<data>
<row _id="1"><prov_dist_code>1</prov_dist_code><prov_dist_name>Koshi</prov_dist_name><Number of Households with at least one death>37067</Number of Households with at least one death><Total>38275</Total><Male>22015</Male><Female>16260</Female></row>
<row _id="2"><prov_dist_code>2</prov_dist_code><prov_dist_name>Madhesh</prov_dist_name><Number of Households with at least one death>33220</Number of Households with at least one death><Total>34319</Total><Male>19549</Male><Female>14770</Female></row>
<row _id="3"><prov_dist_code>3</prov_dist_code><prov_dist_name>Bagmati</prov_dist_name><Number of Households with at least one death>42387</Number of Households with at least one death><Total>43872</Total><Male>25211</Male><Female>18661</Female></row>
<row _id="4"><prov_dist_code>4</prov_dist_code><prov_dist_name>Gandaki</prov_dist_name><Number of Households with at least one death>19820</Number of Households with at least one death><Total>20406</Total><Male>11900</Male><Female>8506</Female></row>
<row _id="5"><prov_dist_code>5</prov_dist_code><prov_dist_name>Lumbini</prov_dist_name><Number of Households with at least one death>35001</Number of Households with at least one death><Total>36207</Total><Male>21249</Male><Female>14958</Female></row>
<row _id="6"><prov_dist_code>6</prov_dist_code><prov_dist_name>Karnali</prov_dist_name><Number of Households with at least one death>8182</Number of Households with at least one death><Total>8396</Total><Male>4987</Male><Female>3409</Female></row>
<row _id="7"><prov_dist_code>7</prov_dist_code><prov_dist_name>Sudur Paschim</prov_dist_name><Number of Households with at least one death>16501</Number of Households with at least one death><Total>16988</Total><Male>10035</Male><Female>6953</Female></row>
<row _id="8"><prov_dist_code>101</prov_dist_code><prov_dist_name>Taplejung</prov_dist_name><Number of Households with at least one death>837</Number of Households with at least one death><Total>867</Total><Male>456</Male><Female>411</Female></row>
<row _id="9"><prov_dist_code>102</prov_dist_code><prov_dist_name>Sankhuwasabha</prov_dist_name><Number of Households with at least one death>1187</Number of Households with at least one death><Total>1227</Total><Male>666</Male><Female>561</Female></row>
<row _id="10"><prov_dist_code>103</prov_dist_code><prov_dist_name>Solukhumbu</prov_dist_name><Number of Households with at least one death>713</Number of Households with at least one death><Total>736</Total><Male>420</Male><Female>316</Female></row>
<row _id="11"><prov_dist_code>104</prov_dist_code><prov_dist_name>Okhaldhunga</prov_dist_name><Number of Households with at least one death>873</Number of Households with at least one death><Total>897</Total><Male>523</Male><Female>374</Female></row>
<row _id="12"><prov_dist_code>105</prov_dist_code><prov_dist_name>Khotang</prov_dist_name><Number of Households with at least one death>1113</Number of Households with at least one death><Total>1145</Total><Male>636</Male><Female>509</Female></row>
<row _id="13"><prov_dist_code>106</prov_dist_code><prov_dist_name>Bhojpur</prov_dist_name><Number of Households with at least one death>1243</Number of Households with at least one death><Total>1267</Total><Male>752</Male><Female>515</Female></row>
<row _id="14"><prov_dist_code>107</prov_dist_code><prov_dist_name>Dhankuta</prov_dist_name><Number of Households with at least one death>1296</Number of Households with at least one death><Total>1345</Total><Male>787</Male><Female>558</Female></row>
<row _id="15"><prov_dist_code>108</prov_dist_code><prov_dist_name>Tehrathum</prov_dist_name><Number of Households with at least one death>764</Number of Households with at least one death><Total>794</Total><Male>442</Male><Female>352</Female></row>
<row _id="16"><prov_dist_code>109</prov_dist_code><prov_dist_name>Panchthar</prov_dist_name><Number of Households with at least one death>1612</Number of Households with at least one death><Total>1669</Total><Male>961</Male><Female>708</Female></row>
<row _id="17"><prov_dist_code>110</prov_dist_code><prov_dist_name>Ilam</prov_dist_name><Number of Households with at least one death>2077</Number of Households with at least one death><Total>2154</Total><Male>1217</Male><Female>937</Female></row>
<row _id="18"><prov_dist_code>111</prov_dist_code><prov_dist_name>Jhapa</prov_dist_name><Number of Households with at least one death>7597</Number of Households with at least one death><Total>7841</Total><Male>4446</Male><Female>3395</Female></row>
<row _id="19"><prov_dist_code>112</prov_dist_code><prov_dist_name>Morang</prov_dist_name><Number of Households with at least one death>9017</Number of Households with at least one death><Total>9302</Total><Male>5523</Male><Female>3779</Female></row>
<row _id="20"><prov_dist_code>113</prov_dist_code><prov_dist_name>Sunsari</prov_dist_name><Number of Households with at least one death>6638</Number of Households with at least one death><Total>6870</Total><Male>3897</Male><Female>2973</Female></row>
<row _id="21"><prov_dist_code>114</prov_dist_code><prov_dist_name>Udayapur</prov_dist_name><Number of Households with at least one death>2100</Number of Households with at least one death><Total>2161</Total><Male>1289</Male><Female>872</Female></row>
<row _id="22"><prov_dist_code>201</prov_dist_code><prov_dist_name>Saptari</prov_dist_name><Number of Households with at least one death>4298</Number of Households with at least one death><Total>4452</Total><Male>2538</Male><Female>1914</Female></row>
<row _id="23"><prov_dist_code>202</prov_dist_code><prov_dist_name>Siraha</prov_dist_name><Number of Households with at least one death>4274</Number of Households with at least one death><Total>4400</Total><Male>2486</Male><Female>1914</Female></row>
<row _id="24"><prov_dist_code>203</prov_dist_code><prov_dist_name>Dhanusha</prov_dist_name><Number of Households with at least one death>5468</Number of Households with at least one death><Total>5625</Total><Male>3225</Male><Female>2400</Female></row>
<row _id="25"><prov_dist_code>204</prov_dist_code><prov_dist_name>Mahottari</prov_dist_name><Number of Households with at least one death>4036</Number of Households with at least one death><Total>4173</Total><Male>2374</Male><Female>1799</Female></row>
<row _id="26"><prov_dist_code>205</prov_dist_code><prov_dist_name>Sarlahi</prov_dist_name><Number of Households with at least one death>4829</Number of Households with at least one death><Total>4984</Total><Male>2830</Male><Female>2154</Female></row>
<row _id="27"><prov_dist_code>206</prov_dist_code><prov_dist_name>Rautahat</prov_dist_name><Number of Households with at least one death>3971</Number of Households with at least one death><Total>4111</Total><Male>2357</Male><Female>1754</Female></row>
<row _id="28"><prov_dist_code>207</prov_dist_code><prov_dist_name>Bara</prov_dist_name><Number of Households with at least one death>3465</Number of Households with at least one death><Total>3585</Total><Male>2044</Male><Female>1541</Female></row>
<row _id="29"><prov_dist_code>208</prov_dist_code><prov_dist_name>Parsa</prov_dist_name><Number of Households with at least one death>2879</Number of Households with at least one death><Total>2989</Total><Male>1695</Male><Female>1294</Female></row>
<row _id="30"><prov_dist_code>301</prov_dist_code><prov_dist_name>Dolakha</prov_dist_name><Number of Households with at least one death>1369</Number of Households with at least one death><Total>1395</Total><Male>792</Male><Female>603</Female></row>
<row _id="31"><prov_dist_code>302</prov_dist_code><prov_dist_name>Sindhupalchok</prov_dist_name><Number of Households with at least one death>2069</Number of Households with at least one death><Total>2146</Total><Male>1259</Male><Female>887</Female></row>
<row _id="32"><prov_dist_code>303</prov_dist_code><prov_dist_name>Rasuwa</prov_dist_name><Number of Households with at least one death>299</Number of Households with at least one death><Total>311</Total><Male>185</Male><Female>126</Female></row>
<row _id="33"><prov_dist_code>304</prov_dist_code><prov_dist_name>Dhading</prov_dist_name><Number of Households with at least one death>2323</Number of Households with at least one death><Total>2408</Total><Male>1407</Male><Female>1001</Female></row>
<row _id="34"><prov_dist_code>305</prov_dist_code><prov_dist_name>Nuwakot</prov_dist_name><Number of Households with at least one death>2179</Number of Households with at least one death><Total>2249</Total><Male>1260</Male><Female>989</Female></row>
<row _id="35"><prov_dist_code>306</prov_dist_code><prov_dist_name>Kathmandu</prov_dist_name><Number of Households with at least one death>13090</Number of Households with at least one death><Total>13633</Total><Male>7762</Male><Female>5871</Female></row>
<row _id="36"><prov_dist_code>307</prov_dist_code><prov_dist_name>Bhaktapur</prov_dist_name><Number of Households with at least one death>2901</Number of Households with at least one death><Total>3003</Total><Male>1671</Male><Female>1332</Female></row>
<row _id="37"><prov_dist_code>308</prov_dist_code><prov_dist_name>Lalitpur</prov_dist_name><Number of Households with at least one death>4021</Number of Households with at least one death><Total>4173</Total><Male>2355</Male><Female>1818</Female></row>
<row _id="38"><prov_dist_code>309</prov_dist_code><prov_dist_name>Kavrepalanchok</prov_dist_name><Number of Households with at least one death>3018</Number of Households with at least one death><Total>3111</Total><Male>1835</Male><Female>1276</Female></row>
<row _id="39"><prov_dist_code>310</prov_dist_code><prov_dist_name>Ramechhap</prov_dist_name><Number of Households with at least one death>1202</Number of Households with at least one death><Total>1248</Total><Male>729</Male><Female>519</Female></row>
<row _id="40"><prov_dist_code>311</prov_dist_code><prov_dist_name>Sindhuli</prov_dist_name><Number of Households with at least one death>1821</Number of Households with at least one death><Total>1878</Total><Male>1063</Male><Female>815</Female></row>
<row _id="41"><prov_dist_code>312</prov_dist_code><prov_dist_name>Makwanpur</prov_dist_name><Number of Households with at least one death>3298</Number of Households with at least one death><Total>3389</Total><Male>1995</Male><Female>1394</Female></row>
<row _id="42"><prov_dist_code>313</prov_dist_code><prov_dist_name>Chitawan</prov_dist_name><Number of Households with at least one death>4797</Number of Households with at least one death><Total>4928</Total><Male>2898</Male><Female>2030</Female></row>
<row _id="43"><prov_dist_code>401</prov_dist_code><prov_dist_name>Gorkha</prov_dist_name><Number of Households with at least one death>1904</Number of Households with at least one death><Total>1957</Total><Male>1146</Male><Female>811</Female></row>
<row _id="44"><prov_dist_code>402</prov_dist_code><prov_dist_name>Manang</prov_dist_name><Number of Households with at least one death>55</Number of Households with at least one death><Total>57</Total><Male>35</Male><Female>22</Female></row>
<row _id="45"><prov_dist_code>403</prov_dist_code><prov_dist_name>Mustang</prov_dist_name><Number of Households with at least one death>99</Number of Households with at least one death><Total>101</Total><Male>54</Male><Female>47</Female></row>
<row _id="46"><prov_dist_code>404</prov_dist_code><prov_dist_name>Myagdi</prov_dist_name><Number of Households with at least one death>863</Number of Households with at least one death><Total>886</Total><Male>515</Male><Female>371</Female></row>
<row _id="47"><prov_dist_code>405</prov_dist_code><prov_dist_name>Kaski</prov_dist_name><Number of Households with at least one death>4704</Number of Households with at least one death><Total>4874</Total><Male>2867</Male><Female>2007</Female></row>
<row _id="48"><prov_dist_code>406</prov_dist_code><prov_dist_name>Lamjung</prov_dist_name><Number of Households with at least one death>1279</Number of Households with at least one death><Total>1315</Total><Male>732</Male><Female>583</Female></row>
<row _id="49"><prov_dist_code>407</prov_dist_code><prov_dist_name>Tanahu</prov_dist_name><Number of Households with at least one death>2704</Number of Households with at least one death><Total>2778</Total><Male>1649</Male><Female>1129</Female></row>
<row _id="50"><prov_dist_code>408</prov_dist_code><prov_dist_name>Nawalparasi (East)</prov_dist_name><Number of Households with at least one death>2805</Number of Households with at least one death><Total>2889</Total><Male>1719</Male><Female>1170</Female></row>
<row _id="51"><prov_dist_code>409</prov_dist_code><prov_dist_name>Syangja</prov_dist_name><Number of Households with at least one death>2394</Number of Households with at least one death><Total>2439</Total><Male>1411</Male><Female>1028</Female></row>
<row _id="52"><prov_dist_code>410</prov_dist_code><prov_dist_name>Parbat</prov_dist_name><Number of Households with at least one death>1043</Number of Households with at least one death><Total>1070</Total><Male>647</Male><Female>423</Female></row>
<row _id="53"><prov_dist_code>411</prov_dist_code><prov_dist_name>Baglung</prov_dist_name><Number of Households with at least one death>1970</Number of Households with at least one death><Total>2040</Total><Male>1125</Male><Female>915</Female></row>
<row _id="54"><prov_dist_code>501</prov_dist_code><prov_dist_name>Rukum (East)</prov_dist_name><Number of Households with at least one death>277</Number of Households with at least one death><Total>285</Total><Male>181</Male><Female>104</Female></row>
<row _id="55"><prov_dist_code>502</prov_dist_code><prov_dist_name>Rolpa</prov_dist_name><Number of Households with at least one death>1344</Number of Households with at least one death><Total>1382</Total><Male>834</Male><Female>548</Female></row>
<row _id="56"><prov_dist_code>503</prov_dist_code><prov_dist_name>Pyuthan</prov_dist_name><Number of Households with at least one death>1507</Number of Households with at least one death><Total>1566</Total><Male>891</Male><Female>675</Female></row>
<row _id="57"><prov_dist_code>504</prov_dist_code><prov_dist_name>Gulmi</prov_dist_name><Number of Households with at least one death>2058</Number of Households with at least one death><Total>2124</Total><Male>1266</Male><Female>858</Female></row>
<row _id="58"><prov_dist_code>505</prov_dist_code><prov_dist_name>Arghakhanchi</prov_dist_name><Number of Households with at least one death>1494</Number of Households with at least one death><Total>1533</Total><Male>950</Male><Female>583</Female></row>
<row _id="59"><prov_dist_code>506</prov_dist_code><prov_dist_name>Palpa</prov_dist_name><Number of Households with at least one death>1940</Number of Households with at least one death><Total>1999</Total><Male>1152</Male><Female>847</Female></row>
<row _id="60"><prov_dist_code>507</prov_dist_code><prov_dist_name>Nawalparasi (West)</prov_dist_name><Number of Households with at least one death>2741</Number of Households with at least one death><Total>2829</Total><Male>1622</Male><Female>1207</Female></row>
<row _id="61"><prov_dist_code>508</prov_dist_code><prov_dist_name>Rupandehi</prov_dist_name><Number of Households with at least one death>7893</Number of Households with at least one death><Total>8174</Total><Male>4711</Male><Female>3463</Female></row>
<row _id="62"><prov_dist_code>509</prov_dist_code><prov_dist_name>Kapilbastu</prov_dist_name><Number of Households with at least one death>4658</Number of Households with at least one death><Total>4871</Total><Male>2854</Male><Female>2017</Female></row>
<row _id="63"><prov_dist_code>510</prov_dist_code><prov_dist_name>Dang</prov_dist_name><Number of Households with at least one death>4237</Number of Households with at least one death><Total>4354</Total><Male>2687</Male><Female>1667</Female></row>
<row _id="64"><prov_dist_code>511</prov_dist_code><prov_dist_name>Banke</prov_dist_name><Number of Households with at least one death>4049</Number of Households with at least one death><Total>4201</Total><Male>2400</Male><Female>1801</Female></row>
<row _id="65"><prov_dist_code>512</prov_dist_code><prov_dist_name>Bardiya</prov_dist_name><Number of Households with at least one death>2803</Number of Households with at least one death><Total>2889</Total><Male>1701</Male><Female>1188</Female></row>
<row _id="66"><prov_dist_code>601</prov_dist_code><prov_dist_name>Dolpa</prov_dist_name><Number of Households with at least one death>179</Number of Households with at least one death><Total>194</Total><Male>119</Male><Female>75</Female></row>
<row _id="67"><prov_dist_code>602</prov_dist_code><prov_dist_name>Mugu</prov_dist_name><Number of Households with at least one death>344</Number of Households with at least one death><Total>349</Total><Male>213</Male><Female>136</Female></row>
<row _id="68"><prov_dist_code>603</prov_dist_code><prov_dist_name>Humla</prov_dist_name><Number of Households with at least one death>227</Number of Households with at least one death><Total>239</Total><Male>144</Male><Female>95</Female></row>
<row _id="69"><prov_dist_code>604</prov_dist_code><prov_dist_name>Jumla</prov_dist_name><Number of Households with at least one death>611</Number of Households with at least one death><Total>627</Total><Male>370</Male><Female>257</Female></row>
<row _id="70"><prov_dist_code>605</prov_dist_code><prov_dist_name>Kalikot</prov_dist_name><Number of Households with at least one death>628</Number of Households with at least one death><Total>649</Total><Male>370</Male><Female>279</Female></row>
<row _id="71"><prov_dist_code>606</prov_dist_code><prov_dist_name>Dailekh</prov_dist_name><Number of Households with at least one death>1153</Number of Households with at least one death><Total>1184</Total><Male>724</Male><Female>460</Female></row>
<row _id="72"><prov_dist_code>607</prov_dist_code><prov_dist_name>Jajarkot</prov_dist_name><Number of Households with at least one death>782</Number of Households with at least one death><Total>793</Total><Male>456</Male><Female>337</Female></row>
<row _id="73"><prov_dist_code>608</prov_dist_code><prov_dist_name>Rukum (West)</prov_dist_name><Number of Households with at least one death>659</Number of Households with at least one death><Total>679</Total><Male>419</Male><Female>260</Female></row>
<row _id="74"><prov_dist_code>609</prov_dist_code><prov_dist_name>Salyan</prov_dist_name><Number of Households with at least one death>1270</Number of Households with at least one death><Total>1300</Total><Male>802</Male><Female>498</Female></row>
<row _id="75"><prov_dist_code>610</prov_dist_code><prov_dist_name>Surkhet</prov_dist_name><Number of Households with at least one death>2329</Number of Households with at least one death><Total>2382</Total><Male>1370</Male><Female>1012</Female></row>
<row _id="76"><prov_dist_code>701</prov_dist_code><prov_dist_name>Bajura</prov_dist_name><Number of Households with at least one death>759</Number of Households with at least one death><Total>777</Total><Male>448</Male><Female>329</Female></row>
<row _id="77"><prov_dist_code>702</prov_dist_code><prov_dist_name>Bajhang</prov_dist_name><Number of Households with at least one death>1018</Number of Households with at least one death><Total>1048</Total><Male>609</Male><Female>439</Female></row>
<row _id="78"><prov_dist_code>703</prov_dist_code><prov_dist_name>Darchula</prov_dist_name><Number of Households with at least one death>689</Number of Households with at least one death><Total>705</Total><Male>435</Male><Female>270</Female></row>
<row _id="79"><prov_dist_code>704</prov_dist_code><prov_dist_name>Baitadi</prov_dist_name><Number of Households with at least one death>1304</Number of Households with at least one death><Total>1339</Total><Male>833</Male><Female>506</Female></row>
<row _id="80"><prov_dist_code>705</prov_dist_code><prov_dist_name>Dadeldhura</prov_dist_name><Number of Households with at least one death>751</Number of Households with at least one death><Total>765</Total><Male>434</Male><Female>331</Female></row>
<row _id="81"><prov_dist_code>706</prov_dist_code><prov_dist_name>Doti</prov_dist_name><Number of Households with at least one death>1059</Number of Households with at least one death><Total>1100</Total><Male>659</Male><Female>441</Female></row>
<row _id="82"><prov_dist_code>707</prov_dist_code><prov_dist_name>Achham</prov_dist_name><Number of Households with at least one death>1465</Number of Households with at least one death><Total>1504</Total><Male>896</Male><Female>608</Female></row>
<row _id="83"><prov_dist_code>708</prov_dist_code><prov_dist_name>Kailali</prov_dist_name><Number of Households with at least one death>6062</Number of Households with at least one death><Total>6254</Total><Male>3679</Male><Female>2575</Female></row>
<row _id="84"><prov_dist_code>709</prov_dist_code><prov_dist_name>Kanchanpur</prov_dist_name><Number of Households with at least one death>3394</Number of Households with at least one death><Total>3496</Total><Male>2042</Male><Female>1454</Female></row>
</data>
