diff --git a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py
index dba9d06b..e7cd5e96 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py
@@ -619,16 +619,6 @@ class CensusACSETL(ExtractTransformLoad):
             lower=0
         )
 
-        # All values should have a value at this point
-        assert (
-            df[
-                self.ADJUSTED_AND_IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME
-            ]
-            .isna()
-            .sum()
-            == 0
-        ), "Error: not all values were filled..."
-
         logger.info("Renaming columns...")
         df = df.rename(
             columns={
diff --git a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py
index 17180026..692ac243 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py
@@ -1,6 +1,7 @@
-from typing import Any, List, NamedTuple, Tuple
 import pandas as pd
 import geopandas as gpd
+from data_pipeline.score.field_names import GEOID_TRACT_FIELD
+import numpy as np
 
 from data_pipeline.utils import get_module_logger
 
@@ -9,53 +10,15 @@ from data_pipeline.utils import get_module_logger
 logger = get_module_logger(__name__)
 
 
-def _get_fips_mask(
-    geo_df: gpd.GeoDataFrame,
-    row: gpd.GeoSeries,
-    fips_digits: int,
-    geoid_field: str = "GEOID10_TRACT",
-) -> pd.Series:
-    return (
-        geo_df[geoid_field].str[:fips_digits] == row[geoid_field][:fips_digits]
-    )
-
-
-def _get_neighbor_mask(
-    geo_df: gpd.GeoDataFrame, row: gpd.GeoSeries
-) -> pd.Series:
-    return geo_df["geometry"].touches(row["geometry"])
-
-
-def _choose_best_mask(
-    geo_df: gpd.GeoDataFrame,
-    masks_in_priority_order: List[pd.Series],
-    column_to_impute: str,
-) -> pd.Series:
-    for mask in masks_in_priority_order:
-        if any(geo_df[mask][column_to_impute].notna()):
-            return mask
-    raise Exception("No mask found")
-
-
 def _prepare_dataframe_for_imputation(
-    impute_var_named_tup_list: List[NamedTuple],
+    columns_to_impute: list,
     geo_df: gpd.GeoDataFrame,
     geoid_field: str = "GEOID10_TRACT",
-) -> Tuple[Any, gpd.GeoDataFrame]:
-    imputing_cols = [
-        impute_var_pair.raw_field_name
-        for impute_var_pair in impute_var_named_tup_list
-    ]
-
-    # prime column to exist
-    for impute_var_pair in impute_var_named_tup_list:
-        geo_df[impute_var_pair.imputed_field_name] = geo_df[
-            impute_var_pair.raw_field_name
-        ].copy()
+):
 
     # generate a list of tracts for which at least one of the imputation
     # columns is null
-    tract_list = geo_df[geo_df[imputing_cols].isna().any(axis=1)][
+    tract_list = geo_df[geo_df[columns_to_impute].isna().any(axis=1)][
         geoid_field
     ].unique()
 
@@ -66,15 +29,36 @@ def _prepare_dataframe_for_imputation(
     return tract_list, geo_df
 
 
+def _get_state_and_county_fills(df, tract_list, impute_var_pair_list):
+    # When there is no neighbor average, we take the county-level average or state-level averages
+    for impute_var_pair in impute_var_pair_list:
+        # Fill missings with county means
+        df[impute_var_pair.imputed_field_name] = np.where(
+            (df[impute_var_pair.imputed_field_name].isna())
+            & (df[GEOID_TRACT_FIELD].isin(tract_list)),
+            df.groupby(df[GEOID_TRACT_FIELD].str[:5])[
+                impute_var_pair.raw_field_name
+            ].transform(np.mean),
+            df[impute_var_pair.imputed_field_name],
+        )
+        # Fill the remaining missings with state means
+        df[impute_var_pair.imputed_field_name] = np.where(
+            (df[impute_var_pair.imputed_field_name].isna())
+            & (df[GEOID_TRACT_FIELD].isin(tract_list)),
+            df.groupby(df[GEOID_TRACT_FIELD].str[:2])[
+                impute_var_pair.raw_field_name
+            ].transform(np.mean),
+            df[impute_var_pair.imputed_field_name],
+        )
+    return df
+
+
 def calculate_income_measures(
     impute_var_named_tup_list: list,
     geo_df: gpd.GeoDataFrame,
     geoid_field: str,
 ) -> pd.DataFrame:
-    """Impute values based on geographic neighbors
-
-    We only want to check neighbors a single time, so all variables
-    that we impute get imputed here.
+    """Impute values based on geographic neighbors or county fields.
 
     Takes in:
         required:
@@ -84,50 +68,58 @@ def calculate_income_measures(
 
     Returns: non-geometry pd.DataFrame
     """
+
+    raw_fields = []
+    imputed_fields = []
+    rename_dict = {}
+    for impute_var in impute_var_named_tup_list:
+        raw_fields.append(impute_var.raw_field_name)
+        imputed_fields.append(impute_var.imputed_field_name)
+
+        assert (
+            impute_var.raw_field_name not in rename_dict
+        ), f"Error: trying to impute {impute_var.raw_field_name} twice"
+        rename_dict[impute_var.raw_field_name] = impute_var.imputed_field_name
+
     # Determine where to impute variables and fill a column with nulls
     tract_list, geo_df = _prepare_dataframe_for_imputation(
-        impute_var_named_tup_list=impute_var_named_tup_list,
+        columns_to_impute=raw_fields,
         geo_df=geo_df,
         geoid_field=geoid_field,
     )
 
-    # Iterate through the dataframe to impute in place
-    ## TODO: We should probably convert this to a spatial join now that we are doing >1 imputation and it's taking a lot
-    ## of time, but thinking through how to do this while maintaining the masking will take some time. I think the best
-    ## way would be to (1) spatial join to all neighbors, and then (2) iterate to take the "smallest" set of neighbors...
-    ## but haven't implemented it yet.
-    for index, row in geo_df.iterrows():
-        if row[geoid_field] in tract_list:
-            neighbor_mask = _get_neighbor_mask(geo_df, row)
-            county_mask = _get_fips_mask(
-                geo_df=geo_df, row=row, fips_digits=5, geoid_field=geoid_field
-            )
-            ## TODO: Did CEQ decide to cut this?
-            state_mask = _get_fips_mask(
-                geo_df=geo_df, row=row, fips_digits=2, geoid_field=geoid_field
-            )
+    missing_tracts_df = geo_df[geo_df[GEOID_TRACT_FIELD].isin(tract_list)]
 
-            # Impute fields for every row missing at least one value using the best possible set of neighbors
-            # Note that later, we will pull raw.fillna(imputed), so the mechanics of this step aren't critical
-            for impute_var_pair in impute_var_named_tup_list:
-                mask_to_use = _choose_best_mask(
-                    geo_df=geo_df,
-                    masks_in_priority_order=[
-                        neighbor_mask,
-                        county_mask,
-                        state_mask,
-                    ],
-                    column_to_impute=impute_var_pair.raw_field_name,
-                )
-                geo_df.loc[index, impute_var_pair.imputed_field_name] = geo_df[
-                    mask_to_use
-                ][impute_var_pair.raw_field_name].mean()
+    # Perform as spatial merge to save time
+    spatially_joined_df = missing_tracts_df[
+        [GEOID_TRACT_FIELD, "geometry"]
+    ].sjoin(
+        geo_df[raw_fields + ["geometry"]],
+        predicate="touches",
+    )
 
-    logger.info("Casting geodataframe as a typical dataframe")
+    # First take the neighbor averages
+    neighbor_averages_df = (
+        spatially_joined_df.groupby(GEOID_TRACT_FIELD)[raw_fields]
+        .mean()
+        .reset_index()
+        .rename(columns=rename_dict)
+    )
+
+    logger.info("Merging and casting geodataframe as a typical dataframe")
     # get rid of the geometry column and cast as a typical df
     df = pd.DataFrame(
-        geo_df[[col for col in geo_df.columns if col != "geometry"]]
+        geo_df[[col for col in geo_df.columns if col != "geometry"]].merge(
+            neighbor_averages_df,
+            on=[GEOID_TRACT_FIELD],
+            how="outer",
+        )
     )
+    logger.info(df.head())
+
+    logger.info("Filling with county or state")
+    df = _get_state_and_county_fills(df, tract_list, impute_var_named_tup_list)
+    logger.info(df.head())
 
     # finally, return the df
     return df
diff --git a/data/data-pipeline/data_pipeline/etl/sources/geo_utils.py b/data/data-pipeline/data_pipeline/etl/sources/geo_utils.py
index 87ce119f..ddb9fd70 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/geo_utils.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/geo_utils.py
@@ -6,6 +6,7 @@ from functools import lru_cache
 import geopandas as gpd
 from data_pipeline.utils import get_module_logger
 from .census.etl import CensusETL
+from data_pipeline.score import field_names
 
 logger = get_module_logger(__name__)
 
@@ -27,7 +28,9 @@ def get_tract_geojson(
         else:
             logger.debug("Loading existing tract geojson")
     tract_data = gpd.read_file(GEOJSON_PATH, include_fields=["GEOID10"])
-    tract_data.rename(columns={"GEOID10": "GEOID10_TRACT"}, inplace=True)
+    tract_data.rename(
+        columns={"GEOID10": field_names.GEOID_TRACT_FIELD}, inplace=True
+    )
     return tract_data
 
 
@@ -55,7 +58,7 @@ def add_tracts_for_geometries(
     ), f"Dataframe must be projected to {tract_data.crs}"
     df = gpd.sjoin(
         df,
-        tract_data[["GEOID10_TRACT", "geometry"]],
+        tract_data[[field_names.GEOID_TRACT_FIELD, "geometry"]],
         how="inner",
         op="intersects",
     )
diff --git a/data/data-pipeline/poetry.lock b/data/data-pipeline/poetry.lock
index b7e685fb..d778c20e 100644
--- a/data/data-pipeline/poetry.lock
+++ b/data/data-pipeline/poetry.lock
@@ -67,16 +67,19 @@ tests = ["pytest"]
 
 [[package]]
 name = "astroid"
-version = "2.11.7"
+version = "2.12.5"
 description = "An abstract syntax tree for Python with inference support."
 category = "main"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7.2"
 
 [package.dependencies]
 lazy-object-proxy = ">=1.4.0"
 typing-extensions = {version = ">=3.10", markers = "python_version < \"3.10\""}
-wrapt = ">=1.11,<2"
+wrapt = [
+    {version = ">=1.11,<2", markers = "python_version < \"3.11\""},
+    {version = ">=1.14,<2", markers = "python_version >= \"3.11\""},
+]
 
 [[package]]
 name = "atomicwrites"
@@ -209,7 +212,7 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.1.0"
+version = "2.1.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
@@ -267,15 +270,15 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "configparser"
-version = "5.2.0"
-description = "Updated configparser from Python 3.8 for Python 2.6+."
+version = "5.3.0"
+description = "Updated configparser from stdlib for earlier Pythons."
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "types-backports", "pytest-black (>=0.3.7)", "pytest-mypy"]
+docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "types-backports", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
 name = "cycler"
@@ -322,7 +325,7 @@ graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "distlib"
-version = "0.3.5"
+version = "0.3.6"
 description = "Distribution utilities"
 category = "dev"
 optional = false
@@ -439,7 +442,7 @@ pyflakes = ">=2.3.0,<2.4.0"
 
 [[package]]
 name = "fonttools"
-version = "4.35.0"
+version = "4.37.1"
 description = "Tools to manipulate font files"
 category = "main"
 optional = false
@@ -486,7 +489,7 @@ python-versions = ">=3.5"
 name = "importlib-metadata"
 version = "4.12.0"
 description = "Read metadata from Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 
@@ -536,7 +539,7 @@ toml = {version = ">=0.10.2", markers = "python_version > \"3.6\""}
 
 [[package]]
 name = "ipykernel"
-version = "6.15.1"
+version = "6.15.2"
 description = "IPython Kernel for Jupyter"
 category = "main"
 optional = false
@@ -556,7 +559,7 @@ tornado = ">=6.1"
 traitlets = ">=5.1.0"
 
 [package.extras]
-test = ["pytest (>=6.0)", "pytest-timeout", "pytest-cov", "pre-commit", "ipyparallel", "flaky"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest-cov", "pytest-timeout", "pytest (>=6.0)"]
 
 [[package]]
 name = "ipython"
@@ -600,22 +603,21 @@ python-versions = "*"
 
 [[package]]
 name = "ipywidgets"
-version = "7.7.1"
-description = "IPython HTML widgets for Jupyter"
+version = "8.0.1"
+description = "Jupyter interactive widgets"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [package.dependencies]
 ipykernel = ">=4.5.1"
-ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""}
-ipython-genutils = ">=0.2.0,<0.3.0"
-jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""}
+ipython = ">=6.1.0"
+jupyterlab-widgets = ">=3.0,<4.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=3.6.0,<3.7.0"
+widgetsnbextension = ">=4.0,<5.0"
 
 [package.extras]
-test = ["mock", "pytest-cov", "pytest (>=3.6.0)"]
+test = ["jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
 
 [[package]]
 name = "isort"
@@ -670,7 +672,7 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "json5"
-version = "0.9.9"
+version = "0.9.10"
 description = "A Python implementation of the JSON5 data format."
 category = "dev"
 optional = false
@@ -681,7 +683,7 @@ dev = ["hypothesis"]
 
 [[package]]
 name = "jsonschema"
-version = "4.10.0"
+version = "4.15.0"
 description = "An implementation of JSON Schema validation for Python"
 category = "main"
 optional = false
@@ -715,7 +717,7 @@ qtconsole = "*"
 
 [[package]]
 name = "jupyter-client"
-version = "7.3.4"
+version = "7.3.5"
 description = "Jupyter protocol implementation and client libraries"
 category = "main"
 optional = false
@@ -727,12 +729,12 @@ jupyter-core = ">=4.9.2"
 nest-asyncio = ">=1.5.4"
 python-dateutil = ">=2.8.2"
 pyzmq = ">=23.0"
-tornado = ">=6.0"
+tornado = ">=6.2"
 traitlets = "*"
 
 [package.extras]
-test = ["pytest-timeout", "pytest-cov", "pytest-asyncio (>=0.18)", "pytest", "pre-commit", "mypy", "ipython", "ipykernel (>=6.5)", "coverage", "codecov"]
-doc = ["sphinxcontrib-github-alt", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "myst-parser", "ipykernel"]
+doc = ["ipykernel", "myst-parser", "sphinx-rtd-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt"]
+test = ["codecov", "coverage", "ipykernel (>=6.5)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-console"
@@ -913,7 +915,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.15.0"
+version = "2.15.1"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 category = "dev"
 optional = false
@@ -935,11 +937,11 @@ test = ["codecov", "ipykernel", "jupyter-server", "openapi-core (>=0.14.2)", "op
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "1.1.1"
-description = "A JupyterLab extension."
+version = "3.0.2"
+description = "Jupyter interactive widgets for JupyterLab"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [[package]]
 name = "kiwisolver"
@@ -994,7 +996,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "marshmallow"
-version = "3.17.0"
+version = "3.17.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 category = "main"
 optional = false
@@ -1004,9 +1006,9 @@ python-versions = ">=3.7"
 packaging = ">=17.0"
 
 [package.extras]
-dev = ["pytest", "pytz", "simplejson", "mypy (==0.961)", "flake8 (==4.0.1)", "flake8-bugbear (==22.6.22)", "pre-commit (>=2.4,<3.0)", "tox"]
-docs = ["sphinx (==4.5.0)", "sphinx-issues (==3.0.1)", "alabaster (==0.7.12)", "sphinx-version-warning (==1.1.2)", "autodocsumm (==0.2.8)"]
-lint = ["mypy (==0.961)", "flake8 (==4.0.1)", "flake8-bugbear (==22.6.22)", "pre-commit (>=2.4,<3.0)"]
+dev = ["pytest", "pytz", "simplejson", "mypy (==0.971)", "flake8 (==5.0.4)", "flake8-bugbear (==22.8.22)", "pre-commit (>=2.4,<3.0)", "tox"]
+docs = ["sphinx (==5.1.1)", "sphinx-issues (==3.0.1)", "alabaster (==0.7.12)", "sphinx-version-warning (==1.1.2)", "autodocsumm (==0.2.9)"]
+lint = ["mypy (==0.971)", "flake8 (==5.0.4)", "flake8-bugbear (==22.8.22)", "pre-commit (>=2.4,<3.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -1061,7 +1063,7 @@ setuptools_scm = ">=4,<7"
 
 [[package]]
 name = "matplotlib-inline"
-version = "0.1.3"
+version = "0.1.6"
 description = "Inline Matplotlib backend for Jupyter"
 category = "main"
 optional = false
@@ -1080,8 +1082,8 @@ python-versions = "*"
 
 [[package]]
 name = "mistune"
-version = "0.8.4"
-description = "The fastest markdown parser in pure Python"
+version = "2.0.4"
+description = "A sane Markdown parser with useful plugins and renderers"
 category = "main"
 optional = false
 python-versions = "*"
@@ -1171,7 +1173,7 @@ docs = ["myst-parser", "sphinx-rtd-theme", "sphinxcontrib-github-alt", "nbsphinx
 
 [[package]]
 name = "nbclient"
-version = "0.6.6"
+version = "0.6.7"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "main"
 optional = false
@@ -1185,11 +1187,11 @@ traitlets = ">=5.2.2"
 
 [package.extras]
 sphinx = ["autodoc-traits", "mock", "moto", "myst-parser", "Sphinx (>=1.7)", "sphinx-book-theme"]
-test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "ipywidgets (<8.0.0)", "mypy", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"]
+test = ["black", "check-manifest", "flake8", "ipykernel", "ipython", "ipywidgets", "mypy", "nbconvert", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "6.5.3"
+version = "7.0.0"
 description = "Converting Jupyter Notebooks"
 category = "main"
 optional = false
@@ -1199,13 +1201,13 @@ python-versions = ">=3.7"
 beautifulsoup4 = "*"
 bleach = "*"
 defusedxml = "*"
-entrypoints = ">=0.2.2"
+importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
 jinja2 = ">=3.0"
 jupyter-core = ">=4.7"
 jupyterlab-pygments = "*"
 lxml = "*"
-MarkupSafe = ">=2.0"
-mistune = ">=0.8.1,<2"
+markupsafe = ">=2.0"
+mistune = ">=2.0.3,<3"
 nbclient = ">=0.5.0"
 nbformat = ">=5.1"
 packaging = "*"
@@ -1215,10 +1217,12 @@ tinycss2 = "*"
 traitlets = ">=5.0"
 
 [package.extras]
-all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "tornado (>=6.1)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
-docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
+all = ["ipykernel", "ipython", "ipywidgets (>=7)", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pyqtwebengine (>=5.15)", "pytest", "pytest-cov", "pytest-dependency", "sphinx-rtd-theme", "sphinx (==5.0.2)", "tornado (>=6.1)"]
+docs = ["ipython", "nbsphinx (>=0.2.12)", "sphinx-rtd-theme", "sphinx (==5.0.2)"]
+qtpdf = ["pyqtwebengine (>=5.15)"]
+qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
-test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)"]
+test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "pytest", "pytest-cov", "pytest-dependency"]
 webpdf = ["pyppeteer (>=1,<1.1)"]
 
 [[package]]
@@ -1322,7 +1326,7 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
 [[package]]
 name = "pandas"
-version = "1.4.3"
+version = "1.4.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
@@ -1330,16 +1334,16 @@ python-versions = ">=3.8"
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
-    {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
-    {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
     {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
+    {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
 ]
 python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
 
 [package.extras]
-test = ["pytest-xdist (>=1.31)", "pytest (>=6.0)", "hypothesis (>=5.5.3)"]
+test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
 
 [[package]]
 name = "pandas-vet"
@@ -1405,11 +1409,11 @@ testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "pathspec"
-version = "0.9.0"
+version = "0.10.0"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+python-versions = ">=3.7"
 
 [[package]]
 name = "pexpect"
@@ -1537,14 +1541,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pydantic"
-version = "1.9.2"
+version = "1.10.1"
 description = "Data validation and settings management using python type hints"
 category = "main"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.7"
 
 [package.dependencies]
-typing-extensions = ">=3.7.4.3"
+typing-extensions = ">=4.1.0"
 
 [package.extras]
 dotenv = ["python-dotenv (>=0.10.4)"]
@@ -1571,14 +1575,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.14.5"
+version = "2.15.0"
 description = "python code static checker"
 category = "main"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.11.6,<=2.12.0-dev0"
+astroid = ">=2.12.4,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -1733,7 +1737,7 @@ py = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qtconsole"
-version = "5.3.1"
+version = "5.3.2"
 description = "Jupyter Qt console"
 category = "main"
 optional = false
@@ -1750,8 +1754,8 @@ qtpy = ">=2.0.1"
 traitlets = "<5.2.1 || >5.2.1,<5.2.2 || >5.2.2"
 
 [package.extras]
-test = ["pytest-qt", "pytest", "flaky"]
 doc = ["Sphinx (>=1.3)"]
+test = ["flaky", "pytest", "pytest-qt"]
 
 [[package]]
 name = "qtpy"
@@ -1875,7 +1879,7 @@ toml = ["setuptools (>=42)"]
 
 [[package]]
 name = "shapely"
-version = "1.8.2"
+version = "1.8.4"
 description = "Geometric objects, predicates, and operations"
 category = "main"
 optional = false
@@ -2059,7 +2063,7 @@ test = ["pytest", "pre-commit"]
 
 [[package]]
 name = "types-requests"
-version = "2.28.8"
+version = "2.28.9"
 description = "Typing stubs for requests"
 category = "main"
 optional = false
@@ -2070,7 +2074,7 @@ types-urllib3 = "<1.27"
 
 [[package]]
 name = "types-urllib3"
-version = "1.26.22"
+version = "1.26.23"
 description = "Typing stubs for urllib3"
 category = "main"
 optional = false
@@ -2086,7 +2090,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "typing-inspect"
-version = "0.7.1"
+version = "0.8.0"
 description = "Runtime inspection utilities for typing module."
 category = "main"
 optional = false
@@ -2098,16 +2102,16 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "1.26.11"
+version = "1.26.12"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
 
 [package.extras]
+brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
+secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-secure = ["ipaddress", "certifi", "idna (>=2.0.0)", "cryptography (>=1.3.4)", "pyOpenSSL (>=0.14)"]
-brotli = ["brotlipy (>=0.6.0)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 
 [[package]]
 name = "us"
@@ -2122,7 +2126,7 @@ jellyfish = "0.6.1"
 
 [[package]]
 name = "virtualenv"
-version = "20.16.3"
+version = "20.16.4"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@@ -2155,27 +2159,24 @@ python-versions = "*"
 
 [[package]]
 name = "websocket-client"
-version = "1.3.3"
+version = "1.4.0"
 description = "WebSocket client for Python with low level API options"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
-optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
+optional = ["wsaccel", "python-socks"]
+docs = ["sphinx-rtd-theme (>=0.5)", "Sphinx (>=3.4)"]
 
 [[package]]
 name = "widgetsnbextension"
-version = "3.6.1"
-description = "IPython HTML widgets for Jupyter"
+version = "4.0.2"
+description = "Jupyter interactive widgets for Jupyter Notebook"
 category = "main"
 optional = false
-python-versions = "*"
-
-[package.dependencies]
-notebook = ">=4.4.1"
+python-versions = ">=3.7"
 
 [[package]]
 name = "wrapt"
@@ -2283,10 +2284,7 @@ cligj = [
     {file = "cligj-0.7.2.tar.gz", hash = "sha256:a4bc13d623356b373c2c27c53dbd9c68cae5d526270bfa71f6c6fa69669c6b27"},
 ]
 colorama = []
-configparser = [
-    {file = "configparser-5.2.0-py3-none-any.whl", hash = "sha256:e8b39238fb6f0153a069aa253d349467c3c4737934f253ef6abac5fe0eca1e5d"},
-    {file = "configparser-5.2.0.tar.gz", hash = "sha256:1b35798fdf1713f1c3139016cfcbc461f09edbf099d1fb658d4b7479fcaa3daa"},
-]
+configparser = []
 cycler = [
     {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
     {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
@@ -2490,18 +2488,12 @@ marshmallow-enum = [
     {file = "marshmallow_enum-1.5.1-py2.py3-none-any.whl", hash = "sha256:57161ab3dbfde4f57adeb12090f39592e992b9c86d206d02f6bd03ebec60f072"},
 ]
 matplotlib = []
-matplotlib-inline = [
-    {file = "matplotlib-inline-0.1.3.tar.gz", hash = "sha256:a04bfba22e0d1395479f866853ec1ee28eea1485c1d69a6faf00dc3e24ff34ee"},
-    {file = "matplotlib_inline-0.1.3-py3-none-any.whl", hash = "sha256:aed605ba3b72462d64d475a21a9296f400a19c4f74a31b59103d2a99ffd5aa5c"},
-]
+matplotlib-inline = []
 mccabe = [
     {file = "mccabe-0.6.1-py2.py3-none-any.whl", hash = "sha256:ab8a6258860da4b6677da4bd2fe5dc2c659cff31b3ee4f7f5d64e79735b80d42"},
     {file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
 ]
-mistune = [
-    {file = "mistune-0.8.4-py2.py3-none-any.whl", hash = "sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4"},
-    {file = "mistune-0.8.4.tar.gz", hash = "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e"},
-]
+mistune = []
 munch = [
     {file = "munch-2.5.0-py2.py3-none-any.whl", hash = "sha256:6f44af89a2ce4ed04ff8de41f70b226b984db10a91dcc7b9ac2efc1c77022fdd"},
     {file = "munch-2.5.0.tar.gz", hash = "sha256:2d735f6f24d4dba3417fa448cae40c6e896ec1fdab6cdb5e6510999758a4dbd2"},
@@ -2568,10 +2560,7 @@ parso = [
     {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"},
     {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
 ]
-pathspec = [
-    {file = "pathspec-0.9.0-py2.py3-none-any.whl", hash = "sha256:7d15c4ddb0b5c802d161efc417ec1a2558ea2653c2e8ad9c19098201dc1c993a"},
-    {file = "pathspec-0.9.0.tar.gz", hash = "sha256:e564499435a2673d586f6b2130bb5b95f04a3ba06f81b8f895b651a3c76aabb1"},
-]
+pathspec = []
 pexpect = [
     {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"},
     {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"},
@@ -2845,11 +2834,7 @@ traitlets = []
 types-requests = []
 types-urllib3 = []
 typing-extensions = []
-typing-inspect = [
-    {file = "typing_inspect-0.7.1-py2-none-any.whl", hash = "sha256:b1f56c0783ef0f25fb064a01be6e5407e54cf4a4bf4f3ba3fe51e0bd6dcea9e5"},
-    {file = "typing_inspect-0.7.1-py3-none-any.whl", hash = "sha256:3cd7d4563e997719a710a3bfe7ffb544c6b72069b6812a02e9b414a8fa3aaa6b"},
-    {file = "typing_inspect-0.7.1.tar.gz", hash = "sha256:047d4097d9b17f46531bf6f014356111a1b6fb821a24fe7ac909853ca2a782aa"},
-]
+typing-inspect = []
 urllib3 = []
 us = [
     {file = "us-2.0.2.tar.gz", hash = "sha256:cb11ad0d43deff3a1c3690c74f0c731cff5b862c73339df2edd91133e1496fbc"},