Skip to content

Commit

Permalink
Merge pull request #412 from bodiyang/master
Browse files Browse the repository at this point in the history
CBO baseline update
  • Loading branch information
andersonfrailey authored Aug 6, 2022
2 parents c949e40 + 8b9bcec commit b76d900
Show file tree
Hide file tree
Showing 21 changed files with 174 additions and 157 deletions.
2 changes: 1 addition & 1 deletion cps_stage1/stage1.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@

def main(syr=2014):
SYR = str(syr) # Start year of CPS
EYR = 2031 # Last year in our extrapolation
EYR = 2032 # Last year in our extrapolation

# Read in state SOI estimates
soi_estimates = pd.read_csv(
Expand Down
48 changes: 24 additions & 24 deletions cps_stage1/stage_2_targets.csv
Original file line number Diff line number Diff line change
@@ -1,24 +1,24 @@
,2014,2015,2016,2017,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031
Single,69579590,71086947,71410690,73021932,72028792,71924422,73183813,74331876,75333822,76224441,77122018,77984804,78861507,79745168,80635787,81540322,82451814,83377223,84309589,85248914,86209112
Joint,55128595,57272012,57201828,57987204,57069122,56986429,57984256,58893878,59687730,60393376,61104535,61788129,62482750,63182883,63888529,64605200,65327385,66060595,66799319,67543555,68304329
HH,22077498,22134303,21659639,21894095,22854626,22821510,23221112,23585391,23903307,24185899,24470699,24744460,25022636,25303020,25585612,25872620,26161835,26455466,26751304,27049351,27354020
SS_return,27401498,28087514,28329015,28967603,31684352,32736570,33818929,34953351,36139836,37386604,38614191,39891101,41154310,42384637,43664287,44875433,46007115,47097695,48141692,49089784,49843325
Dep_return,96916673,96505181,94809260,94708629,99911398,100735190,101549290,102373082,103187182,104001282,104805690,105610099,106414507,107209224,107984557,108759890,109525532,110281482,111018049,111744924,112452416
INTS,156367939,95881223,96640233,106055367,124828526,125813644,138072890,143655226,146798221,143373763,136337206,132381097,133538220,135633550,142779565,155961382,171410535,189127022,206718415,226311318,245919858
DIVS,254702232,260252720,254065327,282336042,340613295,332513764,369521998,415419340,410732819,401436188,428332744,459890350,480699522,498630560,515211675,530315517,546769281,566254002,589151733,615589825,644549468
SCHCI,374659000,391975736,389078638,416010104,435503622,432281554,462216808,485970189,506464036,507475616,560227603,562438091,582894472,609794988,637220027,663708418,689372560,715898417,741824820,768275745,796937159
SCHCL,57400238,60161435,60996610,69637956,63668344,64552308,73696166,77478841,80750655,80911375,89320510,89670652,92936725,97224523,101592681,105823079,109909976,114140373,118278930,122497848,127066907
CGNS,705007630,713598090,634341278,859894631,1249696525,1110880523,1505896298,1631599158,1805454040,1662689995,2059679791,2087175089,1929182879,1850927032,1823784238,1820118198,1837390885,1872641267,1920017780,1975501880,2039305071
Pension,663223262,689991999,693626543,729187412,776568117,800178866,851446024,896810495,931961328,988401627,1005114854,1022690270,1061621475,1106256401,1155732856,1208392783,1260920066,1318355200,1376984137,1438332288,1506246350
SCHEI,846331543,891134646,882933054,973306129,1140431754,1129937243,1245546132,1321292805,1325778362,1199844229,1356077031,1378081651,1473632483,1584501915,1685553901,1751906294,1807764176,1860659897,1908562263,1956972427,2009275716
SCHEL,166947674,177896945,176446339,206369393,169401805,168032834,196514107,208467561,209168741,189301968,213960139,217432651,232508026,249987447,265930950,276398569,285213406,293560790,301123520,308753028,317000243
SS,575126918,605152093,619856114,644989570,709246515,726500323,755946821,795975655,847794590,899095911,952065100,1010555508,1073244342,1140131602,1210354599,1284603484,1362935770,1448169580,1536106485,1629392071,1728256389
UCOMP,33288898,27225383,25420264,23946035,9810238,9161105,8628482,7962704,7490002,7746327,66767543,11068559,10216363,9960038,9417429,9151118,9347523,9880145,10459372,11185070,12559901
wage1,114320683,112017897,111270085,107376379,132211870,134189618,140763057,147793779,154687316,155144599,162735492,170189201,177414268,185268099,193430596,201364451,208760999,216306164,223908490,231579408,239753336
wage2,261995646,261659142,253415638,247511878,302997965,307530489,322595239,338707971,354506309,355554291,372950802,390032918,406591043,424590144,443296633,461479131,478430249,495721962,513144672,530724580,549457269
wage3,381259619,383184602,382875414,382789227,440926749,447522541,469444969,492892435,515882390,517407429,542723068,567581195,591676803,617869339,645091275,671550693,696218190,721381325,746735090,772317610,799577673
wage4,418567676,428313928,436140082,441282302,484073517,491314738,515382379,541124292,566363922,568038193,595831087,623121699,649575176,678330776,708216508,737265105,764346433,791971900,819806650,847892541,877820130
wage5,418379915,424369612,426147995,437485582,483856372,491094344,515151189,540881554,566109863,567783383,595563809,622842179,649283790,678026490,707898816,736934382,764003563,791616637,819438902,847512194,877426358
wage6,916618937,952347137,962308451,1000500360,1060069801,1075927308,1128632897,1185004962,1240277084,1243943559,1304807057,1364570612,1422500928,1485472649,1550919241,1614532596,1673837841,1734334691,1795289850,1856794981,1922333235
wage7,840581301,835434509,852517230,870406373,972132275,986674331,1035007756,1086703506,1137390558,1140752884,1196567482,1251373383,1304498121,1362246056,1422263561,1480599904,1534985514,1590463880,1646362536,1702765541,1762867104
wage8,3433224075,3714896131,3792750634,4090211841,3970523643,4029918419,4227328804,4438472084,4645495496,4659228392,4887194471,5111040680,5328020442,5563882936,5809015135,6047280886,6269410483,6496003272,6724312673,6954682009,7200157530
,2014,2015,2016,2017,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032
Single,69579590,71086947,71410690,73021932,72028792,71924422,73183813,74331876,75333822,76224441,77122018,77984804,78861507,79745168,80635787,81540322,82451814,83377223,84309589,85248914,86209112,87169310
Joint,55128595,57272012,57201828,57987204,57069122,56986429,57984256,58893878,59687730,60393376,61104535,61788129,62482750,63182883,63888529,64605200,65327385,66060595,66799319,67543555,68304329,69065104
HH,22077498,22134303,21659639,21894095,22854626,22821510,23221112,23585391,23903307,24185899,24470699,24744460,25022636,25303020,25585612,25872620,26161835,26455466,26751304,27049351,27354020,27658689
SS_return,27401498,28087514,28329015,28967603,31684352,32736570,33818929,34953351,36139836,37386604,38614191,39891101,41154310,42384637,43664287,44875433,46007115,47097695,48141692,49089784,49843325,50509181
Dep_return,96916673,96505181,94809260,94708629,99911398,100735190,101549290,102373082,103187182,104001282,104805690,105610099,106414507,107209224,107984557,108759890,109525532,110281482,111018049,111744924,112452416,113150216
INTS,156367939,95881223,96640233,106055367,124828526,125813644,138072890,143545768,146829495,143483221,145797466,144515249,159776760,178478366,194850089,209533038,221792285,235380659,247983914,261900661,275614129,289108682
DIVS,254702232,260252720,254065327,282336042,340613295,332513764,369521998,401130545,421201081,415393870,416234388,452554926,492313944,522725391,546973043,563757920,575703455,588413096,604764980,624580813,646663497,670962090
SCHCI,374659000,391975736,389078638,416010104,435503622,432281554,462216808,485895257,491852335,497996743,543105686,581770495,607509568,626542246,647635547,670714542,695367104,723541461,752914726,783037310,814171473,846317215
SCHCL,57400238,60161435,60996610,69637956,63668344,64552308,73696166,77467361,78425945,79396009,86593999,92758785,96862902,99899374,103257288,106936643,110868560,115362998,120046858,124851258,129810638,134936479
CGNS,705007630,713598090,634341278,859894631,1249696525,1110880523,1505896298,1632163164,1523239485,2000388649,2297760868,2430936809,2356558504,2164655427,2062640823,2012514781,2007297724,2035004524,2081676029,2143928203,2213089451,2289159775
Pension,663223262,689991999,693626543,729187412,776568117,800178866,846471849,889515039,925594384,986014024,1058835938,1082181397,1138886986,1190817367,1241421302,1294412840,1347868635,1405900671,1464861219,1527336850,1590939961,1657925510
SCHEI,846331543,891134646,882933054,973306129,1140431754,1129937243,1245546132,1348629314,1385360103,1312829490,1644760721,1734387231,1761723740,1757661349,1785167124,1786521254,1808441241,1858628702,1933190511,2007583053,2080113666,2155691073
SCHEL,166947674,177896945,176446339,206369393,169401805,168032834,196514107,212774811,218567895,207131979,259486770,273627238,277951182,277316781,281657421,281857758,285330270,293243589,305013400,316749822,328185738,340105801
SS,575126918,605152093,619856114,644989570,709246515,726500323,755946821,795975655,847794590,899095911,952065100,1016191751,1097687236,1171648557,1244919727,1322159272,1402216939,1488255926,1577285573,1668903291,1762879029,1762879029
UCOMP,33288898,27225383,25420264,23946035,9810238,9161105,8628482,7962704,7490002,7746327,66767543,10193061,7633144,8711705,9410771,10239665,11098519,12097186,12882804,13372150,13824879,14211031
wage1,114320683,112017897,111270085,107376379,132211870,134189618,140763057,147839507,154870229,156870841,171538185,186582787,194756716,201444476,208303716,215951770,224308612,232894095,241639628,250728122,260205307,270048317
wage2,261995646,261659142,253415638,247511878,302997965,307530489,322595239,338812769,354925502,359510425,393124467,427603094,446335783,461662528,477382267,494909775,514061657,533737530,553780197,574608851,596328290,618886115
wage3,381259619,383184602,382875414,382789227,440926749,447522541,469444969,493044939,516492406,523164449,572080058,622253824,649513887,671817575,694693152,720199420,748069498,776702096,805868457,836178596,867785019,900611472
wage4,418567676,428313928,436140082,441282302,484073517,491314738,515382379,541291719,567033631,574358565,628060798,683144304,713071893,737558102,762672162,790674340,821271637,852706070,884726497,918002627,952701887,988740564
wage5,418379915,424369612,426147995,437485582,483856372,491094344,515151189,541048906,566779271,574100919,627779062,682837859,712752023,737227248,762330043,790319659,820903231,852323563,884329626,917590830,952274525,988297035
wage6,916618937,952347137,962308451,1000500360,1060069801,1075927308,1128632897,1185371609,1241743674,1257784505,1375386715,1496013767,1561552021,1615174229,1670171365,1731493172,1798498016,1867336098,1937457447,2010328653,2086316363,2165237253
wage7,840581301,835434509,852517230,870406373,972132275,986674331,1035007756,1087039738,1138735488,1153445661,1261292242,1371912741,1432014304,1481188310,1531623189,1587858078,1649304571,1712432226,1776736696,1843562909,1913247099,1985621149
wage8,3433224075,3714896131,3792750634,4090211841,3970523643,4029918419,4227328804,4439845374,4650988654,4711070076,5151552725,5603365013,5848840534,6049684143,6255677587,6485360278,6736328958,6994164086,7256805727,7529747041,7814361317,8109961910
Binary file modified cps_stage2/cps_weights.csv.gz
Binary file not shown.
2 changes: 1 addition & 1 deletion cps_stage2/solver.jl
Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,7 @@ function Solve_func(year, tol)

end

year_list = [x for x in 2014:2031]
year_list = [x for x in 2014:2032]
tol = 0.70

# Run solver function for all years and tolerances (in order)
Expand Down
17 changes: 10 additions & 7 deletions cps_stage2/stage2.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
STAGE_1_PATH = Path(CUR_PATH, "..", "puf_stage1", "Stage_I_factors.csv")
STAGE_2_PATH = Path(CUR_PATH, "..", "cps_stage1", "stage_2_targets.csv")
START_YEAR = 2014
END_YEAR = 2031
END_YEAR = 2032

# Read hashes used to see which years can be skipped
with open(Path(CUR_PATH, "..", "datahashes.json")) as f:
Expand Down Expand Up @@ -62,12 +62,15 @@ def main():
# write .npz input files for solver
skipped_years = []
for year in range(START_YEAR, END_YEAR + 1):
factor_match = _factors[year].equals(CUR_FACTORS[year])
target_match = stage_2_targets[f"{year}"].equals(CUR_TARGETS[f"{year}"])
if files_match and factor_match and target_match:
print(f"Skipping {year}")
skipped_years.append(year)
continue
try:
factor_match = _factors[year].equals(CUR_FACTORS[year])
target_match = stage_2_targets[f"{year}"].equals(CUR_TARGETS[f"{year}"])
if files_match and factor_match and target_match:
print(f"Skipping {year}")
skipped_years.append(year)
continue
except KeyError:
pass
dataprep(cps, stage_1_factors, stage_2_targets, year)

# Solver (in Julia)
Expand Down
18 changes: 9 additions & 9 deletions docs/book/content/methods/CBO_Baseline_Updating_Instructions.md
Original file line number Diff line number Diff line change
Expand Up @@ -47,9 +47,9 @@ As previously mentioned, most of the variables we used can be found in the
To manually update these variables download the latest file and copy/paste the
specific variables.

Previous Document: July 2020
Previous Document: February 2021

Current Document: February 2021
Current Document: May 2022

| Variable | Name In CBO Document |
|----------|-----------------------------------------------------|
Expand All @@ -70,9 +70,9 @@ Current Document: February 2021

Source: [Revenue Projections, By Category (CBO)](https://www.cbo.gov/about/products/budget-economic-data#7)

Previous: [January 2020](https://www.cbo.gov/system/files/2020-01/51138-2020-01-revenue-projections.xlsx)
Previous: [February 2021](https://www.cbo.gov/system/files/2021-02/51138-2021-02-11-revenueprojections.xlsx)

Current: [February 2021](https://www.cbo.gov/system/files/2021-02/51138-2021-02-11-revenueprojections.xlsx)
Current: [May 2022](https://www.cbo.gov/system/files/2022-05/51138-2022-05-Revenue-Projections.xlsx)

In the revenue projections file, the data is in the `Capital Gains Realizations`
tab under the `Capital Gains Realizations` column.
Expand All @@ -81,9 +81,9 @@ tab under the `Capital Gains Realizations` column.

Source: [IRS Publication 6187 Table 1B](https://www.irs.gov/statistics/projections-of-federal-tax-return-filings)

Previous: [Fall 2019 Report](https://www.irs.gov/pub/irs-soi/19projpub6187tables.xls)
Previous: [Fall 2020 Report](https://www.irs.gov/pub/irs-soi/20projpub6187tables.xls)

Current: [Fall 2020 Report](https://www.irs.gov/pub/irs-soi/20projpub6187tables.xls)
Current: [Fall 2021 Report](https://www.irs.gov/pub/irs-soi/21projpub6187tables.xls)

The projections in the publication typically end a few years before the
10-year projections do. We use the growth rate from the final year in the
Expand All @@ -108,7 +108,7 @@ column of this table.
Source: [BLS Database](http://data.bls.gov/timeseries/CUSR0000SAM?output_view=pct_1mth)

Series ID: CUSR0000SAM
Access Date: June 16 2021
Access Date: June 27 2022

Manual Instructions:

Expand All @@ -124,9 +124,9 @@ Manual Instructions:

Source: [CBO Unemployment Compensation projections](https://www.cbo.gov/about/products/baseline-projections-selected-programs#24)

Previous: [January 2020](https://www.cbo.gov/system/files/2020-01/51316-2020-01-unemployment.pdf)
Previous: [March 2020](https://www.cbo.gov/system/files/2020-03/51316-2020-03-unemployment.pdf)

Current: [March 2020](https://www.cbo.gov/system/files/2020-03/51316-2020-03-unemployment.pdf)
Current: [May 2022](https://www.cbo.gov/system/files/2022-05/51316-2022-05-unemployment.xlsx)

Note: Change the `Total Benefits` number from the table to be in terms of
billions rather than millions of dollars
Expand Down
Binary file added history/reports/taxdata_report_2022-07-25.pdf
Binary file not shown.
Binary file added history/reports/taxdata_report_2022-08-02.pdf
Binary file not shown.
32 changes: 16 additions & 16 deletions puf_stage1/CBO_baseline.csv
Original file line number Diff line number Diff line change
@@ -1,16 +1,16 @@
,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031
GDP,14718.6,14418.7,14964.4,15517.9,16163.2,16800,17348.1,18036.7,18624.5,19543,20611.9,21433.2,20933.5,22253.1,23334.8,24322,25402.1,26529.2,27630.3,28689.4,29783.9,30903,32039.8,33237.6
TPY,12429.6,12087.5,12429.3,13202,13887.7,14166.9,14694.2,15458.5,15928.7,16948.6,17851.9,18551.5,19675.2,20007.9,20357.1,21132.1,22020.3,23006.2,24053.4,25099.9,26242.6,27410.3,28631.6,29983.7
Wages,6531.9,6251.4,6377.5,6633.2,6932.1,7124.7,7477.8,7854.8,8085.3,8471.5,8894.2,9309.4,9336.7,9793.5,10241.9,10676.8,11149.9,11641.1,12118.2,12563.6,13017.3,13475.2,13936.8,14428.2
SCHC,979.5,937.5,986.7,1068.1,1187.9,1253.5,1268.5,1336.8,1298.7,1467.5,1542.9,1608,1611.2,1778.7,1785.7,1850.7,1936.1,2023.1,2107.3,2188.7,2272.9,2355.3,2439.3,2530.3
SCHF,47,35.5,46,75.5,72.3,83.2,78.1,40,43.2,41.5,43,49.7,66.4,62,54.7,58,59.9,61.7,63.3,65.2,67.2,69.6,72.2,74.8
INTS,1361.6,1264.3,1195,1231.6,1255.9,1255.2,1302,1302.8,1415.3,1577.7,1641.6,1677.4,1638.3,1557.9,1512.7,1526,1549.8,1631.6,1782.2,1958.7,2161.2,2362.2,2586.1,2810.1
DIVS,805.4,553.7,544.6,682.2,832.7,824.5,815.5,951.1,962.5,1160.9,1305.1,1290.4,1261.2,1345.7,1444.8,1510.2,1566.5,1618.6,1666.1,1717.8,1779,1850.9,1934,2025
RENTS,262.1,333.7,402.8,485.3,533,595.8,610.8,659.6,707.4,721.9,759.3,787.1,804.4,837.7,888.3,948.7,993.8,1019.4,1039.9,1061,1091.7,1127.6,1165.3,1215.5
CGNS,498,264,394,404,647,511,716,725,641,871.3,944,1044.6,962,1191.7,1207.6,1116.2,1070.9,1055.2,1053.1,1063.1,1083.5,1110.9,1143,1179.9
BOOK,1285.1,1397,1746.4,1816.6,2022.8,2106.9,2072.9,2088.1,2073.5,2114.5,2243,2250.6,2036.8,2302.1,2339.5,2501.7,2689.8,2861.4,2974,3068.9,3158.6,3240,3322.1,3410.9
RETS,142.5,140.5,142.9,145.4,144.9,146.6,148.3,147.8,149.7,149.9,152.5,153.5,160,161,159.1,161.8,164.2,165.9,167.2,168.3,169.5,170.8,172,173.2
SOCSEC,503,544.5,572.5,591.5,627.2,663.2,698.2,733.7,762.1,791.1,833,887.2,940.9,996.3,1057.5,1123.1,1193.1,1266.6,1344.3,1426.3,1515.5,1607.5,1705.1,1808.6
CPIU,215.3,214.5,218.1,224.9,229.6,233,236.7,237,240,245.1,251.1,255.6,258.8,263.8,269.3,275.4,281.8,288.4,295.4,302.6,310,317.6,325.2,332.8
CPIM,364.1,375.6,388.4,400.3,414.9,425.1,435.3,446.8,463.7,475.3,484.7,498.4,518.9,523.2,475.8,481.9,488.3,494.9,501.9,509.1,516.5,524.1,531.7,539.3
UCOMP,51.1,131.2,138.9,107.2,83.6,62.2,43.8,39.9,31.2,31.1,28.7,27,27.925,240.656,39.895,36.821,35.901,33.945,32.98,33.692,35.617,37.695,40.32,45.273
,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032
GDP,14718.6,14418.7,14964.4,15517.9,16163.2,16800,17348.1,18036.7,18624.5,19479.6,20527.2,21372.6,20893.8,22997.5,25135.4,26529.1,27531.2,28525.2,29516.8,30613.8,31788.4,33032.1,34322.7,35654.3,37026.3
TPY,12429.6,12087.5,12429.3,13202,13887.7,14166.9,14694.2,15458.5,15928.7,16850.2,17706,18424.4,19627.6,21076.8,21542.2,22671,23704.3,24711.9,25766.2,26830.9,27985.3,29159.3,30402.8,31669,33002.8
Wages,6531.9,6251.4,6377.5,6633.2,6932.1,7124.7,7477.8,7854.8,8085.3,8474.7,8900.5,9323.5,9444.1,10326.9,11233.1,11725.2,12128,12540.6,13001,13503.9,14020.9,14547.5,15094.7,15665.6,16257.7
SCHC,979.5,937.5,986.7,1068.1,1187.9,1253.5,1268.5,1336.8,1298.7,1466.4,1541.5,1560.5,1579.9,1723.1,1845.7,1927.4,1987.8,2054.7,2127.9,2206.1,2295.5,2388.7,2484.3,2583,2685
SCHF,47,35.5,46,75.5,72.3,83.2,78.1,40,43.2,39.5,38.9,38.4,70.2,97.8,66.4,57.7,51.5,47.7,45.5,44.8,44.9,45.6,46.4,47.4,48.4
INTS,1361.6,1264.3,1195,1231.6,1255.9,1255.2,1302,1302.8,1415.3,1553.4,1615,1652,1614.4,1640.3,1626,1797.7,2008,2192.2,2357.5,2495.4,2648.2,2790.1,2946.6,3101,3252.8
DIVS,805.4,553.7,544.6,682.2,832.7,824.5,815.5,951.1,962.5,1154.5,1253.3,1316,1297.8,1300.5,1413.9,1538.2,1633.2,1708.9,1761.4,1798.7,1838.4,1889.5,1951.4,2020.4,2096.3
RENTS,262.1,333.7,402.8,485.3,533,595.8,610.8,659.6,707.4,652.7,681.9,692.1,711.6,727.5,772.3,813.4,836.3,844.2,862.7,899.5,937,978.8,1024,1074.1,1127.4
CGNS,498,263,394,404,647,511,716,725,641,871,944,881,1157,1329,1406,1363,1252,1193,1164,1161,1177,1204,1240,1280,1324
BOOK,1285.1,1397,1746.4,1816.6,2022.8,2106.9,2072.9,2088.1,2073.5,2128.9,2305,2367.8,2243.8,2811.1,2964.3,3011.1,3004.1,3051.2,3053.4,3091,3176.7,3304.2,3431.3,3555.3,3684.4
RETS,142.5,140.5,142.9,145.4,144.9,146.6,148.3,147.8,149.7,149.9,152.5,153.5,160.1,164.3,160.7,163.8,165.4,167.1,168.8,170.6,172.5,174.3,176.2,178.1,180.1
SOCSEC,503,544.5,572.5,591.5,627.2,663.2,698.2,733.7,762.1,791.1,833,887.2,940.9,996.3,1063.4,1148.7,1226.1,1302.8,1383.6,1467.4,1557.4,1650.6,1746.5,1844.8,
CPIU,215.3,214.5,218.1,224.9,229.6,233,236.7,237,240,245.1,251.1,255.6,258.8,271,287.5,296.4,303.5,310.5,317.7,325.1,332.8,340.7,348.7,356.9,365.2
CPIM,364.1,375.6,388.4,400.3,414.9,425.1,435.3,446.8,463.7,475.3,484.7,498.4,518.9,525.3,538.7,505.6,512.7,519.7,526.9,534.3,542,549.9,557.9,566.1,574.4
UCOMP,51.1,131.2,138.9,107.2,83.6,62.2,43.8,39.9,31.2,31.1,28.7,27,27.925,240.656,36.743,27.511,31.4,33.922,36.907,40.003,43.608,46.439,48.195,49.829,51.225
Loading

0 comments on commit b76d900

Please sign in to comment.