diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index 0096c02afb8..8423bf44a55 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -149,6 +149,9 @@
     "    def filterByCovid19(self, dataFrame):\n",
     "        return dataFrame[self._isCovid19(dataFrame)]\n",
     "\n",
+    "    def filterByCountry(self, dataFrame, country, countryColumnName):\n",
+    "        return dataFrame[dataFrame[countryColumnName] == country]\n",
+    "\n",
     "    def filterBy(self, dataFrame, manufacturer = None, dose = None):\n",
     "        return dataFrame[self._isManufacturer(dataFrame, manufacturer) & self._isDose(dataFrame, dose)]\n",
     "\n",
@@ -278,6 +281,7 @@
     "                    dataFrame['VAX_DOSE_SERIES'].rename('Dose')\n",
     "                ]))\n",
     "\n",
+    "    # FK-TODO: rename _createDoseTable()\n",
     "    @staticmethod\n",
     "    def _createDoseTable(dataFrame):\n",
     "        doseTable = SummationTableFactory.createSummationTable(\n",
@@ -311,12 +315,25 @@
     "        return internationalLotTable.sort_values(by = 'Severe reports (%)', ascending = False)\n",
     "\n",
     "    @staticmethod\n",
+    "    def createBatchCodeTableByCountry(dataFrame : pd.DataFrame, country):\n",
+    "        dataFrame = DataFrameFilter().filterByCovid19(dataFrame)\n",
+    "        batchCodeTable = InternationalLotTableFactory._createBatchCodeTableByCountry(dataFrame, country)\n",
+    "        return batchCodeTable.sort_values(by = 'Severe reports (%)', ascending = False)\n",
+    "\n",
+    "    @staticmethod\n",
     "    def _createInternationalLotTable(dataFrame):\n",
     "        countryColumnName = 'Country'\n",
-    "        InternationalLotTableFactory._addCountryColumn(dataFrame, countryColumnName = countryColumnName)\n",
+    "        dataFrame = InternationalLotTableFactory._addCountryColumn(dataFrame, countryColumnName = countryColumnName)\n",
     "        return DoseTableFactory._createDoseTable(dataFrame.groupby(dataFrame[countryColumnName]))\n",
     "\n",
     "    @staticmethod\n",
+    "    def _createBatchCodeTableByCountry(dataFrame : pd.DataFrame, country):\n",
+    "        countryColumnName = 'Country'\n",
+    "        dataFrame = InternationalLotTableFactory._addCountryColumn(dataFrame, countryColumnName = countryColumnName)\n",
+    "        dataFrame = DataFrameFilter().filterByCountry(dataFrame, country = country, countryColumnName = countryColumnName)\n",
+    "        return DoseTableFactory._createDoseTable(dataFrame.groupby('VAX_LOT'))\n",
+    "\n",
+    "    @staticmethod\n",
     "    def _addCountryColumn(dataFrame, countryColumnName):\n",
     "        dataFrame[countryColumnName] = dataFrame.apply(\n",
     "            lambda row:\n",
@@ -324,6 +341,7 @@
     "                 splttype = row['SPLTTYPE'],\n",
     "                 default = 'Unknown Country'),\n",
     "            axis = 'columns')\n",
+    "        return dataFrame.astype({countryColumnName: \"string\"})\n",
     "\n",
     "    @staticmethod\n",
     "    def _getCountryNameOfSplttypeOrDefault(splttype, default):\n",
@@ -810,7 +828,40 @@
     "                        'United Kingdom',\n",
     "                        'Unknown Country'\n",
     "                    ],\n",
-    "                    name = 'Country')))\n"
+    "                    dtype = \"string\",\n",
+    "                    name = 'Country')))\n",
+    "\n",
+    "    def test_createBatchCodeTableByCountry(self):\n",
+    "        # Given\n",
+    "        dataFrame = TestHelper.createDataFrame(\n",
+    "            columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE',                  'HOSPITAL', 'ER_VISIT'],\n",
+    "            data = [  [1,      0,          0,         'COVID19',  'MODERNA',  '016M20A', '2',               'GBPFIZER INC2020486806',    0,          0],\n",
+    "                      [1,      0,          0,         'COVID19',  'MODERNA',  '030L20A', '1',               'FRMODERNATX, INC.MOD20224', 0,          0],\n",
+    "                      [1,      1,          1,         'COVID19',  'MODERNA',  '030L20B', '1',               'FRMODERNATX, INC.MOD20224', 0,          0],\n",
+    "                      [0,      1,          1,         'COVID19',  'MODERNA',  '030L20B', '1',               'FRMODERNATX, INC.MOD20224', 0,          0]],\n",
+    "            index = [\n",
+    "                \"1048786\",\n",
+    "                \"1048786\",\n",
+    "                \"4711\",\n",
+    "                \"0815\"])\n",
+    "        \n",
+    "        # When\n",
+    "        batchCodeTable = InternationalLotTableFactory.createBatchCodeTableByCountry(dataFrame, 'France')\n",
+    "\n",
+    "        # Then\n",
+    "        assert_frame_equal(\n",
+    "            batchCodeTable,\n",
+    "            TestHelper.createDataFrame(\n",
+    "                columns = ['Total reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports (%)'],\n",
+    "                data = [  [2,               1,        2,              2,                            (1 + 2 + 2) / 2 * 100],\n",
+    "                          [1,               1,        0,              0,                            (1 + 0 + 0) / 1 * 100]],\n",
+    "                index = pd.Index(\n",
+    "                    [\n",
+    "                        '030L20B',\n",
+    "                        '030L20A'\n",
+    "                    ],\n",
+    "                    name = 'VAX_LOT')),\n",
+    "            check_dtype = False)\n"
    ]
   },
   {
@@ -1028,6 +1079,56 @@
     "internationalLotTable.to_excel('results/International_Deadly_Lots.xlsx')\n",
     "internationalLotTable"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0f691bf5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def createBatchCodeTableByCountry(country):\n",
+    "    vaersDescr = VaersDescrReader(dataDir = 'VAERS').readNonDomesticVaersDescr()\n",
+    "    dataFrame = VaersDescr2DataFrameConverter.createDataFrameFromDescr(vaersDescr)\n",
+    "    DataFrameNormalizer.normalize(dataFrame)\n",
+    "    return InternationalLotTableFactory.createBatchCodeTableByCountry(dataFrame, country)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "59f7e62c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batchCodeTable = createBatchCodeTableByCountry('France')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a35ede95",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "report_path = 'results/international/'\n",
+    "if not os.path.exists(report_path):\n",
+    "    os.makedirs(report_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ff259a35",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batchCodeTable = batchCodeTable[batchCodeTable['Total reports'] > 50]\n",
+    "batchCodeTable.to_excel(report_path + 'france.xlsx')\n",
+    "batchCodeTable"
+   ]
   }
  ],
  "metadata": {