diff --git a/Worldometer/Worldometer_World_population_evolution_and_projections.ipynb b/Worldometer/Worldometer_World_population_evolution_and_projections.ipynb
index 47d9f329ac..d32c384284 100644
--- a/Worldometer/Worldometer_World_population_evolution_and_projections.ipynb
+++ b/Worldometer/Worldometer_World_population_evolution_and_projections.ipynb
@@ -57,7 +57,7 @@
     "tags": []
    },
    "source": [
-    "**Last update:** 2023-04-12 (Created: 2021-05-05)"
+    "**Last update:** 2023-10-14 (Created: 2021-05-05)"
    ]
   },
   {
@@ -97,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "located-savannah",
    "metadata": {
     "papermill": {},
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "protecting-november",
    "metadata": {
     "papermill": {},
@@ -137,14 +137,13 @@
     "    \"https://www.worldometers.info/world-population/world-population-projections/\",\n",
     "]\n",
     "\n",
+    "# Update this list to have latest cols from worldometers\n",
     "TABLE_COLS = [\n",
     "    \"Year\",\n",
-    "    \"World Population\",\n",
+    "    \"WorldPopulation\",\n",
     "    \"YearlyChange\",\n",
     "    \"NetChange\",\n",
     "    \"Density(P/Km²)\",\n",
-    "    \"UrbanPop\",\n",
-    "    \"UrbanPop %\",\n",
     "]"
    ]
   },
@@ -172,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "posted-ethics",
    "metadata": {
     "papermill": {},
@@ -182,14 +181,19 @@
    "source": [
     "# Generic functions\n",
     "\n",
+    "def preprocess_cols(cols):\n",
+    "    cols = [col.replace(' ', '') for col in cols]\n",
+    "    return cols\n",
     "\n",
     "def scrap_table(url, table_cloumns):\n",
     "    page = requests.get(url)\n",
     "    soup = BeautifulSoup(page.text, \"html.parser\")\n",
     "    dfs = pd.read_html(page.text)\n",
-    "\n",
     "    for df in dfs:\n",
-    "        if df.columns.to_list() == table_cloumns:\n",
+    "        # Need this as df columns have space inconsistency\n",
+    "        columns_in_page = preprocess_cols(df.columns.to_list())\n",
+    "        if columns_in_page == table_cloumns:\n",
+    "            df.columns = columns_in_page\n",
     "            return df\n",
     "    return None\n",
     "\n",
@@ -202,34 +206,10 @@
     "            if table is None:\n",
     "                table = new_value\n",
     "            else:\n",
-    "                table = table.append(new_value)\n",
+    "                table = pd.concat([table, new_value])\n",
     "    return table"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "surprising-basics",
-   "metadata": {
-    "papermill": {},
-    "tags": []
-   },
-   "source": [
-    "### Print table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "nutritional-variable",
-   "metadata": {
-    "papermill": {},
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "table"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "insured-prefix",
@@ -243,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "western-czech",
    "metadata": {
     "papermill": {},
@@ -258,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "entire-working",
    "metadata": {
     "papermill": {},
@@ -291,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "knowing-norfolk",
    "metadata": {
     "papermill": {},
@@ -330,7 +310,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "unusual-worker",
    "metadata": {
     "papermill": {},
@@ -354,7 +334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "terminal-brown",
    "metadata": {
     "papermill": {},
@@ -378,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "according-springfield",
    "metadata": {
     "papermill": {},
@@ -404,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "fundamental-aquatic",
    "metadata": {
     "papermill": {},
@@ -454,4 +434,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
\ No newline at end of file
+}