diff --git a/Database/tg/data/m01auto.csv b/Database/tg/data/m01auto.csv
index b0ecdaf..ad60e2f 100644
--- a/Database/tg/data/m01auto.csv
+++ b/Database/tg/data/m01auto.csv
@@ -1,3633 +1,3633 @@
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diff --git a/Database/tg/fortran/EXT_IN.TXT b/Database/tg/fortran/EXT_IN.TXT
index 6947bdc..aa42986 100644
--- a/Database/tg/fortran/EXT_IN.TXT
+++ b/Database/tg/fortran/EXT_IN.TXT
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diff --git a/Database/tg/fortran/subzone_tg_data.txt b/Database/tg/fortran/subzone_tg_data.txt
new file mode 100644
index 0000000..8e4784b
--- /dev/null
+++ b/Database/tg/fortran/subzone_tg_data.txt
@@ -0,0 +1,17419 @@
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+17373,0.481,0.874,5.93
+17374,0.627,0.933,1.1
+17375,0.308,0.888,2.36
+17376,0.557,0.862,0.41
+17377,0.309,0.888,0.27
+17378,0.522,0.884,0
+17379,0.627,0.923,0
+17380,0.627,0.899,0
+17381,0.441,0.906,6.14
+17382,0.584,0.963,1.49
+17383,0.464,0.947,0.88
+17384,0.549,0.898,0.16
+17385,0.537,0.837,3.99
+17386,0.512,0.946,0
+17387,0.62,0.866,6.12
+17388,0.512,0.946,0
+17389,0.564,0.891,1.83
+17390,0.477,0.911,1.37
+17391,0.512,0.946,0.13
+17392,0.512,0.945,0
+17393,0.513,0.945,0.25
+17394,0.505,0.807,0
+17395,0.621,0.93,1.13
+17396,0.438,0.816,0
+17397,0.483,0.902,1.29
+17398,0.437,0.817,0
+17399,0.568,0.86,0
+17400,0.521,0.878,0
+17401,0.605,0.947,0.81
+17402,0.473,0.9,0
+17403,0.473,0.9,0
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diff --git a/Database/tg/scripts/urbansim_update_tg_input_files.py b/Database/tg/scripts/urbansim_update_tg_input_files.py
index 49d963c..da124fa 100644
--- a/Database/tg/scripts/urbansim_update_tg_input_files.py
+++ b/Database/tg/scripts/urbansim_update_tg_input_files.py
@@ -45,10 +45,7 @@
 hhtypeCat_file = fortran_path / 'tg_hhtype_lookup.csv'
 hhvtypeCat_file = fortran_path / 'tg_hhvtype_lookup.csv'
 geog_file  = fortran_path / 'GEOG_IN.TXT'
-# -- files renamed
-attr_r = fortran_path / 'ATTR_INr.TXT'
-hh_r = fortran_path / 'HH_INr.TXT'
-popsyn_r = fortran_path / 'POPSYN_HHr.CSV'
+sz_data = fortran_path / 'subzone_tg_data.txt'
 
 # ----------------------------------------------------------------------------
 #  Output files.
@@ -91,15 +88,6 @@
 # ----------------------------------------------------------------------------
 #  Rename existing TG files prior to update.
 # ----------------------------------------------------------------------------  
-origFiles = (attr_file, hh_file, popsyn_file)
-renamedFiles = (attr_r, hh_r, popsyn_r)
-x = 0
-for f in origFiles:
-	if os.path.exists(renamedFiles[x]):
-		os.remove(renamedFiles[x])
-	os.rename(origFiles[x],renamedFiles[x])
-	x += 1
-
 if os.path.exists(hhZip_file):
 	os.remove(hhZip_file)
 if os.path.exists(perZip_file):
@@ -349,22 +337,14 @@
 print(" --> Total Subzones: {0:,}".format(szs.shape[0]))
 print('  --> QC: Households in subzone file: {0:,}'.format(szs['total_households'].sum()))
 ## -- Read in original ATTR_IN to get highEarn -- ##
-jobs = pd.read_csv(attr_r, sep=',', header=None, usecols=[0, 3])	
+jobs = pd.read_csv(sz_data, sep=',', header=None, usecols=[0, 1], skiprows=1)	
 jobs.columns=['subzone_id','highEarn']
+jobs['subzone_id']=jobs['subzone_id'].astype(int)
 ## -- Read in original HH_IN to get private auto commute share and sidewalk density-- ##
 # read the HH_IN file in to determine its vintage
-test = pd.read_csv(hh_r, sep=',', header=None)								
-if len(test.columns) == 9:
-	# ON TO 2050 plan HH_IN.TXT file format (pre-c22q2)
-	szhh = pd.read_csv(hh_r, sep=',', header=None, usecols=[0, 7, 8])		
-elif len(test.columns) == 36:
-	# ON TO 2050 Plan Update HH_IN.TXT file format (begin c22q2)
-	szhh = pd.read_csv(hh_r, sep=',', header=None, usecols=[0, 34, 35])		
-else:
-	# 2026 LRTP HH_IN.TXT file format (begin c26q2)	
-	szhh = pd.read_csv(hh_r, sep=',', header=None, usecols=[0, 12, 13])		
-
+szhh = pd.read_csv(sz_data, sep=',', header=None, usecols=[0,2,3], skiprows=1)								
 szhh.columns=['subzone_id','commuteShare','pef']
+szhh['subzone_id']=szhh['subzone_id'].astype(int)
 ## -- Merge files -- ##
 szData = szs.merge(jobs, how='left', on='subzone_id', copy=False)
 szData = szData.merge(szhh, how='left', on='subzone_id', copy=False)
@@ -418,12 +398,6 @@
 								  szData['jobs_retail_44_45'].max(),
 								  szData['jobs_retail_44_45'].mean()))      
     
-x = 0
-for f in renamedFiles:
-	if os.path.exists(renamedFiles[x]):
-		os.remove(renamedFiles[x])
-	x += 1
-
 # ----------------------------------------------------------------------------
 #  Write report file.
 # ----------------------------------------------------------------------------