380038962985165,2020 -Minnesota,221200,0.10122883260902144,2020 -Minnesota,221300,0.06076727109246216,2020 -Mississippi,221100,0.7118957088538838,2020 -Mississippi,221200,0.06854970124932103,2020 -Mississippi,221300,0.21955458989679522,2020 -Missouri,221100,0.6380474897291275,2020 -Missouri,221200,0.01601559779959613,2020 -Missouri,221300,0.3459369124712764,2020 -Montana,221100,0.8088642659279779,2020 -Montana,221200,0.12465373961218837,2020 -Montana,221300,0.0664819944598338,2020 -Nebraska,221100,0.8869129046967624,2020 -Nebraska,221200,0.10533515731874145,2020 -Nebraska,221300,0.007751937984496124,2020 -Nevada,221100,0.7114728275137832,2020 -Nevada,221200,0.0,2020 -Nevada,221300,0.28852717248621684,2020 -New Hampshire,221100,0.6973506960035922,2020 -New Hampshire,221200,0.1311180960933992,2020 -New Hampshire,221300,0.17153120790300852,2020 -New Jersey,221100,0.4814761320141547,2020 -New Jersey,221200,0.3524229074889868,2020 -New Jersey,221300,0.16610096049685852,2020 -New Mexico,221100,0.5069566608028147,2020 -New Mexico,221200,0.18982888213657445,2020 -New Mexico,221300,0.3032144570606109,2020 -New York,221100,0.8093599449415003,2020 -New York,221200,0.10968366852744003,2020 -New York,221300,0.08095638653105962,2020 -North Carolina,221100,0.7299098392787142,2020 -North Carolina,221200,0.12988370573631255,2020 -North Carolina,221300,0.14020645498497322,2020 -North Dakota,221100,0.7393338838425544,2020 -North Dakota,221200,0.16570327552986513,2020 -North Dakota,221300,0.09496284062758051,2020 -Ohio,221100,0.452992371333405,2020 -Ohio,221200,0.19759320941227032,2020 -Ohio,221300,0.3494144192543247,2020 -Oklahoma,221100,0.507865492856112,2020 -Oklahoma,221200,0.18451435993649878,2020 -Oklahoma,221300,0.3076201472073892,2020 -Oregon,221100,0.687525232135648,2020 -Oregon,221200,0.0,2020 -Oregon,221300,0.312474767864352,2020 -Pennsylvania,221100,0.46654223908453935,2020 -Pennsylvania,221200,0.14796683291007556,2020 -Pennsylvania,221300,0.38549092800538504,2020 -Rhode Island,221100,1.0,2020 -Rhode Island,221200,0.0,2020 -Rhode Island,221300,0.0,2020 -South Carolina,221100,0.7176286072772898,2020 -South Carolina,221200,0.05821831869510665,2020 -South Carolina,221300,0.2241530740276035,2020 -South Dakota,221100,0.7860851505711319,2020 -South Dakota,221200,0.09190031152647975,2020 -South Dakota,221300,0.12201453790238836,2020 -Tennessee,221100,0.721260199456029,2020 -Tennessee,221200,0.08359020852221215,2020 -Tennessee,221300,0.19514959202175883,2020 -Texas,221100,0.536089262411857,2020 -Texas,221200,0.09660118042835422,2020 -Texas,221300,0.3673095571597888,2020 -Utah,221100,0.5736630733460156,2020 -Utah,221200,0.0,2020 -Utah,221300,0.42633692665398437,2020 -Vermont,221100,0.8338008415147266,2020 -Vermont,221200,0.0,2020 -Vermont,221300,0.1661991584852735,2020 -Virginia,221100,0.45522054718034616,2020 -Virginia,221200,0.10429927414852037,2020 -Virginia,221300,0.4404801786711334,2020 -Washington,221100,0.6630072333658237,2020 -Washington,221200,0.03611552865131073,2020 -Washington,221300,0.30087723798286564,2020 -West Virginia,221100,0.720976384203215,2020 -West Virginia,221200,0.15320500099226037,2020 -West Virginia,221300,0.12581861480452472,2020 -Wisconsin,221100,0.719803630974435,2020 -Wisconsin,221200,0.0721563542052612,2020 -Wisconsin,221300,0.20804001482030382,2020 -Wyoming,221100,0.8170230263157895,2020 -Wyoming,221200,0.14268092105263158,2020 -Wyoming,221300,0.04029605263157895,2020 diff --git a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml b/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml deleted file mode 100644 index ff6e346..0000000 --- a/inst/extdata/disaggspecs/UtilityDisaggByProxy.yml +++ /dev/null @@ -1,11 +0,0 @@ -Disaggregation: - 22/US: - OriginalSectorCode: "22/US" - OriginalSectorName: "Utilities" - DisaggregationType: "Userdefined" - SectorFile: UtilityDisaggregation_Sectors.csv -# MakeFile: UtilityStateDummy_Make.csv -# UseFile: UtilityStateDummy_Use.csv -# EnvFile: UtilityDisaggregationSummary_Env.csv - stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg - package: "useeior" diff --git a/inst/extdata/disaggspecs/UtilityStateDummy_Make.csv b/inst/extdata/disaggspecs/UtilityStateDummy_Make.csv deleted file mode 100644 index 7813278..0000000 --- a/inst/extdata/disaggspecs/UtilityStateDummy_Make.csv +++ /dev/null @@ -1,4 +0,0 @@ -IndustryCode,CommodityCode,PercentMake,Note -22/US,221100/US,0.63541758,CommodityDisagg -22/US,221200/US,0.108148191,CommodityDisagg -22/US,221300/US,0.256434229,CommodityDisagg diff --git a/inst/extdata/disaggspecs/UtilityStateDummy_Use.csv b/inst/extdata/disaggspecs/UtilityStateDummy_Use.csv deleted file mode 100644 index db94e89..0000000 --- a/inst/extdata/disaggspecs/UtilityStateDummy_Use.csv +++ /dev/null @@ -1,7 +0,0 @@ -IndustryCode,CommodityCode,PercentUsed,Note, -221100/US,22/US,0.63541758,IndustryDisagg, -221200/US,22/US,0.108148191,IndustryDisagg, -221300/US,22/US,0.256434229,IndustryDisagg, -22/US,221100/US,0.63541758,CommodityDisagg, -22/US,221200/US,0.108148191,CommodityDisagg, -22/US,221300/US,0.256434229,CommodityDisagg, diff --git a/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml b/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml deleted file mode 100644 index 3b1dd31..0000000 --- a/inst/extdata/modelspecs/StateIOv1.0.0-75_Proxy.yml +++ /dev/null @@ -1,28 +0,0 @@ -Model: "StateIOv1.0.0-75_Proxy" # 75 represents Summary level disaggregated model (73 + 2 = 75 commodities & 71 + 2 = 73 industries) -BaseIOSchema: 2012 -BaseIOLevel: "Summary" -IOYear: - - 2012 - - 2013 - - 2014 - - 2015 - - 2016 - - 2017 -GeoScale: - - "State" - - "TwoRegion" # SoI and RoUS -IODataSource: "BEA" -BasePriceType: "PRO" -BasewithRedefinitions: FALSE -ScrapIncluded: FALSE -DisaggregationSpecs: "UtilityDisaggByProxy" - -DataProduct: - - "Make" - - "Use" - - "DomesticUse" - - "DomesticUsewithTrade" - - "InternationalTradeAdjustment" - - "CommodityOutput" - - "IndustryOutput" - - "ValueAdded" From 7a53ca2723574ace0aace5d4e54318f0256a20c0 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sat, 26 Oct 2024 14:12:59 -0400 Subject: [PATCH 39/39] drop additional file --- inst/extdata/disaggspecs/UtilityStateDummy.yml | 11 ----------- 1 file changed, 11 deletions(-) delete mode 100644 inst/extdata/disaggspecs/UtilityStateDummy.yml diff --git a/inst/extdata/disaggspecs/UtilityStateDummy.yml b/inst/extdata/disaggspecs/UtilityStateDummy.yml deleted file mode 100644 index b8b9048..0000000 --- a/inst/extdata/disaggspecs/UtilityStateDummy.yml +++ /dev/null @@ -1,11 +0,0 @@ -Disaggregation: - 22/US: - OriginalSectorCode: "22/US" - OriginalSectorName: "Utilities" - DisaggregationType: "Userdefined" - SectorFile: UtilityDisaggregation_Sectors.csv - MakeFile: UtilityStateDummy_Make.csv - UseFile: UtilityStateDummy_Use.csv - # EnvFile: UtilityDisaggregationSummary_Env.csv -# stateFile: Employment_ratios.csv #Uncomment this when the above Make and USe files are working in stateior disagg - package: "stateior"