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"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
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"\n",
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" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Overall rank</th>\n",
" <th>Country or region</th>\n",
" <th>Score</th>\n",
" <th>GDP per capita</th>\n",
" <th>Social support</th>\n",
" <th>Healthy life expectancy</th>\n",
" <th>Freedom to make life choices</th>\n",
" <th>Generosity</th>\n",
" <th>Perceptions of corruption</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Finland</td>\n",
" <td>7.769</td>\n",
" <td>1.340</td>\n",
" <td>1.587</td>\n",
" <td>0.986</td>\n",
" <td>0.596</td>\n",
" <td>0.153</td>\n",
" <td>0.393</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>Denmark</td>\n",
" <td>7.600</td>\n",
" <td>1.383</td>\n",
" <td>1.573</td>\n",
" <td>0.996</td>\n",
" <td>0.592</td>\n",
" <td>0.252</td>\n",
" <td>0.410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>Norway</td>\n",
" <td>7.554</td>\n",
" <td>1.488</td>\n",
" <td>1.582</td>\n",
" <td>1.028</td>\n",
" <td>0.603</td>\n",
" <td>0.271</td>\n",
" <td>0.341</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>Iceland</td>\n",
" <td>7.494</td>\n",
" <td>1.380</td>\n",
" <td>1.624</td>\n",
" <td>1.026</td>\n",
" <td>0.591</td>\n",
" <td>0.354</td>\n",
" <td>0.118</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>Netherlands</td>\n",
" <td>7.488</td>\n",
" <td>1.396</td>\n",
" <td>1.522</td>\n",
" <td>0.999</td>\n",
" <td>0.557</td>\n",
" <td>0.322</td>\n",
" <td>0.298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>Switzerland</td>\n",
" <td>7.480</td>\n",
" <td>1.452</td>\n",
" <td>1.526</td>\n",
" <td>1.052</td>\n",
" <td>0.572</td>\n",
" <td>0.263</td>\n",
" <td>0.343</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>Sweden</td>\n",
" <td>7.343</td>\n",
" <td>1.387</td>\n",
" <td>1.487</td>\n",
" <td>1.009</td>\n",
" <td>0.574</td>\n",
" <td>0.267</td>\n",
" <td>0.373</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>8</td>\n",
" <td>New Zealand</td>\n",
" <td>7.307</td>\n",
" <td>1.303</td>\n",
" <td>1.557</td>\n",
" <td>1.026</td>\n",
" <td>0.585</td>\n",
" <td>0.330</td>\n",
" <td>0.380</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>9</td>\n",
" <td>Canada</td>\n",
" <td>7.278</td>\n",
" <td>1.365</td>\n",
" <td>1.505</td>\n",
" <td>1.039</td>\n",
" <td>0.584</td>\n",
" <td>0.285</td>\n",
" <td>0.308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>10</td>\n",
" <td>Austria</td>\n",
" <td>7.246</td>\n",
" <td>1.376</td>\n",
" <td>1.475</td>\n",
" <td>1.016</td>\n",
" <td>0.532</td>\n",
" <td>0.244</td>\n",
" <td>0.226</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>11</td>\n",
" <td>Australia</td>\n",
" <td>7.228</td>\n",
" <td>1.372</td>\n",
" <td>1.548</td>\n",
" <td>1.036</td>\n",
" <td>0.557</td>\n",
" <td>0.332</td>\n",
" <td>0.290</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>12</td>\n",
" <td>Costa Rica</td>\n",
" <td>7.167</td>\n",
" <td>1.034</td>\n",
" <td>1.441</td>\n",
" <td>0.963</td>\n",
" <td>0.558</td>\n",
" <td>0.144</td>\n",
" <td>0.093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>13</td>\n",
" <td>Israel</td>\n",
" <td>7.139</td>\n",
" <td>1.276</td>\n",
" <td>1.455</td>\n",
" <td>1.029</td>\n",
" <td>0.371</td>\n",
" <td>0.261</td>\n",
" <td>0.082</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>14</td>\n",
" <td>Luxembourg</td>\n",
" <td>7.090</td>\n",
" <td>1.609</td>\n",
" <td>1.479</td>\n",
" <td>1.012</td>\n",
" <td>0.526</td>\n",
" <td>0.194</td>\n",
" <td>0.316</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>15</td>\n",
" <td>United Kingdom</td>\n",
" <td>7.054</td>\n",
" <td>1.333</td>\n",
" <td>1.538</td>\n",
" <td>0.996</td>\n",
" <td>0.450</td>\n",
" <td>0.348</td>\n",
" <td>0.278</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16</td>\n",
" <td>Ireland</td>\n",
" <td>7.021</td>\n",
" <td>1.499</td>\n",
" <td>1.553</td>\n",
" <td>0.999</td>\n",
" <td>0.516</td>\n",
" <td>0.298</td>\n",
" <td>0.310</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>17</td>\n",
" <td>Germany</td>\n",
" <td>6.985</td>\n",
" <td>1.373</td>\n",
" <td>1.454</td>\n",
" <td>0.987</td>\n",
" <td>0.495</td>\n",
" <td>0.261</td>\n",
" <td>0.265</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>18</td>\n",
" <td>Belgium</td>\n",
" <td>6.923</td>\n",
" <td>1.356</td>\n",
" <td>1.504</td>\n",
" <td>0.986</td>\n",
" <td>0.473</td>\n",
" <td>0.160</td>\n",
" <td>0.210</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>19</td>\n",
" <td>United States</td>\n",
" <td>6.892</td>\n",
" <td>1.433</td>\n",
" <td>1.457</td>\n",
" <td>0.874</td>\n",
" <td>0.454</td>\n",
" <td>0.280</td>\n",
" <td>0.128</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>20</td>\n",
" <td>Czech Republic</td>\n",
" <td>6.852</td>\n",
" <td>1.269</td>\n",
" <td>1.487</td>\n",
" <td>0.920</td>\n",
" <td>0.457</td>\n",
" <td>0.046</td>\n",
" <td>0.036</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>21</td>\n",
" <td>United Arab Emirates</td>\n",
" <td>6.825</td>\n",
" <td>1.503</td>\n",
" <td>1.310</td>\n",
" <td>0.825</td>\n",
" <td>0.598</td>\n",
" <td>0.262</td>\n",
" <td>0.182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>22</td>\n",
" <td>Malta</td>\n",
" <td>6.726</td>\n",
" <td>1.300</td>\n",
" <td>1.520</td>\n",
" <td>0.999</td>\n",
" <td>0.564</td>\n",
" <td>0.375</td>\n",
" <td>0.151</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>23</td>\n",
" <td>Mexico</td>\n",
" <td>6.595</td>\n",
" <td>1.070</td>\n",
" <td>1.323</td>\n",
" <td>0.861</td>\n",
" <td>0.433</td>\n",
" <td>0.074</td>\n",
" <td>0.073</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>24</td>\n",
" <td>France</td>\n",
" <td>6.592</td>\n",
" <td>1.324</td>\n",
" <td>1.472</td>\n",
" <td>1.045</td>\n",
" <td>0.436</td>\n",
" <td>0.111</td>\n",
" <td>0.183</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>25</td>\n",
" <td>Taiwan</td>\n",
" <td>6.446</td>\n",
" <td>1.368</td>\n",
" <td>1.430</td>\n",
" <td>0.914</td>\n",
" <td>0.351</td>\n",
" <td>0.242</td>\n",
" <td>0.097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>26</td>\n",
" <td>Chile</td>\n",
" <td>6.444</td>\n",
" <td>1.159</td>\n",
" <td>1.369</td>\n",
" <td>0.920</td>\n",
" <td>0.357</td>\n",
" <td>0.187</td>\n",
" <td>0.056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>27</td>\n",
" <td>Guatemala</td>\n",
" <td>6.436</td>\n",
" <td>0.800</td>\n",
" <td>1.269</td>\n",
" <td>0.746</td>\n",
" <td>0.535</td>\n",
" <td>0.175</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>28</td>\n",
" <td>Saudi Arabia</td>\n",
" <td>6.375</td>\n",
" <td>1.403</td>\n",
" <td>1.357</td>\n",
" <td>0.795</td>\n",
" <td>0.439</td>\n",
" <td>0.080</td>\n",
" <td>0.132</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>29</td>\n",
" <td>Qatar</td>\n",
" <td>6.374</td>\n",
" <td>1.684</td>\n",
" <td>1.313</td>\n",
" <td>0.871</td>\n",
" <td>0.555</td>\n",
" <td>0.220</td>\n",
" <td>0.167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>30</td>\n",
" <td>Spain</td>\n",
" <td>6.354</td>\n",
" <td>1.286</td>\n",
" <td>1.484</td>\n",
" <td>1.062</td>\n",
" <td>0.362</td>\n",
" <td>0.153</td>\n",
" <td>0.079</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>31</td>\n",
" <td>Panama</td>\n",
" <td>6.321</td>\n",
" <td>1.149</td>\n",
" <td>1.442</td>\n",
" <td>0.910</td>\n",
" <td>0.516</td>\n",
" <td>0.109</td>\n",
" <td>0.054</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>32</td>\n",
" <td>Brazil</td>\n",
" <td>6.300</td>\n",
" <td>1.004</td>\n",
" <td>1.439</td>\n",
" <td>0.802</td>\n",
" <td>0.390</td>\n",
" <td>0.099</td>\n",
" <td>0.086</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>33</td>\n",
" <td>Uruguay</td>\n",
" <td>6.293</td>\n",
" <td>1.124</td>\n",
" <td>1.465</td>\n",
" <td>0.891</td>\n",
" <td>0.523</td>\n",
" <td>0.127</td>\n",
" <td>0.150</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>34</td>\n",
" <td>Singapore</td>\n",
" <td>6.262</td>\n",
" <td>1.572</td>\n",
" <td>1.463</td>\n",
" <td>1.141</td>\n",
" <td>0.556</td>\n",
" <td>0.271</td>\n",
" <td>0.453</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>35</td>\n",
" <td>El Salvador</td>\n",
" <td>6.253</td>\n",
" <td>0.794</td>\n",
" <td>1.242</td>\n",
" <td>0.789</td>\n",
" <td>0.430</td>\n",
" <td>0.093</td>\n",
" <td>0.074</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>36</td>\n",
" <td>Italy</td>\n",
" <td>6.223</td>\n",
" <td>1.294</td>\n",
" <td>1.488</td>\n",
" <td>1.039</td>\n",
" <td>0.231</td>\n",
" <td>0.158</td>\n",
" <td>0.030</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>37</td>\n",
" <td>Bahrain</td>\n",
" <td>6.199</td>\n",
" <td>1.362</td>\n",
" <td>1.368</td>\n",
" <td>0.871</td>\n",
" <td>0.536</td>\n",
" <td>0.255</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>38</td>\n",
" <td>Slovakia</td>\n",
" <td>6.198</td>\n",
" <td>1.246</td>\n",
" <td>1.504</td>\n",
" <td>0.881</td>\n",
" <td>0.334</td>\n",
" <td>0.121</td>\n",
" <td>0.014</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>39</td>\n",
" <td>Trinidad & Tobago</td>\n",
" <td>6.192</td>\n",
" <td>1.231</td>\n",
" <td>1.477</td>\n",
" <td>0.713</td>\n",
" <td>0.489</td>\n",
" <td>0.185</td>\n",
" <td>0.016</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>40</td>\n",
" <td>Poland</td>\n",
" <td>6.182</td>\n",
" <td>1.206</td>\n",
" <td>1.438</td>\n",
" <td>0.884</td>\n",
" <td>0.483</td>\n",
" <td>0.117</td>\n",
" <td>0.050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>41</td>\n",
" <td>Uzbekistan</td>\n",
" <td>6.174</td>\n",
" <td>0.745</td>\n",
" <td>1.529</td>\n",
" <td>0.756</td>\n",
" <td>0.631</td>\n",
" <td>0.322</td>\n",
" <td>0.240</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>42</td>\n",
" <td>Lithuania</td>\n",
" <td>6.149</td>\n",
" <td>1.238</td>\n",
" <td>1.515</td>\n",
" <td>0.818</td>\n",
" <td>0.291</td>\n",
" <td>0.043</td>\n",
" <td>0.042</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>43</td>\n",
" <td>Colombia</td>\n",
" <td>6.125</td>\n",
" <td>0.985</td>\n",
" <td>1.410</td>\n",
" <td>0.841</td>\n",
" <td>0.470</td>\n",
" <td>0.099</td>\n",
" <td>0.034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>44</td>\n",
" <td>Slovenia</td>\n",
" <td>6.118</td>\n",
" <td>1.258</td>\n",
" <td>1.523</td>\n",
" <td>0.953</td>\n",
" <td>0.564</td>\n",
" <td>0.144</td>\n",
" <td>0.057</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>45</td>\n",
" <td>Nicaragua</td>\n",
" <td>6.105</td>\n",
" <td>0.694</td>\n",
" <td>1.325</td>\n",
" <td>0.835</td>\n",
" <td>0.435</td>\n",
" <td>0.200</td>\n",
" <td>0.127</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>46</td>\n",
" <td>Kosovo</td>\n",
" <td>6.100</td>\n",
" <td>0.882</td>\n",
" <td>1.232</td>\n",
" <td>0.758</td>\n",
" <td>0.489</td>\n",
" <td>0.262</td>\n",
" <td>0.006</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>47</td>\n",
" <td>Argentina</td>\n",
" <td>6.086</td>\n",
" <td>1.092</td>\n",
" <td>1.432</td>\n",
" <td>0.881</td>\n",
" <td>0.471</td>\n",
" <td>0.066</td>\n",
" <td>0.050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>48</td>\n",
" <td>Romania</td>\n",
" <td>6.070</td>\n",
" <td>1.162</td>\n",
" <td>1.232</td>\n",
" <td>0.825</td>\n",
" <td>0.462</td>\n",
" <td>0.083</td>\n",
" <td>0.005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>49</td>\n",
" <td>Cyprus</td>\n",
" <td>6.046</td>\n",
" <td>1.263</td>\n",
" <td>1.223</td>\n",
" <td>1.042</td>\n",
" <td>0.406</td>\n",
" <td>0.190</td>\n",
" <td>0.041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>50</td>\n",
" <td>Ecuador</td>\n",
" <td>6.028</td>\n",
" <td>0.912</td>\n",
" <td>1.312</td>\n",
" <td>0.868</td>\n",
" <td>0.498</td>\n",
" <td>0.126</td>\n",
" <td>0.087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>51</td>\n",
" <td>Kuwait</td>\n",
" <td>6.021</td>\n",
" <td>1.500</td>\n",
" <td>1.319</td>\n",
" <td>0.808</td>\n",
" <td>0.493</td>\n",
" <td>0.142</td>\n",
" <td>0.097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>52</td>\n",
" <td>Thailand</td>\n",
" <td>6.008</td>\n",
" <td>1.050</td>\n",
" <td>1.409</td>\n",
" <td>0.828</td>\n",
" <td>0.557</td>\n",
" <td>0.359</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>53</td>\n",
" <td>Latvia</td>\n",
" <td>5.940</td>\n",
" <td>1.187</td>\n",
" <td>1.465</td>\n",
" <td>0.812</td>\n",
" <td>0.264</td>\n",
" <td>0.075</td>\n",
" <td>0.064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>54</td>\n",
" <td>South Korea</td>\n",
" <td>5.895</td>\n",
" <td>1.301</td>\n",
" <td>1.219</td>\n",
" <td>1.036</td>\n",
" <td>0.159</td>\n",
" <td>0.175</td>\n",
" <td>0.056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>55</td>\n",
" <td>Estonia</td>\n",
" <td>5.893</td>\n",
" <td>1.237</td>\n",
" <td>1.528</td>\n",
" <td>0.874</td>\n",
" <td>0.495</td>\n",
" <td>0.103</td>\n",
" <td>0.161</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>56</td>\n",
" <td>Jamaica</td>\n",
" <td>5.890</td>\n",
" <td>0.831</td>\n",
" <td>1.478</td>\n",
" <td>0.831</td>\n",
" <td>0.490</td>\n",
" <td>0.107</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>57</td>\n",
" <td>Mauritius</td>\n",
" <td>5.888</td>\n",
" <td>1.120</td>\n",
" <td>1.402</td>\n",
" <td>0.798</td>\n",
" <td>0.498</td>\n",
" <td>0.215</td>\n",
" <td>0.060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>58</td>\n",
" <td>Japan</td>\n",
" <td>5.886</td>\n",
" <td>1.327</td>\n",
" <td>1.419</td>\n",
" <td>1.088</td>\n",
" <td>0.445</td>\n",
" <td>0.069</td>\n",
" <td>0.140</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>59</td>\n",
" <td>Honduras</td>\n",
" <td>5.860</td>\n",
" <td>0.642</td>\n",
" <td>1.236</td>\n",
" <td>0.828</td>\n",
" <td>0.507</td>\n",
" <td>0.246</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>60</td>\n",
" <td>Kazakhstan</td>\n",
" <td>5.809</td>\n",
" <td>1.173</td>\n",
" <td>1.508</td>\n",
" <td>0.729</td>\n",
" <td>0.410</td>\n",
" <td>0.146</td>\n",
" <td>0.096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>61</td>\n",
" <td>Bolivia</td>\n",
" <td>5.779</td>\n",
" <td>0.776</td>\n",
" <td>1.209</td>\n",
" <td>0.706</td>\n",
" <td>0.511</td>\n",
" <td>0.137</td>\n",
" <td>0.064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>62</td>\n",
" <td>Hungary</td>\n",
" <td>5.758</td>\n",
" <td>1.201</td>\n",
" <td>1.410</td>\n",
" <td>0.828</td>\n",
" <td>0.199</td>\n",
" <td>0.081</td>\n",
" <td>0.020</td>\n",
" </tr>\n",
" <tr>\n",
" <th>62</th>\n",
" <td>63</td>\n",
" <td>Paraguay</td>\n",
" <td>5.743</td>\n",
" <td>0.855</td>\n",
" <td>1.475</td>\n",
" <td>0.777</td>\n",
" <td>0.514</td>\n",
" <td>0.184</td>\n",
" <td>0.080</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <td>64</td>\n",
" <td>Northern Cyprus</td>\n",
" <td>5.718</td>\n",
" <td>1.263</td>\n",
" <td>1.252</td>\n",
" <td>1.042</td>\n",
" <td>0.417</td>\n",
" <td>0.191</td>\n",
" <td>0.162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>65</td>\n",
" <td>Peru</td>\n",
" <td>5.697</td>\n",
" <td>0.960</td>\n",
" <td>1.274</td>\n",
" <td>0.854</td>\n",
" <td>0.455</td>\n",
" <td>0.083</td>\n",
" <td>0.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>66</td>\n",
" <td>Portugal</td>\n",
" <td>5.693</td>\n",
" <td>1.221</td>\n",
" <td>1.431</td>\n",
" <td>0.999</td>\n",
" <td>0.508</td>\n",
" <td>0.047</td>\n",
" <td>0.025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>67</td>\n",
" <td>Pakistan</td>\n",
" <td>5.653</td>\n",
" <td>0.677</td>\n",
" <td>0.886</td>\n",
" <td>0.535</td>\n",
" <td>0.313</td>\n",
" <td>0.220</td>\n",
" <td>0.098</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td>68</td>\n",
" <td>Russia</td>\n",
" <td>5.648</td>\n",
" <td>1.183</td>\n",
" <td>1.452</td>\n",
" <td>0.726</td>\n",
" <td>0.334</td>\n",
" <td>0.082</td>\n",
" <td>0.031</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>69</td>\n",
" <td>Philippines</td>\n",
" <td>5.631</td>\n",
" <td>0.807</td>\n",
" <td>1.293</td>\n",
" <td>0.657</td>\n",
" <td>0.558</td>\n",
" <td>0.117</td>\n",
" <td>0.107</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>70</td>\n",
" <td>Serbia</td>\n",
" <td>5.603</td>\n",
" <td>1.004</td>\n",
" <td>1.383</td>\n",
" <td>0.854</td>\n",
" <td>0.282</td>\n",
" <td>0.137</td>\n",
" <td>0.039</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>71</td>\n",
" <td>Moldova</td>\n",
" <td>5.529</td>\n",
" <td>0.685</td>\n",
" <td>1.328</td>\n",
" <td>0.739</td>\n",
" <td>0.245</td>\n",
" <td>0.181</td>\n",
" <td>0.000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>72</td>\n",
" <td>Libya</td>\n",
" <td>5.525</td>\n",
" <td>1.044</td>\n",
" <td>1.303</td>\n",
" <td>0.673</td>\n",
" <td>0.416</td>\n",
" <td>0.133</td>\n",
" <td>0.152</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>73</td>\n",
" <td>Montenegro</td>\n",
" <td>5.523</td>\n",
" <td>1.051</td>\n",
" <td>1.361</td>\n",
" <td>0.871</td>\n",
" <td>0.197</td>\n",
" <td>0.142</td>\n",
" <td>0.080</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>74</td>\n",
" <td>Tajikistan</td>\n",
" <td>5.467</td>\n",
" <td>0.493</td>\n",
" <td>1.098</td>\n",
" <td>0.718</td>\n",
" <td>0.389</td>\n",
" <td>0.230</td>\n",
" <td>0.144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>75</td>\n",
" <td>Croatia</td>\n",
" <td>5.432</td>\n",
" <td>1.155</td>\n",
" <td>1.266</td>\n",
" <td>0.914</td>\n",
" <td>0.296</td>\n",
" <td>0.119</td>\n",
" <td>0.022</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td>76</td>\n",
" <td>Hong Kong</td>\n",
" <td>5.430</td>\n",
" <td>1.438</td>\n",
" <td>1.277</td>\n",
" <td>1.122</td>\n",
" <td>0.440</td>\n",
" <td>0.258</td>\n",
" <td>0.287</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>77</td>\n",
" <td>Dominican Republic</td>\n",
" <td>5.425</td>\n",
" <td>1.015</td>\n",
" <td>1.401</td>\n",
" <td>0.779</td>\n",
" <td>0.497</td>\n",
" <td>0.113</td>\n",
" <td>0.101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77</th>\n",
" <td>78</td>\n",
" <td>Bosnia and Herzegovina</td>\n",
" <td>5.386</td>\n",
" <td>0.945</td>\n",
" <td>1.212</td>\n",
" <td>0.845</td>\n",
" <td>0.212</td>\n",
" <td>0.263</td>\n",
" <td>0.006</td>\n",
" </tr>\n",
" <tr>\n",
" <th>78</th>\n",
" <td>79</td>\n",
" <td>Turkey</td>\n",
" <td>5.373</td>\n",
" <td>1.183</td>\n",
" <td>1.360</td>\n",
" <td>0.808</td>\n",
" <td>0.195</td>\n",
" <td>0.083</td>\n",
" <td>0.106</td>\n",
" </tr>\n",
" <tr>\n",
" <th>79</th>\n",
" <td>80</td>\n",
" <td>Malaysia</td>\n",
" <td>5.339</td>\n",
" <td>1.221</td>\n",
" <td>1.171</td>\n",
" <td>0.828</td>\n",
" <td>0.508</td>\n",
" <td>0.260</td>\n",
" <td>0.024</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80</th>\n",
" <td>81</td>\n",
" <td>Belarus</td>\n",
" <td>5.323</td>\n",
" <td>1.067</td>\n",
" <td>1.465</td>\n",
" <td>0.789</td>\n",
" <td>0.235</td>\n",
" <td>0.094</td>\n",
" <td>0.142</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td>82</td>\n",
" <td>Greece</td>\n",
" <td>5.287</td>\n",
" <td>1.181</td>\n",
" <td>1.156</td>\n",
" <td>0.999</td>\n",
" <td>0.067</td>\n",
" <td>0.000</td>\n",
" <td>0.034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>83</td>\n",
" <td>Mongolia</td>\n",
" <td>5.285</td>\n",
" <td>0.948</td>\n",
" <td>1.531</td>\n",
" <td>0.667</td>\n",
" <td>0.317</td>\n",
" <td>0.235</td>\n",
" <td>0.038</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td>84</td>\n",
" <td>North Macedonia</td>\n",
" <td>5.274</td>\n",
" <td>0.983</td>\n",
" <td>1.294</td>\n",
" <td>0.838</td>\n",
" <td>0.345</td>\n",
" <td>0.185</td>\n",
" <td>0.034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td>85</td>\n",
" <td>Nigeria</td>\n",
" <td>5.265</td>\n",
" <td>0.696</td>\n",
" <td>1.111</td>\n",
" <td>0.245</td>\n",
" <td>0.426</td>\n",
" <td>0.215</td>\n",
" <td>0.041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85</th>\n",
" <td>86</td>\n",
" <td>Kyrgyzstan</td>\n",
" <td>5.261</td>\n",
" <td>0.551</td>\n",
" <td>1.438</td>\n",
" <td>0.723</td>\n",
" <td>0.508</td>\n",
" <td>0.300</td>\n",
" <td>0.023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>86</th>\n",
" <td>87</td>\n",
" <td>Turkmenistan</td>\n",
" <td>5.247</td>\n",
" <td>1.052</td>\n",
" <td>1.538</td>\n",
" <td>0.657</td>\n",
" <td>0.394</td>\n",
" <td>0.244</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>87</th>\n",
" <td>88</td>\n",
" <td>Algeria</td>\n",
" <td>5.211</td>\n",
" <td>1.002</td>\n",
" <td>1.160</td>\n",
" <td>0.785</td>\n",
" <td>0.086</td>\n",
" <td>0.073</td>\n",
" <td>0.114</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88</th>\n",
" <td>89</td>\n",
" <td>Morocco</td>\n",
" <td>5.208</td>\n",
" <td>0.801</td>\n",
" <td>0.782</td>\n",
" <td>0.782</td>\n",
" <td>0.418</td>\n",
" <td>0.036</td>\n",
" <td>0.076</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>90</td>\n",
" <td>Azerbaijan</td>\n",
" <td>5.208</td>\n",
" <td>1.043</td>\n",
" <td>1.147</td>\n",
" <td>0.769</td>\n",
" <td>0.351</td>\n",
" <td>0.035</td>\n",
" <td>0.182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90</th>\n",
" <td>91</td>\n",
" <td>Lebanon</td>\n",
" <td>5.197</td>\n",
" <td>0.987</td>\n",
" <td>1.224</td>\n",
" <td>0.815</td>\n",
" <td>0.216</td>\n",
" <td>0.166</td>\n",
" <td>0.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91</th>\n",
" <td>92</td>\n",
" <td>Indonesia</td>\n",
" <td>5.192</td>\n",
" <td>0.931</td>\n",
" <td>1.203</td>\n",
" <td>0.660</td>\n",
" <td>0.491</td>\n",
" <td>0.498</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92</th>\n",
" <td>93</td>\n",
" <td>China</td>\n",
" <td>5.191</td>\n",
" <td>1.029</td>\n",
" <td>1.125</td>\n",
" <td>0.893</td>\n",
" <td>0.521</td>\n",
" <td>0.058</td>\n",
" <td>0.100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>93</th>\n",
" <td>94</td>\n",
" <td>Vietnam</td>\n",
" <td>5.175</td>\n",
" <td>0.741</td>\n",
" <td>1.346</td>\n",
" <td>0.851</td>\n",
" <td>0.543</td>\n",
" <td>0.147</td>\n",
" <td>0.073</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94</th>\n",
" <td>95</td>\n",
" <td>Bhutan</td>\n",
" <td>5.082</td>\n",
" <td>0.813</td>\n",
" <td>1.321</td>\n",
" <td>0.604</td>\n",
" <td>0.457</td>\n",
" <td>0.370</td>\n",
" <td>0.167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>96</td>\n",
" <td>Cameroon</td>\n",
" <td>5.044</td>\n",
" <td>0.549</td>\n",
" <td>0.910</td>\n",
" <td>0.331</td>\n",
" <td>0.381</td>\n",
" <td>0.187</td>\n",
" <td>0.037</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>97</td>\n",
" <td>Bulgaria</td>\n",
" <td>5.011</td>\n",
" <td>1.092</td>\n",
" <td>1.513</td>\n",
" <td>0.815</td>\n",
" <td>0.311</td>\n",
" <td>0.081</td>\n",
" <td>0.004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>98</td>\n",
" <td>Ghana</td>\n",
" <td>4.996</td>\n",
" <td>0.611</td>\n",
" <td>0.868</td>\n",
" <td>0.486</td>\n",
" <td>0.381</td>\n",
" <td>0.245</td>\n",
" <td>0.040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>99</td>\n",
" <td>Ivory Coast</td>\n",
" <td>4.944</td>\n",
" <td>0.569</td>\n",
" <td>0.808</td>\n",
" <td>0.232</td>\n",
" <td>0.352</td>\n",
" <td>0.154</td>\n",
" <td>0.090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>100</td>\n",
" <td>Nepal</td>\n",
" <td>4.913</td>\n",
" <td>0.446</td>\n",
" <td>1.226</td>\n",
" <td>0.677</td>\n",
" <td>0.439</td>\n",
" <td>0.285</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>101</td>\n",
" <td>Jordan</td>\n",
" <td>4.906</td>\n",
" <td>0.837</td>\n",
" <td>1.225</td>\n",
" <td>0.815</td>\n",
" <td>0.383</td>\n",
" <td>0.110</td>\n",
" <td>0.130</td>\n",
" </tr>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>102</td>\n",
" <td>Benin</td>\n",
" <td>4.883</td>\n",
" <td>0.393</td>\n",
" <td>0.437</td>\n",
" <td>0.397</td>\n",
" <td>0.349</td>\n",
" <td>0.175</td>\n",
" <td>0.082</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102</th>\n",
" <td>103</td>\n",
" <td>Congo (Brazzaville)</td>\n",
" <td>4.812</td>\n",
" <td>0.673</td>\n",
" <td>0.799</td>\n",
" <td>0.508</td>\n",
" <td>0.372</td>\n",
" <td>0.105</td>\n",
" <td>0.093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>103</th>\n",
" <td>104</td>\n",
" <td>Gabon</td>\n",
" <td>4.799</td>\n",
" <td>1.057</td>\n",
" <td>1.183</td>\n",
" <td>0.571</td>\n",
" <td>0.295</td>\n",
" <td>0.043</td>\n",
" <td>0.055</td>\n",
" </tr>\n",
" <tr>\n",
" <th>104</th>\n",
" <td>105</td>\n",
" <td>Laos</td>\n",
" <td>4.796</td>\n",
" <td>0.764</td>\n",
" <td>1.030</td>\n",
" <td>0.551</td>\n",
" <td>0.547</td>\n",
" <td>0.266</td>\n",
" <td>0.164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>105</th>\n",
" <td>106</td>\n",
" <td>South Africa</td>\n",
" <td>4.722</td>\n",
" <td>0.960</td>\n",
" <td>1.351</td>\n",
" <td>0.469</td>\n",
" <td>0.389</td>\n",
" <td>0.130</td>\n",
" <td>0.055</td>\n",
" </tr>\n",
" <tr>\n",
" <th>106</th>\n",
" <td>107</td>\n",
" <td>Albania</td>\n",
" <td>4.719</td>\n",
" <td>0.947</td>\n",
" <td>0.848</td>\n",
" <td>0.874</td>\n",
" <td>0.383</td>\n",
" <td>0.178</td>\n",
" <td>0.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>107</th>\n",
" <td>108</td>\n",
" <td>Venezuela</td>\n",
" <td>4.707</td>\n",
" <td>0.960</td>\n",
" <td>1.427</td>\n",
" <td>0.805</td>\n",
" <td>0.154</td>\n",
" <td>0.064</td>\n",
" <td>0.047</td>\n",
" </tr>\n",
" <tr>\n",
" <th>108</th>\n",
" <td>109</td>\n",
" <td>Cambodia</td>\n",
" <td>4.700</td>\n",
" <td>0.574</td>\n",
" <td>1.122</td>\n",
" <td>0.637</td>\n",
" <td>0.609</td>\n",
" <td>0.232</td>\n",
" <td>0.062</td>\n",
" </tr>\n",
" <tr>\n",
" <th>109</th>\n",
" <td>110</td>\n",
" <td>Palestinian Territories</td>\n",
" <td>4.696</td>\n",
" <td>0.657</td>\n",
" <td>1.247</td>\n",
" <td>0.672</td>\n",
" <td>0.225</td>\n",
" <td>0.103</td>\n",
" <td>0.066</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>111</td>\n",
" <td>Senegal</td>\n",
" <td>4.681</td>\n",
" <td>0.450</td>\n",
" <td>1.134</td>\n",
" <td>0.571</td>\n",
" <td>0.292</td>\n",
" <td>0.153</td>\n",
" <td>0.072</td>\n",
" </tr>\n",
" <tr>\n",
" <th>111</th>\n",
" <td>112</td>\n",
" <td>Somalia</td>\n",
" <td>4.668</td>\n",
" <td>0.000</td>\n",
" <td>0.698</td>\n",
" <td>0.268</td>\n",
" <td>0.559</td>\n",
" <td>0.243</td>\n",
" <td>0.270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>113</td>\n",
" <td>Namibia</td>\n",
" <td>4.639</td>\n",
" <td>0.879</td>\n",
" <td>1.313</td>\n",
" <td>0.477</td>\n",
" <td>0.401</td>\n",
" <td>0.070</td>\n",
" <td>0.056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>113</th>\n",
" <td>114</td>\n",
" <td>Niger</td>\n",
" <td>4.628</td>\n",
" <td>0.138</td>\n",
" <td>0.774</td>\n",
" <td>0.366</td>\n",
" <td>0.318</td>\n",
" <td>0.188</td>\n",
" <td>0.102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>114</th>\n",
" <td>115</td>\n",
" <td>Burkina Faso</td>\n",
" <td>4.587</td>\n",
" <td>0.331</td>\n",
" <td>1.056</td>\n",
" <td>0.380</td>\n",
" <td>0.255</td>\n",
" <td>0.177</td>\n",
" <td>0.113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115</th>\n",
" <td>116</td>\n",
" <td>Armenia</td>\n",
" <td>4.559</td>\n",
" <td>0.850</td>\n",
" <td>1.055</td>\n",
" <td>0.815</td>\n",
" <td>0.283</td>\n",
" <td>0.095</td>\n",
" <td>0.064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>116</th>\n",
" <td>117</td>\n",
" <td>Iran</td>\n",
" <td>4.548</td>\n",
" <td>1.100</td>\n",
" <td>0.842</td>\n",
" <td>0.785</td>\n",
" <td>0.305</td>\n",
" <td>0.270</td>\n",
" <td>0.125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>118</td>\n",
" <td>Guinea</td>\n",
" <td>4.534</td>\n",
" <td>0.380</td>\n",
" <td>0.829</td>\n",
" <td>0.375</td>\n",
" <td>0.332</td>\n",
" <td>0.207</td>\n",
" <td>0.086</td>\n",
" </tr>\n",
" <tr>\n",
" <th>118</th>\n",
" <td>119</td>\n",
" <td>Georgia</td>\n",
" <td>4.519</td>\n",
" <td>0.886</td>\n",
" <td>0.666</td>\n",
" <td>0.752</td>\n",
" <td>0.346</td>\n",
" <td>0.043</td>\n",
" <td>0.164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>120</td>\n",
" <td>Gambia</td>\n",
" <td>4.516</td>\n",
" <td>0.308</td>\n",
" <td>0.939</td>\n",
" <td>0.428</td>\n",
" <td>0.382</td>\n",
" <td>0.269</td>\n",
" <td>0.167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>121</td>\n",
" <td>Kenya</td>\n",
" <td>4.509</td>\n",
" <td>0.512</td>\n",
" <td>0.983</td>\n",
" <td>0.581</td>\n",
" <td>0.431</td>\n",
" <td>0.372</td>\n",
" <td>0.053</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>122</td>\n",
" <td>Mauritania</td>\n",
" <td>4.490</td>\n",
" <td>0.570</td>\n",
" <td>1.167</td>\n",
" <td>0.489</td>\n",
" <td>0.066</td>\n",
" <td>0.106</td>\n",
" <td>0.088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>123</td>\n",
" <td>Mozambique</td>\n",
" <td>4.466</td>\n",
" <td>0.204</td>\n",
" <td>0.986</td>\n",
" <td>0.390</td>\n",
" <td>0.494</td>\n",
" <td>0.197</td>\n",
" <td>0.138</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>124</td>\n",
" <td>Tunisia</td>\n",
" <td>4.461</td>\n",
" <td>0.921</td>\n",
" <td>1.000</td>\n",
" <td>0.815</td>\n",
" <td>0.167</td>\n",
" <td>0.059</td>\n",
" <td>0.055</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>125</td>\n",
" <td>Bangladesh</td>\n",
" <td>4.456</td>\n",
" <td>0.562</td>\n",
" <td>0.928</td>\n",
" <td>0.723</td>\n",
" <td>0.527</td>\n",
" <td>0.166</td>\n",
" <td>0.143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>125</th>\n",
" <td>126</td>\n",
" <td>Iraq</td>\n",
" <td>4.437</td>\n",
" <td>1.043</td>\n",
" <td>0.980</td>\n",
" <td>0.574</td>\n",
" <td>0.241</td>\n",
" <td>0.148</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>127</td>\n",
" <td>Congo (Kinshasa)</td>\n",
" <td>4.418</td>\n",
" <td>0.094</td>\n",
" <td>1.125</td>\n",
" <td>0.357</td>\n",
" <td>0.269</td>\n",
" <td>0.212</td>\n",
" <td>0.053</td>\n",
" </tr>\n",
" <tr>\n",
" <th>127</th>\n",
" <td>128</td>\n",
" <td>Mali</td>\n",
" <td>4.390</td>\n",
" <td>0.385</td>\n",
" <td>1.105</td>\n",
" <td>0.308</td>\n",
" <td>0.327</td>\n",
" <td>0.153</td>\n",
" <td>0.052</td>\n",
" </tr>\n",
" <tr>\n",
" <th>128</th>\n",
" <td>129</td>\n",
" <td>Sierra Leone</td>\n",
" <td>4.374</td>\n",
" <td>0.268</td>\n",
" <td>0.841</td>\n",
" <td>0.242</td>\n",
" <td>0.309</td>\n",
" <td>0.252</td>\n",
" <td>0.045</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>130</td>\n",
" <td>Sri Lanka</td>\n",
" <td>4.366</td>\n",
" <td>0.949</td>\n",
" <td>1.265</td>\n",
" <td>0.831</td>\n",
" <td>0.470</td>\n",
" <td>0.244</td>\n",
" <td>0.047</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>131</td>\n",
" <td>Myanmar</td>\n",
" <td>4.360</td>\n",
" <td>0.710</td>\n",
" <td>1.181</td>\n",
" <td>0.555</td>\n",
" <td>0.525</td>\n",
" <td>0.566</td>\n",
" <td>0.172</td>\n",
" </tr>\n",
" <tr>\n",
" <th>131</th>\n",
" <td>132</td>\n",
" <td>Chad</td>\n",
" <td>4.350</td>\n",
" <td>0.350</td>\n",
" <td>0.766</td>\n",
" <td>0.192</td>\n",
" <td>0.174</td>\n",
" <td>0.198</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>132</th>\n",
" <td>133</td>\n",
" <td>Ukraine</td>\n",
" <td>4.332</td>\n",
" <td>0.820</td>\n",
" <td>1.390</td>\n",
" <td>0.739</td>\n",
" <td>0.178</td>\n",
" <td>0.187</td>\n",
" <td>0.010</td>\n",
" </tr>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>134</td>\n",
" <td>Ethiopia</td>\n",
" <td>4.286</td>\n",
" <td>0.336</td>\n",
" <td>1.033</td>\n",
" <td>0.532</td>\n",
" <td>0.344</td>\n",
" <td>0.209</td>\n",
" <td>0.100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>134</th>\n",
" <td>135</td>\n",
" <td>Swaziland</td>\n",
" <td>4.212</td>\n",
" <td>0.811</td>\n",
" <td>1.149</td>\n",
" <td>0.000</td>\n",
" <td>0.313</td>\n",
" <td>0.074</td>\n",
" <td>0.135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>136</td>\n",
" <td>Uganda</td>\n",
" <td>4.189</td>\n",
" <td>0.332</td>\n",
" <td>1.069</td>\n",
" <td>0.443</td>\n",
" <td>0.356</td>\n",
" <td>0.252</td>\n",
" <td>0.060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>136</th>\n",
" <td>137</td>\n",
" <td>Egypt</td>\n",
" <td>4.166</td>\n",
" <td>0.913</td>\n",
" <td>1.039</td>\n",
" <td>0.644</td>\n",
" <td>0.241</td>\n",
" <td>0.076</td>\n",
" <td>0.067</td>\n",
" </tr>\n",
" <tr>\n",
" <th>137</th>\n",
" <td>138</td>\n",
" <td>Zambia</td>\n",
" <td>4.107</td>\n",
" <td>0.578</td>\n",
" <td>1.058</td>\n",
" <td>0.426</td>\n",
" <td>0.431</td>\n",
" <td>0.247</td>\n",
" <td>0.087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>139</td>\n",
" <td>Togo</td>\n",
" <td>4.085</td>\n",
" <td>0.275</td>\n",
" <td>0.572</td>\n",
" <td>0.410</td>\n",
" <td>0.293</td>\n",
" <td>0.177</td>\n",
" <td>0.085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>139</th>\n",
" <td>140</td>\n",
" <td>India</td>\n",
" <td>4.015</td>\n",
" <td>0.755</td>\n",
" <td>0.765</td>\n",
" <td>0.588</td>\n",
" <td>0.498</td>\n",
" <td>0.200</td>\n",
" <td>0.085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>140</th>\n",
" <td>141</td>\n",
" <td>Liberia</td>\n",
" <td>3.975</td>\n",
" <td>0.073</td>\n",
" <td>0.922</td>\n",
" <td>0.443</td>\n",
" <td>0.370</td>\n",
" <td>0.233</td>\n",
" <td>0.033</td>\n",
" </tr>\n",
" <tr>\n",
" <th>141</th>\n",
" <td>142</td>\n",
" <td>Comoros</td>\n",
" <td>3.973</td>\n",
" <td>0.274</td>\n",
" <td>0.757</td>\n",
" <td>0.505</td>\n",
" <td>0.142</td>\n",
" <td>0.275</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>142</th>\n",
" <td>143</td>\n",
" <td>Madagascar</td>\n",
" <td>3.933</td>\n",
" <td>0.274</td>\n",
" <td>0.916</td>\n",
" <td>0.555</td>\n",
" <td>0.148</td>\n",
" <td>0.169</td>\n",
" <td>0.041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143</th>\n",
" <td>144</td>\n",
" <td>Lesotho</td>\n",
" <td>3.802</td>\n",
" <td>0.489</td>\n",
" <td>1.169</td>\n",
" <td>0.168</td>\n",
" <td>0.359</td>\n",
" <td>0.107</td>\n",
" <td>0.093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>144</th>\n",
" <td>145</td>\n",
" <td>Burundi</td>\n",
" <td>3.775</td>\n",
" <td>0.046</td>\n",
" <td>0.447</td>\n",
" <td>0.380</td>\n",
" <td>0.220</td>\n",
" <td>0.176</td>\n",
" <td>0.180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>145</th>\n",
" <td>146</td>\n",
" <td>Zimbabwe</td>\n",
" <td>3.663</td>\n",
" <td>0.366</td>\n",
" <td>1.114</td>\n",
" <td>0.433</td>\n",
" <td>0.361</td>\n",
" <td>0.151</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>147</td>\n",
" <td>Haiti</td>\n",
" <td>3.597</td>\n",
" <td>0.323</td>\n",
" <td>0.688</td>\n",
" <td>0.449</td>\n",
" <td>0.026</td>\n",
" <td>0.419</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>147</th>\n",
" <td>148</td>\n",
" <td>Botswana</td>\n",
" <td>3.488</td>\n",
" <td>1.041</td>\n",
" <td>1.145</td>\n",
" <td>0.538</td>\n",
" <td>0.455</td>\n",
" <td>0.025</td>\n",
" <td>0.100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148</th>\n",
" <td>149</td>\n",
" <td>Syria</td>\n",
" <td>3.462</td>\n",
" <td>0.619</td>\n",
" <td>0.378</td>\n",
" <td>0.440</td>\n",
" <td>0.013</td>\n",
" <td>0.331</td>\n",
" <td>0.141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>149</th>\n",
" <td>150</td>\n",
" <td>Malawi</td>\n",
" <td>3.410</td>\n",
" <td>0.191</td>\n",
" <td>0.560</td>\n",
" <td>0.495</td>\n",
" <td>0.443</td>\n",
" <td>0.218</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>150</th>\n",
" <td>151</td>\n",
" <td>Yemen</td>\n",
" <td>3.380</td>\n",
" <td>0.287</td>\n",
" <td>1.163</td>\n",
" <td>0.463</td>\n",
" <td>0.143</td>\n",
" <td>0.108</td>\n",
" <td>0.077</td>\n",
" </tr>\n",
" <tr>\n",
" <th>151</th>\n",
" <td>152</td>\n",
" <td>Rwanda</td>\n",
" <td>3.334</td>\n",
" <td>0.359</td>\n",
" <td>0.711</td>\n",
" <td>0.614</td>\n",
" <td>0.555</td>\n",
" <td>0.217</td>\n",
" <td>0.411</td>\n",
" </tr>\n",
" <tr>\n",
" <th>152</th>\n",
" <td>153</td>\n",
" <td>Tanzania</td>\n",
" <td>3.231</td>\n",
" <td>0.476</td>\n",
" <td>0.885</td>\n",
" <td>0.499</td>\n",
" <td>0.417</td>\n",
" <td>0.276</td>\n",
" <td>0.147</td>\n",
" </tr>\n",
" <tr>\n",
" <th>153</th>\n",
" <td>154</td>\n",
" <td>Afghanistan</td>\n",
" <td>3.203</td>\n",
" <td>0.350</td>\n",
" <td>0.517</td>\n",
" <td>0.361</td>\n",
" <td>0.000</td>\n",
" <td>0.158</td>\n",
" <td>0.025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154</th>\n",
" <td>155</td>\n",
" <td>Central African Republic</td>\n",
" <td>3.083</td>\n",
" <td>0.026</td>\n",
" <td>0.000</td>\n",
" <td>0.105</td>\n",
" <td>0.225</td>\n",
" <td>0.235</td>\n",
" <td>0.035</td>\n",
" </tr>\n",
" <tr>\n",
" <th>155</th>\n",
" <td>156</td>\n",
" <td>South Sudan</td>\n",
" <td>2.853</td>\n",
" <td>0.306</td>\n",
" <td>0.575</td>\n",
" <td>0.295</td>\n",
" <td>0.010</td>\n",
" <td>0.202</td>\n",
" <td>0.091</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Overall rank Country or region Score GDP per capita \\\n",
"0 1 Finland 7.769 1.340 \n",
"1 2 Denmark 7.600 1.383 \n",
"2 3 Norway 7.554 1.488 \n",
"3 4 Iceland 7.494 1.380 \n",
"4 5 Netherlands 7.488 1.396 \n",
"5 6 Switzerland 7.480 1.452 \n",
"6 7 Sweden 7.343 1.387 \n",
"7 8 New Zealand 7.307 1.303 \n",
"8 9 Canada 7.278 1.365 \n",
"9 10 Austria 7.246 1.376 \n",
"10 11 Australia 7.228 1.372 \n",
"11 12 Costa Rica 7.167 1.034 \n",
"12 13 Israel 7.139 1.276 \n",
"13 14 Luxembourg 7.090 1.609 \n",
"14 15 United Kingdom 7.054 1.333 \n",
"15 16 Ireland 7.021 1.499 \n",
"16 17 Germany 6.985 1.373 \n",
"17 18 Belgium 6.923 1.356 \n",
"18 19 United States 6.892 1.433 \n",
"19 20 Czech Republic 6.852 1.269 \n",
"20 21 United Arab Emirates 6.825 1.503 \n",
"21 22 Malta 6.726 1.300 \n",
"22 23 Mexico 6.595 1.070 \n",
"23 24 France 6.592 1.324 \n",
"24 25 Taiwan 6.446 1.368 \n",
"25 26 Chile 6.444 1.159 \n",
"26 27 Guatemala 6.436 0.800 \n",
"27 28 Saudi Arabia 6.375 1.403 \n",
"28 29 Qatar 6.374 1.684 \n",
"29 30 Spain 6.354 1.286 \n",
"30 31 Panama 6.321 1.149 \n",
"31 32 Brazil 6.300 1.004 \n",
"32 33 Uruguay 6.293 1.124 \n",
"33 34 Singapore 6.262 1.572 \n",
"34 35 El Salvador 6.253 0.794 \n",
"35 36 Italy 6.223 1.294 \n",
"36 37 Bahrain 6.199 1.362 \n",
"37 38 Slovakia 6.198 1.246 \n",
"38 39 Trinidad & Tobago 6.192 1.231 \n",
"39 40 Poland 6.182 1.206 \n",
"40 41 Uzbekistan 6.174 0.745 \n",
"41 42 Lithuania 6.149 1.238 \n",
"42 43 Colombia 6.125 0.985 \n",
"43 44 Slovenia 6.118 1.258 \n",
"44 45 Nicaragua 6.105 0.694 \n",
"45 46 Kosovo 6.100 0.882 \n",
"46 47 Argentina 6.086 1.092 \n",
"47 48 Romania 6.070 1.162 \n",
"48 49 Cyprus 6.046 1.263 \n",
"49 50 Ecuador 6.028 0.912 \n",
"50 51 Kuwait 6.021 1.500 \n",
"51 52 Thailand 6.008 1.050 \n",
"52 53 Latvia 5.940 1.187 \n",
"53 54 South Korea 5.895 1.301 \n",
"54 55 Estonia 5.893 1.237 \n",
"55 56 Jamaica 5.890 0.831 \n",
"56 57 Mauritius 5.888 1.120 \n",
"57 58 Japan 5.886 1.327 \n",
"58 59 Honduras 5.860 0.642 \n",
"59 60 Kazakhstan 5.809 1.173 \n",
"60 61 Bolivia 5.779 0.776 \n",
"61 62 Hungary 5.758 1.201 \n",
"62 63 Paraguay 5.743 0.855 \n",
"63 64 Northern Cyprus 5.718 1.263 \n",
"64 65 Peru 5.697 0.960 \n",
"65 66 Portugal 5.693 1.221 \n",
"66 67 Pakistan 5.653 0.677 \n",
"67 68 Russia 5.648 1.183 \n",
"68 69 Philippines 5.631 0.807 \n",
"69 70 Serbia 5.603 1.004 \n",
"70 71 Moldova 5.529 0.685 \n",
"71 72 Libya 5.525 1.044 \n",
"72 73 Montenegro 5.523 1.051 \n",
"73 74 Tajikistan 5.467 0.493 \n",
"74 75 Croatia 5.432 1.155 \n",
"75 76 Hong Kong 5.430 1.438 \n",
"76 77 Dominican Republic 5.425 1.015 \n",
"77 78 Bosnia and Herzegovina 5.386 0.945 \n",
"78 79 Turkey 5.373 1.183 \n",
"79 80 Malaysia 5.339 1.221 \n",
"80 81 Belarus 5.323 1.067 \n",
"81 82 Greece 5.287 1.181 \n",
"82 83 Mongolia 5.285 0.948 \n",
"83 84 North Macedonia 5.274 0.983 \n",
"84 85 Nigeria 5.265 0.696 \n",
"85 86 Kyrgyzstan 5.261 0.551 \n",
"86 87 Turkmenistan 5.247 1.052 \n",
"87 88 Algeria 5.211 1.002 \n",
"88 89 Morocco 5.208 0.801 \n",
"89 90 Azerbaijan 5.208 1.043 \n",
"90 91 Lebanon 5.197 0.987 \n",
"91 92 Indonesia 5.192 0.931 \n",
"92 93 China 5.191 1.029 \n",
"93 94 Vietnam 5.175 0.741 \n",
"94 95 Bhutan 5.082 0.813 \n",
"95 96 Cameroon 5.044 0.549 \n",
"96 97 Bulgaria 5.011 1.092 \n",
"97 98 Ghana 4.996 0.611 \n",
"98 99 Ivory Coast 4.944 0.569 \n",
"99 100 Nepal 4.913 0.446 \n",
"100 101 Jordan 4.906 0.837 \n",
"101 102 Benin 4.883 0.393 \n",
"102 103 Congo (Brazzaville) 4.812 0.673 \n",
"103 104 Gabon 4.799 1.057 \n",
"104 105 Laos 4.796 0.764 \n",
"105 106 South Africa 4.722 0.960 \n",
"106 107 Albania 4.719 0.947 \n",
"107 108 Venezuela 4.707 0.960 \n",
"108 109 Cambodia 4.700 0.574 \n",
"109 110 Palestinian Territories 4.696 0.657 \n",
"110 111 Senegal 4.681 0.450 \n",
"111 112 Somalia 4.668 0.000 \n",
"112 113 Namibia 4.639 0.879 \n",
"113 114 Niger 4.628 0.138 \n",
"114 115 Burkina Faso 4.587 0.331 \n",
"115 116 Armenia 4.559 0.850 \n",
"116 117 Iran 4.548 1.100 \n",
"117 118 Guinea 4.534 0.380 \n",
"118 119 Georgia 4.519 0.886 \n",
"119 120 Gambia 4.516 0.308 \n",
"120 121 Kenya 4.509 0.512 \n",
"121 122 Mauritania 4.490 0.570 \n",
"122 123 Mozambique 4.466 0.204 \n",
"123 124 Tunisia 4.461 0.921 \n",
"124 125 Bangladesh 4.456 0.562 \n",
"125 126 Iraq 4.437 1.043 \n",
"126 127 Congo (Kinshasa) 4.418 0.094 \n",
"127 128 Mali 4.390 0.385 \n",
"128 129 Sierra Leone 4.374 0.268 \n",
"129 130 Sri Lanka 4.366 0.949 \n",
"130 131 Myanmar 4.360 0.710 \n",
"131 132 Chad 4.350 0.350 \n",
"132 133 Ukraine 4.332 0.820 \n",
"133 134 Ethiopia 4.286 0.336 \n",
"134 135 Swaziland 4.212 0.811 \n",
"135 136 Uganda 4.189 0.332 \n",
"136 137 Egypt 4.166 0.913 \n",
"137 138 Zambia 4.107 0.578 \n",
"138 139 Togo 4.085 0.275 \n",
"139 140 India 4.015 0.755 \n",
"140 141 Liberia 3.975 0.073 \n",
"141 142 Comoros 3.973 0.274 \n",
"142 143 Madagascar 3.933 0.274 \n",
"143 144 Lesotho 3.802 0.489 \n",
"144 145 Burundi 3.775 0.046 \n",
"145 146 Zimbabwe 3.663 0.366 \n",
"146 147 Haiti 3.597 0.323 \n",
"147 148 Botswana 3.488 1.041 \n",
"148 149 Syria 3.462 0.619 \n",
"149 150 Malawi 3.410 0.191 \n",
"150 151 Yemen 3.380 0.287 \n",
"151 152 Rwanda 3.334 0.359 \n",
"152 153 Tanzania 3.231 0.476 \n",
"153 154 Afghanistan 3.203 0.350 \n",
"154 155 Central African Republic 3.083 0.026 \n",
"155 156 South Sudan 2.853 0.306 \n",
"\n",
" Social support Healthy life expectancy Freedom to make life choices \\\n",
"0 1.587 0.986 0.596 \n",
"1 1.573 0.996 0.592 \n",
"2 1.582 1.028 0.603 \n",
"3 1.624 1.026 0.591 \n",
"4 1.522 0.999 0.557 \n",
"5 1.526 1.052 0.572 \n",
"6 1.487 1.009 0.574 \n",
"7 1.557 1.026 0.585 \n",
"8 1.505 1.039 0.584 \n",
"9 1.475 1.016 0.532 \n",
"10 1.548 1.036 0.557 \n",
"11 1.441 0.963 0.558 \n",
"12 1.455 1.029 0.371 \n",
"13 1.479 1.012 0.526 \n",
"14 1.538 0.996 0.450 \n",
"15 1.553 0.999 0.516 \n",
"16 1.454 0.987 0.495 \n",
"17 1.504 0.986 0.473 \n",
"18 1.457 0.874 0.454 \n",
"19 1.487 0.920 0.457 \n",
"20 1.310 0.825 0.598 \n",
"21 1.520 0.999 0.564 \n",
"22 1.323 0.861 0.433 \n",
"23 1.472 1.045 0.436 \n",
"24 1.430 0.914 0.351 \n",
"25 1.369 0.920 0.357 \n",
"26 1.269 0.746 0.535 \n",
"27 1.357 0.795 0.439 \n",
"28 1.313 0.871 0.555 \n",
"29 1.484 1.062 0.362 \n",
"30 1.442 0.910 0.516 \n",
"31 1.439 0.802 0.390 \n",
"32 1.465 0.891 0.523 \n",
"33 1.463 1.141 0.556 \n",
"34 1.242 0.789 0.430 \n",
"35 1.488 1.039 0.231 \n",
"36 1.368 0.871 0.536 \n",
"37 1.504 0.881 0.334 \n",
"38 1.477 0.713 0.489 \n",
"39 1.438 0.884 0.483 \n",
"40 1.529 0.756 0.631 \n",
"41 1.515 0.818 0.291 \n",
"42 1.410 0.841 0.470 \n",
"43 1.523 0.953 0.564 \n",
"44 1.325 0.835 0.435 \n",
"45 1.232 0.758 0.489 \n",
"46 1.432 0.881 0.471 \n",
"47 1.232 0.825 0.462 \n",
"48 1.223 1.042 0.406 \n",
"49 1.312 0.868 0.498 \n",
"50 1.319 0.808 0.493 \n",
"51 1.409 0.828 0.557 \n",
"52 1.465 0.812 0.264 \n",
"53 1.219 1.036 0.159 \n",
"54 1.528 0.874 0.495 \n",
"55 1.478 0.831 0.490 \n",
"56 1.402 0.798 0.498 \n",
"57 1.419 1.088 0.445 \n",
"58 1.236 0.828 0.507 \n",
"59 1.508 0.729 0.410 \n",
"60 1.209 0.706 0.511 \n",
"61 1.410 0.828 0.199 \n",
"62 1.475 0.777 0.514 \n",
"63 1.252 1.042 0.417 \n",
"64 1.274 0.854 0.455 \n",
"65 1.431 0.999 0.508 \n",
"66 0.886 0.535 0.313 \n",
"67 1.452 0.726 0.334 \n",
"68 1.293 0.657 0.558 \n",
"69 1.383 0.854 0.282 \n",
"70 1.328 0.739 0.245 \n",
"71 1.303 0.673 0.416 \n",
"72 1.361 0.871 0.197 \n",
"73 1.098 0.718 0.389 \n",
"74 1.266 0.914 0.296 \n",
"75 1.277 1.122 0.440 \n",
"76 1.401 0.779 0.497 \n",
"77 1.212 0.845 0.212 \n",
"78 1.360 0.808 0.195 \n",
"79 1.171 0.828 0.508 \n",
"80 1.465 0.789 0.235 \n",
"81 1.156 0.999 0.067 \n",
"82 1.531 0.667 0.317 \n",
"83 1.294 0.838 0.345 \n",
"84 1.111 0.245 0.426 \n",
"85 1.438 0.723 0.508 \n",
"86 1.538 0.657 0.394 \n",
"87 1.160 0.785 0.086 \n",
"88 0.782 0.782 0.418 \n",
"89 1.147 0.769 0.351 \n",
"90 1.224 0.815 0.216 \n",
"91 1.203 0.660 0.491 \n",
"92 1.125 0.893 0.521 \n",
"93 1.346 0.851 0.543 \n",
"94 1.321 0.604 0.457 \n",
"95 0.910 0.331 0.381 \n",
"96 1.513 0.815 0.311 \n",
"97 0.868 0.486 0.381 \n",
"98 0.808 0.232 0.352 \n",
"99 1.226 0.677 0.439 \n",
"100 1.225 0.815 0.383 \n",
"101 0.437 0.397 0.349 \n",
"102 0.799 0.508 0.372 \n",
"103 1.183 0.571 0.295 \n",
"104 1.030 0.551 0.547 \n",
"105 1.351 0.469 0.389 \n",
"106 0.848 0.874 0.383 \n",
"107 1.427 0.805 0.154 \n",
"108 1.122 0.637 0.609 \n",
"109 1.247 0.672 0.225 \n",
"110 1.134 0.571 0.292 \n",
"111 0.698 0.268 0.559 \n",
"112 1.313 0.477 0.401 \n",
"113 0.774 0.366 0.318 \n",
"114 1.056 0.380 0.255 \n",
"115 1.055 0.815 0.283 \n",
"116 0.842 0.785 0.305 \n",
"117 0.829 0.375 0.332 \n",
"118 0.666 0.752 0.346 \n",
"119 0.939 0.428 0.382 \n",
"120 0.983 0.581 0.431 \n",
"121 1.167 0.489 0.066 \n",
"122 0.986 0.390 0.494 \n",
"123 1.000 0.815 0.167 \n",
"124 0.928 0.723 0.527 \n",
"125 0.980 0.574 0.241 \n",
"126 1.125 0.357 0.269 \n",
"127 1.105 0.308 0.327 \n",
"128 0.841 0.242 0.309 \n",
"129 1.265 0.831 0.470 \n",
"130 1.181 0.555 0.525 \n",
"131 0.766 0.192 0.174 \n",
"132 1.390 0.739 0.178 \n",
"133 1.033 0.532 0.344 \n",
"134 1.149 0.000 0.313 \n",
"135 1.069 0.443 0.356 \n",
"136 1.039 0.644 0.241 \n",
"137 1.058 0.426 0.431 \n",
"138 0.572 0.410 0.293 \n",
"139 0.765 0.588 0.498 \n",
"140 0.922 0.443 0.370 \n",
"141 0.757 0.505 0.142 \n",
"142 0.916 0.555 0.148 \n",
"143 1.169 0.168 0.359 \n",
"144 0.447 0.380 0.220 \n",
"145 1.114 0.433 0.361 \n",
"146 0.688 0.449 0.026 \n",
"147 1.145 0.538 0.455 \n",
"148 0.378 0.440 0.013 \n",
"149 0.560 0.495 0.443 \n",
"150 1.163 0.463 0.143 \n",
"151 0.711 0.614 0.555 \n",
"152 0.885 0.499 0.417 \n",
"153 0.517 0.361 0.000 \n",
"154 0.000 0.105 0.225 \n",
"155 0.575 0.295 0.010 \n",
"\n",
" Generosity Perceptions of corruption \n",
"0 0.153 0.393 \n",
"1 0.252 0.410 \n",
"2 0.271 0.341 \n",
"3 0.354 0.118 \n",
"4 0.322 0.298 \n",
"5 0.263 0.343 \n",
"6 0.267 0.373 \n",
"7 0.330 0.380 \n",
"8 0.285 0.308 \n",
"9 0.244 0.226 \n",
"10 0.332 0.290 \n",
"11 0.144 0.093 \n",
"12 0.261 0.082 \n",
"13 0.194 0.316 \n",
"14 0.348 0.278 \n",
"15 0.298 0.310 \n",
"16 0.261 0.265 \n",
"17 0.160 0.210 \n",
"18 0.280 0.128 \n",
"19 0.046 0.036 \n",
"20 0.262 0.182 \n",
"21 0.375 0.151 \n",
"22 0.074 0.073 \n",
"23 0.111 0.183 \n",
"24 0.242 0.097 \n",
"25 0.187 0.056 \n",
"26 0.175 0.078 \n",
"27 0.080 0.132 \n",
"28 0.220 0.167 \n",
"29 0.153 0.079 \n",
"30 0.109 0.054 \n",
"31 0.099 0.086 \n",
"32 0.127 0.150 \n",
"33 0.271 0.453 \n",
"34 0.093 0.074 \n",
"35 0.158 0.030 \n",
"36 0.255 0.110 \n",
"37 0.121 0.014 \n",
"38 0.185 0.016 \n",
"39 0.117 0.050 \n",
"40 0.322 0.240 \n",
"41 0.043 0.042 \n",
"42 0.099 0.034 \n",
"43 0.144 0.057 \n",
"44 0.200 0.127 \n",
"45 0.262 0.006 \n",
"46 0.066 0.050 \n",
"47 0.083 0.005 \n",
"48 0.190 0.041 \n",
"49 0.126 0.087 \n",
"50 0.142 0.097 \n",
"51 0.359 0.028 \n",
"52 0.075 0.064 \n",
"53 0.175 0.056 \n",
"54 0.103 0.161 \n",
"55 0.107 0.028 \n",
"56 0.215 0.060 \n",
"57 0.069 0.140 \n",
"58 0.246 0.078 \n",
"59 0.146 0.096 \n",
"60 0.137 0.064 \n",
"61 0.081 0.020 \n",
"62 0.184 0.080 \n",
"63 0.191 0.162 \n",
"64 0.083 0.027 \n",
"65 0.047 0.025 \n",
"66 0.220 0.098 \n",
"67 0.082 0.031 \n",
"68 0.117 0.107 \n",
"69 0.137 0.039 \n",
"70 0.181 0.000 \n",
"71 0.133 0.152 \n",
"72 0.142 0.080 \n",
"73 0.230 0.144 \n",
"74 0.119 0.022 \n",
"75 0.258 0.287 \n",
"76 0.113 0.101 \n",
"77 0.263 0.006 \n",
"78 0.083 0.106 \n",
"79 0.260 0.024 \n",
"80 0.094 0.142 \n",
"81 0.000 0.034 \n",
"82 0.235 0.038 \n",
"83 0.185 0.034 \n",
"84 0.215 0.041 \n",
"85 0.300 0.023 \n",
"86 0.244 0.028 \n",
"87 0.073 0.114 \n",
"88 0.036 0.076 \n",
"89 0.035 0.182 \n",
"90 0.166 0.027 \n",
"91 0.498 0.028 \n",
"92 0.058 0.100 \n",
"93 0.147 0.073 \n",
"94 0.370 0.167 \n",
"95 0.187 0.037 \n",
"96 0.081 0.004 \n",
"97 0.245 0.040 \n",
"98 0.154 0.090 \n",
"99 0.285 0.089 \n",
"100 0.110 0.130 \n",
"101 0.175 0.082 \n",
"102 0.105 0.093 \n",
"103 0.043 0.055 \n",
"104 0.266 0.164 \n",
"105 0.130 0.055 \n",
"106 0.178 0.027 \n",
"107 0.064 0.047 \n",
"108 0.232 0.062 \n",
"109 0.103 0.066 \n",
"110 0.153 0.072 \n",
"111 0.243 0.270 \n",
"112 0.070 0.056 \n",
"113 0.188 0.102 \n",
"114 0.177 0.113 \n",
"115 0.095 0.064 \n",
"116 0.270 0.125 \n",
"117 0.207 0.086 \n",
"118 0.043 0.164 \n",
"119 0.269 0.167 \n",
"120 0.372 0.053 \n",
"121 0.106 0.088 \n",
"122 0.197 0.138 \n",
"123 0.059 0.055 \n",
"124 0.166 0.143 \n",
"125 0.148 0.089 \n",
"126 0.212 0.053 \n",
"127 0.153 0.052 \n",
"128 0.252 0.045 \n",
"129 0.244 0.047 \n",
"130 0.566 0.172 \n",
"131 0.198 0.078 \n",
"132 0.187 0.010 \n",
"133 0.209 0.100 \n",
"134 0.074 0.135 \n",
"135 0.252 0.060 \n",
"136 0.076 0.067 \n",
"137 0.247 0.087 \n",
"138 0.177 0.085 \n",
"139 0.200 0.085 \n",
"140 0.233 0.033 \n",
"141 0.275 0.078 \n",
"142 0.169 0.041 \n",
"143 0.107 0.093 \n",
"144 0.176 0.180 \n",
"145 0.151 0.089 \n",
"146 0.419 0.110 \n",
"147 0.025 0.100 \n",
"148 0.331 0.141 \n",
"149 0.218 0.089 \n",
"150 0.108 0.077 \n",
"151 0.217 0.411 \n",
"152 0.276 0.147 \n",
"153 0.158 0.025 \n",
"154 0.235 0.035 \n",
"155 0.202 0.091 "
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Import libraries require\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline\n",
"sns.set(color_codes = True)\n",
"# Load the data into data frame according to the file where you save it\n",
"\n",
"happiness = pd.read_csv(\"c://2019.csv\")\n",
"\n",
"# Let data frame to display all the data\n",
"\n",
"pd.set_option(\"display.max_rows\", None)\n",
"\n",
"# show the data\n",
"happiness"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>Score</th>\n",
" <th>Economy (GDP per Capita)</th>\n",
" <th>Social Support</th>\n",
" <th>Health (Life Expectancy)</th>\n",
" <th>Freedom</th>\n",
" <th>Generosity</th>\n",
" <th>Perception of Corruption</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Finland</td>\n",
" <td>7.769</td>\n",
" <td>1.340</td>\n",
" <td>1.587</td>\n",
" <td>0.986</td>\n",
" <td>0.596</td>\n",
" <td>0.153</td>\n",
" <td>0.393</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Denmark</td>\n",
" <td>7.600</td>\n",
" <td>1.383</td>\n",
" <td>1.573</td>\n",
" <td>0.996</td>\n",
" <td>0.592</td>\n",
" <td>0.252</td>\n",
" <td>0.410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Norway</td>\n",
" <td>7.554</td>\n",
" <td>1.488</td>\n",
" <td>1.582</td>\n",
" <td>1.028</td>\n",
" <td>0.603</td>\n",
" <td>0.271</td>\n",
" <td>0.341</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Iceland</td>\n",
" <td>7.494</td>\n",
" <td>1.380</td>\n",
" <td>1.624</td>\n",
" <td>1.026</td>\n",
" <td>0.591</td>\n",
" <td>0.354</td>\n",
" <td>0.118</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Netherlands</td>\n",
" <td>7.488</td>\n",
" <td>1.396</td>\n",
" <td>1.522</td>\n",
" <td>0.999</td>\n",
" <td>0.557</td>\n",
" <td>0.322</td>\n",
" <td>0.298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Switzerland</td>\n",
" <td>7.480</td>\n",
" <td>1.452</td>\n",
" <td>1.526</td>\n",
" <td>1.052</td>\n",
" <td>0.572</td>\n",
" <td>0.263</td>\n",
" <td>0.343</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Sweden</td>\n",
" <td>7.343</td>\n",
" <td>1.387</td>\n",
" <td>1.487</td>\n",
" <td>1.009</td>\n",
" <td>0.574</td>\n",
" <td>0.267</td>\n",
" <td>0.373</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>New Zealand</td>\n",
" <td>7.307</td>\n",
" <td>1.303</td>\n",
" <td>1.557</td>\n",
" <td>1.026</td>\n",
" <td>0.585</td>\n",
" <td>0.330</td>\n",
" <td>0.380</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Canada</td>\n",
" <td>7.278</td>\n",
" <td>1.365</td>\n",
" <td>1.505</td>\n",
" <td>1.039</td>\n",
" <td>0.584</td>\n",
" <td>0.285</td>\n",
" <td>0.308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Austria</td>\n",
" <td>7.246</td>\n",
" <td>1.376</td>\n",
" <td>1.475</td>\n",
" <td>1.016</td>\n",
" <td>0.532</td>\n",
" <td>0.244</td>\n",
" <td>0.226</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Australia</td>\n",
" <td>7.228</td>\n",
" <td>1.372</td>\n",
" <td>1.548</td>\n",
" <td>1.036</td>\n",
" <td>0.557</td>\n",
" <td>0.332</td>\n",
" <td>0.290</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Costa Rica</td>\n",
" <td>7.167</td>\n",
" <td>1.034</td>\n",
" <td>1.441</td>\n",
" <td>0.963</td>\n",
" <td>0.558</td>\n",
" <td>0.144</td>\n",
" <td>0.093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Israel</td>\n",
" <td>7.139</td>\n",
" <td>1.276</td>\n",
" <td>1.455</td>\n",
" <td>1.029</td>\n",
" <td>0.371</td>\n",
" <td>0.261</td>\n",
" <td>0.082</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Luxembourg</td>\n",
" <td>7.090</td>\n",
" <td>1.609</td>\n",
" <td>1.479</td>\n",
" <td>1.012</td>\n",
" <td>0.526</td>\n",
" <td>0.194</td>\n",
" <td>0.316</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>United Kingdom</td>\n",
" <td>7.054</td>\n",
" <td>1.333</td>\n",
" <td>1.538</td>\n",
" <td>0.996</td>\n",
" <td>0.450</td>\n",
" <td>0.348</td>\n",
" <td>0.278</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Ireland</td>\n",
" <td>7.021</td>\n",
" <td>1.499</td>\n",
" <td>1.553</td>\n",
" <td>0.999</td>\n",
" <td>0.516</td>\n",
" <td>0.298</td>\n",
" <td>0.310</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Germany</td>\n",
" <td>6.985</td>\n",
" <td>1.373</td>\n",
" <td>1.454</td>\n",
" <td>0.987</td>\n",
" <td>0.495</td>\n",
" <td>0.261</td>\n",
" <td>0.265</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Belgium</td>\n",
" <td>6.923</td>\n",
" <td>1.356</td>\n",
" <td>1.504</td>\n",
" <td>0.986</td>\n",
" <td>0.473</td>\n",
" <td>0.160</td>\n",
" <td>0.210</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>United States</td>\n",
" <td>6.892</td>\n",
" <td>1.433</td>\n",
" <td>1.457</td>\n",
" <td>0.874</td>\n",
" <td>0.454</td>\n",
" <td>0.280</td>\n",
" <td>0.128</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>Czech Republic</td>\n",
" <td>6.852</td>\n",
" <td>1.269</td>\n",
" <td>1.487</td>\n",
" <td>0.920</td>\n",
" <td>0.457</td>\n",
" <td>0.046</td>\n",
" <td>0.036</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>United Arab Emirates</td>\n",
" <td>6.825</td>\n",
" <td>1.503</td>\n",
" <td>1.310</td>\n",
" <td>0.825</td>\n",
" <td>0.598</td>\n",
" <td>0.262</td>\n",
" <td>0.182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>Malta</td>\n",
" <td>6.726</td>\n",
" <td>1.300</td>\n",
" <td>1.520</td>\n",
" <td>0.999</td>\n",
" <td>0.564</td>\n",
" <td>0.375</td>\n",
" <td>0.151</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>Mexico</td>\n",
" <td>6.595</td>\n",
" <td>1.070</td>\n",
" <td>1.323</td>\n",
" <td>0.861</td>\n",
" <td>0.433</td>\n",
" <td>0.074</td>\n",
" <td>0.073</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>France</td>\n",
" <td>6.592</td>\n",
" <td>1.324</td>\n",
" <td>1.472</td>\n",
" <td>1.045</td>\n",
" <td>0.436</td>\n",
" <td>0.111</td>\n",
" <td>0.183</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>Taiwan</td>\n",
" <td>6.446</td>\n",
" <td>1.368</td>\n",
" <td>1.430</td>\n",
" <td>0.914</td>\n",
" <td>0.351</td>\n",
" <td>0.242</td>\n",
" <td>0.097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>Chile</td>\n",
" <td>6.444</td>\n",
" <td>1.159</td>\n",
" <td>1.369</td>\n",
" <td>0.920</td>\n",
" <td>0.357</td>\n",
" <td>0.187</td>\n",
" <td>0.056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>Guatemala</td>\n",
" <td>6.436</td>\n",
" <td>0.800</td>\n",
" <td>1.269</td>\n",
" <td>0.746</td>\n",
" <td>0.535</td>\n",
" <td>0.175</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Saudi Arabia</td>\n",
" <td>6.375</td>\n",
" <td>1.403</td>\n",
" <td>1.357</td>\n",
" <td>0.795</td>\n",
" <td>0.439</td>\n",
" <td>0.080</td>\n",
" <td>0.132</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>Qatar</td>\n",
" <td>6.374</td>\n",
" <td>1.684</td>\n",
" <td>1.313</td>\n",
" <td>0.871</td>\n",
" <td>0.555</td>\n",
" <td>0.220</td>\n",
" <td>0.167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>Spain</td>\n",
" <td>6.354</td>\n",
" <td>1.286</td>\n",
" <td>1.484</td>\n",
" <td>1.062</td>\n",
" <td>0.362</td>\n",
" <td>0.153</td>\n",
" <td>0.079</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>Panama</td>\n",
" <td>6.321</td>\n",
" <td>1.149</td>\n",
" <td>1.442</td>\n",
" <td>0.910</td>\n",
" <td>0.516</td>\n",
" <td>0.109</td>\n",
" <td>0.054</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>Brazil</td>\n",
" <td>6.300</td>\n",
" <td>1.004</td>\n",
" <td>1.439</td>\n",
" <td>0.802</td>\n",
" <td>0.390</td>\n",
" <td>0.099</td>\n",
" <td>0.086</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>Uruguay</td>\n",
" <td>6.293</td>\n",
" <td>1.124</td>\n",
" <td>1.465</td>\n",
" <td>0.891</td>\n",
" <td>0.523</td>\n",
" <td>0.127</td>\n",
" <td>0.150</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>Singapore</td>\n",
" <td>6.262</td>\n",
" <td>1.572</td>\n",
" <td>1.463</td>\n",
" <td>1.141</td>\n",
" <td>0.556</td>\n",
" <td>0.271</td>\n",
" <td>0.453</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>El Salvador</td>\n",
" <td>6.253</td>\n",
" <td>0.794</td>\n",
" <td>1.242</td>\n",
" <td>0.789</td>\n",
" <td>0.430</td>\n",
" <td>0.093</td>\n",
" <td>0.074</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>Italy</td>\n",
" <td>6.223</td>\n",
" <td>1.294</td>\n",
" <td>1.488</td>\n",
" <td>1.039</td>\n",
" <td>0.231</td>\n",
" <td>0.158</td>\n",
" <td>0.030</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>Bahrain</td>\n",
" <td>6.199</td>\n",
" <td>1.362</td>\n",
" <td>1.368</td>\n",
" <td>0.871</td>\n",
" <td>0.536</td>\n",
" <td>0.255</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>Slovakia</td>\n",
" <td>6.198</td>\n",
" <td>1.246</td>\n",
" <td>1.504</td>\n",
" <td>0.881</td>\n",
" <td>0.334</td>\n",
" <td>0.121</td>\n",
" <td>0.014</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>Trinidad & Tobago</td>\n",
" <td>6.192</td>\n",
" <td>1.231</td>\n",
" <td>1.477</td>\n",
" <td>0.713</td>\n",
" <td>0.489</td>\n",
" <td>0.185</td>\n",
" <td>0.016</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>Poland</td>\n",
" <td>6.182</td>\n",
" <td>1.206</td>\n",
" <td>1.438</td>\n",
" <td>0.884</td>\n",
" <td>0.483</td>\n",
" <td>0.117</td>\n",
" <td>0.050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>Uzbekistan</td>\n",
" <td>6.174</td>\n",
" <td>0.745</td>\n",
" <td>1.529</td>\n",
" <td>0.756</td>\n",
" <td>0.631</td>\n",
" <td>0.322</td>\n",
" <td>0.240</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>Lithuania</td>\n",
" <td>6.149</td>\n",
" <td>1.238</td>\n",
" <td>1.515</td>\n",
" <td>0.818</td>\n",
" <td>0.291</td>\n",
" <td>0.043</td>\n",
" <td>0.042</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>Colombia</td>\n",
" <td>6.125</td>\n",
" <td>0.985</td>\n",
" <td>1.410</td>\n",
" <td>0.841</td>\n",
" <td>0.470</td>\n",
" <td>0.099</td>\n",
" <td>0.034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>Slovenia</td>\n",
" <td>6.118</td>\n",
" <td>1.258</td>\n",
" <td>1.523</td>\n",
" <td>0.953</td>\n",
" <td>0.564</td>\n",
" <td>0.144</td>\n",
" <td>0.057</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>Nicaragua</td>\n",
" <td>6.105</td>\n",
" <td>0.694</td>\n",
" <td>1.325</td>\n",
" <td>0.835</td>\n",
" <td>0.435</td>\n",
" <td>0.200</td>\n",
" <td>0.127</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>Kosovo</td>\n",
" <td>6.100</td>\n",
" <td>0.882</td>\n",
" <td>1.232</td>\n",
" <td>0.758</td>\n",
" <td>0.489</td>\n",
" <td>0.262</td>\n",
" <td>0.006</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>Argentina</td>\n",
" <td>6.086</td>\n",
" <td>1.092</td>\n",
" <td>1.432</td>\n",
" <td>0.881</td>\n",
" <td>0.471</td>\n",
" <td>0.066</td>\n",
" <td>0.050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>Romania</td>\n",
" <td>6.070</td>\n",
" <td>1.162</td>\n",
" <td>1.232</td>\n",
" <td>0.825</td>\n",
" <td>0.462</td>\n",
" <td>0.083</td>\n",
" <td>0.005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>Cyprus</td>\n",
" <td>6.046</td>\n",
" <td>1.263</td>\n",
" <td>1.223</td>\n",
" <td>1.042</td>\n",
" <td>0.406</td>\n",
" <td>0.190</td>\n",
" <td>0.041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>Ecuador</td>\n",
" <td>6.028</td>\n",
" <td>0.912</td>\n",
" <td>1.312</td>\n",
" <td>0.868</td>\n",
" <td>0.498</td>\n",
" <td>0.126</td>\n",
" <td>0.087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>Kuwait</td>\n",
" <td>6.021</td>\n",
" <td>1.500</td>\n",
" <td>1.319</td>\n",
" <td>0.808</td>\n",
" <td>0.493</td>\n",
" <td>0.142</td>\n",
" <td>0.097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>Thailand</td>\n",
" <td>6.008</td>\n",
" <td>1.050</td>\n",
" <td>1.409</td>\n",
" <td>0.828</td>\n",
" <td>0.557</td>\n",
" <td>0.359</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>Latvia</td>\n",
" <td>5.940</td>\n",
" <td>1.187</td>\n",
" <td>1.465</td>\n",
" <td>0.812</td>\n",
" <td>0.264</td>\n",
" <td>0.075</td>\n",
" <td>0.064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>South Korea</td>\n",
" <td>5.895</td>\n",
" <td>1.301</td>\n",
" <td>1.219</td>\n",
" <td>1.036</td>\n",
" <td>0.159</td>\n",
" <td>0.175</td>\n",
" <td>0.056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>Estonia</td>\n",
" <td>5.893</td>\n",
" <td>1.237</td>\n",
" <td>1.528</td>\n",
" <td>0.874</td>\n",
" <td>0.495</td>\n",
" <td>0.103</td>\n",
" <td>0.161</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>Jamaica</td>\n",
" <td>5.890</td>\n",
" <td>0.831</td>\n",
" <td>1.478</td>\n",
" <td>0.831</td>\n",
" <td>0.490</td>\n",
" <td>0.107</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>Mauritius</td>\n",
" <td>5.888</td>\n",
" <td>1.120</td>\n",
" <td>1.402</td>\n",
" <td>0.798</td>\n",
" <td>0.498</td>\n",
" <td>0.215</td>\n",
" <td>0.060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>Japan</td>\n",
" <td>5.886</td>\n",
" <td>1.327</td>\n",
" <td>1.419</td>\n",
" <td>1.088</td>\n",
" <td>0.445</td>\n",
" <td>0.069</td>\n",
" <td>0.140</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>Honduras</td>\n",
" <td>5.860</td>\n",
" <td>0.642</td>\n",
" <td>1.236</td>\n",
" <td>0.828</td>\n",
" <td>0.507</td>\n",
" <td>0.246</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>Kazakhstan</td>\n",
" <td>5.809</td>\n",
" <td>1.173</td>\n",
" <td>1.508</td>\n",
" <td>0.729</td>\n",
" <td>0.410</td>\n",
" <td>0.146</td>\n",
" <td>0.096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>Bolivia</td>\n",
" <td>5.779</td>\n",
" <td>0.776</td>\n",
" <td>1.209</td>\n",
" <td>0.706</td>\n",
" <td>0.511</td>\n",
" <td>0.137</td>\n",
" <td>0.064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>Hungary</td>\n",
" <td>5.758</td>\n",
" <td>1.201</td>\n",
" <td>1.410</td>\n",
" <td>0.828</td>\n",
" <td>0.199</td>\n",
" <td>0.081</td>\n",
" <td>0.020</td>\n",
" </tr>\n",
" <tr>\n",
" <th>62</th>\n",
" <td>Paraguay</td>\n",
" <td>5.743</td>\n",
" <td>0.855</td>\n",
" <td>1.475</td>\n",
" <td>0.777</td>\n",
" <td>0.514</td>\n",
" <td>0.184</td>\n",
" <td>0.080</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <td>Northern Cyprus</td>\n",
" <td>5.718</td>\n",
" <td>1.263</td>\n",
" <td>1.252</td>\n",
" <td>1.042</td>\n",
" <td>0.417</td>\n",
" <td>0.191</td>\n",
" <td>0.162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>Peru</td>\n",
" <td>5.697</td>\n",
" <td>0.960</td>\n",
" <td>1.274</td>\n",
" <td>0.854</td>\n",
" <td>0.455</td>\n",
" <td>0.083</td>\n",
" <td>0.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>Portugal</td>\n",
" <td>5.693</td>\n",
" <td>1.221</td>\n",
" <td>1.431</td>\n",
" <td>0.999</td>\n",
" <td>0.508</td>\n",
" <td>0.047</td>\n",
" <td>0.025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>Pakistan</td>\n",
" <td>5.653</td>\n",
" <td>0.677</td>\n",
" <td>0.886</td>\n",
" <td>0.535</td>\n",
" <td>0.313</td>\n",
" <td>0.220</td>\n",
" <td>0.098</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td>Russia</td>\n",
" <td>5.648</td>\n",
" <td>1.183</td>\n",
" <td>1.452</td>\n",
" <td>0.726</td>\n",
" <td>0.334</td>\n",
" <td>0.082</td>\n",
" <td>0.031</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>Philippines</td>\n",
" <td>5.631</td>\n",
" <td>0.807</td>\n",
" <td>1.293</td>\n",
" <td>0.657</td>\n",
" <td>0.558</td>\n",
" <td>0.117</td>\n",
" <td>0.107</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>Serbia</td>\n",
" <td>5.603</td>\n",
" <td>1.004</td>\n",
" <td>1.383</td>\n",
" <td>0.854</td>\n",
" <td>0.282</td>\n",
" <td>0.137</td>\n",
" <td>0.039</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>Moldova</td>\n",
" <td>5.529</td>\n",
" <td>0.685</td>\n",
" <td>1.328</td>\n",
" <td>0.739</td>\n",
" <td>0.245</td>\n",
" <td>0.181</td>\n",
" <td>0.000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>Libya</td>\n",
" <td>5.525</td>\n",
" <td>1.044</td>\n",
" <td>1.303</td>\n",
" <td>0.673</td>\n",
" <td>0.416</td>\n",
" <td>0.133</td>\n",
" <td>0.152</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>Montenegro</td>\n",
" <td>5.523</td>\n",
" <td>1.051</td>\n",
" <td>1.361</td>\n",
" <td>0.871</td>\n",
" <td>0.197</td>\n",
" <td>0.142</td>\n",
" <td>0.080</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>Tajikistan</td>\n",
" <td>5.467</td>\n",
" <td>0.493</td>\n",
" <td>1.098</td>\n",
" <td>0.718</td>\n",
" <td>0.389</td>\n",
" <td>0.230</td>\n",
" <td>0.144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>Croatia</td>\n",
" <td>5.432</td>\n",
" <td>1.155</td>\n",
" <td>1.266</td>\n",
" <td>0.914</td>\n",
" <td>0.296</td>\n",
" <td>0.119</td>\n",
" <td>0.022</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td>Hong Kong</td>\n",
" <td>5.430</td>\n",
" <td>1.438</td>\n",
" <td>1.277</td>\n",
" <td>1.122</td>\n",
" <td>0.440</td>\n",
" <td>0.258</td>\n",
" <td>0.287</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>Dominican Republic</td>\n",
" <td>5.425</td>\n",
" <td>1.015</td>\n",
" <td>1.401</td>\n",
" <td>0.779</td>\n",
" <td>0.497</td>\n",
" <td>0.113</td>\n",
" <td>0.101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77</th>\n",
" <td>Bosnia and Herzegovina</td>\n",
" <td>5.386</td>\n",
" <td>0.945</td>\n",
" <td>1.212</td>\n",
" <td>0.845</td>\n",
" <td>0.212</td>\n",
" <td>0.263</td>\n",
" <td>0.006</td>\n",
" </tr>\n",
" <tr>\n",
" <th>78</th>\n",
" <td>Turkey</td>\n",
" <td>5.373</td>\n",
" <td>1.183</td>\n",
" <td>1.360</td>\n",
" <td>0.808</td>\n",
" <td>0.195</td>\n",
" <td>0.083</td>\n",
" <td>0.106</td>\n",
" </tr>\n",
" <tr>\n",
" <th>79</th>\n",
" <td>Malaysia</td>\n",
" <td>5.339</td>\n",
" <td>1.221</td>\n",
" <td>1.171</td>\n",
" <td>0.828</td>\n",
" <td>0.508</td>\n",
" <td>0.260</td>\n",
" <td>0.024</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80</th>\n",
" <td>Belarus</td>\n",
" <td>5.323</td>\n",
" <td>1.067</td>\n",
" <td>1.465</td>\n",
" <td>0.789</td>\n",
" <td>0.235</td>\n",
" <td>0.094</td>\n",
" <td>0.142</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td>Greece</td>\n",
" <td>5.287</td>\n",
" <td>1.181</td>\n",
" <td>1.156</td>\n",
" <td>0.999</td>\n",
" <td>0.067</td>\n",
" <td>0.000</td>\n",
" <td>0.034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>Mongolia</td>\n",
" <td>5.285</td>\n",
" <td>0.948</td>\n",
" <td>1.531</td>\n",
" <td>0.667</td>\n",
" <td>0.317</td>\n",
" <td>0.235</td>\n",
" <td>0.038</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td>North Macedonia</td>\n",
" <td>5.274</td>\n",
" <td>0.983</td>\n",
" <td>1.294</td>\n",
" <td>0.838</td>\n",
" <td>0.345</td>\n",
" <td>0.185</td>\n",
" <td>0.034</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td>Nigeria</td>\n",
" <td>5.265</td>\n",
" <td>0.696</td>\n",
" <td>1.111</td>\n",
" <td>0.245</td>\n",
" <td>0.426</td>\n",
" <td>0.215</td>\n",
" <td>0.041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85</th>\n",
" <td>Kyrgyzstan</td>\n",
" <td>5.261</td>\n",
" <td>0.551</td>\n",
" <td>1.438</td>\n",
" <td>0.723</td>\n",
" <td>0.508</td>\n",
" <td>0.300</td>\n",
" <td>0.023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>87</th>\n",
" <td>Algeria</td>\n",
" <td>5.211</td>\n",
" <td>1.002</td>\n",
" <td>1.160</td>\n",
" <td>0.785</td>\n",
" <td>0.086</td>\n",
" <td>0.073</td>\n",
" <td>0.114</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88</th>\n",
" <td>Morocco</td>\n",
" <td>5.208</td>\n",
" <td>0.801</td>\n",
" <td>0.782</td>\n",
" <td>0.782</td>\n",
" <td>0.418</td>\n",
" <td>0.036</td>\n",
" <td>0.076</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>Azerbaijan</td>\n",
" <td>5.208</td>\n",
" <td>1.043</td>\n",
" <td>1.147</td>\n",
" <td>0.769</td>\n",
" <td>0.351</td>\n",
" <td>0.035</td>\n",
" <td>0.182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90</th>\n",
" <td>Lebanon</td>\n",
" <td>5.197</td>\n",
" <td>0.987</td>\n",
" <td>1.224</td>\n",
" <td>0.815</td>\n",
" <td>0.216</td>\n",
" <td>0.166</td>\n",
" <td>0.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91</th>\n",
" <td>Indonesia</td>\n",
" <td>5.192</td>\n",
" <td>0.931</td>\n",
" <td>1.203</td>\n",
" <td>0.660</td>\n",
" <td>0.491</td>\n",
" <td>0.498</td>\n",
" <td>0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92</th>\n",
" <td>China</td>\n",
" <td>5.191</td>\n",
" <td>1.029</td>\n",
" <td>1.125</td>\n",
" <td>0.893</td>\n",
" <td>0.521</td>\n",
" <td>0.058</td>\n",
" <td>0.100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>93</th>\n",
" <td>Vietnam</td>\n",
" <td>5.175</td>\n",
" <td>0.741</td>\n",
" <td>1.346</td>\n",
" <td>0.851</td>\n",
" <td>0.543</td>\n",
" <td>0.147</td>\n",
" <td>0.073</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94</th>\n",
" <td>Bhutan</td>\n",
" <td>5.082</td>\n",
" <td>0.813</td>\n",
" <td>1.321</td>\n",
" <td>0.604</td>\n",
" <td>0.457</td>\n",
" <td>0.370</td>\n",
" <td>0.167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>Cameroon</td>\n",
" <td>5.044</td>\n",
" <td>0.549</td>\n",
" <td>0.910</td>\n",
" <td>0.331</td>\n",
" <td>0.381</td>\n",
" <td>0.187</td>\n",
" <td>0.037</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>Ghana</td>\n",
" <td>4.996</td>\n",
" <td>0.611</td>\n",
" <td>0.868</td>\n",
" <td>0.486</td>\n",
" <td>0.381</td>\n",
" <td>0.245</td>\n",
" <td>0.040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>Nepal</td>\n",
" <td>4.913</td>\n",
" <td>0.446</td>\n",
" <td>1.226</td>\n",
" <td>0.677</td>\n",
" <td>0.439</td>\n",
" <td>0.285</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>Jordan</td>\n",
" <td>4.906</td>\n",
" <td>0.837</td>\n",
" <td>1.225</td>\n",
" <td>0.815</td>\n",
" <td>0.383</td>\n",
" <td>0.110</td>\n",
" <td>0.130</td>\n",
" </tr>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>Benin</td>\n",
" <td>4.883</td>\n",
" <td>0.393</td>\n",
" <td>0.437</td>\n",
" <td>0.397</td>\n",
" <td>0.349</td>\n",
" <td>0.175</td>\n",
" <td>0.082</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102</th>\n",
" <td>Congo (Brazzaville)</td>\n",
" <td>4.812</td>\n",
" <td>0.673</td>\n",
" <td>0.799</td>\n",
" <td>0.508</td>\n",
" <td>0.372</td>\n",
" <td>0.105</td>\n",
" <td>0.093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>103</th>\n",
" <td>Gabon</td>\n",
" <td>4.799</td>\n",
" <td>1.057</td>\n",
" <td>1.183</td>\n",
" <td>0.571</td>\n",
" <td>0.295</td>\n",
" <td>0.043</td>\n",
" <td>0.055</td>\n",
" </tr>\n",
" <tr>\n",
" <th>104</th>\n",
" <td>Laos</td>\n",
" <td>4.796</td>\n",
" <td>0.764</td>\n",
" <td>1.030</td>\n",
" <td>0.551</td>\n",
" <td>0.547</td>\n",
" <td>0.266</td>\n",
" <td>0.164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>105</th>\n",
" <td>South Africa</td>\n",
" <td>4.722</td>\n",
" <td>0.960</td>\n",
" <td>1.351</td>\n",
" <td>0.469</td>\n",
" <td>0.389</td>\n",
" <td>0.130</td>\n",
" <td>0.055</td>\n",
" </tr>\n",
" <tr>\n",
" <th>106</th>\n",
" <td>Albania</td>\n",
" <td>4.719</td>\n",
" <td>0.947</td>\n",
" <td>0.848</td>\n",
" <td>0.874</td>\n",
" <td>0.383</td>\n",
" <td>0.178</td>\n",
" <td>0.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>107</th>\n",
" <td>Venezuela</td>\n",
" <td>4.707</td>\n",
" <td>0.960</td>\n",
" <td>1.427</td>\n",
" <td>0.805</td>\n",
" <td>0.154</td>\n",
" <td>0.064</td>\n",
" <td>0.047</td>\n",
" </tr>\n",
" <tr>\n",
" <th>108</th>\n",
" <td>Cambodia</td>\n",
" <td>4.700</td>\n",
" <td>0.574</td>\n",
" <td>1.122</td>\n",
" <td>0.637</td>\n",
" <td>0.609</td>\n",
" <td>0.232</td>\n",
" <td>0.062</td>\n",
" </tr>\n",
" <tr>\n",
" <th>109</th>\n",
" <td>Palestinian Territories</td>\n",
" <td>4.696</td>\n",
" <td>0.657</td>\n",
" <td>1.247</td>\n",
" <td>0.672</td>\n",
" <td>0.225</td>\n",
" <td>0.103</td>\n",
" <td>0.066</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>Senegal</td>\n",
" <td>4.681</td>\n",
" <td>0.450</td>\n",
" <td>1.134</td>\n",
" <td>0.571</td>\n",
" <td>0.292</td>\n",
" <td>0.153</td>\n",
" <td>0.072</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>Namibia</td>\n",
" <td>4.639</td>\n",
" <td>0.879</td>\n",
" <td>1.313</td>\n",
" <td>0.477</td>\n",
" <td>0.401</td>\n",
" <td>0.070</td>\n",
" <td>0.056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>113</th>\n",
" <td>Niger</td>\n",
" <td>4.628</td>\n",
" <td>0.138</td>\n",
" <td>0.774</td>\n",
" <td>0.366</td>\n",
" <td>0.318</td>\n",
" <td>0.188</td>\n",
" <td>0.102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>114</th>\n",
" <td>Burkina Faso</td>\n",
" <td>4.587</td>\n",
" <td>0.331</td>\n",
" <td>1.056</td>\n",
" <td>0.380</td>\n",
" <td>0.255</td>\n",
" <td>0.177</td>\n",
" <td>0.113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115</th>\n",
" <td>Armenia</td>\n",
" <td>4.559</td>\n",
" <td>0.850</td>\n",
" <td>1.055</td>\n",
" <td>0.815</td>\n",
" <td>0.283</td>\n",
" <td>0.095</td>\n",
" <td>0.064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>116</th>\n",
" <td>Iran</td>\n",
" <td>4.548</td>\n",
" <td>1.100</td>\n",
" <td>0.842</td>\n",
" <td>0.785</td>\n",
" <td>0.305</td>\n",
" <td>0.270</td>\n",
" <td>0.125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>118</th>\n",
" <td>Georgia</td>\n",
" <td>4.519</td>\n",
" <td>0.886</td>\n",
" <td>0.666</td>\n",
" <td>0.752</td>\n",
" <td>0.346</td>\n",
" <td>0.043</td>\n",
" <td>0.164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>Kenya</td>\n",
" <td>4.509</td>\n",
" <td>0.512</td>\n",
" <td>0.983</td>\n",
" <td>0.581</td>\n",
" <td>0.431</td>\n",
" <td>0.372</td>\n",
" <td>0.053</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>Mauritania</td>\n",
" <td>4.490</td>\n",
" <td>0.570</td>\n",
" <td>1.167</td>\n",
" <td>0.489</td>\n",
" <td>0.066</td>\n",
" <td>0.106</td>\n",
" <td>0.088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>Mozambique</td>\n",
" <td>4.466</td>\n",
" <td>0.204</td>\n",
" <td>0.986</td>\n",
" <td>0.390</td>\n",
" <td>0.494</td>\n",
" <td>0.197</td>\n",
" <td>0.138</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>Tunisia</td>\n",
" <td>4.461</td>\n",
" <td>0.921</td>\n",
" <td>1.000</td>\n",
" <td>0.815</td>\n",
" <td>0.167</td>\n",
" <td>0.059</td>\n",
" <td>0.055</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>Bangladesh</td>\n",
" <td>4.456</td>\n",
" <td>0.562</td>\n",
" <td>0.928</td>\n",
" <td>0.723</td>\n",
" <td>0.527</td>\n",
" <td>0.166</td>\n",
" <td>0.143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>Congo (Kinshasa)</td>\n",
" <td>4.418</td>\n",
" <td>0.094</td>\n",
" <td>1.125</td>\n",
" <td>0.357</td>\n",
" <td>0.269</td>\n",
" <td>0.212</td>\n",
" <td>0.053</td>\n",
" </tr>\n",
" <tr>\n",
" <th>127</th>\n",
" <td>Mali</td>\n",
" <td>4.390</td>\n",
" <td>0.385</td>\n",
" <td>1.105</td>\n",
" <td>0.308</td>\n",
" <td>0.327</td>\n",
" <td>0.153</td>\n",
" <td>0.052</td>\n",
" </tr>\n",
" <tr>\n",
" <th>128</th>\n",
" <td>Sierra Leone</td>\n",
" <td>4.374</td>\n",
" <td>0.268</td>\n",
" <td>0.841</td>\n",
" <td>0.242</td>\n",
" <td>0.309</td>\n",
" <td>0.252</td>\n",
" <td>0.045</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>Sri Lanka</td>\n",
" <td>4.366</td>\n",
" <td>0.949</td>\n",
" <td>1.265</td>\n",
" <td>0.831</td>\n",
" <td>0.470</td>\n",
" <td>0.244</td>\n",
" <td>0.047</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>Myanmar</td>\n",
" <td>4.360</td>\n",
" <td>0.710</td>\n",
" <td>1.181</td>\n",
" <td>0.555</td>\n",
" <td>0.525</td>\n",
" <td>0.566</td>\n",
" <td>0.172</td>\n",
" </tr>\n",
" <tr>\n",
" <th>131</th>\n",
" <td>Chad</td>\n",
" <td>4.350</td>\n",
" <td>0.350</td>\n",
" <td>0.766</td>\n",
" <td>0.192</td>\n",
" <td>0.174</td>\n",
" <td>0.198</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>132</th>\n",
" <td>Ukraine</td>\n",
" <td>4.332</td>\n",
" <td>0.820</td>\n",
" <td>1.390</td>\n",
" <td>0.739</td>\n",
" <td>0.178</td>\n",
" <td>0.187</td>\n",
" <td>0.010</td>\n",
" </tr>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>Ethiopia</td>\n",
" <td>4.286</td>\n",
" <td>0.336</td>\n",
" <td>1.033</td>\n",
" <td>0.532</td>\n",
" <td>0.344</td>\n",
" <td>0.209</td>\n",
" <td>0.100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>Uganda</td>\n",
" <td>4.189</td>\n",
" <td>0.332</td>\n",
" <td>1.069</td>\n",
" <td>0.443</td>\n",
" <td>0.356</td>\n",
" <td>0.252</td>\n",
" <td>0.060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>136</th>\n",
" <td>Egypt</td>\n",
" <td>4.166</td>\n",
" <td>0.913</td>\n",
" <td>1.039</td>\n",
" <td>0.644</td>\n",
" <td>0.241</td>\n",
" <td>0.076</td>\n",
" <td>0.067</td>\n",
" </tr>\n",
" <tr>\n",
" <th>137</th>\n",
" <td>Zambia</td>\n",
" <td>4.107</td>\n",
" <td>0.578</td>\n",
" <td>1.058</td>\n",
" <td>0.426</td>\n",
" <td>0.431</td>\n",
" <td>0.247</td>\n",
" <td>0.087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>Togo</td>\n",
" <td>4.085</td>\n",
" <td>0.275</td>\n",
" <td>0.572</td>\n",
" <td>0.410</td>\n",
" <td>0.293</td>\n",
" <td>0.177</td>\n",
" <td>0.085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>139</th>\n",
" <td>India</td>\n",
" <td>4.015</td>\n",
" <td>0.755</td>\n",
" <td>0.765</td>\n",
" <td>0.588</td>\n",
" <td>0.498</td>\n",
" <td>0.200</td>\n",
" <td>0.085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>140</th>\n",
" <td>Liberia</td>\n",
" <td>3.975</td>\n",
" <td>0.073</td>\n",
" <td>0.922</td>\n",
" <td>0.443</td>\n",
" <td>0.370</td>\n",
" <td>0.233</td>\n",
" <td>0.033</td>\n",
" </tr>\n",
" <tr>\n",
" <th>141</th>\n",
" <td>Comoros</td>\n",
" <td>3.973</td>\n",
" <td>0.274</td>\n",
" <td>0.757</td>\n",
" <td>0.505</td>\n",
" <td>0.142</td>\n",
" <td>0.275</td>\n",
" <td>0.078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>142</th>\n",
" <td>Madagascar</td>\n",
" <td>3.933</td>\n",
" <td>0.274</td>\n",
" <td>0.916</td>\n",
" <td>0.555</td>\n",
" <td>0.148</td>\n",
" <td>0.169</td>\n",
" <td>0.041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143</th>\n",
" <td>Lesotho</td>\n",
" <td>3.802</td>\n",
" <td>0.489</td>\n",
" <td>1.169</td>\n",
" <td>0.168</td>\n",
" <td>0.359</td>\n",
" <td>0.107</td>\n",
" <td>0.093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>144</th>\n",
" <td>Burundi</td>\n",
" <td>3.775</td>\n",
" <td>0.046</td>\n",
" <td>0.447</td>\n",
" <td>0.380</td>\n",
" <td>0.220</td>\n",
" <td>0.176</td>\n",
" <td>0.180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>145</th>\n",
" <td>Zimbabwe</td>\n",
" <td>3.663</td>\n",
" <td>0.366</td>\n",
" <td>1.114</td>\n",
" <td>0.433</td>\n",
" <td>0.361</td>\n",
" <td>0.151</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>Haiti</td>\n",
" <td>3.597</td>\n",
" <td>0.323</td>\n",
" <td>0.688</td>\n",
" <td>0.449</td>\n",
" <td>0.026</td>\n",
" <td>0.419</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148</th>\n",
" <td>Syria</td>\n",
" <td>3.462</td>\n",
" <td>0.619</td>\n",
" <td>0.378</td>\n",
" <td>0.440</td>\n",
" <td>0.013</td>\n",
" <td>0.331</td>\n",
" <td>0.141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>149</th>\n",
" <td>Malawi</td>\n",
" <td>3.410</td>\n",
" <td>0.191</td>\n",
" <td>0.560</td>\n",
" <td>0.495</td>\n",
" <td>0.443</td>\n",
" <td>0.218</td>\n",
" <td>0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th>150</th>\n",
" <td>Yemen</td>\n",
" <td>3.380</td>\n",
" <td>0.287</td>\n",
" <td>1.163</td>\n",
" <td>0.463</td>\n",
" <td>0.143</td>\n",
" <td>0.108</td>\n",
" <td>0.077</td>\n",
" </tr>\n",
" <tr>\n",
" <th>151</th>\n",
" <td>Rwanda</td>\n",
" <td>3.334</td>\n",
" <td>0.359</td>\n",
" <td>0.711</td>\n",
" <td>0.614</td>\n",
" <td>0.555</td>\n",
" <td>0.217</td>\n",
" <td>0.411</td>\n",
" </tr>\n",
" <tr>\n",
" <th>152</th>\n",
" <td>Tanzania</td>\n",
" <td>3.231</td>\n",
" <td>0.476</td>\n",
" <td>0.885</td>\n",
" <td>0.499</td>\n",
" <td>0.417</td>\n",
" <td>0.276</td>\n",
" <td>0.147</td>\n",
" </tr>\n",
" <tr>\n",
" <th>153</th>\n",
" <td>Afghanistan</td>\n",
" <td>3.203</td>\n",
" <td>0.350</td>\n",
" <td>0.517</td>\n",
" <td>0.361</td>\n",
" <td>0.000</td>\n",
" <td>0.158</td>\n",
" <td>0.025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154</th>\n",
" <td>Central African Republic</td>\n",
" <td>3.083</td>\n",
" <td>0.026</td>\n",
" <td>0.000</td>\n",
" <td>0.105</td>\n",
" <td>0.225</td>\n",
" <td>0.235</td>\n",
" <td>0.035</td>\n",
" </tr>\n",
" <tr>\n",
" <th>155</th>\n",
" <td>South Sudan</td>\n",
" <td>2.853</td>\n",
" <td>0.306</td>\n",
" <td>0.575</td>\n",
" <td>0.295</td>\n",
" <td>0.010</td>\n",
" <td>0.202</td>\n",
" <td>0.091</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Country Score Economy (GDP per Capita) \\\n",
"0 Finland 7.769 1.340 \n",
"1 Denmark 7.600 1.383 \n",
"2 Norway 7.554 1.488 \n",
"3 Iceland 7.494 1.380 \n",
"4 Netherlands 7.488 1.396 \n",
"5 Switzerland 7.480 1.452 \n",
"6 Sweden 7.343 1.387 \n",
"7 New Zealand 7.307 1.303 \n",
"8 Canada 7.278 1.365 \n",
"9 Austria 7.246 1.376 \n",
"10 Australia 7.228 1.372 \n",
"11 Costa Rica 7.167 1.034 \n",
"12 Israel 7.139 1.276 \n",
"13 Luxembourg 7.090 1.609 \n",
"14 United Kingdom 7.054 1.333 \n",
"15 Ireland 7.021 1.499 \n",
"16 Germany 6.985 1.373 \n",
"17 Belgium 6.923 1.356 \n",
"18 United States 6.892 1.433 \n",
"19 Czech Republic 6.852 1.269 \n",
"20 United Arab Emirates 6.825 1.503 \n",
"21 Malta 6.726 1.300 \n",
"22 Mexico 6.595 1.070 \n",
"23 France 6.592 1.324 \n",
"24 Taiwan 6.446 1.368 \n",
"25 Chile 6.444 1.159 \n",
"26 Guatemala 6.436 0.800 \n",
"27 Saudi Arabia 6.375 1.403 \n",
"28 Qatar 6.374 1.684 \n",
"29 Spain 6.354 1.286 \n",
"30 Panama 6.321 1.149 \n",
"31 Brazil 6.300 1.004 \n",
"32 Uruguay 6.293 1.124 \n",
"33 Singapore 6.262 1.572 \n",
"34 El Salvador 6.253 0.794 \n",
"35 Italy 6.223 1.294 \n",
"36 Bahrain 6.199 1.362 \n",
"37 Slovakia 6.198 1.246 \n",
"38 Trinidad & Tobago 6.192 1.231 \n",
"39 Poland 6.182 1.206 \n",
"40 Uzbekistan 6.174 0.745 \n",
"41 Lithuania 6.149 1.238 \n",
"42 Colombia 6.125 0.985 \n",
"43 Slovenia 6.118 1.258 \n",
"44 Nicaragua 6.105 0.694 \n",
"45 Kosovo 6.100 0.882 \n",
"46 Argentina 6.086 1.092 \n",
"47 Romania 6.070 1.162 \n",
"48 Cyprus 6.046 1.263 \n",
"49 Ecuador 6.028 0.912 \n",
"50 Kuwait 6.021 1.500 \n",
"51 Thailand 6.008 1.050 \n",
"52 Latvia 5.940 1.187 \n",
"53 South Korea 5.895 1.301 \n",
"54 Estonia 5.893 1.237 \n",
"55 Jamaica 5.890 0.831 \n",
"56 Mauritius 5.888 1.120 \n",
"57 Japan 5.886 1.327 \n",
"58 Honduras 5.860 0.642 \n",
"59 Kazakhstan 5.809 1.173 \n",
"60 Bolivia 5.779 0.776 \n",
"61 Hungary 5.758 1.201 \n",
"62 Paraguay 5.743 0.855 \n",
"63 Northern Cyprus 5.718 1.263 \n",
"64 Peru 5.697 0.960 \n",
"65 Portugal 5.693 1.221 \n",
"66 Pakistan 5.653 0.677 \n",
"67 Russia 5.648 1.183 \n",
"68 Philippines 5.631 0.807 \n",
"69 Serbia 5.603 1.004 \n",
"70 Moldova 5.529 0.685 \n",
"71 Libya 5.525 1.044 \n",
"72 Montenegro 5.523 1.051 \n",
"73 Tajikistan 5.467 0.493 \n",
"74 Croatia 5.432 1.155 \n",
"75 Hong Kong 5.430 1.438 \n",
"76 Dominican Republic 5.425 1.015 \n",
"77 Bosnia and Herzegovina 5.386 0.945 \n",
"78 Turkey 5.373 1.183 \n",
"79 Malaysia 5.339 1.221 \n",
"80 Belarus 5.323 1.067 \n",
"81 Greece 5.287 1.181 \n",
"82 Mongolia 5.285 0.948 \n",
"83 North Macedonia 5.274 0.983 \n",
"84 Nigeria 5.265 0.696 \n",
"85 Kyrgyzstan 5.261 0.551 \n",
"87 Algeria 5.211 1.002 \n",
"88 Morocco 5.208 0.801 \n",
"89 Azerbaijan 5.208 1.043 \n",
"90 Lebanon 5.197 0.987 \n",
"91 Indonesia 5.192 0.931 \n",
"92 China 5.191 1.029 \n",
"93 Vietnam 5.175 0.741 \n",
"94 Bhutan 5.082 0.813 \n",
"95 Cameroon 5.044 0.549 \n",
"97 Ghana 4.996 0.611 \n",
"99 Nepal 4.913 0.446 \n",
"100 Jordan 4.906 0.837 \n",
"101 Benin 4.883 0.393 \n",
"102 Congo (Brazzaville) 4.812 0.673 \n",
"103 Gabon 4.799 1.057 \n",
"104 Laos 4.796 0.764 \n",
"105 South Africa 4.722 0.960 \n",
"106 Albania 4.719 0.947 \n",
"107 Venezuela 4.707 0.960 \n",
"108 Cambodia 4.700 0.574 \n",
"109 Palestinian Territories 4.696 0.657 \n",
"110 Senegal 4.681 0.450 \n",
"112 Namibia 4.639 0.879 \n",
"113 Niger 4.628 0.138 \n",
"114 Burkina Faso 4.587 0.331 \n",
"115 Armenia 4.559 0.850 \n",
"116 Iran 4.548 1.100 \n",
"118 Georgia 4.519 0.886 \n",
"120 Kenya 4.509 0.512 \n",
"121 Mauritania 4.490 0.570 \n",
"122 Mozambique 4.466 0.204 \n",
"123 Tunisia 4.461 0.921 \n",
"124 Bangladesh 4.456 0.562 \n",
"126 Congo (Kinshasa) 4.418 0.094 \n",
"127 Mali 4.390 0.385 \n",
"128 Sierra Leone 4.374 0.268 \n",
"129 Sri Lanka 4.366 0.949 \n",
"130 Myanmar 4.360 0.710 \n",
"131 Chad 4.350 0.350 \n",
"132 Ukraine 4.332 0.820 \n",
"133 Ethiopia 4.286 0.336 \n",
"135 Uganda 4.189 0.332 \n",
"136 Egypt 4.166 0.913 \n",
"137 Zambia 4.107 0.578 \n",
"138 Togo 4.085 0.275 \n",
"139 India 4.015 0.755 \n",
"140 Liberia 3.975 0.073 \n",
"141 Comoros 3.973 0.274 \n",
"142 Madagascar 3.933 0.274 \n",
"143 Lesotho 3.802 0.489 \n",
"144 Burundi 3.775 0.046 \n",
"145 Zimbabwe 3.663 0.366 \n",
"146 Haiti 3.597 0.323 \n",
"148 Syria 3.462 0.619 \n",
"149 Malawi 3.410 0.191 \n",
"150 Yemen 3.380 0.287 \n",
"151 Rwanda 3.334 0.359 \n",
"152 Tanzania 3.231 0.476 \n",
"153 Afghanistan 3.203 0.350 \n",
"154 Central African Republic 3.083 0.026 \n",
"155 South Sudan 2.853 0.306 \n",
"\n",
" Social Support Health (Life Expectancy) Freedom Generosity \\\n",
"0 1.587 0.986 0.596 0.153 \n",
"1 1.573 0.996 0.592 0.252 \n",
"2 1.582 1.028 0.603 0.271 \n",
"3 1.624 1.026 0.591 0.354 \n",
"4 1.522 0.999 0.557 0.322 \n",
"5 1.526 1.052 0.572 0.263 \n",
"6 1.487 1.009 0.574 0.267 \n",
"7 1.557 1.026 0.585 0.330 \n",
"8 1.505 1.039 0.584 0.285 \n",
"9 1.475 1.016 0.532 0.244 \n",
"10 1.548 1.036 0.557 0.332 \n",
"11 1.441 0.963 0.558 0.144 \n",
"12 1.455 1.029 0.371 0.261 \n",
"13 1.479 1.012 0.526 0.194 \n",
"14 1.538 0.996 0.450 0.348 \n",
"15 1.553 0.999 0.516 0.298 \n",
"16 1.454 0.987 0.495 0.261 \n",
"17 1.504 0.986 0.473 0.160 \n",
"18 1.457 0.874 0.454 0.280 \n",
"19 1.487 0.920 0.457 0.046 \n",
"20 1.310 0.825 0.598 0.262 \n",
"21 1.520 0.999 0.564 0.375 \n",
"22 1.323 0.861 0.433 0.074 \n",
"23 1.472 1.045 0.436 0.111 \n",
"24 1.430 0.914 0.351 0.242 \n",
"25 1.369 0.920 0.357 0.187 \n",
"26 1.269 0.746 0.535 0.175 \n",
"27 1.357 0.795 0.439 0.080 \n",
"28 1.313 0.871 0.555 0.220 \n",
"29 1.484 1.062 0.362 0.153 \n",
"30 1.442 0.910 0.516 0.109 \n",
"31 1.439 0.802 0.390 0.099 \n",
"32 1.465 0.891 0.523 0.127 \n",
"33 1.463 1.141 0.556 0.271 \n",
"34 1.242 0.789 0.430 0.093 \n",
"35 1.488 1.039 0.231 0.158 \n",
"36 1.368 0.871 0.536 0.255 \n",
"37 1.504 0.881 0.334 0.121 \n",
"38 1.477 0.713 0.489 0.185 \n",
"39 1.438 0.884 0.483 0.117 \n",
"40 1.529 0.756 0.631 0.322 \n",
"41 1.515 0.818 0.291 0.043 \n",
"42 1.410 0.841 0.470 0.099 \n",
"43 1.523 0.953 0.564 0.144 \n",
"44 1.325 0.835 0.435 0.200 \n",
"45 1.232 0.758 0.489 0.262 \n",
"46 1.432 0.881 0.471 0.066 \n",
"47 1.232 0.825 0.462 0.083 \n",
"48 1.223 1.042 0.406 0.190 \n",
"49 1.312 0.868 0.498 0.126 \n",
"50 1.319 0.808 0.493 0.142 \n",
"51 1.409 0.828 0.557 0.359 \n",
"52 1.465 0.812 0.264 0.075 \n",
"53 1.219 1.036 0.159 0.175 \n",
"54 1.528 0.874 0.495 0.103 \n",
"55 1.478 0.831 0.490 0.107 \n",
"56 1.402 0.798 0.498 0.215 \n",
"57 1.419 1.088 0.445 0.069 \n",
"58 1.236 0.828 0.507 0.246 \n",
"59 1.508 0.729 0.410 0.146 \n",
"60 1.209 0.706 0.511 0.137 \n",
"61 1.410 0.828 0.199 0.081 \n",
"62 1.475 0.777 0.514 0.184 \n",
"63 1.252 1.042 0.417 0.191 \n",
"64 1.274 0.854 0.455 0.083 \n",
"65 1.431 0.999 0.508 0.047 \n",
"66 0.886 0.535 0.313 0.220 \n",
"67 1.452 0.726 0.334 0.082 \n",
"68 1.293 0.657 0.558 0.117 \n",
"69 1.383 0.854 0.282 0.137 \n",
"70 1.328 0.739 0.245 0.181 \n",
"71 1.303 0.673 0.416 0.133 \n",
"72 1.361 0.871 0.197 0.142 \n",
"73 1.098 0.718 0.389 0.230 \n",
"74 1.266 0.914 0.296 0.119 \n",
"75 1.277 1.122 0.440 0.258 \n",
"76 1.401 0.779 0.497 0.113 \n",
"77 1.212 0.845 0.212 0.263 \n",
"78 1.360 0.808 0.195 0.083 \n",
"79 1.171 0.828 0.508 0.260 \n",
"80 1.465 0.789 0.235 0.094 \n",
"81 1.156 0.999 0.067 0.000 \n",
"82 1.531 0.667 0.317 0.235 \n",
"83 1.294 0.838 0.345 0.185 \n",
"84 1.111 0.245 0.426 0.215 \n",
"85 1.438 0.723 0.508 0.300 \n",
"87 1.160 0.785 0.086 0.073 \n",
"88 0.782 0.782 0.418 0.036 \n",
"89 1.147 0.769 0.351 0.035 \n",
"90 1.224 0.815 0.216 0.166 \n",
"91 1.203 0.660 0.491 0.498 \n",
"92 1.125 0.893 0.521 0.058 \n",
"93 1.346 0.851 0.543 0.147 \n",
"94 1.321 0.604 0.457 0.370 \n",
"95 0.910 0.331 0.381 0.187 \n",
"97 0.868 0.486 0.381 0.245 \n",
"99 1.226 0.677 0.439 0.285 \n",
"100 1.225 0.815 0.383 0.110 \n",
"101 0.437 0.397 0.349 0.175 \n",
"102 0.799 0.508 0.372 0.105 \n",
"103 1.183 0.571 0.295 0.043 \n",
"104 1.030 0.551 0.547 0.266 \n",
"105 1.351 0.469 0.389 0.130 \n",
"106 0.848 0.874 0.383 0.178 \n",
"107 1.427 0.805 0.154 0.064 \n",
"108 1.122 0.637 0.609 0.232 \n",
"109 1.247 0.672 0.225 0.103 \n",
"110 1.134 0.571 0.292 0.153 \n",
"112 1.313 0.477 0.401 0.070 \n",
"113 0.774 0.366 0.318 0.188 \n",
"114 1.056 0.380 0.255 0.177 \n",
"115 1.055 0.815 0.283 0.095 \n",
"116 0.842 0.785 0.305 0.270 \n",
"118 0.666 0.752 0.346 0.043 \n",
"120 0.983 0.581 0.431 0.372 \n",
"121 1.167 0.489 0.066 0.106 \n",
"122 0.986 0.390 0.494 0.197 \n",
"123 1.000 0.815 0.167 0.059 \n",
"124 0.928 0.723 0.527 0.166 \n",
"126 1.125 0.357 0.269 0.212 \n",
"127 1.105 0.308 0.327 0.153 \n",
"128 0.841 0.242 0.309 0.252 \n",
"129 1.265 0.831 0.470 0.244 \n",
"130 1.181 0.555 0.525 0.566 \n",
"131 0.766 0.192 0.174 0.198 \n",
"132 1.390 0.739 0.178 0.187 \n",
"133 1.033 0.532 0.344 0.209 \n",
"135 1.069 0.443 0.356 0.252 \n",
"136 1.039 0.644 0.241 0.076 \n",
"137 1.058 0.426 0.431 0.247 \n",
"138 0.572 0.410 0.293 0.177 \n",
"139 0.765 0.588 0.498 0.200 \n",
"140 0.922 0.443 0.370 0.233 \n",
"141 0.757 0.505 0.142 0.275 \n",
"142 0.916 0.555 0.148 0.169 \n",
"143 1.169 0.168 0.359 0.107 \n",
"144 0.447 0.380 0.220 0.176 \n",
"145 1.114 0.433 0.361 0.151 \n",
"146 0.688 0.449 0.026 0.419 \n",
"148 0.378 0.440 0.013 0.331 \n",
"149 0.560 0.495 0.443 0.218 \n",
"150 1.163 0.463 0.143 0.108 \n",
"151 0.711 0.614 0.555 0.217 \n",
"152 0.885 0.499 0.417 0.276 \n",
"153 0.517 0.361 0.000 0.158 \n",
"154 0.000 0.105 0.225 0.235 \n",
"155 0.575 0.295 0.010 0.202 \n",
"\n",
" Perception of Corruption \n",
"0 0.393 \n",
"1 0.410 \n",
"2 0.341 \n",
"3 0.118 \n",
"4 0.298 \n",
"5 0.343 \n",
"6 0.373 \n",
"7 0.380 \n",
"8 0.308 \n",
"9 0.226 \n",
"10 0.290 \n",
"11 0.093 \n",
"12 0.082 \n",
"13 0.316 \n",
"14 0.278 \n",
"15 0.310 \n",
"16 0.265 \n",
"17 0.210 \n",
"18 0.128 \n",
"19 0.036 \n",
"20 0.182 \n",
"21 0.151 \n",
"22 0.073 \n",
"23 0.183 \n",
"24 0.097 \n",
"25 0.056 \n",
"26 0.078 \n",
"27 0.132 \n",
"28 0.167 \n",
"29 0.079 \n",
"30 0.054 \n",
"31 0.086 \n",
"32 0.150 \n",
"33 0.453 \n",
"34 0.074 \n",
"35 0.030 \n",
"36 0.110 \n",
"37 0.014 \n",
"38 0.016 \n",
"39 0.050 \n",
"40 0.240 \n",
"41 0.042 \n",
"42 0.034 \n",
"43 0.057 \n",
"44 0.127 \n",
"45 0.006 \n",
"46 0.050 \n",
"47 0.005 \n",
"48 0.041 \n",
"49 0.087 \n",
"50 0.097 \n",
"51 0.028 \n",
"52 0.064 \n",
"53 0.056 \n",
"54 0.161 \n",
"55 0.028 \n",
"56 0.060 \n",
"57 0.140 \n",
"58 0.078 \n",
"59 0.096 \n",
"60 0.064 \n",
"61 0.020 \n",
"62 0.080 \n",
"63 0.162 \n",
"64 0.027 \n",
"65 0.025 \n",
"66 0.098 \n",
"67 0.031 \n",
"68 0.107 \n",
"69 0.039 \n",
"70 0.000 \n",
"71 0.152 \n",
"72 0.080 \n",
"73 0.144 \n",
"74 0.022 \n",
"75 0.287 \n",
"76 0.101 \n",
"77 0.006 \n",
"78 0.106 \n",
"79 0.024 \n",
"80 0.142 \n",
"81 0.034 \n",
"82 0.038 \n",
"83 0.034 \n",
"84 0.041 \n",
"85 0.023 \n",
"87 0.114 \n",
"88 0.076 \n",
"89 0.182 \n",
"90 0.027 \n",
"91 0.028 \n",
"92 0.100 \n",
"93 0.073 \n",
"94 0.167 \n",
"95 0.037 \n",
"97 0.040 \n",
"99 0.089 \n",
"100 0.130 \n",
"101 0.082 \n",
"102 0.093 \n",
"103 0.055 \n",
"104 0.164 \n",
"105 0.055 \n",
"106 0.027 \n",
"107 0.047 \n",
"108 0.062 \n",
"109 0.066 \n",
"110 0.072 \n",
"112 0.056 \n",
"113 0.102 \n",
"114 0.113 \n",
"115 0.064 \n",
"116 0.125 \n",
"118 0.164 \n",
"120 0.053 \n",
"121 0.088 \n",
"122 0.138 \n",
"123 0.055 \n",
"124 0.143 \n",
"126 0.053 \n",
"127 0.052 \n",
"128 0.045 \n",
"129 0.047 \n",
"130 0.172 \n",
"131 0.078 \n",
"132 0.010 \n",
"133 0.100 \n",
"135 0.060 \n",
"136 0.067 \n",
"137 0.087 \n",
"138 0.085 \n",
"139 0.085 \n",
"140 0.033 \n",
"141 0.078 \n",
"142 0.041 \n",
"143 0.093 \n",
"144 0.180 \n",
"145 0.089 \n",
"146 0.110 \n",
"148 0.141 \n",
"149 0.089 \n",
"150 0.077 \n",
"151 0.411 \n",
"152 0.147 \n",
"153 0.025 \n",
"154 0.035 \n",
"155 0.091 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Rename the columns to make it more easy to understand\n",
"\n",
"happiness = happiness.rename(columns = {'Overall rank': 'Rank', 'Country or region': 'Country', \n",
" 'GDP per capita': 'Economy (GDP per Capita)', 'Social support': 'Social Support', \n",
" 'Healthy life expectancy': 'Health (Life Expectancy)', \n",
" 'Freedom to make life choices': 'Freedom',\n",
" 'Perceptions of corruption': 'Perception of Corruption'})\n",
"\n",
"#cleaning null value and inconsistent data\n",
"happiness.drop(index=86,axis=0 , inplace=True)\n",
"happiness.drop(index=96,axis=0 , inplace=True)\n",
"happiness.drop(index=98,axis=0 , inplace=True)\n",
"happiness.drop(index=111,axis=0 , inplace=True)\n",
"happiness.drop(index=117,axis=0 , inplace=True)\n",
"happiness.drop(index=119,axis=0 , inplace=True)\n",
"happiness.drop(index=125,axis=0 , inplace=True)\n",
"happiness.drop(index=134,axis=0 , inplace=True)\n",
"happiness.drop(index=147,axis=0 , inplace=True)\n",
"\n",
"# Dropping the unimportant columns\n",
"\n",
"happiness.drop(['Rank'], axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"number of dyplicate rows: (0, 9)\n"
]
}
],
"source": [
"# Checking if the rows containing any duplicate data or not\n",
"\n",
"duplicate_rows_happiness = happiness[happiness.duplicated()]\n",
"print(\"number of dyplicate rows: \", duplicate_rows_happiness.shape)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Rank 0\n",
"Country 0\n",
"Score 0\n",
"Economy (GDP per Capita) 0\n",
"Social Support 0\n",
"Health (Life Expectancy) 0\n",
"Freedom 0\n",
"Generosity 0\n",
"Perception of Corruption 0\n",
"dtype: int64\n"
]
}
],
"source": [
"# Find the null values.\n",
"\n",
"print(happiness.isnull().sum())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Rank 147\n",
"Country 147\n",
"Score 147\n",
"Economy (GDP per Capita) 147\n",
"Social Support 147\n",
"Health (Life Expectancy) 147\n",
"Freedom 147\n",
"Generosity 147\n",
"Perception of Corruption 147\n",
"dtype: int64"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Drop the missing values.\n",
"happiness = happiness.dropna() \n",
"happiness.count()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Rank 0\n",
"Country 0\n",
"Score 0\n",
"Economy (GDP per Capita) 0\n",
"Social Support 0\n",
"Health (Life Expectancy) 0\n",
"Freedom 0\n",
"Generosity 0\n",
"Perception of Corruption 0\n",
"dtype: int64\n"
]
}
],
"source": [
"# After dropping the values\n",
"\n",
"print(happiness.isnull().sum())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"R2: 0.5694117211173655\n"
]
}
],
"source": [
"# Decision Tree Regression\n",
"\n",
"x = pd.DataFrame(np.c_[happiness['Economy (GDP per Capita)'], happiness['Social Support'], happiness['Health (Life Expectancy)']], \n",
" columns = ['Economy (GDP per Capita)','Social Support','Health (Life Expectancy)'])\n",
"y = happiness['Score']\n",
"\n",
"# split the data using train_test_split\n",
"from sklearn.model_selection import train_test_split\n",
"x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state=42)\n",
"\n",
"# build the model\n",
"from sklearn.tree import DecisionTreeRegressor\n",
"regressor = DecisionTreeRegressor()\n",
"\n",
"# Fitting Decision Tree Regression into dataset\n",
"regressor.fit(x_train, y_train)\n",
"\n",
"y_pred = regressor.predict(x_test)\n",
"\n",
"# test the accuracy/performance measurement using R2\n",
"print('R2: ', regressor.score(x_test, y_test))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Real Values</th>\n",
" <th>Predicted Values</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>132</th>\n",
" <td>4.332</td>\n",
" <td>5.261</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>6.008</td>\n",
" <td>5.523</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>3.597</td>\n",
" <td>4.085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>6.852</td>\n",
" <td>6.118</td>\n",
" </tr>\n",
" <tr>\n",
" <th>107</th>\n",
" <td>4.707</td>\n",
" <td>6.125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>7.139</td>\n",
" <td>6.223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>5.425</td>\n",
" <td>5.523</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>6.300</td>\n",
" <td>6.125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td>5.287</td>\n",
" <td>5.339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>7.246</td>\n",
" <td>6.985</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>6.436</td>\n",
" <td>6.253</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>4.913</td>\n",
" <td>5.779</td>\n",
" </tr>\n",
" <tr>\n",
" <th>152</th>\n",
" <td>3.231</td>\n",
" <td>4.996</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td>5.648</td>\n",
" <td>5.888</td>\n",
" </tr>\n",
" <tr>\n",
" <th>142</th>\n",
" <td>3.933</td>\n",
" <td>4.286</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>5.653</td>\n",
" <td>4.996</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>6.892</td>\n",
" <td>6.825</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>5.603</td>\n",
" <td>6.125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>131</th>\n",
" <td>4.350</td>\n",
" <td>4.374</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>6.321</td>\n",
" <td>6.293</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>6.354</td>\n",
" <td>6.223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>108</th>\n",
" <td>4.700</td>\n",
" <td>4.166</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>6.199</td>\n",
" <td>6.446</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>4.456</td>\n",
" <td>5.208</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>5.890</td>\n",
" <td>5.743</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>6.595</td>\n",
" <td>5.523</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>5.697</td>\n",
" <td>5.386</td>\n",
" </tr>\n",
" <tr>\n",
" <th>141</th>\n",
" <td>3.973</td>\n",
" <td>4.286</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>5.285</td>\n",
" <td>4.696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>7.167</td>\n",
" <td>5.323</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Real Values Predicted Values\n",
"132 4.332 5.261\n",
"51 6.008 5.523\n",
"146 3.597 4.085\n",
"19 6.852 6.118\n",
"107 4.707 6.125\n",
"12 7.139 6.223\n",
"76 5.425 5.523\n",
"31 6.300 6.125\n",
"81 5.287 5.339\n",
"9 7.246 6.985\n",
"26 6.436 6.253\n",
"99 4.913 5.779\n",
"152 3.231 4.996\n",
"67 5.648 5.888\n",
"142 3.933 4.286\n",
"66 5.653 4.996\n",
"18 6.892 6.825\n",
"69 5.603 6.125\n",
"131 4.350 4.374\n",
"30 6.321 6.293\n",
"29 6.354 6.223\n",
"108 4.700 4.166\n",
"36 6.199 6.446\n",
"124 4.456 5.208\n",
"55 5.890 5.743\n",
"22 6.595 5.523\n",
"64 5.697 5.386\n",
"141 3.973 4.286\n",
"82 5.285 4.696\n",
"11 7.167 5.323"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame({'Real Values':y_test, 'Predicted Values':y_pred})\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualising the Decision Tree Regression Results \n",
"\n",
"X_grid = np.arange(0, 10)\n",
"X_grid = X_grid.reshape((len(X_grid), 1))\n",
"plt.scatter(y_pred, y_test)\n",
"plt.title('Decision Tree Regression')\n",
"plt.xlabel('Predicted Score')\n",
"plt.ylabel('Score')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.5222810333333335"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn import metrics\n",
"mse = metrics.mean_squared_error(y_test, y_pred)\n",
"mse"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"mean in first_cv_scores is -0.87 and in second_cv_scores is -0.68\n"
]
}
],
"source": [
"# k-fold cross validation of decision tree regression\n",
"\n",
"from sklearn.model_selection import cross_val_score\n",
"regressor = DecisionTreeRegressor()\n",
"\n",
"first_cv_scores = cross_val_score(regressor, x, y, cv=5, scoring='neg_mean_squared_error')\n",
"second_cv_scores = cross_val_score(regressor, x, y, cv=10, scoring='neg_mean_squared_error')\n",
"print('mean in first_cv_scores is {0:.2f} and in second_cv_scores is {1:.2f}'.format(np.mean\n",
"(first_cv_scores),\n",
" np.mean\n",
"(second_cv_scores)))\n",
"\n",
"# neg_mean_squared_error is better when close to 0.0"
]
},
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