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<row _id="3"><id>2</id><year>2018</year><state_name>Arunachal Pradesh</state_name><state_code>12</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="4"><id>3</id><year>2018</year><state_name>Assam</state_name><state_code>18</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="5"><id>4</id><year>2018</year><state_name>Bihar</state_name><state_code>10</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
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<row _id="7"><id>6</id><year>2018</year><state_name>Chhattisgarh</state_name><state_code>22</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="8"><id>7</id><year>2018</year><state_name>Delhi</state_name><state_code>7</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="9"><id>8</id><year>2018</year><state_name>Goa</state_name><state_code>30</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="10"><id>9</id><year>2018</year><state_name>Gujarat</state_name><state_code>24</state_code><cases>3.0</cases><married>6.0</married><un_married>0.0</un_married></row>
<row _id="11"><id>10</id><year>2018</year><state_name>Haryana</state_name><state_code>6</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
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<row _id="14"><id>13</id><year>2018</year><state_name>Jharkhand</state_name><state_code>20</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="15"><id>14</id><year>2018</year><state_name>Karnataka</state_name><state_code>29</state_code><cases>1.0</cases><married>2.0</married><un_married>0.0</un_married></row>
<row _id="16"><id>15</id><year>2018</year><state_name>Kerala</state_name><state_code>32</state_code><cases>5.0</cases><married>21.0</married><un_married>3.0</un_married></row>
<row _id="17"><id>16</id><year>2018</year><state_name>Lakshadweep</state_name><state_code>31</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="18"><id>17</id><year>2018</year><state_name>Madhya Pradesh</state_name><state_code>23</state_code><cases>9.0</cases><married>13.0</married><un_married>7.0</un_married></row>
<row _id="19"><id>18</id><year>2018</year><state_name>Maharashtra</state_name><state_code>27</state_code><cases>2.0</cases><married>3.0</married><un_married>2.0</un_married></row>
<row _id="20"><id>19</id><year>2018</year><state_name>Manipur</state_name><state_code>14</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="21"><id>20</id><year>2018</year><state_name>Meghalaya</state_name><state_code>17</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="22"><id>21</id><year>2018</year><state_name>Mizoram</state_name><state_code>15</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="23"><id>22</id><year>2018</year><state_name>Nagaland</state_name><state_code>13</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="24"><id>23</id><year>2018</year><state_name>Odisha</state_name><state_code>21</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="25"><id>24</id><year>2018</year><state_name>Puducherry</state_name><state_code>34</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="26"><id>25</id><year>2018</year><state_name>Punjab</state_name><state_code>3</state_code><cases>6.0</cases><married>4.0</married><un_married>9.0</un_married></row>
<row _id="27"><id>26</id><year>2018</year><state_name>Rajasthan</state_name><state_code>8</state_code><cases>6.0</cases><married>5.0</married><un_married>12.0</un_married></row>
<row _id="28"><id>27</id><year>2018</year><state_name>Sikkim</state_name><state_code>11</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="29"><id>28</id><year>2018</year><state_name>Tamil Nadu</state_name><state_code>33</state_code><cases>15.0</cases><married>26.0</married><un_married>9.0</un_married></row>
<row _id="30"><id>29</id><year>2018</year><state_name>Telangana</state_name><state_code>36</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="31"><id>30</id><year>2018</year><state_name>The Dadra And Nagar Haveli And Daman And Diu</state_name><state_code>38</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="32"><id>31</id><year>2018</year><state_name>Tripura</state_name><state_code>16</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="33"><id>32</id><year>2018</year><state_name>Uttar Pradesh</state_name><state_code>9</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="34"><id>33</id><year>2018</year><state_name>Uttarakhand</state_name><state_code>5</state_code><cases>5.0</cases><married>17.0</married><un_married>5.0</un_married></row>
<row _id="35"><id>34</id><year>2018</year><state_name>West Bengal</state_name><state_code>19</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="36"><id>35</id><year>2019</year><state_name>Andaman And Nicobar Islands</state_name><state_code>35</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="37"><id>36</id><year>2019</year><state_name>Andhra Pradesh</state_name><state_code>28</state_code><cases>14.0</cases><married>25.0</married><un_married>11.0</un_married></row>
<row _id="38"><id>37</id><year>2019</year><state_name>Arunachal Pradesh</state_name><state_code>12</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="39"><id>38</id><year>2019</year><state_name>Assam</state_name><state_code>18</state_code><cases>5.0</cases><married>11.0</married><un_married>2.0</un_married></row>
<row _id="40"><id>39</id><year>2019</year><state_name>Bihar</state_name><state_code>10</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="41"><id>40</id><year>2019</year><state_name>Chandigarh</state_name><state_code>4</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="42"><id>41</id><year>2019</year><state_name>Chhattisgarh</state_name><state_code>22</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="43"><id>42</id><year>2019</year><state_name>Delhi</state_name><state_code>7</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="44"><id>43</id><year>2019</year><state_name>Goa</state_name><state_code>30</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="45"><id>44</id><year>2019</year><state_name>Gujarat</state_name><state_code>24</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="46"><id>45</id><year>2019</year><state_name>Haryana</state_name><state_code>6</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="47"><id>46</id><year>2019</year><state_name>Himachal Pradesh</state_name><state_code>2</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="48"><id>47</id><year>2019</year><state_name>Jammu And Kashmir</state_name><state_code>1</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="49"><id>48</id><year>2019</year><state_name>Jharkhand</state_name><state_code>20</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="50"><id>49</id><year>2019</year><state_name>Karnataka</state_name><state_code>29</state_code><cases>3.0</cases><married>5.0</married><un_married>2.0</un_married></row>
<row _id="51"><id>50</id><year>2019</year><state_name>Kerala</state_name><state_code>32</state_code><cases>11.0</cases><married>20.0</married><un_married>4.0</un_married></row>
<row _id="52"><id>51</id><year>2019</year><state_name>Lakshadweep</state_name><state_code>31</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="53"><id>52</id><year>2019</year><state_name>Madhya Pradesh</state_name><state_code>23</state_code><cases>1.0</cases><married>1.0</married><un_married>1.0</un_married></row>
<row _id="54"><id>53</id><year>2019</year><state_name>Maharashtra</state_name><state_code>27</state_code><cases>3.0</cases><married>6.0</married><un_married>1.0</un_married></row>
<row _id="55"><id>54</id><year>2019</year><state_name>Manipur</state_name><state_code>14</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="56"><id>55</id><year>2019</year><state_name>Meghalaya</state_name><state_code>17</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="57"><id>56</id><year>2019</year><state_name>Mizoram</state_name><state_code>15</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="58"><id>57</id><year>2019</year><state_name>Nagaland</state_name><state_code>13</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="59"><id>58</id><year>2019</year><state_name>Odisha</state_name><state_code>21</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="60"><id>59</id><year>2019</year><state_name>Puducherry</state_name><state_code>34</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="61"><id>60</id><year>2019</year><state_name>Punjab</state_name><state_code>3</state_code><cases>9.0</cases><married>12.0</married><un_married>6.0</un_married></row>
<row _id="62"><id>61</id><year>2019</year><state_name>Rajasthan</state_name><state_code>8</state_code><cases>7.0</cases><married>8.0</married><un_married>14.0</un_married></row>
<row _id="63"><id>62</id><year>2019</year><state_name>Sikkim</state_name><state_code>11</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="64"><id>63</id><year>2019</year><state_name>Tamil Nadu</state_name><state_code>33</state_code><cases>16.0</cases><married>33.0</married><un_married>10.0</un_married></row>
<row _id="65"><id>64</id><year>2019</year><state_name>Telangana</state_name><state_code>36</state_code><cases>2.0</cases><married>4.0</married><un_married>2.0</un_married></row>
<row _id="66"><id>65</id><year>2019</year><state_name>The Dadra And Nagar Haveli And Daman And Diu</state_name><state_code>38</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="67"><id>66</id><year>2019</year><state_name>Tripura</state_name><state_code>16</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="68"><id>67</id><year>2019</year><state_name>Uttar Pradesh</state_name><state_code>9</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="69"><id>68</id><year>2019</year><state_name>Uttarakhand</state_name><state_code>5</state_code><cases>1.0</cases><married>1.0</married><un_married>1.0</un_married></row>
<row _id="70"><id>69</id><year>2019</year><state_name>West Bengal</state_name><state_code>19</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="71"><id>70</id><year>2020</year><state_name>Andaman And Nicobar Islands</state_name><state_code>35</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="72"><id>71</id><year>2020</year><state_name>Andhra Pradesh</state_name><state_code>28</state_code><cases>19.0</cases><married>34.0</married><un_married>12.0</un_married></row>
<row _id="73"><id>72</id><year>2020</year><state_name>Arunachal Pradesh</state_name><state_code>12</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="74"><id>73</id><year>2020</year><state_name>Assam</state_name><state_code>18</state_code><cases>10.0</cases><married>8.0</married><un_married>2.0</un_married></row>
<row _id="75"><id>74</id><year>2020</year><state_name>Bihar</state_name><state_code>10</state_code><cases>1.0</cases><married>2.0</married><un_married>1.0</un_married></row>
<row _id="76"><id>75</id><year>2020</year><state_name>Chandigarh</state_name><state_code>4</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="77"><id>76</id><year>2020</year><state_name>Chhattisgarh</state_name><state_code>22</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="78"><id>77</id><year>2020</year><state_name>Delhi</state_name><state_code>7</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="79"><id>78</id><year>2020</year><state_name>Goa</state_name><state_code>30</state_code><cases>1.0</cases><married>2.0</married><un_married>0.0</un_married></row>
<row _id="80"><id>79</id><year>2020</year><state_name>Gujarat</state_name><state_code>24</state_code><cases>3.0</cases><married>4.0</married><un_married>9.0</un_married></row>
<row _id="81"><id>80</id><year>2020</year><state_name>Haryana</state_name><state_code>6</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="82"><id>81</id><year>2020</year><state_name>Himachal Pradesh</state_name><state_code>2</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="83"><id>82</id><year>2020</year><state_name>Jammu And Kashmir</state_name><state_code>1</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="84"><id>83</id><year>2020</year><state_name>Jharkhand</state_name><state_code>20</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="85"><id>84</id><year>2020</year><state_name>Karnataka</state_name><state_code>29</state_code><cases>8.0</cases><married>10.0</married><un_married>9.0</un_married></row>
<row _id="86"><id>85</id><year>2020</year><state_name>Kerala</state_name><state_code>32</state_code><cases>9.0</cases><married>14.0</married><un_married>11.0</un_married></row>
<row _id="87"><id>86</id><year>2020</year><state_name>Ladakh</state_name><state_code>37</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="88"><id>87</id><year>2020</year><state_name>Lakshadweep</state_name><state_code>31</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="89"><id>88</id><year>2020</year><state_name>Madhya Pradesh</state_name><state_code>23</state_code><cases>18.0</cases><married>23.0</married><un_married>16.0</un_married></row>
<row _id="90"><id>89</id><year>2020</year><state_name>Maharashtra</state_name><state_code>27</state_code><cases>8.0</cases><married>6.0</married><un_married>11.0</un_married></row>
<row _id="91"><id>90</id><year>2020</year><state_name>Manipur</state_name><state_code>14</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="92"><id>91</id><year>2020</year><state_name>Meghalaya</state_name><state_code>17</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="93"><id>92</id><year>2020</year><state_name>Mizoram</state_name><state_code>15</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="94"><id>93</id><year>2020</year><state_name>Nagaland</state_name><state_code>13</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="95"><id>94</id><year>2020</year><state_name>Odisha</state_name><state_code>21</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="96"><id>95</id><year>2020</year><state_name>Puducherry</state_name><state_code>34</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="97"><id>96</id><year>2020</year><state_name>Punjab</state_name><state_code>3</state_code><cases>5.0</cases><married>6.0</married><un_married>6.0</un_married></row>
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<row _id="99"><id>98</id><year>2020</year><state_name>Sikkim</state_name><state_code>11</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="100"><id>99</id><year>2020</year><state_name>Tamil Nadu</state_name><state_code>33</state_code><cases>22.0</cases><married>26.0</married><un_married>19.0</un_married></row>
<row _id="101"><id>100</id><year>2020</year><state_name>Telangana</state_name><state_code>36</state_code><cases>1.0</cases><married>1.0</married><un_married>2.0</un_married></row>
<row _id="102"><id>101</id><year>2020</year><state_name>The Dadra And Nagar Haveli And Daman And Diu</state_name><state_code>38</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="103"><id>102</id><year>2020</year><state_name>Tripura</state_name><state_code>16</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="104"><id>103</id><year>2020</year><state_name>Uttar Pradesh</state_name><state_code>9</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="105"><id>104</id><year>2020</year><state_name>Uttarakhand</state_name><state_code>5</state_code><cases>1.0</cases><married>2.0</married><un_married>0.0</un_married></row>
<row _id="106"><id>105</id><year>2020</year><state_name>West Bengal</state_name><state_code>19</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="107"><id>106</id><year>2021</year><state_name>Andaman And Nicobar Islands</state_name><state_code>35</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
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<row _id="109"><id>108</id><year>2021</year><state_name>Arunachal Pradesh</state_name><state_code>12</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="110"><id>109</id><year>2021</year><state_name>Assam</state_name><state_code>18</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="111"><id>110</id><year>2021</year><state_name>Bihar</state_name><state_code>10</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="112"><id>111</id><year>2021</year><state_name>Chandigarh</state_name><state_code>4</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="113"><id>112</id><year>2021</year><state_name>Chhattisgarh</state_name><state_code>22</state_code><cases>1.0</cases><married>2.0</married><un_married>0.0</un_married></row>
<row _id="114"><id>113</id><year>2021</year><state_name>Delhi</state_name><state_code>7</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="115"><id>114</id><year>2021</year><state_name>Goa</state_name><state_code>30</state_code><cases>1.0</cases><married>3.0</married><un_married>0.0</un_married></row>
<row _id="116"><id>115</id><year>2021</year><state_name>Gujarat</state_name><state_code>24</state_code><cases>8.0</cases><married>15.0</married><un_married>8.0</un_married></row>
<row _id="117"><id>116</id><year>2021</year><state_name>Haryana</state_name><state_code>6</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="118"><id>117</id><year>2021</year><state_name>Himachal Pradesh</state_name><state_code>2</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="119"><id>118</id><year>2021</year><state_name>Jammu And Kashmir</state_name><state_code>1</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="120"><id>119</id><year>2021</year><state_name>Jharkhand</state_name><state_code>20</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="121"><id>120</id><year>2021</year><state_name>Karnataka</state_name><state_code>29</state_code><cases>10.0</cases><married>19.0</married><un_married>12.0</un_married></row>
<row _id="122"><id>121</id><year>2021</year><state_name>Kerala</state_name><state_code>32</state_code><cases>12.0</cases><married>22.0</married><un_married>4.0</un_married></row>
<row _id="123"><id>122</id><year>2021</year><state_name>Ladakh</state_name><state_code>37</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="124"><id>123</id><year>2021</year><state_name>Lakshadweep</state_name><state_code>31</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="125"><id>124</id><year>2021</year><state_name>Madhya Pradesh</state_name><state_code>23</state_code><cases>8.0</cases><married>9.0</married><un_married>10.0</un_married></row>
<row _id="126"><id>125</id><year>2021</year><state_name>Maharashtra</state_name><state_code>27</state_code><cases>6.0</cases><married>14.0</married><un_married>6.0</un_married></row>
<row _id="127"><id>126</id><year>2021</year><state_name>Manipur</state_name><state_code>14</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="128"><id>127</id><year>2021</year><state_name>Meghalaya</state_name><state_code>17</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="129"><id>128</id><year>2021</year><state_name>Mizoram</state_name><state_code>15</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="130"><id>129</id><year>2021</year><state_name>Nagaland</state_name><state_code>13</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="131"><id>130</id><year>2021</year><state_name>Odisha</state_name><state_code>21</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="132"><id>131</id><year>2021</year><state_name>Puducherry</state_name><state_code>34</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="133"><id>132</id><year>2021</year><state_name>Punjab</state_name><state_code>3</state_code><cases>3.0</cases><married>3.0</married><un_married>4.0</un_married></row>
<row _id="134"><id>133</id><year>2021</year><state_name>Rajasthan</state_name><state_code>8</state_code><cases>25.0</cases><married>18.0</married><un_married>49.0</un_married></row>
<row _id="135"><id>134</id><year>2021</year><state_name>Sikkim</state_name><state_code>11</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="136"><id>135</id><year>2021</year><state_name>Tamil Nadu</state_name><state_code>33</state_code><cases>33.0</cases><married>52.0</married><un_married>28.0</un_married></row>
<row _id="137"><id>136</id><year>2021</year><state_name>Telangana</state_name><state_code>36</state_code><cases>2.0</cases><married>3.0</married><un_married>3.0</un_married></row>
<row _id="138"><id>137</id><year>2021</year><state_name>The Dadra And Nagar Haveli And Daman And Diu</state_name><state_code>38</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="139"><id>138</id><year>2021</year><state_name>Tripura</state_name><state_code>16</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="140"><id>139</id><year>2021</year><state_name>Uttar Pradesh</state_name><state_code>9</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="141"><id>140</id><year>2021</year><state_name>Uttarakhand</state_name><state_code>5</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="142"><id>141</id><year>2021</year><state_name>West Bengal</state_name><state_code>19</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="143"><id>142</id><year>2022</year><state_name>Andaman And Nicobar Islands</state_name><state_code>35</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="144"><id>143</id><year>2022</year><state_name>Andhra Pradesh</state_name><state_code>28</state_code><cases>13.0</cases><married>21.0</married><un_married>8.0</un_married></row>
<row _id="145"><id>144</id><year>2022</year><state_name>Arunachal Pradesh</state_name><state_code>12</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="146"><id>145</id><year>2022</year><state_name>Assam</state_name><state_code>18</state_code><cases>1.0</cases><married>2.0</married><un_married>0.0</un_married></row>
<row _id="147"><id>146</id><year>2022</year><state_name>Bihar</state_name><state_code>10</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="148"><id>147</id><year>2022</year><state_name>Chandigarh</state_name><state_code>4</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="149"><id>148</id><year>2022</year><state_name>Chhattisgarh</state_name><state_code>22</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="150"><id>149</id><year>2022</year><state_name>Delhi</state_name><state_code>7</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="151"><id>150</id><year>2022</year><state_name>Goa</state_name><state_code>30</state_code><cases>1.0</cases><married>1.0</married><un_married>1.0</un_married></row>
<row _id="152"><id>151</id><year>2022</year><state_name>Gujarat</state_name><state_code>24</state_code><cases>1.0</cases><married>2.0</married><un_married>1.0</un_married></row>
<row _id="153"><id>152</id><year>2022</year><state_name>Haryana</state_name><state_code>6</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="154"><id>153</id><year>2022</year><state_name>Himachal Pradesh</state_name><state_code>2</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="155"><id>154</id><year>2022</year><state_name>Jammu And Kashmir</state_name><state_code>1</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="156"><id>155</id><year>2022</year><state_name>Jharkhand</state_name><state_code>20</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="157"><id>156</id><year>2022</year><state_name>Karnataka</state_name><state_code>29</state_code><cases>7.0</cases><married>13.0</married><un_married>3.0</un_married></row>
<row _id="158"><id>157</id><year>2022</year><state_name>Kerala</state_name><state_code>32</state_code><cases>4.0</cases><married>9.0</married><un_married>2.0</un_married></row>
<row _id="159"><id>158</id><year>2022</year><state_name>Ladakh</state_name><state_code>37</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="160"><id>159</id><year>2022</year><state_name>Lakshadweep</state_name><state_code>31</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="161"><id>160</id><year>2022</year><state_name>Madhya Pradesh</state_name><state_code>23</state_code><cases>4.0</cases><married>5.0</married><un_married>3.0</un_married></row>
<row _id="162"><id>161</id><year>2022</year><state_name>Maharashtra</state_name><state_code>27</state_code><cases>2.0</cases><married>4.0</married><un_married>0.0</un_married></row>
<row _id="163"><id>162</id><year>2022</year><state_name>Manipur</state_name><state_code>14</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="164"><id>163</id><year>2022</year><state_name>Meghalaya</state_name><state_code>17</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="165"><id>164</id><year>2022</year><state_name>Mizoram</state_name><state_code>15</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="166"><id>165</id><year>2022</year><state_name>Nagaland</state_name><state_code>13</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="167"><id>166</id><year>2022</year><state_name>Odisha</state_name><state_code>21</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="168"><id>167</id><year>2022</year><state_name>Puducherry</state_name><state_code>34</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="169"><id>168</id><year>2022</year><state_name>Punjab</state_name><state_code>3</state_code><cases>5.0</cases><married>5.0</married><un_married>5.0</un_married></row>
<row _id="170"><id>169</id><year>2022</year><state_name>Rajasthan</state_name><state_code>8</state_code><cases>20.0</cases><married>15.0</married><un_married>28.0</un_married></row>
<row _id="171"><id>170</id><year>2022</year><state_name>Sikkim</state_name><state_code>11</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="172"><id>171</id><year>2022</year><state_name>Tamil Nadu</state_name><state_code>33</state_code><cases>90.0</cases><married>140.0</married><un_married>52.0</un_married></row>
<row _id="173"><id>172</id><year>2022</year><state_name>Telangana</state_name><state_code>36</state_code><cases>1.0</cases><married>2.0</married><un_married>0.0</un_married></row>
<row _id="174"><id>173</id><year>2022</year><state_name>The Dadra And Nagar Haveli And Daman And Diu</state_name><state_code>38</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="175"><id>174</id><year>2022</year><state_name>Tripura</state_name><state_code>16</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="176"><id>175</id><year>2022</year><state_name>Uttar Pradesh</state_name><state_code>9</state_code><cases>1.0</cases><married>3.0</married><un_married>0.0</un_married></row>
<row _id="177"><id>176</id><year>2022</year><state_name>Uttarakhand</state_name><state_code>5</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
<row _id="178"><id>177</id><year>2022</year><state_name>West Bengal</state_name><state_code>19</state_code><cases>0.0</cases><married>0.0</married><un_married>0.0</un_married></row>
</data>
