diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 1068c8e99..420a278c3 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -1,4 +1,4 @@
-name: Build Package and Test Source Code [Python 3.9, 3.10, 3.11]
+name: Build Package and Test Source Code [Python 3.9, 3.10, 3.11, 3.12]
 
 on: [push, pull_request]
 
@@ -8,7 +8,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, windows-latest]
-        python-version: [3.9, '3.10', '3.11']
+        python-version: [3.9, '3.10', '3.11', '3.12']
 
     steps:
       - name: Checkout
diff --git a/MANIFEST.in b/MANIFEST.in
index 881f00830..e74b337ce 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -8,3 +8,4 @@ include taxcalc/puf_weights.csv.gz
 include taxcalc/puf_ratios.csv
 include taxcalc/records_variables.json
 include taxcalc/tmd_weights.csv.gz
+include taxcalc/tmd_growfactors.csv
diff --git a/conda.recipe/meta.yaml b/conda.recipe/meta.yaml
index 2c31dade0..a3c721b33 100755
--- a/conda.recipe/meta.yaml
+++ b/conda.recipe/meta.yaml
@@ -8,22 +8,22 @@ build:
 
 requirements:
   build:
-    - "python>=3.9, <3.12"
+    - "python>=3.9, <3.13"
     - "numpy>=1.20"
     - "pandas>=2.2"
     - "bokeh>=2.4"
-    - "paramtools>=0.18.0"
+    - "paramtools>=0.18.2"
     - numba
     - curl
     - openpyxl
     - behresp
 
   run:
-    - "python>=3.9, <3.12"
+    - "python>=3.9, <3.13"
     - "numpy>=1.20"
     - "pandas>=2.2"
     - "bokeh>=2.4"
-    - "paramtools>=0.18.0"
+    - "paramtools>=0.18.2"
     - numba
     - curl
     - openpyxl
diff --git a/docs/contributing/dependencies.md b/docs/contributing/dependencies.md
index 3dd092d49..efc71b8d3 100644
--- a/docs/contributing/dependencies.md
+++ b/docs/contributing/dependencies.md
@@ -2,8 +2,8 @@
 
 ## Python
 
-Tax-Calculator currently runs on Python 3.9, 3.10, and 3.11.
-We generally support the three latest major Python releases.
+Tax-Calculator currently runs on Python 3.9, 3.10, 3.11, and 3.12.
+We generally support at least the three latest major Python releases.
 
 Updating the Python version requires modifying the following files:
 * `.github/workflows/*.yml`
diff --git a/docs/usage/starting.md b/docs/usage/starting.md
index 06f287eb6..254e535d2 100644
--- a/docs/usage/starting.md
+++ b/docs/usage/starting.md
@@ -2,9 +2,9 @@ Getting started
 ===============
 
 Tax-Calculator packages are available for Windows, Mac, and Linux computers
-that have the free Anaconda Python 3.9, 3.10, or 3.11 distribution installed.
-You can use Tax-Calculator without doing any Python programming, but the
-Anaconda distribution is required for Tax-Calculator to run.
+that have the free Anaconda Python 3.9, 3.10, 3.11, or 3.12 distribution
+installed.  You can use Tax-Calculator without doing any Python programming,
+but the Anaconda distribution is required for Tax-Calculator to run.
 Take the following four steps to get started.
 
 ## Install Anaconda Python
diff --git a/environment.yml b/environment.yml
index e36fe031b..c32c15dcb 100644
--- a/environment.yml
+++ b/environment.yml
@@ -2,11 +2,11 @@ name: taxcalc-dev
 channels:
   - conda-forge
 dependencies:
-- "python>=3.9, <3.12"
+- "python>=3.9, <3.13"
 - "numpy>=1.20"
 - "pandas>=2.2"
 - "bokeh>=2.4"
-- "paramtools>=0.18.0"
+- "paramtools>=0.18.2"
 - numba
 - curl
 - pytest
diff --git a/taxcalc.egg-info/SOURCES.txt b/taxcalc.egg-info/SOURCES.txt
index b2bac2eb9..b9685d567 100644
--- a/taxcalc.egg-info/SOURCES.txt
+++ b/taxcalc.egg-info/SOURCES.txt
@@ -24,6 +24,7 @@ taxcalc/puf_weights.csv.gz
 taxcalc/records.py
 taxcalc/records_variables.json
 taxcalc/taxcalcio.py
+taxcalc/tmd_growfactors.csv
 taxcalc/tmd_weights.csv.gz
 taxcalc/utils.py
 taxcalc/utilsprvt.py
diff --git a/taxcalc/growfactors.py b/taxcalc/growfactors.py
index 435fe5149..336d8ae74 100644
--- a/taxcalc/growfactors.py
+++ b/taxcalc/growfactors.py
@@ -19,7 +19,7 @@ class GrowFactors():
     ----------
     growfactors_filename: None or string
         string is path to the CSV file in which grow factors reside;
-        default value of None uses file containing baseline grow factors.
+        default value of None uses file containing puf/cps grow factors.
 
     Raises
     ------
@@ -34,10 +34,11 @@ class instance: GrowFactors
     Notes
     -----
     Typical usage is "gfactor = GrowFactors()", which produces an object
-    containing baseline growth factors in the GrowFactors.FILE_NAME file.
+    containing baseline growth factors in the GrowFactors.FILE_NAME file,
+    which is for use with puf and cps data from the taxdata repository.
     """
 
-    FILE_NAME = 'growfactors.csv'
+    PACKAGE_FILE_NAMES = ['growfactors.csv', 'tmd_growfactors.csv']
     FILE_PATH = os.path.abspath(os.path.dirname(__file__))
 
     VALID_NAMES = set(['ABOOK', 'ACGNS', 'ACPIM', 'ACPIU',
@@ -53,15 +54,23 @@ def __init__(self, growfactors_filename=None):
         # read grow factors from specified growfactors_filename
         gfdf = pd.DataFrame()
         if growfactors_filename is None:
-            # read baseline growfactor from package
-            gfdf = read_egg_csv(GrowFactors.FILE_NAME,
+            # read puf/cps growfactors from package
+            gfdf = read_egg_csv(GrowFactors.PACKAGE_FILE_NAMES[0],
                                 index_col='YEAR')  # pragma: no cover
         elif isinstance(growfactors_filename, str):
-            if os.path.isfile(growfactors_filename):
-                gfdf = pd.read_csv(growfactors_filename, index_col='YEAR')
-            else:  # file does not exist
-                msg = f'growfactors file {growfactors_filename} does not exist'
-                raise ValueError(msg)
+            if growfactors_filename in GrowFactors.PACKAGE_FILE_NAMES:
+                # read growfactors from package
+                gfdf = read_egg_csv(growfactors_filename,
+                                    index_col='YEAR')  # pragma: no cover
+            else:
+                if os.path.isfile(growfactors_filename):
+                    gfdf = pd.read_csv(growfactors_filename, index_col='YEAR')
+                else:  # file does not exist
+                    msg = (
+                        f'growfactors file {growfactors_filename} '
+                        'does not exist'
+                    )
+                    raise ValueError(msg)
         else:
             raise ValueError('growfactors_filename is not a string')
         assert isinstance(gfdf, pd.DataFrame)
@@ -156,7 +165,6 @@ def update(self, name, year, diff):
             msg = 'cannot update growfactors after they have been used'
             raise ValueError(msg)
         assert name in GrowFactors.VALID_NAMES
-        assert year >= self.first_year
-        assert year <= self.last_year
-        assert isinstance(diff, float)
-        self.gfdf.loc[year, name] += diff
+        if year >= self.first_year and year <= self.last_year:
+            assert isinstance(diff, float)
+            self.gfdf.loc[year, name] += diff
diff --git a/taxcalc/records.py b/taxcalc/records.py
index fedec143f..01c4e87e6 100644
--- a/taxcalc/records.py
+++ b/taxcalc/records.py
@@ -117,6 +117,7 @@ class instance: Records
     CPS_WEIGHTS_FILENAME = 'cps_weights.csv.gz'
     CPS_RATIOS_FILENAME = None
     TMD_WEIGHTS_FILENAME = 'tmd_weights.csv.gz'
+    TMD_GROWFACTORS_FILENAME = 'tmd_growfactors.csv'
     TMD_RATIOS_FILENAME = None
     CODE_PATH = os.path.abspath(os.path.dirname(__file__))
     VARINFO_FILE_NAME = 'records_variables.json'
@@ -226,7 +227,7 @@ def cps_constructor(data=None,
 
     @staticmethod
     def tmd_constructor(data,  # path to tmd.csv file or dataframe
-                        gfactors=GrowFactors(),
+                        gfactors=TMD_GROWFACTORS_FILENAME,
                         exact_calculations=False):  # pragma: no cover
         """
         Static method returns a Records object instantiated with TMD
diff --git a/taxcalc/taxcalcio.py b/taxcalc/taxcalcio.py
index e72d46b66..ee99e5ec5 100644
--- a/taxcalc/taxcalcio.py
+++ b/taxcalc/taxcalcio.py
@@ -251,7 +251,12 @@ def init(self, input_data, tax_year, baseline, reform, assump,
         except paramtools.ValidationError as valerr_msg:
             self.errmsg += valerr_msg.__str__()
         # create GrowFactors base object that incorporates gdiff_baseline
-        gfactors_base = GrowFactors()
+        if self.tmd_input_data:
+            gfactors_base = GrowFactors(  # pragma: no cover
+                Records.TMD_GROWFACTORS_FILENAME
+            )
+        else:
+            gfactors_base = GrowFactors()
         gdiff_baseline.apply_to(gfactors_base)
         # specify gdiff_response object
         gdiff_response = GrowDiff()
@@ -260,7 +265,12 @@ def init(self, input_data, tax_year, baseline, reform, assump,
         except paramtools.ValidationError as valerr_msg:
             self.errmsg += valerr_msg.__str__()
         # create GrowFactors ref object that has all gdiff objects applied
-        gfactors_ref = GrowFactors()
+        if self.tmd_input_data:
+            gfactors_ref = GrowFactors(  # pragma: no cover
+                Records.TMD_GROWFACTORS_FILENAME
+            )
+        else:
+            gfactors_ref = GrowFactors()
         gdiff_baseline.apply_to(gfactors_ref)
         gdiff_response.apply_to(gfactors_ref)
         # create Policy objects:
diff --git a/taxcalc/tmd_growfactors.csv b/taxcalc/tmd_growfactors.csv
new file mode 100644
index 000000000..9435042a6
--- /dev/null
+++ b/taxcalc/tmd_growfactors.csv
@@ -0,0 +1,55 @@
+YEAR,ATXPY,ASCHF,ABOOK,ACPIU,ACPIM,AWAGE,ASCHCI,ASCHCL,ASCHEI,ASCHEL,AINTS,ADIVS,ACGNS,ASOCSEC,AUCOMP,AIPD,ABENOTHER,ABENMCARE,ABENMCAID,ABENSSI,ABENSNAP,ABENWIC,ABENHOUSING,ABENTANF,ABENVET
+2021,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2022,1.014347,1.742914,1.047552,1.07229,1.040311,1.076282,1.022527,1.022546,1.047553,1.047566,1.049118,1.042358,0.631565,1.04749,0.152665,1.022138,1.030159,1.048769,1.047573,0.999851,1.0,1.002545,1.034942,1.0,1.0
+2023,1.050108,0.653145,1.091056,1.05402,1.004761,1.050035,1.013156,1.013121,1.091037,1.091047,1.026196,1.126711,1.0525,1.085497,0.748857,1.058072,1.030193,1.050822,1.048715,1.000448,1.0,1.003807,1.034968,1.0,1.0
+2024,1.046242,0.895528,1.007166,1.0255,1.01407,1.040377,1.0397,1.03963,1.007187,1.007157,1.156028,1.023049,0.932271,1.052921,1.337549,1.054081,1.030334,1.048426,1.051767,0.99776,1.0,1.002528,1.034951,1.0,1.0
+2025,1.040442,0.963117,1.020457,1.02198,0.958663,1.038977,1.037682,1.037745,1.020415,1.020444,1.091746,1.02538,0.97747,1.031721,1.154874,1.047914,1.030635,1.046248,1.052213,1.002245,1.0,1.003783,1.034897,1.0,1.0
+2026,1.039294,0.987094,1.014705,1.02074,1.014023,1.035978,1.037783,1.037762,1.014711,1.014716,1.098184,1.019802,0.970235,1.030992,1.035291,1.046856,1.030633,1.072236,1.0,0.999552,1.0,1.002513,1.034808,1.0,1.0
+2027,1.037119,0.998822,1.017535,1.01946,1.013312,1.033569,1.03414,1.034138,1.017568,1.017583,1.066606,1.013266,0.993714,1.031791,1.045541,1.044372,1.030788,1.0,1.0,1.0,1.0,1.002506,1.034863,1.0,1.0
+2028,1.036799,1.006582,1.023966,1.01942,1.013356,1.033042,1.031594,1.03158,1.023985,1.02393,1.050716,1.021542,1.009158,1.03344,1.043558,1.043967,1.030942,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2029,1.035913,1.010333,1.028149,1.01966,1.013612,1.033365,1.030869,1.030888,1.028085,1.028143,1.03013,1.032091,1.018962,1.033664,1.045739,1.042825,1.031131,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2030,1.036423,1.01018,1.024121,1.01977,1.013855,1.03321,1.030563,1.030595,1.02417,1.024128,1.036979,1.032934,1.024538,1.034401,1.043738,1.043174,1.03133,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2031,1.036362,1.010259,1.024733,1.01991,1.014016,1.032812,1.031233,1.03124,1.024699,1.024734,1.039197,1.032793,1.027842,1.036645,1.038241,1.042951,1.03151,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2032,1.036409,1.009979,1.028,1.01999,1.014306,1.032126,1.032334,1.032295,1.028004,1.027983,1.04014,1.03261,1.029719,1.036435,1.031319,1.042807,1.031644,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2033,1.035793,1.008195,1.02813,1.02002,1.014309,1.031481,1.033961,1.033991,1.028128,1.02811,1.031669,1.03246,1.030798,1.037554,1.028443,1.042009,1.031857,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2034,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2035,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2036,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2037,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2038,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2039,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2040,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2041,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2042,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2043,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2044,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2045,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2046,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2047,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2048,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2049,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2050,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2051,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2052,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2053,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2054,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2055,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2056,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2057,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2058,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2059,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2060,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2061,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2062,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2063,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2064,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2065,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2066,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2067,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2068,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2069,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2070,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2071,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2072,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2073,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
+2074,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0