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<title>How to make choropleth maps with R</title>

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<h1>How to make choropleth maps with R</h1>

<p>There are many tools to make choropleths out there, each offering various levels of difficulty, and with various advantages. There are <a href="http://cartodb.com/">cartodb</a> and <a href="http://mapbox.com">mapbox</a> which are great for creating server-&ldquo;baked&rdquo; tilesets, <a href="http://leafletjs.com">leaflet</a> and <a href="http://d3js.org">d3.js</a> for making client-side visualizations with html, css, and javascript. My favorite, particularly at the prototyping stage, however, continues to be R and <a href="http://ggplot2.org/">ggplot2</a>. The awesome thing with R choropleths are that, with some practice:</p>

<ul>
<li>They are the fastest to prototype and iterate on.</li>
<li>You are making maps within the R environment, so prototyping not just the look of the map, but also what data feeds into the map, become super easy.</li>
</ul>

<p>With that introducation, let us begin.
(Might as well install the full list of packages used in this example at this point&ndash;type <code>install.packages(c(&quot;plyr&quot;, &quot;ggplot2&quot;,&quot;rgeos&quot;, &quot;maptools&quot;)))</code> in your R window).</p>

<h2>The data we will be mapping today</h2>

<p>I started this exercise with a dataset from Nepal&#39;s <a href="http://soce.gov.np/">Office of the Controller of Examinations</a>, which shows pass / fail percentages and some other data for the SLC <a href="http://en.wikipedia.org/wiki/School_Leaving_Certificate_(Nepal">&ldquo;School-Leaving Certificate&rdquo;</a>) in Nepal, a national examination that takes place at the end of 10th grade. The data is for the Nepali years 2062 and 2063 (2062 is mid-April 2005 to April 2006, 2063 is 2006-7), because those are the only <a href="http://soce.gov.np/school-performance/">digital versions</a> accessible to us.</p>

<p>Acrobat was able to scan these pdfs into Excel files for us, which we lightly cleaned up to produce the dataset that you can also find in this repository.</p>

<pre><code class="r"># READ IN DATA
edu63 &lt;- read.csv(&quot;~/Downloads/fstat-063 reformatted.csv&quot;)

# WHAT COLUMNS DO WE HAVE?
library(plyr)
colwise(class)(edu63)
</code></pre>

<pre><code>##   School.Number School.Code   Name District     ENG     NEP    MATH
## 1       integer     integer factor   factor numeric numeric numeric
##       SCI     SOC     HPE     TAP     SAP    DIST   FIRST  SECOND   THIRD
## 1 numeric numeric numeric integer integer integer integer integer integer
##      PASS    FAIL PASS.PERCENT     SEM
## 1 integer integer      numeric numeric
</code></pre>

<pre><code class="r"># more detailed output of &#39;structure&#39; can be gotten with str(edu62), I&#39;m
# using the above code to have a more concise output
</code></pre>

<p>So, basically, what we have are data, by school (with school code and name), as well as by district, the total number of students, and number of folks passing various subjects, as well as the column we&#39;ll look at deeply here PASS.PERCENT, or percentage of students attending the exams who passed the SLC.</p>

<p>Okay, now to get some maps. <a href="http://gadm.org">GADM.org</a> is a great resource for administrative boundaries of countries around the world&ndash;I will go ahead and download the &ldquo;Admin Boundary Level 3&rdquo; shapefiles for Nepal from GADM, which correspond to districts we have in the dataset.</p>

<h2>Loading the map up</h2>

<p>Next, we load the map into R. To do this, we&#39;ll use the <code>maptools</code> packages, which also needs rgeos installed. You might want to install these by doing <code>install.packages(c(&quot;rgeos&quot;, &quot;gpclib&quot;, &quot;maptools&quot;, &quot;sp&quot;))</code> (I&#39;ve included the sp package while we&#39;re at it&ndash;this is a package that provides map represnetations shared by many other packages.)</p>

<pre><code class="r">library(rgeos)
library(maptools)
library(gpclib)  # may be needed, may not be

# MAP
np_dist &lt;- readShapeSpatial(&quot;~/Downloads/NPL_adm/NPL_adm3.shp&quot;)
# VERIFY IT LOADED PROPERLY
plot(np_dist)
</code></pre>

<p><img 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" alt="plot of chunk unnamed-chunk-2"/> </p>

<h2>Choropleth iteration I</h2>

<p>We&#39;ll now generate our first choropleth&ndash;which will need plenty of revision&ndash;just to demonstrate the method in ggplot2! The method is to first <a href="http://docs.ggplot2.org/0.9.2.1/fortify.sp.html">fortify</a> the map object we have read in, where we provide to ggplot the name of a region (for us, this is district, ie, <code>NAME_3</code> for admin level 3). We&#39;ll also go ahead and uppercase the name of the districts because that is how our data names districts, and just try and produce <em>something</em>.</p>

<pre><code class="r">library(ggplot2)
np_dist &lt;- fortify(np_dist, region = &quot;NAME_3&quot;)
np_dist$id &lt;- toupper(np_dist$id)  #change ids to uppercase
ggplot() + geom_map(data = edu63, aes(map_id = District, fill = PASS.PERCENT),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat)
</code></pre>

<p><img 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pcJ51XsI7y3oFbx7dYJihQWAkJACAgBISAE7IKAWKBtfJnHxyfw5CsfKgpwPsV21lf+/OhL+MaXLsQllKFQG3EhqzVH3litkhodCAeysosIASEgBISAEBACQmAhAVGgFxKxsc9/evgFvLP7oMGj5jTfeScqtFagOVLFahVfT1f871Wb502PI42IQj0PiXwQAkJACAgBIWC3BESBtuGl37Ev1yjKMyNg5fC6K87TmsauY9Val7W1gn2UROXRt/MwRHGgA7zdFVeVD49W4cysGJyTHYfM+BA4Oop12tbWVcYrBISAEBACQsBYBESBNhZJM7bD1tB/PvUmXvvgU6P06ufjhY2nbYWLm6dW7XH/nHBkNcv7hysXTe+9Q5Xg193fPRc5yWGobulBMIW48/F0W1RWTggBISAEhIAQEAKrl4BJFejBwUG88cYb6OnpQUpKCi688EKFZElJCT7++GNMTEzgmmuuQXh4+OolbIKZHS+rxjOv7zRKy0EBfvCIzkJe4yhufWIv/vCtsxFJsZ2Xklc+KcEHh6vg6+GKaCrXMzCCth7jZDNcqk9rO//HZ/fj3Jw48EbD8EBv/P3Gme+1tY1TxiMEhIAQEAJCQAiYhoBJo3Ds2bMHa9aswY9//GNUVFSgrq4OIyMjePvtt/GNb3wDV155JV544QXTzGwVtzpM4eqMIWHBgQhJWofBUxmrmzoHcO+LB9DaNTDb/MjYBFhp5oyDLMG+nmjs6EdL9yBONnSho3eIXBqCkRQZMFsnxM8TiRH+s59X28HA8JgSB5tdPZjBnc98iq7+YfyNsjEWVrautunKfISAEBACQkAICIEFBExqgf785z+vdNfd3Y3e3l54eXmhtbUVMTEx8PT0VF7Dw8OKJdrZeWYo5eXlOHlyLr5wUFAQ0tPTFwzbsI/s78svf3/bU/JGSXl++jXjWJ9j0rJQ2TmjGKuIltV34Zv3voO0mGAMkg9wP2Xk6x0cQVF1J0L8vXCwuF5VVHnnvYTFNR3KMddxc3UmJbIF7aRYZ8SFKOmwq5u6MDhySkufV3t1fNh/vAH5FW00xzGyStfhl187G5dsTbWayTk5OcHDQ/s431YzcAMHwr8p/LLFv3MDp67M293d3dBmbK6+q6urrLnNrZphA3Zzc6M9KY52+XduGDmpbSgBkyrQPLi+vj48++yz8PHxAf+gNzQ0KIqzauD8Dzu7evj5+Smn2K1jdHRUdRljY2NGj36giqagep/tzIoP+voH8bX//QOq6pvBoesMleSEWFQtUJ7V2yyrn1GKVecOlzSoDpd8X1inpLZdKRsX7o9B8hdezcLKMwtb6u997hPlZmNzRrRVTFl1w2gVgzHjIFR/36p3M3Zt8a7sdc0ZvL3O3Z7nrVp3i//hyQDsioDJFWhfX1/ceOONis8z+z0nJyfPU5DHx8cVy7SKekZGBvilLjU1NeofDT5mi5y3tzfYMm4LUtfUhlvu/heq61uMMlz+oXUKisf0gHniONe39iAiyBvN5CJiD8JuLzfd/zZyksKQHheE/zk7Ax5uLhabOlto1G9KLTYQM3fMN+f8t24rf+fGxMPGCnaXszfh33Ved1lz+1l51jFcXFyscs1VhkH7WQ37mqlJfaBffvllxe+ZkU5NTSlKa0REBBobG5Usb+y+wREdVO4b9oVe82yrycL8r+fewSeHC5UCPX0D+MVdxlOeuVElpjHMF8eZ037bY9C3fPKHfmH3CRwpa1bWkv8GbvzDY3jspR0YHVu9Li3KZOV/QkAICAEhIARWMQGTWqC3bduGt956S3HdYKvntddeqxxv2rQJjzzyCPr7+3H55ZevYry6Te2/lFHw4Wfenq3k7eWBgcHh2c/GOogMC0b7IFufzaPWZsQFkw/1jDvHcnOgrwg8yIc61M8ddR2DiA/1Rg/tcOzqt21L2p9fPIjOrh4cOJKP/JIa5dXa2Yvf/ujq5XDINSEgBISAEBACQsBKCZhUgY6OjsYNN9yg+DHz5g6VnHnmmWDlmh3/+SUClNc04lGyPKuLKZRnbt8/bg2a+8zjvsH90UOGJSUt0geO0+OYcnBBTWkhxshKW3Ciix7DuiOvfATrstehx8EdU8s1smTr1nFhkub06nsfo6ZhLkJHcXkdbZ6dpKcvTtYxSBmFEBACQkAICAEhoDUBs2iv6sqzamTstiHKs4oG8OTLH5CbyzKa5lxRg4+8pgcUNw6DG9KyAdUGO1XxRL8JTLQUw32gFof37cbBT/cp723tHejs7FKKDQ/PWJ0LCwqRGuGtqmpz727ODgiYaJunPPMk6ls6yZ3jcQwNz22YtbnJyYCFgBAQAkJACNgpAbMo0HbKVqdpq1sndaqoR+EjR44h1nl+lA09mtG6ivoGOmcnBzTWN1DklSEKadimVRsl+UfgNVSPOK9ReI80wHesCelhc080tGrEQoW83BzR2KKZ9XGyQj//7qcWGpl0KwSEgBAQAkJACOhLwKQuHPoOSuqZnkBJWQXis8PQofhCm7a/kw2dyEoIUdwwnKYmUDfoCCdy3WHXBm2kj3zl+dXUPBeFxN8/kKpad5zb5GBn5B3LW3aKz779CS45az0iQ3k+IkJACAgBISAEhIAtEBALtBWs0q79x1BZ22TWkYyT/62/i3EyGq408InJaWUTISdcKazrQY97LJLXnQZ3N/2tyGOj1r+xsKJjArGRocviGaOY3tff8gBue+AFlFY1LFtWLgoBISAEhIAQEALWQUAUaCtYh1fe+8RCozBPFA5Nk2vpn0Rm1jpNl7Q6502xP61ZInydkRrkgBEt0q6PUMbHvUeK0dHdPzslDjUoIgSEgBAQAkJACFgnAVGgLbwu/3ruXRSWVllkFA7T2rlQmGpwFd0OiA4P0bl5R0cHOHvMZK7UubKZKvi4TiM3rxBtndplYPz2VZ/D9o0ZlDp9GMeKq/CtXz2IN3YeNtNopRshIASEgBAQAkJAFwLiA60LLSOWnZicxN8eexmvfWC5TWSF+XnIWr8RTYNOGLJQXo+Obu0UTHX0wUFBKG2as9aqX7OWYwfodnPy8eFilFY34khRBVmtZxbjviffxvv7juHR3/3QWqYl4xACQkAICAEhIASIgFigLfA1qG9uxxXfvc2iyjNPm90Ljhw8gEivSQtQADxd2MVBd83dPyDAIuPVpdOhCd3iO5fXNmPf0ZJ5PHiTZXF5PYpO1urStZQVAkJACAgBISAETExALNAmBsyW5t378+BKGfZ6egdwzrYc7Pw0l/xde03cs/bNT1roPirCbQgzSa61G6uTkxOSkhIQFBqB1mbjZ2jUbhTLl0oJdkJzfS1O1HUvX1DLq9ty0rAmOUbL0lJMCAgBISAEhIAQMAcBUaBNSLlvYAhfvemP85Tlex5+wYQ96t40R8Ko1t2LQveONNQYH9MtkkbGprNQ3zFgtcozT3Fk0oH8ng2/OQry98H9v/42EqKXj+KhAaucEgJCQAgIASEgBExMQFw4TAj4g48Pz1OeTdiV3k17UspswDLROKY9grUed1xsrKI8a13BQgUbe8YRHGh4hJBzt6yl2NABaGztxMmaJq1jZlto2tKtEBACQkAICAG7IiAWaBMtd0lFrcV9nFeamqeHG5JSklFh5v14rpTeemxiGu6O2vs/BwQGoMfM41yJn6brib7jyKs13KR/qOAkPssrQ1PbTGrzp/70v0iMCdPUpZwTAkJACAgBISAEzExAFGgTAH/gydfx/p5D6CafZ2uTtOR4+Pj5w8HRCZ0TnqQ8mzfecISvI0rzDiE0yB95NX1a43H3oY2D/YNal1+qoBM9c0nwGUd3dzccfCIoE6NxN1COOHgu1bVO5+tbOueV//V9z+KPP/0qkmLD552XD0JACAgBISAEhID5CYgCbQLmnKbaGpTn0KAARMdEYdQlAJM9DZimqA7tztFom9VDzas8M+pOSh3u6+OpdXxkruPv74fuYcPH6u3uDOf+elLcO7hZrF/PCrRyaLT/NfRMIDzYHy0dhluh1QfVQAr1zgOFCCTf6ABfL/VLciwEhIAQEAJCQAiYmYD4QJsA+FUXn2mCVrVvMjUpDjlbtmM8JBPVI/5oIitzq1MUWkl5NlwN1X4cmkqOkcE3LS1d06Ulz6WvXYeW7qElr2t7Id4fqG+eUZ65TkNtFcJ89LuHdCC3cSXbIEXdCPScC1nnwaH5xrR3TdF27Fzu6Tf34ks33auk/r738Td0qSplhYAQEAJCQAgIASMS0E97MOIAVmNTEaGBSIgJR3V9i1Gml5WRBEfS2Kbpv8HhUQwNjyEsyA9jY2M4UT4XI9jbywPpWTmo7CGFTkMgCAfW+qxABvt0s84OjBv2NeW02GmhLjh6rHDe7Nu7+uDiUouAgFh0Dy3tyuFCmQ9jApzggnG0DTuDs2z7Tvei+Hi10h5HzEiKisCwoxdGu5vQ1mdks7baqMfGJ1BV34pzT1urdhYYHBrBYy99hIaWDgT6+eDb15xPlnByexERAkJACAgBISAEjE7AMM3E6MNZPQ1uzErVSYFevzYFfZTG2dPdDewCMkVaWj/5/Pp4e6KovG4RmJaObri6OOP007dgfHwck04e5JrhQMrzoqJWd4IVf20lOSnRoOgbvu6OcB9pQ26u5ojTTa1d2BAWRgr00n8KLrTpsbT4OEZPWZb5RoSVcpV00u5GfplTnnx9DwooBbyPp7viF/36joMU8WXOp9zH2wM3ff3z5hyS9CUEhIAQEAJCwG4ILK012A0C00z07C3ZeOW9T1ZsPDjQD9ERocgvrVmxrHqBiPAwBMevRQnFRQbZRm1BAj0d4Yc+FBxv1Hq4/oFBaJ8JRKFVnQAvsr6TbhtMe/kGezvR3NSBxoHlk6709PBdx9Ih9QZHJ+Gn+G3PmPXVlWetBmWCQpylkK3NzRSlY/fB+ZZ17m56akbBL61qQFJcFMoq67A2Nc4EI5EmhYAQEAJCQAjYHwFRoE205puz0/Do3T/DXQ8+h9rG1kW9cAi59KRYFJTVorOvZtH1lU6EJa5FTZv1RfnQNO44f7KoD3aipLhK53jGPd2sPQdqanbROXZQmepuUJRKVtFZydRG6hrbkLo2HPXdE/D3cESY50y9aQfaIjA5gbKKSrQPjWrTlNWUefG9fdh1oECxSrPF3Iu+b/fc/A3KahgLN1fbuOGyGpgyECEgBISAEBACCwjIJsIFQIz5MZt8l6+46IxFTbJCE0QRMvLI6syuGvrI9GAHMiI89KlqtjoJAY7wGqhCYe4hHC+t0FqhVR9gf7/2rhEpQU6KVZYVZ22VZ+7LkXyc3RynkeI/gfGuOhzNK1JeuccKkFtQjIHBkXkuG+rjs8RxXGQI0uLD0dK+fLpwlUsHW8wHyEf6xt89inf3HLHEkKVPISAEhIAQEAKrioBYoE28nKOjMxEZwkMC4ezsRBv/xhEVEaKzy8bCYRYUFGDbWZ9beNqqPve11aOJMukZIq2tbdiaugYlTXMb83gvZFKQM7pHptFLm/+cSQEO8XHCiZJivbrijXl5efl61bVEpcHBQdTUa9glqsVgnnt7L/qHhvH1y8+lG4eZ++eC0moE+fvC3c0FwQGGZ1HUYhhSRAgIASEgBISATRMQBdqEyzcxMYmd+48hOSEG7d296Ouesaa2984pg4Z0PzbM7VnvQwR9resLmRzc9zG2bT8TJS0jyqXUgCmKqJGnHKs29HWSVm2s/hb2b22fOVV4e5d+CnQzWa3/9cKHSE+MgY+XO/7zyk7ajFhNG1EnlGm++Pdb4OXphp6+ISWVuErJtjYGMh4hIASEgBAQApYkIAq0iek3tHXPRm8wdlcuLq7U5IziY+y2DW3PiazEAwPGuVHgsRz4dB9Z8J0xNTWJ3vhoJYxfa2fvrGuFvSjPzILuywyW/7vrcWVjZG//XHxtHwqD2NM3gPc/ycVjL36IH3zlYlx/pXU/5TAYhDQgBISAEBACQkAPAtZrvtRjMtZUZXJyCjff87jJlGeea+eodW4GYxcL35H6eWHVjLE2ExMTpEBPo6yqHuFB9utqwHGgeVOgoaKuPHNb/RRG8du/ekBRnvnz/twTKK9pUr7DuviUc10RISAEhIAQEAKrmYBYoE2wuoPDI3j0ufdwML/UBK3PNTk6bgRT5FxzRjvyoLjJTa1zGf+M1rBaQ/XNbWqf7OuQre2JsZEoKqsx6cSPU/zxb95yv9LHeduy8eXLzkRmSqxJ+5TGhYAQEAJCQAjYAgFRoI24Shzt4D+vfIRX3/8U3fQo3FSy9YztcHB0Rknz8vGNTdX/cu3G+DvBdaIPzad8apcra8g1T3d3dPXbVmg5Q+arXjcmIkixFqufM+Wxk5MjstIkhrQpGUvbQkAICAEhYFsERIE24nrxY+4ySlxhSuWZhzsKd1Q3ax/ezYhTXLapxAAH5B09uGwZY10MpAQ0De36baQz1hgs0Q6ndHegG7UaDbHFTTUeb8p2yBboQEpZLiIEhIAQEAJCQAhYcwgHG1wdZycnZKcnmHzkPU0VSA9zRaCPu8n70raDIE8nFOYd1ba4QeUCKeRaa4f9Kc8MbW1KjMbEPAYBXaEy+0q/8O4nK5SSy0JACAgBISAE7IeAbCI00lqz+8Zzb+3Bf1/baaQWl26muroGB/fvg5/DACnSLkjyt7wvtPdUF3jjpDkkOMAPHIHD0hIfGQwPN46EYlpJignDutRYpMSGoqah2bSdLdE6byZUSV1Tu06JalT15F0ICAEhIASEwGohQE+DSfOzYuHhtbYuToVtyJA5tm1ISIjR2mXF8ce3/wOHTLxpcKk5O9F8tp55Dk62DGPcTEqsaixerg6I9hrH4aMzcZlV5039npmWhJIqTthtGclJjcbBg4fh7+eL6IRkJQa1y/QYTjb2zIbWUx9ZWJB+Sr+fjyd6eix/s8BzSYmPRN/AELp6BhAW7I9bb7wWm7JS1KdpVceurq7w9vZGVxeng7cv4ZCPHLXG3sTDwwNubhTHvKfH3qauhPm0xzX38vKCEz397evrs7o1DwsLA+cqEFmdBKzeB5q/fCMjMwk0jLUE/MfGirkx2q2ub8Ev/vRvvRNbGGNO7Hu9f+9ubNy0GZU95nuo4O3mgEiPMVKezZ/Fr7m1He6uLhihzI66SlRYIAI8XeBI3wNgGsVVrTpbVEdHZjZw9vT2oSf/2OwQNmzahBNVc9Za/v5mxAZTTGz9fNb9fbysRoFWt0I3tHRg12d5ikvJ7OSt7IDZT9HfhjH+zq1saisOx5022drjvPnGgV/2OHd7XXO+UWaxxjUX5XnFnyqbLmD1CrS10+3uHQArE9Ygx3KPYuv2s9HYO4m+oTGTDynMCziWW2jyfjR10NXTh3UZyThe0QBPd1eMUUi/iUnNriysaPu6jJPC7IzQsFDUkgtMZcncmmVv2ABHB0e4kD5dUtOKcS0ylQwOziUgUR9ffXUVnJ28lLEE+XvDA2M4lleAAH8/ODh5a7ROq9dfeFxL7hKJMeGoohs1a5Pw4ABrG5KMRwgIASEgBISAWQiYz1xplumYpxNW1I4WncQD/30TZdUNSIqLME/HK/TCVvUDlPY6ykzBEqbhQI/OLPcVcndzQlJ0MIaGBjAxPozstFiwOwtv5lSX1NgQ1NU3oaamDocPHUVr25zyzOWK8vOQRzcfhw8fRXp8uHpVjcc85/oGze4j7Z1dSI4JhbubCyKDvFFRVaO04eOru/LMFdn/2RqVZx7bI8+/T25LZXwoIgSEgBAQAkLArgiIBVqP5W7t6MZNv3tYj5rmqVJA0TBiIsLgR0rbyX4yExtZYvxJaR7sRN6RCiO3rFtzza2d4A1tKjlWVEaKq6uSrTCMInWwf3Y3+Q+zYryccHZDlYxqsD6zQp5GirXj9CRaWlooBvc06tqXdivKP5YLN7J6H2muVTWLelLgU9Zkoa55vvI+W2Cpg2nzbMxcqvvlzo9RrO8Hn3kXG9YmwYUem4sIASEgBISAELAXAvKvnh4rPTFhPKVGsZg6Oy2Z8jsnIxHZ9Pro02OKn/WEBgVv4RQCfTzQ096CkuJOnHb66ajomx/uLtwbZDueRvOA7psbOFxdSf5hs0XcWDg31efgAN95yrPq/MjojOtKU1snXKaGyTq9tKKrqqP+3lhTjZjwaNS3dM6eTon0R+6RI7OftTkYXeCbzU8HPF2mkZUchZ6BEaV9di1JS4ikTSbkvzc2gVK1TZHZ6XFobG5HRe2cP7U2/Zq7DFvHf/O3p3HGhgwE0U3L9k1rzD0E6U8ICAEhIASEgNkJiAKtB3JHRweEhwSgpb1bj9rzq2SmxOHBO27A8+98jIeffXf+RfrUPzSMH371MnzzSxegsKwaf338VY2KI1fkhBdR5DZQ39SGfoqWwNJaXw34ZSjHXqTARboP48jBQ3AipT0xLgZ+IRGYJv9f2m6F/il3dAwCbvStGKK9eYm+E5iYdkRdvyMSAx0w1NWC7qY+iyvPPBlfb89lN266ujhjuFf3TIWdXd3gV0Z6Cnx8fRWf5WO5xtkkmZ9fpKwDbyw54/TTUFrTjPwTM1b8nDXJyjW+oYoMDUADrWFHt/XtKlcGueB/+3NLwC9PDzf8996f0fgDF5SQj0JACAgBISAEVhcBqw9jx7hramqMSp2jcERFRaGurk7vdoeGRxUf6Dd3HlixjfVrkuBP7hT+vl749Ggx/vcbl1M831a0d/fikrM2IYeuD5Kl9Aj5VbPlcuf+PKVcakIUfvvjayl8WNS8Pnr7B3HLvf9BQUnVvPP8ISrQC3ULstQFB/rTJrtxpY/JJTbacV1XsojGRkeSC8QkgsMoZFlXO9woLFR33zDYomsN4kI7/XhTHbsMFJXVLDkkztg3PdqPsQWW4CUrmPEC34B5BYYpGx9V3fKc+MGGP4WtKyxdvK6qctb+fv9vvofN66wjtB2HNPPz81Pcbqydm7HHZ68RGThsIa97e/uca5ex2Vpre/a65r5k6HBxcUFnp3X8G6X+/YiPj1f/KMerjIBYoPVcULa2bd+UiZUU6PioUPz5V9+Fl8eMG8XPv/slcBzqheJF1uNztqxTTl905kZFkWYlPcCP/C0WiB+FNvvBtZcq1ujKupnEGunkCuBMm9sKjy/e1NXRpV1MVFY2K6pm/HY9yZe4sa0LSfExVqM8M4aUuEgUl6984xMVHoSqcuuM/xsRFoy+BdH32BWCLdN15OphqxIdHow1lClRRAgIASEgBITAaicgCrQBK8yW4OXEg8KrbclJn1Weuawm5VlTG7wJjV9LCUWyRipFe/B2d8I4Kb7FpeXK5rmlyut63pWiSAwMDqOg+CSyMpJo3E4UDaIVQyO6u0Us1zffiKSShZ19hNllISTQD/kaLOvcRnCgr1bKM5fVJhQdl7OEsG9zalIsajtmYkmrxsAMbFl4/KobRVueh4xdCAgBISAEhMBKBESBXonQMtcvOmsj/vToS4uUtTUpsfjWly7EVlKe+XG9sWVoeAQ/veMBRcE1dtvcHvsPF5fXzzZdVFKpHPuRC0p2ejwKSmtmrxlywBskOQlM3omZ9rmtRoqswZZMTbG1eVzaCkeIYPbqETa0rWuOcicr6xAZG4/O3uVvwswxFmP1wWv383v+g+9ccwEyksQSbSyu0o4QEAJCQAhYH4HFvgTWN0arHRGHN/vJN6+YNz62oF569mbFvcOZNuppa3Ge18gKHzzc3Sjxh/EVc1W3UREh5J+7OA1wb98g8ihUHG/gM1RiIoLBWRwLS6vnNcVWzCk1S6wLMYwjN5h1pLiHEltthcfq6emhbXGLlAvypmyIJlxHS0zqQF4pnn1rryW6nu1zktLZd5HfvogQEAJCQAgIAVMR0N6kZ6oR2Hi7l1+wTYk9/M+n36Z4uMm4/abrTKI0q2NiX9kffeNK/Omfz6qfNtqxv58v0KR5Q4ZyU3BK6YugSCTBAT4orW7CuAaFe6kBRVCUBrZWsqKjSXy9PBBA0UmcnR3RSW4dvOFSF0mmxDZDfT2ordc8B13aMmXZohPlyMleq2Q/NGU/5m6bMzCaS/qHx3DwRKPyig71xdr4EOzIrca+onpctDkJt337QnMNRfoRAkJACAgBOyIgCrSBi81W6MvOPY0spAkURs6DdgObFmlPbz/e+PBTUj4nDRy55uqetNlxOWWYr0WE+CEuMpgUVArD1thM4fCi0NrVh5HR8dksgEul1c5Zk6hYnZdSnnlUJZVz7iOaR7n82Y6WZrR3Gh5icPlejHN13ETraJzR6dcKJ7MxlQyQwjxE37MginX+xIeFeOdgBUYpjbsipEi/hJLZro+WNaG9ZxBudIafbExSwhzeaCsiBISAEBACQsBQAqbV9gwdnQ3VjyG3B3PIjn1H8NB/XzNZV3GxFOWiYnkF9viCMGtVtY1YvzYNxaT4rkmOVhKDFJTWKumsAyh8X/OpeNmc8ryUyiynPBs6sazUWBw7VmBoMyavn54SD3dP71VnfWZwz7z5MTatTTFJOLtXPinFix+XwI3CGc4qzkusVu/gKH73xE6clx2DT4rq0NY9hJuu3ISKxm7l6cbFmxJNskdhieHIaSEgBISAEFhFBCQOtI0tJlvSrv/JnSijTWjGlpjIUDS0aRfyTlPf6pv2YqPCMEibHTu7epGVnsThR9DS0aO4ZGiqa+g5fwrt5+XphtqqKsXaaGh7pqzvS2MdcfBQwtaZsh9Lts3uPRfTJtvQID988bwtRhnKx/m1+OsrhzGxhOuPrp2sTw7DXd85R9dqNlHeXmMCSxxo3TKv2sSXeYVBShzoFQDJZZMRkOeZJkNrmobZ//nCszabpHFfXx+D2lWPeMHJXFh5ZikqrUQXZfeLptjMphAf8pke7e9GTWWl1SvPPP/oyLBVrTzzHPmpwxOv7sRL731KkVA0+7pzOV0kIcLfaMoz9xvka92bTHVhI2WFgBAQAkLAvAREgTYvb4N72/HJETzy9JsGt6OpAVNEDFH109jSgdq6JpMojv0Ur9rNhH63qjkY4z0owA9tfWPGaMom2qimDaC/f/AF1Da26TTelq4BlNR14HhNOwZHxrHrWA2e33NCpzZWKswRXjopWgc/1RkZo7T1ZNnmfkWEgBAQAkJACKxEQHygVyJkJddrG1vwwOMvY9/hQpONiKNCBAQGoqfPNEpEYIAvBke7FsXNNsaEnDx94EcJZXr7TTN2Y4yR2ximRDTenhTlxI5kx/58XLh9vRKOUJtpHy1rxu+f/hTjp1w1OOiLWmRDbZrQqsz7hyux81g1Qvw8KejMAPy83OBCmwyf+uUXTHKjp9WgpJAQEAJCQAjYBAGxQNvEMgH7DhWaVHkO9PfFhqx0kynPjNnL09MkyjO33dndj3End2zamE3xn2fSpvN5axNOghMb6m9twzL5eDj9Olt6V5I2iprxt1cPzyrPXF6Lais1u+T18YkpRXnmArzpMCzQS5TnJWnJBSEgBISAEFAREAu0ioSVvxsjecnCKQYH+sOJLG6RYRSSrqkDeUuk0F5YT9/PfeRqYUrh9N0FZXVIT05GUeFxU3ZlUNvlldXITExAcXWLQe3YUuUnX9ulZIVkP3hfH0+cuSlz3vDZheKht47hAIWi41B15hZXcuf45kVZOD0z2txdS39CQAgIASFggwREgbbiReNwb7mU+e/gsWIczjOu/2dcdDhc3dxQUdtM4b3M4/bgT4pTrRl4c2xua5ZecpE5ll+EbAr9V1rfZc1DNerYnnpjt9LemZvWLFKg3V2dkVfeYhHlmQe1bU0UrtyeZtT5SmNCQAgIASGwegmIAm1Fazs2Po53dnyG3ftzlWyGpRW1JnOpqG1oQVS4eWJXmxOxh7srSkvLzNmlXn1FU8jAKQf7/PPbn1uCPz/2GvoGhnDJ2Rtx+oYMlNc0IcDbFR0WSsFd19an1zpKJSEgBISAELBPAvb5L7iVrvWr736M+x57yWyja2xpR87aVBSU1pilz5KTNXCieNBT5NSqjT+sPoMaHhlD9po0DA4MoqqmDqOj5ncHUI07NSkWvr5+NF8Kg00b4UZHR+Di6o4RyuZY19KN9jrdIlOo2rX1d17/N3YeVKax+2Ahvn7FuXjtwwPI3LjVYlNbKnOmxQYkHQsBISAEhIBVExAF2gqWZ3BohELTvYFj5K5hbunp6YM3xVEeMLF/Ms9rZHQUfr5eGBwaRVx0BGp0DG2mLRv2g2YJCYuEw/gQGpvNr6jmZKVRGDZyz+gwrd+3tkysudzTb+xRhnf4048RlbkV/cPjZh9ufXs/Kpq6kRwZYPa+pUMhIASEgBCwPQIShUOLNXt/92eob2rVoqR+RZxpA9Peg3kor27QrwEDatWQK0dybLgBLehWtbdvEBMTExgeHkJWahxM6a/cTolcIiMijBpVgW82OJnNcrJpfRZO1HYuV0SuLUEgxNdyEVQOFDegZ8D+MrktsRRyWggIASEgBJYhIAr0MnD40js79uG39zyE7l7T+Eh2dPXgof++hpY2y20myyPL97q0uBVIGPdyZ1cfxsiVwdSPzvNP1iE7O8tog3dxmsZaYpWTmYSI0CCsy0jE+rUpCA70U+tjekUlW62wHBKB7Ox18E/ehOq2fovxeG73Cfz4gQ8t1r90LASEgBAQArZDQBToZdbqtff24PY/P6qUCAky/qPdV9/7GFd+59d4/o2dy4zCPJeKSiqQnRZvls7WJkUg1MeRYkJPmKW/4op6xCQk4vStm+Dq6qJzn+sykpCzJgkerg6UnrwHBcdLcaygGI1NjcgvOoFciqjR1taKmIhA8r9OxiT5PItoRyCJwvmlbzoLoy7+Spg7U8Z81mZEAT6S3lsbTlJGCAgB0xL44he/iISEBCQmJmLt2rW466676DdyarbT6667DikpKejqmjO+8fE111yDkJAQbNq0Cffcc89s+RdeeAFr1qxBaGgorr32WhQWzk/KNjg4qPTHfSYlJSn133rrLaW+aix8TfXas2cPdu/ePfuZ65xxxhm47777ZvssKirCeeedh6CgIFx55ZV4//33lWu7du2aradq7/LLL8fIyIhy/vbbb59t48wzz8QzzzyDu+++e1EdnqMlRXygl6H/4htz1ii20kacF7xMad0vbd2QiYiwINTUWz4e8BTtdKujbIdpidEoqzK+K4mrixPS4sIw0N+LY3n5p2DVIWvDFpRTKD1TS0t7N/iVnZWJo7mq/lfudX1msrIZUZsnELX1TWhqaYNHYNTKDUuJGQLkDdNDCUyGRs1zM7US9ivPSF2piFwXAkJACJicQGNjIzIzM/GDH/wABw8exG9+8xuwMsmvuro6sELs7OyM//73v/jZz36mjOevf/0r8vPz8dJLL+HkyZP44Q9/iHPOOUdRwL/xjW/gF7/4BS6++GLccsstyvEHH3wwOw9WzmtqavDLX/4SW7ZswZNPPqko2p2dnVCN5YYbbpgtz0r94cOHlTrPPvssbZj3VRTq//u//8OFF16I6OhonH/++cjKylLaevPNN8GKeHFxMYaGhpR6zz33HPz8Zp7e+vv7K8EFeAx8s8A3AtxHQ0MD+vv7FQU8Ozsb3NeOHTuUNl1dXWfHY4kDsUAvQb2ypgEV9FLJHWSJ/mjvTOQA1TlD3zmM3AsP/Q7XX32xoU0ZpX4XbSh0NtE3IszXGbnH8lBWXjVvrKZ24ZjXGX2YnFh5gxr7pHtRNkO2POcVFevkvpOcEEeW9TkrwcL+5fN8ApWUVCbC33qsvtsy5eZn/grJJyEgBCxFIC4uDl/4whfw05/+VBlCWdlMoIEnnnhCscaycv2vf/1rdnhszW1paVEUTLYGV1dXK0qou7s7Img/0N69e1FfX68o348//vhsPfWDDRs24IorrsDXvvY1RdFlBZbFy8sLUVFRs6/g4DmDIluZL7vsMkVx5rK8T+i1116jJ7NtePDBB5U5PPzww4qCzXNSSXh4+Gx7PHaVsDLOyrp6tK709HRceumlSKZEaR4eHsoxK+iWFBOpS5ackmn6nqS7s4effIU2+tUrHbDvMic6OVZYin8//yYKS8qVa+2d3ToNgNsoOVmF9KRocgEIQUxkCMJDA3Vqw5iFOT50WLC/0Zr0pU13sUFuqKyu09imI4W1M6c4cDy5ZcSJkrBkpsRhYmyE3DOKFbeCZYovusQbJEW0J5CVtRbNPdYTqaSla0BJ7c1pvUWEgBAQApYk8Prrr2Pbtm2K6wW7QbD1mC3FrECzgstW5dLSUnzyySfKML/+9a8riucjjzyiWH6vuuoqxcWDLdVPPfWUotiy+0ZqairY+qtJbrvtNsV94/rrr8fWrVsVdw4u9+qrryqWabZO82uUomqpJD4+Hi4uLmC3kjvvvFMZL1uSfXx8wIovC19n67mbm5uqmjIfVXusaKvkD3/4g2J1Z+u6NYuzKQfHZvd3330XPT09iIyMVO4YeCELCgpw4MABBSib9Nlfx9qEYyQvFHZx+L/b/wZWwfh6WEgg+cT2ztsIFx4ShIzUBHi4u+Gn3/8qggLmNpfxF3+hwvjhxwdxKK9Y6YrruLg4w9/XRymn7u+0cCym+txPyS2SE6LR2tFjlC7iI/xw9FjBkm2dyD+CuLgYhEVEo6m9DxHB3hifdIArJRPsaGtBcFgECk7OPQlYsiEtL0zRDctykhIfRVZn/bM+ent7AybacLrcuG31mpdfAKWRH7Ka4f/lpcOobumBl7sLvn3xOly6JdlqxiYDEQJCwL4IsI8zK6Xs3nDuuecqutJHH32E2tpaRbdi1w7WKdgKfdZZZykuFawgswLKSjUrweyT/Ktf/QodHR1g3+Pm5mbce++9yrnvfe97CAiYv79r+/btiuLMvtLsiqGKOsXW7n/+858aF2Dnzp14/vnn8eKLL+KCCy5QyrB1mXVAtoKzdZkVbvZlZl9olbB1W13/Gx6eMaawr/bPf/5z3HzzzfOs0Kp61vJuUgWaHcz5C7Bx40awM3peXp5yV8SO5D/5yU+UxwN8J8WgrE2aWzs0DqlJTbFubZ9z3lcVbmnvJF/bmRBmHP7umi+cBx9vL7y3az82Za/BHT//vqqokmXwngefmv08PDIKfvX1DyIzNRHNpMT29Jo/KkFe0Uk4u7krFvbZwelxkBwTuqzyzE3yI5oaSnjCL1e6Q62vmO9i0dzSinXrclBYbrgSHUw3M9PLuHDEUHbAwaEBPWY6V2Vs2qR/UnMdrZKj0SnrSrvOyjPL4Mg43jpQIQr0KvmeyTSEgC0SYB/g739/TmfgObDrBZ9nxZqFFdCXX34Zf//73/HGG28or1deeUVRuicnJ2nj/IyfMFus2ff5m9/8pnKOn7byizcDsrLLPsssrDSz//FC6e7uVqzdqvNhYWGqQ8Wtgvs/duwYvvzlLysbFNn1hHW7W2+9Ven3P//5Dx577LFZNw+uXF5eDvaxZuGxqMbAn7ke+3mzAq7uysHXrEVM+q89O68rFjmaLZvv2RLNd06xsbGKDwv7sbAz+djY2Owij1M6a/XH4Hx3pboDMhY0VXuqd03trhDqV1OVRed40V96a+fs+Q/3HMAXLzoLG9dlKOc4tvTIEpnyismtg8cXFx1OVmx/UrYHMTk1CRey4FfVNdEXarZZkxz4enuS76/+yqQL+RGXlsxY1rUdIKcyXyj8/cg/dgSOTs7IzllPGvcUenu64eoVgJOU/llbiY8OhbvDBPIKi5CTlUEuN9Xzqgb4+WBsdBjNrYufPMwruMwHXq+uvsXW1JSYIDhNjcOZfsimpx1Q3thFIfwml2nJfi6t4FFjURButPF1ud8Iiw5uhc553LY69hWmtuJle527Pc+bvxT28H1nKzJvxnvggQeUzYU8bz7HmwbZRYMV1srKSrAVmSNasMsEb+pja/Lf/vY3Rcm+4447lI17Dz30kLLxj6+zJ8BKhky2MPNLJf/4xz8Uy7LqMyvAT9LGw5ycHPz2t79V+mK3D74B4I1/7MrBriUxMTHKRkeux37aKmEXFfbPVgnrh2zxZr9naxUHUvJMrIrN3GXwHRE7wrMLx5/+9Cd85StfUXxzeEF4d6nKIf29996bDXXC0Dg0isqB3pwQr//xr/Hujhm/ImP2+9wjf0JifAwKik/ihlvmh6XRtp+E2Cj0U/bCrm7TxKbmcSQlxpGi3qztkBaVC/TzRl9nE90gmca/NZTuuiMTUlFaOfcHt2gQp04kxFCimNEBlJ4sny0SFxs3LzmOn683RocHMDRsWCKNWMqwGEw/BCNTLqhu6sCGtGgcPZqLUbpJVEkgWcJTk5PQ0T+OxnbjuMqo2ra19zPPuwgF1Zqf9lh6Lr/95gW47qINlh6G9C8EhIAQ0IkAK8+s2rESulDYkrzQbWNhGWN/7u3tnY22Yey2LdmeyRXoEydO4J133lHuQtiPh4V3iX722WfKXRG7dXCoFbZQLyXsjG5M4Tsl3k3KoWAWCm8SZOX2Lw8/jXFK9GFs4QgPbuQeMTQ854CvTx85mamYoj+Q42U1+lRfso6TkyOyMlJQUDrfQrtkhWUupET5objk5DIlDLvE/uIbNp1GVt9h1LfMPAZKS4iAO51v6epHAKUNd3N2wJEjRxc9AtqQvRb5xRXKABLjItFJd/HahKrTdsS8zp704zVAsTU5RKC6ZGUkY4Ks7axUBwaHo7FzwO4y4AXSU5VY2o095OSLlu7FVnt1XpY6/vVXT8eZWTGW6t6gfnnXPf8jam/CTzxZaWhv1/9Jkq0ys9c154gNrD+oXAGsaf3iaXOdyOolYFIXDt4dyvH6brzxRnh6eioU+UedA3jz7lB+PM9xBJdTns2N/vFnX8fOTw6brNuYyHDUNLQa3H4+Kfksa2jDYmllg3KcQzGLWTEbGRunEHzLuzc4kWtMDvlk9w+NwdvDRbEUs8JZ29RuFOWZB+TpMbPmyuBM8D++wTl04DPlu7WGHg9NkXtHQe5hRVnemJNF/lhHl+z1WMFxxMdEISgwANW19UZVnrnTiYlJ8mVf7AKTkRyPouKZUERcrupUqMS1a9LQNjituHaM2oF7R+qatTjRzE8nrFN55rXx9pjxHeRjESEgBISAEBAC6gRMqkCz2wb7M7O/DgvHF2QHdTbn8+ZBVqCvvvpq9fFY9Di3sMSkyjNPzp98bWEEBVoFqqG5jZzvHeFG/rXFpZWKVTMpfmYzgKqM+nsYpZ+OiY5SrNf5ZbXql+i4A6FBfvCmGMgD5CJiqJys78DmDTk4cizf0KaWrc/fI968MF/mW33nX5v5VFPfSElsGjVdMsk5jvtdUzdzs7Owg+Mn5pTqlDXr0EARSVar8E1LK90sWLMkhPtjffLcJhlrHquMTQgIASGgC4G3334bhw4dUkLOcT2O7HH//fcr+9E4nBz7K/PetJtuugklJSX43Oc+B/adFplPwKQKNDuSaxLe4am+cVBTGXOf43jMf37oaZN26+7miq4e40bVGKGoHbFRkfDz8cSxolJl/Bz+LiUhStmgGEC+vbS9AqNkmebkIC29o8grrVlynm2dvWD/ZS8vT2iKMrJkRQ0XhkfHlZi6wZQGvUPH+NgamtPplCncb3QagIbCocShsWnlrJN+7o7QrGZraNTGTiVQohnngBi0WlHsZ00IRXnWREXOCQEhYA4Ce6sn8WGFYS6kUb6O+PGWxa6xHMKON/Nx4hMWDjXH+9DYW4CDPPCmPw6Bx5sOMzIylEQoHA6Pr6tC1JmDgS30YVIFejkAqtAqy5Ux57XX39+D8qrFPtHGHANH3Ojt60NWeqKinLZ1Gr6BbIzcGDo6u2hD3NyGv2qK0sHCCjunl1aXKHIhyUmLxYmqJnIX0PwH2kXRNzzcXZV40BXVmlU5tlLHx0aioalNCcen3of6cXt3P8ICg5FAofyqazW3pV7eWMcTk5rnZqz29WmHk/FoI4VFxQiLS0FHr/W6N2gzj4VlHCkyhH9EAipbjHsTubAfY3yOD5+L326M9qQNISAEhIC2BJoHppHbaFikpr4Rfsq3WIHmaBccgYNzdLCwq+369euVsHe8T409BNjAuW/fPiXsHLvYstGTw92JAq0gm/2fxRTo2RFYycE7H+0zy0g4rjP7xgac2lBpjE57NfjacruaQuSxBZRfOVlrUFyztC/28MgYqho7kJwUB84m2NrWQQljphAZEaq4ivhS8HVWwl1pw96a1HicOFkzOxVOMBNF5aYoBmVJeS1au/oQGx5otuQwOWszaHNl1ex4rOWgsXlp3upj5HB+3o6jGCC2I0vc5KiXt4VjZwpDuHHbGShpsn7lmXmGB3rZAlYZoxAQAquQgJ8bcEGykzIzjpO2s1I7ZXptmCMifDjVG+3hcJ15Vz6o/e873/kOOPGJSjiZSWBgoOqjokhzaDz18xy1g8+JzCcgCvQpHt4U99hcwlEZWHDGZr8AAEAASURBVPG0pORTtr3ElDSKXrH8H0VV/Xylr723Bl60ObClfSZlOVuxS2taaENeBBqa25FM/tftZMHOP+UmkkBh3Xy93CmySTk2rl+nJFYxZeTEBAoRWFxeTTGztbP2mmsNyPiqU5zSdnqq4OgZDCwOjW2uIRu1n42nnUbK8+JNlUbtxMDG0qID4Uz7CfhGsbimHewHXVrXgahgX0QEsSuUiBAQAkLA9AR6yXq8o1z3p6jHWyZx/JSXYErwjAK+0mj9/PwwMDD328zZADmssOo8R3cZpGhSHEtaZD4By2px88di0U/+iq+weYbgTf7FbUZKlW3IiPu720kZ9lCiV7DFWVsZ1BCCr66VFGpHZ5ysm+/jW00bJtmVxM3VBQXlzQiPSURbg+kU3EB/P9oYOH8M2s7LlOXWr03DsYITWnfBm2/dSZlbDbL1jO2nIm5Yz2wyYoPgTFlchijj4Bjd0I6NTaCxo1eJSsOjLK1rx5MfzKSgZ0X6N1/bjugQX+uZgIxECAiB1UtgehLTk9r/m6wJxPQkq3fumi7NO5eZmYnbbrtNiV7VRy6mvIeKXWzZrYM3GrKv9IEDB5CdnT2vnnwARIE+9S3w9TGfhSmOrLInyLXB0tLe0UV/KC7IzCBLdHsvevuHFCtpRnwoKho6Z32kvTzcoElp1nb846wMUlxkls6eAcpUlI3cY3naVtepXP+AdfgNs8V5fWaaEhWFN3rqojzzhAcGhzDluTrMz9MO2llCdFpoAwpHkjW5hBTkabX43B5uzhge1Wzx4fTeNz3wATanR1Jc6FgU17bj3Ow4hAZ4wcPNBe6u8jNqwHJIVSEgBBYQmCYldmrSsN9/bR/CckpuTgv++c9/Hm1tbUqiOx7OzTffjJ/85CdKNkAOQ3znnXcuGKV8lF/+U98BPx/z+TzyHZ61yBjFjM6jmMhhIUEIDfSjMHa+yKOwc9mk5J44FV86JTYM+WX6b7CkpMIIobZVym1heSPSUhJRVm5cP+VAf19wIhxLSwhF24gKC8axQu0tzgvHzHGkE4MpGQZc0dY1iGFaJxHjEOC45+rKM7e6lPKs6nGYLNSfFNYpLz737sFyjE9M0Q0ncNEmypZ69RZVUXkXAkJACBhIgByfDU0SvUz9888/H/xSyY9+9COwbzRninakHBEs0dHR4FTc7NKhKaOhqq49v4sCfWr1wyk+srmkvLoOsZFhqKMIFtYire2dpAx0obGWd+4CU+MjpAQGobG1U4nXnRJJmwgGxtHdN+crpe3YJ2gzIbt4bMjOIEtsiWLl9vbx07a61uX6yPrs5uaGUYp2YgnxpZuw+Khw2mRZQZnQlvct12Z87KfO4uXpAXd/CkuoYUMh+5N7UcIPdkWwNuGNg+EZm1HeOmjWoUXQBsBmuulYKBlx9DdOvEpqDV8bVp5Z+N8osUAvJC2fhYAQMIgA/zNMicEMEh3rLxUZTZTnpVdBFOhTbD5/wVlK1Ap/Xx+EBAfgpTd3YMcnh5YmZ8AVti7yZiVrE/XNfZXVtaQ4j2DTxmzakOeAvLx8bNy4Xi8FmufJaceLTtYigBLJdFMkkuLKZoSS1buNFHdjCfsNc0Y/TsVubmG/9mCygBeeMH7fg0PDSE/zxImGPqTFBMKJfHcb6moxTlZpH1Laa+trKaRgFCnaniivrEFiQgxl93TFyLSrRROyeJDrz8DwuLL25loP9m0+UdOGqBA/JQa5er9Dw2OoIXcMY8veglocPdmMX331DCTRjaaIEBACQsAQAtOk/E4bGop1yvp0DEOYWGNdUaBPrQpn8/vy5RfOrtGGrHSEPRqIZ159f/acMQ/YL5gz0zW2tBuzWaO1xcozy9HcmY1UfNzYUA8X8mUepxsAfYST1fj5B8GbwuLVk/U9LjbGqAq0MiYLucekJsbo7OesC8PcvEIkURKS/AUZF7t6epVmaurmMiqWnpxxjXFyckJCWiZaOvvpJmjmyYIufRpatn9gEJlrvFDfoftTC0P7buroQ4i/J8KD/FHe0IHIQE9UNtFGVxNI98AI+NXVNywKtAn4SpNCwN4IzPhAa96ToS2LqUnr2nui7bhtqZzcoiyzWj/7wXW48pJzlimh/6W6xhZM0iaB4ADjuzLoP6rlawaHReitPKtarqNQd5yZkKW2pZfiRRs3XXL+8RLkZKaqujPLe2ZqAmpq5xRYU3XKTwV0kUlynaktP4Gh9lpEUwCJtBjyc/c3n68/j9XPeQxhnuZT3jlZCws/TWnrHkRZbQu83Z1MpjwrnZ3639M7CmejeKifl2MhIASEgG4E6DeTXTAMfenWqZTWkYBYoFcA9uuffJsc6N3x/OsfKv8or1Bcp8vNrR1IS45DR/eMFVGnyhYo3FRfhzVJlDTl1OZCfYeg2kTZQ1E/OKNheGgwWihRi7Gkj1KTmlKSyUWik+I0u5zacME+z9YqqpTm7NoB1JBrh7PiOhNIgfF7x5zQ3rPYV9gYc4mLCIQPKa6HPv4QwxSFhDeN+ofFoG7IHePkEmRsiQ31ha+nK9jyrC6j45M0R/NEZmlo77O6+OPqLORYCAgBGyFABgB1l0p9Rm0+s4U+o1sddcQCvcI68o7U//fDr+Hff7sVHH7O2EJGQpuRLlL0XZwMV36KyuuRGBelzHuAXEWCg+ayIBkKY2NOJhpWSA5jaB+u5O7T3dNHsby7jKr4GzoubeqzQt3Y1Iqi4lKMdDcjwMdDm2orlokND0Ak+R2vSwpHYpg3aiorFZcWVp5ZOOLKoU/3Itq5a8W2dC0Q4udJm1R7UFTVik5yo7CU8GZC9oUWEQJCQAgYQmDGB3qc/KANeRnmAmLI+O2lrligtVzpbHILeP6RP4JTcbNSnVtYgt/c/ZCWtZcu5kb/6HKUBd4oZgvC6T1DAnzR3j3f0qfL2Dm6B/tB56TGUAakXpRX1ehSfcmygYHk71rdQEkxTBuRwulUTOslB2IjF/gGYGNMNEZJqQ4h1w4HB0ey1g5QzO8xnWbASvPRvCKlTs0KNQf7aBOfu3Ej3oT4e5C7hmmfOqwwLeVyV/8I/vLiAXSQxfuizYnw83JTotiE0abksqp6BNEm00j67osIASEgBJYlQIlUYGAcaEy5LNuFXDScgCjQOjB0o+w8HC+ZZcv6tZSO24WSjRimrPEjdVtRnnneLeR2EhZtWNIZDo3XSBnCM5OicKK0nJvVW1KTEuDm7ga2rJZV6uYjrG+nvDlvtQhvTmRxGg5EZ/+MtdiH0tqnJidR7nFgkFK8tvWPY2Bo5lqQnxeltfYh37xJODjOcCgoKtEah2dILGBEXZddN2pNEFlD6wlpKPjkhwXYk1+DjeHAE698NLvx1t/XCzd8/YvKDZ4HfWed6Ubs/DPWz8Zd1dCUnBICQsAeCbALNMfINEQMrW9I33ZSVxRoPReaw7JFR4aiysDNYxVVdQgPCUBLu2kiBOg5vWWrdbbUw9k7kDZBGhan8kRVEzZu2oTco0eX7W+pi+7uHgiLisGRo7lmjf1s6LyXmo8lz3d0dcPNy09R7jjhTW5+0exw+MYxISYCfONwgiJ8NNfPXtLpIDI8FDX9hv/kxJHSzFEgORRkY0c/hcrTzWKu06D1LBwb6oeJyZm/aVXUmp6+Qdz1z+fntfhZbjHu+On1887JByEgBOydwKlNhIZg0DEOtCFd2Wtd8YHWc+WDKHrGg3f9Av+8+xZ88aKzlc1Z+jSVnBBrU8ozzzGSImcYQ4nkO+zSuk6ctu0M5KzP0RlfVGQEjpyoRVxyht78teqUxpmzJgUbKbRhCIVFO6lsyNOqps0UmqIwdylxERrHOzo2plj3WXk2RGISk6m6/j70rDCnRPlTLOduJapGWX2nVSrPzOjT43XoGVl5g8OHn+SSy8xMyEhD2EpdISAEVg8BVRi7KYoFrfdrauXfn9VDzDIzEQXaAO7szrF1YxZu/3/fw03f+bLOLfEj3IzUeGzbuBbubq4617dUhbr6JmST/7IxZJLiNheWN6CsoQenbdmCpMRErZsNDAlRytY2tSNnw0at6+lUkJTntJR45B8vRW5BMaU6DzCrtVunsRpQmLMotrYbP8mIakiOlPxl1FH3EHpBtMeRX7E+E0gLmsZJUpptQehrg0O1o9h69nkrDvfam+4yuxJt8OPhFWclBYSAENCXAP99TpMCbOhL3/6lnnYEDH+eql0/q75UTCQ5POogHKv4tz/7DhIogxwLJ534/s330CY4PZ+P69C3MYr2dHcjITpM2SQ1piHFtK598A9GYWULIsidZdPmzXBydsHkxDiKjx/H8LDmDZaOp3xwua+ymhZ4eXlhcNB4YdkSYiOVMHtFJ+b8tK05ZJ2uzFXlYym6jB9l4CyuaFDSrKvOG/OdLdzuYD9qT62bdXeaRnXu7nmbQjnjonPEGnRr/kpo3bY5CnIIvemJGd/x5fpr7+rFHx54Fuduy8YF2zeYxCf6gSffwLr0BPhQxsz7n3gNfnTD9KdbvksbmN2XG5pcEwJCwCIEOIydYS6ScpNs+oUTBdpIjDfnrMEFZ2/Bjr2HtGrxn/f8cpHVubff/BnbtBqshkLt7R3Y9fLv0Ef+spd97w5wenJjSDP5glOulVlJWbMOVaXHFynGmWsyUFA+l7xklCJvZKWnUebEY7N1DT3wdHeHuvJsaHvWWj8oMACFZbUmU55V8+5ubQC8tE9yE+HYiYYFEVU446InpX9P2XAGGvqt/wFax6h2P7F7DxWCX3FRYUhPMs7THRX3+/79Gl56dy+ef2uP6pTy/tfHX8Ft//u1eefkgxAQAlZAgB9hGahAA4Yp4FZAweqHYP3/Alk9wpkB8q76e35zE2792Xe1GnFn1/zH5T7eXvjnXTfjks9tU+rzI29rFlfXmRA573181GjKs6b5llMmuWnPEGRt3IK1azPBGwdDgoPRPkQ/MAuknjaUhVJSFlYI2T1GXTgZTnxcrPIKDQmGj4/3igqju5t9hAGaNsAvWZ3xSscVVbVI8tQu/GGszyTKT5ZpbHKIfIaLD32MCMOCwWhs29gnR8cmkZ6erlWzDpRFkUPeGVPuuP9pRXnW1Ob7Hx/BK+/tQ31TGwYGbcCkr2kSck4IrEICZH9WLNBKPGhSpPV5p0qLyPzjH//A1q1bZ19f+MIXlDJ33303tm3bpryuvPLKRfXkhGYC2plHNNeVsxoIXHLe6SitqEFRSQU2rEvHWVs3oLO7B/c9+hw61JRmDrkWFRE6rwV2Gfjljdcr6cPDQgJRXFaFXfuOYNen+kWpmNe4ET+wcnobuZ+wfI4eO5fXNGLXgXyMjpkmcDtHPGFFmsU/IgFxlLSjgPymFwpHOQBmfMnd/L0RTmHD+BF1PykHPf2DaO6boEgStBEtPgV9gyOIcxrD8ePFC5uZ/cyKmq1LoL8fevr6ocr+yPG3VcrSOnIj4myKtc3m8Svm1OKHPvsMiVsuRt8yng3ODtM4fnAPhYhc+vvETzwc+ug74Bht1UvUTxFCPPwj6Iaugm40l54PT8KVQlq+s/sgLjt3CwL9KVSggXL3Qy/gw0+W/+1gKzTLF8/filt++GWTuI8YOA2pLgTsjwBnWDMwRC794CzidsMNN+D73/++cv73v/89/Pz8lON3330X77zzDry9VzYsLWrUjk+IAm3kxeeQX7+86ZuLWj3/rC246df34nDejMJ2JP8EPrd986JynFRlQ1aacj4qPATplOrb2hTorRvWYtumLGWMoUF+uPXGa/Gj6y5DbWMb/kqPi6sbKMiziYQVYX6tJBP0A8TJXtQTvvBGzUA/b1Q3tlOIsZnHWxwBhI39bIUdGp2Apwv5YucXID0jAw4ulOxlgx/yj+Wt1J1VXvclK7uLmxv8/Z0QERqErl7KnkguMpnpqRgaGUFhSRU25axFNyUHMqeMTbBlRPMTFhd6Jhbr2ouWZZRn1ViPUzbFzG0xaB5YbGlRlbGG9zZKrBIZFYm62rplh8NuSA89/TZ27c/DNZedhbW0wZhdOvSRNz7aj7d2HtC66ju7D+EHX72MFHdfretIQSEgBExDwNPNEVmxMzfRtH0Ex+t6teooJtgTAV4zT07D/Bbvb+BQpPzKz8/HgQMHsHPnTsW40tXVBVai2dDy5S9/Wau+pBCFUhUI5iHgTF9atkarFOhCtY1py43Az9cbn79gO97Z8elyxcx2LTjQD3f96keL+gum7IT8euov/w/HT9bilnufUPyjFxW04AneONXWPUTK8pwcr2ye+3DqyNk/GmWN/IM186OVufF0eLk7o6woH7192rkgLGrUAic8aVNlS9uMdbmLUo+rpNjAcHSqdvR9D/OcRO0S8aBjvMZwaN/BFZtOTUlCQOJ6tE0HYl20AxzZ34+eVAwNDZGbjxut0wBqKb23tQi7Z2grZVUNuPMfzynFI0IDsTUnA9/9yiU6WaWfePkDbbtTyn3vK5eK8qwTMSksBExHYGJyGl0DM4/pZjYDaufPPDgyprh78Mi83Oa7MaqP9p577sEtt9yiPHFqbm5GCEW04tdx2rR/2WWXYffu3erF5XgJAqJALwHGFKd5k+GD/3kRI6NjqKFQcPyHsdI/rH5kRfzSpedYhQLNftm//cm34En+xEsJ3yjkZCTixb/fgtvufwZHiuYiWCxVx1zn/cn63D88vqKrCYfWUxe2WLO4+EZiTXImxsh9gNcu2NcDUxNjyD1yeNZFQr2epY+1ibDAbhXmlpHOesQGxWJq2gGNgw7Eck65HGhfPgrN5tM2YzQwA90THhg+NfSKLp6BajsHWW2Uf3dIsU7xQkf3gOLCw64UlpRwSvhTW1Or8xCa27rwOlmT2RXj+i9dgK984Ry4ndp/MDQ8itc/3I9WSsleVtWIc7auw/ZNmdh9oADtndpZrHhAnMjpqou36zw2qSAEhIBpCHAEn/p23YMKdPaNYMZkQgq0q2YFuqOjQ1GUL7zwQmXwERER2Lt3r3J8ySWX4KWXXkJTUxMiIyNNM7lV1Koo0GZczOBAf+x46SH88f5/44M9B3DgaCFO35y94giyMpLxu59/D8+/8REpf5RWeXCI/oE0r3WNleffkPK8fUvOiuPlAv5kOf/GVedblQLtS/5do2NqIT60mslcIc4oV9PUMXui+VTc5PVbzkBncx1q9FCQZhszwUFvTy9yMlOQX7z0TcxKN3AmGBaKT/DmQH4Ba9JT4B0Sg6p+V8TQxsG8/KXHyuX7/ddicGLGz50/LycVvW6kV7shJNwBfgMdaGjXXqlcrl19rk05LX3TqU17QyOjeOTZdxSF+fvXXop3dh3ESdp7MDg056dfXtMADlenq3AW1B37cvGlS87UtaqUFwJCwAQEOP7zFIVxNUQ4AYsm2bVrFy699NJZ4111dTVuv/12PPXUUxQydAwDAwMIC9PPdUxTf6v5nCjQZl5dtt7+8Vc/RmxUOG0q1P4f9MvOPwP8GiffUN7E98C/X8LTr7xvltFHR4Tgzl/+CGvTEnXqb+PaZMUi9unRpTfq6dSggYVVG+kMbGZR9ZLqFooXrZ3vaCT5tTe16K/EL+p8wYk1qYkYIKWKrc8l5KqhuKuQtZx+LReUnPnIYQgtKSdKy+FaVYP4mGicPNmy4lACx+sx6JS0Yjn1Au2DPP8gJCYFY7y/A/Vt2v/dqbdjyHFz7yg4cs3YgrB8urbZ2tGNP/zjWY3Vhunxrb7S0DJ3Y6hvG1JPCAgBIxGg32zORmiILBVHuqSkhCJarZ1tOiEhAUFBQbj66qtRXl6uuHawn7TIygREgV6ZkUlKfPe6K8n/SLNSs1yHLrRTn+UqcuvgaAqvv/+x8tlU/0uMi8TD99wCTl2uj9z7i2/RhrVR/OuFD/AShcyypOQWlSGLbgJOVDUZfRiD9Dg9klKLNzUt9qnmzjiUWSs9NRid1H3NdRmsO92gnaiY2ayWmpxAirQHOntOLtkEh/eztLBSebKyWqthHNy7C6ed74vGqRCtyqsXaumfhr97MEIDJsgXfuWNqOp1DT3uHxpDSmqakhjI0LZMUZ+fbIkIASFgRQTY8GGILFH/jjvuWNTqfffdhxHaWO5MUZn4JaIdAZXjoHalpZTRCHA4NUMen8dEhmEzbS4ypYQFB+Ifd/5cb+WZx8Zz9CIl7WffugKP/OFGbFqbYsohr9i2A4VIM4WwT3R0bDy2nnEm1q/PUayN3A/H9960npLB1LVQtslh9JLFd11muk5D4Bjj+sjJqnrkHV9aeeY2K8n6m70mWZ/mLVKHMxo6TehvNe8ZmcagSyiCoxIRG59EVukkJEUFmWUuPv6BZulH106u/eK5FDrvNF2rSXkhIARMRYCVX06kYtBLt3/r3ClxmCjPui2o3GroxsuqSp9HYfCeuC8ItQ0tikuHeqQFYwz05z+6DhyP2liSTamE7//t93H9zX9FVf3Kj+uN1a96OzUUYs/D3RWGPO5Wb0/9+HjNzGPwtQmhmHT0QExcFMYoNF5+aa16MZSSy0dScgpcHafQ3tE5Lz44F/T380EiPVarrauDt28geFNjQ13NvDYWfoiLiUQwJZDJ1zK6i6o+x7puaGxWnoawcqouATQOdvGwxEZD9XGojtn9KWfb2ahzjFOd0utdCVlIBteh8Zn5ujn7kRJNNxONqu03ejW7YqWuMet7LOrp4YZvXn0hfL21T7G+4kSlgBAQAgYRmJqepN9d/V2yuPOpKXmqZNAiaFHZ6hVotuzxnZExxdFxxvpr7HaNOUZt29q8fi34tXXTOnz7Z3/A587YhG995QuUgOUw/v74i7TJaFjbpuaV235aDs6htjgkmLHl1YduxZ8fewXPLUgtbOx+NLXHynNH79zGK01lDDnHTxZKT1Yolvfmtm6NTXFiGI6ZzeJNvsp+gaGU3CUC5RWVFGHBFe5efkpqbb7eOzyj1GWkp8Pd1VFJxlFVQ37AC9a1o7MbbRR5YfJUfGuuq620URSH0LBQJfQb+4mHBgUiKjwY+UWlFGjfC5Hh4ThOSX0sKey6tO6cy1E/7m/0YdA9Dprhh+TkADTW12J4VPd/eKKCvNFYfABRMbHocwkBu2wsFA9X6/u5PXtLNkLpSdNqERcXFyXO7Wr4bdd1Tdh6aI/ztuY11ybSlsZ1VlmgNV7U8qTBqcC17MeOi1nfL/qCxWAXAPbNMaawgzx/sY3drjHHqGtbHIP5rSf/DLZC+/l44kIKmfevZ15fpGhp0+4Pv34lvnvd5VTUdIx+9NVLcM3FZ+CBp97CnoOF2gzLKGUiw4JJgW4wSluaGmGFeHBEez9n3vDHkl9SA3c3d0w6uKCJQpctlPLaOd9qT3dvbKA4yEUnSpVNpVyWFerM9GSUVzcsm8FvYbuqz22tMwo9bz5spBBG/GJp7xijVzcp0aHwoigmVbWNqipmfd+0dTsaTKA8q0+iqW8KqQnRGB8dRiPd/HBIxu7+YQq3N98yr15HdezjNIJuyjjKr83bTicFerG1mQL2qYpb/P3sLeuUm7yrLjpjVf0Oqnw4V9Nvu7ZfFlae7XHermR0YLHGuevvpsmpvA37vTCwurZfO7suZ/UKtF2vjh6TV2US41ixPZRMgoWjdnDqY22E4zxfccnZ2hQ1qAwrJxx/9vabvqoo/G/vOqy4KhjU6AqV+cesptG00QY4zfjRhpoVRqL58ghZPvm1kgxRtIXCk/UICY1QUnGz60VsVDC6yArNPted3fpHmVAPi6Y+jqaWNiTFu4JvQJpaTctQvV/+7q4//2o0jmsX5US9rj7H5V1880PuDF6e4JWgzOeI8x6GpoQ76u0P9fXMfjxy4DNs+9zFKG0epKcGzhTz2oPyLk6jp6UGMfT96KANjMMUC95SEk5uWXf/4tsG7cGw1NilXyFgFwRYdzYwCofB9e0CtGGTFAXaMH5WW5sfeT/yp1twvLQKZZW12LM/lx7Lh6CaErj4UIa63v75QdpTE2Nx7RUX4AsXmjcWLCv6t3z/GmSnJ+JecuswhW8yL1JGcixt4BulSBj6K5crLXYauWFUlFesVMxo19u7+mbb8vf3QSmtsymlkuIMb8zJNKsC7e3pieZxP4spe5QQDJNq8Vgd6SbMxdkRnm4uSspcd4dxTI6P4eCnefPQH/lkJ1LS0lBDoQSbh+e7Ua2njbQF/5+974Bzozr+//p677333t0bNmCaMcVgegklkEYC+ZNAEkILIZQAAX600HszoZpmg7Ex7u3O13299977f2YP3el0kk5lV5J9O/6stdp9b97bWUk3O+8731HBxc/oLPGbO351idnsKfGlyeplC5wcFiAe6ImxuYMp2i52Ylw9D7S2PvI5/SwgO9D62euEap2RHEeFNOKEKnmbNpyGfz/3Nv5+241YszwTZ172+xkR37NPXWZy51nZmGefspBwwEH48yOvgquviSmZVEyEo7ZSOs+ebs7IzckRc9p66Soi6rrU5CSUEym+Kj5aL0UaGjPlYlZ6MpjZw1TCKwZxK9ajYVR3SIyYc3OxHsZYxW4U0UpOTFwi+ijKXF9XR7SA09FmTeONjo6iMF89//nRvBJEhATAnYoNFVfUGwS50TSuLse378nG8qwkXZrKbWQLyBYwhwUYfyFHoM1heb3GNIjG7qqrrsIbb7whVKzRazS5sVkswEmT6UmxxOd8B9iRdnd1xsuP/03AePKELjnvdFx10dlmmZvyoNFhgXj23t8gOixA+bDR+4xnLa1uMlqPJgVutM4f4O2u6bTJjheWVgmV/aQYUMHQoQniIcWYfr7e5DyLnzSo61xdrQZRWlFN0Jh2HNy7GwXkEHfq4Dzror+SmHNyCkqpNHyoLs1FbfPDvhyj8ZWiTkhWJltAtsAMCzCCg1DQRv1jDbJIawGDHOirr74aW7ZsQUREBK677jrs2LFD/kGW9j6Jop3xsSzsUL/0zmeIiQwVYB1/Jro6Zo+wBAn088Jz9/8OV52/FuefvlSUKQX6SIufjQzyQk52tihzNVZJe9dMaI6x+pT7HzqaR1hrf+VDku4LCThmyiQPtO1G8d5vJb0+Vs6wmMgQ09mUx+SHoBYJoUw8hiyyBWQLGGMBcn45Cm3UZsz4cl9dLGCQ13TOOedg8+bNKC0txYoVK/DQQw8RBVQM7r//fqrEJn6VN10uRG6jnwVuu+lyvPzYX3H7r68UKhrq11va1sxJe8s15+Gvv74Ul597itGDFZfXgvHJUklOSR2CA03rBGm6Fi7WsigrTRJqMhdKrGtsERdeo3odXBlxYWYqIsJDBG5qj6bdCLSWdkzVOdhgDN0VR9HTZ3jBFlWdmt539fShlSLczN5iStl7tNCUw8ljyRaQLaCHBbgM9zhhmI3aJmQMtB4mN6ipQQ60YqTKykqhdjo70kFBQejp6cHy5cvx3nvvKZrIrxZqgSgq8sEcz6csy4QbQTosVW697gL8hZKe/H2ml/JTKeEwIiQIGVRBz9fLfU7nY5AYDzp6pHWG/Pz0Ly0thc2ZxjA7vwzBwUGiq4+JDAOX3RZDMtKSkJSSjJTEuBkl7ZMT46nUeiM8k0+HdfJGdAasRv2opxhD6qzD17aPSotX6tze2IbsRMeES/eAp25+VXXSQZrUjaftWH5JNV784NspbnRtbeVzsgXmhQUo8jwxxomExmxUyVAWSS1gkAP91FNPISUlBRs2bKCSxXb45ptvsGvXLjz22GN488038cQTT0g6aVn5/LLABeuW4YOn/oKX//UHISJdUFaPmqZ25JbUor1nCK6ubshKjtHILMDMCcMj0j6NF1a1IDE+xmJuTHV9CxVBcRV1PlwRUSFc5j2DkjOT4yIVh3R+XZSVjnxykksqG1Bc00rJj9Ml6bv7hzBKfzTaivZM6TOcS3VKhV47jcMuerUXo3ENObRBBF8ylSzLnLa5qcbUNE52YQXe+Hg7nnn7S01N5OOyBeaXBYyCbvwM/ZAx0JJ/Zgxi4SgvL8fjjz+OM844Q8DTKs8yOTkZTz/9tPIheV+2gNEWYLq75NhwbN09u+hKM9G58ebl6YmwQC8qjd2FmoYWYUzGdidEhaJcYv5nLrbR3GI6fmRtBvX2cIOD7TjcvX1hRfhaZjVpEgF6kVtwHIlx0XCmpMkjOfmob5gs7pKZmihwjXPKyrGCshnsLurmOTgy7Yjz+ZLaVqSlJFJ0exhltZMFXXi+qQn9aBomTmYTi6/dAGpNPGZLeyeyUuPVFtEReyrB/t5Ykh4vtlqD9PHDEpcTZ6ltaBUedO2IglMW2QLz2QJC+qCR+R+aCrFccsklqK2d/IVbv3497r77bmzduhVPPvmk8Bv8zDPPIIEq38oytwUM+qXiCLQm8fHxAW+yyBYw1gJNVHDCy9WBeHcnq7oNEXzg0+8OaFTbSTAN3mzIaWZ4xxA5ZKNE5FtUKf1ydVK4L7KPqact0zhhiU54uzsgv7B4SntEaPBkMgpF4o2VwuNls1QczZ3G02alJ9EDTDfqGicfYGY1pgMOtjMXvkZodaCQ7pFyIis/kHSUHYJt2CqMTMxsr06nmMeGak1PRzjJDV0h5mXM0MXfoZS4cHDlS3dXR+KDbxASQq0poVghDKVIjg1TvNXrlVcnODmR8xf0kcde/gRf7TgsdKkmB3rf0WKcsiRZHxVyW9kCJ58FOAJNXNBGiZr+/f39qK6uxo8//iio5qrMDL296667sG3bNlRVVeHmm2+eOm/U+POgs0EO9Dywi3yJFmCB7LJmvLAlB3dcugTLk4JwmLC9yjACTVMcHRsX4B2azktxnKOnliDsENXWzkzkrazhJEc/AerS09svaSGUIzkFiKIEwHR6gGFsb2/fABXHGZrBTX00OxcZGWlUTbF6hsnG6L4pSzXBGjJ9itHmHIfh8cmHKOXzUuzbLhhDS4tm51+KMT0JalNUXi8k3Euhn/ME3FwccTjv+JT6f5Pj2j84QpUW7REZ6g9Hezu8+8WPWL04CX+6cSN8PHVjrqkiqNAL736NXYcKBCYmD8qnCPDzpEjWKJZnxuPqC9ZqdKo7iF/7SH75jO90OdH7yQ701G2Sd+arBSj6PGFsEuDEbAc8NzcXAQEBeP7555GUlCSgCIqKipCZmQkPDw9h6+rqEiLRihLp8/UW6HLdsgOti5XkNia3wNDIGN79oQjDo+N48L19SI/yhdNEP7w9XalUdY/J5zPXgL0jxkd35xpjrvPOTo4I9HZGYXHJrKZ1DQSN4I2EGUOGCEZhTMnvWQMoHSivouVB3n4WT3c3JBH8hqOf7GAtICe/raUJUeS4lddoXx04mpNHsBFaVfBNR/+Y9D9XAVZt2Nc2d6EUxbWJ8crUgLkqDxNi6FXoCCSHNps4p5WlvKoaw2RPXtVhDLJCdh0swKFjpfjw6TvgRdUt55K84kr8eHB65aWTHpp4YymvacTXOw/j+ovXITTQB0xRGURzYRpNls7uPjSr2Jod8esuOl04L/8nW2C+WsDTzREXnjK5EsOrcZ/9mKeTKRYlhiLUbzLh3s15NrMPBwecqRIx57C99dZb2Lt3L9LS0uDlNZ1/wY50a2urQAyh06DzuJH0f5HmsXHlSzfMAoMUvdp5rBatXQOCAl7Nyi6bjAo6+MYhK7QfDCWQquy3IbNubO1EdGQ4yiqqDOludB+OPMeGB+Dg4SNz6qpraBJKckvlQKtOoKOrG7xZE4ygYnQyKsLOfmZWMMpVG6t5z1X9+katKUlUzUmRD/U06jIj8QZ1ITx5Qdn0w4Z4mic1MXSjrHrmigSf6ejsQXx0OAZGJmhFYiZN4ACx1rzw3jdYlBqDM1dlCoo4KfXNT34g9hs/IarMB48VVeKJ1z4Tzmv6j3nJH3/106nTHz/71ylGncrapllR9wAltp2pTvKObIF5ZoH2rn58smN2vs9cZjhUUA3eWJKjZjP7MPEDbyyLFy8WWNNWr149oyjewMCADMMVLDT3f7IDPbeN5BYmtsAznx3FvsLJBDXVoQeJTKOs1wkJMZHopy96eVUdRn52ylTbmvp935g13Kg8czctTZta7CjJUhfnWTGvw9n55ESn4Eju9LK+4pxUr2NK94nLjfd0d+k0VG19E0KDRtE9aqtTe2Maubh5GtNd774eri6ob9XNDnorpw52trYYGhpU27W4rAqxVEyJhZlqONKlkC93HMK3u47i0237UNfUhtafV338qOLm8cp6LEyJxssfbMXgkH60hhx1ZkrKdnLg73v6fYFxRTEmvxaWSvcwoTyOvC9bwKItwBCOMeOYo9T1/+CDDwSI2i233CLU8WAYBxM/3HPPPQIEq7u7m7inxwV2NYu2j4VMbnItzUImI09DtgBboLWbcLMUhdYmjSOuaJzwhWt4BjKyFsHRwU5bc5Oc42hbfFyMScZSHoSdZ44+6ysVlTUzuqxevwmu7u5YccZ5M45L9aa1tU0n1ezceY41wcNWepx5rV0s0tNSdJqXGI1qKdlSStaJ0CBfrRSOJRU14EqaKbEhsy6HGTJyKMqscJ65QTNVMPx+Tw4effFjGFL18lhxBdrIef7DP1+a5Tyz/iaCdJRVq3945vOyyBaYDxbgQioTVEjFqE0NBpqjz5wsyEwc119/Pf72t7/B398fV111lRCZXrduHR555JH5YGJRrnEBUZ1Mhx1EUSm+Ei7YIqZw5mlwcLCQjSqm3hNBFycG8JI4P2VamlQ1deORDw6gqrlb76mFeSxA7pFDevdzIsc7ITZKePoeGR5C3vFKMGWer5cbWohNYpSipswOoeCR5n3VZDflQe3tbBAf5oea6lqijpOe1i6ZmBXqamvQoqMzqjzXrIVZ8AhPh40TJYyRs1Q+5AVHOyt6eBlHlNsIfvroeQwMSFuAZsnSxSitaaHVhCHlqandZz5oJyr+E7X4DLQMz8b3qe1kwMFQmxbs+/4rA3rq3yXI3weNbfp/3ucayYagG4nRoSglLDqzY+gi6cTHnV8686FKl376tPF0d6GI+DAlMGp+GPrzLzfiwjOW6aN2qq2LiwscHR1Nngg6NQEz7jg4OGBwULd7bcZpij60m5sbbGmlpa1Ntwdy0SegRWFERISWs5pPvfDRTjzx9jbNDXQ4kxwdhE8e/63alr29veDvirJwIryNjc1UjoLyOXlfvQVkCId6u8hHTWiBanKYewdG8MA7e9Hdr/kPq7YpNfdOCLje0ZER5OTPDUuIjwqBk5MzqlsHkF8zvYTOXLx9wxOobOqBm3eQgLu1Jdo1PxdrTFjZoKaln1gDJuDtOIqyqtmRsiGKnB8rrUdyhL9JHOgFWKCz85yYmADfmIWYWGCFvvoiDIadjmpQ5F7JR2bnmaW82xYrL/kdvnvz39rMbvS5A/sPwtPTHWlx8QJzirbneT6Xkp6BKgmdZ76gCZhuYc6JsOAQ2YF2pnLooUE+yCks1fn+uBOUpKiiTuf2hjbsoFWaueSH/bm4YN1SjYWR5uovn5ctcHJYQLrYpqrzzPaSWTf0/9TIDrT+NpN7iGgBThi8983daO6cTBg0VDVjo0u7OSrpAJ+YLIQ49CJbibZLWS9HnZvo7/gARZhVJb9m+lj3wLQzrwpT7ba2QyZV4hscGiLc5mTSBuuypSIQCaE+yC0oUlUt+vv0xChkZ2frrNfZ1R31ttGT7cMi5+xX0WWN0zfdgO3/e02I0M/ZwcAGHR1dOLD/AFVyjEVFs2YHy4Go1nodggCJg2zWYxIP8LOd+HrKqhtFdRS5KEmQvycKSir1uhsRoUHIpwqfliCHcktx1xNv497fXy6sBlnCnOQ5yBYwqQUEDPRsGjp95jChhgdan/5y27ktYLpQy9xzkVvMMwv0kIP6pxd3Gu08q5ptZHwBGCPNFdfUSXRUFMEUjPtxYue6oK4X5a0jxEzgPzVMNLEUHD56DMO0TG2MMIwkLTESKfERYKYGVYmjCPqhw4fV4khV2yreV5QehzX0g+5UjvjhtGvuUKiQ9LWtvV2rM+kfQPR7Pa0Id+oFQ3akkuHeDqlUz9A7SJ+RqNCAGceMfRMdHoTicv1hGHnFpUiKmY2DNnY+hvbfeSAPzxO/dA/xiMsiW2C+WWCCVjnHCVZnzDahwqs/32xoiuuVI9CmsLI8xgwLjNOPw12v/4Rj5dIVrCBECJw8IrGQSOOLS8uooMdkVJET0jr7jHNuZ1wMvekatSN+Wy+hDLOdjXHPpLz87u7mDGY7OHjosDBUaEgQHOzdhRLlirEZm62vtLV3IHJBLzondCuSodBf2bUAZ1x1Kwp3b0F4fCqGCRddfOwQEjKWor+3C3mH9iiaGvzK7CVe/iHorpvkqlZWFB0dBa9AogikZYNRqk7ZTJuzQwfiyFmcoPvJRVaqOsVZ7gyzasSBo0eVh5ds38pqAXFji+sgFpfVCEVRmIpOH2Fcv62Rn119xtOl7eavdws84U/ffZMuzeU2sgVOMgsY+5tmbP+TzJwSXI7sQEtgVFmldgsU1bSjmDappZ84bktHHBAdn4L2hirUNLSAsc8NvfpRb801z37Cj0zYO8M/2A12Nob9aIVTFNvDxQG5+QXobGtAfe00ZVsNVRaMIo5phmywVFSUo6Jcd3yrYv7MFT00QZhnA6S81xH26ZegkfsSUsZ3TRY4ZcfN3wrORbno6zW8uA07klExCRoxuG7+YSiun4bW8BT6qIpednEV7wqSmhCFMhE+UlVj/li09hzs//5LhWpJXm0pWSeGKOSKRcYdhwX5oUSFXUXXCxih4jqWIPw5dXd1Aicc3nLNuZYwJXkOsgVMaoEJysTQlg+iy2SM7a/LGPO9jexAz/dPgBmu/3BJI1XC0z+CauhUKyk66e4ZjjD6w2xNju4AUXGJLQNDo+AtxN1egCHo8+MVGxGMgoK8GVMaoWRIZSmnAi28GSM2hM8mlmoMsAcsknQPjmPJRb9D9cEvUVaYa5BWZ2cnlFHVOk1iMzZ3lDavuBxpsaEo6Zx+8NCkT9txZvpoH3enaKwN8YsTsF4iYYc/u6hSdO0uVH1Mn88eT8DVxRlx0REoqdJ8Dwyd6M2XnyUw/nyydZ9AX6dJjxc5y7++4myEB/shjKj33FycNDUV9fiDT72B885cRXCpn3MDRNUuK5MtYKAFOA5jNEGaYcEcA2c8L7vJDvS8vO3mu+j8ylYcKBL/D/VcV9Q1OEGlhCPR0izt2Hn1Q4hKWQQv+1Gil6tFPfH8sjg7OSAwwA+l5dUzphrg60U8GtI5asqDMX1Yz/Gf4Bx/NvomxHNQqul5JGjReehsbRZKdCuPqct+ZHgEjtfNDh/7+vrAncqAW9mwU6zdRvy3ZogSOimNU5chtbbpH7dFCJXXrqiq09rO0JPJcRH0wKC9hLmhuju69FsJ4KTXkOAg4ns27uFMdb5Xnb8Ga5emEK46TDh16frV2HukkPja7fHP5z5Ed28/Vi9OwlmrsoQy3wG+HnBhRhITC3Nd/7DniOxAm9ju8nBzWWCMOKBnBlHm6qF6njmkZZHWArIDLa19Ze0qFvh0TynKG8WPAKsMo/ZtQ9cI4gkq0Vk804lV29iIg83dwxCQvPZBhBOOhKsNQTysrFHfNY70VGeqwNcDjjDXUIU9dhwUWGcjhtS5a15eHlbGLkffAvEcaB68vnscCWfdiMMf/Ye4aAeIT9QWTi6u6O6c7RirTnYBQThUJTY2Gn12vmgmMHtzw9wRaO5fVNWMYN9BuNLDSh/xSvt4eaCh3w7dg/qvdvj4B0niQGemxAnFSVSvV6z3fQP6MYikxMcI9IFijc96Npy6GL+9av0Mlc7EDrJuZYZwLDk2DFyy+0/E92wuYcf59Q++wt7DeYiJCCE2nWHKMzAM3mSua5DHPYktwMFjyhUySiwDkWXUJVh6Z9mBtvQ7dJLNz8XRvH+kFlgbH6HU55bUdSgKhEw6cT2DfP3eiAu2Exzo7IJypFIBi9z8Qn3UGtXWergTsA80Soe6zo0941i46Y+E3gN66LJ9Hcex4+1HcdolN6GvrQ49Ha1oaahDU/00S0RYaDCGJ6xnqRtzDkQvVaTUV+paGCs9iZeuae7C4rR45Dfq6UBTOLucGEvUSUJ0GE5dkYlTlqSBsDpUpIRKkvf148V3t6CwRHMUl3HecdHhojjPUWGBBDGxJraNWmGKDDtJjY8QoEMFJRXqpq3xmBXBmsSWrt4+rSofveMXM8qGa20swUlO3PzjvU8jp6BU0H4guxAvv/sFbrn+YglGk1XKFtDfAgzD0heKpToK46hlkdYCsgMtrX1l7SoWWJIQgK2HK1WOzr+3xU1DyFi0FDVlRVqp28SwDDtJmRlpqKqqEsZycHKHM1VU7Pu5aIoYYyh0sBOtkCoigki66C+oIJw0nD1pA1KSx9Hy9mMCLjY5KQHVLb1orhXi9YpuwutYexW8vcKpxoj+TrSyor9cvgzPfpmPQ2UdGFWK6KyK94arow1q28kBHhhFJRXImRJySGPik9G2d8/UIYYeXHjWKvz66vPVRipXLEzBi+98gdc3f0OFdqZtoFCQmhCN3OPGr3wE+Hqi9OckwczkOHBhEgd7W2QXlCiG0uk1NMgfXp5eyBF5NSYhKhjnnbpE6xz48yi+2651yBknP/t215TzrDjxzsdb8etrLhAqsSmOifH67c4D2LE3W/jchIfMpCxs6+jG1zv2C5+ncIIMxUaGwIPYaGSRLcDlnCgEbaQhjO1v5PDzoLvsQM+Dm2xJlxjp7w5vN0ejHSNDr6msZRAp5MwsGB9GUXkdJYqZ50eGo4Y8F/+QOKroIg3WVmGjeCpVnkfVEe1sHQknPIod33yOtedfgYGRNjTbR5HDp2gp/uuACrNDZZcV0peegqN7d1BCpxPZfzach23j6OSEdi3lnueaaVyIF+648hREB3vjz+fF4lB5J576qlTg/16b7ItbzoqaenDhSE9L9xBGxiZQ0tgr5O60VI/hwL69CAnwwarFqbjx8nMp2U477OXmq86Dn48nHnr2nanpMS8z21esEtnsQNc3TeLqj1LFTbaVIZGqYMLjH8qvEEqj9w8qVkmmpq33jo+nGy7fsBpXbDhF776m6JBfXIFPvvlRwDq//b9vZw258Zw1GBwegQslj4opDA3ZvueosH3+yoPwp5wHlu2Eu/7rwy/NGMrT3RVfvv4wrOnhVpb5bYEJeggfHzUSAy1hEvT8vjvTVy/ur8W0XnlPtoBaC1jTUvayhEB8eaBc7XmpD7KTVNo8GdV09QlCmKctemnJuYyioJyIZmppIrw04IPYmCiUlIpvE3aw+oethGvjMuMK2fH5e7AmZ2HV2R4YGepHLUKEU+FUoKR8/1fwTN9gEHZYoV/ra/BiLF46oDEiyw6hjXsABik6bYi4OdnjrqtXIyLIW+jONlgc7YkXbspEKTnIKaFuU84zN+Dzfu4OQttgr8lEtiY/a8Q8eBtBI6KE6pLCSR3+4yh1eXU9fqCo48DQGCrqWnXopXuTptaZRV70dZ7ZOWPGjarmHkrQ9CA6QEp6DQugORueXMuFhFZkJWHT2St0vxATt2xobsPnW38SNnVDX7x+jSRJjPsJHqKQ6vpm2BPOeoBs/v5n2xWHp145AfRVwmX/8opzZ3w+pxrIO/PIAnIE+kS42bIDfSLcpZNojpww1mtEZFFMU/QThKGIoBSADcIjImE1QpUFayeje2KOM7cuwtI6hSNrZST6mitxnBxpfR0jTWNkZaZTkli92tNjFKHYueVDuHt4IOu0CzBu7YAj375HSY5dsLL6GkELz0FDt574YbUjqRys2avReVa0tLc1LAoXF+qN352/EP6ehBdRERcHG2REeKgcVf+WI4WKaKH6FpqPXn/pOUJ597ySaay35ta6n4kkR7Ws2rDVinhymh1d3FBZ34YyJU7t+HBfmqvh8+Rqn26uznj/673YfqAA/7rtcsRHBul+USZqeeqKLOKVdiXIi3qWkv1HCxBNdJJiy6gSXectdz9F36sFBF/S/KTuQXR+/EAny3y3AH1GzBHRme9m1/P6DfsrpecgcnPZAgoL+BB8445Ll+A/v16LxLDJ5UzFOXO+NnYNob7fFgx3iI8IoKImpqXUGqSiL5XtY2ixCUVE5qlYsnItlq46laoSGo6JTE2K1+g8K9u6q7MTP3z8BnZu/q/gPPO5mspylO3aDD/X2Ql+yn313bdbMEYPCBVauy1bdQpKlJw8rY1VTpYSHV5e5eRDUHffEEWBjVsGVVGv09vC0moqkKL+oUUnBRoacYVKQ8SGEg7HrOxRUFaPfmInUUh6bIhRzjPr6Sb8OMODWJqJX/3Ox9+VlD9bGMiA/yprGzQ6z6zuu12HDNCquUtJRS3u/8/r2Lk/Z0Yjbc4zO9enUYKqLLIFGALNQRRjN3WWvO+++7BhwwbcfPPNQl4Mt3nooYewfPlyYdu4caO6bvIxNRaQNALd09ODL7/8Ep30BzooKAjr168XkjSYSmvv3r20NGqLM888UzinZm7yoZPYAoxRffSXa/AZ0dq9+V0+hs2ERVY1cVUb04BZEWd0AGGGW6lstPqIlWo/Md93DYyji1Amse6D6Oo2DMbA86lvbIK/jy+aWmfjjHWZb2tzM1LHO4mSz1WX5jq1GRonDHR6KoqLiolqTj3lWs+w4RE4dlBe+vIoiqrbUNHYiRs2LEU6RZ2dHUzHvvLp1j3kRIobuefqfIUllTrZWLlRkL8vvHz8cVxNkZThEYYPGS6ZydHIOT4zIt7W2YO/kBP9+J3XGq5Ygp5cGEebHCd+9orqBkQSw4kYsvdIAb76Yb9eqviz+8RL9NBKOPpbb5AZQfQy3snWeGIcGDPy4X9sGrKnMM8333yDpqYmbNmyBVu3bsU///lPvPTSS4KfxsdcXOQVEIWtdHnV/quiiwYtbbZv347Y2FgsXLgQn3/+OY4ePYqsrCzh5t1+++1oa2vDJ598gt/85jdatMinTlYLcMRl46pYLCFM9Hs/FOKHHMOXksW2UUPnEBIpgcwcDjRfi5OdFfZTEpsx0tbeibCwCIMdaB57pJ8fIMRzoHl5usk1A5HL49GW9z0YmxpKVHb1dQ1wph/vpNR0FBJO2VjZlVstqPjHa9soUc4W//3jevh6GBbB1XcuFbVN+naZs/04RaNs7Qg/S0lpusjCzAzUNnWgtbsPrX3q8c1Flc3wo2I1gb7u6CJoQ2XdbDYUdWNxIqOrq8ss51nRtq55Jk5bcdycrx98/r3W4YdHRumBWZw/h339g5SwuEvreJpOfvfTYeFUL1EjOjs6EF49FDHhwXj4uXcRTa93/f5qTV3l4yeRBZiTPIn40lkYyVGghSJT+bI56VmxUhUU4K18StjnKPOKFZO5Co6OjqirqxMYkdrb2wUnepySFy+77LJZ/eQD6i0gzi+Get1Yu3at8ETDpznazJFoa2trYVmCb1wzRbjs7e1n9M7NzcWxY8emjvn5+WHZsmVT78XY4T/ivHl7z/6AiaHfknWw/flLIhbGVoxr5fuQFh+OPXk1uOfV7egd0M1JEGNsbTpUy2lrayv2OcZnr1pzKipKClFXr94BmmvMAIo+NrZNciLP1VbT+WP7dyLq1GvR3mdkNERlgI5RRySsOAeBrQ2oa+uDb3wosSCMoqBBiU5OpY++b5lz/B83n4PlSSGwMRGzQWVtI7FkiJs4yNftT05rb592fmVl+3S0txI/tfbvEf1dRmtnr7ClxRL+dw4H2tHBDoH+fqhuIPaWzslEXOUxFftpCZFm+221oUgzb6q/7b+69mJs+W6PkMCnmKfqK+cCqPZTbaPL+5yiw0Z/Bj7ftmfWUFV0fy4573QsJ8pEdcK/7c7OpnlIVDe+uY7Z0YPlyff3fALjP9MjTfI587d1bhmnyLWi3/j47FUwd3d3QQn7X3/4wx/w4osvChFpX19f8MbogHPPPRcc/JRlbgtI6kArblZJSQmys7Nx2223CY5bWloaPvwp+FQ1AABAAElEQVTwQwwMDODCCy+cMUteQggMnF5G86AfNbEdGf6ysYitd8aFWOgbdp4tzYFWmGpxfAA+/scl2JlTRX+g+9FOHMCVtAx/+HiDoolJX1uJp9WcUtBMUUevBCwLC8e+ffotB/O8I8LD0N4ziDZykgyV7q4uOHYdh6dbLDr6Zy8JGqrXn/7Od1NhldJ6Kuoikbx9z+WIIYaJ7u5ujKj5YyL2sHuoqt09j7+mNUnMkDGzUmJxOLdIr4fe8qpagT0knYr0HCud+/vDzBCahB8+mKPYmUptHyms0tRs6viKzHiz/bbybzs7kqq/7SGBvvjVNRvx5EvvT81Tdaeypg5BlBRprGTnHTdWhdr+HJW+/o8PYikxnpx5yhLiJV8NO7tpaBIHRUbnIXUZ32/mFle952qNeIIcHKBcBUMgW/UNLahHi3CVmoIGFRUVuOiii/DUU09h8eLFQtudO3cKr+ecc47gm9XX18vQWh0+K5I60Dx+QUGBANlgmAYvGVRXVwvbHXfcgTEqp/rAAw8gMTGRfgjshOlGRkaCN2WprKxUfmv0Pn/h2LnnP6zzTdjO/CPLTrSlyooEvxlT+2JfGf77ZQ45EDMOS/6Go37GRnCNnSQn8Zd0OWDp0qXYv18/J3rfgcNwcXZCRmICsotrDZ7K3h++hY/fUfgt2YTeId0/N0EuY1gw2I5xey809FnD1moCoS4cyZ5Aa0sTJqsGGjytOTuOjQ4Ln3VTfM+P5Jfid3f/35xz0rdBWJAv8ovL9HKeFWOMECxhaEizY6xox69cKIarGY4SdpvhIgxDaGrrRCJBCMrq2lBMZdJ1lcqaBrP9tiownOru+eolqVod6Bfe+Bgtre3YSRSEDC9LTYzGxrNP0fWyp9rZ2oqbeDulmHa4BPnug7nC1kB84Mz4ohAHBwcMDqrPK1C0OVlfeYVb3T039/V6eXkZNAWKP2NswriAxbia/uwYb9q0Ca+//jrloqQLc2OH+t5778Wbb76J4eFhonXthb+/v0Hznm+dJHWgi4qKsG3bNtxyyy1wosIILOzAsSPNwk+Nin3hgPyfbAE1FjhvWTSxYtjjsc2H6A+I7g6cGlVaD/m52cHTyZqcxAnUddAfIhM77JomN4EFKO1xQGhwIGoIK6yPcNTqwKEjyEhNQkGl4dACTigc3/sBkhauQPUELfcrhJwtVyuq5jcx+f1WHHawnkBjTTm6iAmDkzEjArzQ2NqNnGrdHDqFHkNf12aEw8fddMvZfX2aIQ2GXkNGUhRKq+p0xj2rjhMaHIDKJt2CBMdKZiYDsi4PV1dUNrQT7EE7FER53CA/T1y3ca3yIYvZ5yi0O1HudfWoh8JwSW/eFMKQjxWLUqhSoD1aKZ+AMchzSXtnN5iBwxSyj6j3TlmaBq5waENBIVlOIgtwtMjYIBclpaoKJw3W1tbiuuuuE05FR0fjo48+EqBL7FgzWuDOO+8UVnFU+8rvZ1tAUgeabwxHO59++mlhZE4gZNYNT09P4WmHIRyrV/My1GT0efb05COyBSYtsDolBO5UIOOBd/ain6rpiSExfo7o7+kSKn9xln49RUWrKycdoUAfd+LctZxoTpSXNY4UNRl82bV19dTXuO8Zl6i2dg8CfkZdBA0WoCRnP6rJuVh21ibUW4UK8/NyoEIoA40oI+eZZZjC6MdrJpcV+b2tDS23Ssy6EhtsWOSH52eILF+YhLt/fxXqKSnyf1/vQicl7xkjscRJfMRIKIAnrbI1dbUZPI3OHv0fCpqIys5SheEdF1JE+Y3NX+s8xRtvfxjenu5CBcNbb9xEWFsr4fdCVUFeUTk++nIH0eEdRERokJCQyImJUko2rXpc+ft/CvjfGygS/YcbL5FyOJPr3vrjIaHk+kXnUEVRqug5r4QdaN6Mktn9n3vuOfCmKv/5z3+E1QtFDoHqefm9egtI6kD//e9/VzvqBRdcIOCVFNgltY3kg7IFVCyQFuWLx25ei3ve3I1W5nnTUQI8neDpSs7y8JgAG1BEsWmVFuUaKsU1GEj9puOU9G5W1jaOxctWYN+en3TqGxMVjo7OLnJWbSgr21X4I9ttJLvFwlPPR02vFcj/xShFN8ZHhtBMS94sOT9+gYwVp6OrsQLuIVFUFhsCdZwVOS1BzvTGxh5WEwQPsLJBe20pPENiUdk6AFdiyGgjnLZCuFLlmJrIieK8rq/HayfnpWt7Y9txBHD9qUsENdddfCb+/vjr+PFArkHQC1Zib2/8T7OdvYOxl6V3/zFaIeqghwdPAzmr9R5Qzw43UEn2L7b9hHai29NFmqnyI29FpVVCEiIHhP5yy9U49/QVM7rnFZfjq+17hWNMiedEkJgYeggqrZwd2Z/RUYQ3jH1WxkKLoNIiVOw+lIdvdhzA8qzk+edA0x2YTB40/Fbo258hQLLoZwHjf6X1G2+qNWOWZJEtoK8Fwv3d8MSv1uLeN/cQz+/c0S5fd0c894cz4OrsKGQZ8/JV3+AIevqH0dbdjweJK7m5w/AkO33nb0z7cSvt3xnGOzNkY2FWxs8FVCjiTJDj9gFxHJodn74FB1ot8vdxhpOjM/YXFk1dTi9BGH7atmXyfW6+8GpnZy/8Ya8gTN2sCmx5x8AJwoNW1vBKXInO3iEk+JFz3VgLT79AWNnYoaJ9lJg5yPk2QHLLdcfsGqBeaxcuXPLwnTcSRV87Hnj6beGBoIAcMMYX6yoDGjiyde3P7cRaqdFnTG7b1NppcQ70nkO5eOX9L1FEdGAjBiTasZPa1z/50P7Ak6+jp3cAl19wumCaI7nFePb1j2eYqZ+SMu3oc2AqCQ2amTdiqnGlGufFd7Ygl6L6LNuI2o/5uYOJou0nwn8zBGf1kjS4ucyEjUk1F7PoZR5oPX4v1M5R4lU+tWPOs4Nmc6DnmZ3lyxXRAt5UzfDRm07Bln3lKKZI475C9bhgzkK+5+rlsFdK6uFlXKY34y3Q2wV/v+Es/L8nP5EUWy3WpY8TFlohfj5eCAkNoyPjFA1eAFvrBSivb0dGrCeOUXELvk5l4aigscKJp24UyefEtFKKss0lw8NDlJQyCePgIhGqwrSWLAl2A/APdMW+7z/HqLDsnSMcDwoJQUJCGtqbauEcEIuKZt0edPh+ryTIj7kl0M8Lz/3zD8I0rr7tYYIEqf+cqpsnL6UaIzGRYSitNhzyY+jYoYHeFlfK+6mXP8Q7n2wz9JJm9ePP8vNvfiJEnK3pN4bZEtR9vptaTLMKws7l6SuzZs3zRDzQSw8pL7/3Fd7/fPvU6g1HoXmzJ8aRoWGKCJDw/hmrF+HuW68R3ndSwanj5TU4lHscF565kh7wT4Zo6uzfTOFidf7P2P46DzRvGxr3Kz1vzSZfuLkt4GRvi0vXxAvT2EEFWJ79/OisiNtldD4q0EPrVJOjA3HjBcvx4ie7jYecaR3J+JM1neNU3nst9v+0A8EhYVMllJU1F5Q1zHKelc8bu9/Y0oH0+DBKZhTPOdvzg3rnpp5WC3hjcSf2Hv/UNQItn+IaOKodRtHwwZFxNBHtIUMGT8uMwBWnpyDU103RzCJeGdqgjzC8jeE3hkRLeRwXN/rct/TrM6QobZekxkj6+dN3kq998KWozrNifKb9Y1iHNuGVCFMIV1DkgkSRYcGmGE7SMT78Ygfe++x7tWMonGc+yftbvt9LnzWq2BoVhmdoBWD4Z+f6029+wtLMRFoJ6cCjf/uVWl2WfpBXPHgzRvSFcBgz1nztKzvQ8/XOn0TXvTY9FLHBnnjkgwMoa5iMagZ5O+PK0xJ1uspL12VSNNoN972ke3KRTopFbsS44lLKCVt22gYcOXhAZO26q8s9XoPk+CiiV5tcYtW9p+Etu7o6MXjwGyw55QwBGzhuZY/BzgYc2vaNoJSj1X7xS9DbUoumek/0d3cgIyVB7YCdVHXP3c20JWtT4iOo0l8TlmUmCBGyY7Q87UFzeO6tL9TOsaCkGvFRwSicw0lT25kO2prIeVMd/6J1kzhw1ePmeM8OyCff/GiOoYUxmRrQVJJfXHlSOND6ft6/+G4vmZi3aami7xlvXh6ulMA8QpR/eXj0hQ+w4fRl+MWms4ja03G6sUXvGedAWwyNlEXb2LjJyQ60cfaTe1uIBYJ9XPDQjavx6IcHUNfai5XJ+kVjVmdG45FbzsehInIOIwPwyud7UdM06YxbyCUK0+BywyODpo8sKmzAJWYTooKQkz+Nf1ack/qVoSO7FDhrlcEU0epsOv7Vl18KZ5k94akH70BvT7cA0YmjSNVRwqs+8MQrWLsiCxvOWCU40hzBklquvWidgAe/ZP1qRBDt2BqiH+OodAtxLW/+apfa4UcJw6iNdk1tp58PGhm80qZa47kLTluEsCAfjedNfeK62x5EI+HQzSXdGujypJjPKx98RZ/nlVKoNpnO/UcLp3DPYgzKiaKrL751StWb/9uKT7fuxl9/dyU9yCZaNsyDMNATY8axuEwQZ7gs0lpgAT2lG/uYI+0MSbsUhVSCg4OFgi6ST97CBjgRCqlIYTK+bi5VyiVMdRH+WhwmZ/rdbw4jRw1Hri46xG7j5+kCD9sRHDlyVGzVOutLoKhoWUUlBod05wbWWblEDZPjoggfWU2JpE7EvjDNi8wPA6euXISOrm6so8pu73+ylUpme9GScKgQYa+jql6bqHQyt5NStu/Jxl2PvaZ2iNSECIHKS+3JOQ4mJCSivHaaPnCO5kaffuuRWxAR7Gu0HmMUcCEVZhN46e2P8dD/vWWMKqP7pibFII8iw6aSr978N7w9XEw1nKjj8MPkhTfdLTCeiKpYg7J1qxbiwTtu1HBWvMMREREGKXvyxXfx4H9eNqivolN6chy+++gFxVv5VQILyBFoCYwqqzzxLcBJeIsSw5AWE4w7n/kMx0rqzXpRyaHu2L935lKlKSbEEdDIEB9ymIkRY2gE9Q0NJ5TzzDYqr64j2szRGc4zH+eHgK+37+Fd7KMy3CyllbW05HtMwPHyQxSXfuZCFcwa9O5z/xCKPwkNRfzPx8tdo7bhYcOjUL0EY3Ek53/ABA87Lk4O4CIqliBffrfbZM6zv58PAvz9UHS8lJJrZz5UWhFntKlkzdJ08D04EYXx5Lfe+4zJnGfGpl+6Ya2Fm4rjmsbGNo3tb+EmsoDpme4bbgEXK09BtoC+FrAjRocHf7MBl52RScURTJMUpG6Oo7A2asmRYQOGYDJdqHhNUUkF8ouOU+S5gqK1uvHnqrsGcx2LiQjVe2jlhbmq2kaUVtTgoFKVOr0VqunwMi27b7z5Hvz2708iIyma7s/MSHcoVc7jP/bMKWyIMFNBdKgvYsP8Dek+1cfP251KeocIpb7ZSQun8uI+nq5Io+g48z0H+noQrCcE1lRZ1hJk7YqFiAqTvvAGVwZ18fRHUU0HbF39kBAXg6DAaVv3Ujl0U8nO/TlYf+0dAhOFqcY0dBz+btU1tqK6vhnMurHncD5yCssMVad3v9tvugTp9H2zaBH8Z/qPAQLGbBZ9kSf+5CzjF+/Et6N8BSexBZzIsbl540o8e8clCPQxD7tDcU07vCOSsXT5csTERAm8ynOZXEFlx69//OUmrFqcMleXWefrmtqpIIT+DugsRWY64EpcsY3NhpcwV552UlyE8luj9y87dy3x2aYKTBtH8oqJZ7ifHNFgpCdGkUMdRc5FH2FCy8CcwoZIWWUNjmTnoL2tGW4GJk7xfDqHrVDW3I/i+m4MWzuhoWcM3aO2KKrrRt+EPdoGrXCsqh1/fOIj4rweN2SqovbhJLEbr9ggqk51yvwDg1BL3w+WEeLsrWjuQ+eQNSJiEhEZl4TajhEsTE9W11WSYxnJsYiNDJFEt5hKv//pCC6iB8dLfn0fNlz3N/zrmXfEVD+nrhfe/gJdRHtn2cIsHISDNmqTI9BS32MZwiG1hWX9J40FooJ98Nydl+Kfr3wr4KNNfWEdVFqZt2XELvHqw7eisqaRKtbZ0o/shBBdZhzh97uPgPln1yzLQEJMmFBSmBnUnIn3elFaPH7Ymz1V0MPJ0R79A3M7Z4NE/8FOuHJU1tTXbuh4yXHRBM/INbT7jH4PPvU6HrjjVwTnEOdnk537cbp37PDxMjbfPy64IrY0NLUICYyhQQFwc/dEfplucKSQAG80dI3QdIgrTAfJL29ACxUl6u0fQm5ZHYoqmuDj4Yyr1y8lKIn2IkA6qNerCRfdkFrUUJsLRXMaqJCMQgYMLASk6K/rawitVjz9j1sJqjQTRqJrf1O24+iv4veEP/emFi7EcujYcZy+ynK5s9lxHh83LgnQ2P6mvi8n4nji/CU4Ea9cnrNsAQMs4ObsgIduOQ9vbDmAD7YdMUkBlnt+eTYig7wFBzabiqTEhvkKhQTio2dHhq+lMtKqYm9vLxQ/YTjAC//6I355x2NCQt0dv7mcikHsQ25xxZQDp9qX39c1dkw5z/aEqWWspwPBCgbN8MdP3fy0HWuncuZiyXc/HsAvr7qAIvKTUb77/v2igJn++x9vpIeVcIOG+dNNl4K3vz7yMrbvlS45lDlyOSIN1CA1MQ41LX1CZNvezgZe7i6Co8uQy4nxScy1FfFQt/RbYYAqW+oj1933phCNVe7T3TeI269ep3xI8n2GCEgtLZ1zRzEd7EwD++LKfFzUhVjbLF74Id+cD+PsOFuy8yzcQA4eM3TDKDG2v1GDz4vOsgM9L26zfJFiWoCxnjecvwxnLI3H8//7CfvzxI8a8nx/SQVeGDKyJitmavrhgV5T+4bspCZE4d93/RpZqbGUdOSIM09ZNJlgR9jmnw7koqW9UyhAkEgO4Y8H88lJHhQS6CYmwoQ/ep29g+ikqoZjRJEUHuqE8spq6m+Zf7U5snu8rNoQM2nsc4hw0NHhwWjr6MLWnQcEntnf/+3fuPP312LdasM5kK/aeLqkDrTyBeUWHqdy7N5Uw3IQfZ0D6GlvhLpP8KKFmVTuXrnn3PsMZVAWXrXh70t7Vx856s7KpyTdX0dV6j79dpfouHXFpLmIT7sODnRLV/9UtFXRV4rXfhFKv0sxL1WdHHF+8d0tqodN+n5pRqJJxzNsMMGDNqzrHL2efPJJfP755wgICMB///tfuLq6ztFDPq3JArIDrcky8nHZAnNYINTfE//67XmobGjHc5t3iQ7r8PNywdqFsXPMQv/TpxAHsbIwJMHfxxMXrz9F+TAKymrx7a7SGceU31QMDiM9LQWjVK7b2s4e1ZVVRBXojYKiEuVmJt1PiImgpc9xDBA0pW9ggMbmTTx5/o2PsGXbLkoqrKXVh0lnkRMr/7flB6Mc6F308GJKaWqlijxqxJ7oHtPTiaPaitg7jGAAYdWerk60WnMBRbdd1Iwk7iFORuN74u7mhu27DwuQpbZ28VYfVGfLpbsTiS8+t1Q7HMbTyQY1RkcSVUef/X7PoTzkH69ANJX1tmQpq6oXHtjNNUemr1uYGmeu4fUYlxxognEYJWr67yUmp927d2Pr1q144YUX8PDDD+PBBx80apj53Fl2oOfz3ZevXRQLRFBU+K/Xn4Hr7n9HwH+KopSU5BB13umL48VSp7ceXy30aqyMl2FziqumImy8hNxV147FCzOorO6wwBcdHxsjOLQcsa6ta0B7xzQ+VNcJ2RGbhL+Pl0BD10eOEktaYoxAezU6Ogpfb09hLgwryc47rqtag9r1EbOCuhLOuYWlgmNgKD56eVYSjuSVUBJYsMC6sYSiZAHESf2nB18QqqoZNFk9O3FUNSMzE/nVHXr1DA/wFCofltZOwia4CmKovwdWZ0SbxHnmyb72/pd463/f6jVvYxsXFBQAdh5a1ZQQ/7gppIUeFh557l08cPv1Ape5KcbUdwwubPKrvz4xlYOhb39j27tRzoEpuJ+NnSf359/WCSMTctX1/+mnn7Bx40Zi97HBlVdeiQ0bNogx3XmrQ3ag5+2tly9cTAtwtO1ewirf9fwWWtafuYytyzi+VCSFC6WsX5mMXoqeero6IiVaeioubXPjstNvf7ZdWxPhnALPyElwLNnFCqfBgfiza4Vj/J+DvQMyMtLR19uNktKKqePKO7GRoULCG1OwjRIcgKu5VdU2oIZK87KkE9OAQJdGeW2NzZNR1FYJI43Kc9O2z5zSuUWlBI1RXz5cW18+l0FFN156+PZZzd596i588f1ePPbSh3o5HlYEm+BELX5wUYgdYeETUjKQn3MYY/TgoSpZi5eT86wfdjg1yh9H84/TH3xKVCWKuwBayWim6orFJe245NSZKx2q44n1fidhx9/99Dux1M2phz+bqWlp9D0dQUWd5kI1cWE+yMvXfH7OgfRswBFoXvi3RCmh1YHte47q9RkW+zrCgv3EVimZPh8vT1xx8bmCfv59ff/jyeqqcw24YkkmQeuChWbu7rOhGbW1tUhNTRXOe3h4oK1N/UrUXOPI5yctIDvQ8idBtoBIFshKCMV//ngRnv1oFwrKG7VqZScwKyEE8eF+WLcknvDI9sKSt9ZOJj4ZT5RYzE08QFANMYSdzPzSGsGx8w4IgTtFhHq72tBBiX5c6ISlhPiW3V2cwZny6iQn33zwEJ4PM2dcdfHZcKM5Pvb82xRdn4AfOY2Xnr+OEgkj1E3ZqGOc+LkkPYGiUepdI1+/AASEhiP38P6pcU674GrUj/sITm2IYz8G2utofxzdrvHoGZ6g8saLsefTlzBMpdEVYkeFYsrqJynZFMcUr/wHnHxxEuE/4bCHiyN8XG0paj4d8efofFl1g6IbhlXw0FMnRN7hEtDKDwoiq59Sxwm0PE5IVNyc0A3uVFOjeJCcUiHpzrUXnyWsWkg6iI7Ka6mKJ69IBfp5Cz3ufuxVVBBrkDklMtSy4S3Ktmlt78B7/9MfK77nwFHwxpJObE2q4u7ujt7eyeTXfqLN5Oq8shhuAdmBNtx2ck/ZArMskBDhjyfJif5mbyHe23oYDa3diKFKfouTw7EiLZKSqfopSjRB0eVAi3OYVS+Gk/C4/LVYDrRCPztk3b39wsbLqhlpoagi/PQQMUV09fRSZTcfjQ60Qoc5XtnJvOO31+Cc01cIw09GyHtx3WUbBFYSqeaU2zAMb19/JC1Zgw6bQPjY9KJw77eor61G4qmXoa4HOO2yhVgwSs6ytQcqetjZnnS4y3sdscA+RnCmQc4zS1W3NVavvxQ7vnhPiES7uLohhaJSeRXqo6WJQS5orK+Hp3+QwHWcGh2AHIo6tzSrd+p5jOfuvh4pMaG8K7koViKkHCglOQEVjT1YQA8ytY3qHzSUx2favq5W9Q+Byu3E2relJfnfXXcRRi0koZe5nZkm847fXAEbYnThhytzC6/InCgSFx2B884+zajpRoaHzOqfSRCtPXv2YNOmTWA8dBqtpMhiuAVkB9pw28k9ZQuotQBHXs5dlSxsDOewtZlcTlfb2IIPsqPLTq2Uwo50LznNza0dhGX2IAxwqAAFkHJMfXVz1Hn10gyBwi4sOGCq+5UXnTW1L9VOWfMgNuf0I3z15ajqI4jMKEWS4QS3zIuQuGIA5T+zZFR029IUuCT4bKeWbuMsKR/0wqqLfwub0V60jbujbXgcSwO7sX/P7llt+3u6iMqwhdhZ2pGZloSWpkaB73hWw58PRIf6mcx55uRB/r5JLZ0DE3pRVnq6OZIDLfWsZupnR9USHGhhpel4pfDbsfvQXfBwcxXyF2bO1vTv1ixLN/2gBo644axTwZvYcv7552Pbtm3g18bGRoGNQ+wx5pM+2YGeT3dbvlaTW8Cc5b+NvViGUWiCUhirm/uz45MYEYCj2XmCuhbCzvJmKZJGuOSosGD86bdXE37bzmTTGiYn+avcDkT7OuDd/a3oGxqnbebwQ6MTKO9xmHlQz3fV3RyRY5zkJHa9vN8Ny089C6W5B9FCzjKLva0VQWwmvXSOuB88kktlvN0R4OWFxvbJpWChodJ/y9Jild5Ju7vh2j/rVAzImFksXpSJY6W6ww/4wdN+gbQPnqrX4+PlpnrIbO8/3LID7ESz8MNb+8+fH7NNiAZmfvyVi1LMOQWLGNuaHrKee+45YikagKOjo0XM6USehOxAn8h3T567bAEJLcDRYSklniKVCudZynH01X3ZBetwzmkrkJIQrW9XUdq/sqsZO4/rScAsyshAdY+1UFpcoS7Yywm52TMhC63EgW3VRdAkYlipbJx+4LGiJfK1S5Jww0VrFd0lfT2YUyi585yRnqKX88wMJJ4O4ygWmX98LkPeePlkwtlc7UxxPiZiMonNFGPpMgbT1v3uFxfq0nTetJGdZ3FutexAi2NHWYtsgZPOAmFBfkigaodFZVzBTlyJDQ8kpoZScZUaqY1p4+667QYsXzSZpW6kOoO7r4x1xa6SbirzbbAKgzu62lthjNhSQEARlvKmXgQRJr2+aSYegZMnK8rKkZYcj3Fre6xbnoJAXw8sTokWKO2EzhL+t4OYNx548nUJR5hUbWVjr9cYMSFeyMklejsTyqb1a3DeuklcvgmH1TjU8299pvGcOU5YmkNvDhvIY0pjAdmBlsauslbZAieFBZgLWmwHOjYiCCVFxRZVwTAs2B+vPPF3eHqYfyk8LcQZCYGOKKgXtwiMLh/Itr4xRCctRGPT11PNNTFccNXBRSlRuP4S6bHgU5Ohnc3f7BUqDDo5OaFHwlWSwAA/VNRrp/liqjobjFF1TkowpAh8aWm58lQl3+cxr9p4huTj6DpAA1FLHi+v1bW5SdqtWJRsknHkQeafBWQHev7dc/mKZQvoZIFyoiQ7kFOsU1t9GnFBBcY/WwhhAJZmJeORv98CF2IcsRRxoMRTc0nXsPXU0FF+LvSwUz31XnXnnLWLVQ9J+v5wfjmefedbSmJk3LYt0jIy0d3egspqcZw2JypvnxAfhwXWNiiubCI4iwr4XOnqUqL8kE3RZo7Gm0uYWMKPkm8tQQ4dK8bh3GlaQ3PPie1y963XYknGbDo3c89NHv/ksIDsQJ8c91G+CtkColvglc3fSsLC0UYOdHhQAErLq0Sfs74KF2ck4fH7bjNpkuBcc2zrHUFRo+mjz4p5sVMWHRWJOuIx7u9smUoIU5xXfl2gxA2tfFzs/REq/LLnyHH8/an3Z6gurpxM7lu0aCEOHz5CSWv6O7MuxOmdSE7zKKxQWt2M/IrmGWOovnGws0F0oBsKi0vN6jzzvNh5H6YnUeYLN6eUVtbhrkdfoUi8+sRSc8ztb7dcJTvP5jD8PBrTfGGOeWRk+VJlC5xoFuAo8fa9OZJNu6l7CO5Eb2Vu+d31myzGee7sH0XP4Bj+8UUt+olWzlzS0jsGz5A4uFlTYZSqOo3TOGNVFpWN9tR4XswT/3rhk1nOs7L+3NJ6LFqYqXxIp30uXx4QEoljZY0oKKsnZ3SyoI+mzsG+7nBcMIijecXEj645Oq2pv9jHmf/Z3FHf/oFB3P7A8xblPDO0JTxkmnJSbLvL+mQLsAXkCLT8OZAtIFtgtgUoCsllmRuJn1kKYbaC7g5pWD64pHRcVDhyCkooQjftiP6Z6OhGqZJcelIsDhGDgwOVtjYX04aqTQdHxvGnDysxMkbc20RRZ05h9EhH2WFUVGhfIRil0u1cvt0UPMz+PsxxrV2OlTaAKecOHjqqveHPZz3c3RAeFY2iiskoti6dXB0WoKJcmu+ELuOrtuHI/Gdbd2P1kjTVUyZ7z1j4ji6q5mNBcuYpi6gKopcFzUieysloAdmBPhnvqnxNsgWMtICXuyt+deV63P/0O0ZqUt+d9bc3ao5uqu+l/ehtN1+BjORYcMXAuOgw9PQNwM3NDW+8/5kANLjsgulkK0txnBVXZEORUOZ7Nq/rPDmbcMce/HDkgGJqGl9/2JuNDTfchWWZSbji/FPpoWV25TONnfU80d6lGzSA+ZpjoiNRWlahdQSGPHgHEMOMHs5zVLAXjhWInxOgdaJznLS3s8XpK7PmaCXt6ZKKWkmgXobOmu/trTdcLCR1GqpD7idbQBcLyBAOXawkt5EtMA8tsG5FJmGV/SS58iHCbTo46EcRpstEkuOj8NX3u1Fb3wQ/Hy+CGHjj2kvW4xraLFlaCfdsCc4z26i8zxWLVp2qk7k6yLH9escB7M8u1Km9IY24GubW3cd06hod6j+n88yKwkNDUNs0k99a2wARwb7wcnOBD7HSsJgi6q5tPopzzG98zqlLFW/N8nowp8gs42oa1NqKEpQpMi+LbAGpLWDxEWhOCrGiL4SYotCneBVTt6XrYmzYfL3u+XzthtxzOzsrBNAyaFW99qQqQz7zjS1UutvDA/WNTYZ0V9vn5Xc+xUdffI/ahmakEUwjLiZSiEIZcu1qB5DwoJeLHRyp6t8AQTnMLRHuY/jh6+/1mgYX3ZHCzn0DQ/jn8x8JUBFdJsQJfm7k6HZTMht/3zUlFbp5+RBOpV4XlVR50RWtVE2voq4ZVgvsYO/mi/BATxwvNj/jRFxU2JTdzfX7VlCiHeqjk5FFbBQfFUrwDW+LiEDz54/viywnpwUs3oFms9tQooSYovihF1uvmHOUSpfi2hWvUo1jaXq5hCnLfL3nhlw3JxKWVurmZBhyv4NDg9HQ1KzRydFXZy9BNsKCA/DWXfcjPTmOooTWwh8vQ65d37GNbe9CP3GXLPHFm7vFe6AwdE4N/cQyEZ+IsmLdo8r+FO2Xws5j44PYfVh32ER+WR1R0LnBjR787MmZ9nRzFhIDvejVxnoBDhw4iJioCNQ1TVdQ1GYnV2dHODrYoaVjsrDM+M8sHxX17YSfj0JeUbm27pKf+8/Lm/Ha43+hOdoLjrQU90DbRTAGniEcliQvPfpn2BKMSxbZAlJbQFzPVILZ8tPb8PCwqJoVzpTYekWdpETK7OzsMErLW8rJVRINZXFqORowH++5od+hwtIqtFHkTRdZuTAJXHSlnyKGfZSVz69T+8RWwIwFA4Mzv8fZRZXw8fZES6vuS+lzzcWTsNWJsRHCfebvOX/OT5R7Hu5pGX/0B0cm4O1D0B09HOiKmgZJ7OziaIdTlyXjuz25c936qfP8PWfYB2/dvZN0gA0tkw7zoqwMVDf3oEuHAixBfp4CVKO6YWYVRsVAZY29iI6JQXUlJX+aCTLQRZH2iup6cLU9DoqY+rN+NL9U8nLqCnvr+trb1w8XOOraXNJ2cvRZUvOaXbnFO9Bmt5A8AdkC89QCKXHhggPBUaa5hPlo7/zVpVqbsWMzODQ86VyTQ80Odm1dA15+9zOUlNdo7avrSYZvWKpUNbQh1N+LHB31S7rFZuR+VrXZeEAGHdqpeljt+3Cq4nj1xnVqz4lxMCMhQi8HWtuYueW6RfgTooLQTSsampxnHoNZSKopkp2aFIMjx8yDA/5/N10qOM+arpkLzlhREKqGHgLCgnw1NTP4OBdP4QcVS5Lb7n8Wzz14q5BMbEnzkudy8llAdqBPvnsqX5FsAVEs8P2ebJ2xp339g3OOydEYXmrmzfvn1vHE3HDaqkXYffAYXnvvC4F6bk5FGhoE+vvgtpuu0HDW/If/+dJXwiRC/D3h4eqI6BBfnLMyRXhIKW8ZxHeFXT9PktIJOaPQjNjJjv5xrLrs97Ab60V/WwNyD+5GX+9sqrK4yBA8/+Af4EwV/KQSLyqvzhFWLtZhCkmNC8Ox47rjeuvb+wXMLZexNqV4ebji3mc+xDU1zbjknJWUlOsgDM9Oc019K1oJdvKXx96kCpsOaGnvRhDBWv7f9RdgeWa8aNO0s7U8FyKXYDXvfvo9rrvkbNGuU1YkW0CdBSzv069ulvIx2QKyBUxugZT4CJ24oJnT+eE7bjB4fuxYr1qSLmw/7c/GM69uJmepVid90eHBOGPNUqQmxmBhWrwkOFydJjJHo9qmDlRSBJqj+WW1LVOt86gAyOXnLMG9W1rgToVL/OwmYNNdi5q6ekREhGOceKtt7OzRZu2P3jG7qX6m2KkV0DsugEMsMs6NhU0fFRs58CNamqejuMEBPpI5z730UPa3Zz9DdWM73MkJDKLEsHoTOKkdelbTa+vqR6SvM8R2oPl7sWzVGjRUlcDN3QMN9fVwcnSEp7cXxkdH0NDWjZHufrz6v+/x+fYDWJwaBw83J/x4MJ8w3u3Ec25LKz4jGKBVHxbWx2wiYkoTJQNbmjg7OqCJ+Ot5tcvB3rTfGUuzhTwfaS0gO9DS2lfWLlvghLXAAEEsmtvnTrbiQgr3P/027r7lSnh7uhl1vauWZmDF4jR8+8M+vPj2pxRJm3bW1Cl+8K+/QUxkqLpTFnNslOyzZdcxtdH8rfsKwBuLany1LTt/6hp8vVwREp+B7jFH9JjYkRbmJjjTAXBeeCliXQkScHALairKERJIbBYSydHiWvADBkt37yDsKdqZmZ6Ivp4edBJ9XnPb3J9NfaeWGB1MFQl1e3hT1r3A1hEZacng6G9unu7Jl8o6VPfj46JR55AIUEInX6mj/wQmyAnuIARQ8/7NGCEqSIW0dvTg6x8PK94Kr+w8K0tGYqSoxUVGqGqjlPSFynPXdZ+d54jQQCrhnShacrKuY8vt5p8FrO8jsfTL7uwU94eSky24wEJXl2LJ1NItIN78FIlVjEedT8LX7ezsjB764zvfhDPzxyiSqa94ursIUb88oqlSTQBU1VXX1IbVi1MQ4Oulekrv9xwpiyUqqk3nnYYggmWUUpZ/j4akL29Pd4o8J6gdgzPxeVm7t1e3IhxqlYhwsIOihJu3HSEmB8M/e/0Dw2isrUZ3QwXiw3zRPT65XC/C9PRW0UMBTdegBKSmJKBnhDh3bd3h7WILR6I97KVS5HZcytAA+W5/Id7Ysg9NbT2IoWt87fO9qKHIvULYOW3u6EVn3wgGxxYgmmAdQb4eaG4V5+8DwxF6+weItUP/70pHzwBaOvvQStHojMQINLe0GeTAMbxp4WkXIDQ6AV3uqYTkUcLL0/dCIQGOI2hrnV7JUBzX9upI0dgNpy7S1kSvc9/+eBBfbNujVx+pGyfEhOH6S8/BmqVp4DLn5hYPouqU5eS1wAJypCzek6qkLGcxhZ2p4OBgVFdXi6n2hNA1X1k4+Lp9fX1RV6ca5zshbptRk7SnktVDQ0MG6+BI312Pv448DbhQTor715+ux5olqQaPoa0jl9/esu0nvPLu50R7N5MRYfmiVJxz2nIkx0cjPCRghhpHWu52d3dHY2PjjOOmftPQ2oVr7noVCgo0Y8fnSKybqxMiYhJQO+aDMRjmsBo7D+X+Ub72CHS3o2qKY/jLev0rEraQY/zrB99BR0//lFr+XHFyqjZxJJiCO8FeBoipqbXNuIBIekI4mBlGDEmJ9MPRY5MrC5r0OVG0NGPJCkzYuQhu8piVPQaIPaJz3FlTl6nj4Z5WOPLdRxganDv3QNGJIR2XrV+F6y46nRLsjHcu+4lt58Jf3o2unj7FEGZ99aGH6XaC33zz5sNwd53bhqaYbEREhCmGkccwkwXM/8trpguXh5UtIFtANwv4eXvgtus2amy8gP78pydEajxv7AkbeuC98Ow1+OTVR3DXrdfPiHLvPZSLex59EcfLqowdRtT+7Ph9tiMHN/3jLfzlqY9Fc555kkO0dM5JYQcPHIBvfzF8bCep2kS9AD2VlbcMYXdpD8YGevDjkRJiqNAvivvx9iMznGcefi7nmdsMMMZ3whYTNk7ISInjQwaLKuTBYEXUMa+iGZlpSYTJn+SfV6fLxtoKtXbxBN0JRi1tDeM+OjnPrKuqYxyxCUnq1Go8xtf3xic/4PaHXkVpVYPGdrqe4AeARZR3YCnCRZ/sKVDi5uJkKVOS53GSW0B2oE/yGyxfnmwBMSxQrYUe7tl//I6SlyjZTGJhKMrG9Wvx8auP4oKzTpka7cqNZwmJhFMHLGAnu7gGz2/eKSQMKsMQxJ7ascIyFOz7Hv59BQgdr0SQbTcC3awR7znpwPq5WiPMwwox7sOI9RiFp5Nmh87YufFiZmVRNu777xZ88kO2Xup4VdBQ6SKu5+6+QVQ16cZZrmkcrjYoprATnZak2akPDJy5YqLv2HaUXGqIHCkox53EztFsZMSex/7Try4TYFaGzEPsPvywwrjs4nL9Mexiz0XWNz8sIEM45sd9nrpKGcIhQzimPgx67AzTH6Y7H30F+44WTfWyplyC+269GutWZk4dM+XOZ9/8SJUH/ZGZqj4KZm4IBzNu1DZ3oLy2VXhtJZjC4cJq1P9c1EMKW4UFeKG+a4Twt+NUht0XHZ1dAhuBYqxFizJROSg+LtPFegR95fsJvzwJowj0cady114CV/KtV5xGFQGd0EisEQw/YYf3YH4lfnHecqFKIEeRGwnm8puH3lNM0+BXf1cbKuWuHzaYB3MnSEynBFCExHA/FB8voSqI1oRnnpgqOhJAjCJRsfGodUo3+FoZcx5o04Gftn1pkI5TFifjoduvMaivcqf3P9+O/7z8kfIhk+9zNNyB8OMdlFzqRK9fvfEvi2DgkCEcJv8omHRA44FQJp2uPJhsAdkC5rAAYyb//Zdf4u1Pt6OHCkxwiePE6FAszUgwx3SEMS84ezoKbbZJaBnYmpbowwO9hU25WXN7jxCZ3vLjMew9Jm4paFcXR4x3TOLdG5pmO5LdXZRwZy+uA+1rNwDbnlqUK0U0GffNG8sN978pvDJbi7Lweab0a+vqEw3i4uHlTQ8OPjiUox8TBpf9lkIKKpuwwN4dTCTHEfqQsCAqM21F19xPlHxUgTPC8FEHhscx5OgFDooYUoEwPjLY8MGVel66YS2OEffy9z8dUTpq2l0uq34wp1gYdJDw8FV1TYinRGRZZAtIaQFpfjWknLGsW7aAbAGzWICjaNddfIZZxj6ZBvUjSjre4sP98Yt7XqfS54YneKrahR9utMnxkgosXuyFlnEP9A7NXWFSmy7Fuc7yo6ijSLsmUXWcFe227tPPyVX00/ZaXDVJe5hJeOijece1NZ1xrpmi42nx4ThWLC6WnhllFML7TUpMLF09vXDlHH6lNoq2ur7WdY1h8ZmX4Mj3H2NgQPu9V9UZSKXKxRBmtTp/3QqzOdCLibLucO70vb7j15fJzrMYN1bWMacFZAz0nCaSG8gWkC0gW0B8C3i5O+OGC1aIqtjRce4EqoMHDyPQaSZHsDGTCCRGI0uT6pYepCfH6DWtksoGuDg56NXHmMaBFCm3WWD8QwwXvElfvFzvqbzw3jeoqp+9SqG3IuqwLCsJz//rNkO6GtUnOS5CcJ4VCae+lPB87qlLjdIpd5YtoKsFZAdaV0vJ7WQLyBaQLSCyBTackiZEo8VSqysHc+GxbEQQFZoY0mwdTLRohicBijEHVR2cVFhQ1Yb01ARkpVExEh2EC97YGshhrYP6WU1sgrMwCuPtFu46in0/bp+lf64DnERYUjlZqGautrqcz6Ko/1tP/Q1//jkCHBcVAi5soo6JhDnmM1NiERkaAM6lUCdc4TSYeOAVlHtcupx55hkaxcLOc2FZDUFjpnuvXUb8zyJQ9E1rlPdkC2i2gAzh0Gwb+YxsAdkCsgUktQA7CdecuwyPv7VNlHG41DXTo41SAqM26ezqRvHRfXCJXoqRMSUPRFsnDecGx23glXomAux60VB6jMooT2KfNTQ36eGCiklIR1piNJixhB03TjRTFWvinI4JD0BhuemSjEcm1DuOqnPT9t7D0RrluT9pa6L13J4jRVi3wvBERlXlcZEh4G3T+jVTp8apAM7h3BJ89NVOwikXCcl9IUF+yCY2EBauZulAXPV29F1gNhaGio1TEmxZVSMl3HbAx8uNiDIXoL2LaBLH+oXS8fy+oLRmagzFzrmnLVPsyq+yBSS3gOxAS25ieQDZArIFZAtotsDZK5Lx7tcHppLuNLec+0wbVcPz8PREdz+nrWmXnt4+hAzVwNYrHPXdMxP8tPecfXacirnUD1MZ97BVCFqwR3B8Zrcy35HCmna4ePqin/ipUynhLJeS3hTCEc2kmJAp/HMEFeSprJWm+A5HW9OoguOIWxTaRm0VU9DrlWkKa49+R87kCJrJ7q0tzXr1V24cFWYclZ6yLk37jJFenB4vbIo2uw/l4ZEXPhCqSNY2tCkOq31tJc5zZenrH1R+O2Ofi8XIIlvAVBYw/hHYVDOVx5EtIFtAtsBJaAF24K7dIE7kLCqEynzr4DwrzFhYVILcvd8hxm0IUU49iCX+6Fj3EaPgHcGhYQr1FvXKBWgYK1vX3i9QH3r7B8Ldxx+uXr6wc3ASoARZKfFo7x9HUmIcosICRZ//ouWr0OiUTM6zo8G6nazH0NTYQI5zq1HOM09ATAiHPhe0clEK3vu/u7BuVZY+3bS2DfD1nFFkSWtj+aRsAREsIEegRTCirEK2gGwB2QLGWGDdskS89vkeMMWdMeLiZE/dp8th66KLMaT79uyZ0dSbyiIHJS6Bm5MtCN2AwZFxVLTqxhYyYQSrxIxJSPSmp39IqBSorP5YWROcPXyQVzmZVFda0ypAYVKS4mFrNYFuYswoq9IfL8z4XQbIpKcmY4GzL6qGPYwh3RCmXEaEJytPO5twz9swpkINqHxNuux/tycH/j4e+M0VZ9O8phlDdOlrbBvGR//zT9djWWYiHnruPYqoa4cdzTXexrNXWQT381zzlM+fPBaQI9Anz72Ur0S2gGyBE9QCvLSflWB85HbBAnF+0ts6uuBIkc7ixgEUNgwIzjPjbWP8HOBLxUq05dp1W/siMsTvhLsTg8OjM+bMOPLj1S3Ir2yFm5v7jHO6vFmYkQq/hefDO+tC1NnFoXbEUzQntWLIC8lpmbpMY84273y+Ex9+vXvOdlI12HD6Mvz5V5carX7N0jSjdcgKZAvoYwFxfm31GVFuK1tAtoBsAdkCMyzA0bf9uRUzjhnyxtiEQMWYDvZ2aOqbGZHsHBhDafMgWnpGYUVh6YQAR6gj3xim5DhPKmhyMklX3xDSEmN0vqSM1EQ0OcRhjFg2pIrsGlP+XPVCXt68DdqwxartxXw/Srj0ImLTMFa4AqEssgVMaQEZwmFKa8tjyRaQLSBbQI0FxoipoNfIgio+Hi6oaBSHASMtPR3lhAXWJMOjEyii6LSbgzVCPG2IQcFKiFYD43DpLsax0mpNXdUeZ+y2m6sLFXeZgLPdBDF5dFB575nJY2o7muhgbTNVcCQJCqHqdsNcRXB24pubixOioyJg5+KJ+okAjInAsqHp8sI8rLDvy/2aTut9vJ8+e6/+73ucvzYTH2/5DsFB/kiIjcTh7HxiLemGr7cXrtp0Lj04iRtz23M4H/946m10ds9mRtH3IsaV+ez07Sy3ly1ggAVkB9oAo8ldZAvIFpAtIKYFWjt7jcaABvp6IL9ac0VAfeZrZU8FWXSAUncPjoE3Fk8na3SS0+3u6QU35xa0d/fpNGRqXCiONw2htke5vQOS4rzBpcdrmzrApbaHVCAWOikXuVErsZxkLsxCUHgnco5mY2R0EvYRS9RtY0GL0ThGf1I1P3eINhvb4UmHXjSFpGgzwTgKi4qxVwUPrxgjOSGaOLWTFG9FeX1t87eiOM88mRbitWaeaFlkC5jKAuI+Tppq1vI4sgVkC8gWOMks4OhgZ9QViRWAs7OzReeI/nRgHf1jFI12oOIgdmDGi7nEkSjHkuOjUEzOMyfaqUppUx+aBmywLC0GQ13NiA/zVW1i8vfxMREoru9FaacNFi5ZgvAQitSuOh+9/ssxwM6zOhHrxijp7rUWpwy3kkrwKkillhWM/7zwlnJzo/cnyC6daji5DVEc4OdF9ISRhnSV+8gWMNgCGr7xBuuTO8oWkC0gW0C2gJ4W8KdiEcM6OJ3a1I4RllQMyVq6AqUdhumq6RhGtN2YUJRkcHAI9lRa3Irc46GhIaFABkdsBwaHhep04zZOKGnUvnTv7eaIouJiwTZcIMaKmCKC/dzh4miHwkrD+Y/1tVNsVBgcHBxgZe8C9E3OuaHPGpGpK1Dcof7PKD1LwNt+GCW1rYgJoWj6qAOae8dFwUTbShT6CvZ2RkO5euvkFZbgv29sxs3XbjLqGto7e/DjgWP4ZsdB1DSIU0r89P/f3nmAx1Wdef+vMpJmRtKo92rJsi25dzC40TF9IRAIGxwIMd0fJLubwG6yeUhI8mw2Cckmm7LwELIBlpiEFiAmBoyNcZUtN1mWLFnF6r2N+nfOlUeakUeae6dZo/kfP9dzy6m/ozvz3ve+533XLLPfaZ4lAQ8SsH/ne7BBVk0CJEACJGBLoPBUlTAHcE5otdRUWtWAkcBQl4SbrMxU1PfInwXn7BCyhS/pIyeqxiMhtloLyBatdND5Lju2EUkwDONA46i9ceGRo1iYn4eSMxUwCyH8qQf+AYdP1+KzojMum79YGE72GRoZizKhEQfGx9PRMyA07QNIjtChttNWh55h6MGpqmZYHN8dOzMq7Meb9IiPDkfLgB7tZtsyk7U98bxeSM+BXTUTT7t8XJARjaNFR6asZ3/hMWz+4i2Qbym0Jmnn/MuX38Innxeh3cZcR2tNtvmXipDg//TQF9HbY20CZJuHRyTgCQIeeo71RFdZJwmQAAnMTAKHhQDtasrPSXVJeF6+fAl6TXno7HNOeA4LGkZVZeW48OzqgGT5Cb6Ji06UKMKzvLRj9yF8c/M1WL9stjz0SDIa9cjLyUS5IjzbNiHF35Nnm9DaJMKFC3OEIOG0JEUEY5wdNaAIz7a5R48a23txQviabqytQrp2z3hKJcnBLcIH9A571Tt9riAzGkVHDsMs3hRMlW68Zp1m4bmvfwBvbf8MX37yR+Jzj1uFZ9nX/NlZMAif0kwk4G0C1EB7mzjbIwESIAErAjI6XtcU4Ymtsk65WzaF/eqUBc9fNOtiMXR+QaCa/NZ5InVD6K4tRnO7Y62ydTmH+0GTC0aFJ8vx+LO/w7LFBQ6rcTZDuF6PSJNJyMetMEVF40TthWGkW7v6kJfWg9rmTlQK05cBFQFBhsScV9XUIi8jESUt2vRYTYjFkhWrULjfdS8cJqNw/dbTiP37SlUh0uqFY9f+Y/j3n/4end29qup3lEkvXNXlZSYo2eQCU72YnwOHDuLfnuvEEw/e46g4r5OAWwlQgHYrTlZGAiRAAtoI7Co8jfd2H9dWaELuBXkZOH72QtdqE7JNeWgMliYWtr6fpyxw/mKksHnurD6J1k73CEmWNhOjDTjw+W7Lod3PE6VVuG7tUmxcMQc79p+ym8eVk/VNLcKlXotSxeIFxkmrKqkezTNpBjsXevsGUXS6BjFJ6RDWIKpTh/DH3RGSgxXX58F87jiOHj6kuqx1xqQYI4a6GnG2Tr0t+Ue79uHGa9ZbVzPpfm1Di3BR97JbhGejIQwZCRE4UnQU++orLmjzSNFx5GSl4Yar111wjSdIwFMEtD36eqoXrJcESIAE/JDAiTPn8J1fv+OS/fPsjASXTDck9kARwbB7Mi8SDuZFBqt2t/Asm4zVqxPmG1s68C/ClCM5zkmbCAfjk5flAsZeTK4NV1GF3SzSDCQhxLkHj5p2oe2OLUBcfJzduh2dDBvpwdkqi5W2o9yj1w8fKxYBV9T1979+/yY6ulx/IxEZYUBCpA6HjxSJNwGT2433mi98O6BuVMxFAs4RoADtHDeWIgESIAGXCbgaLES6gmvqGsQxEW7albRk6SLUdzqziHEEgZ3VrjRtt2xOciQO7t9v99rEk2eq6hQPH5csnDXxktuOZVhv3aBnFqmdrGxCtpNe6aQP7jkLlmsep4wkebqsXHO51rYOPPLPz475v7ZXQacQmn/4q1fx4S7nNOPWdebnCu18a63wxFJifdru/qt/ft/ueZ4kAU8RCPqOSJ6qvLOzE3/+85+xa9cunDt3Djk5OSgvL8cLL7yAz4Szdss2b948xZZpsn60tbnXaby044qMjER7u3uidk3W7+l4XoZ/HRb+Pqd6YxFONgAAKhlJREFUkp+O/Xa1T3LcRqMR8m/S31JwcLDwUuCMcOTbpHQ6neJ6rKtr3HPCdBtRuCEUZhEg5Gxts1OeJPKyklDT7JpgJ78Po02RCAuPEqYEk2v47LGbpe/AcWFG4c6ULEwLigv3wlFkuSDR77s2XYav3XUNZBjn5HgTPvjsuHsXMVoNrEGYcqSnp6HLbPEmYnXRxV2TPgidg9r9gKeYgrD3b29obl0qcjPihTeQVu2/rfUiCqNOJ/xgL7IfVOXRf/s5PtlbpLlP1gVk+PNFc9Jx4ngRelRqvKVwb4oMVyIoyr+N6ZCioqKmQzfYBw8R8Ohf2Y4dOzB79mxs2bJF6X5hYSGys7PxxBNPKNv111+vCDXR0U4+fnsICqslARIgAW8QiI+OwJNfuhKv/+hBfOv+67BECA2TJWlGMDGdPdeEgszYiac1HcsH6vqGBphFeG4tKVnfj0PHHGsGtdQp80aHjTgUnmU+GfjD3DeA2KgIeYj0xGh8e8vNiBNMLWmCEw/Laac/uxoqobMzD05XeL5gaU0rUkK1P9wbhrWXsfTVYHLO9EOWb2mdXPm0ftUiSxOqP0OEQG5JC+dkIjEyCPv27UNvrzazjB/9/AVs+uLDuPtr/4R3/vaJpUp+koBHCIz/1Xqg+vXr1yM8XDieF0lqg6QmWWo75CYd67/99tt46KGHbFqWGkJrjVFISIhS1iaTiweyfZlkn/wtSW2kfLqXP5r+lCzj9tc597f5ln/b8q2DvNd9Yc6jTTpcd9lCZfv00GnsOnwaH35+Et/ZchP+8lEhahpa8fL3HsCx0hr8z58/xZGSUbOJqAgjzjY4L0RZvgNyC5agtEXDd4JQYbbUlFmKu/Wz6myFqvqk4Lz1vptt5veqS+bjxg3LUVtXD6mFlNp96V9bCtI1DW1465Mj2P75CadtzlNSklDS5Jm3OWXn2pAo/OB19Kl/kGkaisCCRUtw9EihKmbWmUqqWxERLt7KdWl/g3H42CkMiMA/BoPeuko0trTjrQ/32JxzdDB3VpoIi74fS5csVh6K9u/73FGRKa83ijcFcnv7g49x66Yrp8zLiyTgCoEA8Spf/d3qZEunT5/Gn/70J2zdunXMVEOadbS0tOCmm26yqVVqreVmSVlZWbjvvvssh277lD+u/vhaWwrPXphyt82TOyvinLuT5vSvS/6tSwHaV+9z6douXHgf2H/sDNKTYpAUN/o6uPBkBe586nmkJcagS3hv6Oie2nevo5laMH8e6gOShNbXUU7b69khTZCu5NyZQoKD0FJ+RFWVSfHR+PyN523yyjl3pCCoFOYyv9u2A+/uPCw8RGjTcK5cvRrHzrbYtOnOg2UFs3CiToNLDtH4nMRQfPTGi5q7kRwbiZqyY0KL36+5rCzw4i+eww3XbBgr2yVc1V1x5xOoqVMfXXDFwtk4dOgAerpdX2w41hGrneuuXIv/ef774iHLo7pCqxZtd6XihmnmEvD47J44cQLvvPOOommWPhstac+ePbj//vsth2OfGzduhNysU0VFhfWhy/tSkEpNTUV1dbXLdflaBVKjPyjC6fqbRlKOOz4+HjU1Nb42ZS73NzQ0VHnj43JFPlaB/L4xCR++dXV1Ptbz8e62CVktOUrcs+Yu8X01asttEs4gtt5zJbbvL8W5s+qFlfFabfeColIx3KZdq9oZ6H77ThlKukWlTJ6SEH3Bd7h84ynnvbFxci7y/eODt1yCL127DDv2FeMX//exCBWubvz1rZ4R9CwzMtgvBfogy6Gqz/62WlX5rDPlpkbj+JFDLj1cyjcA8je0r78fL//pr/hgV5Em4TkrLRGf7d7l0d+i9z7cidVX34HHv3oPrli72hqBV/alApBp5hLwqABdXFyM7du349FHHxWvegxjFDs6OpT9mJiYsXPcIQESIAEScExA2ovetG4hNl0+H3/bW4Kq+jZ09/Zjd1E52rq0aVRla6ED8vvY6LjhCTnCA13TfE+oTjnUB6s3I8lOTbRXhepzhrAQ3LB2IbJSYvHTP+7AmZoLPZlIbxVJ8bHKm4zEpEScrNPOV3WHREbpwQIYt+FWU7a8L0ZxQzg8oo6dUYy7pa7KJeFZ9utb3/sZ5uRm4e33PxYLN4ewfPkK1Io3CIMqQtLPy5FmGwe88ja0rb0Tl61eqgYl85CAJgIeFaCl2YbUdj7//PNKp5YuXYqrr74a9fX1SE5O1tRRZiYBEiABEhgnIG18r7tk7tiJR25fg9NVjXjyZ28rtqRjFxztiHqcSQMj2jSljtoIEsJqTWWFo2xj13ceOI4v3bwO8TGu+X+en5uK5//pTvzrr95CYXGVUr+wBFGEw36deIPROur3uKXO/Q8MY4M5v1Ne2wZDXLgwpxEdUJlCg4XZiowjrtI5SJxJj5NFrr+VOXbyNORmSfv27cXyZctwtNSxb+n+3k6vCM+yb7HRJoSKN5BMJOBuAh4VoJ955hm7/ZWeOeTGRAIkQAIk4B4CIbogFMxKwoZlOfhw/7hg47B23bhpncO8VhmCA9RpPK2KTLmbkxSJQ3uPTpnH+mJ7Z4/wuBFpfUr1fv/gaN9DgkcfHqQ2+sf/73b87i+78eoH+0VUu3RUdkmhS13QENUNO8gYFiLcjGoQnmV16eEDKFeh9bU0HRbgnM2zpfxUn4HCPFJN6h/RIT0tFVXVnjepK6+swfs7duHajZep6RrzkIBqAs6pHlRXz4wkQAIkQALeIiAXCO86otKI+Hynqk47EUZctNNwrtKtw2o6V6GpvtzMZKciMA4OjeB771Rie2G1sL8dsWnzgVvW4O4b16F5ULtJi01FTh5YPERpKd7ZcNZhdqPBiFWXrMHq9VfBGBXrML/TGVT6JKiqbUJiYpLTzWgt+J0f/hLV5+q1FmN+EpiSgEc10FO2zIskQAIkQAJuJ/CTrTfh4Kla/O5Nde7EwoUrM81+JYSNg0pZSdX4pK1xS1OrqryWTHdtutyyq+nzo+I2FNf2ortrGOV1x3HP+lxER4QpwvSHh6twpKoL5ikWFeakRENq+xtautDc6V6b6G7zADITgAYVnuVMoQGIDAvAAaEx14eFwTqUdUREOLJn5SBMb0BAaATKGs0oaZUPC2Zkxs6FLuQzDIjFf+5OVVXyoUqdXq6tTdt8u9JX6TNcL4LtMJGAOwlQgHYnTdZFAiRAAheRgHThNjs9XvHvW1XXoiww7OrtQ6VYaDhZijRFo8UJOTA+Ngp1La77oJb9mpsSjn1ntXm4WD4/d7IhTXle2jfLVNUZiB4RPObfXz2E+RlROFnVilPVk3OSZaLDQ9E0EiW8oohK9BFYmDyIsso6SMHXXckUMigEaNuf5jBhGZFuGsHQYL/i31r6YJYhwKUlc/KCdUgxhaDy1GHIoGShsRmoaTWjSvqTVsy2bc1Qzjb3oWDxChzet9tdXR6rJ9woohv2Op7HROGSsbTs5Fg5T+9EGA0IFgscmUjAnQRs71J31sy6SIAESIAELgqBrOQYfONL65WAIcfP1OE//vgJ6prtC7vBehHsSqMAnWXsQWOt9N7hejKEBuP0yROaKkoQCwdlGHRnUm7CuM13c6+UpqMR2DAsAu+M/hzqhR3y7KxUdA8FITxIBGLpM2NE/Gtq60aycJ1X1nFeAheSeFm7DoFRaUgW5tKBPY2oaXI9bHy58AYyOzUOtd06dPYNIzcGKKk4hyLRR3upW4QWPy22kLi5qJO23U22AvPEMtLuOzwq3uZ0UloW6qorbM45c9DV3Y2I4H4kJSWhoq7DbsCasNAQJAkf1JVlzrTgXJnW9g7c+cDX8dy/bsWSBfOcq4SlSGACAa8EUpnQpuZDT/mBrqx0rw2f5oFdhAL0A+35RSsXYVqnbJJ+oF33ODAl4Gl4MUy80jebzXhn9wn89NVPx3p40+UFuOnyfPQIjWmHCCIiTRF6hPJ0OCQCv/zIsY1oiqEPHfVnUd0weSjnscasdgKFsDl83ubj63degi7hdu+/3zqo5MiJBo4UHbPKrW53dlYyfvb0A4gMH3eRqsYPtKx9y+9Po7X7QrcVuZF9aOgLEdEAzwvJE7oiDFfEP/vX0iOHcaa8EpYFihOKaj4MFmYt0rTFXfVZOlCQl42KzmCkRYiRtJUjWGjSK/rjkRnRj8BBM3qDI9E/FICg2kLseu//LMUUe/PFK1bDKEKAjwwPwdzVjvq6GmTMmoOeET3CRrpxvHAv4hOSFLd/YbpAtPeOCA8YOvFwIgMaDSPKqMOpklPo7HT9QWOsYxp2khPj8fb//kKJUqqhmNNZs7KynC7LgtOfADXQ03+O2EMSIAEScIpAttBE375hIXRC67h6QSZS40yIihjXwFoqLWtQp4IOHTFrFp5lG5uvW6wI0HlpsVgyO0kR4KsaOnDg1Dl0dzdYuqHp83RFLSrPNWJ+XqamcjLzfWsS8ZO/XfgwXdoxtVZ7MuFZ1lnVEYiszAycqagUfpHta4tlPrVpUC5wnLDIUW3ZqfJ1DIzaKFd3igeBoFnAeVPoik7pdcTi7m0EupgluOb+PLSe3ouaM8XInF2A4nqReSz0dygCwmeJc9J8ZUAR9sNnrUabCJ8uU0y4Ht0jvYiOj0BDyT7U1dYq5y/mfzIq6YBwrSuDqTGRgKsEKEC7SpDlSYAESGCaEpBu7eTmKEltoaNkCB7CyJA2W9+FsxKwbnEWNojNEKYba0LuP3bbSuW4uKwav319O/YeKRm7rnYnRkTDcybFGD3z01fTFYg5s9KVWAdxJiOKq5qd6Z7HymQmRqLJ7HiuZQcGhLeS8m4DMvOvQGnT0KjwPKFn1gtJpUeTvvPCs8zW0jlqSlLd2AlT2hKszp2Hzz/dMaEG7x7q9WHiYdIzc+/dkbC16UBA3Z00HXrKPpAACZAACXiEwAfHHXtESAxqx+GT5aralyYbeemx+O5XNmDT6tk2wvPECuaKqHQ//pfN+PpXbp54acpjuWAyxiTst51I4XJVnodSRUcQevUpMAtTiOmWdE4spAsZntqmWs0Y24W5UIl4lrjsqhvVZPdYnrNV51BV438mXR4D6ucVU4D28z8ADp8ESMC/CfT2D2PHSQcLAoWq8VRZpUNQUnCOjdTjL8/eiZ88fDXCQtRr+265ajVWLcpz2IYlw6K5WZAL0pxJ/cL7hqeTSSymm24p2BilqUuRYYFigad2+/TJGilv6hPeMMbfREyWzxPnjcITh0wnSs54onrW6YcEKED74aRzyCRAAiRgIaAPCcQXVjgIriEE41l5c4ULNdsFdAuEiUZ0uHwtHgi98KZx18YC/PqpG5TFiXLhmNa0af1y1UWShCs0Z1Npg+ta1anazo0ewsnyWsSbxhc4TpXfG9dSRYjwKrF4UEsKai5FU7PjtxNq65Th5wsWLVabfcp8wcKOWW72UkJCHJYtXYqkxISxy2mpqcibnYuSsoqxc9whAVcIaLubXGmJZUmABEiABKYlgWsKovDKvqYpg6O0DegQE2lAo3DnFiq8d1y5bBYevXWF4p2hrcusuCyLj3Itgl+4IUwVH2mK8I+3blCV114mex447OVz9lxP0mrkJC7GEASzs5/iVIVjDyfOtqW2XHRsHNocvGiwrks+KpWdUWeyY11uqn3pfaUvSLggDI9AV5d9t4pTlbe+Nr+gAN093ThdWobIyAjF80db26h3mKi4VJyqbESccfTvSacLhik6BjXCH3plvWvtWveB+/5NQLuKwL95cfQkQAIkMOMIhIpFhF9Zk4Bkkw6X5kQgO+5CbxTSsUR6SiLyM+Px8M0rlEWA0g5ZpiihhXZVeJb1nK1x7JFDajGvXbsUGcm2voxlebVp1awIoU1Xm1tbPqnR70EYOgJjYBxsEYFWHI9JWwtAQW4aIg3qzVeykkwo79BmOiGNXJYuX6q1aw7z5yaEuCw8y0YCdGHoGxllkJOXj4iYFOTPmwsZhfFcQwsGB4dgNI4+0BUsWIrSsw1obuvEsZKzDvvIDCSghgA10GooMQ8JkAAJzHACVwkttNxkGhE2z7XtA+gyD6FTbKeFm7tTJWW4Zmk6VueneYxEjRB8HKXUpFj881dvc5RtyusZsWF4cF0yXt3XaNcf9JSFHVyUNuWpge1oGRbu207th+KOzkEZrZf7Ui+FqfMDdPRcaGdtMoYgOTUNQz1tMBiMGBEPOQ1mITxfmNVhsx1BcQ7zaM1Q2TaMDZv+AR+9u01rUZv8MiBMY0sHFi1diVNnqpVQ7O1C05wtvH2UlNcoeQN0BqxatRpHTlWOlQ1jSO8xFtxxjQAFaNf4sTQJkAAJzDgCUrOcEjWu4VyWFY4RYSdt0Th7asDRkY5NQKTv5537j2PtigKXurF+bhRq2vrxVqH7XM1JE/E5+fNQOyKiw4j9wPm3wrDnj+jpuzBoi7OdT42LxEBACMLnrMcCUyGCdSEoPF46Vl1GWgrOCE8ggLBrd9FaITLE/Ystu4UZR1uzGYsXLcThI0Vj/da6UylC1csHPSk8W1K/CHFuEZ7ludKzF/qejnXS9aGlDX6SgIWAh15iWarnJwmQAAmQwEwg4GnhWTI6fLJCFaoDx8YFRlUFJsl0VX4UQoJHzVAmyaLpdFJUmBCexxeuDQcEIUkEr3FXkh5ODPOvxmCADh1BMWhJvQL18WuQmz5qzjI3I1YIz9pMNSbrW0iQ0FyXu88Dh2wn0hiK3DgdThaXYDhw/AFtsj7YO5+clIi41By0tnfZu+zw3OL8HId5mIEE1BCgBloNJeYhARIgARLwOIGaenXa4IVzstzSl4TIECzPisBnpRpW103RcmtXvwhpPSzMJsZ1U1EZQlNes9OmlEkIklITK807pEAXaEpFoLkNBwqLFNvmvLzZ6InMEUrsYejN9Tiwbz+Wr1yJJn0uegJs7dMDRFthWSuwyHgC+ogYVFW7qHY+39NMoxl7Cs/Z9NvVgzThCeTAnt1KNa3t3U5V1yHCgOujnPP/LQPv3HvblU61y0IkMJEABeiJRHhMAiRAAiRwUQj0mPtUtSujFq5fNX9SN2aqKjmfaV6ywW0CdO/AMCICBoW58bh2tT40C7nrkhDVLbTmwWEYDDJgJFC4YOuSwukI6qJWjPYkdBjLVhnREJaD2sBxLbJZb8Diy0yo1aVPOqzW4EQgORHpw9LW1z0CdPHxI5O25+yFwJFxU5YWsaBv2fJVqDpbhobGprEqDQYDFixYiCER9fLAgYNIT0+DtFuW50PDjOjs6UNHZw+c0T/n52YiJmr6BbgZGzx3fIoABWifmi52lgRIgARmLgG1kfLe23kIlyyZi42rF7gMw51RCWOMOgyMiJ9Va6sQYcbRG2BEb8Qi275GpdgeC01ynWGu7TlxZA40KtsFF+ycCBgeF1DtXFZ9Kjd6GJ8XuUcrb91oS2Pj2OHQ8DCOl1YhMiIKy5dn4nDhYQwODSEnb97Yoj+5AHBEaPSLSqpFOem7W90birFGJuxkpYkHDSYScBOB8fdMbqqQ1ZAACZAACZCAMwQevvs6VcVkkJYIo15V3qkySS8j7xx2TSizrj81KcbGfMP6mqf3dRgUbgBd9zedFRWIvTt3uL270RF6lJZdGAVQapOPldYiK68Ai5euEGMYF7Kl94xR4dk93THo1fkZd09rrGWmE6AGeqbPMMdHAiRAAj5CYMm8WUgUEQbrm9qm7PHVaxYjPydtyjyOLjZ2DuCbfypX3PQ5yqv2enOLCOSRrDa3e/MZW46isXfI5Up7B63V5y5XN1ZBv/DLbDDo0dNjPwpkde24GcdYITfvJCfEuLlGVufPBKiB9ufZ59hJgARIYBoRiIuJxEs/fAKP3HM9stMSRLAT25+osFAdvn7/LXj6oTtgVBm10N7w6jv68cQfS90qPMt26tvNCBaaYG+nyIBuVDY6tyhvYl/ru4awePEEc5OJmZw4losm5y90f71quzJ/ThYuXe6a60O1bTGffxCgBto/5pmjJAESIAGfICDDeX/xhsuVrbO7F7c8/Bz6+geUvj9+7w246YqVLo+ju28IMpiKQURgrG7tQ/t5za1OuG5bmhmOMHG+rr0f0v91qAjYUVTdjYMVjpetyWiNMQEdaBjxrqbTiG4Ihx5uS6EG57xcOOrAEGwfiBzld+f1X3z3MYSGjC/OdGfdrMs/CVCA9s9556hJgARIYNoTkHbOP336fhwV4ZdvuWKV7eI8F3qfZArBD27PVmp442ATXhMRCWX6qvCWsW7OaDRG5cT5//JTDMhN0ON4TTeKa3s9El3Quj2t+41CYA8WUVzcEfXQIEKRHz54QGsXHOYPDQlG07kqh/k8keH6DSspPHsCrJ/XSQHaz/8AOHwSIAESmM4EFuRlQm7uTIYQGalvNF2/MAY5CWHo7hvGpbn2XZxJbbXcblsWh/7BYTz2v2Vo67nQVGNWYjjqh6NExEZL7d75jA9oRZOVCjpVRJFMNomAJXW9yri09CLBAFSqdCeopd70+AgU7XdvYBa17S9bkKc2K/ORgGoCF+99iuouMiMJkAAJkAAJeIaANNdYlB4+qfA8sdUQYdLx83ty8OgVKViZHYFow7geKig2WwjP3v9ZrR2ORbwICmNJ6+dE4hvXpiI/Wbunkv5hL0v/lk576HPl4rkocPMDmIe6ymp9jMD4ne9jHWd3SYAESIAESOBiEJBC9OV5JmUbHhnBe0Ut2CZMQYaEz2cRG8WrSfpJTuk5iZNiYaRMkWFBWJtnX5PuqGPCOyDQUe0om1PXO3tG7didKuxkodjoSDx+3y3ITKX/ZycRstgUBChATwGHl0iABEiABEhgKgKBwl5j06JYrMiNxevlYmGieUDYIwMVnfLn1bPa3KCRIST3l+JYVetYFx/eIKIenteKy75pSYnDtSgqOq6liOq8LR09wg45RCwIHRX0VRd0IaMMzJOaFOdCDSxKApMToAA9ORteIQESIAESIAFVBBKMwCPzhR/o8+nDaj1eL4uwHLr9M2OgFGfPNeKY8CAivYeY9MG4fkEUlmSIjpxPcn9vuWPvITJ7TjSwb6dnhGdZf3y0EaVV3hOeZZsL5mYjLHTctEWeYyIBdxGgAO0ukqyHBEiABEiABM4TuDKtF9urDGjrH1+w6C44SQFNGDF34OH1SUiPCVHc7sWaRMhvs9mmiey4UJvjqQ6GelpF2Oypcrh2rbfvwkWXrtXouPTyhXMcZ2IOEnCSwLQXoEfEHR0W5t7wm4HCOX+AeLXl7nqdnAOvFgsKCoLcJFd/SsHBwX495/Lv3d+STqeDvNf98T6Xf+/+OG455/L7bbqM/e65fXjxhB7uju4X3NuEKwtisTpPqI3PJ3tznpWoXvsaFORZcaCzpw/RUSa0to1r6S1998SnDMITEW68qH8L8nfWH797PTGf07FOz94xbhix/OOb+FTtarUWAdLd9braL2+UDxE2aIODgxgeFh7//SjJccsvM3+c89DQUPT19fnRbI8OVX53yL9zf5xzKUD647ilECm36TL2RUK+/cmlXYo99OGmUOysFaGsB5330hEUMILbs9sR1BuE3HjbcU4251GGIOFyz3GI7+ITnjPfkHfkoIgyk5GW6rQAnZWWiIrqetXfY0Pi3v907xFsWL1QdRl3Z6Tw7G6i06s+5+/k6TUO9oYESIAESIAEph0B+fInO3IQt87qxqbMbrGs0Pm3f0MjAViWOIh1wgNIXLi6qHrJImiMoxRrDEJ7hzpbaUd1TXV9UDe1TbjUGqckxtpUERUZjkf+8Wa8+B/fQJrGBYFDMjQkEwl4iAAFaA+BZbUkQAIkQAIkYE1A2kV/f1Uz7sztxNyofoQE2grTgUK4vj6jGzGhthrjYKF5XplgxlfmtsMQrE0oTBFBVRyl5u4hRAuXb55OTe29SE9LmbSZS5bmY9t/fxs/+/bDiIkaFbbvve1KfOnWK5TFgAvnzZq0rL0LX7vnBnuneY4E3EJg2ptwuGWUrIQESIAESIAEpgGBmLBhbEztVbZGYYrx3QMxsAQveSC/A8vi+3BjVjdK23U42hyCBnMwbsrqQqrRVqhWO5TblsagrMGMiuapzbiGRIRFrWlWSqywOQ9ERW0zBlSU7zH3IzYhHQE1tXbX4Tx49yalCzL4yeObb8Urb32Ea9ctV85JE7x7brlCKffex/tVdbVNaNUnarRVFWQmElBBgAK0CkjMQgIkQAIkQALuJhCvH8LPL2/ERzV6nBYCsxSeZQoUZh95UQPK5mqb0tTjuzen41ef1GFP2eRmGhER4ejonPy6pR9hocFIjTfhqbs3YE5mgnJamkqUVDXigz3FePezE2Ltga1m3VJWflY1tGPbb76LT/Ycwhvv70KVcMVnSVIYt6Rr1i6H3CxJ2hPPyki2HDr8/MoXrkX+7EyH+ZiBBJwlQAHaWXIsRwIkQAIkQAJuILBBaKTl5qkUKsKVb70yBXMSW7HtUAs6zUNYkGpAdrxY2FjSgSvnmXDskAF1dYGQi+8mJmmbvGZRFh6/cy2iIwwTLyta6HlZiZDb5htX4f7vvYLWjgvHExYSjPXLcmEK1+OuGzfg+g2r8Nx/vYLF+Tlo7+yGXCjoKD2x+TZECu8ar73zsd2sOrGIdOOaxdj8hWvsXudJEnAXgQDxWmTyR0V3teJiPRUVFS7WYFtceuFITU1FZWWl7QU/OPJnLxzx8fGoqanxg1m2HaK/euHQ6/UwmUxCKKizBeIHR5N5ZJjpQw8PD4ec98bGca3mTB+zZXxq59w8MIza9n4kROhgDA1Cb/8w9CGjmt8fvPR3bN93ylLl2OeW2y7FHVcsHjt2tFN+rhl//OAQ9hytQG/fAGREwOhIPb58/Qpce8k8R8VVXT94tAQvbduOkvJqsQCyWykTbQrHNx/+Ii5fuUBVHZ7OlJWV5ekmWP9FJEAN9EWEz6ZJgARIgARIwJsEwoQ2OjtuPLaCRXiWfeg2X2gnrRNxyW9Zp00gzRa20U9vvkoRxgtP1WDrXesQonNvQJllC/IgtyPFFdjyzf9U/C3/7NuPYHZ2qjdxsi0/JkAB2o8nn0MnARIgARIgAQuB+zatxI2XzcfuojM4U9OCE+V10ItQ2IHSKNuJdNXKOZCbJ1NKYhziYkzo6e1Dekq8J5ti3SRgQ4ACtA0OHpAACZAACZCAfxLISYtDThqwsiBDMb341bbdaGnvURYFWq3vm1ZwcjJTsOO1n6Kzo12JPDqtOsfOzGgCFKBn9PRycCRAAiRAAiSgnYA+VIcn716vveBFKBEmtOTdYqEjEwl4kwD/4rxJm22RAAmQAAmQAAmQAAn4PAEK0D4/hRwACZAACZAACZAACZCANwlQgPYmbbZFAiRAAiRAAiRAAiTg8wQoQPv8FHIAJEACJEACJEACJEAC3iRAAdqbtNkWCZAACZAACZAACZCAzxOgAO3zU8gBkAAJkAAJkAAJkAAJeJMABWhv0mZbJEACJEACJEACJEACPk+AArTPTyEHQAIkQAIkQAIkQAIk4E0CFKC9SZttkQAJkAAJkAAJkAAJ+DwBCtA+P4UcAAmQAAmQAAmQAAmQgDcJUID2Jm22RQIkQAIkQAIkQAIk4PMEKED7/BRyACRAAiRAAiRAAiRAAt4kQAHam7TZFgmQAAmQAAmQAAmQgM8TCBgRyedHoXEAHR0d+MEPfoDvf//7Gksyu68SqKmpwUsvvYRvfetbvjoE9lsjgeLiYmzfvh2PPfaYxpLM7qsE9u/fj+PHj+O+++7z1SGw3xoJfPTRR2hubsbtt9+usSSzk4BrBPxSAy2fGcxms2vkWNqnCAwPD6O/v9+n+szOukaAc+4aP18sPTQ0hIGBAV/sOvvsJIHBwUHIjYkEvE3ALwVob0NmeyRAAiRAAiRAAiRAAjOHAAXomTOXHAkJkAAJkAAJkAAJkIAXCPilDbR8xVdSUoKCggIvIGYT04FAb28vKisrMWfOnOnQHfbBCwQ6OzvR0NCAnJwcL7TGJqYDgdbWVsh5z8jImA7dYR+8QKCxsVEx20lJSfFCa2yCBMYJ+KUAPT587pEACZAACZAACZAACZCANgI04dDGi7lJgARIgARIgARIgAT8nAAFaD//A+DwSYAESIAESIAESIAEtBEI1pbdd3P//e9/x+nTpxETE4MbbrgBBoMBJ0+exMcff6y4wLnjjjuQlJTkuwNkzy8gYG/ODx48iEOHDiEoKAhr165Fbm7uBeV4wjcJ9PX14c0330RLSwtmzZqFq6++emwg0vf7b3/7Wzz11FNj57jj+wQmm3PpC1re69Kt3c0336x87/v+aDkCSaCurg4ffPCB4pZ05cqVWLRokQLG3vc9iZGAJwn4hQa6trYWpaWl2LJlC+RCg927dyt+oN9++218+ctfxq233opXX33Vk5xZt5cJ2Jvz7u5u5YFp8+bNuPPOO/HGG2/AD+MIeXkmvNfc3r17ERcXp9znMnBORUXFWOPbtm1TBOuxE9yZEQTszXlVVRV27tyJe++9F5dddhlkHqaZQ+Ddd9/Fxo0bIb/H33vvPWUBob3v+5kzYo5kuhLwCwE6ODgYXV1dqK+vx7lz5xAWFqbsp6enK5rotLQ0SC8NdMY+Xf9MtffL3pyHhITgwQcfhLwmt/b2dgrQ2tFO2xJ6vR5ScJaeN6TGWc6xTJ9++iny8vIgrzPNLAL25vzo0aNYvHgxZFRCef26666bWYP289HIOS0vL4cUmuUbhsDAQOVen/gb7+eYOHwvEPALATo8PBxye+211xT3dfLHtK2tTRGeLYzlTSk1lEwzg4C9OdfpdIiIiFAelF5++WXlFb/88mWaGQQyMzMVAVq+TZImOrGxscqDsjTdWrNmzcwYJEdhQ8DenMsHY/mWUZp3SG3lrl27bMrwwLcJSJMNGb5b3uf5+fkICAhQft8n/sb79ijZe18g4Bc20J999pliE3nVVVcpT62vvPKKopWQX7CWJH1DG41GyyE/fZyAvTnfunWrYjf3wgsvKBrJdevW+fgo2X1rAtIk56677kJWVpbyCn/Hjh3KuofZs2crxz09Pdi3bx+k3STTzCBgb87lm6alS5fi8ssvVzTRv/nNbxRTjpkxYv8ehdQ4v/7663j66achFSLyu1yaZ0qzHbnuwfo3Xn7fM5GAJwn4hQAdGho6xlDedPILNjk5GX/961+VV/hms1n5tLzyHcvMHZ8lYG/Oh4eHlYVkUoBasWKFz46NHbdPQM65fJMkk7zH5b0ubSX7+/uVc1JTJc23mGYOAXtzHh8fr5jqyVFKbbT1d8HMGbn/jkS+RbS8OZT3uNys59jyG++/hDhybxHwi0AqUtMstc7yppO2znJ1fnZ2tmIbeezYMSVylVypzSh13vqz83w79uZcRin7wx/+gISEhLEOPP744zamPGMXuONzBKqrq5XV+dJ8Q2qq5EJR+VrXkp599lk888wzlkN+zgAC9uZcPkTJBeLSJlbaxN99992Q612YZgaBAwcO4MiRI4rphhSmpQcte9/38jeeiQQ8ScAvBGgLQKmJkpop6yQXDkrB2vJEa32N+75PwN6c+/6oOIKpCHDOp6IzM6/Zm3N5Tmoj5ZsHpplFQHpPkr/dcn6tk72/A+vr3CcBdxLwKwHaneBYFwmQAAmQAAmQAAmQgH8SoAsC/5x3jpoESIAESIAESIAESMBJAhSgnQTHYiRAAiRAAiRAAiRAAv5JgAK0f847R00CJEACJEACJEACJOAkAQrQToJjMRIgAd8kIKOYLViwQPEfK0fw4osvKiv5GdbdN+eTvSYBEiCBi0GAiwgvBnW2SQIkcFEJPPnkk0qQlV//+tdYuHAh3n//fSxfvvyi9omNkwAJkAAJ+A4BCtC+M1fsKQmQgJsIdHd3o6CgAJGRkdi0aROee+45N9XMakiABEiABPyBAE04/GGWOUYSIAEbAkajEQ899BBkIKVHH33U5hoPSIAESIAESMARAWqgHRHidRIggRlHoK2tDfn5+cqWnJyMl19+ecaNkQMiARIgARLwHAFqoD3HljWTAAlMUwJPPfUUrr32Wmzbtg0ffvihYgM9TbvKbpEACZAACUxDAsHTsE/sEgmQAAl4jMCOHTvw5ptvori4GCaTCT/+8Y+xZcsWxZwjPDzcY+2yYhIgARIggZlDgCYcM2cuORISIAESIAESIAESIAEvEKAJhxcgswkSIAESIAESIAESIIGZQ4AC9MyZS46EBEiABEiABEiABEjACwQoQHsBMpsgARIgARIgARIgARKYOQQoQM+cueRISIAESIAESIAESIAEvECAArQXILMJEiABEiABEiABEiCBmUOAAvTMmUuOhARIgARIgARIgARIwAsEKEB7ATKbIAESIAESIAESIAESmDkEKEDPnLnkSEiABEiABEiABEiABLxAgAK0FyCzCRIgARIgARIgARIggZlD4P8DkUCyYD3b/HcAAAAASUVORK5CYII=" alt="plot of chunk unnamed-chunk-3"/> </p>

<p>If you look at that command in detail, you&#39;ll notice that there isn&#39;t much there; we are passing in the data, saying that the &ldquo;District&rdquo; column should be mapped to the map&#39;s ids (which are districts), specifying the map source, and making sure that the boundaries are correct.</p>

<p>Of course, the map looks horrible right now. There are three major issues with it:</p>

<ol>
<li>there is missing data!</li>
<li>its not that pretty right now</li>
<li>i&#39;m not sure what data we are plotting</li>
</ol>

<p>So lets deal with each in reverse order.</p>

<h2>Mapping the right data</h2>

<p>Our dataset is not a dataset with a row per district, it is a dataset with a row per school. To make sure that we are mapping the right data, we should summarize our data by district, and <em>then</em> map this aggregated data. I like to use <code>ddply</code> for this kind of stuff, which you should read about <a href="http://plyr.had.co.nz/">here</a> if you&#39;d like.</p>

<pre><code class="r"># Take the mean of PASS.PERCENT by District
districtpassavg63 &lt;- ddply(edu63, .(District), summarize, PassMean63 = mean(PASS.PERCENT))
# Same plot, but use the right dataset and fill parameter
ggplot() + geom_map(data = districtpassavg63, aes(map_id = District, fill = PassMean63),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat)
</code></pre>

<p><img 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" alt="plot of chunk unnamed-chunk-4"/> </p>

<h2>Making it prettier</h2>

<p><code>ggplot</code> allows pretty fancy colorations to be applied to the map. For this example, I think a divergent color scheme works perfectly. <a href="http://docs.ggplot2.org/0.9.3/scale_gradient2.html">After some reading of ggplot docs</a>, the solution for this is quite easy.</p>

<pre><code class="r">ggplot() + geom_map(data = districtpassavg63, aes(map_id = District, fill = PassMean63),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat) + scale_fill_gradient2(low = muted(&quot;red&quot;),
    mid = &quot;white&quot;, midpoint = 50, high = muted(&quot;blue&quot;), limits = c(0, 100))
</code></pre>

<p><img 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" alt="plot of chunk unnamed-chunk-5"/> </p>

<h2>Dealing with missing data</h2>

<p>And finally, we come to the most annoying problem, that of missing data. This is a pretty common problem, and comes from the fact that we are matching our dataset to the gadm map using the district name. The two datasets are using different spellings, and this is causing some of the data to be mismatched. Dealing with this kind of mismatch is a pain, and the best solution is usually dependent on the datasets themselves. Here, let us just start by inspecting what is not matching.</p>

<pre><code class="r">namesInData &lt;- levels(edu63$District)
namesInMap &lt;- levels(factor(np_dist$id))

namesInData[which(!namesInData %in% namesInMap)]
</code></pre>

<pre><code>##  [1] &quot;BARDIA&quot;       &quot;CHITWAN&quot;      &quot;DANDELDHURA&quot;  &quot;DHANUSHA&quot;
##  [5] &quot;KAPILVASTU&quot;   &quot;KAVREPALANCH&quot; &quot;SANKHUWASAB&quot;  &quot;SINDHUPALCHO&quot;
##  [9] &quot;TANAHUN&quot;      &quot;TEHRATHUM&quot;
</code></pre>

<pre><code class="r">namesInMap[which(!namesInMap %in% namesInData)]
</code></pre>

<pre><code>##  [1] &quot;BARDIYA&quot;        &quot;CHITAWAN&quot;       &quot;DADELDHURA&quot;     &quot;DHANUSA&quot;
##  [5] &quot;KAPILBASTU&quot;     &quot;KAVREPALANCHOK&quot; &quot;SANKHUWASABHA&quot;  &quot;SINDHUPALCHOK&quot;
##  [9] &quot;TANAHU&quot;         &quot;TERHATHUM&quot;
</code></pre>

<p>The spelling differences are pretty minor, and thankfully, towards the ends of words. In this case, that means that we can take advantage of alphabetization to solve the problem easily; we&#39;ll just re-assign the &ldquo;levels&rdquo; of the districts in the data to those of the map, and try the graph now. Note that this may or may not work for your dataset, you may need to resort to anything ranging from find-and-replace in your dataset to name things according to the map, renaming your map admin levels by hand to match your data, or putting in a third &ldquo;id&rdquo; parameter that matches between map and data&ndash;this is where your data creativeness needs to step in :)</p>

<pre><code class="r">levels(districtpassavg63$District) &lt;- levels(factor(np_dist$id))
ggplot() + geom_map(data = districtpassavg63, aes(map_id = District, fill = PassMean63),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat) + scale_fill_gradient2(low = muted(&quot;red&quot;),
    mid = &quot;white&quot;, midpoint = 50, high = muted(&quot;blue&quot;), limits = c(0, 100))
</code></pre>

<p><img 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" alt="plot of chunk unnamed-chunk-7"/> </p>

<h2>The power of doing this in R &ndash; What about 2062? Or the difference?</h2>

<p>Of course, the power of doing this in R is that this work is easily repeatable, and we can apply what we did above with just a couple of lines to a new dataset, 2063 data.</p>

<pre><code class="r">edu62 &lt;- read.csv(&quot;~/Downloads/fstat-062 reformatted.csv&quot;)
levels(edu62$District) &lt;- levels(factor(np_dist$id))
districtpassavg62 &lt;- ddply(edu62, .(District), summarize, PassMean62 = mean(PASS.PERCENT))
ggplot() + geom_map(data = districtpassavg62, aes(map_id = District, fill = PassMean62),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat) + scale_fill_gradient2(low = muted(&quot;red&quot;),
    mid = &quot;white&quot;, midpoint = 50, high = muted(&quot;blue&quot;), limits = c(0, 100))
</code></pre>

<p><img 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BLoWrkY2g9FQBFQBBQBRWAFEdAQjhUE3+qm+w49L8999h/k4uNPlF01Y3uf/MtPSghksVjjOZl0utjiq7acVzMTrtprpx1XBBQBRUARUASsREA90FaiuYJ1XfzJ43LioW9W3IM0ZNtC/f0ydaVXGjZ2VVzfWqnA19oq9Vu3LBpOBsocDsRFqykCioAioAgoAorA+kJACfQauN7Uez5RZshGvuH7GhuQ2vuWfG/lPRYeGBRTwi5vgTVwMA6VkYmTJzHO9GwyFRDnmSt9UrdxowQ6N4i3uVnJ9Bq4zjoERUARUAQUAUWgGASUQBeDUg2XOffIo3LpCYRswBtqhTVs2ixb732bpNMZcTqL865OUrbOovatGIMddTChykzvlauqnoYCCR/tN90ofkj4JaZnDILNFOZqioAioAgoAoqAIrA2EbCVQM9AU/hrX/uaTEA/d/fu3XLPPfcYKB4/flweffRRSYKUvP3tb5euLg0VKOf2ikA27vR3vlvOqXnPabv2oLTd/Q5J4N2hobR0dDjF5VqaRE9OpiUUyki66wbxTZ2VdGRGUuGZvHWv9YOjh49IEPdxZHjY8ER3veJ2cbhca33YOj5FQBFQBBQBRWBdImDrJsJHHnlErr32Wnn/+98vZ+ClvASFhyiy0z300EPynve8R97ylrfIv/3bv61L4K0YdLFZBotpq+2aA9J6x9vmi0bCImOjGUmlFjzbfD4xkYazefaYx+2QBBIdppx+CTfvl+jG28S1bb942hcmRCSRnpb2Na+dPOuh7pV0LCYp3OPD2NCZwnOGfeTzXM8DrU8UAUVAEVAEFAFFYNUhYKsH+o1vfKMByDg8pZNItFGH7HiDg4OyZcsWCQaDxiOC5B30RLvds105ffq0nDq1kD2vDcvi+/btsxxYH5bYnVCPaEbs6mq0NNJmH/1XayYfzFrYevd/gOd08XxqejojfNTVuSUeTxthHSTRqaRbPB6nTE3RV73Yom7oJDdtEH/zVvEkwxJ1NUlYvOJpjUkgPiTJsX5JYGVirZuRtfCppySdSBpDdcRjsvHGG2suTtqFCU5qLgX7Wr8mS42vaR2rq/D6p6GgY06Kl8JorR7n7w4fq/V3wIrrwvH7/X4rqlqVdZAL8DOgG8JX5eVb0U7bSqA5silsvvr85z8vDQ0Nxoe0t7fXIM7mqAOBgDDUw/wRI5mOwXNnWhzawnbd2KzXrrrN/lv9N47Mf4/8r/8lk9jARsUMK6z7rnuAw2LynF3vzMzidvIR5+zyfB7N1IE8180fTohPEl6oWHRtkYbxwxIdG51/b60+Mckzxzd29px4AkFp37tHnDUS2mHe/6vtM2D1/bKex2/eA1ZjulrqM6+9+Xe19NvKfq73e4BYKgZW3lHrpy7bCXRjY6N84AMfMGKeGfe8a9euRQQ5kUgYnmkT8muuuUb4yLYLFy5kv7TkOfvl8XiE3vHVYtNDQ/LC5/6vzAwOWdblxq3bEHZxs2X1FVNRMtjO+JBiiq6pMoNHj8oIQpn8He1St2mTeHEPrqTxR4OfAU5S16tx4s49GuvVA+v1eo0VQHrg1qPRgUMv/Gr6HbD6OtH7zNDK9WqtkCjlKhxXyWvRTOdiLfZtvfdpabejBch8+ctfNuKeWRW/oOuRJnojZL+uXLli/GAxfIM/XGb4hgVNrokqiMnExYty6tvfkbFz54wxxUIhef4f/9lS8syKKT9Xde/LOtZOZnz0zOVemYJH2kw+c+Vnz8mP/8f/lBGEL6kpAoqAIqAIKAKKQO0jYKsH+vbbb5dvfOMbRugGSdr9999vPL8FGsN/+7d/CwWHkLz5zW+ufZSq2EOS5xc/93mht5J2/tHHxA0PQdImD0HTrv1VHJ2IKxOV5OUTRbdpyMG5nFD3iIgbEzASUG7YW+0WHRnBRsNDMjk2LicxUeL1ffwv/lJe/UcflqbNm1f78LT/ioAioAgoAorAmkbAVgLd3d0t73vf+4wlYi4VmnbXXXcJyTU38fGhtoBA7zPPzpNn86ht5HlrjwT23Wk2U5W/afEYS6b5Eq9QscMV4GYWh7FiEUV4TWJ8zNiI58BGlwxCWBq3bhWsOVelr3Y3Mgwv9GnoeGfbCDbQKoHORkSfKwKKgCKgCCgCtYeArQTaHG42eTaPadiGicTCXy7pn/3BDxcO2PwsOjEmqfFecbeClFbJMg6S5KAkp0NGi24ogEQQg5rExtE0NPGyN95ld8n0Ok9BCrFlx3acv7qVPEaRvfH8k09mD9F4fuzBryLeKSM7f+41V72nBxQBRUARUAQUAUWgNhBQ929tXAejFwks48egWlItY1vnv/IZifcfr1aTRsbCVDSy0B5Ce+hpTobDS5LnhcKzz6b6+iXOUA54rPk3DvLtWEUyTAzTmRroz5u9kcoqL33t6zJt4UbRXPz0tSKgCCgCioAioAhUhoAS6Mrws/ZsEKtqG73e4y8+WT0VAhBmx2YkW9nYI57ObmQ99IgbHulSjHHQJP/T/f3G3xh2T68WbWnu9j7yve/LKMI3lrIUlGmOYAOuuclwqXJ6XBFQBBQBRUARUARWBgEl0CuDe95WT3/3e3mP231w8uJ5xBVXT8os5m6VcHC7hOt3S7LzBnFd/0ap27lYurDUMadBOleDUTKr+6ablu3q4NFj8sM/+agc/uKXJA7vvJoioAgoAoqAIqAI1A4CSqBr5FpE4UUdPDKrvFHtLjm4kdNR7VYX2qNCS7LjoPjbkcWwTHMjs2WtG6Ucx7ARchoKHMXYzPCwDOCeYEpw0xj+oaYIKAKKgCKgCCgCK4uAEuiVxd9oPTo5Jce/9g1JrJCn0VDEALlbSSOJdm27oewueFYBgSb5PfeTx2XoeHEx517I9t38q++RQEuLRMYn5Mpzh+Tb/9+H5rXBywZLT1QEFAFFQBFQBBSBihCoigpHRT1c4yczlvdnn/mMzAwNr+hIr3zz/0jXK98srpatYnikV6A3jnh5yhpOSCSmpqdXoMelNZnCJMWFzH+McS7GEkg0RI1oeqDHzp2fj4l+/C8/KRtvuF5u/bX/t5hqtIwioAgoAoqAIqAIWIyAeqAtBrSU6i7CG/nof/v4ipNn9jmM0IJzX/6MZBJZChmlDMaKsonyYn29kMJbDeZCqIyvoaHornJlYOjYSzJ65uw8eebJjPfuf/4FmRlZf+nQiwZPCyoCioAioAgoAjYioB5oG8HNrjo6MWks3dO7G2hplrZdu+Ti40/klTLLPq+qzxFGIW5fVZs0G3MkoxK9fMp8Wdxf9DfQ1gZSigyFM+WR7+IaqqxUAtJ0J5FRkh7lVNyazZrb7rxD6trbKuuYnq0IKAKKgCKgCCgCZSGgBLos2Eo76dR3vivnczLOlVZDdUq3X3tQnK4VuiW4kbDEGPBmZCVMkZTWMHnmlWO2TcY/W0GeO67ZJ9ff/w6p31D+hsvq3E3aiiKgCCgCioAisHYR0BAOm68tJch6f/q0za1YU73LH7CmojJqybh8EuzeXvSZ9DyTPK8GY+hGa0+PJV3d+vKXi6+xEYlWBmWyt9eSOrUSRUARUAQUAUVAESgNgRVyN5bWydVc+uRD3zSW7mt9DH4oPdT17K9+N9NJyTg4j4MHOjRedPvuAMi+ReEQRTdaZsEQNor2Hz5c5tmLTzv7o0fkyFe+IvHQ7KbJ+/7if8hqiQFfPBJ9pQgoAoqAIqAIrF4ElEDbdO3GkGnu2L//u4SHi9P8takbS1ZLAtq8bbsEunfBkxuS+oOvXbKsnW84e5+V6GCfOKhOUYJH2e3zIveLNfHEcdRzARJxDV2dsnF78V7wYnEJYpOjF3HaJukt9rx85SYuXlx0+PG/+Et52ft+E/HQ7YuO6wtFQBFQBBQBRUARsA8BJdA2YUuvYK2QZ2ok+1vbpP2WV0ticlgGn35MNt/zNvF27bNp9MVX62zskPSVS8iEmCz6JE99nWTixUnBLVdpCJs7Tz3yiKFywU1+G7ZtE4ZcWGnMPtiOTaN9UM6w2qb6+gx96J47XiHUjVZTBBQBRUARUAQUAfsRUAJtE8Z1GzqkdddOGYME2UqZvxlqHwduluC1r4S2s8vohqdrr/TsuUOYuKQWLNG4XdzB4yVtIKzf0ClJC3Sf00xs8uST8xJxkfFxGTh3Tjbu2GFs/CsVH24UTEBiLhqOiD8YEC/0qWnG8RI3SJbS9ktf/Zqc/Oa3pK6jQ5q2bpGbH3hPKadrWUVAEVAEFAFFQBEoEQEl0CUCVmxxytV17NtnHYEG4e152csknU6hC8ja53EL/aQGYUM8bHZ2Owc9ngeul+bbflH4PNdqhTyzX65kSOJZqapz+5rvdabIRCT5zjWPUVqu79ixq+LT+188bCSS2QQSXchS0GiORqISCU1J85wixsDZs0bqbZ7HEJm2HdulHR7t8b5+GT5ZokRfocbzvMfkLPRGd1138Kp3R6ElzfAYJgFv2NItwc7Oq8roAUVAEVAEFAFFQBEoHgEl0MVjVXJJeqBLMRc8lpuvv17cXg/iexMgcg5JgehNDQxKC4iPxwXKzEeW+RA77GvFBsB73yzRiXHxtW8SV32buJo3ZZWq3aeOTEqMVOJFdrF+0yYjM1+Rxa8qRm/w2OCQXHjqqXnPc24hkuhWtOP3+3Pfmn9N7/WJH/xgoQ569HHMtCQI6yCIKx/VtFPf+77UNzWJ1wjbaZXQpYuSmF7I8JjAhkYl0NW8ItqWIqAIKAKKwFpEQAm0jVeVWr11eMwgy99y1gSC3Lpli7jnQitcINGGud0S6Nm25OnOugbx7HqZONI+mTtjybK19EYGaa094SsSPVeaOgU3D3JSUayl0U4ikRQXJh6XoITBcycv9xY8nX2LIkSkEIFmXLPb51vwYGeR54KV2/0m+hEZH5MkiHJ4YODq1rAykob3PM0NmCibxHMn4vVXKn371R3UI4qAIqAIKAKKQO0joATaxmvkBPm97TffK+eQRIVpu/NZEHrGnXv2iBve5nLMu/MWiYE8rxZzpKLiHD4h8eErMl1GHHMqVpryxhBUK3oPPS9OeOqZArtY6z9+XBrvuMOIhY4gVCMWnjZWBVxUC0E9l555VtIlEPli27Wm3NL3UnxyUi59/wezfcdEgda8dw9CO7aIZ5WkRLcGI61FEVAEFAFFQBEoHwEl0OVjV9SZVEbY+dqfkz7IpCVyNpI1bNoonT09FW3oSw9fQGKNdol5azwzXRrE99yTEh0flUwFxJPSde4iVTIYH07yTCuFPLO8y+OVGRD80PCwEb9MhY5at8bNm6VrHydji8N8cvtteJ+zDk4gPnsaXvmtr3tt1lF9qggoAoqAIqAIKAJLIaAEeilkLDweC4XEjXhaEugW6AyHsLTuRza5Djxf2ldYXAfi/efF39BSXOEVLOWeuiTTw4MV9yAyMiIt2OCXrcLBuOZpYOxH3K8pQccY5dNQ2CjXpq5cET5Wk209eECccyFApfabadSHIbPXABUPP1ZFaEw9nopGEaOOcJvGBqR5v3pDaqntaHlFQBFQBBQBRWAtIKAEugpXsffpZ6Rte4/4rtlnKGe0w/NspSXHQUy7rK3Tyv4ZdYHQWmXj589L8/YeSc1tjhtDjPn5x5+Yrd7czGf+tarRVVBPIhEXn7f8cJ7QpUuSBGHecHODTJ07LzP9/RJnmA1CPXzIVLn57rskMTNjhMNww6uaIqAIKAKKgCKwXhEovNa7XlGxeNztCNMIwANtF9hOX9DiHltfXSa2oARRce0g4xMgeCF4oxliQa8zN2waZhJ182/Fja2eCobOnq+4sxFMRi7/4IcyfuqUxLERkeSZ5sKGyfhUSEYOH5GL3/muRIC7miKgCCgCioAisF4RsIvTrVc8rxr3NEMBLly46riVBxztPVZWZ3ldrpGXZOb8ScvrNcgdiLILjw17dllf/yqrcRwbJhm6UqkZmyNz6qGiRy8yNpJg06YuQB4PYR9ULGEIjZoioAgoAoqAIrCeENAQDpuuNklIdGxMRo8cnffi2dQUEmTU9jwoNTVi19Dn63U7ahuD+Y7a+QRENoLNjnWIBbfbZpC0hQ9aI1ZYGiC16IP+tJoioAgoAoqAIrAeEFACbcNVngaxYAxpdHTUhtoXqvTvvhEp77C0nq7NzV3OREick5clOjWx0Gm7npW5ec6u7qxEvQ0bN4qnyrHJDO3wQGmmlrJbrgT22qYioAgoAorA+kJACbQN15syYfQ+227BFmhAB5AQw/aWSm7AkZyR6IvQGy5Be7nkRrJOiORIBGa9tS6eMhFKN1Q4PFVWynCCsDds2yrUPFdTBBQBRUARUATWCwK67m3Dlfa3toqjCkQmeemo+OKD4nbNbvSyYShlVcmY2MRLj1SNPGfgfR6/dLmsvq6VkzZdf13VyTOxS0A+kOodaoqAIqAIKAKKwHpCQN1GFl/tmb5+mTh7tqJkIcV2KTk+JHx4OreIr6NH0uP9kmrfg711lapLF9uD/OU8k2clBrmzahmnD9M1ogrRCInC6OSUxO0ePyYNrduh7oK444b2dqQqX7kwnhiyG5oWD00jpAOpwTWkxoRE/yoCioAioAisQQRqnkDTm+mHBJzV5saSM0mHVXVTjWD05EkZgsxXtS0xeFn4oAUCQUnUb5FUqtq9QCQJ9YKnL8j06Rer2jhVOLr2XysDR49Vtd3cxrbcfLM0t7dBlUJk6OIFCY9PSPd1B+TSoRcknCekpw5lZ0bKi5NvQcKT7r17c7uwIq+n4f1PwhOdRJp16kh7AgHZeMvNUt/VtSL9KbVRfgesVyURfgfysV7H7/F4xInwJ6t+B0q992qhPH8L1/P4ef9zwl+rGPCzqQ6JWvikXN2HmifQvHGi+FG22ryI3bSq7lQsJgNIlpKMhK3uZsn1Rc4cFldjrzh6Xo4fxep5oh2pmLjDAzJ17NmS+2zFCY1I9DGGzWxG4o8yKuy++SZxOF3iDfglNDQsQydOlFyLB+fS6HxlinbBP1rntdcsJHqZPSTtu3dL1/YeuQiVlhASlpRq3rr6Uk+xtXwUkwXTmGxlHDJ37uZm81BN/+X3y3olkPweTEIxKD2n913TF8qGzvE3gGO34zfGhu7aUiWJ43oefxCqRSl4nGoVAyXPttz2llRa8wTaklHaXAl/fBPI2FatDXPLDSc1NSa+mV7JNGyURKo6l9gZn5DwqUPLdc229zlV6NizW64cel6YJY/XpND12HrbrdKElNWxSBTayWkj0Y3ZOR+8u+OI6+0C8U1iQ2h/kasKSylgUFauvrNTpgdnU5lvv+MVUlc3G+YQBPEvh0APHj8u7Vu651OXm32vlb/uIDa3qikCioAioAgoAmsUgeqwqzUKHpU2oqNjksHslamOzSQTtTDc2NnD4m6BTm/3y6rTHQeXwVZ2T6oXRJUkOj4xAeKbkLrODTJ28ZJQk9tIDjKHhJ9xw/SOMuTEd3VKahe8UnvvvGN+2WwKce0zyHpY0HCOawklCnoQ2qCTnIxFxVffIPXwlJtWbqz0RihuMANjrdr4iZPixVjrLE5bX6vj1X4pAoqAIqAIrC8ElECXeb3p3ex/6ilsFlyBYOMi+5wcHxF3+mnxN9VJpHGvpB2eIs8svpgrhgnE0GmZ6b1Q/Ek2laQiRAThFzR6pMODQxIEWU2BQLuxTMmwCV/Ah/cc4gSpLWTmshk92VGmtM4xerlJ1gNNzeI3vK0g0AXqbARhb7jttpxaRFpBrJlBsBSjZF1brRNT4DZ67JgEOtrFiThTNUVAEVAEFAFFYC0hoAS63KsJEmMpeQb54iY8k7jldsuBhBWZdEoc2KCWhsfbAYKynJFo+QJuiY8Miw8Z6qKdN0kGnuJ5Q+iCPzUicVdLWeTakYxI+MUfGR74+TpX8MkEvM25Rs8zqXIKca5ueJtdJXrJeT12332XnH3yKSN1tVn/rrvvFK+rtI9Pvmvrx3XtOnDAuPbDp08bYSdN3d3SuLHL8GgPwpMbGR83m5Vdr7zb2OziLHEc8xVU8UkS2tzcG1C/eZM44J1v2LKliq1rU4qAIqAIKAKKgH0IlMYA7OvHqquZYRvexkaJ5/FOljOYjNMhU30D0gyPZAZqBlcZCPP42XOGvnQAOtN+tJ0pkKSkDgoI9JIn5vqXnIG8WDoEsjy7scubmhDP+AWJT45j41xAnP46STdsEAdIOi3uhZoEUoQbD5DuQKxPUu46nN8k7mmoLgycBaGcqRnyDCmBqyDLPeDEJsFyjMlJGNIRAQk3Ji+YmJRKnpdql57wDhBM2oYd242YazfqN8n2WF3QINBMVNK2aydUVgLz7y1VZy0dZzZOMyOnG30PQHJPTRFQBBQBRUARWO0IKIEu8wpyCX8zvIGT587J2LGXlq8FBNmBpex0Km3IJvGEODx0HsTtMpXg9JU+g/CG+gfE19hgEGWPD/Ja2MTmQFszw0NGGyTuYWge88E+NG3dapQx3sz5LwWvc7Y5rhwVL3fb03sOcm3SdJYzyiLkwzS3ByolqN/pw2Ywb0AyM+OSnJ6RFEhzFKEStWKGH94DL3t48Vjz9S8DjzukNvK9tewxEtogCKCdxklRLMvbzLbae0CqsdGxByoh7iImCXb2r9K6Y4hNVwJdKYp6viKgCCgCikAtIKAEuoKrwBCJuo0bZeyl4+DAhUMqkoiVDkHaazmjmgcfpjF+lOQtBSKdazwWhoePesLpOa+1t6FBXAgLYDrxXJtXpQAJX87SCZyPRwqeayeI4/CpU9LQ1Wlknlvu3Gq+H5kJyzgmMcWYQUCXuU7F1FPNMvUN9bLz1ltWldc5Hz78rNRv3pzvLT2mCCgCioAioAisOgTKc8etumHa12FqQJvL7flaMWg1yMPMnIRZvjKFjpH05iPP5jlOeCV98FwyZIMPI94Xnm3G/Fpl9JSzvglMADxoi6nKGVJgi6HeRDojEXhdJ7AJUNwFNqBh7MWSZ/a18BTHltGUVClVXXx5tJML3V8lNbCChbkZUzcTruAF0KYVAUVAEVAELEXAJhZkaR9rujKSScZCc3l6kTFMAmEbk8jSRu80Qy/ssCZ49VLwwtpTO6I94M0eO3p0vutTlzEeGFUt6jdtkhg84FYYCVYERJ2Z7EKQjTMtAlK58Zp95svFf8sMx1hcSQ294n2Cx5o0jKvv8SekZe8eY9VmTY5RB6UIKAKKgCKwbhBQD7QFl7r9+usW1wLyzHjnifMXoNSRtI08s1G7vZOOJeJuSXQnEDrBjWGVGiljGpiNnzu/iDyzXi79Z1PKDMJZ6JVOo1/MoFaKlVq+lLqtKhufnBRvc5NV1dVUPRzbSJFJaezueDRq15TT7p5r/YqAIqAIKAK1gIB6oC24Clx273r5y2T85CmJY4NdaGhImM54ubhoC5qWyBQIFzYb2tVWDF7hJY1kds6c2HDoglc6jZAWhrUUayTHCcSHDyOzXj5j+EocYSzeQBB5T1IyjklJrETlE5L8jQcPimsRFc/X2sofo5RhfPJq3emV75k1PeDKRTUtmUzLyEhcxscS4vE6pbnZI9PTSbl0MSKNjW68Xn7zaTX7q20pAoqAIqAIrA4ElEBbdJ2CSNUcGRs3kmJkbwK0qPqrqiERad25c3bJn8oaNhhjVmPQkF7SsCyfBoc2sjBCPWKGyiAI+Qgg059JohkrnZ0FMLeuERDieNamydz3+XoEWsiVWOe114rb4PoLhL+S+uw+l+oqJn52t1Xt+pda0bCqH4lEWlKpDDJMOuX8+bD090XxeqH2visLewOmppIyMR6ZF2ZJI/beibArNUVAEVAEFAFFYDkElEAvh1CR79NTOnzkyNWx0EWeX2qxJuhFO5h4xa6YWYROTPT1STQ3tjunozOQ3cs2Er80+kTyTUUQI4sfPdU45qmrQzrr2GxYC14z5nk58pxddznP6zZsEA9k7uzy0JfTp6XOcaKf3sYmyNatXa8oNaHHjp+Q1qXi2pcCp8jj588hectAjEqNzNS+rB05MiANjYK06A65cCEsO3fWSWOT2yDeW7YGkLSmPO3wZRvWAoqAIqAIKAKrGgEl0BZdvsjISNlKG+V0YRRe2U033QRd5gIhFuVUPHeOEx7u5cjzUtVTo5o2A0xoJNNM/jIFQk4SHUQyjRBSbjPm2S6jF9eLNN4dO3ZgklEEk7KrIyXU64XnPoZVjLVuE5BE5PVhEqL2G663LI6/tzdikGfiVwx5ZrlxeKCzpbfPnEHo1ZwNDsbk2v0N0trqNQ/pX0VAEVAEFAFFwEBACbRFN8IM4p6rbTFoNLttUqIYAcmxyijFZ8r4MTZ8AiEbhhxeS4tEs9mLVQ2inu6bbhQnvNzIkW1hrfZV5XA5EeqSFWtgX1M1UfMolV2wMtG0c4ehYmNFp+rqrPUWk4SrB9qKK6N1KAKKgCKw9hBQFQ6LrimzxVXTmrf3iKeQRnIFnXEgbtmH8Au7jMohSWy2rLMxrfNqk4PztbTOp123C/eaqxcTnJEXD8vUxYsldY3XNhxOIX45IVNTyKgZT8PzHJXey9Z+Bl0uh1E322N8NP+yLcZZqykCioAioAisbwTUA23B9afG8+iJExbUtHwVDIVo6ekxQjfs0pam9F5DR4fY6VUnGbFzo9zlZ38mW2+7ddYLvTysNVAiW6yvBrpTpS4weQzVWxq3bSu6RcY59/ZaS5bzNc7NiIdfnJJAwCmxWNoIo2dsdVeXX3buqst3ih5TBBQBRUARWCcIqAe6zAtNAjh8ZDbBCJUFGNNZDWvYtNG2uGez/yQ0MZs3slFabvLSJbNJy/9SDu7iT5+WKRA0Qzva8hasrTCK2GfeU+vRkkygU+QKzvBwrCrkOfs6RCJpI6aal4eKHv6AtaEi2W3pc0VAEVAEFIHVgYB6oMu8ThGoCfQ+8YRMgQRugga0bamtc/rHOFnLf74RUuH0ehCS6sTyNNREoMlML7Sd5rAp/CS3z6Onz8jUlSuy+eB1SHNewwQVhJ9ygGmouaxlFY7c68PXzOI5+Oyz0rx7l8SQbKV5925hivpsm5xMGNrN4wjbWCkLBl2yfXtQWtsKpJdfqc5pu4qAIqAIKAJVRUAJdJlwU0liy913y8WHH5bJCxewV83GuEgQ3GaEbfih0kCZ2lSR3rpih0bFjbEL56GKECr2lIrLpUHUl9OIrriRuQocTpAxug+BXS1bjBsqca2ZGj6BGPH1ZBz74DPPGuOv27hRfLjXs417QVeSPLMvu3bXGYlYsvulzxUBRUARUATWJwJKoCu47o1btxhnW02emSSlfe/eeS8cs/sx3jmD9Nl26DSkEa7RsnWbDFIZoUqWjoFAQ96uUJIVq7rStf/aWufOs0MFeaYXmvJu69Yw0Rl67pDUbewSJiTquPFGYYhUamIIcwu/MQ9aKWy4cZGZDNUUAUVAEVAEFAEl0BXcA4x7Ziyv1UvuG5A5j/rOdpDlpYbLhCxBbBw0NZyXKmfd8Yw0b9sqI0h/bjcrmoYedT1WDJwgqLYlnikSGDd0sJmt0XCGczlhLqokgzTl6TgUJZZJXFNkM6u6GL3vE3Me+HhoWvyYVExd6RdH02123yoFcaMSh5oioAgoAoqAIkAElEBXcB/QM9Zx3UHpf/qZCmpZOJUEtnlLt+3xxwstLjxj7G0jls6rR6CR7AKe71ZkVOSmxWFkp7PLxs6eEz7o8e46eEB8+LsSRuJM5ZGUzRs0V2JsdrVJMs0HJxxdcln6ZHbVx672CtXLxCrd3YFCRfQ9RUARUAQUgXWCgKpwFHmhvdCvGn7hBYlA1YHG0IMzDz1kGXk2KkWgZyocMTaSGa+r/F8mHpN6kOiq2ZysQQrJVToRZlHXucHWppnQZRoZEK1W5aBu9nLGLIMptF90irzlKlxn79P36whVP1lRNsyxaFomJhKGJnT2cX2uCCgCioAisP4QWP6Xf/1hctWIfSDPdfBaJhCbevLLX5Hghg5JgOhSw9Yqa9i0SRq6umyXqCvU30wqLXUgetzgFx4ZLVTU8vcYR87lerttqrfXmARtwsqBkanQggaf/erXZNvNN4vb75M2yAxyqT8BT7MP4T1pxK0bhslCje9htAAJ+6qY3ny7TIUx31/BKIpkclYXevNm1YG270przYqAIqAIrA4ElEAvc538CNMIznkYZ0AqUwh1CPVeWeas0t7edNNNszHPiHteaeNmxYaODQh38Mp0f7/93QG+zHqYwKbCdMpe6TxzMAngfBkb1TZALi3QDLUHivuWaEnEU0+Pjsmx739fopNTcrjvm3lraN68WQ7c+/PixTjVSkMgA1nF+OYbJJwKCOchXLCoBfN6deGuFq6D9kERUAQKI/ALv/ALcuTIEWzAdkgwGJR3vvOd8gd/8AfiZEaoCux73/ue/OZv/qZs2bJFfvzjHxs13XnnnXIFkrF/93d/J/fcc08Ftc+eOjQ0JP/pP/0neemll+Rd73qX0e+BgQH58Ic/LM8995zce++98id/8idIdLVyYXWVoVgxRLVfAQm0aV3Y3GeHxRjjmdWOHW2UUqeRiXDDBlvDObwgzT5kVaRHMXSlT6JzG/1K6WclZRnOMYAP5vmnfoouFO8b5nUax8rDM1/4ojyH1QiS50I2gS+Uxz/7DzJu8aSrUJtr5j2ENKXFKTORsuY4tsDgdjuks8tnS91aqSKgCCgCViJAQrt//3755Cc/KW9+85sN8vkE8leYNoPwyVyLYfU011JwMiWzckOE4YS6hBwYrOvixYvG46c//alxLLvO7HPMOuPMdZBVl3mcbfA900ie+/r65L/+1/8q//t//285c+aM/Pmf/7kchVrYxz/+cfmHf/gH+dd//Vez+Ir8VQJdAHY3Zm1UbjBtK5b997zudeZLy/6Onj4tw3i4oNBQK0YVkCAJrg3mb2uV6YFBCV3uRdjGgt7xSkwiZse4vGuTGxCp0RyBK/TQlx+UCBJ+FGsezJCD9bVzbYvt90qX4yfPP352pbuxqP2mJreoB3oRJPpCEVAEahiBbdu2yZve9Cb5nd/5HaOXJ0+elMcff1x4vK2tzfh74sQJJFFLyOtf/3rZsWOHdCGc9NOf/rRR/r/8l/8iPT09sglhpr/6q786P1IvVMhuuOEG+eEPf2g8+Nwzt0GfJJplW8Eh3vCGN8hxJGej0ZPcAbGEOnCdD37wg8axmxH+SHLPNpsQQvrggw8ax7/xjW8Y5SPYdE/SvGvXLvmP//E/ype+9CWjn83NzXIBOThW0pRAl4A+l0G6D+yXDddcY5wVxM3HZCDNuBEPvvUt0nPHK6QBm/Dad+8qodbZoqyrB6Ec3bfcIh7cXE1YGqFE3kqaIftW4VJPbv8D+PCEevtyDxuvITJXtYyOZgeSmG0vTJHMo4v/cpPgSXiqn/j8F+SJf/inxW8W8YptqJWHwEzz3vJOtOkspvVmyvXp6aRuJrQJY61WEVAErEPgq1/9qtx+++1yLVbQSZgZ+kBSSq80CSi9yT/4wQ/k+eeflx/96EfyV3/1V/LFL34RWVe3G55ien9/4zd+Q7773e/Ka1/7WoTTze3rQRdf9apXGeT5YSSUe/WrXz3f6YcgsPDYY49JL/Ycbd26Vf7mb/5GJuF0Isk+d+6cEY7xL//yL0Z5eqNZZz9CRu+44w75/Oc/j83aE8YxeppZF8k+z9+NsEs+/93f/V1hOAf7tZJmawx0CN7Fb33rWwYYnL3cd9994gYZefHFF+Wpp54yZiuM0eGMpBYt2/ts9s+FJfwDr79X0ve8zuh/CpvfDKIJct2Fmdtu3Kj8gY1gBsaNZCPnz8u5Rx8zT1/y756f+zmjngDilLghjdbc3S0XgdNKGRO4tGHWN3IKWs0WGCcGU5d7l8zamABmddBr9gCDJDYyUheZGemS0YjQi0sJOCpoTJy/YEFvZqtw4X5czmaQ0OMSYqbLtXrc3/nupXLrWy/nZdweCUUXQqhqYdzRaEp+9uwEfoDSEqxzya6dyE7YgtUJNUVAEVAEahABkk56fumxJckl33oBimIf+9jHDD7G0Ilp/MbddtttRjmWZYz0+973PoNsf+ITn5A//uM/lo9+9KPyOqzAv+Utb5kfJev7tV/7NSPG+rOf/axBvvkmCfkYQh1JsEmON8KxSO5HTzTJPPvCNk27BY5Dvk/STtLdgBBP9oEeZ8Zsk4RzIvDAAw/In/7pn8pnPvMZg1vy+Era8uyhgt5xNsOLRxc93fGc4Rw8eFC+853vyG//9m8bM59//Md/lN/7vd+roBX7TnWBrOUzFy4sHzTzb3Y5I2C/vl4EjyYukWDW1Ycbp2PnTvFC8/jY974vg8eOzZ+yDbMuEmfTzFa9WA7Zctut0nf4iKSyZn1muWr8dXutIQcMz0givombFAtZBstIccw0OQlxAOPY6KwaSGpmdoOlE8tGzdt7LCPRdZ2dRmjGUjvUMrgGLz30rUJdXva9LTfesGwZLZAHgQCk/wrfLnlOsvcQ5ssGeWYr4ZmUjIzElEDbC7nWrggoAhUgcODAAXnve9+7qIb//J//s+HQJCnu6ekxfm8PHz5skOvBwUGDoDJ0g9yMMc6MdR7BPqW77rpLGOtsGl/zODkPn5t2IzLIPvroo0aoyDe/ObvBnh7sz33ucwax/vu//3uDxJvlGQ5CMzc30lFJ3si2GMdNMs4QDnqtuXHwv//3/244MOnNZsjJSpmtBPpVmH3Uk0jCGBtDtzwvBmcN3DnJB5cPGDhuAsg4nOwAcwLKi2OHsd6CdVvULmdWWzFxMG3va169iEA3FNA/9vsDsh0zQ3q6o5ixhXBzU4Pa7fPJFALs7dYVprQdiWyl6cq5aZCbBYs147rkkV1gwhdDKQSbHKmtjAtovCYmE7i3ijac14hVkee+9nUJoG+3//L9SOyysDTFehyY7Pz47z4jiQonL3WYbecaZ/0Xj70kLnwuAk2N0oBseyu5mzi3fzXxGtkZpbYc0FfB4nTZ9/10VWM2HDC/Awt+D9rQbi1VaWJQS32qZl/W+/iJ9XrD4Fd+5VcMDzTJLT3SDOUgQaWTk05PH/gFvc6dcDCRj919990Gh3vrW98q5HVf//rXjVuUMcsky+RpjY2N87ftO97xDmOD3wb8TtPbTOJ73XXXGR5m1s/n5HrcJLiUMcSE3m6Wv//++43wDjNk4/d///eN037913/dIPtL1WH3cWQ2zsNSLG71NDbIfeUrXzGC2EkmOXsgwJxVfOELXzB2hrZj6Z727W9/2/BQm13YCa+tGfxuHqvW3xnMrIzkFxY3yDpP/fgnIGYR6bnlViM8oZwm6NUdgGd7CrFAthmI5tiliwijqCyOtwEfpFELQy9yx0sNZm8gKEPYqbucuTHbrccXw6GHZmfGLH/9G+6T9u7Ni06lvN63/+f/WnSsnBcN0A1vwJdUD75ogg31ksZH7tl//6qEkNQl27r27JGtN1wnDdh4sZ4JjYmJM9Agl3zXmS9r8u+bf3E/Nr74a7Jv2ilFQBFQBJZCgM5LP5xEptfXLMf4aBLo7ON0+JDwsnwpxjBehmNkG0M3TMdq9vF8z41wWPSHEny1aLYTaGr4cZbDJQTORGgM/n7yySeFsxPOeKgnaO7ezAcSZ0dWG2dLbHN0LkQgu36qbzA0ow5k3y6LY1bHrIOVWgweWSpCDGNnrdXeaBJ0xnJPXb5caTfFj1CWqUuV11OoI/yw+dvbJD49I6G5mW0d7jFPHWKqMQEwdKadLukHVrlkvhUbE27+hTfOZ4GMJVPy5D/9M86xNobAizhw9pNa1NkWgAd6/2sRB4+DXnxZ+OGVZjiLPWsv2S3X5vPUht2ScXpkINpSmx2c69Xtr2jB9wiv2uo0rvzRw5RmbMo6NK760IvG36T1aiRF2RvD1hsOVIogQeQmtVq0HoRYqNUmAvYxRIyX0igMJv/ABz4wP4PgB5WxNlwK4AzomWeeKUieVwI2Jk5xg0DbaSkQNCvMhx9AH7ybjfDgn6W+I34IG7H5sB0fuqnhYRkhsV7GHIhz9iBUhISZ5I4ayQmk9R4H4U1kBfovU03Bt5OcLGBislSsccGTi3yTXtsYkptwDG17dhte3Oj4hCSnQpLGNT36/R8uWdMYwj8e/cxnZT82iCZxjx5FnLrVExI2HseEJNcYInMQ5DmGECca/3ICQIWXFmyqcEAPmbZuyLTbJ4PJDXbAb+Bo1X/UhFZTBBQBRUARWJ8I2EqgGbZB78anPvUpA92bINPGDDWc6XHzIAn0L/3SL9UU8kzbbTd55hK+1d5FkscAPCmR8XFpgzeVHvQWhCmEIA0TQwryfObHzJt9YbrpXKLM6UPH7l3S9/wL+U4t+VgyEpbGzZskMjF5VVslV7bMCSaRzi5WDNVhrPMLSMtdbbvll94mMVy3XGNcNzXCaS4sqbUgxGQ9hHbEO6+R9NXzjFx4Vvx110bfqvY+rziA2gFFQBFYtQhQXu7pp582Yqk5CG7o+9CHPmSs6v/Wb/2W4STl/jYmRKH6xmte8xr5yEc+smrHm6/jthLoP/zDP8zXprz97W9ftHEwb6EVOEiSFYDXz27jcpHVnlj2vb6rEym4PcIdrDSmBwkgdIJhA36ECFABZBKEOtjaImF4OWf6Cy9bMsRk0w3Xy9DJU5JEHFKlFgVJDLS22U6g8/UTsUoGDvk8wPnKV/NYEnFiyxkl/BzcqYzVgbVs4e7bZGzaGuUXu3FqacH1UFMEFAFFoAYReOyRM/Kv//e5inrW0VEvH/vEG66qgxkB//Zv/9ZIkmK++f73v1/+7M/+zBCJoNwdCTPLXIO8GdSSfve7321EJPC9tWL2s8UlkDJVN5Z4e0UOM3SjGnq9HrSTCULXGGQok0hatjTf1LFB+DC9rfzbgYQsZp49vg5iRyutAUQ2jMc4JGLM0AHjjZz/UlCmoPzeJGIEw9hUmc9I2pn4JYqVhUiemPLsc6LjY9JEUfRSFDOyKyjzOVVEGKJSa9aNCUqxNtl7RRqxIXGteqFTG3auGvLMa1YHHWg1RUARUARqEYGB/il58vFzFXVty5b8e1CYkIXJUZjnwzQmQqEiB+3OO+80wnN/8pOfGCoZ3G9Gx+kjjzxiaEmb56z2vytGoGsROK/Ncc/ZY/aCRCcQdpEEgbbKTOKcW1++45wo1MMrzcflY0cRQjAbf5t7Ll8zJroBHxgmdklgSWZmiFJ6KWnp6ZEBpNjs2r9fUvBQexGHzaQho2fPGufwXJJrlqPs3vTQEM4dksjIsNRv7JLpZTzgPN8KywDrM888u2QoixVtlFtHKzBlwppijGnPUx3twk2ua83S7T2Ie+5aNcNi/LPHs/auw6q5ANpRRUARKIhAQ4NP3vyWBfnch75+FPtKTHfa0qded/0m2b6jzSgQCORfDWTyFKbwNm0cq8vZCh0t4BXUh2ZSFG7SpJnHzHPWwl8l0FlXkbdWNX8Sq9lW1jCvetres12ujD9/1fHcAyTJjI1uaJuVHEzjdSek13jcNCc38EFPchgbSJmevHlL96zaCEk4yDVTnVO/OgYy6IPSRGwyf3y2WV+lf3lNzz77MyM2vNK6bDm/RDLMEBR3jiyQLf2qYqWZ+jYZzGyu+U2DhKRVBiSDTY5xdxNWZcaksaNJxhCn3oJVGhdDbNQUAUVAEagBBKZn4vLQN44t9AS/NU7X8qzj6NEB4YPWvaV54fwCzyhVxz1tps3gd4oqa1S4oWwdybV5zCyzFv4qgc66isvPzbIKW/CUyVFqwQKIkW5DaAc9x0ZsNkhwsZYvs6AT4yKxpmVL9WWwKQ67SqUeH6wwFEKoltG4batMXbxUbHMll6P3OQy98Vq0OkwwXMCqlLsgbeGKRS1gkmntlgHHtprLONgQSIpnEvel2yMZT0BCDqyuOCYl+twj87CdeWb+qYydOi077v15Y6Vl4ag+UwQUAUVgZRCgjrPXWxnF83qKO5/5PSgJSVlgepyfe+45+eAHP2iEdHCj4Rve8AZ56qmn5Prriw9ZXBnUSmu1OHRKq3PVliahM6TWqjQCqizUilGxg1J4Q+fPSRgJPhgzTBm1VnjWsqXwDKm7CrWRHcjeRjPUMrixsK0VsdP2kNxI1qy4FrDeeecd0gYvfAbegBRm6SmExJRkyzsQSqpupQsjYXvNkWdi4h4+KdFzh+fh8QfqJR6Znn+d+2Tq0iU5+i+fw4RwGyQU9yDV/DnpQPZRD35UmH6eGSfVFAFFQBGoFgIueJu93sr2aZSicc+Nhe9617sMTfH77rtPNm/ebKhy/PZv/7b89V//tSFl/LGPfaxaw69KO0qgs2AuxROYdVrZT0kgi/f1lt1M0SdSvWPjrt0y1dKKRCPnjWx9JNUTiGNKzukXU2O60g2ATiQzcYCc0yNND7bTxixDQ/AM1oLVYVa+7eabxINrXmjT5nJ95USDSVc44ze8/548KEQAAEAASURBVCWsFixX94q875idTK1I20s0yq0Q6fBiZZR0AfJsVkP98DHorvNBGzl+YvYa4XnL7l2y8957jeP6nyKgCCgCtiNghGxU9v1qOrvy9fW1r32t8GHaK1/5SuGDuT7MeOhu8IUHH3xQmN2QHuq1Zkqgs64oNZGrafRKJeK1l22uEaEF9SB8piJJA+TxQtjwl4Q3N4AMjn5sGhxG3Ge6VO/pHLiMne669lqDmEcQXpFAPDTl9pZT8Cjn2gSQ/TI0OFjOqZacw2t83RshA4SNgtyMaYV84dgZhNrAvIg7K6jKYTDB2WkhV1dqTb1jevPtEopW9gVfzkVC1neJwfGf+3HnamV95LykBi9IYqywxGMx7WaHNzkRCqKmCCgCikC1EAB/RjruypYsyznfJM/Z41yL5Jnjq/6vVzaqNfY8Ao/oDB4hEJ0pkMMEwhjsNA88vk5fbW48Mskzx09pvK2Qp6H8XAgqGg3wgDLsohKj8kTz1q3zVXgC/vnnVj5p27rFyupKruumt/yipLGJwiDPJZ9d+ASqcqRBko1pH4g6470ncX3Gr/TJDBLWDMP7ztcUsx+9cFFmIDMYRl8gH1ETKx/JjLPq4RsBHyYSz35BGr0LG19NlOtcYYkd/6kkLSDPZp3m38kLF+TwP/+LhCAbqaYIKAKKgN0IuBAq6fN5KnpUGkNt9xhXun71QGddARKRWFZ8L4k0taH9NuoHO1E3I6ErmydmDcKGpwwXoFFT2rTWzd0SHhwyYqXNY6X+NVQ8rjsoQ0ePCZOs+LBjNwaSZ6W5MQNnLPdKxJvvfMXtEse47DR6o4Pt0PQeXqzRbSa+iSONOR80s8zMwKC07t4l3OzJmP+VuveCjhmZljo74bmqbnplaPFnvyb1dY3ScOBO6Y80SYt7TOIvPGq8Z8d/xvXAyksUE5sGxAaqKQKKgCJgJwIGgfZXRvG8vsrOt3N8tVC3eqCXuQpheKSzSfUyxUt+m3rQbiRVWW02jLSd3GhYqTlS6Xn5L8raWZ3sxAG96n2veXWl3Sz5/C033Sit2CxouyEOwSTGpbQ1dvqM4ZWeQoKcDCeI8EpX24KOsGztru69b+46II9Oz0zJ5NPflqbBJyV66HtIalScHnclOA0cOmS7dGMl/dNzFQFFYG0gYIZwMAyj7IfpcVgbkFg+Cp1eFAEpwzoYQ+oD0bAjjpQkOopQjgwDM1eJdVLrGRsNKUdXiZEwm6Q5CgkcJlgJIeOeleYG0Q8i5CRsk9IH+7rpwH7ZuH377FjwpZNAqER8yl6N60oxYoxufHoGKiunjKo4kQtgA6kbQcJ2JmvxNTZI9803Sz3i07m6cd3eRhmbSsjJsyEZHbMnVTlDN3yZaclcOiK5LSQGL1bNC88VlnQytweVXkk9XxFQBBSBxQiQq7gqjIGu9PzFPVp7r5RAF3lNwyAbMRCxOnqMGXdq4aYs6kGnQZ5Xaim9SAgWFfNAmsuPkItKCTRjoTtAxvtefNGoPzqxdEbERR0o8kUa1+scEqnYrQW9GZsi7Q7XKHLIZRdLhiMSCs9OXlp27rCMRFO5JZ2II6nOVmns3CA+iOpTo9Q0F553NPuk/SavfPNHA5YnVKGD3fH8gxKvAeLKcKJJ6J5z06yaIqAIKAJ2IUAZO1/FIRyVyeDZNbZaqVcJdAlXIgXSPIW4aP70M17ahRleA5a+K/VKk0A44fXLRO1fQi5huMsWZRrwKUjQUZ2jEstg5tAC720Um+Li8Nwm4BW1wjLAdRj6vHaTZyv6Wmt1kOS17d5lSFV4kWjHX18v01htKFV5ZTOk+7p27Ch6eG0tXhketXYlJuhJSKoGyDNB4GbS3ieeMNLKd95wvfjhhad8ZAoTdE4q3FDriMdX1/dA0RdXCyoCikDVEOD3is9fWWiexkAXvlxKoAvjk/ddM/I3CUJN6TsS6UqM3mwr4okr6UM553p90AOzwNKRqHjhlUyDRJC4VWTw8I0gVThtEKEJJScqKbPx1Xj9Cg2Vmy6HoWNM2/Ky22Q3NkTSkjjeD53j5k2bjHCV0w//aH6DJlO3t27vET+kDpNYUUnGorKhp4enFWWReMpy8szQDTn+cFHtV7PQ8JEjhl70DQ88IO1bt8+vaPG7IByeNgh1GitT/BGMRiPwyqeq2T1tSxFQBFY5AqQllYZglCNjt8phK6n7SqBLguvqwvxZs2KRgyER8RrUhL56xIuPUN7uwrPPluyZXFwLXjFOGd64emhOT0MlolzbcO01cuHwYZmCbnU1zQHv4Vq1GcSmm8aY5S3QATft+l98s8QhnM/x+yqcUJ2+YM3KQ50/Ld7BI9gY6ZcENrumpq0NCzLHXulfFyaN3voGoxpzFYt/6+pmj5n119cjRnxsyJi8mMf0ryKgCCgChRDgd4lzLutvoXKF3ssOtStUbr2+pwS6wis/jSVZZpdjGAbl7rL1k0upOj4TXlUx0ObY6OEtdVnfPDf3L+Oh26A1TX1oEuCpy5dzixR87UNiER8I3t2/+oA89a//BpWJCwXLV/KmC+3c9Na3IL1zRC787DlJIvxkrdr4ufPG6gAlF3ON97vfggxTqXRGLlyqLBSIvxUNYy9I/NJxWQ1BENxkOvD8IWn9uXtyYV30mj+EgUCdhELWSjwuakRfKAKKwJpCwNSBrmRQqgNdGL216zYrPG5L301g2TWK8APGR5djDAlJIw1aGj+URlKMcipZoXM88Dq2791rWeuMEXUgTKBl80bpuv468TU3FV1345Zuo2wGddz+zncUfV6pBbkRbNddd85uGoT3dS+er4TOdKn9Lrc849OpF22nTYfL++x0bfBJW4tH9u6ql53BKwZ5trOfVtd9/tFH5bG//pTEltlHEAzWX+WZtrovWp8ioAisHQQYfuFxOyt+rB1ErB+JeqAtxJTx0KWoc7AsiXcED4OgeLEhEcd8qyyUow5qHJPYZJYgCUAohhWWBgbM1NiFcIEEvLwkrax/CHG52SmSs9tyeRayOpJE77rrLjnzk59kF6n4+Z5X3i1NnZ2LFDdiNidLqbjTFVTQhOQ5Hbt2LlLNqKC6JU8NlLFbfMsmv9y0v2Whzu23yPYbD8ihL35JZkYWJ5ZZKFRjz/B5d2MS6sNm3OUsGKzD14RTIpEZxEgz/ZL15vcHjbhrttHQ0Ax5cK9MTU0gvCxqfWNaoyKgCNiGAFcH3XlWDUtpkHsw1JZGQD3QS2NT1juUuyMxLsbiIJsGec4qTAK92syN+O0tyCi4HZvN3BYs52ePn9kK+RGmV9qLdra+/GXiypP0g9ndPDnxXjtuu8Vyz2kAG+RWu1xdNr7LPd/zqrtlO5LC2G1eeEraWkvbMX5g79WrE37EFb/83b8iXQcO2N1ly+qfhFLMRP/sxtdClTqdLnih66WpqbVQsbLf8/n80tiIfQiIue7o2Ch+f8Ag0zxGdRA1RUARWD0IcNHQCSm7ih7KEAtecPVAF4Sn9DeZtTABYtwIkrdcPHS+99OIpY4jnMONDHoukGnSaXsXz0sf41JnhJEy2kwhvVSZSo+TUG86eEBcIOqhoSGZuHQZahBOaenejExyi8MAPMCSHmOqcdCLHc7RmN4A/WkqRhDl/peOSxCe9KnBwhsYvQG/sWmu0nGshvM98Io2tLVXras3H2yR546MF5VM5ebrmzBhyv/J4OfqwD2vM+K2h44fr1r/y22ICi4Dx1+S5o2biqrCDu8zY6xJlPMZvVBNTS0yPj5qSHba0X6+dvWYIqAIlI+AAyEcbk9lDNgFx0au/dVf/ZV8/vOfnz/c0dEhDz30kHzve9+Tj3zkI/PHH3zwQdkEtaa1bEqgbbi6DOVg9sIAfnj4nJ5m/mUmQy9Inbnjfqlsb7MkGjNHEmiQAQc2WLlBzEmoa83YIwZt8GMWqK+TBhDZmcEhQ+/Wzr6mQIiD2DRYhzhpYpRLns22d996i/BBY8bDDL5UHHMwZnCNaD7oWXODXBrL4j/57D/J8NmzxvHc/4zzc0h6bpnV8ppjoSc/iRhuGlU0+GAst0Gc8cVX394mnDBUywJel+zb2SBPjI0VbHLHtqB0bygc8sDP2O6770LIT+0TaA727I8elg179kpr95aCY+eb3BlP7zDl7awwhm3Q61zI6IHu6OgyVtdGR4dsCyEp1Ad9TxFQBIpHwOPBilWwMqnZYGAhLNJs+X3ve5+8973vNV7+6Z/+KSbXsyuBjz32mPzBH/yB3HvvvcZ7laoyme3V8l8l0DZdHXqh+cg2auhG8cNO7zR/4PmghjQTtFxlOM5NhbQMPG0JPHUl7Il7vKrtEg4wCYqTMdwweqo2QEEjBfJFabMJKGlUmqlwua6YJHi5cnzfiJ1GV7PRdjMrnhvqKak0Vgyc8urf+DUZHRjAzB2ZFjEhoD71C9/6jvQeflFe/iu/LO2ICaa6x+jpM8U0WZtlcF+179ktTtyfDtyLhoY1rqFBoIGBA5rDDCXaB+99tS2Zyr46V7deV+eSXT31V7+R50gACWA6918rg8deyvNu7R3qP3a0KALt9foQzsTHjMSgXMP45GLDxnJHTWJM8mxO6nPfz33NcpTZm5oaz31LXysCikANIeCBQ2Jbz8Kq0pUrU0X1rqnZL/V1s8Q5kIdA83eejxdeeEGeeuop+eEPf2jU+/zzz8uePXvkb/7mb+Sd73yndGKv0Fo3JdBVvsIky6TVZmg+wwyYhWw5o5c1ibLuHFK+3Hl2vm9QnTx9p8RbAJsKA7t3SRRpnEcR4xnN0hK2s0+l1s1McBlI8c0brk9b9gcfeN/4+p83HkYZjJckun3Hdklio+MlaGBblTlxvg82P2nfu0dc5n0Ej/p8IASOwQc933qxpGr+BAueNDUUjrV92Q0tQk/1chaJJ+XMxRk579wvLfvbMEGCsF0Gn7NphCGAfGYSMYn0Xliumqq+XyoJZtgFHzyPYRWRSNhIwlJKp32+QNHkmfWynZmZtSvZWAp2WlYRqGkEsHIdjSyENRabVCWVSM+f587ZV5Q93k984hPy+7//+/MbzEmq+V1E4nznnXcKCXU9eMBaNiXQK3B14yBh1Iw2PdBFdQEEOoWbuVYINMlzGr7cqyOkFo/GjxCAjSDSE5CjGz97bvGbq/kVVgMYgrPjZS8TbHWeDwvhKgO1oa8cel5S8A7WohmeeEzGlrMk7lMPJkPVND9i9rZtCUhDnVsu9oYlNL0wuQz4nVIfKNyfofGonDgTkrFx84fDJWPOzbMxRhxI6+754bQ1domj74SkMHGgJvNK2+jZ8lY1+D1CT3JDQ5NQ7m56egrhHQua2nyfRJubED1YcWCqcJJtbhpkYpxSLBy2TwGklH5oWUVAESiMAH+jp6cXnEPuPPHM+WpIJLCPCw+aC79t+WwEKkdHjx6Ve+65Z/7tb37zm/PPDx06ZMRF33///fPH1uKT0r491yICKzAmKm8wLroeP2ZuEBl6AAsvXM920oiNxg3tRriBcQZOWp4GWT9A9pUfr3kv5jJNMGazsaVVZhqHQVRqx3vlR+zWUrHTywxp4W3MuAVk2rx+/LoJYIPjLoQ/jF64KCOnTi2UrZFnY5jItMCD7iV5Yv9ryEj2btg3u+y4o7tOBkajINIRGRyOya3wPvP9pYzej2efH8flKG5Mo64e5CnvwWcoKW2hIxK+iGu1gnhMI3QohQkYV3DKNXqBuOGPah3T0yHjr8vlnvcSsV6SaIZhFMJyqfYppUeJu1K95UvVp8cVAUXAHgQYwhFsuDqGuZTWAnX5VwQffvhhue++++a/Q9LgM2984xvlK1/5CibxQTl58qQ88MADpTS1KsuW/029KodbO51mKMckQgcYD12KpfADyYfxQw8y4QIZ90Kxo1pmUPdMuuQNjW5oXDchNnp4+rRlWtGVjpnKHG5sIKyYROfrCIhQGzZUhrEhLryMJrEHsbr0VtuZjIVttG3bKrFoTCYuXpSxM2eN+GDKA+azJsSyV9v7nNsPEryN7QHpaPUJY6P92BRTyFh+3+4GOXK8NG9yWtwy3HCjeA5cK83RsxI+fbhQM/a9h++EgZPHZfP+gxW3QY90c3Nr3nqoJV2u0YtNnJVAl4ugnqcIVAcBfEyxwlT+Z529ZDbDfHYcm7MPZEmF0kn2jne8Q972trdh9QvJxZBcLfv9fHWshWNKoFf4KpabvRC/YkbPU7hxE66MeAyvtL2DSbNJEPb8H6nl225sbZU6KGIkEXd75YUXZzevLX+abSWYhjyOJWluGFzar1lZ842YNCxFoBsQH87NeulEXFxQvJi8eKmyxgqcTW87r50PEokbEAOdYNw3FUXm7qPcU2M1lJqcqzTF/g7Qax2aSZaVFjwhPhn2X4vEMWkJnzmaC0lVXvdhs6oVBNquzpI886GmCCgCtY0AP6dLEeBie+5aQir0Ix/5yFVVvPvd75Zf/uVfxgpVBCtcdVe9vxYPKIFe7VcVHxKSaLsJtLG1DASs0p9Ocwdvz223yhhUOqZ6e5fMLFiNSxMPTYunHVrHWIKyw+o72mXbK26XFMhq/5EjkoIHmFYPYu1E4EcK5NmwMtpndsZivdYsa5oD19HLVYwCFkV2xXNPPyPbbrnZ2HFdoGhNvcUfjXrET1diw4ED4jywD6Q9Kb4MsmBKQlIvPVaV+zSEMI40J6nLXJ9KxlfuuclkwoidLmbTc7lt6HmKgCJgDQL0CruXiGEutgX+XpdibHO9kGfiUtkvTSnIalnbEMjgpo3Cs0h9Yw9/fG2I48wgbKNcz3O+gfOD1r55k6EzPHxqZcM66Fm3cmzZ46V2twtSeNjhJcxi6GyDtxtfatSxzg68YQhHw6aNRibH6CQ2gSH0w5CXy6osCKLvRT2xqUnxUH4PahIT589nlbj6qRdt1oHE+xgqVOJ9MXXlikz1bJOWbFWSuSa48Y4JS2rJG5nCrvMLfTNytMQQjqtRw3zK4ZZ4Bg+Z1cFuuuZuyZx5ChMge1NaR6BWM9Z7Sdq3bc/XrRU9Rt3pcHh6RfugjSsCikBxCHiwbFcfLC1ENLfmumU2beeWX2+va55AM9aO6XmtNu4+5+zKjrqt7mtJ9QGvTBg78EmWEMxveFYjUWj7lu9hzSAOyjm3K7ekvhRRmGEdwZtvkitHjs4n9SjiNEuL8D7I2BwCE4ZHl8ZwDTg08xo1rRMInaDcUCPINLfCOUF8J85fkHqSWBD95Mz0bNIXeLTTeLTu3GF4t9n/meFhYVhKtsVRX9vWbsR55491zi6b73kMmz7TGzbMEmXcUyTO41g1uPLcIWnY2CXbbr21ZCWHfO1Ueoy3+7OHx2VgyB6CO+noFMeuN0lH8pzMnHiurO76Ghvklv/wDiMr5pFvfUsic/dEbmV+bACsRUtDH3ytfV9yQyUn82ttXKXcP/wtXM/j5/c/HQG1igE5UDmOCiczEVbqga7w/FLuw9VYtuYJNG8cBqVbbV4vPIE21W11X0uuj8suZBRzZMoD4lXOhSaBI+12gqjZaW78iHUjo2AMXtkhpN2upvybC/dBGpswAZGtloiVdg+bRDiNa9gATz3jl02PdHZfSZBNC7YioyImm6HeKwuhHbgPxvv6pZkEvIxJ1ADCTvgwMhXiviJpNy2EEJyj33hI6kGke267DWp+pS33mfVY8ffM5WnbyLPZv4zDJeOeLdK8OynpqWFJhiaMa1KsV7p9124JgkQLHtf8/D1y6N++aFa9+C8IXa0YZRkTmPSRPFP6bq0ZfwOoIGDHb8xqwYrEcT2Pn6oRDEuqVQzKIc+893iec4lNgMXem5xcqi2NQDm8auna9J3aQQAfnnkDEyYZpmUdnT2wxP+z5Bk6z2WQriWqLHiYXoAgRNc3InPc0JkzVZO780Gf2mGzigmz/U2DbJZrxaqEkGCnsPrQ0AWyzC8+XERfSzPGB5k9XHhH+YsQBlE0CXzuODi2vqPHZPOB/VWPl05izPQ8Dw5VR3M7gZCOYf81InxsABKYoLgcKWnu/7FER4ZyoVn0uq6tbf512+bNsus1r5YzP3rEONYEhRTKzTVhsuTKIGMpkpX4ITW30hbCJIG60WqKgCKwuhCgB9oDXf1KzE3vm9qSCCiBXhKatfNGEsswaQT6MkbaTU8myDXVH0zL/YikeADvV4s8m/3gXx+8IVsgjzOI2N5KSGd2nXmfg2A2bdwoCYa7ZE828hYu/yDJ83h/f/kVlHGm6b3mqQkkCPH5fGXUUtopY2fPGiEdLQj3qKbFkTWrWuQ577j4WeJmzlhk/m3TW8/VjWBbqzQAEzeSlmy7brE83fYbb5T6tnapxyQngNj2bMugvnQgaCQ/yT5ezeeMeVbyXE3EtS1FwDoESJ7r6yv77vf7lSIWuiKKTiF01sh7JMyGdjTGw2yG1I52gj87ITWTDEMLGa8XkWh49ezYiFgKnJ3bt0sQabaHTpw0yHwp5y5X1gtJNzdIJXWgy10eW64N8/3BU6ckMTNjvqz6X04QnCBynJikbcqM6PJ5ZQsyMjZleVirMdA0JnlPPz9WjaaWbGNrd0Cu29ckMwfeLJNDQ9go2iSN3LSJZDrFWMfWLXmL8b6MT4wak10n0m37kGGw2ja7T8SN5e3y4uer3V9tTxFQBBYQsMQDXax+6EKz6+pZWf79d73rXfLP//zPyHSlO7JX291CMp1EuEScsmbwwpJQ8zWNPmn4p1ecPBudwX8NSHKy8eABw8NnHrPirwteYYY1LJo0WFFxdh3A1oHkMbOoZr9R/eexiQlk57OPBKWY1pyY4t6qpoXCSZmcsm9cxYxlY2fAyCbaBC/zVqyckBAXS56Xq58qJ8YnE2m5V0I6jslYuMlOTRFQBFYhAvj+4HdypY9VOPKqdbksAk2xbOY97+npkQceeEAeffRRrPgvhARUrffaUHkI4EOFT9X8ufRAMzzWkHOrUszzfOPLPGFc9GYsfTci6UigfSGGdJnTCr4dBaHkRMJWw6Sk99Dz8D7XxsYryqMZcdF2DBr3zJlHHkW2wGxhPjsaqq06mVq8C1kS7Tb+AMamxo3Nbna3lVu/y6UEOhcTfa0IrAYE+L3BRCqVPlbDWFeqj2UR6Ne//vXy5S9/Wc5gs9crXvEK+fjHPy67du2Sj370o9LX17dSY9F2y0CARDIGDekYvKVpu0llGf3jKQw/oGdv0549EsDyeKVGubgUdK2zJxGV1nnV+VCraEEYSk0ZQjmcweJCC0rttw8TnWqocEQRdjM5GZIEZPvq/C557V0d0tRY/Ui0tlavbOzwG96dUrEqp7wbK0NRkOhqWzXi56s9Jm1PEVgPCLjdDglAx7mShw/fsWpLI1DRL8+FCxfk9OnTBpHehMxqIUhq3X777fKJT3xC7r///qVb1XdqCgEmYqElsVxLQu1ieANWFGz20ZaFQRcmahP1DTKJJB+UeKMFqVOM/hqTAdyDlFojSS5kDgfGbPOqiZ+SZbViGOs0NjO6EPvth2yT1de2Y99ey0aawrUbPHNWPOhnbjzx6LnzCGdIy+PDLSDRVo+i+CFcs7vBSCRT/BmVl3RBSi6FbIAuhFZUy6gMgpkmHrWxwsiVztOnQtC3dcqOndWPC68W7tqOIlApAvyMBIIVUbyKdaQrHUOtn18Wup/85CflM5/5jExgKfw973mPfPe735Xdu3cbY33Tm94kv/d7v6cEutav/BL9SyE2mg+SS5JSKnEwCcv88yXOq9ZhxoW2Qne4aUOHoRs9PTYuKW7Sw3H+zPu5eQvEi5MCJqpYikhzectuAu0E0dtwLWT5XnqpWvAs2w41tl0IhUlj86iVRi1d0xivG8ZExoX7iCE4pVgCk6KBl44b1y2JPRZMKb4J0oasK46+M4Mjbe+GsBztryulakvLDo3EpL3J/vCN7E4boRyhSfE3tSIap6zFw+zqino+q8JRG+SZHSYGp05OIZwFctpYeWjHKoCaIqAIXI2AGcJx9TvFH3G5Vs5JUXwvV65kWQT63Llz8hd/8Rfyute97qov8v3798unPvWplRuRtmwNAvihokc3lftDjV8uDzy8rizCZE2DpdVi6kbHkWUxSim6bCP5B4lj6mxMoSUJ4hWfnJwvQS8spcaMX+H5o/Y8ief2zZ5miqsV13P7HXdIECokHH8IqhGjUAmxwvp+9pyhNhLExs+LTz41X2XnwYMgfI1YFUhKC7IrcgJUyGIg9tmTHmpg9584KZ17dsv4lYXwMG9yBpv3ApJMV4dI5va5pdmbe6gqr10IPaIXmmncq2GRyMopyOQbXzKZFq/XhaQXKZmaSiiBzgeSHlMEgAC/aislwFTyyGdvf/vbpRcZaWn33Xef/NEf/ZGQF37oQx+SUey3+a3f+i1561vfmu/UNXWsLAJND/RS1t7eLnyorVEEQLwY6uEEKc3/0bJn3IYPjN8IJMdzTRgZxLg5bgkzyiEcwIMNfW6EeVC2zo14akOBY5kQjyWqLOlwCv2duHChpHPsLLzhmmukHQk8TAv09Eh8OiQhZCq0woaPn7iqmkFkMTQtsnevdOzaWVCX2leH8BJcr0zWhsQ0MpH2I9X7ohUDvH9tV1gO95Xm4Tb7UsnfgN9Zlc2DuX2kbJ/DHxSPzeR51us89ynDBy8WS+GaLcRCkrymUxkJ1pX184HLmEF2w1kinDvGQq9DoYQ88vDgfJGzZ6Zl+476qsWhzzesTxSBVYCAx4PkZMHKJvr5CHQYTqFLly7Jj3/8YwMFOrNo73//++XP/uzPZOvWrYZz9TWveY00Q4p2LVt534BrGREd27IIMDyCYR7uKpBQszP8OWea6jp4T6eGhw0PMzeUFWskzV5KcpGYLeMFLbbO5cqls0jgcmWr8X5Dnont5gMHZbp7i4wiEUoSRNVOzeqRkyclNNAvm2+4QbjpkBJpJFPmFzAx4LE2kOzRM2cXkehF5HkOLHc0JHs6PXJqkD8Sc4Rv7j07/3RWcfNg9jjSiEcO2qgHPUts4/DwLni3I/DyP/LweWlopEyhyKbNATkH4hoBid63r9GIQ+ZScTEWgsf4xPEp6e+f/dx6kOWMJDwFMt4KNZNdiCuvr1/6J6nvyuLPO8+bmUninOrFhBczTi2jCNQCAlTfCAQqI9D5PttH4BTp6uqST3/603ItQhQZiUDrxx6bG5EcinbnnXfKM888I/fcc4/xeq3+t/S31VodsY7LEgQY3lFNY3tBhGQwFrapsxOpjmckBlLspHpIPFHNrhTdFgm7D4Q/lhU+UvTJFhfsvuUWacaXXq7xKjbAS9Bw883GNrHpiXHpfebZ3GKWvY5NTsm5x2Y9F2alrdgYSs90AuE4oaFBacKG5OaeHhkHqV/O6hNjcnBjgxwbqJM085VXwXZtr77Xm95nf0OTraNLJBaTZzbW1FwnmzbVy4ULU0bbI8MLab2PHZ2UEcSCv+zlxa04jo7G5skzK0skMjI5MfvZnQ4lpffyjOzc2SBt7T5sfnKJHwoA2amIJyZmNw0bHcF/8XhaxkbjSqBNQPSvIpCFAH+iKw3hyKpu/ukwHFh1SMJ2ALr3n/vc5+Spp54yQjb8cHCZ1oJQvpGREfPlmv2rBHrNXtq1MzCGb7iwOZDJOmjcQBVE6mM+2hCS0I843vDQ8GKPpVFyZf9jGEIj0oUPrzCBppzexp07lwWD9LOuqVn8ra0SHatehr8xyGGOI34uMxdXz1CQVhDqYo2Tq2qRZ0rmBbPCGYrtY6Xl0tBjdjoXwigqrS/f+UvNie+8eyfCRs5D/WLiqtOGBqNy/ty0NDTMbuijF3tsLC5nTodky5YgPNZB45yhoagcPXL1+dkV8vKfxnl80PYfaJKdu2aVbEiWGTqSayTaaoqAIpAHAXwWszd35ymx7CF6oI39Qlkl3/jGNwoftFtvvdVQXvvwhz8sDO0wbQYOrg0Im1zrpgR6rV9hm8aXBoklsbXb58c2AkgR7YGGcT4jqd6Cjau9juMSg2pDgtkxV3iDY3Y/6YWuB4mmhNxKWTc8BcUaN/ltgzf63JNP2hrOkdsfkzybx8cQwsFQjkwRqwveZERczqCkmAnIZguHEf+bhjpNlXenO+fiDO0dXn78uAz8qlfvBTF+UUZHoou6gN9oOXJ4AjHSTqlD+AU9ygytoM1MJw2Pczs8yi8dmyz5YxmPLSi7HH5xfN5bnd2BifG4dKgSRzYk+lwRMBCgHChX9SoxOqu89YvVjr74xS8KvdAf+MAHDAljhnG4sTIcgJOLGwhb4YB57rnn5IMf/GAlTa+Kc5VAr4rLVHudZBx0AqTWA9mx/D+71vWZYRvZcbL5au7cuUOYopsWGh2TwePH53Wi85Wv2jEwjCbI7q0IgQYZ7rhmn6H7XMp4SaI7sOGv79Ah4zSqlgQ7IBsI2Uo3ErHQ218Nm6VhxbW0oyMuVyY8Eo7Zq8qRSGbkkaeG5TWv2ADSbvedvzD2NJQ37DR6qpi6u5C9+jW7jFD073z7hIQRe5xtMZDdWGxxiMU0CDQfV3oXxy5nn1foOUM+6NE+/tKU5MY/m+cN9Edl9x6o7agpAorAIgRSUD6KUeK1AnPitzeXQNP7/M53vlMee+wxOYl9Lf/0T/9ktPDnf/7n8q53vQsrRVFDmWNz1ob1CrpQ06dC3pc+hNq2CzYoGTQinpYbljhjWq/GmCXe7JWYGzJjdmwmNG5KfHjr6X2eI8al9DMCT/SlZ39WVliHE4SRMbmh4RGJ4wsoiYcDfaE6RBrqI/ObEEv46GRwfmhwUEJV8kTXdW6QnptvMcJcSsHNLDuOvoahwczlOyN0BtcZMQSGd99QFzl/3ixq21839LwZD52ZS5hTVEPo4+mZDglF7CXSP3dnhzQECxPOovpbZKG0Bwlw6u0hilTd4AR1NmnK8h2amorIF79wePmCFpSowyZDbhRcytzYiPja13UZ0nZLlSl0nF6zJuxTGBgYKFRsTb9nxe/AagaIHlNq10+ucKjdUhj29PQs9VbB4yTP4fHCYVMFK8CbdF41dnXmLTaN39j6PDr/5BTZ8dB5T14jB9UDvUYu5EoNI0liCe+VlbrQGfyYk7g1Y7NguRbAB7senl8GmYSQtTCfikNu3Y1btghn3J0924y3mhHDlcQsfgCb2Vo3bzLIKDWnSTZi+JIYR71+ZEVsBlkluezF7uQ4NsnlM6qANGITX7UINOfFjBEvxjhZiYQxUaDMX2A2S2ECPyYeEmYayTNtLjTGhbqbEVc9YTOJTgLrUcRHB3EfBDCWYoj0lKvZdvJsQFHC5MnAroL/GPkbsIE88x5JwrPt8XhLkoI7eqSvgtGUdmoh8syaktiIODQYk27EW6spAopAFgL4fFeqBOUosMqWjzyz9fVCnjlWJdBEQa18BLDcz1AObIm3hESTPFNlw4pMa5v37TPGlWYSDmgdD584seQ460C2N+bZuOb2uKU7K00102DTPPBS18NzlW3dSBrCFNQpqBlEEUaSbWmMi2SwGkYFix1Q3SjWGIgwMzA4l8Bkcb+XqoMkuh7e4ek++8lUGN7wCGLuSNodJpnP1zHIvPWPV+crzYs0uVUzjMtqI3nOp7pRTDu9l/NPEos5144yL74wjolAWnpWQB3FjvFonYqAFQik8F0Zh2OkEnMvsfeokjrX0rnWfzOvJXR0LMUhQBINQkkPoRtLYeWYGbLRCK1iK8hzdh/+f/beNEiS8zwTe+u+q+9rumem58LMAAMMMDjJJUQA4iWSQfGKlciVZMoKK5a7DIkRUshymGHLFhWhcPiHxIjVSqIPWfZ6bS1lyiApkwAFgSQIgASJYwAM5sDcR0/39N11n36erMru6uo6MrOyju7+XiCnqjO//I4nszKf7/3eg/UNTU1KAja88RpLtTQVGDMQpaKyzlrfaWoyBZtjytU3Tm9EsgB5nnnjjVqnmN7nhWad9sgFPBypza5MOMLKgsDvyKOPmq6XjpokqmbEh4erFyHoGEWj3UInw0I+J41iLhShLdnvuyXFoE/mc31yJ7YRz9ju/nk9jXpib2tFjNtuoea5Mt6zmfqffOqQfOvps+vOgmbObUdZOi0ywofX65SJPQFT2vR29EfVqRDoBQQKdCKMb0TGsNKnYs7a+9xKW9vxHEWgt+NV69E+M0OhCwTarGsVtc4RkEJ68rZTJu8+LvMgoKsgnrRr1sUFW3Ardtb6+bU+9564R668/rpkV9dgO926tpKOfC6fV/ZAyz2CxCeUZaTiZrSMPO2yy8IlOzqEmZ2EeOkcqFdi4pOmKf0HD0oCMT995ZTdSfgVkJDTbCZukpTXa5orBC4Hcdz6QC/ivmN66+x66L2kjLjWJDqIiQZiQyfzHrm9SjJt9s6s3ZsP/EJnHQjt6nflaOgwSBLdzHGw8hz9+9BwGOc5eoZAs1+0LvrZK4sIfTcAm2Y/Unx3boKj46I+FQK9hABXmVo14aiOjtRL4+uFvrSXsfTCCFUfOocANNGMyQvPVK3N0r+l5utRF5ZxM8Zzm8kze0FSOQr75vDQoCxevw7zg1JoOUbJsFsYdmwaGfeYLXG2BQ1tH9KiDsN0YRD203R0qYzJSRvtA+95jywgraoTJH3PsePCJTez5Jljb+VBS/v3CBxxNIG5gX9ysvQdeKdxbWlb3Yp4I2HxMTtendWN9NqaFKtMO6iZ966VHMP8aDwwMCGXl4zZhDfr6/d/OCdPvHdY+sO1Qys2O9/Mceqe/X1lbM2c2KRsoZA37DRYXdXaWhoRNzZCzFUf7/Tf+KkhjJ5bRseCuPd9srpahEVZHg5ODon2tT557fR4VHsKATsQ0FbtoOBoRajFVlIfAUWg62OjjphEwFVFYmgbzXjRWtQKkGoXfoyM2FFNpgPIatRJ0ZKwIHblPEw3VmDSMdCmgO8k0UGaXET7xAktKc0uzMheBKkfh3ZXl1qh/AZgL86tVXE2CWFmqX4Q6/6pKYlBM5xqIdpNYLCkza7XBw/unwzMcxqJPzYjxwdS8s7SSKNiho/NIcRauwk0NUi+viFLE6JmA+FkzGjUjcq63n13Vs6fbU8Yw8NHkMTH75bbMzFkMWscHWgMZHkcGSgp+fzGE6U8d0d0oaKmIY9EMaHHpN4+oWabqxlW1mvs64WqSSHQFAH8GFpRjLD+VhOxNO3jNi+gCPQ2v4C91P08I3LgR+ssawoZ4i4D8whN8BLLg0TyuG4nTe2zE8etaEztGPfw9LS4O0Dexw4ekP7f+HW5hYyJt5Flj1n+9KWx0OiIJJeRZKIyVBuwCoMUD4F8dko8uHZBhCtKwJnQTqFmOIS0rgU4VmZgzmJFGEavZgQOt6sUXIXr9wbEkaOpC++61gnV9ZtJObIvbDM52xgEU3eLL6BFfNnY291vly7OyfPPXTES0MZURw8e6kMmQx8Ib0lbPD7RL5NTvKYOmZuLycytOJI0uJCVcGAdD5LmOgsS621zvrq0VEBiB7vNOToXvnB9MOqLQsAkAjn8AFJMLNaCKALdGDxFoBvjo45aQCADwkOts6Z9rjo/D63sup00ynDpv1sEml2LwlaXZNZeLVXVoPGnD9ruAzDp4JZciyHZy4JcffXncv/HPia3zp6TW2+/LT5oq5evXtVC6e09eV/d7Itba299DyklQ/IlxF4CrfUMqw6RkVFZgUMKQ9Px3mDSm3zlpMHkEGj3bDbdeDGVkLvD16To9mMil5ei0y3z+VG5YyGoRBqppbNwXvPCFthuyYM8eyID66nr7a6f9Vm533/0w6u2k+c9kyEJwv6+mgzrZHpkJCiLCyk5fGREa7u6XDNslpcQcrEfk/oG4bia1bFxnK9LH2g9TNU0d9at9vgbZdU3hUB3EeB7jZE4WhFlwtEYPUWgG+OjjppBAMQo1yTsDR0G03CI8+CH7TSoOTTTBbNlSd4122L0vVMSgE0vN9pjU/aDLHOjvPi//x+SgjnCuX9+Xh781Ke0fZ36xx6SUae3YD79sI2mWQKRpo3y4o0bEmSiHEwuOGaavCQQrq5SInuntmifeQ+ZJc96nUU6XGKjHpoyOegFge4v/WHi36EBZOGsk847g3ub95QeN5sTBgonDd4mtv45OEr6YPJjxbyiuvsMU0dhnGddmDSFYtbnYHk5jjHpqOm1tf6ZTjcmoYWCC5kGS+TZamvkEF4v7ruWfuM028DES7t72ZMwNs687MeEtStRCLSMQKG4JUqT2TqrozyZPX+nl1cEeqdf4V4cH0grU4EzAUsaDmadtoHuRUj0Pp369KfkEjIozjWIWa2XteOzAFJBUsvF81we6ZyhBc+1uOxXr1+6o59OOQaRuEYjmbgPQsgMSskhQU0GToGUIYTIq2W64QA59WPlgqR7naRqZ5j/Z/zwfnlkvCBn3o1LLL5hChIKOuX44ZCsIhV1Cg5zs/PZTY5zM7OpLRroPMaRpVYdnyVjhHJ/aI4B4ViS0MYz/F+tVReabfj7+nGsdZMDkmedOGcyKa1OdsNK6LqXX7oo588t2k6gh4b8smcPEuToN0QZLrs/bt7IQ8vtgM20VVxJmwObulXSQpNUN7bV3nSSwT9ozx+7dl1CmDx6+/s3EX9qFVOIeJNPpcXp9WClIiL0AVCiEKhGgOYXrWqg83heKamPgCLQ9bFRR9qJQPmtmQGB9iFSQy1C0c7mK+tm5JAMHhROfLqh3eym+PEyvPuJ98vQ/v02WevWHw15C2MMcyJD6siHQbC/D3brsEeF2i5bJ6ti/RpNHkG71RKZmJBF3hNIUlOLPLM8r5cmNc4vHWj+L0nH6NG7NHIyFHHJe++PytsXYcAyn5Fw0CUPnQAxAQseiZbuh+PTJQKVgRY2m4OJBbTP1DIXUIbEOYf7hzg2W8fgqksaGnAfVmH0e163d/YiC6Qd5JmjLxY3sPV6/SXNv45bc3jWS6RSGXn7rXkNJ55uB9kNBt0yfQCOtU7YtreZPOsDSSahjUNjxrXQvJK85iQQW22e4aJYPoYPuwVAp2Hixa0foTcDZSdhOoTNvfhSOeHRRqNRTDRJtpUoBCoR0BJ6lZURlftNfbfwzDBV/zYvrAj0Nr+A27X7zMzHGbIDWjm+GHQy0Y3xcDlbX9LOgjiyXy5oyLl1S8YOTCMUFzIawsGwGSmz2kdSAN2MRm/DC+0otxQ0wW6fX7Igs7nyQ9g/PKTZ5cZmSuHhrLbb8DyMeRCEgJktiw20H1ZNOPS2x5DwpnKyRGuMew8F5QS2HJY+SZ4rRTeh9cPmmRulUMghpXtWuz5VxStP3fLdCSKXxvj8INGOYNT21Lckim73htkGO2CcOJa6y98AJwX8PXzy0/fgnnDLzRuL8qMfXt8yHjM7+mH6cs+JEVldgQ16h8gz+8d5sVkMSJwdshnHjbG2j0Cn1+OZY3IGTTNXZWjeFL95s+ZvIoG49h7EYPeWV3E2+qi+7WYEbLGBpv2TkroIKAJdFxp1oJ0IkEBnQFD9IGtgz+1sylTdekIVPnyolXZhBt4tIk0i6xjoh5lLCslSUnB8AwkwNZr6hfn6dyCRRj3xl6OnZLBMHAcWHmilw/oLes+ExJggBSYfdosD7RToaNhIqEnEpKcRwa53OmOOj0GrVyskIJUtxNdbx7a5uk4SYatCbXUWE8cg73+bxWqKbnaDWvVEgmYJTk0bTi0xb4WZmSV54Uetkedo1CNHjgzJ/v2jkkln5erVRUkm7b+HasFp3iqG15a/j3rXp32vziImcLqsXbok3MD+66r/GR6T2VSVKAQqEeBEulUbZr4HldRHoHeYS/0+qiM7FQG8FFJ4+M/D5m8VdrfUevWKMGEJbVVJtEiks9i0pfYOd5CEPhyNSB8yNfrw6QzAkQmMZuMVa75D2rkgz0bIOEn8wNiohGFSoQvJdRSmFu2Y+Di0bIN6S1s/ab6RA8mzQp5ZG5O6JKDVpxCHysQ02s4O/cNx+JAgpR0rL+Y1rRuDTmKyRtJcaUqSSKTlxRcQvaSVmw5NfPiXjsEhsJS0yOvzyMFDw+24hTYGU/GNvpML89R6mxlEfZLs0Kzc6x+vaNrwV2qaVxDqMo4kT1ukQb+5MuRs4py6pT61Y8cjoGmg8d6iHXMrWy2g/uiP/kg+/vGPy2//9m9jInxVK/K9731P3oPEXvp269atWqfuqH32PgGqoFnD0u93vvMdWQZB2rNnj3z0ox/Vlsrfeusteemll7T0yR/60Ie0Y1Wnqj93GQIJ2IWmsKwdhW0ql7Z7RTQiXe4PTSqoCWoH6TEyXh+IqweENra0bIj8NqqTkSzojGdVSKzdCD+Wi22kRLdaV+V5JDhO4F1gtIxagokNiUYrsnTxomSh5S4iG18YMap90KzT/r2T4oRdsofZFW2WPGzadedBM1XzvGQyjdt7q73v6mpykwOlmXr1svfeN4J+bX7dcHLK2M4Xzi/pxdr6ubICjRys/YeHYc9hi1A7bZ+TVRYTu8RN86QjdQc26sgA6oX/gn942JaRqUq2PwKFbE4yLT6f3RURfHREvvvd78osViC//e1vyzPPPCNf/epX5etf/7r84Ac/kD/8wz+Uj3zkI1pR+nnsdNn8RLN5tM899xyW7I7Igw8+KE8//bS89tprcurUKQ343/u935MFOEl885vflC9+8Ys2t6yq244IUMO7DE20F+QpjKV2L7SvvSQkjXQA83bR5CQN8tgK8SWepIolTa91As162qH1KmJ81BG6MJHKx+MlLTGIFmwLEL/ZLUwOgKUKNt+SxGA3SonPzmmf4yfvs90WWau4zj9Mud4eMTcRSCSShFa7H2qRZ/ZxfLxfPvsvT+B5HZNbN1fl3NlFw12nzfNDD00hzfbGCkblyfxNdVJWQaJppjIyDBOVhqY6tH/u3AItJ46xa9csQUETDmqtk8iqmt2DCDYw2Kc9NE1BVhDNJ3LooAS5YqRkdyGA91SoYkK1ivvDiPhx73jLJkHe8FbTIGqY3/ve92pVBfCevgnbfAr53V133SV/8Rd/IZ///OdlzIYMuVrFPfxPWwn0E088IWGExaJwKZqaaGod+LAg6HNzc5o3eiU+b775ppw+fXp91yjSLD/22GPrf9v1hf1hX4YQh3a3CscfAlHpVSG94yvMHCVo72iYsa+bwogltD3OUUPbApF0uZwCH7iWJIwQW4uM1IHfs53C612AqQWWq7QxJvHcIFlvR1D/SRBnDzT7HRVou73B0nPRznY17b3u7WiwYj9szpNJ2vo2/pV5YQs/MTEgfdGgIQIdiXrlyScPSSgMO/4GZjlp2EJ3WuIx6KELDjl6dACTJoSCw7ug+j1ALFdXEAaswRzThxWEcISROlqXBJRJOUwYWxES6Vh5Ob2yniS02mMHDoi3zrO+198DlWNpx3dqSnm9dUfydrTRjToZiacyDJ3RtN58zurnFZH8qlr6yuZ85HC/8zu/I3/913+tFdG5HYnz+973Po1Q6/yvuo6d8ndb2YAO9IULF+T111+XL3/5y9qNet9998nf/d3f4cGdlE9+8pObsCTgExWz5X68pOkJbrdwGZ62gu2o2+6+tqs+PjToad/Lwtc6l9d5rfTv3XLq0xwqSBbRl24JsWASlgLMJ5jRcFMKcKOdQgrsVsi33gx/Q2HYR8fnFyzbJOt1VX5qGmi81GJMqkK8Ie0gz1MPnur4S5NL7f6BIXG1YSJWgEmK2QQsvIaBgAe3A8Pr8WXZ+N5OaGRbuyQ1//F6nTI4FJCDBwdBLptPTFZXWzPHqdkJAzuTiZy8eXpeTj04qo291nsAQWgkEa+vhc7l4Aia3UowDDS/pUgMZhjtEsZVf/fZ70sQfhSRyT0SRUKjStkO74HK/tr9nRMo3v+17gG72+pkfYVMVlZulLTDZtpNLMKkihskNzRY89TLly/Lpz/9afnzP/9zefjhh7UyNOnQ5dVXX5Vvfetb8rnPfU7ftSM/20qgidiZM2c0kw2aaVDdfw3LVNz+4A/+QFtK++M//mM5fvy4FjqL5Q9gpsytUq5cuVL5py3fo1im4I9mdZXZpHan0BmM4cq2m4RwH0W64HVOe2g6E3poUtBlYVgrfzgkiTWYM8DWzZRAq0BaynTYVLExIoRV8eM6uCY8pQd1mewaqUtzBkS7JJLOspqPJhp07aMpTxKrU+0Wxm9u+wOwYhBMWhMZnWiLDT0zDFqxfWb3SKJLcaMbk2eW5SRyejqK5DKIe43iGSSZSaVyEo/n5OFHJuTAwRFMSoz/PlzO0gSJdXdaBocciDiS0DTQ9d8DEUwpao+HQWhKEwDixjIcC/wktBjR+DAhadigt1M4AaXZErckxqzHlmab2/U9YBde1DzTrKf+PWBXS9bqGUTSKCtCc7dkvJSUysr5PMcV2GrHTOfAz372s/I3f/M3cvLkSa1qcik6FX7jG99A0iKsUp07J1/4whe0Yzv5n7a+P87C/urZZ5+VL33pSxqoBJI2byTSlJL2w54lMK1C9c+uQCCOlQs+8PqwWtFKxAEjYDEtM0kDiV5l3GAj57a7DPsUwnJaDBrg5tRnc2+0Vz7e90XE9yJhdZggv5trKplnDezbq72Y6dC0STjZKBPkyv2MpJGFZoxrSwzBRfeu/EopOkZluXZ99w8OrE/a29VGrXr5zLNT6PzH3wK1aFZ/Czw/kcjieVybKFb2d2Q0KtyqhfbRAwNMBGN8fFz9mpmBqU4XJBDAZCZipK/UMNfGpbQmttlGtKiVjZXPMaqdRmSZeJPQjTZixN8oMxi68B7W7xktFj9/q0p2DAJ8b9GRsBWptfJHp8EbN26sE+RDhw5pxPlXf/VX5TOf+YymlDt69KicOHGilaa3xbltJdCcjfAh+bWvfU0Dgw6EjLoxAM/3v/3bv9VMOB5//PGuvMi2xdVRnayLACN2FLB60I8XgZmXdt0KywfoJEgzCT1kHbXNWsxhEEymaXabIAjN2rLjeKJFL2sSaWqDWyHQ2jhAxrMVJICh9hgtg06BblwjPFX1YpJHoyTPuuSq4z5TtdkCodfrbfTp4+SrUYE2HGPc6NXbN7SICf5ov3hoI9Ci5LCa0Kq3O7VHjeyUjXRxaMi8TTc1f/w5ofmOSyRq9OojoY+WUMVYeeQyRXn6lZCMkhQ3IjAsQw2fBxrhAxIHKekEGCmYRnGj+GGCtXLlqrYaG4S/UXhqUsKImLUT5OJ3vwdzqQGZfPSRnTAc02OgaQ5/261IZUxyvR46CXKrlt/4jd+QX/u1X9N4XS/7VlX3u5W/20qgv/KVr9Ts2y//8i9r9kY0OreT/NRsTO3csQgwPvMCtJYDMMcxox0mOebEjlo7PmQqQ5hRI1Orrnr7uw0uY0SvwfZVYO9mRPTHKekAF5x1DZSRcxuVWVtaQta0DXMgapSLZd8FZjLUSDSw1ggC9rsQzzqfxoQEny6ESuJ1yHOCAqc2FuN3PZTdejIAG4l1YmFRBip8LRqNzc5jWgQVaHxT87OSAoEODY5YfgbS7MIOxyfa8bZKoK1i5EZWx0yGd2JnZWkRq0qIwlFeDG3QOAkwzTK2LmXXO8lRTv1dItIsxfHRQbBaI+3GJK4UhcQbHpDxxz8my2d+CnI7y5M6Ihn4UfC3RoljaT41Py+B4RFxwWl0Owsn7wswI2DipD0PP9S1eO/dxLDkRGjsvVCvn/m8ufPJ53YLeSZmbSXQ9S4K95O8KFEItIoA7Vg1Eg0tp5GwdyRqKwiVx1TK9BaOgdzRDpJEks6JJM99XbCvbgUHB5beoR+vWwVf3yTM2uu7nEBFpywk1MZ0a3Wr1w5Eh4ekALOIRTit0FY8jxdzpejpwPV9cOEVF3HG9dOJMrM+FkGqKdTWcokZDwrJgJzjAokX19iB68NrSJadacHkI4uIB5xIVU6e9L517BPZJWMz1xGyLyJuxIV2IjKKGa00YaASolWxQwNttQ8e5EzPZKqJpdXajJ/Hud3MrTzaTkGDj5CJOdxv5RTtpVrF3KuaAABAAElEQVRo3sEVAoazs/YL2TgP97VQQ08SrWuk+erdvAJBE5rw9LGOEmhG7qgUkumrSIgxCL+k/sOHKg9tm+8pRO25/sKPtf4ycdIyHN5CeNa74Ji8fOmyZpI3dOyobcqDXgWmFAe6NdOgbGhDKdKr4+xmv7pGoLs5aNX2zkKAhGoR5hxBJhoBoWAilnqa1Tg0EyTP1cI6aJfLjXUEUcd2EQdCl+lEmMQ4D80kWCxIJj/xGoe2XU+cUk0Fqv+2OmYSUWJHYpuvNsmoUal2fcrLi7WulX5cMwFB+C0XfCeKMK+pzEDoQ4Qejo/XjtrvSg14jSY37YogHXmtdjcV6sAfxL8AR58MnX2gkTZDoNk9jr2VcdD+uZ6NL+tvp2RhnxmPd548V45pYT6LDIW3NVOSQJCTaJFonxdmhTTxsevXgdsU/xWF9tL8heKa1dFduYNRbQKqRfyp7GgbvnMCuwanwmrhis8qwuH1HTyw7TS3qzCDufLcP0uKk+6yXPj2d0rPQT4rys+cq88/D830wzLx0INaqQwm1DHESeY2cvfd2vNGP3+7fvLZYDR0Xb0xMrKPkvoIKAJdHxt1ZJshkCibEDCrIR0Mq00xaLYRM0Du1qC1oDbat01WSQJ4ESaQNIFkk+S5FNVi84Ov1eQrRm4FOgh7QkEt2YyR8kbKkBzSPpvkuVqKFRMhEmxq09bNPcqF3SDfBTjaFajZRj0M5TU0vV+7vtX1dftvs0SYy6XUoHqhvbYqqVQGBLx1LbaV9ldXW9OOWWmz3jnkVYwPHQxiFcAT0ghvvbJW9xtLzIJ7HfdpJ4QTXSeecdVaaLZNH4U4yHW4KuRdJ/pltQ3Gxr/wrW+vm6RsqofPkApcqWm/8fLLkk0mZAErWxd/8MP14nNvnJb+A7BJh5348c98en3/dvuiEegWCXCrNtTbDTOz/VUE2ixiqnzPI8BQczTr6AN5qkwLziyHRmUZGokoTAgC20ATTSIVREi7DFIl5ys0L0bHame5vuFhWYJmsdJJ0M7669ZFm3aafMAxjcI03U7EXCbx1qJL4F6guU8B2j++WKgtr55g6XXr9MU+/aNec+NPEhmSfeonn/v+eaS5HkQY0Dn5yC8dr2vr7HJ5tCgcVk05nFy94PJFF2RhvncItD78aBSmNA0Sv+jl2vVZZDi7CqLXrnb0epl1jklcasncq68hFXRMBhFRYTsItc66PbeR/nKyfRtjrBaagNxGVj2ai+Xxm0yASFOL3Y+J9xQy8HmhnNkOQhvoaoWC6X5rK1Smz9o1JygCvWsu9e4aKEkSCXME7MAH7SQJk9nZ9Co00RmcR/ME1heCiUi3krg0vXroYxYa6E6Tvsp+0RwgvorQdCYmKpXnt/ydTLCslSYOm7Jo4Rj1rAVECpk7847WlBP3xSjtPDEBIYfkRITabv/gsGaTHIOjn0bEO8UwQZ6W5hfl7IVV+afvX9I2drSAgMMf/PAxOLxtNSsicWYMaKsEmvc1N7Pabw3AFv6Zn19FYBZ9qtJCRTaeOjoagAPU5rB0NlZvqCqHG06FuA87NatxNVhlI/nSwlLaRKBpTrB65YpE9u5taCJx68cvwnTEIcNIuObBxNeIMNzarVd+ZqSo4TIc/8//4t+vl59/5ywcE8/LFFJZDx0/Vjez4/oJXf5CvDM1Vu7MdCtTscpn5rzdUlYR6N1ypXfpONewTMnNqjBcni5JfKdZRwha6W6n9Nb7xE9ODlJYctXSX1ce6PD3NAg8tTWd1KC1MkRmcbwNMu1A4o/97328ZH8MrQ2jglD6xiclnUCUAmihciCp1Gi7QbrBNiW9xgRMZQKIl7cdExfWMXtzUb71/15k8+vy4o9vyE9evin/1VeelHB4a9x8L1JK0zzJSkSOIDJaxmL8fXT2VdBr2ucATDdCNbBdvwgd+pJdW+wYeeaQ8lASuMshJ2sNMY2VPDriMZpFPUktLsoifkd0+vUP9EtofAKx3TfKp6HRXX73XUki/jQdjLn1wUSCQmfeGFKN5/H7YhuMh53kMwSyfPGijIBEG5HZN96Ag+AlI0VbKkMb6us//rHMvPaq3P+bvynO8opXS5W26eQ8Jt6tEmiGblVSH4HOPjXr90MdUQhsCwTSIFMMnzeAZbxeyEgYwwsuj5dQNySD0HmpeEw8eAFz2Xv1FhySoM3cbkJNdXJlWfx7prZ03ResvVzrR+QMrmhQa51HZJMCbNCzyZjkNGK9pZotO4hSJek+dyUmq2sZeevMhvNT5Un5fBEa20xNAs1yJWcfa49zarYTiQzG0hlbaO3F3oXQdZV4Vn4Ph72IyLM1OUxlGTu/F7KYsOQQ3cDXtwXz9AJ+Qx0UN55jqQYKBpoVXf+n5zRb6f4jh+FYeHBT75IIe3erHPGCB2LXr0sMz4Ghe+4uJYfBZHP+zTc1B1/G0w+Pj0P7jFCV+O0kkG107uev1rTBZl2VK1nUXK+hbheeNePl1NEsQ5lB2uibP32l9EeH/h1/4AHNxKNDzVlrBhi3asLR6vnWOr59zrL2xN0+41M9VQjYjgCXvJdgphDGwzwAjWSnl78rB+SGNpyJSKwmQgHvk1QBUUdcm50OK9uo952pYhNzJW1RvTLbYb/Th+yo0T7TXSV5prjcHs08xOMdlBUQ6EpiXF1pOleQb/4jiACWqNdiWZkYD8rB6Yh853vXkYBg6zU4fs+wfOrTJ2Ba4NcIezaLWNlor/KeowlH6wL7cLxwHQ7EJgbpsSL8XXBStbaa1OZRQ8MR7W8XQlvM31mT0bE+2GsXZGlxI4mOlXbsPicWy0gkmpRgAy2rXW0WMmtSXLoF1S+v9W0pDE3CZMOD/0umI7kWUy+b7WcOz7EA7KDpN1IvLCTNI7jNn35TFs+e08wvaGKRSyJREu6ZamEs6ZsVTnn6cUbQWUN0D25GzFTSS8sy8+JLyJoYltXLV7S2SOKzeN4xzjPD0nlh4nEL5JmrSZ2SIZi0TDz4oOXfSaf6CeMs7TfdSnu0o1ZSHwFFoOtjo44oBOoiQLLAaB006+hHFAyrNqh1GzB4wA8S70EGsTT6kk2ltZjKeLc1FJJmvUws75XVlEt8IUQeaXJedaVB2IvGQTq4DLydZeDAIfGHkS2xRcmD3DaD8MLlmFy8tEEgZ24n5dXXaztxsTvvvI20y+4z8iufO7UeO58vNdomkujyPizF1G/Wcv3B8d6NRBCtBGQoHocdPUi0FXnj9Wvy9b8ypgk8emxYnnzqaM8sWCwuJCQ4tWF2YGX8Rs4pxubL5LlUurhwU/uSh3kQb56+wX7x43e1DI1rp4SmE1oWRAMNkqjaQlZrEO/q5qn9ppZauJVl9TrC1P3wR+vOgnToy7do56vXbfSTCVpGoGGPwpa7l6WIyXoO74RWJFeOy99KHTv5XGtPyp2MiBqbQsAEArQ/XoAWh8lXuhX2jgQoiBfJfNYlVxcRhgu/at1EAAo/ECKkbPDCOc5dkGTWKakMiRf3b0RgWIbd75BvQ4vD8xgTt5kEYPMY28YEOoywdiMg0HYIbacdgaAUERqrnvj95s0kstmCprllnbzWzBpIu2e7hRp1arppT80YzcUi2zJGzK9dmzdMntnvc2fnQaCPaM5isbWkLC7EtTEePDQKIm+sTTvHn81CW4eJSTsjcLD+ujMGRt8oixs2+Z0SmkSsIHbydhFO1kmak7C7pjBKSDdk4fyFnifQedxTdCxvRRgaUEl9BBSBro+NOqIQMIQAtYAMe0fnQkbqMEo6DFVepxC1hWfeXS2tBKNMCE5QyRSX2xCNY+NdvH52POlAHrTNjJgkWpelmEu80IJF3Fhmzboljq0fhNrtQLrozafpp2ifnkoiBxtHsK9SKDl+bgMJDAzY2svQwDBWJq6ta6JdYaSZB0bJpQVkVyzIob0h+S9/5x559a0lefY5LOUbkHfOzMt/818/I5NTEfnS7zze1vuLJJrxvLmloX3KZHJYbUc4QO1mYcSOkpkJeTXvc36+eXpG/v2/+4mBkWwu8j9//Scg6rxnN+TwkUX5xQ8c39jRoW9uD6I0dyJ8nQFzG4Zb7JjwN7uNhJFzdPLcrW57QOD3P/H+bjVvvF38ZvmeaEXo26GkPgLb69dTfxzqiEKg6wjEMVunSUcYS6J+ROtoB5EmobmOZf9UugCCszHkldXWHpQk3otxjyw6PCA1JQ1gLMkEHUWQKfg7QXvtciLdsQPOcrCZDvcFxZNDhIoIlpz3l8bqjgyhPNg2WFX69iXJIAwcYrBtdLIHv4WGR23tlWYXjYmIFs8XNQei/SCgSBEPEGPzc8gKCRvheE4OTYflWZMt37q5JrO3l2V8wl7SX68bPtiGe7CcQW00zUS0sdUo/Ohjh+RHP7wsb725sdReo9iWXdXkeWw8LIePDIGkI6qJRTOSLY0Y3JFJF2VlZU36+lo35anbZAFpsytnrXUKMj65A3gXYcKgZDMCSUQb6rZEp6YQkadzqwRWx8tbjSEwW5F6BPzP/uzP5Omnn5ZxOIX+1V/9FUzA2vi7aWUAbT5XEeg2A6yq310IFPDUWoWTSwwkUnMyhFbaTvF6oR1O5EFq7Ky1VFc2V2vp3AEtJMMrb35hBKOIP+wuETlP3/iWzvjGD4pncEyyS3PiHRyX+MW3xDsEW+1ZaF27SKqZvnjw4CHxweaZUSd8cKCyW8IjYwh7l0F0ksA66aSjoa9vQC69c1X+w99dhqLe/IstGPTI8EhnX1QkzSTS1UJnwNnZVXn2mXfkzlxcrl1dri5i6m+Pxym/+rkHNLycmKgVi9Ruwykxy1i2pqoyVJiac5/PqfHZ/v6Apm13ezbf44YqMlOIkwI/nAVT9U18WF0Sodw6RZ6ZzdPf1ycpRPPpecG9SAfCbkoE5Hn42NFudsFw24wDzedQK5KHU3C1vPTSS/JjhPJ75pln5C//8i/lT//0T+VP/uRPqovtir8Vgd4Vl1kNstMIaEQa9nrUJtkdMzoYcMpK1dJ3p8dHRzba4tYXLIl7w+IbC6EIJhPHHtY+3dEhhLdakez8bRBsaH/xUqQUEH0guwQHKyuCOmjLqTkzljV8ftg2jx45ijitLoSoY8xm8JbVFRnjvjZrj7SoHCDM1eIDof7W925ZIs9a/1M5uXjxDiJ3RGVpGZM0RI/4yUvXZXg4KB//xIl1sl7dbjv+ziH03//4PzwH22VzNpbj4yHx+lxy/dqqRl55+UdHQ3Ly/gnYd5deR7qSlp8etwMrHwgzmLR3KXlgwCv9/RHcw6VJY6342nbjxglbITomxdTlhlV3kszSIdAXDmlEi/Gee1lisHvOdFkDffCDH2jLpLsduFN7zKg9rUgOK2bV8sILL8inPvUpLe785z//efn4xz9eXWTX/K0I9K651Gqg3UBgBRoTxoy2msEwCy0CH4QJ2GuQjPPvXIvLcnbgQFMSv9/I40PXapc+nb4ICBS2wanN3RiERnBPBiR4VZJXzoFR19bQRvbu00JXpZYRLxnkZ/jgES0MFysjTnPvnkc8ZoT1AzML9vVrbTBmsyZ7JkufXfqXZO2RRyflu//4rqUeMBb0//o/vbrl3PPnFmA+MSu/+q9OysGD5kxSiBmJKkPN6ULt8tpqQqiRrUUsb95ckv/+v30GWltz5jkn7sUKBLTJxOHY8QDMQhAKLYe06jCX3zNZulZ6HzY+ndrEIBTi/YDfQaLU343j5r+FQkjk0R9eJ8/mazB/RiGfkeIqVl9qEJLK2uiUnOtwXPcsNN49LXSqxOSDSV26KUw4w227iB9mFQ999jPr3X3lP/19zbCD6wXKX/afOgVFwyHtLy+coqvlBpxO7733Xm13f3+/LNRJBV993k7828gbcCeOW41JIdARBOgQtAitiVFzDpZnohYmbOF3vlB14X5KWVGn7+7KZwoxi+1+lzhcXnGHhyVyArbUYHX55IokLp3ZRKaTS4sycTe0rTUiZ9DcYPyuY13Bo7JRRrF4+y1kVwPhfeDUPo2ocd+F87PQGN+oLGrb99XVjFy6uFCXQMfjaVkFKZ6osJ++dHFW3n13GROPImx/vTI4GABh9sqVK0soS7tnh9x3chwa4s0xsn/+s6t1yTOnSdW64mjUK9MHBrXU3WWFr+b8Snx0IWlvLCT4mBQFkS4+vvGbaHxO7aMBmMJ0xGEQzWsJbgqIaDIPrTN+z81k5fbtZkVsP+4B0UogW2DPCBQFnADrZixZzLpWb5TC/XWzj16Ye7noELJNJLm6Kj/9v/+T6d5eRWIabpTh/fu3nN8Hk59YOfpJAgqiEaz27VZRBHq3Xnk17o4hoJtzJEGKGanDC8937mPyAp0oU0NNwkwNczOhvwYT3lFz2C1JZ5qTAet9Aw0D03IFByRyz3tkdCQgSzeuy+L5c8LED3MXzsr40butV9/GM/O4fv/ft8/ICy9c01rBZQXp88r/9X+eBvHbuhxqZ1eCQbcWNePtt27K4mIK9tIBOXx4TAIBj7z6KjLEreVgq7wkfvwdWyOhLk3I2Ifl5Yy2VfaHod3eOTMHW2E3CDZNcQSOdnF590J9U5v9032wWc5LIsWEKhm5+54RTeucStW/WT/0kUPi9Rj1FXBg6bgU7KWyr2a+W0l5bqZ+vWx+BZOleMl8SN/X6JORTvItxu1tVH+tYySqK9ev1zrUtX2Mac+Y6iEkN+JzMofJXy8IV06YOIaYbQcZ3r9PTn7soy11NTq6lRw/gCyML774onz2s58V2kPfZzDdeksd6dGTFYHu0QujurXzECBhXsZWS4wQZ/28RuFk9TLt/mQmvY4ImvH4/DJ66Ih4An65c+aMBAdg79FjwkgVNG34xt+9Cae6jSXx//gf3uxITx84NQZym5cfv3AJmt7S5ObWzQSidlyGZtmvkWd2ZHGRNpHG7SITcFj96U9uINV1EOYTWVlaysi9903J6koGmurNWktqrOcw9mSC5j0uOXSoHwSIZKM+eQ6H3SDPZrR6cGpE3blYXiPSJPfUalPTy7knSSgnlvWcbDXuwwJtlkIO9sQmyDO7o/XdwATa1q7rSwK2Vmq9Ml4ZhqljcpTU4pLm28BMq70gA4cObhvyTLyOPfmEttmN3Sc+8Ql59tlnhZ+3sWLCaBy7VZABuANPkxbRvXLlSos1bD09iuUYhmbazfY7zGKXajHQ+lZkt8+esbExWYN5BZehtpuwy4sL3et1KOySaHSrfZydPXIgBvXwcBhh9LY65NnZjtW6+OhcWorhJbIq/9v/8prVaiyft29fVPpBjt0I1E0NsQELActtVZ9IIjo/jygc33t3/dAIVwoW05rpir5zZDQAExCk9K6jfL//gTGZmoLJjgkpObDSFtoJ8rxVG+hw5LHEXHsl58DBwbabbxQQK7u4eFUkbc7BcmV+QVIdtid14h0Qm0W4yV4RvpPf3bineqVbQ4i8Mf3UU+JC/zot09PTnW7SUHtJrBQEELJ1N4vSQO/mq6/Gvm0R4HML1iDa8ng3BtF+DXQBMUb7OhpZwiiOeUSgeP21a/LSyzfk+tXuODYFAi45fNeIpnVlvztJnvX2hoY2T6DCEa/M39lMGu/MJTVSfexumnJsaH5JwO86OgTybH41gaSZap9a5Jl9Ywg88pxqLXQo5Go7edbaX7pmijxrE7FbM5LtQlY9mkj0kjg6tbJlYtBe2Mwd+vCHTZyxO4rudvLMq6wI9O6419UodxgC3V55pf1sKMyXL9bPbZei5sxWL3GH7c2ZqHBhYVX+9m9eldsz3UkhrHc1CSdOxnmFS6m+q+OfjGXtcjnWNc6zs/GafWC5s7ClPnb3sExODsChcAAmHkzMwr5bu3/qkedSB5hNEaYhXoZaRAZOOB2GI24ZGrI/5nf1gLV03SY1z8z42A3y7EJ0oLWb3XfOq8QwvrBY+WdPfA/uYie5nrgAPdwJRaB7+OKorikEGiFQY/W6UXHbj1FzRoJit/T1+WqGT7O7HbP1vXvhtnz9r35m9rS2lf/pT27Kw4/ua1v9zSp2IWrKgw9Pyk+hiae4tVB4tU0nGK5ubCwCp8I9zaq16ThNO0qa6tFIXAIg7I4i7UiMOita7EYcDpZNtLo0m8sgdFyWcZfx+8l3w4yOE4teMt0g3IzZ3mETFiNXeeDAASPFVJldiIAi0Lvwoqsh7wwEBpAIcBYO6p1evid60Sidt7ban9qBbFZbe+8d2zpOFF740QX59tPn7RiebXWUbIGb8jXb2qtV0ehoeH338HAAkTfqGDuj1F13bc1YuX5yO77A2zbiSYg/g0gY6FZxbUHyyAToiIyI01OKKmJHs4UsViPSMSkm1prGeY6trkl8ZsaOZluqw4FQcYU6Ds0tVWzxZAfCw+W7mKG0VrcZ8/nAB35RBg4dqnVY7VMIKBMOdQ8oBLYrAngHarGYu+EDGQy1T5OXStXWYnbjOpE8M131Pz17qRvNN2yTdsVNlJ0Nz7fjoNfrkv37GRc2DbOWHnLGhSNfv2dNPJkqUxuk0S6mrko+iEQqfVOWbaILqWUppmGyksaYmyRHIc4MbxhbWkZkid4wUWA4tl4Rkuelq7gmLaadtns8+598QpFnu0HdYfW1R4W0w0BSw1EI9CICJE/M7NZpicCetF3aZ46lUGA4tM0h0jo9Rr09Jh/pJfJMi5lIxANTiGGsAtinRdXHa/bTg/jN95wYQ+znAtJt1w7RyDpPPTSO+NNmwtWZ7cnm8sOO2a3kubJIAhrjNWua4EJiHlE2kFUQKemNkOcUfqSLV6+VImx0e8ZTxoCmV/5B8w6clRDa8h1agGXEoe418syxBYbMRYexBQ9VybZCQJlwbKvLpTqrENhAgKaTnQ4by9ZLGeTa5UDIFpBEBc5p7RJqlWNrSThB+jdF+SBpv317Td58fUb2w9FtfDwC8txbIbUeeHBcI849wsO0WMzPfPfddUfCetesgKyDJZOTDuls6KDYTMsaAwF2I1xHcLRet7fsL8TnkJLbXPzI2OycFKpDgmypubM7inhweOFEuDlmSmf7wNZI5HPd0AI0GerA4cMS6IUJRpN+qsPdRUAR6O7ir1pXCGw7BJhcIxjKIlRY+zSKHg8IkM1y5fKcfB+EeBDh15hSmymmw2Gf3HtyTBgZ4v/5xtvrSVBOn56zuXV7qmPM514hzxzRqz+D9rAiJXe9Ub7+2qxcuLAohw4PyMmTU8iS2MaIGFqmIWMmCvnleUTrCEne3VybX4jdBnk2Z4IRR2i6PJ0Fe0xoA53rAZOJIh1Pe+mG5nUCqd//xPs1ct9jl011p8cQUAS6xy6I6o5CwCgCjHXLJf1uvH+WkZFuZBQdsBiGrNkYaTNqt1DbdeH8onz+16a0Xr8MEr2KdNO3bsH5q4YwCcjiQgr4lmLlNlNo1qjC9l1My91L8sCDe5HtMIaEMs11mfFYVk6/Pif9/YG2EuigOy2OrLH7x4EfUc4Fx0IDoBYTcEY0IUXkHHeCqJKsFukgV7qNTNTQvqJFRLxIzN1pXwMGa851OHW5kW4xVXexhxwsjfRZlekOAj1PoPnyakc8WL5MubWj7u5cSvOt7vbxEzFe/+16D6yuMBub+etuxxkMS1ZiBEaoh/kWMxljGkQzNe/bPyz/3Vc/CMdLH+yIfUICXU84MflXv35MblxfE2bYe+Z71+Tiu91JmlLZx3g8K6FQ7zy2L1+aN0SeK8eQStW3la4sZ+W7z5WRYNE40XXA1MMpyBwIf/pGJibF1BLsnU30G8Q8D+2zB8+XgalJbShZJODplbjLmVjtmN1WMG/lnEy8N/pROYYQ4j77+/t7RgNNDsR3tZLeQ6B3nsQNsHFjJm+36MSpHXXb3dd21UcMdvP49QnEdsVgfIJmnkXN1JPa0UwGNAA/FY+HyS1Kx/jcpT0xP0m2b8/ktHKt3lOBIE0s2vdQZ/8TiZQEg/5Wu7p+Pq+3G5q3Z585I99/5tL6/lpfGIva5/PA5KDkaEVNdC/Iz1+5Jb/4wcPIstelmVMVCIcOD8vLL16v2tv4T05e2iVeZ04c6fqh9KrbLSDpSWEG4QnLBMVBsyT+mMrvHEf/Xu2UYsK4Uyu12tmK0Dg6+fHg3vPA7rgbSVOqxx1CDMwVmpZ0awbODuH9k1rCxKSXBPfBfZ//nLZy0EvdUn3pTQTsZ6Y2j5MPn0wbbLX8iPFIAtmOum2GoG3V7fbxc2afg1Zpp9wDiAaliW79gNtbk0rTgwhMTxeQ66FVYSpp4wQapMZBjbKj/L4m8dbJd/X3Us+Yjnl1NWkrgWbNvObNyPNTvzgF4hzddF984lMH5M3TC/LGa/OGbH5Lo7D/X/KdghYvt0POeE2GwHvN43GC0PP6GpPFhfaFu1vL+MWHG99RedMb6VaZSBYz5bA25dB0xZWbuGkwtpQxO2aabeSoVS3XV9k032WRoUHJk7wi8kQ3hTGg3QG/5BLGxtWOvnKiwd9jTwn6k8bEwqU/THugc/oErAe6orpQhUBvPIWrOqX+VAgoBNqDQAD5SehcHgyuK9ksNdQoZNnWCqkBT2PCmoI2nBteUK5EeYvjM6ZtTucaynCLYYvj5ZpCfOE1EEbj5Gxr25v3cLWhRP4379f/OnAwKicfGEbq580OkoODfnn/E5Pyr//tCfmN3zymKyz102z7HIa5SH9/fQ1taTWhdx7bvDQf+8Qxw+Pn+B58eJ/h8qYLIrlPERkSbZMkyLAR8gxyTPKcp+a5ASkkGWLGRn+XQ6RlEMLHCHl28YHRJskyjFADrNrUbNNqz33zH3oqyUzTDqsCXUOg5zXQXUNGNawQ2KEIBBFwgBtf5k6nW9bWsoKVbI0UMvoXfJ6wv/w3PvndCUVxHmSJq76rMAUOh8w4s+na5saAojtloVaqpJmKIdRYPL4Kwh/WNhc7Z1Goub16dQ5jyK9rTau1p/ecKJls1GuCiUMGBpza+U99AM6I6PQPn7+JPpqwj61XOfb/i8f3y759Q5LN5NDPjJag5PVXZ+TixSXxeJ3y0MN7NkxxiVcPKPB8Pp/8yufvQyzonFy6uCBvv30H4ZG3TnompyLyqc/cB+zM3DsNwKpzqOj1I213rqOOYHnMJIomUnL7Q0HJQlPdjTTeTlyvc888K/seexQZGrPCkHa6kDDztrr26mvihq9AYn5BfNGoTNx7gjZiejF7Pjd+8PbUZ1Mtsdu35dYrP5Op9zxmU42qmp2KgCLQO/XKqnEpBAwgQI0mtdHcmgnJNblPFu/RBJJmRDUitM56657udCZb0thymTceRwrkeAwOdCFsUZB6Y1rYHJbiU9Ag0kwng+X5QKAo/8W/vkfTQqeR/GP/vn3yve+9gUmDQ44e7Ueyj+aPRCdmE7/+nx2TaF9J00lt/PPPYanfBpmc7MfYXOLzc/NJ/0BEpvYOyzPfPSPjEyGELfZJKFjq4779g5o5RyqV1Yh8HjOcS5eQIW8rd7WhZ/WrKCkRYd+LycXR43vk2N1jMje7JrTXXl3dyPQzAC1+O8lzNJBF6u6scIpV8IQlvQpnQhtXL+oiAM1z0aQznAv3r9MDjXUbTOudMD9wwUSRsacdZa04/+aP8M6ly7Jw+bLkcezyj15AspBBGZqeFp6zdOWKrM3cBnGGaQcmAxk4QVL43Y3fut1h7/I9GP+Z43VirFk8a5jcpZdMOdg3Jb2FQPO3RW/1V/VGIaAQ6DIC/QPMgEgC25w8s6uFAv0NSKJbVZeSSMfgXBjXtNGhUKQpkV5ZWYSSbbNTWThc0oAGg04kU/HKgw+NmrbF1Mkzx/fAqRG5eSOGEHmtRek4iXjU9WJrf+gjd7OpLeKCOUCoYjXgnns8Mj8f18LvtSOSyZYO1NhRLLoQ4rBfPvKxfnE5C/LPz12E82oMmvv2mQOwG0EP7HqlNHsgiQ5Ac5oDgSYR0hKZVGhaa3Tb8i6rIRcD+CFRu8vJ4Or1G5bbrz7R6fNuSRnOZCXUPM+cPr2peHJhUW5gqxQS5koJwGZbs+uu3Nnqd4w5sWAuIU2rTRo5n4SZETj69u83UlyV2eUIKAK9y28ANXyFgFkEaEURgLaPmsdikfa6zYg04uAWmf57M5E1265eXtdIJ5COmaYdoVBY09rqxys/fT4slWdbI7aV9dX7PjoabJlA333CeEa8ev1wu73IoMitKNevL8JhdDMZqndeu/bnC0558hePaBFVqClPYxXAA60otew0qeGnFXGAKI9H0/jXIfGMWxKY0HkRjq5SeFcyjJwHGtUiNbL4OwsiWbAxsQntns1qn/U+ephEhBskvGdCYrdnLWvM3ZGIFPIwI8IqRHqpdsSQAiYSzD6oa5b1fjT7TCwuimN6P1Y27FvaKEAb3mvZGYlDYHBA9jzyiPQfONAMFnVcIYAQmEoUAgoBhYBJBGi+6HRmsTGiwmbiUl2Vw5HSylbvb/VvnUjfuXMbdtzLiI6xtR80GfD7g4hK1l6720OH++Cc6dOyG1od1+BQ2OqpNc5zyNTUoJy8f1z27uMEo0aRDu3iZfH5/NLXF5H5OylZXEpILJ6Q5WXr0TiGwlmNMMPYQIa8KZmKJBpO40imSdVpr83oDzRtsEM0p0EbKvJB8xnds8dQTR5orUmY3WGY9IAQO2G3nEY4uOzqmmZXXbcSzHgPwK7X7NhJdNM0ZwB2dokTDxAmLOkl4WpAAmnXwwavQy/1XfWlOwjY8xTpTt9VqwoBhUCXEWB4OqcTS+SF+svzDsdWYmtnt0tEOqaZd5Q00hHYNJc0myRu3FZXl+F8Z48GvFbfh4b98utfKEWjuHxpFc6Ka0gLnoSm3q19MuMhhROPks1wqZYHH5qQhx/dh/7aH5O9FP7KJUNDfUhZ7peZW6sgrTY7gpWGYerfdApaUmyD/S7pD2ZlNQltdNE4maL2OYjJW6WQIBsRlvPDjp6SBbPPrdXOQqkVaPYP77HKi9msfJPjjBMdnZqCHfLMJse+6tMK6HdmxeKqCshwCBFAYrPQdpuQW6+9LsHhIZk4cULyJu29azaDMHo0lUhCu90rQu18Ht7UbhsnCr0yNtWP9iCgCHR7cFW1KgR2DQLFBuSnZPts39JvM1Bp1sEtGh2AeUeJKCURioz72i10LqRQG81Nl1wOdrh5ZFTFYQf+OXtmSV5/fR5mFkF53y8cRjGj9E+v0fwnNa/TB0Y0R8os0lwnEllogxMyORWVy3A8dLsdmGiQbAcw0Sgg+kdGVlY2k1TzrTY+Y3rUIX5XWnwRt8yuGk+Y06riUkfbAwLcSuyUImdDNgtJdHh8vGHGwlad7zwWQ9MxIsfF538gh594vy020UHYVjPhTLXNtc2QGq6OE/EiskUm7tyRILIRKlEINEPAgZumVc+eZm20fPwKvIPtliiWa7i8u9CDjgx2j7VefUwmk6pyGKlXdifuHxsbw9L/GsiE9aXk7YwLNZT8DbSaSIZPkEKBYTwq7VmZfpaxn9tLwhrhHwgENbMORt+oJ9PT09AWX4UisbOPQbZX0hBTiUkiRg0sbcX5nThys5+godKyFBEur1/LzMiENW63ExOOjSX6bDYn33r6Hb2wrZ8+n0PuP+jiaLV6+S8MBDQHwKU0QqfRntldvh6AIOTNSzLjlGTWLR5XHppjl0xEk1tsnq10Mo3nn9VQcgUQ8EIbnh0MibcMp0JHeRWlWJFCnOYFMRC8fAt23DThSOC5d+0nP7UCmWYCMv3wQ7aECSxg5WXp0mVL/bDzJA/CEBFnmqswCsfJ3/rPeyYCB59RSnoTAaWB7s3ronqlENg2CFARR1voYpFh3Uj6SA7z2tbNQSSTvTsx0skz8SlFJ6GZCzErIVbi8yTRSAxSpHa2fKB0uOV/nU6mfS9NeKLRreY3NCnx+ZyItmLv6sFgn1OmRpzr5JkD4ch8ZTv6IV9KhsDjq0cbCiAjLRxXWY6Ogzr5bhUIL4iTAyYdvRQRgiHuBvftxb1QQqFQKGLMpQmXC/sywQBihFvPIEiiyFTe2s1mYeIYhYa8MnZ0K9fAAadHatwZe7mbEh4eXs8OSRJN0xL2S4lCoBECxg3PGtWijikEFAK7GoESic6ASFPrnMG7ub12zzsdbOJZmoRQg2+/3XKhUE1RNyPK0GoPPzIFUxh7dSxH9jgl7Clrlzc3qf3FXtXqGaYR4ucEA8ftIs9sUEv5DZtiOuaZFe3lWdYSmz23WXmdPLMcTYPcuB4kzxQ3bPpblQI078c+9EFLWlZfH7CyQLxr9Zkj8sEhspsygMnKckVq9f1PPanIczcvyDZqWxHobXSxVFcVAgqB3YcATWFgJGPrwMPh5sR4dLQPUTwmNUWlXY2vdTeqXt1hkKCaJtEg3lqCkrq1tuEASLRtCU2gaZ247z7TnZx7+4wW+cP0ifVOQISP4bvuqne0rfsjk5PQPMNcptyKF2R+6PjxtrapKt85CCgCvXOupRqJQkAhsAMRKGmj69txWxkysxYakZGRqBw7PmQbiX73BlJsG2m4w2VIoBgz2ofIEAwRZzbUW6e6y8Qwyfl5W5rLQ7N942c/s1TXGsK92SlB4H7gscdk/6OPSt/UpERBbJkRsd51iMAWnI5+7gYOkW6YujCyhi4MU+cpR2DhPpLn+K1b+mHtc+DIYXG2aVVhU0Pqjx2BQHM1xI4YphqEQkAhoBDYzgjQlIM25iW75VZHkkwilFw6Aztn1tlYjiM998pKSm7djDcuaOBoBsN4+WxeRgZcMj0G04Qeo9NElyEQcyBaDBVHR7669r5wxrMrDrQB6LQiBZuSmTAr4XWL5JkduXP+vIQfediW5CpaNkaMS0+s0j8yqo11YLT0yb4mkVZ8kcEEMNMJDg7J6rVrWhmuAIRQjue6Yc9O/wsWysNxOHlnXpiwJTA4KFmcn0Fqd5rG6GHqqskzKxy++25+KFEIGEJAEWhDMKlCCgGFgEKgewhQC40E6jA9JUmwQxwg0HDKM0Cg2doDD+xFBsGbWnzrVlun+ezcYh6byENH3eKFQ2OviRuAu6AVpdCaP7Ncld0P2uocI3CUbYFd0IS2EhlDa6jRPyDyiZXVlpztHCCbl370ArSwQYSOS0sahNKq9O/bB56qGz5YraV0ng9aYtpk15MCskf6EBlj4sgRrQgT4dDRcgmEmhFUkuVz01XXSLcjZ5IZiv43MzLWE0bgUKIQMIqAItBGkVLlFAIKAYVAVxFg1GLSOTu00Ih+EN4afaPe8Hw+jzz40LRM7V2RG9eXEP7QpWmlo31+uX5tBaEQrZHg+bWi7NkImV2v+a7s1+mh9pLs69MImG7zSAMYaoMZ0SKICA7cT611kmQNttF2SgFkceHdi/U14QYby4DwZ5AEhVurwigVQ3unamb/NFN3eGK8IXmuVVcR2uYwJjfhhx+WmbffLk1kahU0uc+PyCQehL5UohAwioAi0EaRUuUUAgoBhUAXEbBTC00zT0baMCtjY33CrVL8frfcuDgjYYYyxPL5Ws4va+nmpiGsw6ZgDpXdact3aqQrhVOYUFlDrR9hYhY3yHQOBDoPYs0kIcUG2s7K+rZ8R3tFXJ9UDEmAYPNc14xky4n1d3hgcrLngfuFWQVblTTiSC/evCmDe/e2pHl3uT3I/ldfI9ywnyDSk8iMuABzDjvC4I3ef1Kc5dCODdtVBxUCZQQUgVa3gkJAIaAQ2DYIUAtdsvNspctVfLCVquTQwWFJvP0yVbJaPUzHMoJQa3lPQOYy/ZLKMvBcbbI+t4SU3hGXBFzWNNgtdbzFk3XiXFkN95FIc6OYTVJUxHkLl69IIzMDrWIr/+D6RKBJjzDToQ1xl5fQT5qCDCMMXLF87c10i+YSraYFJ04DcChMwXyj1YyGAwcPmum+KqsQqPNUU8AoBBQCCgGFQA8iQJ1HLepmrqs+n326k8WbiGRQRaCK6ZQ4Y0synrks045Lsi+0gJfN1sgf1EAjEeKOFLfXK+6KKBDNBknyPH/xUnvIc0XjTo99135tZga+rcZWGyq6YOtXJ9rP51rLeOqAtr9exA9bO6sq21EI2PdL2lGwqMEoBBQCCoFeRKB18kwN9sBAyLbBzZ0717gukGtXbEGm3StS9AYk5QzLTLyUPOPIlEvCXnPaZ5YuYulffAhRVgBxQsQFRz5rw7Si8TDMHqXZhxt20QVssbm52vYqIG6cVuRgjrB6BSnlYfrRVgHZZNxjO2X2zDsycc/dmvlDNpnSws/xYhSRQTEPB0APnBcZBWOTAJvI+Bg00NazhTJCygpwXalIgrKpDRN/UIOuOxmaOE0V3eUIKAK9y28ANXyFgEJg+yBQLNY2hTAzAhfMJbxee6IN0JFOi0ZhoAMaOcytIaPgmoRh4hHLeCSbQ2puL1N7GxONakeGkUGvwgESfl/FAupJIuxcKq4RaZazY6phrFeNS7Ef4Yk9ko6tSbYi8gU1zosgzSSZnZI1EnmbhWnQb8GZLxCJavba1dW7QNpHDpXMI8JjY5rtPW26WyHPbIP42UGe9f5mQPIZ8k6JQsAoAopAG0VKlVMIKAQUAl1GwOEo9pTj3TJsaa04uI2kL8uoPyjOZEScQWOkpeDyiDM6KlxurxaH0yWu0KAUA1FxFVIS7YvIIjSTjh7wUiy63NoEIRiOSBJ9pwPeMrTAdDLstESh9YXBje2SXFiU0NBwzXrzsFN2QgvNcHS8Hvy0Q+ioaZeEgYsiz3ahuXvqUQR691xrNVKFgEJg2yNgztyh1nCrzJVrFTG0jymlr/3kp4bK1ipUTCXEu38aZh0+kHCQIQ/cD9m5Ar7TyxEmAFAtY8OkweuHPfFQrWo278NpfQN9UmAoOWgoBSSriOgTFIeNhGtzo7X/KrB9SKUm3BcMSXxxqS55Zqa84SOHJYiseXlo5+cvXZI4o3DY1HeaVbRDOKnJYGJQT+bOnpOJe09YcjbcVCfuCwcSq6QRim/uzTc3HWrlj5GjR1s5XZ27SxFQBHqXXng1bIWAQmD7IVAstv7IphlIBikBWzHjoOnGDSzbW9E+66iH9x9EOuY94MpbNcp6GbOf0RC01CBz3EaQ7GMZ5DOKZXn+vQJTAy0GMshoJak124aR8qSpcEvb0g7bjYyOSApZDpPoT6VMPfSQ+JFNT++bE8R/4q67pIgtCxvplZlbsgyTD6tCZ7vFqtTVVuuqPC88NireUFgSDcxDcslkKUW21dkbiHMe2wpC58VnZyubb/n76PFjMv2+98lagwlAy42oCnYkAvY9uXYkPGpQCgGFgEKgNxAoWSMYtRau32cvnPZaIc9ZaJ7PfP+fZAkRI6wKIx6E9uyzlTwXqakugbTerX4mOQF5pvgjEeljeuiyRnq9kM1fiiB6NNvQiXBl9dzng8Z9j54yGn1jKurxkyclUEGeq8/xIuTbyL79MoXkIVZlASYts2+9bfX0mucx+Ygb9uyNyLN+oheaYyvCDIrLIOe3Xn3VdvLM/vQjlrV+j1jpnzpn9yLQujpj92KnRq4QUAgoBDqIAOlXLVpmrgtDQ4he0YKs3bmzyRnObFUuf0BGTr0HGkn7Xz/pTB4EtbaDpA8a2Aw0uYw/bJdJRK2xk0BT8nBsxCBrOkg6UWb/e96DjI6lvhq9qgGkDOd5N19/XajVNSND0MjTHnmhhYlPZXvDR++SGEIYppCVsB3iBOG+fe6spJdXbKvehzjYfZOTmomQCxMpRt/IIhLIPCLJeBAfW4lCwAwC9j/BzLSuyioEFAIKAYVAUwSoWC0W/ShnlGrVrjIUckogYE0TqNcYaiFSgQtL/SP3PwqNX+uadL0/+qfTkZdok/Tk1OT6QaKStCkGmW6HODUzBdhuQwq8XHXMjtkXK8LzhmHWcfuNN0ydTue9YZDo0SNHZPb8BVmEfbVVYfskz2YkD1yMLnkzRN3s+fO2kWf/4IAM7Z8WV3lys95vtJPHRGQJqdL7PF7xDRlzaF0/X33Z1QgYvZ93NUhq8AoBhYBCoJsIFIsM22aNcOn9djoLW0wc9GNmPtdgV2xVuFTeDvJM040AUoobEWp/IzDt0DXFRs6xUob1O+uQZyv1VZ4TxiTAB0dD0wKcCqmUjB0+JG6YjFiRwUMHJWbBltpMCD2uFKSWlqx0b8s5NJEZnq5BnqtKMhSiEoWAGQQUgTaDliqrEFAIKAS6gkCrj+qijI9HsQ201Hsm/JixbEfrkIG7T7bUfq2TSZ49roIEfMYmGCUSDxc/iza5tfpQa58Wsq3WARv2UbG95957LdfEFNhMfmJFrE6A7iASRxrtNhJqnhmc7vbp042KGT42ft99MgiTDTp0NpOESY16s/rU8Z2PgLEpu0Uc6NX6ne98R5aRp34P8tV/9KMflatXr8o3v/nNTTX+1m/9FjJjtfZg31Sh+kMhoBBQCOwgBByONLTHNL2wZvrgdhfF72895XIKySaieJYvXrhgGt3+4/eKuzIBiukaap/gdualL1KRWKV2MUTIK2gEzkl7GGjCg3AqTDAmMf9ukzig1SzCXKU5fTPfATfIJrWr8QbRL+rVyrjM15//Qb3DDfdXO2o2LFx18PorP5MjTz0pReJeQ1axurEMjtCq+Pr7ZXD/fkysjP9ecri3k4hr7gemtWKNt9ondf7OQ6CtBPq5556TI7C3evDBB+Xpp5+W1157Tfv+u7/7uxqSF/AQ/sEPfqDI8867r9SIFAIKARsRcDgQeg1bKRMhnJ+KJMP1tNIkhJspWy7nkNnZZRkb62+pV/5wGP3YXLeRCoOTeyU43B4nrVDAuOaZfdUjLnjgVEiixfjFulPhVuSMjK5+GU0LjVjWLhtD9VW2NnHsmNwBGV65dq1yd9PviYqMiE0LVxVYvHwZSVMGkYHSnBOjXg0d9+pJBOTVLIEm2dXr9OD+HJyeRpQZb9UvoF6Lm/evwRY6fu26MOQfiXRwz8TmAuovhUAFAm0l0E888YSEcUNT6G1MTbS+fJbGDPRb3/qWfPGLX6zojmixGGOYCerCH4Luqazvs+NT70c76rajf52oww0v5N08fhKB3YyBPv5WNEqduE/b3QZ/A9sLA4ZrS0s+74JWlRo23sdZ+MQxBnIR3zPY78RxjqtEssl5BwZCLUOZAWlagHOXGWHIur7pu8ycYqJsHs8wOlc2lxySq1TrIxl3mRu105rQRpjfARhJGRN2MNpFKxkNaZagJYVp3kXTJTiV6ZuYME2gQ7CfHoFy646FlQTG/g4MDsla4obp/vKEBGybg2VeUFkBo6MsmNU+4zpNIgQgr1c2nRIvQuqZn95V9gKXCmYm3Kgj79u/b/NB9ZdCoAKBthLoPjg6UKhpfh1hd7785S+vN/3KK6/I8ePHJVrlCMH91FzrMo3Z5Be+8AX9T9s+SR64+dpsB2dbh9tQEce/vYiDvSBwEkXyVH0P2ttKb9e22+8BXp1RaJq2sxSQXc7pdEgikYWZhlv7zvHw7/n5JO5xp0xMRECsq+mjuVGTWN40GfmBLVC7Cx1hvWAU5jpRVdrvM26W4gKR1TXNVdVoih19n5OEtyzUUhehpc6CRDMJC8PAmRVqn4vSPgc1P0LbmZU8HAknjh21RKA5IXC1wFJvvXFajn/wA5uyMZI8z1+E9tdESDxGgxk+dGg9mY8P5NlOyUKRt/L2GTn0vn8hLtwHShQC1Qi0lUCzsTNnzsi3v/1tTdPMGJa6vPTSS0Lb52p56qmnhFulXLlypfJPW76TNJE8LVRlg7Kl8m1SiR9Lfyk8SHerjI2NaSseiURiV0JA8szfQMYCKdgpgE1jgn4T2c124kSSpr3Uzg4P97dMnnm9F4FTzIK9Lc9dOP+2DB6DptBmyedIaI0RJ656blBj4x3h78QLLTW3JJ4VaZg/OKCFNSI0CWFa8Rb4ZtNmOLGpNGNoekK5wBLsfc2KF5rjQH+fLF+3pn1mey4orbLlZy7JeBY36hLIs5l40jyvHzbOrWTCNDJ23u9vfucfYcqxR4KTe4ycYnsZPqOU9CYCpfW9NvXt7Nmz8uyzz8qXvvQl6ccsXpfVsv3VYAvxRPW61KdCQCGgEFAIbEUAvA9mHCnYPt+GJnpeVpA+ms/eHGMgW5BhZGzTzBEsnOvtb0983YDPuA5It5O10P31U5gtMDoygnSCvroadY00A/wCtiLMV9pJntkx1h/FtTErIThRmhU6kLaa2CSPicwykvEkoNW/+OJLcvXHL2oaXqOOeyTgk4iusSWms9nBGCzP+Nm+kWGDpVWx3YSA8aePBVS+8Y1vaA/rr33ta9rZp06dkg996EN4oM9iSVEZ51uAVJ2iEFAIKARMI1DpV7KIZXKuPIwj8xrNGowKQ9hZlXzamsNZo/aKxRzGsbGq2agsj9EcI48xMA50K0ITjz7EkY5hQsLIDXptJM5M4U2t1Lpmijs7IOHhIVkxaz8MEzYzQoKbhh+THTJ/fnMUl0VkRxw4MG0oJXjf3qmWr6GpMWDcNDFRohCoRqCtBPorX/lKdXva34zMwU2JQkAhoBBQCHQegSyIJLXRZsKHrtHczSL5dHpby35YC6Ggzzj55/kkuq2Q5zw090z/rAuTmWRgBpfAhMQBMwpqm10dIsx6H/TPfM6YSYlenp95k+H7+qf3S2oe90C7xCChX756TbyIPmI1k6Pp7uPaJmCyEtpnXstvui11wrZCwNwUdFsNTXVWIaAQUAgoBOohEAqZi8oxAI11AJpOs8IoHKGxSbOnNSxP7XMwYM6xi1E4rMra4pKsLiwi0slmLbwX5gQMvVboInnWxmSSDHMitHzjZnM4QGrv/vjH5PF/+2+QeOWe9XBxzU+0UMLgGAq4BnQ27KTfQhxhAjNL9mjfLSCjTulRBDam0z3aQdUthYBCQCGgELAfgTuwQyWJpkM1I9IYkVyqdgKMRueWIl/ohg6NSho/ZkURXmA0EBMmK3pv8iDeNNUg6YyBuAWAF4mzLjGGZ22iedapO1G2F4lSLxif26gwVjLHcufcOaFTYKYibGwACc0m7j0hfoxxCE560aGh9f5G4LNE7e/ipUtGmzJVLmHCod8DW3Q6d3ZUDP5GOton1VhXEVAEuqvwq8YVAgoBhUB3EKA2lVF4aAfNeOh6WMd6ZDqNGNCMj2tFaAPtDBgneY3aKCIxSTho7tXFSBWuFgiQRtWgIS2mM5JYXpEU6nIhhF4RE4pmNI7k2VHGDRGmpQh7WjrANTuvEQbVx7R49uGQZGPxTYcCSHgS3TMpXpiaFJAV0YNQbx5ca8q++++XJMjz63//9xKBT9LRJ97fMI4yzV8O/8Lj8tM2EWgX+pbPbeSA2DSQqj8CJiYMVada/tPZYhhIyw2rE3sWAXNPoZ4dhuqYQkAhoBBQCJhFgMRyCYkt+EnHQtpEB6HdqyW0AWZSEbMSOXgXoiwYCzVnpG6noyB+kzbVNN+wqrHU4keDMNPOmaTXgYkHFc45EFInYjxzn0aM0QajXTvgSKgLNc4MtaaTZf18lqcW2AHMjen+9Rprf7LeKRDiJYQaXL58BcbeTtn78EMIFlI/sQgJMSNxvPcLX1jvX+3aS3s55jz+8eMeSeGeoQSHhiWFTI6FjPmVCa2Cin/yqKMIPL3RiORxn9WbrIURCUTHs+L0tn9devMtCcMOPABTJiUKASKw8UtXeCgEFAIKAYXArkSA5HlycsNOmTGTSaxpvsBj/CSRjB49KknED84aiMYQ2n9AIpMHYDZh/jVD+1YS3nw+A7vjOIhgH/5GQhLYPvdHN8wnjF4sal2zDN9HMot6zYqTYesqJg9aDdmc5JHABp6F4gSp5j5tP/qsC4lyLYKslaNGG/0pAlftb/0ki59up0tG9u6TYWwUo3UaLVfAOCP7jssj/+aIrN68JrHZGdlz6lGtrbWZ6+INRcTfNwiTkFU5/R//RuIIn6iLb2BIRu47hfMPSXJ+Fs6I2JYWZfi+hyQwOiWrl9+RWy89L6E9iLDh9koqd1szk3HiujF0ZhhhMQAAG/ZJREFUIs2Awojbz6yRrTiC6v2x8sk+xDA58cC8xV1nkmmlXnXO9kXA/JNt+45V9VwhoBBQCCgEaiBAwkrCTPMNkmcm19HjRVc6zrlgJkDNqRHxD45YIs8kzblcCs24wHdLiZ5Iol0uP/rnsGSKQdLMqA0pkCAr8YODiLgRAy7UQleKE1kgpbDZsbDyeDOkmJCF0TAY3aNZ2cp6G323q57qNgrOUh+d+Ozfe1Db9DJ9mCjp4ov0y6nf/KKQVN8+87as3bwu07/0WXH6S5mJI9ExiRykPnujp9HDJ4VbSbC/CMMXXH9MoSR78x3JLczq1Xf1U0vcwq4rUQgAAUWg1W2gEFAIKAR2OQIky0y0YkSMJFPxRPtNa3ppo5vPpzXyDAaFrmwQU5JqbpTl1axEYANr1qZZ02prNZj/x+NtXxxgJ0h5Pk8HR7c2anPB+cyPxcoZGmd0G4/a4vL4pH/fYfFBu5xI1GKcG+S51J+qv0GeKZhaiHvyHvEMT0ry3Kulol3+16Fsobt8BXqn+VqrS73TO9UThYBCQCGgEOgZBGiXmi3bvzbqVP/Re7CkX9I4NirHYyS2dAzMZJglkTbWtQjXRi0xpIGeRWbFtAWHxnoOkhu1N/hmUPPeoIa6h5x5aLY5HmyNR1+3ig4cME8XMpnNGntrnURGRx9s8+99n7XTbT4rY8B8yeYmVXU9ioD5X0SPDkR1SyGgEFAIKATai0AaxFVbxm7QDLXPHn9zbWWJOBcRCWRJ20iijYrm/GhQY67XSbOU1qT91LYTqb+tYJB3ecVoqm29/lyOpjhVmmX9oIXPgsMn7uHuZTCmwydXX7JwmlSiECACikCr+0AhoBBQCCgEDCHgHRwSV5MELNnVZYndvr6lvnwe0StAknXiTHMNkudmGuctFZV3MLJGCnbJRqUATbdV0dKYU0vcRimAnNEsJW9iItHG7qxXTdSK3sj630a+0BxnZRVOmzaLO4pEPnCWtEMapef2IdLIEBxmI1NT6025YLoxcf9JxATfHCpwvYD6susQUDbQu+6SqwErBBQCCgFrCLj8PvH290sy3phEpJcWtOyDpcgZBWgiaducKDeK8G0whzCjca7XW5JxI5JnCDqWtWiGUSyHsDPSltUyV195BREo3JJeXZOphx6UMKI99ILkXdC8wnHQjORBoCudBM2c27BseEy8E3HJ3LzcsJiRg6PIrLg2M4NoIbPi4aQQ90a2nFTm0OOPa7Gzr/7851pV1Dz37Z+WkYOHJDI2LisxhO6rcig10qYqs7MQMPer2FljV6NRCCgEFAIKAZMI+EZHJLu6qp3lcEFjWiPBSi6ZkGwyhmQjAc2uubApUgVtno0R32ZdYwKRZkLNM8033NDuWhUXlu+L0EA6cnpOQas11T6PaGTWYpJDYpvgyLCE2kCe2QYTpzAJiVHDCp5T9EYNl9dH52ZoP2cOJNNoS/qZjT8dxYwt5JnmGEPT09I3uUfOfecf5diHP6w1fP211yQGUs3EM1rklnK4ugNIMhPqH9Ci1AQROzuG+1sR6MbXajccbf702Q0oqDEqBBQCCgGFgCEEqI2LHL1rvSxtoulcyFTZjJWbhW1y34FjDEAmeTgGtlPc6EszYRg+t0XNs143nQ+DWNZPIgshAlPru237JM3sm5qUhXcvytQDD5gmrEY6wknLxed/ICc+/rGaxUmWc74IYlonpAiNc5GYIXSgWe0zK+fKQyjokrWYvWYvRYdXQid/QbJXTktmZbnmOIzsLOIa8n71B0Ny4pOfFDcINWX6oYe01RU9VvjQwYPiDvilb3hkU7UFhi9UsusRsD4l3/XQKQAUAgoBhYBCgITaFQiIB5o5L0hmCJq9XDEFLXN7tLWViNM0o5n4vF5kDWxermk9GGMIqbHtpk6sb+7aNY08sw/nn3lWspiU2C1ZZgsEib72+uuSQlKYRNlcQW8n7wmIwx2UYmBYxIcwhF4kr3GZT1qj15fL2Y1UqWZfwCv7H31Eb8bSpxf3qh9mG5wYeZAkRxc6SlLDrIsPmujRAwf1P7VPTkRo461EIaA00OoeUAgoBBQCCoFthwC1z0Y00NrAWtRA6+B4QMYd2LSQc/rOFj9JM++8c3ZTLRmE6uOExKqwTmq1dclA4/ruc89rf65evyHcwB5huvAhYZbGPB3zYKphlzCudTLFSUtlL1qtvSiRiEv27CnFGGc2wBxwMivDx4/L1L33mj1tvTxXNOwyQVqvVH3ZlggoDfS2vGyq0woBhYBCYHcjYMT+eR0haA3tEn+ffUSTfSLFpPNgpdx8/Q1N013daz2SCDXv8zduyOVXfib6PkYluXn2rFw7fVrOP/88MkpiFQCVXvnZz+XCPz2nmSxUtgE1qsy8/bakYXedTNunUSW5jMUZMtBO8qzxfZmaGtS0xjSxCAwObhqO0T/SCEOnm2gYPUcvx7GttGA6otejPncGApt/tTtjTGoUCgGFgEJAIbDDETBFgkC4SH5MnVMHPy+W/JPgho5qdlunfLPdpJkeOPalKxJ08Pt52CsPHJjW0nwvXLwkw0cOS2x2TkaPHZWrL/8EToeleMRXEL3DGwrL0qVLm5q6/c45ySJaSnJxcdP+yj9Wrl0XbmMPPSr+/rHKQ5a/5ws5W+M/6x2pNnffB3vl2zDDWDh3Ti+iffYfOCCDBw/I7FtvaxE2GI4uBTwjExMSGR3dMlnZdHKTP+g42Ho88SaNqMPbBgFFoLfNpVIdVQgoBBQCCoF1BExolQOwZU1iud+wycd6I1u/lLIZkvbaw6BZix4+rbI1EuTZ02+u77oJTTJl5frmGNtxkOq4zK2X07+sVpXT99f6dHn9tXab3sdJSjJpf/xndiQY3ExXOJHZd//90o9Yzbdg151cWECouf0y/fDD2kQp9L73yTwmFWGQ5jBCL9ohTHmvRCGgI7D5jtT3qk+FgEJAIaAQUAj0MAJJJFFhIhV/hRNYve5Sc1itfdZMH0D4SIi1umDb6oUpBTfaBdeTtUUkfzFB3uvVo+8nsWdEiG6JEzbd0akDtjQfT6TsNA/f1KeBgdrZLaPDwxJ+6klJxRPCcIP6daaJz/hdG9FiNlVm8Q8Vus4icDv0tPpPiR06YDUshYBCQCGgENgZCCRgv9uMQFMrmkaYPVeFIyEJ8xoiUfihme7r65PVJWZEhG8gSDQlhP1BbM6Kc7h/GUk3UJmt1r3+cqxh1t8NOfKJf4lQdc3DARrpm8tln2a+ur1sNicBROCoJU70vzJ6Rq0yduzLtyE6ih39UnV0BwHlRNgd3FWrCgGFgEJAIdAiAgmQ4Nt37kgcn3SiqxY626VAshkHWtdMsgzDxJFY15M4zpmH3ewatMNpkGpqHpduzUgR5NluIeV0I0ReNyQ4NgGb4Nqk1Ep//D7GU66Pq5U69XNmZxtnv9TLteuT0TcSie72oV1jU/VaQ0ARaGu4qbMUAgoBhYBCoAcQIHFeQvIWEun5siaZ3dIcvqBprsxAyH1ZmEtQA91MSAMTKLeMeMkpaLApRXiyFWDyUSn8Ow9zgTwyFeZxPAuTkpzPu6Vc5TmV30mg+yYnK3d17HtwlI6D7IFd4mR0vLZIjflRW9qpV+nS0iJy6NifRKdee2p/7yOgTDh6/xqpHioEFAIKAYWAAQRoE70IMl0EUabmeLgiJTZNNpLQLFvRj5Jw5/xIuEGTDmiuvbG4RjsLTodkqT3GZ7UUwSQLYH1OpP92oD9bS1Sc0fBgRTmbvy6ef0dG7jmFWu3pQDaLjJQ2p+8uDbkoAwP2acrNwpjG9Vfk2SxqO7+8ItA7/xqrESoEFAIKgV2DAM06dKGjIBWiKwjnRkJtVbRMhro9ND4zoaBGjKmRrkWe2U6BjojUTDPRHQi0F05utWgq61648K7VrrV03uCRYzh/o1fMHsnN4XBjM69KzmRaz/hYa0CEfmTEemKZWnWa2UcCrUQhUI2A+V9IdQ3qb4WAQkAhoBBQCPQYAoykQXONO7BlboU81xwWtcteD0w6DL5CUT4TDmnmHTTzKOpkHJXPXrhQs4lO7Jw/8ya09Ru244ViVvKFOJKzWLP1dtbQxHdiHO1sI4MU6ExKo0QhUI2A0kBXI6L+VggoBBQCCoFtjwDJ80oXw8NtARCkmaSbG81AXNCIu+CUWGhBM76lDTM70J+DH/3UegQOOlUWCtY1rQUkULE/fXdpQMWiQ/L5ghZy0MwQWy1Lm/kVmASp5CmtIrkzzzc4fd6Zg1ejUggoBBQCCgGFQMcRAHnNI/5ygo6HMMr2RiPiHx7qWDdc/oAc+PAnxBfeSDBCzTNsTSz1gdkHl5ftT99d2ZlEwjq5r6zHzHdOKlTyFDOI7a6ySgO9u663Gq1CQCGgEFAI9AgCDF838d7H1nsTu3VLbr/48vrf7fhy4CMgzn0k63p68yK0u3CuhPmGLsUCvjuNZSckyYzHs3DO3LCl1uux8zMUMtYfO9vM5UohDO2sU9W1cxBQGuidcy3VSBQCCgGFgEJgGyMQ3rNHAiMjbRvBxGOPQ9vdp9k55/IriJ29LC53GjbPm7W70LuCUBuLV1IsIjRg1ljZVgaWQzSTTksqtRmXTrev2uttBHpeA80fMbNF2S1M8+mCM0c76ra7r+2qjxjs5vEzha8Xy6i0c9utwt8AcdjNwt+AUbKw03Di9ee2W8fvQepn3v+99BycePABufaDH0muIpqILfcdxhmd3CduD3TFiLKBECFatfXeA3mD2cVLjoPt1T6zo8lkFteps6Hs3DCx6fa9wd9mZRIg7aKpf3oCgZ4n0LxxmEnKbiFxalfddve1XfXxwdAObNvVX7vr1RItIEHCbsWA9z8JxG53kOH1360Eks9B2nju1kkkfwMcey89A5zhsEx/7JckgwQucWQ/XL18RbJray09/txIFz5y6hSSu+QRUYKmGhsa43rvAZfTjckFMws2lkxmw/SjccnWjsZiacSCDlmqhNeYv3FOFs2Iy+Xu+r3Be1RJbyKwu1VPvXlNVK8UAgoBhYBCYJcj4AWRHrjriIw/9ggiZbT2qiZ5DI2PgkTS0W+DPDeCGDE5Gh1eP5bNGSu3foLFL7GYTv7rV8DJYPVkmDGcFxcXZX7+zpZj9WsqHVHctRlCu/t4z2ugd/flUaNXCCgEFAIKgd2MgK+vTw584uOSuD0r8ZkZSc7d2WLeERgdFRdWE+iECJX6OlwekHDfwIBE9+9b32f4CxKqGBGPxwkt7UabRs6xVsaBkHIJGR3tq3k6iTOJMh3/oshAGQqFtVXmxcWF9RWWPDJD0mTFqDCEnRKFQD0EjN9J9WpQ+xUCCgGFgEJAIaAQaBsCTpC+8NSktrGRmZdelvhNkGUICTK11CTQeZikJW7f1si20+uTweNHxeVjKkTzQsdCR4FmHE3sjo0ptKs6gAyRztKJpdTfxswUFhay0teXFZ9vq2lJEjbjTCVOIfElUa40T6IpBMn0APDyeJqMqdxbp5MmH50xUSk3qT62EQKKQG+ji6W6qhBQCCgEFAIKgYn3PCZ5mCaQSA8eP6aRZ6JCEh3Zt0/b7ECJsaGZ2tuJkHb1bHEdprIP0g65IIFAbp1AQ3GMMHoOkF+XtlWmFq81hlu35iUScWsa5gDCAG7IZia/sLCwcQjfqKGmBprtGZFYbE1lIDQC1C4uowj0Lr74augKAYWAQkAhsD0RoGZ56on3t73zhSKcbJEoxeUMgES7QUALWtg7h4MZFQuSz2VAhumMWc9OuwiNcQ4Rj/I4f2t3uc/tLmLLIeJFTmIxL9qoVVeJfJOA066ZWx/MW+gEHQyGZHV1dWvlVXvoTEgzD563mXxvFCTRpjZbmW9sYKK+1UZAEejauKi9CgGFgEJAIaAQUAgAgWIxh5jRjARCkwaqcGnzXIqOhUAVILAOEN9apiJwXgxloHU2pvYlmQ4GsyDFldpohnEjyc5rmms0vC46ySXhNSp5xOejKUcgEETfQlooU127Tg318vJS1yNvGB2LKtddBBSB7i7+qnWFgEJAIaAQUAhsEwRqOxbWM4twuwuGybMOAMk2TTw8noJGpAOBbE3NtV7e6mcymYCmOSEjSFzjhb04Nc+M1KFSd1tFdPedpwj07rvmasQKAYWAQkAhoBCwDQE6BAYCGZBQx7o9M22ZHQ5jmudaHSH55tZuIXHmRvMORZ7bjfbOql8R6J11PdVoFAIKAYWAQkAh0FEEaGJBjbEutHdOJj2mtc/6+Z38JHGOx2PK5rmToO+QthSB3iEXUg1DIaAQUAgoBBQCvYAAzTDC4VJIuV7oj+qDQqAdCNRydW1HO6pOhYBCQCGgEFAIKAQUAgoBhcCOQEAR6B1xGdUgFAIKAYWAQkAhoBBQCCgEOoWAItCdQlq1oxBQCCgEFAIKAYWAQkAhsCMQUAR6R1xGNQiFgEJAIaAQUAgoBBQCCoFOIaAIdKeQVu0oBBQCCgGFgEJAIaAQUAjsCAQUgd4Rl1ENQiGgEFAIKAQUAgoBhYBCoFMIKALdKaRVOwoBhYBCQCGgEFAIKAQUAjsCAUWgd8RlVINQCCgEFAIKAYWAQkAhoBDoFAKKQHcKadWOQkAhoBBQCCgEFAIKAYXAjkBAEegdcRnVIBQCCgGFgEJAIaAQUAgoBDqFgCLQnUJataMQUAgoBBQCCgGFgEJAIbAjEFAEekdcRjUIhYBCQCGgEFAIKAQUAgqBTiGgCHSnkFbtKAQUAgoBhYBCQCGgEFAI7AgEHEXIjhiJyUH88Ic/lJmZGfmVX/kVk2eq4jsFga9//evyyCOPyMmTJ3fKkNQ4TCLw+7//+/LVr35V/H6/yTNV8Z2AwNmzZ+X73/++fOlLX9oJw1FjsIDAP/zDP0goFJIP/v/t3VuITW8Yx/EHg4hxTI45RSGHmCtRGo2catyIZIorJq7dcMele6HcOkwpGUnCxQySc4zknMOEpskMMo79+z21xs5/DbP37Haz3vf7luzZe52ez7v2Xs9617vWW1VVwNzMErNAtC3QP3/+tO/fv8dc99HH/u3bN9N+QIlTQG0HX79+tUjbEOKs9D+i1vdf+wAlXgHlAT9+/IgXgMgLFog2gS5YjBkRQAABBBBAAAEEohYggY66+gkeAQQQQAABBBBAIF+BaPtAt7S0WEdHh02cODFfM6YPRODFixc2YsQIGzZsWCAREUa+Avfu3bPZs2dbv3798p2V6QMQ+Pjxo71//96mT58eQDSEUIhAc3OzlZWV2ZgxYwqZnXkiFog2gY64zgkdAQQQQAABBBBAoAcCdOHoAR6zIoAAAggggAACCMQnQAIdX50TMQIIIIAAAggggEAPBMp6MG+mZtWjik6dOmWtra02bdo0W7FihW//pUuXTP0gy8vLbePGjTwPNlO1mt/G3r9/365evWr9+/f3+h8/frypD+SZM2fsw4cPpr9Xr17t/eHyWzJTZ0XgwoUL9vjxYxs5cqStXbvWBg8e3Lnp586ds6FDh9rixYs73+NFWAJdHQeamprs5s2b/ljL6upq3z/CipxoEoG3b9+avut6jGkyDkBX+0UyD/8jkCYQTQv0tWvXbPTo0bZ9+3Z78+aN6Qay58+f27Nnz2zHjh02depUO3/+fJoR7wUgoOe91tfX25YtW2zlypV+MqWwLl68aDNmzPD9Qn/fvn1b/1ECFNDASU+ePPG61snS5cuXO6PUb0FDQ4PfWNz5Ji+CE0g7Drx69co0sFZNTY0tWbLENA0lXAE1mFRWVtrWrVvt7NmzPh5E2n4RrgCRFUsgmgR60KBBnjjrjuv29nZvZXz69KmPQqc78CsqKuzRo0fFcmU5vUxAdawBM3Ty9PLlSxs4cKBv4bJly2zBggX+Wi3TaommhCmgO+0/ffpk7969M915n4w+qNYnHUiXL18eZuBE1SmQdhzQFUj9Bly/ft30+apVqzqn50V4AqpjnTDrhFoNK3379vV617EhNz8IL3IiKrZANAn05MmTPXk6duyYP7Jq1KhRniwll3D1pfr8+XOxfVleLxFQ8jxv3jw7ceKEJ0uLFi3yLdMj7JRc67L+nTt3vAWql2wym1FkgSFDhpj+HT9+3E+WZ86c6Ws4efKkd90ZMGBAkdfI4nqbQNpxoK2tza9G6ERKrZONjY29bbPZniIKzJ8/39R1U7mAHmHZp08fS9svirhKFhWoQDR9oHWQVB/nKVOm+OU6XbpX0qwfTRUN56n+j5QwBXSZVi3Pu3bt8laHvXv32qxZs0xJ04MHD7x7R21tre8TYQoQ1ZUrV/z+h6qqKm99Onr0qLc2at+YMGGCd+fSkL46qI4dOxawAAXSjgP6DVi4cKEtXbrUW6IPHTrEiXSAda+Q1OJcV1dnu3fv9nthjhw54t26lA/8mR+sWbMmUAXCKpZANC3QumSvhFlFP5i6XK9BVNQXWkWXdNQvkhKmgOo8qf/kkp0iffjwofd937lzpw0fPjzM4InKBXJ/A/T91z6hK1HqD6krUcnvgrp6UMIUyN0HkvqeNGmSd+tTxGqNTrp3hSlAVGoo0zFARb8D+pe2XyCFwL8EohlI5fXr137nrS7X6yx0w4YNftDU2aj6vapf9LZt2/xpHP9C4/NsCugpLDpAfvnyxebOnetPW9i3b5+p1THpD6uWqOQJLdmMkq3uSkBXm9TqrIOn9gHVs24eTopuKtQ0SqgpYQqkHQd0Yn369GnvH69+sJs2bTIl1ZQwBW7cuGF37971rhtKptevX29p+4W6e1EQ+JtANAl0gqBH16jlIbekvZf7Oa/DEVBXHZ1EJS0Q4URGJN0V4PveXalwp0vbB/SeWiPVJ5YStoDuiVHDieo7t6TtF7mf8xqBXIHoEujc4HmNAAIIIIAAAggggEC+AtH0gc4XhukRQAABBBBAAAEEEEgTIIFOU+E9BBBAAAEEEEAAAQS6ECCB7gKGtxFAAAEEEEAAAQQQSBMggU5T4T0EEIhaQM8Crq6u9tErBaFnxB4+fDhqE4JHAAEEEPgtwE2Evy14hQACCLhAR0eHj1y5Z88e+/Xrl+3fv99u3br1vyf4wIUAAgggEKcAIwbEWe9EjQACfxHQc8EPHjxomzdv9sdd1dfXkzz/xYuPEEAAgdgEaIGOrcaJFwEEui1QUVHhg+w0NjZ2ex4mRAABBBAIX4A+0OHXMREigEABAhqdTqOUNjc3+0h1BSyCWRBAAAEEAhWgBTrQiiUsBBAoXKC9vd3mzJnjNw5qxLLa2lpramqy8vLywhfKnAgggAACwQiQQAdTlQSCAALFElDC3NLSYnV1db7IdevW2bhx4+zAgQPFWgXLQQABBBDIsAAJdIYrj01HAAEEEEAAAQQQKL0AfaBLb84aEUAAAQQQQAABBDIsQAKd4cpj0xFAAAEEEEAAAQRKL0ACXXpz1ogAAggggAACCCCQYQES6AxXHpuOAAIIIIAAAgggUHoBEujSm7NGBBBAAAEEEEAAgQwLkEBnuPLYdAQQQAABBBBAAIHSC5BAl96cNSKAAAIIIIAAAghkWIAEOsOVx6YjgAACCCCAAAIIlF6ABLr05qwRAQQQQAABBBBAIMMC/wFFAVMTgssTTQAAAABJRU5ErkJggg==" alt="plot of chunk unnamed-chunk-8"/> </p>

<p>Beautiful. Looks like a lot of change&hellip; can we see exactly what changed between the two years? (Notice that midpoint and range have to be changed here.)</p>

<pre><code class="r">districtavg &lt;- merge(districtpassavg62, districtpassavg63, by = &quot;District&quot;)
districtavg$delta &lt;- districtavg$PassMean63 - districtavg$PassMean62

ggplot() + geom_map(data = districtavg, aes(map_id = District, fill = delta),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat) + scale_fill_gradient2(low = muted(&quot;red&quot;),
    mid = &quot;white&quot;, midpoint = 0, high = muted(&quot;blue&quot;), limits = c(-20, 60))
</code></pre>

<p><img 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" alt="plot of chunk unnamed-chunk-9"/> </p>

<p>Wow, looks like there was significant change in the eastern part of the country, as well as the far west, and at least one district west of center!</p>

<h2>Final bonus: district names on the map!</h2>

<p>But but&hellip; which districts are changing? Lets put some district names on the map. Again, here is where we appreciate R&#39;s generic data and plotting libraries&hellip; we can do this by basically making a dataset that creates centroids per district, and map a layer of text onto this map using that district-centers dataset.</p>

<pre><code class="r">distcenters &lt;- ddply(np_dist, .(id), summarize, clat = mean(lat), clong = mean(long))
ggplot() + geom_map(data = districtavg, aes(map_id = District, fill = delta),
    map = np_dist) + expand_limits(x = np_dist$long, y = np_dist$lat) + scale_fill_gradient2(limits = c(-20,
    60), low = muted(&quot;red&quot;), mid = &quot;white&quot;, midpoint = 0, high = muted(&quot;blue&quot;)) +
    geom_text(data = distcenters, aes(x = clong, y = clat, label = id, size = 0.2))
</code></pre>

<p><img 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" alt="plot of chunk unnamed-chunk-10"/> </p>

<p>Not perfect, but not bad, for an 20 lines of code (if I don&#39;t count purely demonstrational code) or so of interactive prototyping!</p>

</body>

</html>

## index.rmd
<p><link href="http://kevinburke.bitbucket.org/markdowncss/markdown.css" rel="stylesheet"></link></p>

How to make choropleth maps with R
========================================================

There are many tools to make choropleths out there, each offering various levels of difficulty, and with various advantages. There are [cartodb](http://cartodb.com/) and [mapbox](http://mapbox.com) which are great for creating server-"baked" tilesets, [leaflet](http://leafletjs.com) and [d3.js](http://d3js.org) for making client-side visualizations with html, css, and javascript. My favorite, particularly at the prototyping stage, however, continues to be R and [ggplot2](http://ggplot2.org/). The awesome thing with R choropleths are that, with some practice:

   * They are the fastest to prototype and iterate on.
   * You are making maps within the R environment, so prototyping not just the look of the map, but also what data feeds into the map, become super easy.

With that introducation, let us begin.
(Might as well install the full list of packages used in this example at this point--type `install.packages(c("plyr", "ggplot2","rgeos", "maptools")))` in your R window).

The data we will be mapping today
---------------------------------
I started this exercise with a dataset from Nepal's [Office of the Controller of Examinations](http://soce.gov.np/), which shows pass / fail percentages and some other data for the SLC ["School-Leaving Certificate"](http://en.wikipedia.org/wiki/School_Leaving_Certificate_(Nepal)) in Nepal, a national examination that takes place at the end of 10th grade. The data is for the Nepali years 2062 and 2063 (2062 is mid-April 2005 to April 2006, 2063 is 2006-7), because those are the only [digital versions](http://soce.gov.np/school-performance/) accessible to us.

Acrobat was able to scan these pdfs into Excel files for us, which we lightly cleaned up to produce the dataset that you can also find in [this repository](https://gist.github.com/prabhasp/5030005).

```{r}
# READ IN DATA
edu63 <- read.csv("~/Downloads/fstat-063 reformatted.csv")

# WHAT COLUMNS DO WE HAVE?
library(plyr)
colwise(class)(edu63)
# more detailed output of "structure" can be gotten with str(edu62), I'm using
# the above code to have a more concise output
```

So, basically, what we have are data, by school (with school code and name), as well as by district, the total number of students, and number of folks passing various subjects, as well as the column we'll look at deeply here PASS.PERCENT, or percentage of students attending the exams who passed the SLC.

Okay, now to get some maps. [GADM.org](http://gadm.org) is a great resource for administrative boundaries of countries around the world--I will go ahead and download the "Admin Boundary Level 3" shapefiles for Nepal from GADM, which correspond to districts we have in the dataset.

Loading the map up
------------------
Next, we load the map into R. To do this, we'll use the `maptools` packages, which also needs rgeos installed. You might want to install these by doing `install.packages(c("rgeos", "gpclib", "maptools", "sp"))` (I've included the sp package while we're at it--this is a package that provides map represnetations shared by many other packages.)

```{r fig.width=10,fig.height=5}
library(rgeos)
library(maptools)
library(gpclib) # may be needed, may not be

# MAP
np_dist <- readShapeSpatial("~/Downloads/NPL_adm/NPL_adm3.shp")
# VERIFY IT LOADED PROPERLY
plot(np_dist)
```


Choropleth iteration I
----------------------
We'll now generate our first choropleth--which will need plenty of revision--just to demonstrate the method in ggplot2! The method is to first [fortify](http://docs.ggplot2.org/0.9.2.1/fortify.sp.html) the map object we have read in, where we provide to ggplot the name of a region (for us, this is district, ie, `NAME_3` for admin level 3). We'll also go ahead and uppercase the name of the districts because that is how our data names districts, and just try and produce *something*.

```{r fig.width=10,fig.height=5}
library(ggplot2)
np_dist <- fortify(np_dist, region="NAME_3")
np_dist$id <- toupper(np_dist$id) #change ids to uppercase
ggplot() +
  geom_map(data = edu63, aes(map_id=District, fill=PASS.PERCENT),
           map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat)
```
If you look at that command in detail, you'll notice that there isn't much there; we are passing in the data, saying that the "District" column should be mapped to the map's ids (which are districts), specifying the map source, and making sure that the boundaries are correct.

Of course, the map looks horrible right now. There are three major issues with it:

  1. there is missing data!
  1. its not that pretty right now
  1. i'm not sure what data we are plotting

So lets deal with each in reverse order.

Mapping the right data
----------------------
Our dataset is not a dataset with a row per district, it is a dataset with a row per school. To make sure that we are mapping the right data, we should summarize our data by district, and *then* map this aggregated data. I like to use `ddply` for this kind of stuff, which you should read about [here](http://plyr.had.co.nz/) if you'd like.

``````{r fig.width=10,fig.height=5}
# Take the mean of PASS.PERCENT by District
districtpassavg63 <- ddply(edu63, .(District), summarize,
                         PassMean63 = mean(PASS.PERCENT))
# Same plot, but use the right dataset and fill parameter
ggplot() +
  geom_map(data = districtpassavg63, aes(map_id=District, fill=PassMean63),
           map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat)

```


Making it prettier
------------------
`ggplot` allows pretty fancy colorations to be applied to the map. For this example, I think a divergent color scheme works perfectly. [After some reading of ggplot docs](http://docs.ggplot2.org/0.9.3/scale_gradient2.html), the solution for this is quite easy.

```{r fig.width=10,fig.height=5}
ggplot() +
  geom_map(data = districtpassavg63, aes(map_id=District, fill=PassMean63),
           map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat) +
  scale_fill_gradient2(low=muted("red"), mid="white", midpoint=50, high=muted("blue"), limits=c(0,100))
```

Dealing with missing data
-------------------------
And finally, we come to the most annoying problem, that of missing data. This is a pretty common problem, and comes from the fact that we are matching our dataset to the gadm map using the district name. The two datasets are using different spellings, and this is causing some of the data to be mismatched. Dealing with this kind of mismatch is a pain, and the best solution is usually dependent on the datasets themselves. Here, let us just start by inspecting what is not matching.

```{r}
namesInData <- levels(edu63$District)
namesInMap <- levels(factor(np_dist$id))

namesInData[which(!namesInData %in% namesInMap)]
namesInMap[which(!namesInMap %in% namesInData)]
```

The spelling differences are pretty minor, and thankfully, towards the ends of words. In this case, that means that we can take advantage of alphabetization to solve the problem easily; we'll just re-assign the "levels" of the districts in the data to those of the map, and try the graph now. Note that this may or may not work for your dataset, you may need to resort to anything ranging from find-and-replace in your dataset to name things according to the map, renaming your map admin levels by hand to match your data, or putting in a third "id" parameter that matches between map and data--this is where your data creativeness needs to step in :)

```{r fig.width=10,fig.height=5}
levels(districtpassavg63$District) <- levels(factor(np_dist$id))
ggplot() +
  geom_map(data = districtpassavg63, aes(map_id=District, fill=PassMean63),
           map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat) +
  scale_fill_gradient2(low=muted("red"), mid="white", midpoint=50, high=muted("blue"), limits=c(0,100))
```

The power of doing this in R -- What about 2062? Or the difference?
----------------------------
Of course, the power of doing this in R is that this work is easily repeatable, and we can apply what we did above with just a couple of lines to a new dataset, 2062 data.

```{r fig.width=10,fig.height=5}
edu62 <- read.csv("~/Downloads/fstat-062 reformatted.csv")
levels(edu62$District) <- levels(factor(np_dist$id))
districtpassavg62 <-ddply(edu62, .(District), summarize,
                          PassMean62 = mean(PASS.PERCENT))
ggplot() +
  geom_map(data = districtpassavg62, aes(map_id=District, fill=PassMean62),
           map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat) +
  scale_fill_gradient2(low=muted("red"), mid="white", midpoint=50, high=muted("blue"), limits=c(0,100))
```

Beautiful. Looks like a lot of change... can we see exactly what changed between the two years? (Notice that midpoint and range have to be changed here.)
```{r fig.width=10,fig.height=5}
districtavg <- merge(districtpassavg62, districtpassavg63, by="District")
districtavg$delta <- districtavg$PassMean63 - districtavg$PassMean62

ggplot() +
  geom_map(data = districtavg, aes(map_id=District, fill=delta),
           map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat) +
  scale_fill_gradient2(low=muted("red"), mid="white", midpoint=0, high=muted("blue"), limits=c(-20,60))
```
Wow, looks like there was significant change in the eastern part of the country, as well as the far west, and at least one district west of center!

Final bonus: district names on the map!
--------------------------------------
But but... which districts are changing? Lets put some district names on the map. Again, here is where we appreciate R's generic data and plotting libraries... we can do this by basically making a dataset that creates centroids per district, and map a layer of text onto this map using that district-centers dataset.
```{r fig.width=16,fig.height=8}
distcenters <- ddply(np_dist, .(id),
                     summarize, clat = mean(lat), clong = mean(long))
ggplot() +
  geom_map(data = districtavg, aes(map_id=District, fill=delta), map=np_dist) +
  expand_limits(x=np_dist$long, y=np_dist$lat) +
  scale_fill_gradient2(limits=c(-20,60), low=muted("red"), mid="white",
                       midpoint=0, high=muted("blue")) +
  geom_text(data=distcenters, aes(x=clong, y=clat, label=id, size=0.2))
```

Not perfect, but not bad, for an 20 lines of code (if I don't count purely demonstrational code) or so of interactive prototyping!

## zfstat-062 reformatted.csv
School Number,District,School Code,Name,ENG,NEP,MATH,SCI,SOC,HPE,TOTAL,SAP,DIST,FIRST,SECOND,THIRD,PASS,FAIL,PASS PERCENT
1,TAPLEJUNG,1000,PRIVATE TAPLEJUNG,16.6,28.2,11.4,19.2,27.2,34.4,15,15,0,0,1,0,1,14,6.67
2,TAPLEJUNG,1001,BALSUBODHINI SAN MA VI MEDIBUNG PHUNGLIN,17.8,41.7,22.1,29.5,44.8,41.9,34,34,0,2,4,0,6,28,17.65
3,TAPLEJUNG,1002,BHANUJAN MA VI AMBITAR,24.9,39.6,16.6,23,42.7,31.7,101,100,0,3,12,0,15,85,15
4,TAPLEJUNG,1003,MOTI MA VI KHOKLING,20.6,34.3,10.9,15.3,35.6,31.6,27,27,0,0,2,0,2,25,7.41
5,TAPLEJUNG,1004,SINAM MA VI SINAM,24.1,46.1,25.7,29.8,36.3,44.8,64,64,0,3,15,0,18,46,28.13
6,TAPLEJUNG,1005,GANESH MA VI KHEWANG,20.6,36.8,18.8,18.2,40.7,33.2,45,45,0,1,4,0,5,40,11.11
7,TAPLEJUNG,1006,THECHAMBU MA VI THECHAMBU,24.6,42.8,27.4,41.3,51.7,46.7,15,15,0,0,6,0,6,9,40
8,TAPLEJUNG,1007,MAIWAKHOLA MA VI TEMBE,21.5,39.6,25.2,31,42.3,43.1,65,65,0,3,12,3,18,47,27.69
9,TAPLEJUNG,1008,PRITHVI MA VI KHAMLUNG,20.3,38,15.5,25.2,39.4,34.8,19,19,0,0,0,0,0,19,0
10,TAPLEJUNG,1009,BHANJYANG MA VI LIMBUDIN,21.1,41,18.6,29.3,39.5,33.8,43,43,0,0,5,0,5,38,11.63
11,TAPLEJUNG,1010,NARAYANI MA VI SANGHU,22.6,41,15.3,30.7,37.5,31.1,44,44,0,0,9,0,9,35,20.45
12,TAPLEJUNG,1011,DURGA MA VI PHULBARI,18.6,36.3,12.7,28.9,39.5,29.5,47,47,0,0,2,1,3,44,6.38
13,TAPLEJUNG,1012,SARASWATI MA VI HANGPANG,25.2,42.9,20.4,28.4,41.5,40.9,35,35,0,0,5,1,6,29,17.14
14,TAPLEJUNG,1013,JANATA MA VI HANGDEWA,23.8,43.8,23.9,30.4,47.1,40.6,19,19,0,1,4,0,5,14,26.32
15,TAPLEJUNG,1014,SARASWATI MA VI LELEP,15.3,29.7,13.1,11.8,32.2,25.7,39,39,0,0,2,0,2,37,5.13
16,TAPLEJUNG,1015,SARASWATI MA VI SIKAICHA,25.7,43.2,19.3,30.4,39,30.1,30,30,0,2,4,0,6,24,20
17,TAPLEJUNG,1016,SANWA MA VI SANWA MEWAKHOLA,15.2,33.4,6.1,19.6,33.5,30.4,21,21,0,0,0,0,0,21,0
18,TAPLEJUNG,1017,TELLOK MA VI TELLOK,26.8,49.6,34.8,33.3,48.8,41.3,16,16,0,3,5,0,8,8,50
19,TAPLEJUNG,1018,NILGIRI MA VI MEHELE,23.4,37.8,11.8,23.6,37.9,37.1,40,40,0,0,3,0,3,37,7.5
20,TAPLEJUNG,1019,KALIKA MA VI NANGKHOLYANG,20,46.2,24,27,44.5,44,24,24,0,0,4,0,4,20,16.67
21,TAPLEJUNG,1020,NAVA JYOTI AWASIYA MA VI PHUNGLING,28.8,40,23.8,32.7,42.6,37,49,49,0,1,17,0,18,31,36.73
22,TAPLEJUNG,1021,SINWA MA VI LINGSIM SINWA,13.1,28.8,11.6,20.3,34.6,29.5,39,39,0,0,2,0,2,37,5.13
23,TAPLEJUNG,1022,MAHENDRA MA VI PHAKUMVA MAIWAKHOLA,23.9,39.2,20.1,29.8,38.7,32.6,12,12,0,1,2,0,3,9,25
24,TAPLEJUNG,1023,CHAKSIBOTE MA VI CHAKSIBOTE,19.9,36.7,15,25.5,34.8,33.7,30,30,0,0,2,0,2,28,6.67
25,TAPLEJUNG,1024,CHANGE MA VI CHANGE,18.1,35.8,12.2,24.2,39.3,34.7,50,50,0,2,2,0,4,46,8
26,TAPLEJUNG,1025,KALIKA MA VI TIRINGA,25.5,48.1,34.2,30.7,48.4,37.2,13,13,0,0,6,0,6,7,46.15
27,TAPLEJUNG,1026,SHARADA MA VI THUMBEDIN,21.9,43.4,26.4,36.6,47,42.1,37,37,0,0,10,1,11,26,29.73
28,TAPLEJUNG,1027,AMBEGUDIN MA VI RAJA,22.3,45.2,19.6,29.3,40.4,30.2,28,28,0,0,6,0,6,22,21.43
29,TAPLEJUNG,1028,TRIBHUVAN MA VI MEWAKHOLA THUKIYA,18.3,35.1,22.4,15.6,36.3,28.6,60,60,0,0,4,1,5,55,8.33
30,TAPLEJUNG,1029,BIRENDRA MA VI PHUNGLING-1 DEVLING,23.6,38.4,17,23.8,37.5,31.1,47,47,0,1,8,1,10,37,21.28
31,TAPLEJUNG,1030,KANCHANJUNGHA BOARDING SCHOOL PHUNGLING,53.6,49.9,67.3,47.4,60.3,58.1,32,32,1,25,6,0,32,0,100
32,TAPLEJUNG,1031,PARAM SINGHA DEVI MA VI NIGURADIN,18.3,39.9,17.5,26.5,38.4,36.6,11,11,0,0,2,0,2,9,18.18
33,TAPLEJUNG,1032,MECHI ST. MARY'S ENGLISH BOARDING SCHOOL P,H 43.4,54,50.3,37.3,58.4,46.4,9,9,0,7,2,0,9,0,100
34,TAPLEJUNG,1033,SIDDHAKALI MA VI DOKHU-5,17.5,39.9,19.4,19.1,36.5,30.4,37,37,0,0,2,0,2,35,5.41
35,TAPLEJUNG,1034,MAYAM MA VI FURUMBU-5,16.3,26.8,7.3,25,29.8,29.2,24,24,0,0,0,0,0,24,0
36,PANCHTHAR,2000,PRIVATE PANCHTHAR,23.4,40.6,43.8,25.7,42.3,27.1,134,132,0,1,34,17,52,80,39.39
37,PANCHTHAR,2001,PHIDIM MA VI PHIDIM,23,42.4,30.3,26.4,39.9,37.1,105,105,0,2,32,1,35,70,33.33
38,PANCHTHAR,2002,AMARPUR MA VI DORAMBA AMARPUR,17.9,42.5,19.4,26.1,47.2,42.5,20,20,0,0,3,0,3,17,15
39,PANCHTHAR,2003,BISHNU MA VI CHYANGTHAPU,21.9,38.6,39.8,31.9,45.5,38.3,69,68,0,0,22,11,33,35,48.53
40,PANCHTHAR,2004,KHALANGATAR MA VI YANGNAM,8.8,32.7,16.5,17.7,37.8,24.9,119,116,0,0,1,0,1,115,0.86
41,PANCHTHAR,2005,SIDDHA DEVI MA VI NAWAMIDADA,15.8,34.9,16.7,25.5,35.5,41.5,51,51,0,0,1,0,1,50,1.96
42,PANCHTHAR,2006,SIDDHAKALI MA VI EAKTIN JORPATI,12.6,38.1,21,21.6,38.9,39.5,34,34,0,0,1,0,1,33,2.94
43,PANCHTHAR,2007,NAYA NAMUNA MA VI PHIDIM BAZAR,37.3,39.9,49.5,32.8,46,45.2,90,90,0,15,46,3,64,26,71.11
44,PANCHTHAR,2008,SIDDHA DEVI MA VI NANGIN PIPALBOTE,25.5,40.1,21.3,26.3,49.9,32.2,53,53,0,0,8,5,13,40,24.53
45,PANCHTHAR,2009,SIDDHESWORI MA VI BHARPA TUWA,10,34.3,22,22,42.7,33.3,66,66,0,0,2,0,2,64,3.03
46,PANCHTHAR,2010,GUPTESHWOR MA VI OYAM,20.1,35.9,38.1,30.6,40.2,36.5,39,39,0,0,7,5,12,27,30.77
47,PANCHTHAR,2011,JAY NARAYAN ADARSHA MA VI MEHELBOTE,17.4,38,19.5,21,32.8,35.8,52,52,0,0,3,0,3,49,5.77
48,PANCHTHAR,2012,DURGA MA VI RAVI,12.6,36.6,11.6,23.2,40.9,26.4,48,47,0,0,0,0,0,47,0
49,PANCHTHAR,2013,PRITHIVI MA VI YASOK,18.7,37.5,18.2,20.4,33.5,37,78,78,0,0,11,1,12,66,15.38
50,PANCHTHAR,2014,INDRANI MA VI MOUWA,12.3,40.2,17.2,21.4,40.3,33,110,108,0,0,5,0,5,103,4.63
51,PANCHTHAR,2015,NILGIRI MA VI SUBHANG,15.7,37.1,28.5,26.8,45.5,36.8,42,42,0,1,5,0,6,36,14.29
52,PANCHTHAR,2016,RANITAR MA VI RANITAR,20,43.1,34.4,22.5,37.5,35.5,66,66,0,5,9,3,17,49,25.76
53,PANCHTHAR,2017,SARASWATI MA VI MACHHEBUNG,18.1,35.4,36.8,31.8,43.6,41.6,29,29,0,0,6,0,6,23,20.69
54,PANCHTHAR,2018,THARPU MA VI THARPU,14.7,36.6,15.1,27.1,45.1,45.9,84,84,0,3,4,0,7,77,8.33
55,PANCHTHAR,2019,SIRIJUNG MA VI GOPETAR,13.6,35.3,29.5,24.8,44.5,38.4,50,50,0,1,6,0,7,43,14
56,PANCHTHAR,2020,DURGA MA VI SARANGDANDA,12.3,42.9,15.5,24.3,44.6,28.4,22,22,0,0,0,0,0,22,0
57,PANCHTHAR,2021,SARASWATI MA VI CHOKMAGU,20.7,34.7,18.6,21,48.1,26.1,46,46,0,0,3,2,5,41,10.87
58,PANCHTHAR,2022,SARATAP MA VI PAUWA,26,32.5,31.1,24.8,43.3,37.5,46,46,0,0,8,3,11,35,23.91
59,PANCHTHAR,2023,KALIKA MA VI PRANGBUNG,14.6,36.2,17.3,22.4,42.7,37.9,47,47,0,0,1,0,1,46,2.13
60,PANCHTHAR,2024,JANA KALYAN MA VI KOLBUNG PHAKTEP,16,31.5,18.2,20.1,29.8,33.3,23,23,0,0,2,0,2,21,8.7
61,PANCHTHAR,2025,MECHI ENGLISH SCHOOL PHIDIM 4,53.5,44.4,59.2,42.5,58,52.5,42,42,0,27,15,0,42,0,100
62,PANCHTHAR,2026,ARUBOTE MA VI ARUBOTE,17.5,35.5,12.9,21.9,39.9,20.7,67,66,0,0,2,0,2,64,3.03
63,PANCHTHAR,2027,MAHENDRODAYA MA VI PIPALBOTE,25.2,38.3,20.9,19.9,44.1,24.5,31,31,0,0,7,0,7,24,22.58
64,PANCHTHAR,2028,SINGHA SIDDHA MA VI ANSHUBHANJYANG LUWAPH,17.2,38.1,34,26.3,43.7,31.2,29,29,0,0,8,2,10,19,34.48
65,PANCHTHAR,2029,GANESH MA VI NAGI CHITTOK,12.5,32.3,13.7,22.4,42.5,39.3,60,60,0,0,1,0,1,59,1.67
66,PANCHTHAR,2030,KURUMBA MA VI KURUMBA,20.8,54.1,28.9,26.5,46.6,36.2,13,13,0,0,2,0,2,11,15.38
67,PANCHTHAR,2031,GHURBISE PANCHAMI MA VI PHAKTEP,21.9,34,15.9,17.7,39.8,18.8,92,92,0,0,8,3,11,81,11.96
68,PANCHTHAR,2032,MAHADEV GUPTESHWOR MA VI PHULPA LUNGRUP,14.8,33.8,16.3,24.2,34.6,35.6,45,45,0,0,1,0,1,44,2.22
69,PANCHTHAR,2033,SIDDHA SARASWATI MA VI BARBHANJYANG MANGJ,28.5,37.8,28.9,25.5,44.4,28.4,8,8,0,0,2,3,5,3,62.5
70,PANCHTHAR,2034,CHANDRESHWAR MA VI KHANDRONG,19,43.2,24.7,25.2,44,32,23,23,0,0,5,0,5,18,21.74
71,PANCHTHAR,2035,VIDYA BARDAN ENGLISH BOARDING SCHOOL PHIDI,37.2,41.2,50.6,36.8,47.3,49.3,33,33,0,13,14,0,27,6,81.82
72,PANCHTHAR,2037,ITHUNG MA VI RANITAR,18.8,35,19.6,23,42.5,25.6,53,53,0,0,3,3,6,47,11.32
73,PANCHTHAR,2038,KALIKA SECONDARY SCHOOL BABUNGA NAGIN,23.6,40.6,21.5,24.7,48.1,28.2,41,41,0,0,4,2,6,35,14.63
74,PANCHTHAR,2040,SIDDHA MA VI PANCHAMI,11.1,37.9,27.2,23.9,42.7,34,42,42,0,0,1,1,2,40,4.76
75,PANCHTHAR,2041,INDRAWATI MA VI HANGUM,15.4,36.8,15.7,18.4,34.6,29.1,29,29,0,0,0,0,0,29,0
76,PANCHTHAR,2042,SIDDHA DEVI MA VI SIDIN,17.7,39.3,26.6,20.8,42,41,56,56,0,0,6,0,6,50,10.71
77,PANCHTHAR,2043,JALA SINGH MA VI PAUWA SARTAP,26.4,42.2,35.5,24.9,38.9,39.8,20,20,0,1,9,1,11,9,55
78,PANCHTHAR,2044,SARSWATI MA VI KHUNGA EAKTIN,13.9,38.4,21.4,22.7,42,36.5,31,31,0,0,3,0,3,28,9.68
79,PANCHTHAR,2045,SINGHA DEVI MA VI KURUMBA SIKTEMBA,16,35.2,9.8,19.7,37.1,21,25,25,0,0,2,0,2,23,8
80,PANCHTHAR,2046,SARBAJANIK MA VI LIMBA,24.2,44.9,25.2,26.8,44.3,34.4,13,13,0,1,3,0,4,9,30.77
81,PANCHTHAR,2047,SANTI BAL BIKASH SECONDARY ENGLISH BOARDIN,22,40.7,22.3,22,33.7,38.5,24,24,0,0,5,0,5,19,20.83
82,PANCHTHAR,2048,SINGHPUR PASHUPATI MA VI AMARPUR,12,32.4,16.8,24.1,40.9,44.8,49,49,0,0,3,0,3,46,6.12
83,PANCHTHAR,2049,SIDDHA MA VI TINGDEN RANIGAUN,23.5,38.7,29.8,27.3,44.3,27.9,17,17,0,0,7,0,7,10,41.18
84,PANCHTHAR,2051,HOLY CHILD ENGLISH SECONDARY SCHOOL RABI,22.5,38.2,19.3,25.5,44.4,29,26,26,0,0,1,0,1,25,3.85
85,PANCHTHAR,2052,JANAJYOTY SECONDARY ENGLISH BOARDING SCH,17,35.1,11.5,21.2,39,21.1,37,36,0,0,0,0,0,36,0
86,PANCHTHAR,2053,BHAGAWATI MA VI DURDIMBA,16.2,45.9,19.3,25.2,45.5,35.5,15,15,0,0,1,0,1,14,6.67
87,PANCHTHAR,2054,BUDDHA MA VI FALAICHA-3,24,43.4,36.9,34.2,49.8,42.6,25,24,0,0,14,2,16,8,66.67
88,PANCHTHAR,2055,SATYA HANGMA MA VI ENABUNG,15.5,34.8,22,27.5,35.1,41.9,19,19,0,0,4,1,5,14,26.32
89,PANCHTHAR,2056,NILAKANTHA ENGLISH BOARDING SCHOOL PHIDIM,44,43.5,51.5,33.8,46.5,46.5,4,4,0,0,4,0,4,0,100
90,ILAM,3000,PRIVATE ILAM,22,27.6,17.2,18.4,29.6,28.4,5,4,0,0,1,0,1,3,25
91,ILAM,3001,ADARSHA MA VI ILAM,28.5,45.3,24.8,28.8,50.8,31.8,112,112,0,8,26,2,36,76,32.14
92,ILAM,3002,KARFOK VIDYAMANDIR MA VI PANCHAKANYA,27.9,39.1,24,26.7,41.9,42.1,144,144,0,1,36,7,44,100,30.56
93,ILAM,3003,NAMSALING MA VI NAMSALING,26.3,45.4,22.3,28.3,41.8,34.2,68,68,0,1,14,1,16,52,23.53
94,ILAM,3004,BHANUBHAKTA MA VI MANGALBARE,32.9,49.9,14.7,26.5,37.6,39.4,135,135,0,6,15,0,21,114,15.56
95,ILAM,3005,SINGHA DEVI MA VI AMCHOK,21.4,40.5,13.3,26.9,37.9,32.4,76,75,0,3,4,2,9,66,12
96,ILAM,3006,JITPUR MA VI JITPUR,24.6,41.9,20.7,32.3,39.6,33.8,94,94,2,2,13,2,19,75,20.21
97,ILAM,3007,BOUDDHADHAM MA VI PASHUPATINAGAR,22,45.1,36.1,31.3,40,34.6,70,70,0,0,25,6,31,39,44.29
98,ILAM,3008,SARASWATI MA VI SULUBUNG,18.9,40,23.1,28.5,42.5,41.3,63,63,0,2,8,0,10,53,15.87
99,ILAM,3009,AMAR KALYAN MA VI NAYABAZAR,31.5,42.3,21.7,35.2,47.3,39.4,41,41,0,3,6,2,11,30,26.83
100,ILAM,3010,MAHENDRODAYA MA VI GAJURMUKHI,26.7,46.2,16.4,22.1,32.6,34.4,73,73,0,1,12,1,14,59,19.18
101,ILAM,3011,JANAK MA VI SHREE ANTU,25,45.4,36.4,31.9,42.8,36.8,64,64,0,0,31,4,35,29,54.69
102,ILAM,3012,CHISOPANI MA VI MIKLUNG BANJHO,21.2,36.4,11.1,18.7,34,30,25,24,0,0,2,0,2,22,8.33
103,ILAM,3013,AMAR MA VI BARBOTE,24.5,42.1,32.2,34.7,42.9,41,90,90,0,2,36,3,41,49,45.56
104,ILAM,3014,SARASWATI MA VI BATASE LAXMIPUR,22.1,36.5,22.9,24.7,39.4,40.4,145,144,0,1,32,4,37,107,25.69
105,ILAM,3015,SINGHA BAHINI MA VI SINGHANAGAR,25.9,40,10.6,26.1,42,32.5,20,20,0,0,1,0,1,19,5
106,ILAM,3016,KRISHNASHRAM MA VI KANYAM,25,46.1,26.1,37.5,47.3,42.7,55,54,0,5,11,0,16,38,29.63
107,ILAM,3017,KANKAI MA VI DANABARI,17.7,41.9,23.9,27.2,42.7,35.4,110,110,0,3,10,1,14,96,12.73
108,ILAM,3018,JANATA MA VI KANCHANPUR,20.3,35.4,18.9,16.8,37.6,25.6,169,165,0,3,13,6,22,143,13.33
109,ILAM,3019,JYOTISADAN BOARDING SCHOOL MALAPATH,36,48.8,30,31.4,50,38.9,37,37,0,5,15,1,21,15,56.76
110,ILAM,3020,FIKKAL MA VI FIKKAL,21.9,47.7,15,32.6,42.6,37.9,87,87,0,0,4,0,4,83,4.6
111,ILAM,3021,SHANTI NIKETAN MA VI KOLBUNG,27.7,53.5,22.4,40.3,49.5,40.5,41,40,0,4,7,0,11,29,27.5
112,ILAM,3022,BHAGAWATI MA VI GOLAKHARKA,26.3,42.8,19,27.6,43.2,44,41,41,0,1,5,0,6,35,14.63
113,ILAM,3023,SINGHA DEVI MA VI EKATAPPA,23.3,38.4,13,29.4,38.5,35.7,116,115,0,2,6,1,9,106,7.83
114,ILAM,3024,NEPALTAR MA VI SAKHEJUNG,20.7,42.2,26.1,26.3,48.4,46.4,80,79,0,4,15,0,19,60,24.05
115,ILAM,3025,JANATA MA VI CHISAPANI,25.1,39.4,15.8,18,39.7,37.5,28,28,0,0,1,0,1,27,3.57
116,ILAM,3026,HIMALAYA MA VI GORKHEY,21.5,38.4,13.1,26.4,39.6,34.5,61,61,0,0,0,1,1,60,1.64
117,ILAM,3027,SHYAMBAL MA VI MAIMAJHUWA,16.9,35.9,15.5,24.1,39.1,35.9,20,20,0,0,3,0,3,17,15
118,ILAM,3028,SANGRUMBA MA VI SANGRUMBA,22.1,43.8,14.3,22.1,40.8,38.8,59,59,0,1,5,0,6,53,10.17
119,ILAM,3029,PURNA SMARAK MA VI GODAK,29.3,39.8,30.9,27.2,42.5,45.2,39,39,0,1,17,3,21,18,53.85
120,ILAM,3030,MAIPOKHARI SAN MA VI MAIPOKHARI SULUBUNG,15.1,38.5,16.6,27,42.3,37.6,28,28,0,0,2,0,2,26,7.14
121,ILAM,3031,BHAGAWATI MA VI JAMUNA,18.3,38,23.1,28,46.6,41.8,39,39,0,0,7,0,7,32,17.95
122,ILAM,3032,MIKLACHONG MA VI SAKPHARA,19.3,33.2,12,14.2,35.9,25,22,21,0,0,0,0,0,21,0
123,ILAM,3033,KHANDRUNG MA VI SIDDHITHUMKA,26,43.2,21,27.9,42.6,39.1,69,69,0,2,15,0,17,52,24.64
124,ILAM,3036,PANCHAKANYA AWASIYA VIDHYA MANDIR FIKKAL-6,37.2,47.4,37.5,35,56.3,49.2,50,50,0,16,23,0,39,11,78
125,ILAM,3037,EVERLAND INTERNATIONAL ACADEMY FIKKAL,45.2,59.8,51.2,50.9,58.3,48.8,46,46,0,34,10,0,44,2,95.65
126,ILAM,3038,MOUNT MECHI AWASIYA MA VI,50.7,51.1,52.4,45.2,58.3,50.7,49,49,7,19,17,0,43,6,87.76
127,ILAM,3039,SARASWATI MA VI BHALUTAR,19,34.3,11.4,19.7,33.5,27.9,53,52,0,0,4,0,4,46,7.69
128,ILAM,3040,SARASWATI MA VI SOYANG,15.8,34.7,15.4,25.2,43.1,33.4,54,54,0,0,2,0,2,52,3.7
129,ILAM,3041,SHANTIPUR MA VI SHANTIPUR,24.8,43.5,27.6,28.8,45.7,42.8,46,46,0,3,14,2,19,27,41.3
130,ILAM,3042,BHAGAWATI MA VI DHUSENI,20.1,37.2,12.8,30,38.1,29.4,70,70,0,1,6,0,7,63,10
131,ILAM,3043,SUNAKHARI SECONDARY ENGLISH BOARDING SCH,23.4,34.4,14.7,19.3,37.3,30.8,19,19,0,0,0,0,0,19,0
132,ILAM,3044,PANCHA MA VI SHANTIDANDA-8,22.3,33.9,15.6,21.6,41.6,36.2,56,56,0,0,7,0,7,49,12.5
133,ILAM,3045,BINAPANI MA VI PUWAMAJHUWA-3,19,39.8,20,23.6,45.2,43.1,24,24,0,1,1,0,2,22,8.33
134,ILAM,3047,DAMBAR DEVI MA VI CHAMAITA,29.7,49.3,45.7,36,54.7,52,30,30,0,9,12,0,21,9,70
135,ILAM,3048,LAXMI ADARSHA MA VI MAHAMAI,25.8,40.8,18.9,27,40.8,32.6,24,24,0,1,7,0,8,16,33.33
136,ILAM,3049,ILAM VIDYA MANDIR MA VI NARAYANSTHAN,36.3,60.9,46,37.1,54.5,41.8,61,61,0,20,32,0,52,9,85.25
137,ILAM,3050,EBHANG MA VI EBHANG,27.3,48.3,13.9,27.5,44.1,37.3,33,33,0,1,5,1,7,26,21.21
138,ILAM,3051,SIDDHA BABA AWASIYA MA VI,38.9,45.8,42.7,28.5,56.8,53.1,11,11,0,5,3,0,8,3,72.73
139,ILAM,3052,MAHABHARAT BAL AWASIYA MA VI RANKAY,27.9,34.7,28.3,25.3,48.3,41.8,18,18,0,2,6,0,8,10,44.44
140,ILAM,3053,GYANODAYA MA VI JOGMAI,25.8,38.8,23.1,30.4,43.5,37.4,34,34,0,1,7,0,8,26,23.53
141,ILAM,3054,JYOTI VIDYA MANDIR MALAPATH,34,52.1,46,33.9,53.7,42,45,45,0,10,27,1,38,7,84.44
142,ILAM,3055,PRABODH MA VI MABU-5,13.2,34.9,19.8,27.5,41.7,34.7,13,13,0,0,0,0,0,13,0
143,ILAM,3056,ARUNODAYA AWASIYA MA VI LAXMIPUR,31.9,44.7,31.9,42.8,48.4,46,28,28,0,5,15,0,20,8,71.43
144,ILAM,3057,RASTRIYA MA VI KOLBOTE,22,42.6,17.5,31.4,38.6,29,28,28,0,0,5,0,5,23,17.86
145,ILAM,3058,MOTIRAM MA VI JIRMALE SALAKPUR ILAM,29,48,37.3,39.2,45.8,45.8,25,25,0,4,15,0,19,6,76
146,ILAM,3059,SAMALBUNG MA VI SAMALBUNG,24.8,47.9,44.3,31.1,39.4,41.3,31,31,0,0,16,2,18,13,58.06
147,ILAM,3061,BISHNU SECONDARY SCHOOL PHUYETAPPA ILAM,23.3,47.2,16.1,34,41.9,40,23,23,0,1,3,0,4,19,17.39
148,ILAM,3062,GREEN VALLEY ACADEMY MA VI ILAM,58.3,62.1,64.3,54.4,66.1,58.7,31,31,9,20,2,0,31,0,100
149,ILAM,3063,RHODODENDRON ILAM BODRDING SCHOOL BARBO,31.5,42.5,31.4,27.1,44.3,41.8,20,20,0,4,4,1,9,11,45
150,ILAM,3064,SUNRISE ENGLISH SCHOOL FIKKAL-6,44.4,55.6,61.6,57.4,57.6,50,17,17,0,14,3,0,17,0,100
151,ILAM,3065,PRAJNA SADAN RESIDENTIAL AND DAY ENGLISH HI,51.7,56,51,47.9,64.4,54.2,24,24,0,15,6,0,21,3,87.5
152,ILAM,3066,BAL MANDAL MA VI JASBIRE,14.8,36.5,17.2,23.7,34.9,34.3,19,18,0,0,2,0,2,16,11.11
153,ILAM,3067,PYANG MA VI PYANG-5,20.7,46.5,17.8,31.9,41.6,39.4,25,25,0,0,2,0,2,23,8
154,JHAPA,4000,PRIVATE JHAPA,24,34.8,17.4,26.4,28.8,31.9,16,16,0,0,1,0,1,15,6.25
155,JHAPA,4001,BHADRAPUR MA VI BHADRAPUR,22.5,38.1,13.1,26.6,38.8,45.5,114,114,0,3,7,1,11,103,9.65
156,JHAPA,4002,DILLIRAJ MA VI TANGANDUBBA,17.7,36.8,17,28.9,41.7,37.2,96,96,0,4,4,0,8,88,8.33
157,JHAPA,4003,MAHENDRA RATNA MA VI ANARMANI,33.6,50,40.8,32.9,46.3,46.9,88,88,0,14,53,5,72,16,81.82
158,JHAPA,4004,HIMALI MA VI PRITHIVINAGAR,26.2,42.5,22.2,28.9,51.9,32.5,68,68,0,3,12,4,19,49,27.94
159,JHAPA,4005,MOTI MA VI DHARAMPUR,19.7,40.4,24.7,27.8,40.8,32.4,40,39,0,1,6,1,8,31,20.51
160,JHAPA,4006,SAGARMATHA AWASIYA MA VI ANARMANI,34.1,35.6,23.2,21.9,42.4,36.3,20,20,0,0,5,0,5,15,25
161,JHAPA,4007,PRAGATI MA VI JUROPANI,22,46.7,30.4,34.6,53,46.8,42,42,0,3,5,0,8,34,19.05
162,JHAPA,4008,DURGA MA VI GARAMANI,26.8,45.6,28,27.6,43.3,38,83,79,0,7,30,2,39,40,49.37
163,JHAPA,4009,LITTLE FLOWER ENGLISH MA VI ANARMANI,52.5,54.2,58.3,45.5,55.1,51.2,113,113,2,79,29,0,110,3,97.35
164,JHAPA,4010,KANKAI AWASIYA ENGLISH MA VI BIRTAMOD,46.9,42.1,43.5,38,53,43.7,69,69,0,22,29,0,51,18,73.91
165,JHAPA,4011,BIRENDRA MA VI CHANDRAGADHI,29.8,43.1,29.8,31,38.5,46.6,69,69,1,6,20,0,27,42,39.13
166,JHAPA,4012,PASHUPATI MA VI RAJGADHA,17.3,39.4,20.3,25.6,39.4,36.2,63,63,0,1,9,0,10,52,15.87
167,JHAPA,4013,BANI MA VI LAKHANPUR,15.4,38.1,25.5,29.3,46,35.7,113,113,0,7,8,0,15,98,13.27
168,JHAPA,4014,JANA JAGRITI MA VI GOLDHAP,19.5,41.1,26.6,22.1,38,34.7,122,122,0,2,15,11,28,94,22.95
169,JHAPA,4015,LAKSHMI MA VI BANIYANI,18.6,43.8,22.2,20.8,56.8,36.3,66,66,0,4,5,0,9,57,13.64
170,JHAPA,4016,SIDDHARTHA BOARDING MA VI DAMAK,53.5,61,74.2,51.3,51.6,52.4,94,93,11,71,10,0,92,0,98.92
171,JHAPA,4017,NARENDRA JANTA MA VI TOPGACHHI,28.6,41.1,24.1,28.7,44.8,39.4,52,51,0,2,11,0,13,38,25.49
172,JHAPA,4018,ADARSHA MA VI BUDHABARE JAYPUR,27,41.5,32.2,35.7,50.2,39.5,103,103,0,2,52,8,62,41,60.19
173,JHAPA,4019,CHULACHULI ENGLISH BOARDING MA VI DAMAK,54.2,57,63.3,53.6,54.1,49.6,45,45,1,39,5,0,45,0,100
174,JHAPA,4020,ADARSHA VIDYAMANDIR MA VI GHAILADUBBA,15.2,33.3,13.9,23.4,42,30.8,90,90,0,0,0,0,0,90,0
175,JHAPA,4021,DHULABARI MA VI DHULABARI,23.9,50.1,34,33.3,49.7,38.1,38,37,0,2,12,1,15,22,40.54
176,JHAPA,4022,BUDDHA ADARSHA MA VI JAYPUR BUDHABARE,21.9,49.3,32.9,30,44.8,37.1,107,107,0,6,30,3,39,68,36.45
177,JHAPA,4023,BALBHADRA JANTA MA VI DHAIJAN,26.4,45,40.9,42.2,51.3,46.8,43,43,0,10,10,0,20,23,46.51
178,JHAPA,4024,BHRIKUTI MA VI DURGAPUR,24.2,45.5,22,30.5,48,40.4,62,62,0,6,12,1,19,43,30.65
179,JHAPA,4025,TRIBHUWAN MA VI PANCHGACHI,21.9,40,24.2,33.9,43.6,39.9,45,45,0,3,7,0,10,35,22.22
180,JHAPA,4026,GYANJYOTI MA VI GAURADAHA,41.4,54.3,53.9,41.6,54.8,50.9,39,39,2,19,10,0,31,8,79.49
181,JHAPA,4027,MECHI JANASADHARAN MA VI BAHUNDANGI,24.9,40.8,19,29.5,40.6,36.9,53,53,0,0,9,0,9,44,16.98
182,JHAPA,4028,SANISCHARE MA VI SANISCHARE,19.1,39.1,34.8,27.1,41.8,36,81,81,0,2,11,5,18,63,22.22
183,JHAPA,4029,KANKAI MA VI SURUNGA,26.5,42,31.8,30.8,52.8,45.5,112,111,0,11,33,3,47,64,42.34
184,JHAPA,4030,SHANTI ADARSH MA VI SHANTINAGAR,25.4,54.1,21.5,26.6,42.4,35.7,57,57,0,2,12,1,15,42,26.32
185,JHAPA,4031,SCHOOL CHAUN MA VI MAHARANIJHORA,23.3,41.9,26,30.3,40.5,48,41,41,0,3,11,2,16,25,39.02
186,JHAPA,4032,KHAJURGACHHI MA VI KHAJURGACHHI,16.3,35.6,23,28.1,44.9,35.8,54,54,0,2,5,2,9,45,16.67
187,JHAPA,4033,JANA ADARSHA MA VI SHIVGUNJ,18.2,40.9,25.2,29.7,40.4,32.2,153,152,0,2,25,3,30,121,19.74
188,JHAPA,4034,GAURIGUNJ MA VI GAURIGUNJ,23.8,44.9,31.9,31.2,52.1,39.5,50,50,0,8,3,0,11,39,22
189,JHAPA,4035,JANATA MA VI GAURADAHA,23,50.2,22.2,26.6,33.7,39.4,130,130,0,6,20,0,26,104,20
190,JHAPA,4036,BHADRAKALI MA VI KOHABARA,26.7,47.4,33.5,23.5,40.3,34.9,53,53,0,4,12,4,20,33,37.74
191,JHAPA,4037,AMAR MA VI BAIGUNDHURA,25.3,42,27.5,24.1,35.8,34.2,33,33,0,1,8,1,10,23,30.3
192,JHAPA,4038,DHUKURPANI MA VI DHUKURPANI,21.4,45.8,25.9,33.2,45.3,37.7,49,49,0,2,9,2,13,36,26.53
193,JHAPA,4039,MAHENDRA RATNA MA VI TOPGACHHI,24.8,48.5,21.5,26.7,49.2,32.1,92,92,0,8,10,1,19,73,20.65
194,JHAPA,4040,HIMALAYA MA VI DAMAK,22.9,41.5,21.4,32.3,42.8,35.4,183,183,0,14,24,3,41,142,22.4
195,JHAPA,4041,HALDIBARI MA VI HALDIBARI,16.4,39.6,26.4,24.3,43.8,34.1,114,114,0,4,15,2,21,93,18.42
196,JHAPA,4042,RASTRIYA RAMANIYA ADARSHA MA VI DUDHE,20.1,38.3,18.5,28.9,42.1,38.2,62,62,0,0,7,1,8,53,12.9
197,JHAPA,4043,ARANIKO MA VI MAHESHPUR,25.2,38,14.9,28.1,41.1,43.4,42,42,0,2,4,0,6,36,14.29
198,JHAPA,4044,ADARSHA MA VI AYABARI KAKARVITTA,21.9,42.1,19.7,27.1,38.4,35.5,112,112,0,2,17,0,19,93,16.96
199,JHAPA,4045,DEEP JYOTI VIDYAMANDIR MA VI ARJUNDHARA,47.5,54.9,50.3,42.7,58.7,46.5,55,55,1,30,20,0,51,4,92.73
200,JHAPA,4046,JANTA MA VI SARANAMATI,23.2,42.3,26.6,25.2,42.9,37,93,93,0,4,21,4,29,64,31.18
201,JHAPA,4047,SARASWOTI MA VI ETABHATTA DAMAK,20.7,44.8,27.7,32.7,46.7,40.8,144,144,0,12,28,0,40,104,27.78
202,JHAPA,4048,SINGH DEVI MA VI DAMAK SANOBARGHARE,15.6,38.9,21.3,30,41.5,38.4,51,51,0,1,8,1,10,41,19.61
203,JHAPA,4049,PUHATU JANJYOTI MA VI CHANDRAGADHI,28.3,45.4,27.7,30.2,36.6,42.6,52,52,0,4,12,0,16,36,30.77
204,JHAPA,4050,KAKARVITTA MA VI KAKARVITTA,24.8,45.8,26.8,27.5,50.9,34.3,53,53,0,2,14,2,18,35,33.96
205,JHAPA,4051,JANATA MA VI KHUDUNABARI,13.7,36.7,13,19.4,40.4,33.9,138,136,0,2,2,3,7,129,5.15
206,JHAPA,4052,SARASWATI MA VI RANGAPUR,26.8,41.6,27,32.9,43.1,36.5,59,59,0,4,16,4,24,35,40.68
207,JHAPA,4053,PHULBARI MA VI CHAKCHAKI,20.8,32.6,23.4,21.9,37.4,36.9,94,93,0,0,17,7,24,69,25.81
208,JHAPA,4054,MAHENDRA MA VI JALTHAL,20.6,41,25.7,30.2,44.5,40.9,85,85,0,3,15,3,21,64,24.71
209,JHAPA,4055,MAHENDRA JYOTI MA VI GARAMANI,18.4,38.1,20.9,21.7,37.2,34.3,59,58,0,2,6,1,9,49,15.52
210,JHAPA,4056,SAHID DHARMABHAKTA MA VI TOPGACHHI,22.7,47.3,27.5,29,50.3,35,75,75,0,2,21,1,24,51,32
211,JHAPA,4057,BHANU MA VI LALJHODA,25.3,49.3,31.3,35.1,45.4,35.9,85,85,0,3,27,6,36,49,42.35
212,JHAPA,4058,BHANU MA VI BAHUNDANGI,24.6,41.8,20.9,25.3,41.5,37.6,107,106,0,6,14,3,23,83,21.7
213,JHAPA,4059,BAL KALYAN MA VI KUNJIBARI,19.9,42.6,29.2,29.2,49.9,47.1,26,26,0,0,6,1,7,19,26.92
214,JHAPA,4060,SANGBED SAN MA VI CHARPANE,45,52.6,38.3,56,57.6,37.9,8,8,0,0,7,1,8,0,100
215,JHAPA,4061,CHAMPAPUR MA VI GHAILADUBBA,13.7,36.6,11.1,22.7,41.2,30.9,42,42,0,0,0,0,0,42,0
216,JHAPA,4062,PATHARIYA MA VI PATHARIYA,16.8,45.4,21.5,23.1,53.4,33.8,99,99,0,4,7,0,11,87,11.11
217,JHAPA,4063,SHARADA SHISHU SADAN MA VI DHULABARI,56.2,53.1,54.5,47.2,62.9,48.7,29,29,1,23,5,0,29,0,100
218,JHAPA,4064,GADI GAUN MA VI SHANTINAGAR,18.5,46.3,19.1,28.9,43.1,37.6,102,102,0,1,14,0,15,87,14.71
219,JHAPA,4065,FIVE STAR ENGLISH BOARDING SCHOOL DHULABA,43.9,51.5,50.5,38.6,55.9,44.2,37,37,0,18,19,0,37,0,100
220,JHAPA,4066,MECHI AWASIYA MA VI DAMAK,39.5,53.4,49.3,44.7,57.2,53.1,72,71,1,37,22,0,60,11,84.51
221,JHAPA,4067,BIDUR ENGLISH BOARDING SCHOOL BHADRAPUR,52.8,57.4,62.3,50.5,66,42.8,39,39,5,23,9,0,37,2,94.87
222,JHAPA,4068,EVEREST BOARDING HIGH SCHOOL DAMAK,53.1,57.3,60.8,50.9,68.4,52.8,30,30,1,25,3,0,29,1,96.67
223,JHAPA,4069,GYANODAYA SHIKSHYA NIKETAN MA VI DHULABARI,33.6,54.7,35.3,40.1,55.5,42.1,15,15,0,2,8,0,10,5,66.67
224,JHAPA,4070,BALKALYAN AWASIYA MA VI CHARPANE,55.2,51.5,65.4,50.5,62.2,48.4,29,29,1,22,5,0,28,1,96.55
225,JHAPA,4071,PRAGYAN ACADEMY CHANDRAGADHI,30.9,58.8,45.5,35.9,56.4,40.8,64,64,0,17,32,0,49,15,76.56
226,JHAPA,4072,ARJUNDHARA SAN ADARSHA MA VI ARJUNDHARA,16.8,27,12.7,16.5,40.2,32,25,25,0,0,0,0,0,25,0
227,JHAPA,4073,PASHUPATI BOARDING SCHOOL KAKARVITTA,54.7,55.8,54,51.8,64.1,45.5,15,15,0,12,3,0,15,0,100
228,JHAPA,4074,MOUNT EVEREST MA VI GAURADAHA,63.7,61.5,57.7,46.6,56.8,55.4,39,39,5,25,8,0,38,1,97.44
229,JHAPA,4075,SIDDHARTHA SHISHU SADAN BHADRAPUR,59,55.4,65.8,50.9,67.2,45.4,36,36,1,30,5,0,36,0,100
230,JHAPA,4076,KALISTHAN MA VI SANISCHARE,26.8,37.9,27.7,25.8,49.7,35,66,65,0,3,17,4,24,41,36.92
231,JHAPA,4077,SHAHID DASHARATH MA VI DUWAGADI-4,21.8,38.5,27.2,35.7,47.4,44.7,53,53,0,5,9,1,15,38,28.3
232,JHAPA,4078,LALPANI MA VI SHIVAGANJ-5,24.4,37.3,30.3,28.6,52.8,41.3,67,67,0,2,23,11,36,31,53.73
233,JHAPA,4079,MAHANANDA SHIKSHA SADAN BUDHABARE-9,51,58.3,67.6,46.9,56.4,55.8,52,52,3,36,12,0,51,1,98.08
234,JHAPA,4080,HARIKUL MODEL HIGH SCHOOL SURUNGA-5,56.6,56.4,65.5,47.9,54.8,52.4,48,48,2,40,6,0,48,0,100
235,JHAPA,4081,SURYODAYA ENGLISH SCHOOL DAMAK-11,54.5,54,65,47.6,60.8,58,79,79,6,70,3,0,79,0,100
236,JHAPA,4082,PANINI MA VI DAMAK-15,20.1,38.1,22.3,24,44.1,41.3,63,62,0,5,5,1,11,51,17.74
237,JHAPA,4083,DHRUBA TARA RESIDENTIAL SECONDARY SCHOOL,40.8,48.5,46.1,37.8,49,42.6,48,48,1,14,25,3,43,5,89.58
238,JHAPA,4085,KAMALA MADAN ASRIT SMRITI H. S. SCHOOL TOPA,G    27,55.7,37.4,34.1,47.4,34.7,34,34,0,3,18,2,23,11,67.65
239,JHAPA,4086,CHETANA MA VI SHIVAGANJ,44.5,57.5,61.9,47.7,59,48.3,18,18,1,14,3,0,18,0,100
240,JHAPA,4087,MECHI ENGLISH HIGH SCHOOL BHADRAPUR,56.9,53,45.1,46.4,66.1,43.9,7,7,0,6,1,0,7,0,100
241,JHAPA,4088,NORTH POINT ENGLISH BOARDING SCHOOL KAKAR,46.7,53.1,47.2,42.5,56.8,43.1,70,70,1,28,32,0,61,9,87.14
242,JHAPA,4089,EMERALD ACADEMY PRATISTHAN SCHOOL BHADR,59.7,52.6,58,47.1,61.4,53.7,51,51,1,35,12,0,48,3,94.12
243,JHAPA,4090,SHISHU NIKETAN ENGLISH SCHOOL BHADRAPUR,55.9,53.2,62.9,51.2,64.6,47.7,18,18,1,13,3,0,17,1,94.44
244,JHAPA,4091,GLOBAL EDUCATIONAL ACADEMY DAMAK-11,42.7,46.4,58.1,38.4,55.9,48.4,34,34,0,21,11,0,32,2,94.12
245,JHAPA,4092,PASHUPATI ENGLISH MA VI SURUNGA,57.3,53.6,70.2,49.4,68.4,53.5,65,65,7,49,9,0,65,0,100
246,JHAPA,4093,DIBYA RATNA AWASIYA MA VI GHAILADUBA-5,29,35.3,29.4,28.9,44.4,29.4,25,25,0,0,11,1,12,13,48
247,JHAPA,4094,BHANU MA VI ARJUNDHARA,21.3,42.7,33.6,27.7,53,40.2,44,44,0,3,7,2,12,32,27.27
248,JHAPA,4095,SWASTIKA SHISHU SADAN MA VI SHANISCHARE,43.3,51.8,55,47.5,53.9,42.6,15,15,0,7,7,1,15,0,100
249,JHAPA,4096,LAXMI NARAYAN MA VI DHARAMPUR-8,24.2,49.8,33.8,30.3,48.3,35.2,42,42,0,4,9,2,15,27,35.71
250,JHAPA,4097,BIR AMAR SINGH MA VI CHARPANE,21,35.8,20.2,21.2,38,35.3,65,65,0,1,12,0,13,52,20
251,JHAPA,4098,PURBANCHAL ENGLISH BOARDING SECONDARY SC,39.9,45.5,36.1,34.5,49.5,42.2,22,22,0,3,13,0,16,6,72.73
252,JHAPA,4099,HIMALAYAN ENGLISH ACADEMY BAHUNDANGI,26.4,49,36.2,24,48.9,31.7,21,21,0,3,3,1,7,14,33.33
253,JHAPA,4100,OASIS ACADEMY BHUTANESE REFUGEE CAMP TIM,34.6,43.5,22.7,19.1,40.6,28,189,187,0,0,41,14,55,131,29.41
254,JHAPA,4101,NEW HORIZON ACADEMY BHUTANESE REFUGEE C,32.4,39.4,19.7,20.8,36,31.1,556,556,0,6,82,21,109,446,19.6
255,JHAPA,4102,SUN RISE ACADEMY BHUTANESE REFUGEE CAMP,K 39.1,39.4,20.5,25.5,45.7,35.4,266,266,0,11,63,1,75,191,28.2
256,JHAPA,4103,TRI-RATNA SECONDARY SCHOOL BHUTANESE REF,30.8,40,17.9,25,38.1,39.9,223,220,0,9,43,3,55,165,25
257,JHAPA,4104,PRAGATI SECONDARY ENGLISH BOARDING SCHOO,48.3,53.9,52.5,42.7,54.3,43.6,25,25,1,8,14,0,23,2,92
258,JHAPA,4105,JYOTI ENGLISH BOARDING SCHOOL BUDHABARE,46.8,56,54.9,43.3,50.7,56.3,32,32,0,20,9,0,29,3,90.63
259,JHAPA,4106,SURYODAYA ENGLISH BOARDING SCHOOL KAKARV,49.1,54.5,53.5,41.7,58.5,44.6,24,24,1,10,12,0,23,1,95.83
260,JHAPA,4107,EASTERN STAR ENGLISH BOARDING SCHOOL DAM,45.9,52.2,45.6,42.4,43.1,42.4,52,52,0,19,23,0,42,10,80.77
261,JHAPA,4108,JYAMIR GADHI MA VI JYAMIRGADHI,22.9,46,29.5,40.5,49.8,46.5,24,24,0,1,11,0,12,12,50
262,JHAPA,4109,ARUNODYA AWASIYA SECONDARY SCHOOL KAKAR,22.5,49.9,33.6,26,52.9,33.8,32,32,0,4,12,1,17,15,53.13
263,JHAPA,4110,BISHWA JYOTI SECONDARY BOARDING SCHOOL HA,25.8,39.8,25.2,31.6,45.3,41.2,12,12,0,0,5,1,6,6,50
264,JHAPA,4111,BIRAT JYOTI ENGLISH BOARDING SECONDARY SCH,53.6,53.8,62.6,46.4,52.1,52.9,44,44,3,30,11,0,44,0,100
265,JHAPA,4112,BLOOMING LOTUS ENGLISH SCHOOL BHUTANESE,R 38.9,43.1,25.3,21.6,44.2,35.4,302,301,0,13,70,5,88,212,29.24
266,JHAPA,4113,GYANJYOTI MA VI CHANDRAGADI,33.7,48.6,31,29.3,41.4,41.4,34,34,0,7,7,0,14,20,41.18
267,JHAPA,4114,GOLDEN SUNRISE ENGLISH SCHOOL GAURADAHA,46.5,60.8,53.2,50.1,56.2,55.6,24,24,3,12,8,0,23,1,95.83
268,JHAPA,4115,LALIMA BOARDING SCHOOL TOPGACHHI,45.7,54.6,54.2,36.6,55,41.1,12,12,0,3,9,0,12,0,100
269,JHAPA,4116,DIVYAJYOTI MA VI RAJGADH,41.9,47.7,52.5,36.8,51.6,47.4,28,28,0,11,13,0,24,4,85.71
270,JHAPA,4117,KACHAN KAWAL VIDYA MANDIR MA VI BANIYANI,26.5,45.9,23.5,35.6,45,50.4,29,29,0,4,6,0,10,19,34.48
271,JHAPA,4118,JANATA MA VI BAHUNDANGI,19.2,38.3,17.4,23.9,41.8,33,74,74,0,1,6,0,7,67,9.46
272,JHAPA,4119,LITTLE ANGELS' BOARDING SCHOOL DUHAGADI,56.8,58.2,60.9,54,65.4,58.4,16,16,0,15,1,0,16,0,100
273,JHAPA,4120,EAST HORIZON ENGLISH MA VI MECHI NAGAR,53,60,64.1,44.1,64.8,49.8,52,52,1,46,5,0,52,0,100
274,JHAPA,4121,NAWA KIRAN VIDYA MANDIR SHIVAGANJ,49,55.1,55.2,42.2,50.8,49,24,24,1,11,12,0,24,0,100
275,JHAPA,4122,NAVODAYA MA VIDHYA MANDIR TOPGACHHI,40.3,56.1,64.3,39.7,58.4,43.8,28,28,0,21,7,0,28,0,100
276,JHAPA,4123,GYAN JYOTI ENGLISH MA VI RAJGADH,36.2,50,44.2,34.7,47.3,45.1,75,75,1,22,35,6,64,11,85.33
277,JHAPA,4124,CHANDRA BHANU JYOTI MA VI PRITHVINAGAR,23.1,41.2,22.9,34.2,44.3,43.5,51,51,0,1,13,1,15,36,29.41
278,JHAPA,4125,GYANODAYA AAWASIYA MA VI GAURIGANJ-5,28.8,51.3,47.6,37.2,58,49.3,12,12,0,5,3,0,8,4,66.67
279,JHAPA,4126,DAFFODILS ACADEMY BHADRAPUR-15,30.3,39.7,26.1,26.6,52.3,34.3,32,32,0,2,12,0,14,18,43.75
280,JHAPA,4127,DEVKOTA MA VI KHAJURGACHHI-6,31.7,54.5,54.1,39.3,58,46,21,21,0,7,14,0,21,0,100
281,JHAPA,4128,BALNIKUNJA MA VI SATASHIDHAM,18.1,41.3,34.9,22.6,45.9,40.4,56,56,0,2,11,2,15,41,26.79
282,JHAPA,4129,PRATIVA NAMUNA MA VI KHUDUNABARI,26.4,48.6,32.6,33.5,49.6,41,77,77,1,10,18,0,29,48,37.66
283,JHAPA,4130,MAKALU MA VI MAHARANIJHODA SCHOOLCHOUN,32.5,47.9,41.9,27.8,45.6,39.1,28,28,0,4,15,0,19,9,67.86
284,JHAPA,4131,JANATA MA VI BALUBATHAN KOHABARA,19,40.4,26.3,21.2,37.5,26.3,24,24,0,0,5,0,5,19,20.83
285,JHAPA,4132,BHAGAWATI MA VI SHIVGANJ BANGDANDA,18.9,45,20,33.4,42.5,38.5,76,76,0,0,5,0,5,71,6.58
286,JHAPA,4133,KAVI SHIROMANI MA VI MECHINAGAR,25,50.4,29,33,54.8,42.4,54,54,0,6,10,1,17,37,31.48
287,JHAPA,4134,BHANU SMRITI AWASIYA MA VI BHADRAPUR,26.7,43.9,29.7,29.3,53.2,32.4,30,30,0,1,8,4,13,17,43.33
288,JHAPA,4135,NAMUNA ENGLISH MA VI CHAKCHAKI,34.5,49.5,38.6,33.7,49.6,44.2,21,21,0,5,10,1,16,5,76.19
289,JHAPA,4136,GYAN SAROVAR NIKETAN MA VI PRITHVINAGAR,34.1,50.9,36.1,36.7,51.8,51.1,51,51,0,8,25,5,38,13,74.51
290,JHAPA,4137,GYANKUNJ ACADEMY MA VI GAURIGANJ,56.1,55.4,63.3,44.1,65.6,55.6,18,18,0,16,1,0,17,1,94.44
291,JHAPA,4138,WONDERLAND ENGLISH BOARDING SCHOOL BANIY,24.6,50.2,36.7,31.2,63.3,41.9,19,19,0,5,5,0,10,9,52.63
292,JHAPA,4139,MOTHERLAND ENGLISH BOARDING SCHOOL DAMA,55.6,53.9,78.3,49.2,61.9,56.4,16,16,0,16,0,0,16,0,100
293,JHAPA,4140,CHILDREN GARDEN ENGLISH SCHOOL JALTHAL-4,25.9,50.9,39.1,31.9,53.5,34.4,11,11,0,2,5,0,7,4,63.64
294,JHAPA,4141,PATHIBHARA SHIKSHA SADAN DUWAGADI CHARALI,27.1,38.7,26.9,31.1,44.7,44.8,15,15,0,0,5,0,5,10,33.33
295,JHAPA,4142,KANCHANJUNGA ENGLISH HIGH SCHOOL LAXMIPU,39.7,41,35.8,32.6,58.4,40,9,9,0,1,5,0,6,3,66.67
296,JHAPA,4143,BIBHUTI VIDYA MANDIR ENGLISH SCHOOL CHANDR,56.3,65.8,64.2,54.6,66,49.6,36,36,2,32,2,0,36,0,100
297,JHAPA,4144,BIDHYAPANI MA VI PATHARIYA-9,21.2,51.1,28.6,25.2,59.8,38.5,25,25,0,2,8,0,10,15,40
298,JHAPA,4145,MECHI SHIKSHA NIKETAN MECHINAGAR-12,26.9,40.6,13,25.4,42.6,43.2,10,10,0,0,1,0,1,9,10
299,JHAPA,4146,BHANU MA VI DHARAMPUR,21.7,43.2,29.6,31.3,42.4,31.5,55,55,0,3,14,3,20,34,36.36
300,JHAPA,4147,RUDRA MEMORIAL ENGLISH AWASIYA MA VI ANAR,M 49.4,46.9,46.9,39.4,59.1,46.1,14,14,0,4,8,0,12,2,85.71
301,JHAPA,4148,SWARNIM SHIKSHA SADAN MA VI CHANDRAGADI,24.4,39.7,17.6,26.7,36.5,37.7,33,33,0,2,6,0,8,25,24.24
302,JHAPA,4149,NAMUNA ENGLISH SCHOOL JUROPANI-5 GWALDUB,63.4,71.3,76.4,55.1,71.1,62.9,12,12,2,10,0,0,12,0,100
303,JHAPA,4150,GEOFFREY ENGLISH SCHOOL DHARAMPUR,28.6,45.7,30.9,31,42.3,32,32,32,0,0,17,3,20,12,62.5
304,JHAPA,4151,PASHUPATI SANSKRIT MA VI DAMAK,11.9,31.9,15.8,21.3,34.6,32.8,12,12,0,0,1,0,1,11,8.33
305,JHAPA,4153,MARIGOLD ACADEMY BHUTANESE REFUGEE CAMP,34.7,41.5,21.3,28.7,42.4,41.8,195,195,0,6,51,8,65,130,33.33
306,JHAPA,4154,GREEN VALE ACADEMY BHUTANESE REFUGEE CA,M 39.5,42.1,19.9,26.4,38.6,35.9,400,399,1,17,66,7,91,308,22.81
307,JHAPA,4155,GLORY ENGLISH BOARDING SCHOOL ANARMANI 9,45.6,44.1,31.3,35.3,47.4,43.6,16,16,0,1,7,0,8,8,50
308,JHAPA,4156,DORAMARI MA VI MAHARANI-7,21,43.6,24.2,31.3,40.9,47.9,60,60,0,3,8,1,12,48,20
309,JHAPA,4157,JHILJHILE MA VI SATASIDHAM-5,23.1,46.1,27.4,31.8,43.5,34.9,75,75,0,4,15,2,21,54,28
310,JHAPA,4158,SINGHADEVI MA VI KHUDUNABARI-1,15.5,45.4,26.7,29.9,43.1,38.1,50,50,0,0,7,0,7,43,14
311,JHAPA,4159,MANGALMAYA MA VI LAKHANPUR-1,22.5,40.7,26.3,26.8,40,34.5,38,38,0,2,7,0,9,29,23.68
312,JHAPA,4160,ADARSHA MA VI KOROBARI-5,22.3,37,17.5,25.9,42.5,38.7,26,26,0,0,2,0,2,24,7.69
313,JHAPA,4161,JANAKALYAN MA VI SHARNAMATI-9,24.1,39.9,13.4,29.9,53.8,40.6,28,28,0,0,4,0,4,24,14.29
314,JHAPA,4162,BUD INTERNATIONAL PUBLIC SCHOOL ANARMANI-3,24.3,39,19.2,19.7,40.6,34.8,66,66,0,1,9,1,11,55,16.67
315,JHAPA,4164,PANCHAOTI ENGLISH SCHOOL BHUTANESE REFUG,33.7,47.7,24,33.2,43.5,40.9,192,192,0,21,51,1,73,119,38.02
316,JHAPA,4165,BALMIKI EDUCATION FOUNDATION CHARPANE 1 BI,53.4,59.8,63.8,45.5,62.3,51.9,20,20,2,16,2,0,20,0,100
317,JHAPA,4166,NEWTON'S EDUCATION ACADEMY SCHOOL ANARM,54,58.4,52.7,47.9,69.7,48.3,46,46,2,31,6,0,39,7,84.78
318,JHAPA,4167,OXFORD ENGLISH SECONDARY SCHOOL DAMAK-6,36.4,46.3,42.8,32.6,48.4,45.4,25,25,0,10,5,1,16,9,64
319,JHAPA,4168,NATIONAL MARIGOLD ENGLISH SCHOOL CHANDRA,58.1,54.9,63,45,48.2,45.9,20,20,0,14,6,0,20,0,100
320,JHAPA,4169,EDEN GARDEN EDUCATION FOUNDATION ANARMA,53.1,52.4,48.4,39.1,53.1,50.7,11,11,0,7,4,0,11,0,100
321,JHAPA,4170,TARAPUNJA ENGLISH BOARDING SCHOOL MECHIN,54.8,59.1,41.1,38.9,66.4,48.1,8,8,0,3,2,0,5,3,62.5
322,SANKHUWASAB,5000,PRIVATE SANKHUWASABHA,18.3,34.9,15.4,26.4,33.4,33.7,7,7,0,0,1,0,1,6,14.29
323,SANKHUWASAB,5001,HIMALAYA MA VI KHANDBARI,34,51.7,40.1,34.5,54.6,51.8,110,110,1,22,58,2,83,27,75.45
324,SANKHUWASAB,5002,JANJYOTI MA VI DHUPOO,20.4,43.4,16.9,30.7,47.1,38.5,77,77,0,4,9,1,14,63,18.18
325,SANKHUWASAB,5003,BINOD MA VI MULKHARKA,21.4,44.3,29.6,29.6,43,42.5,25,25,0,1,8,0,9,16,36
326,SANKHUWASAB,5004,MANAKAMANA MA VI TUMLINGTAR,28.5,43.6,29.8,30.1,52,46.5,53,53,0,2,19,0,21,32,39.62
327,SANKHUWASAB,5005,BANIBILAS MA VI LOHAKOT,25.6,46.5,25.4,33.9,45.7,42.5,24,24,0,0,7,0,7,17,29.17
328,SANKHUWASAB,5006,SHARADA MA VI KHARANG,17.3,49.8,18.4,22.3,56.4,42.9,34,34,0,1,3,0,4,30,11.76
329,SANKHUWASAB,5007,VIDYODAYA SAN MA VI MALTA,24.9,46.1,19.4,27.2,41.9,44.9,14,14,0,0,2,1,3,11,21.43
330,SANKHUWASAB,5008,RAMESHWOR MA VI MAMLING,21.4,44.7,20.1,24.1,45.3,40.6,57,57,0,1,13,0,14,42,24.56
331,SANKHUWASAB,5009,SAGARMATHA MA VI TAMKU,21.9,43.1,22.2,29.4,38.1,37.9,14,14,0,0,3,0,3,11,21.43
332,SANKHUWASAB,5010,SHARADA MA VI POKHARI,22.3,36.9,13.9,22.2,43.9,32.6,45,45,0,0,8,0,8,37,17.78
333,SANKHUWASAB,5011,WANA MA VI WANA,18.8,46.3,19.1,25.4,51.8,40.8,51,51,0,2,4,0,6,45,11.76
334,SANKHUWASAB,5012,SARASWATI MA VI CHAINPUR,29.1,43.2,32.5,32.4,57.8,42.1,97,97,0,12,47,2,61,35,62.89
335,SANKHUWASAB,5013,AMARUWA MA VI ANKHIBHUIN,19.2,45.7,28.5,24.4,47.8,36.5,57,57,0,1,5,0,6,51,10.53
336,SANKHUWASAB,5014,MAHENDRA MA VI MANEBHANJYANG,25.7,37.8,17.5,25.2,41.6,40.8,70,70,0,1,4,5,10,60,14.29
337,SANKHUWASAB,5015,TRIWENI MA VI BARAHBISE,26.5,50.8,36.4,40.5,51.6,45.9,19,19,0,3,10,0,13,6,68.42
338,SANKHUWASAB,5016,ARUNODAYA MA VI LINGAM,26.1,33.9,16.5,24.4,35.7,34.3,46,46,0,0,5,4,9,37,19.57
339,SANKHUWASAB,5017,SARASWATI MA VI PAKHRIBAS,21.7,40.9,17.2,28.3,42.6,36.9,22,22,0,0,2,0,2,19,9.09
340,SANKHUWASAB,5018,MADI MA VI MADI,24.5,49.7,31.1,35.5,51,44.7,47,47,0,4,14,1,19,28,40.43
341,SANKHUWASAB,5019,JANATA MA VI CHANDANPUR,24.7,47.9,22.5,27,43.4,44.6,51,51,0,1,11,2,14,37,27.45
342,SANKHUWASAB,5020,CHAMUNDE MA VI TAMAPHOK,19.3,38.9,13.4,21.4,42,38.5,14,14,0,0,0,0,0,14,0
343,SANKHUWASAB,5021,HIMALAYA MA VI HEDANGANA,23.1,38,26.8,31.1,37.3,34.5,20,20,0,0,1,4,5,15,25
344,SANKHUWASAB,5022,SINGHDEVI MA VI TATOPANI,24.5,47.8,26.1,27.6,49.9,37.2,12,12,0,0,1,2,3,9,25
345,SANKHUWASAB,5023,HIMALAYA MA VI AALA,21.8,37.2,14.7,25.3,37.9,45.7,31,31,0,0,2,0,2,29,6.45
346,SANKHUWASAB,5024,JAMBAWATEE MA VI SIBHUWA,27.5,39.8,34.4,29.7,42.8,42.1,16,16,0,0,7,4,11,5,68.75
347,SANKHUWASAB,5025,SHIVA MA VI SYABUN,23.7,51,31.9,29.5,49.9,41.1,12,12,0,0,3,0,3,9,25
348,SANKHUWASAB,5026,BAGISHWARI MA VI DHUNGEDHARA,25.5,41.7,35.7,33.9,42.4,43.1,52,52,0,3,20,0,23,29,44.23
349,SANKHUWASAB,5027,JIVAN JYOTI MA VI MANGTEWA,17.5,35.4,21.4,25.6,35.5,33.8,20,20,0,0,1,0,1,19,5
350,SANKHUWASAB,5028,MAHENDRA JYOTI MA VI AANKHIBHUI PUPANGU,20.4,46.9,26.5,28.5,55,42.6,10,10,0,0,2,0,2,8,20
351,SANKHUWASAB,5029,SINGHESHWARI MA VI CHUNGKHURUNG,24.8,40.8,18.4,24.5,47.2,36.1,24,24,0,1,2,0,3,21,12.5
352,SANKHUWASAB,5030,UMLING MA VI MADI MULKHARKA,22.4,49.7,27.6,27.6,48.4,45.7,14,14,0,0,7,0,7,7,50
353,SANKHUWASAB,5031,KHAPTUWA MA VI WANA 6 LINGLING,24.8,40.6,31.9,32,44,38.6,20,20,0,0,11,0,11,9,55
354,SANKHUWASAB,5032,SARASWATI MA VI MALTA KHANDBARI-7,22.6,39.3,13.4,27.1,39.7,37.1,18,18,0,0,3,0,3,15,16.67
355,SANKHUWASAB,5033,MAHESHWARI MA VI YAPHU,21.7,33.7,25,24.5,30.2,33.3,6,6,0,0,1,0,1,5,16.67
356,SANKHUWASAB,5034,SARASWATI MA VI MAWADIN,25.8,43.6,17.2,26.2,56.2,33.8,5,5,0,0,0,0,0,5,0
357,SANKHUWASAB,5035,SINHESHWORI MA VI NUM,26.3,38.6,24,29.6,37,36,16,16,0,0,5,2,7,9,43.75
358,SANKHUWASAB,5036,BHAGAWATI MA VI MULGAUN,19.5,48.4,23.1,21.8,55.5,38.7,11,11,0,0,2,0,2,9,18.18
359,SANKHUWASAB,5037,SHANTI MA VI TAMAPHOK-3 TELLOK,15.8,34.1,16,14.6,34.5,30.8,28,28,0,0,2,0,2,25,7.14
360,SANKHUWASAB,5038,SURYA BOARDING SCHOOL KHANDBARI,64,62.9,77.7,59.1,64.9,64.6,7,7,2,5,0,0,7,0,100
361,TEHRATHUM,6001,SINGHABAHINI MA VI MYANGLUNG,21.5,44.3,30,29.5,50.1,36,210,210,0,5,54,3,62,147,29.52
362,TEHRATHUM,6002,GAUKHURI MA VI MORAHANG,24.4,41.9,27.6,38.1,39.8,39.9,52,52,0,0,18,2,20,32,38.46
363,TEHRATHUM,6003,NAVIN SHIKCHHYA SADAN MA VI PHAKCHAMARA,20.4,42,36.9,21,46.5,33.6,81,81,0,1,15,3,19,61,23.46
364,TEHRATHUM,6004,SHANKAR MA VI JALJALE,23.4,38.3,20.4,33.4,48.9,36.8,95,95,0,2,11,2,15,80,15.79
365,TEHRATHUM,6005,ESIBU MA VI ESIBU,16.6,44.4,25.6,31.9,38.4,33.9,36,36,0,0,6,0,6,30,16.67
366,TEHRATHUM,6006,BASANTA MA VI BASANTAPUR,33.9,48.9,44.4,32.3,48.1,41.4,74,74,0,7,48,8,63,11,85.14
367,TEHRATHUM,6007,SIDDAKALI MA VI JAUBARI MEHELE,24.1,42.7,24.2,23.5,41.8,34.7,50,50,0,1,7,1,9,41,18
368,TEHRATHUM,6008,SAMDU MA VI SAMDU,17.5,43.8,23.7,31,39,31.9,31,31,0,0,1,0,1,30,3.23
369,TEHRATHUM,6009,JANAPRIYA MA VI PAUTHAK,23.7,35,27.6,37,38.3,35,35,35,0,3,8,1,12,23,34.29
370,TEHRATHUM,6010,TRI-MOHAN MA VI MULPANI,15.6,52.6,31.8,37.8,44.6,33.9,22,22,0,0,1,0,1,21,4.55
371,TEHRATHUM,6011,POKHARI MA VI POKHARI AATHRAI,18.9,49.7,25.9,35,46.2,35.4,50,50,0,1,3,1,5,45,10
372,TEHRATHUM,6012,SHARADA MA VI AATHRAI CHUHANDANDA,16.2,45.3,23,32,43,34.6,65,65,0,0,2,0,2,63,3.08
373,TEHRATHUM,6013,RATNA MA VI SOLMA,32.8,47.6,40.6,31.8,49.7,43.1,59,58,0,0,49,1,50,8,86.21
374,TEHRATHUM,6014,BHAGAWATI MA VI OKHRE CHHATHAR,21.2,39.6,27.9,20.1,43.8,33.3,110,110,0,1,12,8,21,89,19.09
375,TEHRATHUM,6015,KALIKA MA VI JIRIKHIMTI,22.6,42.7,25.8,33,38.3,35.5,120,120,0,6,21,10,37,83,30.83
376,TEHRATHUM,6016,SARASWATI MA VI HWAKU AATHRAI,29.7,44.5,19,31.1,52.4,42.4,50,50,0,1,6,1,8,42,16
377,TEHRATHUM,6017,MAHENDRA MA VI KHAMLALUNG,26.3,37,15.5,17.6,45.4,33.1,44,44,0,0,0,1,1,43,2.27
378,TEHRATHUM,6018,BHAGAWATI MA VI THOKLUNG,20,28.4,14.7,15.1,44.2,30.3,42,42,0,0,1,2,3,39,7.14
379,TEHRATHUM,6019,KRISHNA MA VI DANDAGAUN,24.4,43.8,19.1,26.8,45.1,32.8,56,56,0,1,9,0,10,46,17.86
380,TEHRATHUM,6020,PRANAMI MA VI SIMLE AATHRAI,19.7,39.6,34.6,28.3,45.3,35.7,64,64,0,1,11,5,17,46,26.56
381,TEHRATHUM,6021,RAMSANSKRIT MA VI KHELPUR,22.8,42.3,17.4,28.3,40.9,36.8,43,43,0,0,4,1,5,38,11.63
382,TEHRATHUM,6022,SRIJUNG MA VI SRIJUNG,20.1,37.4,17,21.3,41.2,34.7,43,43,0,0,2,0,2,41,4.65
383,TEHRATHUM,6023,KALIKA MA VI DANGAPA SINGTHAPA,27.6,42.9,41.4,29.6,48,37.2,46,46,0,0,24,1,25,21,54.35
384,TEHRATHUM,6024,SARASWATI MA VI SHUKRABARE,24.3,44.2,29.3,25.3,52.4,39.3,89,89,0,5,26,0,31,57,34.83
385,TEHRATHUM,6025,JANAJYOTI MA VI SIMLE-5,23.6,39.2,24.1,35.5,49.6,35.7,70,70,0,2,16,1,19,51,27.14
386,TEHRATHUM,6026,SARBAJANIK MA VI PHULEK,27.5,45.6,44.9,28.2,49.3,37.2,23,23,0,0,14,2,16,7,69.57
387,TEHRATHUM,6027,MAHAKALI MA VI PULDHUNG,19.8,37.9,17.5,32.4,44.4,30.4,77,77,0,0,7,2,9,68,11.69
388,TEHRATHUM,6028,KRISHNA MA VI SUNGANAM,24.6,43.3,34.1,28,49.1,38.5,42,42,0,0,18,4,22,20,52.38
389,TEHRATHUM,6029,SINGHA DEVI MA VI SUNGANAM,31.6,48.1,37.6,30.3,51.3,41.2,48,48,0,1,35,0,36,12,75
390,TEHRATHUM,6030,BHAGWATI MA VI AMBUNG,19.3,37.1,24.1,30.6,37.6,33.6,46,46,0,0,7,2,9,37,19.57
391,TEHRATHUM,6031,MACHHINDRA MA VI SUDAP,23.2,42.5,24.8,25.6,51.5,41.4,50,50,0,1,8,0,9,41,18
392,TEHRATHUM,6032,DEEP JYOTI ENGLISH BOARDING SCHOOL MYANGL,51.8,51.9,51.6,46.1,59.1,47.4,10,10,0,8,2,0,10,0,100
393,TEHRATHUM,6033,ARANIKO ENGLISH BOARDING SCHOOL MYANGLUN,54.1,58.2,55.4,41,62.7,50,20,20,0,18,2,0,20,0,100
394,DHANKUTA,7000,PRIVATE DHANKUTA,16.5,53,6,24,43,43,2,2,0,0,0,0,0,2,0
395,DHANKUTA,7001,GOKUNDESHWAR MA VI DHANKUTA BAZAR,34.5,53.4,35.1,31.9,52.2,31.6,53,53,0,11,19,0,30,23,56.6
396,DHANKUTA,7002,CHULACHULI MA VI TANKHUWA,12.1,35.3,4.5,10.9,25,19.8,72,72,0,1,1,0,2,70,2.78
397,DHANKUTA,7003,JANATA MA VI JITPUR,16.5,44.1,13.7,27.9,46.3,31.7,53,53,0,1,2,0,3,50,5.66
398,DHANKUTA,7004,BHANU MA VI DANDABAZAR,19.2,47.9,13.2,18.3,36.2,32.8,29,28,0,0,1,0,1,27,3.57
399,DHANKUTA,7005,BHARATI MA VI CHUNGMANG,18.5,34.1,18.3,22.7,42.8,32.1,35,35,0,0,5,0,5,30,14.29
400,DHANKUTA,7006,SHARADA MA VI 6 NO BUDHABARE,13.9,38.1,19,21.6,46.1,42.1,10,10,0,0,0,0,0,10,0
401,DHANKUTA,7007,JALPA DEVI MA VI PAKHRIBAS,15.5,44,16.1,18.8,37.9,30.7,99,99,1,2,3,0,6,93,6.06
402,DHANKUTA,7008,PANCHA KRISHNA MA VI KHOKU CHINTANG,12,27.9,7.2,12.8,31,24,72,72,0,0,0,0,0,72,0
403,DHANKUTA,7009,GOKUNDESHWAR BALMANDIR MA VI DHANKUTA,26.2,50.2,23.5,26.1,43.6,30.9,51,51,0,1,10,2,13,38,25.49
404,DHANKUTA,7010,RAM MA VI MUGA,15.3,39.4,18.1,18.1,35.3,30,55,55,0,2,3,0,5,50,9.09
405,DHANKUTA,7011,KURULE TENUPA SA MA VI GADHIGAUN,14.3,41.2,20.8,24,45.4,38.3,36,36,0,1,2,0,3,33,8.33
406,DHANKUTA,7012,ADARSHA MA VI SAPHAIDHHAP,15.7,35.4,14.8,24,36.1,30.2,29,29,0,0,2,0,2,27,6.9
407,DHANKUTA,7013,RAM NAWAMI MA VI BUDHI MORANG,17.7,41.5,11.4,14.7,34.1,32.5,27,27,0,0,2,0,2,25,7.41
408,DHANKUTA,7014,SARASWATI MA VI CHANUWA,18.4,46.8,26.8,28.4,52.9,38,41,41,0,3,5,0,8,33,19.51
409,DHANKUTA,7015,BUDHUK MA VI MAUNABUDHUK,16.4,40.7,20.5,22.1,48.3,40.6,29,29,0,1,1,0,2,27,6.9
410,DHANKUTA,7016,SRIMAN TANKA MA VI VIRGAUN,23.4,49.6,26.6,24,41.8,29.6,25,25,0,0,8,2,10,15,40
411,DHANKUTA,7017,SARASWATI MA VI SIDHUWA,21.7,43.1,24.5,25.9,45,40.9,85,85,0,11,7,0,18,67,21.18
412,DHANKUTA,7018,ANNAPURNA MA VI TALLO SANNE,14.7,42.9,19,19.1,37.5,31.7,43,43,0,1,4,0,5,38,11.63
413,DHANKUTA,7019,BHASHA MA VI PATALE,18.3,43.5,11.5,18.8,40.8,25.8,62,62,0,2,4,0,6,56,9.68
414,DHANKUTA,7020,JANAKALYAN MA VI MARGA,14.8,36.6,14.6,22.3,43.7,37.8,30,30,0,0,2,0,2,28,6.67
415,DHANKUTA,7021,DHARMODAYA MA VI MAREKA,16.7,51.2,21.2,25.8,53.4,40.5,38,38,0,1,5,0,6,32,15.79
416,DHANKUTA,7022,SINGHA KALI MA VI AHALE,9.3,29.1,3.1,8.4,25.8,22.7,85,82,0,0,0,0,0,82,0
417,DHANKUTA,7023,NAGESHWOR MA VI LEGUWA,15.1,40.4,16.3,23,39.8,28.3,38,38,0,0,4,0,4,34,10.53
418,DHANKUTA,7024,CHHINTANG MA VI SAMBUGAON,14.5,34.1,15.3,21.2,34,29.2,42,41,0,1,2,0,3,38,7.32
419,DHANKUTA,7025,JALKANYA MA VI BENSITOLE KHUWAPHOK-5,16.1,51.3,9.8,22.7,38.1,35.4,15,15,0,0,1,0,1,14,6.67
420,DHANKUTA,7026,ARUNODAYA MA VI SALGHARI LEGUWA,15.1,44.6,26.7,25.3,46.2,29.6,19,19,0,1,4,0,5,14,26.32
421,DHANKUTA,7027,BALSANSAR AWASIYA MA VI,52.2,62.9,61.6,44.8,59.6,45.5,23,23,1,16,6,0,23,0,100
422,DHANKUTA,7028,RAM MA VI MURTIDHUNGA GANESHTAR,15,47.2,20.2,21.7,43.9,37.1,50,50,0,2,3,0,5,45,10
423,DHANKUTA,7029,PUNYA MA VI RAJARANI CHAUBISE,20.1,45.4,26.1,29.4,44.5,34.5,21,21,0,0,7,1,8,13,38.1
424,DHANKUTA,7030,GRAMIN JANATA MA VI NAMJE BHEDETAR,22.7,54.5,21.1,22.5,41.7,34.8,24,24,0,2,2,0,4,20,16.67
425,DHANKUTA,7031,GRAMIN SAMAJIK MA VI GHORLIKHARK,15.1,41.5,16.7,19.9,34.9,31,32,32,0,0,3,0,3,29,9.38
426,DHANKUTA,7032,MA VI PARIKHAPRANG MAREK KATAHARE,15.4,48.5,14.8,21.2,48.4,38.1,33,33,0,0,3,0,3,30,9.09
427,DHANKUTA,7033,NAVIN SIKSHYA SADAN MA VI DANDAGAUN,15.1,46.6,24.3,22.6,48.9,35.3,27,27,0,1,4,0,5,22,18.52
428,DHANKUTA,7034,TRIBENI MA VI CHULIBAN,27.3,50.4,29.7,28.5,48.1,34,23,23,0,1,9,1,11,12,47.83
429,DHANKUTA,7035,TILESHWAR MA VI TELIYA,9.8,31.7,6.6,9.2,23.3,18.7,38,38,0,0,0,0,0,38,0
430,DHANKUTA,7036,HILE MA VI HILE,18.1,34.8,17.8,21.8,42.5,31.5,48,48,0,2,5,1,8,39,16.67
431,DHANKUTA,7037,SINGH DEVI MA VI CHAUKIBHANJYANG,9.7,29.4,11.9,14.3,40.6,29.9,24,23,0,0,0,0,0,23,0
432,DHANKUTA,7038,BHARATI MA VI HATTIKHARKA,12.5,36.4,12.2,16.3,38.9,29,81,81,0,0,2,0,2,79,2.47
433,DHANKUTA,7039,AMAR MA VI PHALATE,13.8,41.8,17,17.5,32.6,29.2,45,45,0,0,1,0,1,44,2.22
434,DHANKUTA,7040,TAPPU DEVI MA VI ANKHISALLA CHAMCHA,11,28.6,6.6,12.5,27.3,24,24,24,0,0,0,0,0,24,0
435,DHANKUTA,7041,THAKUR DEVI MA VI ANKHISALLA,16.3,40.5,15,24,35.3,32.3,34,34,0,0,1,0,1,33,2.94
436,DHANKUTA,7042,DEURALI MA VI BELHARA,15.6,42.9,17.6,23.9,37.3,27.6,16,15,0,0,3,1,4,11,26.67
437,DHANKUTA,7043,SAMYUKTA MA VI TOKROMBA,12.6,31.6,13.1,20,38.7,35.4,25,25,0,0,3,0,3,22,12
438,DHANKUTA,7044,SHEETALA DEVI ENGLISH MA VI PAKHRIBAS,45.1,53.9,40.8,34.3,45.6,46.5,15,15,0,6,2,0,8,7,53.33
439,DHANKUTA,7045,CHANUWA MA VI DAMAR,11.3,38.3,14.3,18.2,38.8,30.1,27,27,0,0,1,0,1,26,3.7
440,DHANKUTA,7046,DAMODAR MA VI TANKHUWA SHIBHUWA,9,28.7,5.9,8.9,19,15.7,11,11,0,0,0,0,0,11,0
441,DHANKUTA,7047,DEEP ENGLISH SECONDARY SCHOOL DHANKUTA 6,40.6,60,22.9,26.4,48.9,37.5,8,8,0,1,1,0,2,6,25
442,DHANKUTA,7048,MOTHERLAND ENG SECONDARY BOARDING SCHO,O 51.5,51.1,45.8,35.3,49.5,51.4,24,24,0,13,8,0,21,3,87.5
443,DHANKUTA,7049,RAM MA VI LEUTITAR PHAKSIB,17.9,51.7,16.4,19.6,39.7,31.4,7,7,0,0,1,0,1,6,14.29
444,DHANKUTA,7050,TULASI MEHAR MEMORIAL ENG BOARDING SCHOO,48.1,59.1,53.1,38.6,53.2,37.2,10,10,0,6,4,0,10,0,100
445,DHANKUTA,7051,TAMOR VALLEY SECONDARY BOARDING SCHOOL D,52.1,66.6,54.1,42.2,55.5,48.3,11,11,0,9,2,0,11,0,100
446,DHANKUTA,7052,BAJRAMAI MA VI BODHE-5,12.4,39,14,23.4,43.4,34.5,24,24,0,0,1,0,1,23,4.17
447,DHANKUTA,7053,SITADEVI MA VI PHAKSIP-6 KHORKHOLE,20.9,56.4,19.2,22.9,49.5,38.9,10,10,0,0,2,0,2,8,20
448,DHANKUTA,7054,GOLKHADI MA VI MAHABHARAT,15.7,46.4,4.9,14.5,36.5,28.1,10,10,0,0,0,0,0,10,0
449,DHANKUTA,7055,NILGIRI (DON BOSCO) SCHOOL HILE,49.8,46.4,40.8,37.2,50.8,50.1,13,13,0,6,3,0,9,4,69.23
450,BHOJPUR,8000,PRIVATE BHOJPUR,14.9,38.8,11.1,24.9,36.9,35.6,40,40,0,0,1,0,1,39,2.5
451,BHOJPUR,8001,ANNAPURNA MA VI DILPA,19.4,38.7,16.9,20.4,41.8,36.6,32,32,0,0,3,0,3,29,9.38
452,BHOJPUR,8002,VIDYODAYA MA VI TAKSAR,26,43,16.6,30.4,48,42.6,107,107,0,3,16,0,19,88,17.76
453,BHOJPUR,8003,ARUNODAYA MA VI CHARAMBI,17,35.3,18.3,20.4,40.8,30.9,37,37,0,0,7,0,7,30,18.92
454,BHOJPUR,8004,VISHWA PREMI MA VI YAKU,15.1,36.1,19.6,21,43.9,31.8,36,36,0,0,1,0,1,35,2.78
455,BHOJPUR,8005,YASHODHARA MA VI TAKSAR,26.8,40.4,19.9,32.4,45.8,38.4,87,86,0,11,2,0,13,73,15.12
456,BHOJPUR,8006,SHARADA MA VI PYAULI BHANJYANG,19.8,38.6,18.8,26.3,45.8,33,71,71,0,1,6,1,8,63,11.27
457,BHOJPUR,8007,SAGARMATHA MA VI GHORETAR,16.4,34.8,14.1,20.3,37.1,34.2,223,222,0,7,9,0,16,206,7.21
458,BHOJPUR,8008,SIDDHESHWAR MA VI DAWA BAZAR,20.6,38.9,25.7,27.1,51.9,41.6,57,57,0,2,21,1,24,33,42.11
459,BHOJPUR,8009,TRIBHUVAN DHARMODAYA MA VI CHHINAMAKHU,14,34.1,16.3,23.3,45.3,33.2,86,86,0,0,1,0,1,85,1.16
460,BHOJPUR,8010,SHARDA MA VI JHYAUN POKHARI,24.9,40.3,31.4,32.2,49.5,44.6,40,40,0,2,23,0,25,15,62.5
461,BHOJPUR,8011,SHADANANDA SAN MA VI DINGLABAZAR,16.3,45.3,15.3,25.5,41.1,38,61,61,0,0,2,0,2,59,3.28
462,BHOJPUR,8012,ARUN MA VI DINGLABAZAR,23.1,49.6,23.3,30,45.1,40.9,63,63,1,7,3,0,11,52,17.46
463,BHOJPUR,8013,BIRENDRA UCHCHA MA VI KULUNG,23.1,49.9,21.6,31.4,46.6,32.2,60,60,0,3,11,2,16,44,26.67
464,BHOJPUR,8014,PANCHA KANYA MA VI CHYANGRE POKHARI,16.9,34.9,8.1,22.4,44.1,33.7,138,138,0,1,4,0,5,133,3.62
465,BHOJPUR,8015,KATUNJE MA VI KATUNJE,12.7,32.6,12.3,12.8,31,27.2,116,116,0,0,3,0,3,113,2.59
466,BHOJPUR,8016,JANODAY MA VI SIKTELKOT,12.5,39.2,12.9,22.3,34.3,35.1,46,46,0,0,6,0,6,40,13.04
467,BHOJPUR,8017,CHANDESWOR MA VI BALANKHA,11,34.8,14.3,21,42.5,35.1,91,91,0,0,5,0,5,86,5.49
468,BHOJPUR,8018,BIDDHESHWOR SAN MA VI GOGANE,15.3,45.6,17.9,27.3,34.4,38.3,28,28,0,0,3,1,4,24,14.29
469,BHOJPUR,8019,SANTA SABITRA MA VI NEPALEDANDA,19.5,44.5,15.1,28,42.2,32,50,49,0,1,5,0,6,43,12.24
470,BHOJPUR,8020,MANEDADA MA VI MANEDADA,28.8,48.4,22.7,26.2,52.3,41.8,35,35,0,3,11,0,14,21,40
471,BHOJPUR,8021,PANCHA KANYA MA VI BHULKE,21.5,48.5,17.2,26.2,38.1,39.7,31,31,0,1,4,0,5,26,16.13
472,BHOJPUR,8022,RADHA KRISHNA MA VI SHYAMSILA,24.5,35.4,16.8,27.9,39.5,32.4,55,55,0,1,3,3,7,48,12.73
473,BHOJPUR,8023,MAHENDRODAYA MA VI JARAYOTAR,19.5,38.4,9.4,26,43.3,36.8,52,52,0,0,2,0,2,50,3.85
474,BHOJPUR,8024,SINGHESHWARI MA VI BASIKHORA,18.3,29.3,9.9,12.4,29.3,28.5,91,90,0,0,2,0,2,88,2.22
475,BHOJPUR,8025,SALEWA MA VI DOBHAN,21.2,42.2,12.8,25.6,44.5,37.7,33,33,0,0,2,0,2,30,6.06
476,BHOJPUR,8026,SANTA MA VI NEPALIDANDA,20.9,37.2,24.3,30.3,47.3,44.9,41,41,0,0,13,0,13,28,31.71
477,BHOJPUR,8027,MAHENDRODAYA MA VI BOYA,27.2,37.7,32,25.4,47.4,36,27,27,0,0,7,6,13,14,48.15
478,BHOJPUR,8028,PANCHAKANYA MA VI BOKHIM,22.9,41.8,25.3,26.2,46.3,38.5,38,38,0,0,9,2,11,27,28.95
479,BHOJPUR,8029,BEHERESHWAR MA VI MANEBHANJYANG,10,28.7,9.7,12,31.5,27.5,81,81,0,0,2,0,2,79,2.47
480,BHOJPUR,8030,SINGH DEVI MA VI LEKHARKA,18.3,36.5,16.4,21.9,40.5,34.6,28,28,0,0,1,0,1,27,3.57
481,BHOJPUR,8031,JALPA MA VI CHAUKIDANDA,21.7,50.9,15.9,32.5,45.6,31,32,32,0,0,1,0,1,31,3.13
482,BHOJPUR,8032,CHAMPE MA VI CHAPME,22.8,36.3,11.6,24.8,40.6,31.9,51,51,0,0,4,0,4,47,7.84
483,BHOJPUR,8033,CHANDRA SURYA MA VI BAIDAR BHANJYANG,19.4,37,16.5,27.1,45.4,37.1,22,22,0,0,3,0,3,19,13.64
484,BHOJPUR,8034,JANASEWA MA VI HASANPUR,23,41,34.3,31.2,47.5,40.8,38,38,0,1,18,2,21,17,55.26
485,BHOJPUR,8035,KALIKA MA VI HELAUNCHHA,20.9,27.8,6.8,21.2,42.6,31.2,17,16,0,0,0,0,0,16,0
486,BHOJPUR,8036,PANCHAKANYA MA VI WASINGTHARPU,21.4,41,22.6,26.5,39.5,35.8,33,33,0,0,7,0,7,26,21.21
487,BHOJPUR,8037,SAVITRA MA VI KUDAK KAULE,28.4,43.9,17.9,32.3,54.5,42.2,22,22,0,1,7,0,8,14,36.36
488,BHOJPUR,8038,SHIKSHA KSHAMAKANYA MA VI BAYANG DEWANTA,16.4,37.3,13.6,24.3,39.7,38.2,69,69,0,0,2,0,2,67,2.9
489,BHOJPUR,8039,JANAJYOTI MA VI PATLEPANI,19.2,37.5,19.3,19,38.1,34,51,51,0,1,6,0,7,44,13.73
490,BHOJPUR,8040,SARASWATI MA VI CHAUDANDI DUMMANA,18.3,35.8,18,20.6,34.5,33.2,42,41,0,0,10,0,10,31,24.39
491,BHOJPUR,8041,MAHENDRODAYA MA VI PHALI MOHARIYA DEURALI,22.5,34,15.8,22.4,42.5,28.4,55,55,0,0,2,2,4,51,7.27
492,BHOJPUR,8042,SARASWATI MA VI SANGPANG BHOJPUR,25.8,31.6,20.8,26.3,42.4,32.6,24,23,0,1,2,1,4,19,17.39
493,BHOJPUR,8044,SAGARMATHA MA VI GATE BHOJPUR,60.2,56.3,77.3,57.3,72.8,61.6,10,10,0,10,0,0,10,0,100
494,BHOJPUR,8045,PASHUPATI MA VI KHAWA BHOJPUR,18.2,33.3,13,22,39.8,32.4,21,20,0,0,0,0,0,20,0
495,BHOJPUR,8046,NAWDURGA MA VI DALGAUN,14.6,38.9,14.8,22.3,30.9,34.2,34,34,0,0,0,0,0,34,0
496,MORANG,9000,PRIVATE MORANG,20.9,35.8,18.4,25.8,42,37.7,393,390,0,9,51,6,66,324,16.92
497,MORANG,9001,JANATA NAMUNA MA VI SANKARPUR BIRATNAGAR,20.4,41.8,27.1,24.5,34.9,33.8,47,47,0,2,8,2,12,35,25.53
498,MORANG,9002,PUBLIC MA VI RANGELI,34.4,51.6,35,34.1,50.6,40.4,73,73,0,6,43,4,53,20,72.6
499,MORANG,9003,PANCHAYAT MA VI GOTHAGAUN,20.2,35.4,18.6,29.6,42,41.1,45,45,0,3,6,0,9,36,20
500,MORANG,9004,AMAR SINGH MA VI HASANDAHA,20.4,40.6,19.4,27.4,44,41.8,95,95,0,6,14,0,20,75,21.05
501,MORANG,9005,DHIRNATH SAMPHUL BISHWAS MA VI BALUWAHI,18.8,39.2,19.3,18.7,34.8,27.8,96,96,0,0,11,1,12,84,12.5
502,MORANG,9006,SIDDHARTHA SHISHU SADAN MA VI BIRATNAGAR,59.8,51.5,70.3,52.1,65.9,52.5,64,64,10,50,3,0,63,1,98.44
503,MORANG,9007,JAYCEE BAL SADAN MA VI BIRATNAGAR,52.3,55.4,61.1,52.4,63.1,45,48,48,2,42,3,0,47,1,97.92
504,MORANG,9008,SABITRI MA VI YANGSHILA,25.3,35,20.1,30.7,42.5,34.5,20,20,0,2,2,0,4,16,20
505,MORANG,9009,SINGHABAHINI MA VI SANISCHARE 9 RIGUWA,20.2,38.5,30.2,32.7,41.3,37.5,77,77,0,3,23,1,27,50,35.06
506,MORANG,9010,JANKALYAN MA VI BAYARBAN AITABARE,28.4,43.8,35.8,39.5,43.9,45.1,37,37,0,5,18,0,23,14,62.16
507,MORANG,9011,ADARSHA BALIKA MA VI BIRATNAGAR,34.8,49.4,33.4,36.3,49.5,46,45,45,0,12,10,1,23,22,51.11
508,MORANG,9012,ADARSHA MA VI BIRATNAGAR,24.5,44.2,28,32.7,50.4,39.2,63,63,0,8,14,0,22,41,34.92
509,MORANG,9013,GOGRAHA MA VI GOGRAHA BIRATNAGAR,26.5,47.8,23.1,25.3,36.2,39.5,60,60,0,4,7,0,11,49,18.33
510,MORANG,9014,PRAGATISHEEL MA VI DAULATPUR,26.7,43.7,32.7,36.5,44.9,44.3,21,21,0,0,13,0,13,8,61.9
511,MORANG,9015,RATNA MA VI DARBESHA RANJANI,21.8,39.4,25.3,22,39.8,35.9,50,50,0,2,14,0,16,34,32
512,MORANG,9016,KALI MA VI KASHIJAN,21.5,39.8,18.4,22.8,41.7,29.2,51,51,0,3,4,2,9,42,17.65
513,MORANG,9017,ST. JOSEPH'S AWASIYA MA VI BIRATNAGAR,61,58.9,74.7,59.8,69.8,56,102,102,25,77,0,0,102,0,100
514,MORANG,9018,PARBATI MA VI PACHHIYARI HARAKAPUR,25.4,39,20.8,24,37.4,37.8,41,41,0,1,5,2,8,33,19.51
515,MORANG,9019,PASHUPATI AWASIYA MA VI URLABARI,57.5,57.8,73.2,59.1,57.8,47.9,76,76,15,61,0,0,76,0,100
516,MORANG,9020,MA VI JHURKIYA,22.3,41.7,20,23.9,39.8,31.8,59,59,0,0,7,6,13,45,22.03
517,MORANG,9021,MAHENDRA MA VI GAHELI BIRATNAGAR MADHUMA,25.8,47.6,43.5,29.1,42.9,38.9,31,31,0,1,16,4,21,10,67.74
518,MORANG,9022,MAHENDRA RATRI MA VI BIRATNAGAR,22.1,29.4,18.8,21.3,35.6,28.5,23,22,0,0,5,1,6,16,27.27
519,MORANG,9023,MILLS MA VI MILLS AREA RANI BIRATNAGAR,25.4,36.3,25,29.5,46.9,41.1,84,84,1,4,18,5,28,56,33.33
520,MORANG,9024,SARASWATI MA VI BIRATNAGAR,33.3,46.1,38.6,36.9,51.1,40.5,96,96,0,16,41,7,64,32,66.67
521,MORANG,9025,BIRENDRA SARBAJANIK MA VI AMARDAHA,21.9,42.8,27.4,27.4,45.3,40.6,71,71,0,3,16,3,22,49,30.99
522,MORANG,9026,ARNIKO BOARDING SCHOOL BIRATNAGAR-13,52,53,60.9,51.7,60.1,50.4,103,103,8,74,17,0,99,4,96.12
523,MORANG,9027,SUNGABHA AWASIYA MA VI URLABARI-4,41.8,52.9,46.7,53.1,45.1,51.6,70,70,0,32,28,1,61,9,87.14
524,MORANG,9028,BIRAT AWASIYA MA VI BIRATNAGAR-13,56.9,54.7,69.7,46.9,56.2,48.7,15,15,0,15,0,0,15,0,100
525,MORANG,9029,MANGAL SINGH MA VI AMARDAHA-5,25.6,37.9,24.2,34.6,48,37.3,38,38,0,2,5,2,9,29,23.68
526,MORANG,9030,JANAPRIYA MA VI KATAHARI,18.9,42.3,20.9,23.9,41.1,29.9,56,55,0,3,9,1,13,42,23.64
527,MORANG,9031,RADHAKRISHNA BHUPALMAN SINGH KARKI MA VI B,21,38.4,21.1,33.8,47.1,38.7,39,39,0,2,5,0,7,32,17.95
528,MORANG,9032,SATYANARAYAN MA VI BIRATNAGAR,29.5,40.2,40,35.1,44.1,38.2,58,58,0,8,25,1,34,24,58.62
529,MORANG,9033,NARAGRAM MA VI TANKISINUWARY,17.8,40.7,21.7,23,33,40.9,104,103,1,4,12,3,20,83,19.42
530,MORANG,9034,SARVODAYA MA VI KADMAHA,23.1,37.4,28.2,19.9,35,29.5,37,37,0,0,7,3,10,27,27.03
531,MORANG,9035,SOUNTHA MA VI SOUNTHA SIJUWA,22.7,38.3,23.6,24.7,41,35.3,101,100,0,3,26,2,31,69,31
532,MORANG,9036,SUKUNA MA VI INDRAPUR SUKUNA,28.7,38.9,25,33.6,45.4,38.8,165,165,0,16,38,4,58,107,35.15
533,MORANG,9037,SUNPAKUWA MA VI MAGALBARE,22.3,37,15,28.8,32.5,32.8,87,87,0,0,8,3,11,76,12.64
534,MORANG,9038,GAUTAM BUDDHA MEMORIAL MA VI RANI BIRATNAG,48.2,52.2,57.8,44.2,62.8,38.5,80,80,0,54,25,0,79,1,98.75
535,MORANG,9039,JANATA MA VI BAHUNI,35.8,44.2,30.1,30,44.1,37.3,16,16,0,0,9,0,9,7,56.25
536,MORANG,9040,JANATA MA VI HARAINCHA,21.5,38,25.1,29.3,45.8,44.3,161,161,0,13,22,2,37,124,22.98
537,MORANG,9041,MANOHAR JANATA MA VI MADHUMALLA,27.2,41.8,36.9,32.8,53.4,44.9,50,50,0,6,23,4,33,17,66
538,MORANG,9042,SHANTI BAGAWATI MA VI LETANG,35.9,44.6,40.6,34.3,47,41.6,70,70,0,4,62,1,67,3,95.71
539,MORANG,9043,SAJILAL MA VI SUNDARPUR DULARI,18.6,40.8,20.8,30.7,41.5,41.4,100,100,0,5,15,0,20,80,20
540,MORANG,9044,SARASWATI MA VI KALYANPUR,11.5,36.5,20.6,23.2,31.9,30.9,37,37,0,0,3,0,3,34,8.11
541,MORANG,9045,GODAWARI BIDHYAMANDIR BOARDING MA VI BELB,52.1,55.7,70.9,49,61.8,59.4,54,54,3,50,0,0,53,1,98.15
542,MORANG,9046,DURGA MA VI LAXMINIYAHAT,18.5,30.5,20,25,34.1,31.7,44,44,0,0,6,2,8,36,18.18
543,MORANG,9047,RADHIKA MA VI URLABARI,18.8,42.3,20.4,23.8,45.3,41.1,145,145,0,3,19,0,22,123,15.17
544,MORANG,9048,JANSEWA MA VI RAMAILO GAUN BAYARNANA,19,36.9,20.5,22.9,41.7,34.4,248,247,2,11,33,1,47,200,19.03
545,MORANG,9049,PUBLIC MA VI DHANIBANIGAUN,13.7,33.2,14.9,20.2,32.4,29.4,159,159,0,2,6,1,9,150,5.66
546,MORANG,9050,MACHHINDRA MA VI KERABARI,22.6,39.6,25,27.9,40.3,44.4,93,93,0,5,20,1,26,67,27.96
547,MORANG,9051,SARASWATI MA VI ITAHARA,27.5,44.9,29.6,34.3,39.4,41.5,116,116,1,5,41,12,59,57,50.86
548,MORANG,9052,BHAGAWATI MA VI BELBARI,18.6,37.8,23.7,26.6,42,37.8,146,145,1,8,23,5,37,108,25.52
549,MORANG,9053,BUDHANILKANTHA MA VI BIRATNAGAR-3,58.3,59.2,75.9,55.9,63.9,53.1,50,50,9,41,0,0,50,0,100
550,MORANG,9054,SIRJANA GYAN KUNJA ENGLISH MA VI CHADANICH,O 49.5,46.2,70.9,56.2,51.1,51.2,39,39,0,31,7,0,38,1,97.44
551,MORANG,9055,GANGA MEMORIAL MA VI BIRATNAGAR-4,54.3,48.2,56,51.6,65.1,56,14,14,2,11,1,0,14,0,100
552,MORANG,9056,MANITARA ENGLISH AWASIYA MA VI BIRATNAGAR-7,50.6,51.8,59.9,40.8,51.5,42.2,13,13,0,7,6,0,13,0,100
553,MORANG,9057,DEVI MA VI TETARIYA,10,30.3,11,14.1,22.8,31.9,100,100,0,1,1,0,2,98,2
554,MORANG,9058,ADARSHA MA VI DAINIYA,25.6,49.4,27.2,27.9,39.8,31,35,35,0,0,12,1,13,22,37.14
555,MORANG,9059,KALI MA VI DANGIHAT,33.3,40.3,28.4,32.1,47.7,38.1,38,38,0,3,9,2,14,24,36.84
556,MORANG,9060,SARASWATI MA VI JHORAHAT,35.7,46.8,31.1,33.2,45.7,36.9,43,43,0,7,13,4,24,19,55.81
557,MORANG,9061,BUDDHA MA VI SHANISHCHARE SAKHUWARA,15.2,34.9,19.9,25.9,39.4,30.7,136,134,0,1,14,0,15,119,11.19
558,MORANG,9062,JYOTI MA VI MAHESHWAR JHONDA SUNDARPUR,16,37.1,17.9,29.1,40.8,38,38,38,0,0,6,0,6,32,15.79
559,MORANG,9063,MA VI HOKLAWARI,23,35.5,29.6,28.2,37,35.1,40,39,0,0,13,4,17,22,43.59
560,MORANG,9064,ARANIKO MA VI DURGAPURI RAJGHAT,28.1,46.1,26.7,28.7,44.7,37.6,77,76,0,5,18,6,29,47,38.16
561,MORANG,9065,MAHENDRA MA VI ITAHARA DEVISTHAN,28.7,42.4,35.4,36.1,48.7,38.3,103,103,0,6,56,11,73,30,70.87
562,MORANG,9066,SARASWATI MA VI DADAR BAIRIYA,20.4,35.3,31,27.3,39.5,33.2,43,43,0,3,5,4,12,31,27.91
563,MORANG,9067,KALIKA MA VI TANDI,23.8,39.1,26.8,31.3,42.5,34.1,62,62,0,1,16,2,19,43,30.65
564,MORANG,9068,BAL MA VI HARAKPUR,16.7,27.7,17.9,24.9,33.6,34.7,72,71,0,2,10,2,14,57,19.72
565,MORANG,9069,DEVKOTA MEMORIAL MA VI BIRATNAGAR,62.6,62.6,58.7,47.6,65.7,52,64,64,7,51,4,0,62,2,96.88
566,MORANG,9070,JANATA MA VI BIRENDRANAGAR PATHARI,30.3,40,30.8,32.1,52.7,38.8,76,75,0,7,25,1,33,42,44
567,MORANG,9071,SUNBARSI MA VI GOVINDAPUR SITANAGAR,21.6,41.4,29.1,30.7,46.6,44.3,29,29,0,1,7,0,8,21,27.59
568,MORANG,9072,JANTE MA VI JANTE,29,49.4,38.2,35.6,42.4,46.6,39,39,0,4,27,2,33,6,84.62
569,MORANG,9073,LAXMI MA VI LAXMIMARGA,27.9,40.9,27,38.5,40.1,37.7,42,42,0,1,18,2,21,21,50
570,MORANG,9074,GAYATRI SAN MA VI BIRATNAGAR,28.2,35.4,37.9,31.5,46.7,53.6,19,19,0,1,12,0,13,6,68.42
571,MORANG,9075,NAMUNA VIDYA MANDIR AWASIYA MA VI BIRATNAG,54.6,56.9,75.3,54.4,59.9,45.2,32,32,2,29,1,0,32,0,100
572,MORANG,9076,PANCHAYAT UCHCHA MA VI PATHARI-1,24.4,35.5,17.7,24.9,35.3,28.4,148,148,0,5,17,5,27,121,18.24
573,MORANG,9077,BAL KALYAN VIDHYA MANDIR MA VI BIRATNAGAR,65.4,64.9,75.7,51.7,68.2,65.2,86,86,26,60,0,0,86,0,100
574,MORANG,9078,JANA BIKASH MA VI RANI BIRATNAGAR,21.1,27.6,12.2,15.9,25,20.5,62,61,0,0,1,1,2,59,3.28
575,MORANG,9079,KANCHANJUNGA AWASIYA MA VI BHANUPATH BIRA,52.8,53.5,56.8,48,59.3,47.3,6,6,0,3,3,0,6,0,100
576,MORANG,9080,POKHARIYA MA VI POKHARIYA,29.4,43.8,30,28.3,44.1,38.6,113,112,0,15,24,8,47,65,41.96
577,MORANG,9081,SIJUWA MA VI SIJUWA,18.6,40.3,18.7,32.3,46.1,29.2,56,56,0,1,11,1,13,43,23.21
578,MORANG,9082,JANATA MA VI THALAHA,22.3,33.8,28.8,17.4,31.1,28.6,40,40,0,1,5,3,9,31,22.5
579,MORANG,9083,AZALEA SECONDARY BOARDING SCHOOL BIRATNA,59.3,53.6,75.3,53.4,60.6,54,40,40,4,33,2,0,39,1,97.5
580,MORANG,9084,SARASWATI MA VI SHISHAWANI,14.6,32.2,17.9,22.3,33.1,32.5,49,49,0,0,1,1,2,47,4.08
581,MORANG,9085,MORANG MODEL RESIDENTIAL SCHOOL URLABARI-,57.3,55.6,70.3,52.7,57.4,44.9,56,56,1,49,6,0,56,0,100
582,MORANG,9086,KASENI MA VI BUDHABARE,23.7,35.5,25.9,24.2,47.3,35.9,42,42,0,3,8,1,12,30,28.57
583,MORANG,9087,LAXMI MA VI BHALUWA KERABARI,29.5,47.2,35.4,30.3,38.9,42.3,53,53,0,3,30,5,38,15,71.7
584,MORANG,9088,BALMIKI ENGLISH MA VI BIRATNAGAR,47.7,50,58.3,51.2,52.2,48.8,47,47,2,31,9,0,42,5,89.36
585,MORANG,9089,SHIVASHAKTI MA VI SORABHAGA,19.6,41.4,16.9,23.1,38,30,40,40,0,0,5,0,5,35,12.5
586,MORANG,9090,TRIBHUVAN MA VI GOHIGADA,25.2,36.1,30.8,29.8,46.8,36.2,35,35,0,1,16,4,21,14,60
587,MORANG,9091,MA VI MIRGAULIYA,23.1,34.9,23.3,32.8,51.2,47.4,55,55,0,2,10,2,14,41,25.45
588,MORANG,9092,SARWAJANIK MA VI KERABARI-6,16.3,34.5,18.7,23.7,42.4,36.2,52,51,0,0,5,1,6,45,11.76
589,MORANG,9093,BHAGIRATHA MA VI SHANISHCHARE,16.8,38.6,20.5,25.5,46.6,37.9,71,71,0,2,11,0,13,58,18.31
590,MORANG,9094,GURUKUL MA VI BIRATNAGAR-18,28.2,41.3,31.9,30.1,45.2,38.6,30,30,0,4,9,1,14,16,46.67
591,MORANG,9095,BHANU MEMORIAL ENGLISH BOARDING SCHOOL BI,53.4,54,57,46,58.9,51.7,35,35,0,27,8,0,35,0,100
592,MORANG,9097,SHIKSHYA VIKASH MA VI DALELEE KERAUN,20.6,36.8,21.4,26,41.9,35.5,15,14,0,1,4,0,5,9,35.71
593,MORANG,9098,BHRIKUTI KANYA MA VI URLABARI,38.2,47.8,36.7,31.7,42.5,26.1,36,36,0,4,18,2,24,12,66.67
594,MORANG,9099,JANAPATH MA VI BIRATNAGAR,19.2,34.9,32.4,18.8,39.2,34.2,52,52,0,0,10,2,12,40,23.08
595,MORANG,9100,MAHALAXMI MA VI DARBESHA,23.8,46.1,31.8,28.5,43.5,38.7,18,18,0,2,5,1,8,10,44.44
596,MORANG,9101,STAR BOARDING SCHOOL BIRATNAGAR,48.8,54.4,49.4,38.9,56.5,51.3,33,33,0,15,14,0,29,4,87.88
597,MORANG,9102,KALYANKARI MA VI SINGHDEVI SOMBARE,17.3,28.1,4.3,13.2,40.7,24.8,13,13,0,0,0,0,0,13,0
598,MORANG,9103,SAGARMATHA SECONDARY BOARDING SCHOOL BI,64.3,59.7,79.2,62.4,76,58.9,106,106,55,51,0,0,106,0,100
599,MORANG,9104,BANI MA VI SIDHARAHA,14,31.1,9.3,21.8,36.8,33.5,51,51,0,1,1,0,2,49,3.92
600,MORANG,9105,SHIKSHA VIKAS MA VI LETANG KHERUWA,29.3,50.5,50.5,34.1,39.5,44.8,52,52,0,9,25,7,41,11,78.85
601,MORANG,9106,KOSHI VIDYA MANDIR BIRATNAGAR,59.3,53.5,63.5,56.1,66.9,52.6,35,35,2,30,2,0,34,1,97.14
602,MORANG,9107,BHAGAWATI MA VI MADHUMALLA,22.7,36.2,22.5,26.9,42.9,33.1,74,72,0,2,16,4,22,50,30.56
603,MORANG,9108,MAHENDRA MA VI WARANGI,18.3,41.2,36.8,25.3,30.2,36.1,13,13,0,0,2,1,3,10,23.08
604,MORANG,9109,VINAYAK BOARDING SECONDARY SCHOOL MILLSA,55.8,51.5,57.3,45.2,54.9,44.7,38,38,0,21,15,0,36,2,94.74
605,MORANG,9110,SHIKSHADEEP SECONDARY BOARDING SCHOOL BI,44,53.4,46.7,53.9,60.2,56.8,28,28,0,20,5,0,25,3,89.29
606,MORANG,9111,THE RISING ENGLISH BOARDING SCHOOL INDRAPU,54.6,47.4,59.3,57.7,52.9,51.9,27,27,1,19,7,0,27,0,100
607,MORANG,9112,MA VI LETI GOVINDPUR,15.2,40,16,21.9,40,31.4,50,50,0,2,6,0,8,42,16
608,MORANG,9113,GURANS ENGLISH BOARDING SCHOOL LETANG 6,48.3,44.8,58.5,38.9,50,43.1,18,18,0,8,10,0,18,0,100
609,MORANG,9114,EVEREST ENGLISH BOARDING SCHOOL PATHARI 1,50.4,53,68.8,51.2,65.1,47.2,29,29,0,26,3,0,29,0,100
610,MORANG,9115,EDEN NATIONAL BOARDING SCHOOL BIRATNAGAR,54.3,47.7,58.1,51.5,64.1,51.6,35,32,1,30,1,0,32,0,100
611,MORANG,9116,LETANG SECONDARY BOARDING SCHOOL LETANG,44.8,54,67.6,48.5,46.5,48.4,32,32,0,23,9,0,32,0,100
612,MORANG,9117,DON BOSCO SCHOOL (NILGIRI) BIRATNAGAR,52.8,54.7,61.4,51.1,58.7,52.3,73,73,3,57,12,0,72,1,98.63
613,MORANG,9118,MAHENDRA MA VI MOTIPUR,15.6,27.2,12.1,16.6,34.6,20,35,35,0,0,1,0,1,34,2.86
614,MORANG,9119,NEW PAGODA ENGLISH SCHOOL PATHARI 1,54,52.7,64.1,57.2,59,54,46,46,3,41,2,0,46,0,100
615,MORANG,9120,BHANU MEMORIAL ACADEMY RANGELI,54.5,56.4,72.1,52.1,55.2,50,33,33,1,31,1,0,33,0,100
616,MORANG,9121,GALAXY PUBLIC HIGH SCHOOL BIRATNAGAR,53.6,52.6,78.6,49.6,70.6,50,9,9,0,9,0,0,9,0,100
617,MORANG,9122,DEVKOTA PUBLIC SECONDARY ENGLISH BOARDIN,G    50,46.4,62.3,58.8,58.3,60.8,24,24,0,22,1,0,23,1,95.83
618,MORANG,9123,VIDYAJYOTI BOARDING SCHOOL URLABARI MANGA,47,51.2,54.1,35.5,47.7,39.2,26,26,0,10,14,1,25,1,96.15
619,MORANG,9124,EVEREST ENGLISH BOARDING SCHOOL BIRATNAG,A 56.6,49.7,75.1,63.5,65.9,53.5,38,38,5,33,0,0,38,0,100
620,MORANG,9125,JANTA MA VI GANDHI ASHRAM AMARDAH,22.7,38.5,27.4,22,35.9,34.9,22,21,0,0,6,1,7,14,33.33
621,MORANG,9126,DED RAJ SEWALI DEVI TODI D A V KEDIA VISHAWAB,56.1,53.8,46.2,45.4,54.7,51.2,15,15,0,12,1,0,13,2,86.67
622,MORANG,9127,SHREE RAM MEMORIAL ENGLISH SCHOOL BIRATNA,46.1,43.4,69.4,43.1,55.2,41.1,56,56,0,39,17,0,56,0,100
623,MORANG,9128,JANATA MA VI BAHUWAN AMAGACHHI,22.4,39.4,27,20.8,33.8,34.2,20,20,0,1,3,0,4,16,20
624,MORANG,9129,SAPTAKOSHI ENGLISH BOARDING HIGH SCHOOL U,62,60.5,75.3,55.7,60.5,54,24,24,1,23,0,0,24,0,100
625,MORANG,9130,BALMIKI MEMORIAL BOARDING SCHOOL PATHARI,55.2,54.7,67,49.4,64.5,58.1,32,32,1,30,1,0,32,0,100
626,MORANG,9131,ANNAPURNA SECONDARY ENGLISH BOARDING SC,H 53.7,52.2,64.5,60.3,63.8,54.6,53,53,4,46,3,0,53,0,100
627,MORANG,9132,JANTA MA VI AAMGACHHI,24.9,36.4,34.8,25.1,35.9,37.1,10,10,0,0,2,4,6,4,60
628,MORANG,9133,PRAJATANTRA MA VI BHAUDAHA,23.6,39,29.2,26.2,32.6,31.1,11,11,0,1,1,1,3,8,27.27
629,MORANG,9134,DHANPAL MA VI KASENI,16.4,38.1,16.1,20.2,37.2,34.2,78,78,0,2,4,0,6,72,7.69
630,MORANG,9135,BIRAT VICTORIA MEMORIAL SCHOOL BIRATNAGAR,60.2,56.9,58.1,48.6,60,51.7,9,9,0,8,0,0,8,1,88.89
631,MORANG,9136,PRATIBHA BOARDING SCHOOL RAJGHAT,30.6,49.7,47.8,34.7,56.9,42.9,22,22,0,5,17,0,22,0,100
632,MORANG,9137,MT MAKALU RESIDENTIAL SECONDARY SCHOOL DU,55.1,51.8,72.2,46,63.3,59.6,24,24,1,20,3,0,24,0,100
633,MORANG,9138,BHANU MEMORIAL ENGLISH SCHOOL BELBARI,41.9,40.7,42.2,38,51.8,46.3,12,12,0,0,11,0,11,1,91.67
634,MORANG,9139,SUMAN BIWEK JIWAN MUNA RANJITA MEMORIAL EN,50.9,58.7,58.4,55.3,62.5,51.6,35,35,1,30,3,0,34,1,97.14
635,MORANG,9140,SUNSHINE ENGLISH SECONDARY BOARDING SCHO,41.6,49.1,61.3,53,58.2,56.2,9,9,0,9,0,0,9,0,100
636,MORANG,9141,BAL BATIKA ENGLISH BOARDING SCHOOL BIRATNA,58.7,58.6,70.9,53,54.7,48.1,7,7,0,7,0,0,7,0,100
637,MORANG,9142,SAGARMATHA ENGLISH SCHOOL BELBAREE,36.4,44.5,36.5,37.2,52.9,48,43,43,0,6,24,0,30,13,69.77
638,MORANG,9143,GALAXY ACADEMY LETANG,27.1,48.1,50.3,35.9,41,45.1,21,21,0,1,14,0,15,6,71.43
639,MORANG,9144,BIRAT CO-OPERATIVE ENGLISH BOARDING SCHOO,52.9,55.6,57.6,49.4,45.6,55.1,17,17,1,11,5,0,17,0,100
640,MORANG,9145,SARASWATI MA VI SIJUWA-5 KADUPADA,26.8,45.7,28.4,30.2,47.4,34.3,29,29,0,0,11,2,13,16,44.83
641,MORANG,9146,ORCHID PUBLIC SCHOOL BIRATNAGAR-13,54.8,56.8,63.1,62.1,66.2,64.4,11,11,0,11,0,0,11,0,100
642,MORANG,9147,INDRAPUR NAMUNA MA VI INDRAPUR-4,35.8,46.6,43.8,43.7,44.3,48.5,25,24,0,6,16,0,22,2,91.67
643,MORANG,9148,JANAKI ENGLISH BOARDING SCHOOL JANAPATH BI,60.7,53.6,67,51.8,49.2,51.4,12,12,1,10,1,0,12,0,100
644,MORANG,9149,BRIGHT FUTURE ENGLISH SCHOOL SALAKPURBAZA,54.6,60.9,61.8,54.5,64.5,54.5,20,20,1,19,0,0,20,0,100
645,MORANG,9150,SARASWOTI VIDYA MANDIR BOARDING SCHOOL SU,49.2,49.1,58.3,32.4,61.7,57.1,14,14,0,12,1,0,13,1,92.86
646,MORANG,9151,SHREE MA VI JANTE-9,32.8,41.8,33.3,31.3,47.9,39.8,36,36,0,3,14,1,18,18,50
647,MORANG,9152,JANAPRIYA MA VI BABIYA BIRTA-5,13.4,33.9,14.3,22.2,43.9,39.2,39,39,0,0,1,0,1,38,2.56
648,MORANG,9154,JUPITER ENGLISH SECONDARY SCHOOL DULARI-5,47.4,58.8,69.2,48.7,58.3,59.4,40,40,0,37,3,0,40,0,100
649,MORANG,9155,MINERVA JUNIOR ENGLISH SCHOOL LETANG-2,56.9,53.4,53.4,42,50.8,44.4,16,16,0,10,6,0,16,0,100
650,MORANG,9156,A1 QUALITY SCHOOL BIRATNAGAR-4,60.6,58.1,77.3,62.9,69,58.3,8,8,3,5,0,0,8,0,100
651,MORANG,9157,SHISHU SHIKSHA SADAN ENGLISH SCHOOL RAJGH,61.5,62.8,83.4,55.4,70.9,58.3,8,8,2,6,0,0,8,0,100
652,MORANG,9159,LAXMI MA VI DANGRAHA,10.7,37,14.9,17.4,28.3,32.4,43,43,0,0,3,0,3,40,6.98
653,MORANG,9160,SHIKSHA NIKETAN MA VI MRIGOULIYA,17.1,35.6,16.5,25.6,42,38.5,43,43,0,3,2,0,5,38,11.63
654,MORANG,9161,KARMAVEER MA VI HATIMUDA,14.3,38.5,26.9,21.1,37.1,35.3,27,27,0,0,2,0,2,25,7.41
655,MORANG,9162,SHIKSHA SADAN MA VI BAYARBAN HARAKPUR,23.1,41.9,30.8,31.1,55,39.4,20,20,0,3,7,0,10,10,50
656,MORANG,9163,RASTRANIRMAN MA VI ITAHARA,43.8,49.7,52.7,40,49,42,26,26,0,9,17,0,26,0,100
657,MORANG,9164,PARAGON ACADEMY PUSPALAL CHOWK BIRATNAG,66,60.8,75.3,50.3,62.5,53.7,6,6,1,5,0,0,6,0,100
658,MORANG,9165,GEMS INTERNATIONAL SECONDARY BOARDING SC,56.8,62.5,75.8,52,60.6,50.1,14,14,1,13,0,0,14,0,100
659,MORANG,9166,LETANG GREEN VALLEY ACADEMY LETANG,60.4,57.1,61,45.9,57.1,49.3,7,7,0,5,2,0,7,0,100
660,MORANG,9167,MOTHER TERESA MEMORIAL ENGLISH BOARDING S,54.7,54.1,69.7,45.6,56.7,50.9,7,7,0,5,2,0,7,0,100
661,MORANG,9168,GYANODAYA VIDYA NIKETAN MA VI HAMILI TOL,60,55.4,87.6,63.2,75,64.6,5,5,3,2,0,0,5,0,100
662,MORANG,9169,SIDDHARTHA ENGLISH BOARDING SCHOOL INDRAP,50.4,52.4,65.3,60.9,52,55.6,7,7,0,6,1,0,7,0,100
663,MORANG,9170,HIMALAYA BALSANSAR ENGLISH BOARDING SCHO,O    59,55.8,60,52.8,58.4,56.1,8,8,0,8,0,0,8,0,100
664,SUNSARI,10000,PRIVATE SUNSARI,22,41.3,21.8,26.6,37.7,33.4,36,36,0,0,4,2,6,30,16.67
665,SUNSARI,10001,BHAGBATI MA VI INARUWA,13.4,39,21.5,22.9,30.8,37.3,199,199,0,3,10,3,16,183,8.04
666,SUNSARI,10002,HARINAGARA MA VI HARINAGARA,21.8,32.8,21.2,22.3,45.9,28.3,84,84,0,1,14,7,22,62,26.19
667,SUNSARI,10003,JANATA MA VI MADHESHA,32.2,53.2,42.2,41.3,55.7,44,58,58,0,16,27,0,43,15,74.14
668,SUNSARI,10004,SHARADA MA VI BALAHA,22,44.9,23.7,31.9,39.6,35.4,120,120,0,5,25,4,34,86,28.33
669,SUNSARI,10005,PRAKASH MA VI PRAKASHPUR,15.2,37.1,19.1,23.2,43.2,30.9,194,194,0,6,25,5,36,158,18.56
670,SUNSARI,10006,MAHENDRA MA VI MAHENDRANAGAR,17.6,46.6,20.2,23.6,41.6,36.1,194,193,0,7,24,4,35,158,18.13
671,SUNSARI,10007,BALKRISHNA MA VI RAMNAGAR BHUTAHA,17.6,41.2,22.8,31,35.6,42.7,60,60,0,1,13,1,15,45,25
672,SUNSARI,10008,BHADGAUN SINUWARI MA VI JHUMKA SINUWARI,18.9,35.2,16,24.8,35.3,29.5,177,176,0,4,24,3,31,143,17.61
673,SUNSARI,10009,PAKALI MA VI PAKALI,17.9,37.9,18,25.7,49.6,32.5,96,95,0,3,9,2,14,81,14.74
674,SUNSARI,10010,JANASAHAYOG MA VI HANSPOSA,25.9,49.6,31,28.2,47.5,37.7,85,84,0,6,25,6,37,46,44.05
675,SUNSARI,10011,CHANDRA SAN MA VI DHARAN,25.2,38.4,21.5,24.8,43.6,37.2,22,22,0,0,2,3,5,17,22.73
676,SUNSARI,10012,SHARADA BALIKA MA VI DHARAN,35.2,53.3,35.9,35.3,53.3,44.3,100,100,0,19,55,0,74,26,74
677,SUNSARI,10013,PUBLIC HIGH SCHOOL DHARAN 12,27.7,52.7,35.9,28.7,51.3,42.3,152,151,0,24,57,1,82,69,54.3
678,SUNSARI,10014,VIJAYAPUR HIGHER SECONDARY SCHOOL DHARAN,57.7,58,66.2,55,72.3,54.5,82,82,16,66,0,0,82,0,100
679,SUNSARI,10015,PINDESHWAR SANSKRIT MA VI DHARAN,25.5,41.3,29.8,30.2,51.3,44.7,6,6,0,0,2,0,2,4,33.33
680,SUNSARI,10016,SARASWATI MA VI BABIYA,23.4,43.5,27,32.7,38.6,38.6,65,65,0,6,13,1,20,45,30.77
681,SUNSARI,10017,NEPAL RASTRIYA MA VI AMAHI BELHA,20.2,41.6,17.2,22.9,42.7,41.2,37,37,0,1,5,0,6,31,16.22
682,SUNSARI,10018,JANATA MA VI SINGIYA,22.3,41.4,24.8,29.5,52.1,36.1,111,111,0,5,26,1,32,79,28.83
683,SUNSARI,10019,JANTA MA VI NARASINGA,20.7,41.3,19.9,27.9,35.4,31.1,70,70,0,4,8,2,14,56,20
684,SUNSARI,10020,SHREE SHIKSHA SADAN MA VI DHARAN 15,25.9,50.1,29.3,34.6,49.1,46.7,138,138,1,24,29,1,55,83,39.86
685,SUNSARI,10021,BOARDING MA VI DHARAN,47.3,53.9,37.3,33.2,50.2,50.9,26,26,0,9,15,0,24,2,92.31
686,SUNSARI,10022,PUBLIC MA VI PHUSRE DHARAN,22.3,44.2,22,25.9,48.7,35.6,74,74,0,1,10,5,16,58,21.62
687,SUNSARI,10023,ADARSHA MA VI BARAHACHHETRA CHATARA,16.5,35.1,17.9,24.2,46.4,39.8,162,162,0,4,18,2,24,138,14.81
688,SUNSARI,10024,SHAHID SMRITI MA VI GANGALAL MARG DHARAN,25.6,43.3,30,28.6,43.8,38.5,84,84,0,6,21,5,32,52,38.1
689,SUNSARI,10025,BOARDING MA VI ITAHARI,56.6,52.5,67.7,43.4,73.8,51.3,60,60,2,51,6,0,59,1,98.33
690,SUNSARI,10026,SHIKSHA NIKETAN MA VI DHARAN-6,33.6,48.5,32.3,33.4,47.4,42,100,99,0,15,38,2,55,44,55.56
691,SUNSARI,10027,DEPOT MA VI GHOPACAMP DHARAN,56.9,58.3,54,52.2,62.1,52.9,52,52,0,50,1,0,51,0,98.08
692,SUNSARI,10028,JAGANNATH DED RAJ JANATA MA VI KALABANJAR,12.6,41.4,20.8,23.6,41.7,29.5,184,184,0,3,13,3,19,165,10.33
693,SUNSARI,10029,JANATA MA VI MADHUVAN,20.9,36.2,34.9,29.9,42.6,35.6,101,101,0,13,15,2,30,71,29.7
694,SUNSARI,10031,JANATA MA VI ITAHARI,23.1,50.2,38.1,30.5,43,45.8,75,75,0,7,27,0,34,41,45.33
695,SUNSARI,10032,SHARADA MA VI KHANAR,24.2,50.8,38.8,32.4,53.7,40,43,43,0,7,15,0,22,21,51.16
696,SUNSARI,10033,BISHNU MA VI SONAPUR,16.3,38.6,19.2,20.8,39.9,30.7,43,43,0,0,2,0,2,41,4.65
697,SUNSARI,10034,SARASWATI MA VI DUHABI,25.1,43.8,28.7,29.9,41.5,40.2,122,122,0,8,28,4,40,82,32.79
698,SUNSARI,10035,RAMSITA MA VI BHIMNAGAR,15.8,44.2,19.4,25.1,47.2,40.4,146,146,0,5,12,1,18,128,12.33
699,SUNSARI,10036,SARASWATI MA VI AURAWANI,23.5,44.5,25.5,30,44,33.5,59,59,0,1,19,2,22,37,37.29
700,SUNSARI,10037,ADARSHA MA VI BAKLAURI BAZAR,19.3,42.2,20.9,24.2,50.5,36.3,96,96,0,3,14,1,18,78,18.75
701,SUNSARI,10038,JANATA MA VI HATTIMUDHA,13.5,37.9,12.5,18.3,28.6,32.8,26,26,0,0,3,0,3,23,11.54
702,SUNSARI,10039,GYANODAYA MA VI DHARAN,24.6,40.2,26.7,28.9,40.5,34.9,100,100,0,3,22,7,32,68,32
703,SUNSARI,10040,SARASWATI MA VI PANBARI,17.9,45.4,31.1,34.6,54.1,40.8,49,49,0,2,8,0,10,39,20.41
704,SUNSARI,10041,MAJADUR KISAN MA VI MADHELI,25.4,46.4,29.5,30.9,48,38,12,12,0,1,5,0,6,6,50
705,SUNSARI,10042,AMAR SINGH MA VI SAHEBGUNJ,18.1,44.1,26.6,32.2,40.1,51,14,14,0,0,4,0,4,10,28.57
706,SUNSARI,10043,PEACE ZONE AWASIYA MA VI ITAHARI,50.6,57.7,53.3,49.1,61.4,47,104,104,4,66,22,0,92,12,88.46
707,SUNSARI,10044,GOPAL MA VI TANMUNA,14.5,32.3,11.7,17.7,32.7,27.8,129,126,0,2,4,1,7,119,5.56
708,SUNSARI,10045,SARASWATI MA VI BAUKAJHODA,19.2,37.6,18.7,22.6,39.1,33.5,49,49,0,0,4,0,4,45,8.16
709,SUNSARI,10046,JANAK MA VI MAHENDRANAGAR 9 SALBANI,22.3,31.9,19.7,27,41.4,33.4,69,68,0,0,13,5,18,50,26.47
710,SUNSARI,10047,SUMMIT SECONDARY BOARDING SCHOOL DHARAN,53.8,54,52.7,48.4,65.9,48.9,63,63,7,49,7,0,63,0,100
711,SUNSARI,10048,MA VI CHHITAHA,16.6,40,17.3,22.7,44.9,31.2,86,86,0,0,13,0,13,73,15.12
712,SUNSARI,10049,LABORATORY MA VI DHARAN,25.7,47.5,23.1,28.6,50.7,33.8,100,100,0,4,26,4,34,66,34
713,SUNSARI,10050,CHANDRAKAMAL MA VI MARCHAIYA DUMRAHA,15.3,39.2,21.9,27.4,40,28.8,52,52,0,1,6,0,7,45,13.46
714,SUNSARI,10051,SHARADA MA VI RAMPUR DHOK BHOKRAHA,25.4,37.6,28.8,34,48.8,41.6,24,24,0,0,11,0,11,13,45.83
715,SUNSARI,10052,KRISHNA MA VI SHANKARPUR,14.3,38.3,21.1,27.4,33.4,42.1,106,106,0,4,19,0,23,83,21.7
716,SUNSARI,10053,BHALDHUNGA MA VI BISHNUPADUKA,21.8,43.6,25.6,21.1,51.4,35.9,17,17,0,0,4,0,4,13,23.53
717,SUNSARI,10054,TRIBHUWAN MA VI ARTA BAKULAWA DUMRAHA-2,26.3,46.6,26.3,28.6,39.2,35.1,58,58,0,2,18,3,23,35,39.66
718,SUNSARI,10055,KOSI MA VI WEST KUSHAHA,15.9,34.4,17.5,19,45.8,30.4,62,62,0,2,7,1,10,52,16.13
719,SUNSARI,10056,GODAWARI VIDYA MANDIR AWASIYA MA VI ITAHARI,33,53.2,44.4,33.2,51.8,47.2,58,58,1,21,12,0,34,24,58.62
720,SUNSARI,10057,PATHIBHARA ENGLISH BOARDING SCHOOL ITHARI,48.8,61.8,58.4,43.6,61,48.9,80,80,7,55,13,0,75,5,93.75
721,SUNSARI,10058,BUDHA SUBBA ENGLISH MA VI DHARAN,42.2,45,29.2,27.6,49.9,41.8,25,25,0,3,8,0,11,14,44
722,SUNSARI,10059,SUNSARI BALIKA AWASIYA MA VI INRUWA,34.4,50.9,40.8,36.5,54.4,40.5,30,30,0,6,12,1,19,11,63.33
723,SUNSARI,10060,INARUWA ENGLISH BOARDING SCHOOL INARUWA,55.2,58.8,64,51.7,60.4,50.9,60,60,3,48,9,0,60,0,100
724,SUNSARI,10061,KOSHI JANATA MA VI HARIPUR,20.5,32.2,16.8,18.3,41.4,24.8,26,26,0,0,4,0,4,22,15.38
725,SUNSARI,10062,MODERN PREPARATORY BOARDING SCHOOL ITAH,51.8,55.1,50.1,42.3,55,51.9,42,42,1,21,16,0,38,4,90.48
726,SUNSARI,10063,RAM DHUNI MA VI LALPUR SINGIYA,27.3,46.9,34.4,34.3,58.7,46.1,73,73,1,12,27,0,40,33,54.79
727,SUNSARI,10064,PURWANCHAL BOARDING SCHOOL HANSPOSA TAR,55.6,65.7,62.6,58.2,78,55.9,26,26,0,26,0,0,26,0,100
728,SUNSARI,10065,SOS HERMANN GMEINER MA VI ITAHARI,56.9,58.1,51.6,41.1,60.8,47,31,31,0,22,6,0,28,3,90.32
729,SUNSARI,10066,DIPENDRA PRAHARI AWASIYA MA VI DHARAN,57.2,58.1,65.3,47.2,64.1,51.8,17,17,2,12,3,0,17,0,100
730,SUNSARI,10067,SHREE 5 MAHENDRA MA VI SUNDARPUR ITAHARI 2,20.7,44,29.8,31,42.9,34.1,74,74,0,4,19,2,25,49,33.78
731,SUNSARI,10068,KACHANA MAHADEV MA VI ITAHARI 4,24.1,46.5,29,29.2,48.2,40.1,55,55,0,7,13,1,21,34,38.18
732,SUNSARI,10069,CARMEL HIGH SCHOOL DHARAN 10,49.7,51.7,64.4,45.9,69.6,49.7,55,55,0,51,4,0,55,0,100
733,SUNSARI,10070,OASIS ENGLISH HIGH SCHOOL DHARAN-10,50.5,56.3,49.4,51.1,53.4,56.1,14,14,0,14,0,0,14,0,100
734,SUNSARI,10071,JANATA MA VI SIMARIYA,11.6,28.6,9.7,17.7,35.3,28.2,80,80,0,0,0,1,1,79,1.25
735,SUNSARI,10072,PANCHAYAT MA VI DHARAN,23,46.2,39,32.9,54.1,42.5,46,46,0,3,17,1,21,25,45.65
736,SUNSARI,10073,EUREKA RESIDENTIAL SCHOOL DHARAN 4,52.8,51.4,66.2,55.2,69.6,52.2,96,96,7,85,4,0,96,0,100
737,SUNSARI,10074,BASANTA RITU MA VI MAHENDRANAGAR,13.2,40,18.5,21.3,41,28.2,100,100,0,2,12,2,16,83,16
738,SUNSARI,10076,MAHENDRA MEMORIAL ENGLISH AWASIYA MA VI D,U 53.2,47.4,66,47.9,54.4,51.9,21,21,0,17,4,0,21,0,100
739,SUNSARI,10077,NAVJYOTI SCHOOL DHARAN,55.6,54,63.1,53.1,61.1,57.4,43,43,0,42,1,0,43,0,100
740,SUNSARI,10078,DHARAN MODEL SCHOOL DHARAN,54.9,65.6,69.9,50.9,68,59.5,16,16,2,14,0,0,16,0,100
741,SUNSARI,10079,GYANODAYA SECONDARY ENGLISH BOARDING SC,55.8,53,66.6,55.2,71.7,56.2,22,22,1,20,1,0,22,0,100
742,SUNSARI,10080,MERRYLAND ENGLISH BOARDING SCHOOL DHARA,N    49,54.4,44.4,33.5,59.6,55.3,27,27,0,14,11,0,25,2,92.59
743,SUNSARI,10081,PANCHAYAT (DANTAKALI) MA VI DHARAN,30.6,56.3,37.8,32.3,56.1,34.1,32,32,0,5,17,1,23,9,71.88
744,SUNSARI,10083,JYOTI MA VI ITAHARI,20.5,38.2,19.7,19.1,35.3,31.3,102,101,0,1,17,1,19,82,18.81
745,SUNSARI,10084,RAJAJEE RAMJEE MEHTO MA VI INARUWA,22.4,35.9,22.7,22.9,42.2,27.4,67,67,0,0,16,4,20,47,29.85
746,SUNSARI,10085,MOUNT MANASLU SECONDARY SCHOOL DUHABI,40.5,58.3,52,44.8,64.5,51.2,44,44,1,28,7,0,36,8,81.82
747,SUNSARI,10086,SAYAPATRI SHISHU SADAN ENGLISH SCHOOL HAN,50.1,59.9,59.5,58.3,69.6,51.2,31,31,1,24,5,0,30,1,96.77
748,SUNSARI,10087,BHRIKUTI SECONDARY BOARDING SCHOOL ITAHAR,50,60.3,56.8,41.5,66.9,47.6,12,12,0,10,2,0,12,0,100
749,SUNSARI,10088,GEM SECONDARY BOARDING SCHOOL DHARAN,40.9,48.8,59.3,44.5,53.7,45.9,12,12,0,7,5,0,12,0,100
750,SUNSARI,10089,NILKANTHA SECONDARY ENGLISH SCHOOL TARAH,43.8,60.2,59.6,41.4,67.8,48.8,5,5,0,3,2,0,5,0,100
751,SUNSARI,10090,ITAHARI MODEL SCHOOL ITAHARI,52.1,54.5,57.5,42.9,53.2,48.9,34,33,1,21,11,0,33,0,100
752,SUNSARI,10091,PRABHAT ENGLISH BOARDING SCHOOL CHATRALIN,44.9,46.6,50.6,45.9,66,44.6,21,21,0,10,9,0,19,2,90.48
753,SUNSARI,10092,JUNIOR PIONEERS SCHOOL DHARAN,59.4,62.5,73.4,58.3,70.4,59.2,22,22,2,20,0,0,22,0,100
754,SUNSARI,10093,SUMNIMA BOARDING SCHOOL DHARAN,48.9,49.5,52.3,40.4,64.8,44.5,16,16,0,9,7,0,16,0,100
755,SUNSARI,10094,KOSHI ST. JAMES RESIDENTIAL SECONDARY SCHO,44.2,56.6,52.4,38.6,62.3,49.3,22,22,0,15,6,0,21,1,95.45
756,SUNSARI,10095,CHAMUNDA BHAGWATI RESIDENTIAL SECONDARY,31.5,50.4,41.5,33,48.7,49.6,22,22,0,6,9,0,15,7,68.18
757,SUNSARI,10096,HOLY LAND INTERNATIONAL SCHOOL DHARAN-15,51.3,53.8,59.8,46,65.8,48.8,4,4,0,4,0,0,4,0,100
758,SUNSARI,10097,BISHNU MEMORIAL BOARDING SCHOOL DHARAN-9,63.5,67.4,76.4,57.2,71.4,57.2,19,19,7,12,0,0,19,0,100
759,SUNSARI,10098,PARADISE ENGLISH BOARDING SCHOOL TARAHAR,A 29.4,54.3,44,40.8,49.5,41.3,30,30,0,8,16,0,24,6,80
760,SUNSARI,10099,ITAHARI RESIDENTIAL MA VI ITAHARI-4,28.6,54.3,46.3,34,54.4,45.3,38,38,0,6,19,0,25,13,65.79
761,SUNSARI,10100,SARASWATI MA VI ITAHARI-7,20.6,33.8,13.5,14.6,32.3,29.3,16,16,0,0,2,0,2,14,12.5
762,SUNSARI,10101,SUNSARI ST. XAVIER'S SECONDARY ENGLISH BOAR,53.5,62.1,64.9,56.4,64.3,51.9,16,16,0,16,0,0,16,0,100
763,SUNSARI,10102,SACRED HEART ENGLISH SCHOOL ITAHARI-5,52.6,55.3,58.2,46.4,54.9,51.5,13,13,0,9,3,0,12,1,92.31
764,SUNSARI,10103,RASTRIYA MA VI ANPGACHHI HANSPOSA,26.5,54.8,41.2,41.2,47.8,40.7,19,19,0,2,11,0,13,6,68.42
765,SUNSARI,10104,HIM SHIKHAR ENGLISH SCHOOL TARAHARA,51.7,59.4,59.3,47,67.8,57.8,9,9,0,9,0,0,9,0,100
766,SUNSARI,10105,NORTH POINT SECONDARY BOARDING SCHOOL ITA,59.6,60.9,60.2,51.2,54.2,51,9,9,0,9,0,0,9,0,100
767,SUNSARI,10106,BAL VIDHYA VIKASH ENGLISH SCHOOL INARUWA,42.8,58.8,58.2,47.2,57.4,53.8,5,5,0,3,2,0,5,0,100
768,SOLUKHUMBU,11000,PRIVATE SOLUKHUMBU,15.1,38.7,18.6,19.7,52.8,33.6,67,67,0,0,5,0,5,62,7.46
769,SOLUKHUMBU,11001,JANAJAGRITI MA VI SALLERI,24.7,49.3,28.6,34.2,58.3,46.6,57,57,0,2,21,0,23,34,40.35
770,SOLUKHUMBU,11002,JIVANJYOTI MA VI NELE,15.3,35.5,11.3,19.7,35.7,34.7,90,90,0,0,3,0,3,87,3.33
771,SOLUKHUMBU,11003,MAHENDRODAYA MA VI SALYAN,21.4,40.9,14.6,27.8,42.2,40.9,70,69,0,3,7,1,11,58,15.94
772,SOLUKHUMBU,11004,BIRENDRA JYOTI MA VI SOTANG,17.4,41.7,25.7,32.9,43.3,44.9,39,39,0,0,5,0,5,34,12.82
773,SOLUKHUMBU,11005,HIMAL DARSAN MA VI NECHA,13.5,43.4,20.8,24.1,56.8,36.6,56,56,0,2,4,0,6,50,10.71
774,SOLUKHUMBU,11006,KHUMJUNG MA VI KHUMJUNG,43,62.9,35.4,41.6,70.2,56,31,31,0,22,7,0,29,2,93.55
775,SOLUKHUMBU,11007,HIMGANGA MA VI CHAUNLAKHARKA,13.8,36.9,11.8,26.6,47.2,40.9,69,69,0,0,3,0,3,66,4.35
776,SOLUKHUMBU,11008,JUNBESHI MA VI JUNBESHI,33.4,49.3,35.7,32.3,48.9,54.2,18,18,0,0,17,0,17,1,94.44
777,SOLUKHUMBU,11009,CHANGESTHAN MA VI KERUNG,25.8,47.3,29.6,30.4,47.1,53.8,8,8,0,0,5,0,5,3,62.5
778,SOLUKHUMBU,11010,JANAKALYAN MA VI JUBU KHARKA,21.2,49.3,16.5,26.4,53.6,35.1,30,30,0,0,3,0,3,27,10
779,SOLUKHUMBU,11011,HIMALAYA MA VI BASAKHASTAP,24.7,50.2,22.3,32.7,50.8,44.6,12,12,0,0,4,0,4,8,33.33
780,SOLUKHUMBU,11012,KHARI KHOLA MA VI JUBHING,27.4,50.4,20.4,33,58.5,45.8,20,20,0,1,8,0,9,11,45
781,SOLUKHUMBU,11013,MAHENDRA JYOTI MA VI CHAURIKHARKA,38.5,66.4,38.8,39.7,67.1,55.4,25,25,0,14,7,0,21,4,84
782,SOLUKHUMBU,11014,BIRENDRODAYA MA VI BHUMESTHAN MUKLI,19.4,33.7,16.8,23.6,37.1,40.8,25,25,0,1,4,0,5,20,20
783,SOLUKHUMBU,11015,SINGHKALI MA VI TINGLA,23.8,44.8,20.3,23.3,45.9,40.3,19,19,0,2,2,1,5,14,26.32
784,SOLUKHUMBU,11016,KALIKA DEVI MA VI PANCHAN LOSKU,20.3,48.2,19.6,27,42.4,42.9,12,12,0,0,1,0,1,11,8.33
785,SOLUKHUMBU,11017,JANATA MA VI LOKHIM,25.6,41.2,17.9,23.2,50.9,33.8,19,19,0,0,0,2,2,17,10.53
786,SOLUKHUMBU,11018,DEUSA MA VI DEUSA,15.4,35.6,21.5,27,41.4,41.8,23,23,0,0,2,1,3,20,13.04
787,SOLUKHUMBU,11019,SAGARMATHA MA VI BAKU,26.6,44.6,29.6,28.4,45.9,42.3,7,7,0,0,4,0,4,3,57.14
788,SOLUKHUMBU,11020,SAGARMATHA MA VI BUNG,18.5,42.8,20,25.8,57,36.2,28,28,0,0,5,0,5,23,17.86
789,SOLUKHUMBU,11021,B P SANSKRIT MA VI SALYAN SOLUKHUMBU,22.8,59.8,23.8,31.5,48.5,47.3,4,4,0,0,2,0,2,2,50
790,SOLUKHUMBU,11022,JANAPRIYA MA VI TAPTING,15.8,35.2,25.9,27.4,40.8,45.4,10,10,0,0,0,0,0,10,0
791,SOLUKHUMBU,11023,JIVANJYOTI MA VI KANGEL,18.5,49.3,8.8,23.8,53.3,38.1,29,29,0,1,0,0,1,28,3.45
792,SOLUKHUMBU,11024,CHHESKAM MA VI CHHESKAM,11.8,35.4,20,23.4,40.7,42,11,11,0,0,1,0,1,9,9.09
793,SOLUKHUMBU,11025,KANKU MA VI BHEDACHAUR,20.4,40.7,17.5,21.9,43,43.1,23,23,0,0,4,0,4,19,17.39
794,SOLUKHUMBU,11026,GUDEL MA VI GUDEL,21.9,47.3,29.9,34.7,45.7,50.6,16,16,0,0,6,0,6,10,37.5
795,SOLUKHUMBU,11027,KEDAR MA VI NECHA BETGHARI,24.1,46.3,22.6,24.8,43.8,45.1,52,52,0,1,14,0,15,37,28.85
796,SOLUKHUMBU,11029,GANESTHAN MA VI NECHA BATASE GAIREE,17.7,40.6,20.2,23.4,64.2,38.5,14,14,0,0,2,0,2,12,14.29
797,SOLUKHUMBU,11030,TAKSINDU MA VI NUNTHALA,28.3,46.8,21.4,26.5,60.1,37.5,19,19,0,0,6,0,6,13,31.58
798,SOLUKHUMBU,11031,BASA KHALI MA VI BASA,24.7,46,17.3,28.3,41.8,44.3,12,12,0,0,2,0,2,10,16.67
799,SOLUKHUMBU,11032,HIMALAYA MA VI JUBU LUHARE,19.8,41.3,13.3,24,47.9,31.4,27,27,0,0,4,1,5,22,18.52
800,SOLUKHUMBU,11033,BUDDHA MA VI GOLI,20.5,51.3,17,27.4,54.2,39.1,28,28,0,0,7,0,7,21,25
801,SOLUKHUMBU,11034,WHITE HILLS ENGLISH SECONDARY BOARDING SC,H 57.7,51.1,50.3,35.8,58,59.3,10,10,0,4,5,0,9,1,90
802,SOLUKHUMBU,11035,SHREE MOUNT EVEREST ENGLISH SECONDARY SC,63.7,57.2,73.1,46.6,57.4,60.6,9,9,0,8,1,0,9,0,100
803,KHOTANG,12000,PRIVATE DIKTEL,9.5,36,12.5,20,28,24.5,2,2,0,0,0,0,0,2,0
804,KHOTANG,12001,CHAMPAWATI MA VI BUIPA,20.2,34.4,14.5,23.8,39.9,32.3,107,104,0,2,9,6,17,86,16.35
805,KHOTANG,12002,SHARADA MA VI KHARPA,22.3,41.6,15.3,30.8,53.3,36.1,52,52,0,1,4,0,5,45,9.62
806,KHOTANG,12003,SARASWATI MA VI DIKTEL,19.3,53.4,20.6,36.8,38.4,31.2,320,318,0,8,45,3,56,261,17.61
807,KHOTANG,12004,TRIBHUVAN MA VI AINSELUKHARKA,26.7,47.2,16.6,25.4,41.9,34.9,63,63,0,0,6,1,7,56,11.11
808,KHOTANG,12005,PRITHVI MA VI BAKSILA,20.4,34.7,12.9,20.5,35.1,26.7,77,77,0,0,10,0,10,66,12.99
809,KHOTANG,12006,DURCHHIM MA VI DURCHHIMDANDA,21.6,43.2,39.7,25.9,42,36.6,26,26,0,1,7,2,10,16,38.46
810,KHOTANG,12007,DEURALI MA VI DUMREKOT,19.5,36.3,10.3,24.2,48.1,34.3,72,72,0,0,2,0,2,70,2.78
811,KHOTANG,12008,KALIKA BALBIKASH MA VI RAKHA,25.9,47.9,33.7,34.2,52,35.1,16,16,0,1,9,1,11,5,68.75
812,KHOTANG,12009,BIDDHYODAYA MA VI DORPA OKHARBOTE,23.1,34.1,17.5,23.1,39.2,32.4,59,59,0,0,2,5,7,52,11.86
813,KHOTANG,12010,SHREE KRISHNA MA VI TEMMA,22.9,32.4,32,25.3,37.4,30.4,42,42,0,0,5,13,18,24,42.86
814,KHOTANG,12011,BHAGAWATI MA VI KHOTANG BAZAR,23.4,37.5,16.4,23.4,44.7,35.1,70,70,0,0,7,0,7,63,10
815,KHOTANG,12012,CHISAPANI MA VI CHISAPANI,20.3,39.2,26.4,27,33.7,36,114,113,0,1,20,8,29,83,25.66
816,KHOTANG,12013,MAHENDRODAYA MA VI CHUINCHUMBA OKHRE,18.3,37.6,14.7,26.8,41.4,30.6,100,100,0,1,10,1,12,88,12
817,KHOTANG,12014,SIMPANI MA VI SIMPANI,24.4,37.5,27.7,24.5,36.6,33.9,95,95,0,0,18,8,26,69,27.37
818,KHOTANG,12015,SAKELA MA VI RATANCHHA,24.8,39.9,19.4,27.5,37.2,34.5,26,26,0,0,0,2,2,24,7.69
819,KHOTANG,12016,SARASWATI MA VI MATTIM BIRTA,20.1,40.3,33.4,25.9,46.2,37.1,174,173,0,2,42,9,53,118,30.64
820,KHOTANG,12017,JANATA MA VI BHANDARIDANDA BATASE,24.3,36.6,23.3,20.5,35.9,29.7,43,43,0,0,7,4,11,32,25.58
821,KHOTANG,12018,JALAPA MA VI JALAPA,36.3,42.8,30.5,35.1,36.4,35.1,62,62,0,0,28,10,38,24,61.29
822,KHOTANG,12019,BAL KANYA MA VI PHAKTANG DHARTUNG,22.1,41.8,25.1,23.1,36,37.5,76,76,0,3,7,10,20,55,26.32
823,KHOTANG,12020,KUHUNDANDA MA VI KHARTAMCHHA PHEDI,17.9,36.2,18.6,24.5,38.4,31.8,64,64,0,0,2,1,3,61,4.69
824,KHOTANG,12021,MANOKAMANA JANAKALYAN MA VI NIRMALIDANDA,19.2,37.8,18,28.8,36.6,32.6,73,73,0,0,3,3,6,67,8.22
825,KHOTANG,12022,SHIDDHESHAWARI MA VI KHIDIM,20.6,42.6,18.7,21.6,46.1,43,19,19,0,0,3,0,3,16,15.79
826,KHOTANG,12023,SHANKHESWORI MA VI BARAHAPOKHARI,26.9,38.3,19,27.1,47.9,37.1,37,37,0,0,7,0,7,29,18.92
827,KHOTANG,12024,MAKPA MA VI MAKPA,23.6,40.7,20.7,25.8,43.1,32.6,45,44,0,1,6,3,10,34,22.73
828,KHOTANG,12025,KALIKA MA VI KHARMI,41.6,41.7,20,28.3,34.6,33.3,39,39,0,0,3,0,3,36,7.69
829,KHOTANG,12026,SHARADA MA VI HAUNCHUR,35.6,44.8,33.5,36.3,35.6,36.3,47,47,0,3,28,0,31,16,65.96
830,KHOTANG,12027,MA VI MAJHUWA BASBOTE (LAPHYANG),20.6,32.7,22.8,36.3,41.8,30.5,78,77,0,0,15,0,15,62,19.48
831,KHOTANG,12028,JANATA MA VI SALLE-1 HALESI,19.3,38.2,38,26.5,41.5,37.7,30,30,0,0,9,0,9,21,30
832,KHOTANG,12029,SARASWATI MA VI ARKHAULE,28,42.6,40.9,38.8,47.5,38.7,35,35,0,2,24,7,33,2,94.29
833,KHOTANG,12030,BINA MA VI LIKUWA POKHARI,15.8,34.2,25.1,19.8,33.4,31.3,29,29,0,0,1,1,2,27,6.9
834,KHOTANG,12031,MOUNT EVEREST ENGLISH BOARDING SCHOOL DIK,40,53.7,67.8,51,57.5,53.6,24,24,0,16,8,0,24,0,100
835,KHOTANG,12032,KALIKA MA VI NERPA,23.3,38.9,36.7,35.3,47.2,37.5,62,62,0,0,34,3,37,25,59.68
836,KHOTANG,12033,SHISHU MA VI RIBDUNG MAHESHWARI,24,37.6,25.4,23.5,42.3,26.4,57,56,0,0,9,14,23,33,41.07
837,KHOTANG,12034,SAPTAKANYA MA VI CHIPRING,19.1,30.9,12.7,20,35.1,30,63,63,0,0,4,1,5,58,7.94
838,KHOTANG,12035,VISHWAJYOTI MA VI LAMIDANDA,28.9,41.7,18.7,26,53.5,36.5,48,48,0,2,6,1,9,39,18.75
839,KHOTANG,12036,RADHAKRISHNA MA VI CHYANDANDA,19,37.4,16.7,25.4,35.9,28.2,57,56,0,1,7,0,8,48,14.29
840,KHOTANG,12037,SARASWATI MA VI DANDAKHARKA CHHITAPOKHARI,19.7,38.2,17.1,28.9,45.8,28.6,75,75,0,1,9,3,13,62,17.33
841,KHOTANG,12038,LAXMI MA VI BADAHARE KHOKSELI,15.3,34.5,8.5,21.1,49.1,37.6,96,96,0,0,7,0,7,88,7.29
842,KHOTANG,12039,SARASWATI MA VI PATHEKA,25.8,29,20.8,22.1,32.4,30.2,53,52,0,0,3,4,7,44,13.46
843,KHOTANG,12040,PANCHA MA VI DIKTELBAZAR,23.1,54.9,21.8,31.7,39.6,35.9,91,91,0,4,19,1,24,66,26.37
844,KHOTANG,12041,DIKTEL ENGLISH BOARDING SCHOOL DIKTELBAZAR,57.2,66.5,65.3,63.8,58.2,43.4,24,24,0,23,1,0,24,0,100
845,KHOTANG,12042,JYOTI MA VI RAJAPANI KHAMTEL,23.6,41.1,23.5,25.7,44.1,33.2,38,38,0,0,13,6,19,19,50
846,KHOTANG,12043,SABITRA MA VI BAMRANG,19.9,48.5,22,32.9,33.9,36.1,34,34,0,0,8,1,9,25,26.47
847,KHOTANG,12044,MAHENDRODAYA MA VI YAMKHA,31.1,36.1,42.9,31.8,46.8,39.4,17,17,0,0,11,4,15,2,88.24
848,KHOTANG,12045,JALPA MA VI NUNTHALA,24,46.7,32.6,29,49,44.7,45,45,0,0,26,3,29,16,64.44
849,KHOTANG,12046,MAHENDRODAYA MA VI HALESI MAHADEVSTHAN,25.6,36.9,32.3,26.7,36.9,34.2,65,65,0,0,17,19,36,29,55.38
850,KHOTANG,12047,CHYASMITAR MA VI CHYASMITAR,20.4,34.7,11.2,22.3,48.4,39.3,51,51,0,0,4,0,4,47,7.84
851,KHOTANG,12048,KALIKA MA VI BAKACHOL,20.4,36.2,21.5,27.9,46.9,27,53,53,0,0,7,2,9,44,16.98
852,KHOTANG,12049,CHAMPAWATEE MA VI BIJAYAKHARKA BASERI,28.7,45.9,33.5,36.4,56.3,40.4,52,52,0,4,36,2,42,10,80.77
853,KHOTANG,12050,SURYA MA VI RAWA SUNGDEL,19.4,33.1,19.2,19.8,35.4,30.6,65,65,0,0,1,4,5,60,7.69
854,KHOTANG,12051,SHANTI MA VI CHHORAMBU,28.2,47.9,32,32.6,44.3,34.3,27,27,0,0,14,2,16,11,59.26
855,KHOTANG,12052,DHIPLUNG MA VI CHHITAPOKHARI SEMMA,17.3,29.2,25.3,21.1,35.9,31.5,35,35,0,0,1,3,4,31,11.43
856,KHOTANG,12053,SAWA KALI MA VI SAWAKATAHARE,25.4,34.2,14.3,23.3,40.1,36,27,27,0,0,2,0,2,25,7.41
857,KHOTANG,12054,LAXMI MA VI KAHULE,19.9,32.4,12.4,18.8,31.9,30.9,37,37,0,0,0,0,0,37,0
858,KHOTANG,12055,RATNA RAJYA LAXMI MA VI KUBHINDE,24.5,39.1,23.8,26.8,46.9,33.8,31,31,0,0,13,0,13,18,41.94
859,KHOTANG,12056,SHITALA MA VI KHALLE,18.8,34,40.9,33.4,43.1,34.7,50,50,0,3,12,4,19,31,38
860,KHOTANG,12057,BULAPANTHE MA VI DHITUNG-2,26.8,42.4,46.4,29.8,45.8,44.4,40,40,0,6,24,1,31,9,77.5
861,OKHALDHUNGA,13000,PRIVATE OKHALDHUNGA,19.3,38.5,20.3,22.6,36.7,39.9,21,20,0,0,5,1,6,14,30
862,OKHALDHUNGA,13001,SAGARMATHA JANATA MA VI,24.6,44.1,28.8,24.2,39,45.1,69,69,0,4,21,1,26,43,37.68
863,OKHALDHUNGA,13002,BARUNESHWAR MA VI RAMPUR,23,43.2,21.2,25.5,41,41.7,60,60,1,2,11,0,14,46,23.33
864,OKHALDHUNGA,13003,RUMJATAR MA VI RUMJATAR,25.5,44.4,31,29.8,47.9,34.2,85,85,0,4,39,3,46,38,54.12
865,OKHALDHUNGA,13004,HIMALAYA MA VI NISANKHE,18.6,33.7,21.9,32.2,40.4,31.2,120,120,0,3,19,3,25,95,20.83
866,OKHALDHUNGA,13005,PRABUDDHA MA VI CHYANAM,23.1,43.1,29.6,42.3,33.3,47.7,19,19,0,0,9,0,9,10,47.37
867,OKHALDHUNGA,13006,CHANDESHWORY MA VI RAGANI,24.9,48.1,35.3,29.8,40.2,38,39,39,0,2,22,4,28,11,71.79
868,OKHALDHUNGA,13007,SARASWATI MA VI KHANI BHANJYANG,27.6,51.5,18.4,31.2,44.7,46.4,72,72,0,7,12,0,19,53,26.39
869,OKHALDHUNGA,13008,GYAN PRAKASH MA VI GHORAKHORI,18.5,39.1,16.6,26,53.1,33.3,149,149,0,2,15,0,17,132,11.41
870,OKHALDHUNGA,13009,MAMKHA MA VI MAMKHA,29.9,49.6,29.5,29.8,53.7,43.8,43,43,0,3,18,1,22,21,51.16
871,OKHALDHUNGA,13010,GRAMODAYA MA VI GAMNANG,29.7,55.4,33.4,35.5,49.8,44.1,46,46,0,7,26,0,33,13,71.74
872,OKHALDHUNGA,13011,BHAGAVATI MA VI MANE BHANJYANG,13.4,35.7,15.8,23.3,41.1,42.4,74,74,0,0,3,0,3,71,4.05
873,OKHALDHUNGA,13012,RAJYA LAXMI MA VI UNBU,14.7,30.1,11.5,21,34.3,34.7,66,65,0,0,2,1,3,62,4.62
874,OKHALDHUNGA,13013,PUNNYAMATA MA VI BETINEE,24.7,50,26.5,24.2,43.4,44.1,26,26,0,1,10,0,11,15,42.31
875,OKHALDHUNGA,13014,KALIKA MA VI SISNERI BHANJYANG,20.8,35.3,22.4,34.4,29.1,41.4,72,72,0,1,24,0,25,47,34.72
876,OKHALDHUNGA,13015,GOLMA DEVI MA VI PALAPU,22.5,41.5,21.5,27,52.4,32,35,35,0,0,11,0,11,24,31.43
877,OKHALDHUNGA,13016,HIM GANGA MA VI RAWADOLU,30.5,54.7,42.1,35.8,47.7,38.2,32,32,0,5,22,1,28,4,87.5
878,OKHALDHUNGA,13017,HARKAPUR MA VI HARKAPUR,12.9,32.7,13.5,20.6,36.9,37,64,64,0,0,2,0,2,62,3.13
879,OKHALDHUNGA,13018,BIGUTAR MA VI BIGUTAR,19.8,42.4,23.8,22,37.5,43.8,45,45,0,0,9,0,9,36,20
880,OKHALDHUNGA,13019,NARAYANSTHAN MA VI ASINE,24.4,41.4,18,28,43.9,30.9,41,41,0,0,8,0,8,33,19.51
881,OKHALDHUNGA,13020,KALIKA MA VI MOLIDANDA,28.8,49.4,26.5,34.5,41.6,40.7,32,32,0,0,17,0,17,15,53.13
882,OKHALDHUNGA,13021,KUNTA MA VI JYAMIRE,18.6,39.3,20.9,21.8,35.2,39.5,51,51,0,1,11,0,12,39,23.53
883,OKHALDHUNGA,13022,JALPA MA VI TARKERABARI,29.8,54.1,39.1,36.5,48.4,43.9,48,48,0,3,42,0,45,3,93.75
884,OKHALDHUNGA,13023,SHIVADUTI MA VI PRAPCHA,25.7,44.6,23.5,26.3,39.6,42.6,34,34,0,2,9,0,11,23,32.35
885,OKHALDHUNGA,13024,JALPA MA VI KALIMATI,15.5,40.1,11.5,25.3,39.9,38.6,41,40,0,1,3,0,4,36,10
886,OKHALDHUNGA,13025,JANA JEEVAN MA VI WACHPOO POKALI,29.1,56,41.4,36.1,50.2,40.8,46,46,0,9,26,0,35,11,76.09
887,OKHALDHUNGA,13026,PHULMATI MA VI KHIJEE PHALATE,29.9,48,35.1,31.6,46.5,39.6,28,28,0,2,17,2,21,7,75
888,OKHALDHUNGA,13027,GANESH MA VI DHUSKE,23.7,46,22.7,27.3,38.4,45.7,30,30,0,1,9,0,10,20,33.33
889,OKHALDHUNGA,13028,KATUNJE MA VI KATUNJE,18.3,35.1,23.2,32.6,27.4,39.2,38,37,0,0,6,0,6,31,16.22
890,OKHALDHUNGA,13029,BHIMSENSTHAN MA VI KETTUKE,19.7,37,16.3,28.4,39.7,42.4,49,49,0,2,7,0,9,40,18.37
891,OKHALDHUNGA,13030,SARASWOTI MA VI BUGNAM,25.3,41.9,19.6,26.4,38,43.3,29,29,0,0,6,0,6,23,20.69
892,OKHALDHUNGA,13031,YASAM MA VI YASAM,22.7,43.8,19.2,30.5,59.1,34.3,35,35,0,0,5,1,6,29,17.14
893,OKHALDHUNGA,13032,KUIBHIR MA VI KUIBHIRTAR,27.3,54.2,24.3,31,46.4,47.9,46,46,0,2,13,0,15,31,32.61
894,OKHALDHUNGA,13033,LALI GURANSH ENGLISH SCHOOL,59.3,68.6,76.1,56.3,59.4,62.1,8,8,2,6,0,0,8,0,100
895,OKHALDHUNGA,13034,NABAJEEBAN MA VI PHEDIGUTH,20,37.6,12.3,27.6,51.4,32.2,21,21,0,0,2,0,2,19,9.52
896,OKHALDHUNGA,13035,MANAKAMANA MA VI WAKSA,13.6,30.6,11.5,22.1,37.8,38.9,68,68,0,0,1,0,1,67,1.47
897,OKHALDHUNGA,13036,SUNKOSHI MA VI BALAKHU,24.1,44.5,34,44.7,36.7,46.3,31,31,0,3,13,0,16,15,51.61
898,OKHALDHUNGA,13037,JIBAN PRADIP MA VI HARKAPUR,29.4,50.7,35.7,33.3,48.6,47.7,39,39,0,5,27,1,33,6,84.62
899,OKHALDHUNGA,13038,KALIKA MA VI BHALUTHUMKA,18.6,35.3,30.1,24.3,31.8,33.4,18,18,0,0,4,3,7,11,38.89
900,UDAYAPUR,14000,PRIVATE UDAYPUR,24.2,39.6,17.2,21.9,40.1,36.8,34,34,0,0,3,2,5,29,14.71
901,UDAYAPUR,14001,JANATA MA VI DEURI TRIYUGA,24.5,44.2,23.7,22.6,42.3,35.7,154,154,0,3,38,10,51,103,33.12
902,UDAYAPUR,14002,PANCHABATI MA VI UDAYAPURGADHI,29.7,43.2,41.9,35.3,55,44.9,35,35,0,4,26,3,33,2,94.29
903,UDAYAPUR,14003,TRIYUGA MA VI GAIGHAT BAZAR,25.6,46.8,20.4,26.4,41.8,36.6,151,151,0,10,27,1,38,113,25.17
904,UDAYAPUR,14004,TRIVENI MA VI KATARI,39.7,47.4,44.3,42.1,50.6,48.7,140,139,1,45,51,6,103,36,74.1
905,UDAYAPUR,14005,JYOTI MA VI BELTAR,25.1,41.6,20.6,20.5,33.7,33.2,177,177,0,1,36,6,43,134,24.29
906,UDAYAPUR,14006,RASUWA MA VI BHUTAR,23.6,47,15.9,29.9,45.6,42.4,20,20,0,0,5,0,5,15,25
907,UDAYAPUR,14007,JANATA MA VI HADIYA,24.9,46.1,24.1,28,43.5,42.6,137,137,0,4,41,0,45,92,32.85
908,UDAYAPUR,14008,NARAD ADARSHA MA VI BASAHA,25.7,49.4,19.2,25,41.8,37.4,146,146,0,1,23,2,26,120,17.81
909,UDAYAPUR,14009,JANATA MA VI JOGIDAHA,24.7,40.4,19.1,20.2,44,36.1,97,97,0,3,21,0,24,73,24.74
910,UDAYAPUR,14010,MAHENDRA RATNA MA VI RUPATAR,31,41,25.1,38.2,46.2,50.3,21,21,0,0,10,0,10,11,47.62
911,UDAYAPUR,14011,JANATA BELKA MA VI PURANDAHA,21.5,39.5,16,28.3,40.8,34.8,97,96,0,0,5,2,7,89,7.29
912,UDAYAPUR,14012,JANAPREMI MA VI RISKU,27.8,44.9,26.2,34.8,44.8,37.6,101,100,0,3,32,8,43,57,43
913,UDAYAPUR,14013,THANPOKHARI MA VI JYAMIREJHOR,20.5,37.9,15.7,21.3,38.5,34.9,86,85,0,0,9,0,9,76,10.59
914,UDAYAPUR,14014,JANATA MA VI JAHADA GURUNGCHAUR,33,52,19.3,23.1,45.4,37.2,34,34,0,1,7,0,8,26,23.53
915,UDAYAPUR,14015,KOSHI JANTA MA VI,28,47.9,27.7,26.9,47,38.6,22,22,0,0,10,1,11,11,50
916,UDAYAPUR,14016,AMBEBAR JANTA MA VI RAJABASH,29.4,48.9,21,26.8,43.8,44.5,77,77,0,0,22,2,24,53,31.17
917,UDAYAPUR,14017,JANAJYOTI MA VI CHUHADE,19.2,47,27.1,18.4,41.3,39.9,102,102,0,6,13,0,19,83,18.63
918,UDAYAPUR,14018,JANAMUKHI MA VI BASERI,26.2,35.6,15.4,33,39.6,42.7,24,24,0,0,4,0,4,20,16.67
919,UDAYAPUR,14019,MA VI BALAMTA,21.3,40.7,17.1,22.5,38.1,33.5,38,38,0,0,6,1,7,31,18.42
920,UDAYAPUR,14020,MA VI JHILKE POKHARI,27.2,38.8,36.2,30.8,47.4,38.5,57,57,0,0,19,21,40,17,70.18
921,UDAYAPUR,14021,JANATA MA VI GURASE,21.2,43,23.4,26.6,37.2,34.4,45,40,0,0,14,2,16,24,40
922,UDAYAPUR,14022,SIDDHAWATI MA VI KHABU,22,46.4,26.1,29,43.3,37.8,78,78,0,7,23,1,31,47,39.74
923,UDAYAPUR,14023,MA VI MUKURCHI,18.3,44.1,23.5,19.6,40.5,37.3,84,84,0,2,13,0,15,69,17.86
924,UDAYAPUR,14024,MA VI BHALAYADADA,31.5,45.5,43.1,29.7,51.5,37.3,102,102,0,6,56,14,76,26,74.51
925,UDAYAPUR,14025,PRABHAKARI MA VI POKHARE,23.3,42.6,21.9,21.7,42.3,34.9,68,68,0,0,15,1,16,52,23.53
926,UDAYAPUR,14026,DHUWAJAN MA VI BAHUNITAR TAWA SHREE-6,18.7,46.5,29.3,27.2,39.7,37.9,48,48,0,0,5,7,12,36,25
927,UDAYAPUR,14027,LALIGURANS SECONDARY ENGLISH BOARDING SC,59.8,53.4,67,39,60.4,50.8,33,33,0,28,4,0,32,1,96.97
928,UDAYAPUR,14028,PASHUPATI MA VI AAMPTAR,24.4,43.7,15.8,25.6,36,40.1,28,28,0,0,6,1,7,21,25
929,UDAYAPUR,14029,KAKANISHWAR MA VI THANAGAUN,22.9,46.4,28.1,30.7,42.6,38.1,39,39,0,0,19,2,21,18,53.85
930,UDAYAPUR,14030,MA VI LAXMIPUR PORTAHA TRIYUGA,28.5,34.8,25.4,20.8,45.6,36.2,59,59,0,1,12,6,19,40,32.2
931,UDAYAPUR,14031,MAHENDRA DIP MA VI TAMLICHHA,28.5,45.8,25.1,27.3,44.3,34,16,16,0,0,6,1,7,9,43.75
932,UDAYAPUR,14032,JANATA KALIKA MA VI SORUNG CHHABISE,26.6,49.6,40.3,31.6,41.9,38.7,21,21,0,0,13,6,19,2,90.48
933,UDAYAPUR,14033,JANATA MA VI RASUWA LAPHAGAUN,20.3,41.6,18.2,16.7,36.2,39.2,17,17,0,0,0,0,0,17,0
934,UDAYAPUR,14034,MA VI CHHINDRING KHOLA BARRE,32.4,44,42.8,34.8,47.2,34.6,44,44,0,5,15,12,32,12,72.73
935,UDAYAPUR,14035,RASTRIYA MA VI BAGAHA,20.3,39.9,20.3,24.2,40.1,31.9,149,148,0,7,29,7,43,105,29.05
936,UDAYAPUR,14036,SARASWATI MA VI SAWA SIDDHIPUR,23.8,38.3,17.2,21.9,46.2,41.5,25,25,0,0,1,1,2,23,8
937,UDAYAPUR,14037,MA VI MAYANKHU,28.4,39.7,19.5,31.6,38.1,42.2,30,30,0,1,3,1,5,25,16.67
938,UDAYAPUR,14038,RAM JANAKI MA VI MOTIGADA TRIYUGA,25.6,47.1,24.6,29.8,44,40.2,65,65,0,7,11,0,18,47,27.69
939,UDAYAPUR,14039,MAHENDRA MA VI SIRWANI BARAHA,18.6,44.4,19.7,27.4,43,36.3,27,27,0,0,5,1,6,21,22.22
940,UDAYAPUR,14040,MA VI AAMASAL,24.2,40.7,22.3,31.8,45.5,36.2,83,83,0,1,24,1,26,57,31.33
941,UDAYAPUR,14041,MA VI RASUWA JANTE,22.7,39.3,20.9,24.6,38.7,30.8,34,34,0,1,4,4,9,25,26.47
942,UDAYAPUR,14042,SAGARMATHA SECONDARY ENGLISH SCHOOL BEL,42.4,50.3,56.7,39.6,53,49.9,66,66,1,36,18,0,55,11,83.33
943,UDAYAPUR,14043,MA VI SIBAI SUNDARPUR,22.7,38.3,11.7,19.4,39.7,33.4,79,79,0,0,11,1,12,67,15.19
944,UDAYAPUR,14044,SAGARMATHA MODEL MA VI GAIGHAT,34.5,44.1,33.7,25.3,51.7,44.4,92,92,0,18,22,0,40,52,43.48
945,UDAYAPUR,14045,UDAYASI ENGLISH BOARDING SCHOOL JALJALE,57.5,58,58.8,39.6,66.9,52.5,33,33,4,23,2,0,29,4,87.88
946,UDAYAPUR,14046,PUMA ENGLISH BOARDING SCHOOL BELTAR,51.8,55.5,73.4,39.6,55.7,50.3,23,23,0,18,4,0,22,1,95.65
947,UDAYAPUR,14047,NAMUNA SCHOOL TRIYUGA-2,36.2,51.5,40.3,26.7,52.2,47.9,74,74,0,19,24,0,43,31,58.11
948,UDAYAPUR,14048,UDAYAPUR ENGLISH SCHOOL TRI NA PA-2,53.2,53.9,61.2,40.9,65,54,35,35,1,31,2,0,34,1,97.14
949,UDAYAPUR,14049,CHANDRAWATI SECONDARY SCHOOL LEKHANIPOK,28.9,36.7,13.2,29.3,34.6,40.6,19,19,0,0,1,0,1,18,5.26
950,UDAYAPUR,14050,PUSHPANJALI SISHUBATIKA RESIDENTAL SECOND,A    37,54.2,49.1,27.3,51.8,47.9,26,26,0,6,13,1,20,6,76.92
951,UDAYAPUR,14051,MAHAKALI MA VI CHAMPAPUR MAINAMAINI-9,26.8,40.8,34.2,24.2,37.4,34.8,5,5,0,0,1,2,3,2,60
952,UDAYAPUR,14052,MA VI NEPALTAR PANCHAWATI-4,30.4,48.8,48.9,41,55.9,36.9,37,37,0,6,20,9,35,2,94.59
953,UDAYAPUR,14053,SAGARMATHA ENGLISH BOARDING SCHOOL KATAR,58.2,47.2,63.5,53.5,53.7,54.4,13,12,0,12,0,0,12,0,100
954,SAPTARI,15000,PRIVATE SAPTARI,27,48.8,27,24.5,42.3,38.5,4,4,0,0,1,0,1,3,25
955,SAPTARI,15001,CHHINNAMASTA BHUPENDRA SAN MA VI SAKHADA,23.3,41.4,10.8,18,37.8,40.5,24,24,0,0,3,0,3,21,12.5
956,SAPTARI,15002,KESHO ANIRUDDHAVATI MA VI RAJBIRAJ,24.6,39.7,23.4,21.9,50,31.1,153,153,0,6,35,2,43,110,28.1
957,SAPTARI,15003,PUBLIC BINDESHWARI MA VI RAJBIRAJ,26.6,47.4,19.8,22.5,39.9,35.2,136,135,0,7,22,0,29,106,21.48
958,SAPTARI,15004,GOVARDHAN BAIRAGI JANATA MA VI PHATTEPUR,24.1,47.4,22,29.7,34.3,35.9,92,92,0,3,10,1,14,78,15.22
959,SAPTARI,15005,RAJAJI TULASILAL JONCHHE JANATA MA VI SISWA,B 27.9,50.6,28.2,29.9,51.7,36,35,35,0,2,8,0,10,25,28.57
960,SAPTARI,15006,DWARIKA SHREE LAL SATANI YADAV MA VI BATHAN,15.8,27,11.3,16.5,30.6,23.3,44,44,0,0,1,1,2,42,4.55
961,SAPTARI,15007,RAJDEVI MA VI RAJBIRAJ,21.9,37.1,17.3,29.4,40.6,35.8,227,227,0,4,32,2,38,188,16.74
962,SAPTARI,15008,LAXMI BALLAV NARSING MA VI BABHANGAMAKATI,20,35.6,19.9,20.9,40.9,28.3,278,278,0,8,38,0,46,232,16.55
963,SAPTARI,15009,SARVODAYA MA VI KANCHANPUR,20.2,41.3,17.3,27.2,42.1,31.8,218,218,0,19,23,0,42,176,19.27
964,SAPTARI,15010,PUBLIC MA VI LAUNIA TILATHI,23.7,37.3,21.5,29.6,44.9,38.5,42,41,0,1,14,0,15,26,36.59
965,SAPTARI,15011,MAHIKAR MA VI PRASBANI,26.7,37.3,21.1,30.2,39.8,32.2,86,86,0,3,19,7,29,57,33.72
966,SAPTARI,15012,MAHABIR MA VI HANUMANNAGAR,20,42.5,22.4,29.5,46.6,36.7,49,49,0,2,4,1,7,42,14.29
967,SAPTARI,15013,BUDDHILAL BIDYAMUNAR MA VI BHAGWATPUR,18,41.5,27.8,29.1,35.8,34.5,101,101,0,3,5,0,8,93,7.92
968,SAPTARI,15014,MA VI DIMAN,15.2,31.5,11,22.3,32.6,30.4,62,62,0,0,2,1,3,59,4.84
969,SAPTARI,15015,KANTA CHANDRA MA VI PATO,16.9,33.4,21.9,20,41.4,34,43,43,0,0,3,0,3,40,6.98
970,SAPTARI,15016,KAMALESHWARY KISUN JHAULAI MA VI BANARJHUL,18.5,36.8,16.3,21.1,45,40.6,80,80,0,2,5,0,7,73,8.75
971,SAPTARI,15017,CHANDRA NAMUNA MA VI BODE BARSAIN,22,44.2,25.8,27.6,28.9,41.5,46,46,0,6,11,0,17,29,36.96
972,SAPTARI,15018,RAM DAYAL MA VI SAKHUWA KACHANDAHA,14,34,15,21.1,28.4,29.2,109,108,0,1,6,0,7,101,6.48
973,SAPTARI,15019,JANATA SHANKAR MA VI RAJGADH NARGHO,22,39.7,19.8,19.8,31.8,26.4,68,68,0,3,10,1,14,54,20.59
974,SAPTARI,15020,MASILAL JANATA MA VI KUSHAHA,19.7,43.5,17.7,23.3,34.4,36.1,218,218,0,3,34,1,38,180,17.43
975,SAPTARI,15021,NANDA UMA PUBLIC MA VI ODRAHA,18.9,37.9,23.3,30.1,32.4,39.5,152,151,0,9,23,1,33,118,21.85
976,SAPTARI,15022,JANATA MA VI SISHUWARI,23.5,48.2,25.1,29.3,43.9,32.5,74,74,0,1,17,2,20,54,27.03
977,SAPTARI,15023,CHUMMANHARI JANATA MA VI MAYANAKADERI,12.3,29.4,10.4,23.2,25.6,28.8,21,21,0,0,1,0,1,20,4.76
978,SAPTARI,15024,THAKURJEE MA VI BAKDHUWA JANDAUL,15.9,35,11.5,16.1,22.4,27.9,85,85,0,0,7,0,7,78,8.24
979,SAPTARI,15025,JAGESHWAR GARAHAI JANATA MA VI SEHARA,21.6,41.4,18.8,27.1,40.7,31.8,66,66,0,0,9,1,10,56,15.15
980,SAPTARI,15026,SHREE 5 MAHENDRA MA VI PHULBADIYA,28,49.6,44.7,36.4,49,42.7,47,47,0,13,18,1,32,15,68.09
981,SAPTARI,15027,KESHAV SMARAK JANATA MA VI TIKULIYA,16.8,45.6,11.5,25.2,43,29,45,45,0,1,2,0,3,42,6.67
982,SAPTARI,15028,LAXMI NARAYAN MA VI BAIRAWA,21,40.5,19.6,24.4,25.1,31,62,62,0,0,4,0,4,58,6.45
983,SAPTARI,15029,KANCHHU NARAPRATAP MA VI NAKATI,22.4,38.1,23.7,23.6,45.7,30.9,82,82,0,3,5,1,9,73,10.98
984,SAPTARI,15030,SHREE 5 MAHENDRA CHUNNI MA VI MANARAJA,20.6,36.8,23.8,22.1,43.2,35.9,106,105,0,1,19,4,24,81,22.86
985,SAPTARI,15031,BHAWANI PRA SAKAL PRA RAM PRA JANATA MA VI,25.1,53,21.7,29.1,36.8,46.9,61,61,0,3,10,2,15,46,24.59
986,SAPTARI,15032,NARA BAHADUR THAPA JANTA MA VI PAKARI GOTH,21.8,38.4,31.9,25.5,43.2,35.2,45,45,0,0,14,4,18,27,40
987,SAPTARI,15033,ISHWARI HIYA SURAIT JILEWI JANATA MA VI SARSH,22.6,46.5,22.4,30.7,46,35,19,19,0,0,5,0,5,14,26.32
988,SAPTARI,15034,JANTA MA VI TARAHI,18.9,24,26.3,17.4,33.8,34.3,19,18,0,0,3,1,4,14,22.22
989,SAPTARI,15035,HIRA PHEKANI MA VI BANAWOLA,16.8,40.3,10.6,20.7,37.8,30.5,47,47,0,1,1,0,2,45,4.26
990,SAPTARI,15036,NARENDRA MEMORIAL JANTA MA VI BORIYA,20.8,43.6,22.6,21,38.9,29.4,35,35,0,0,5,2,7,28,20
991,SAPTARI,15037,HAPPY LAND MA VI RAJBIRAJ,56.4,55.8,55.7,41.2,60.5,47.7,126,126,1,90,29,0,120,6,95.24
992,SAPTARI,15038,JANATA MA VI KHURAHURIYA,21.7,50.3,22.1,24.4,37,32.6,41,41,0,2,8,0,10,31,24.39
993,SAPTARI,15039,S L P MA VI MAHUKI PATHARGADA,19.3,29.4,14.2,14.4,37.8,24.7,92,92,0,2,6,1,9,83,9.78
994,SAPTARI,15040,KANKALANI MA VI PORTAHA,26.7,41.1,21.5,35.8,44.9,36.3,27,27,0,0,3,2,5,22,18.52
995,SAPTARI,15041,B P SMARAK PUBLIC MA VI BHARADAHA,28.2,44.4,27.6,41.5,46,38.9,29,29,0,0,12,2,14,15,48.28
996,SAPTARI,15042,JANATA MA VI KATAIYA PHATTEPUR,27.3,37,18.6,31.7,39.3,31.8,39,39,0,0,6,0,6,33,15.38
997,SAPTARI,15043,DURGA MA VI RAJBIRAJ,55.2,50.3,65.6,47.4,69.5,46.7,105,105,0,78,20,0,98,7,93.33
998,SAPTARI,15044,JAYANTI INDIRA KANYA MA VI RAJBIRAJ,22.9,48.4,19,18,36.4,31.9,14,14,0,0,2,0,2,12,14.29
999,SAPTARI,15045,MAHENDRA JANATA MA VI BALUWA SITAPUR,18.7,36.1,23,29,32,38.4,133,133,0,4,26,1,31,102,23.31
1000,SAPTARI,15046,JANATA MA VI ITAHARI BISHNUPUR HATI,35.8,57,46.2,33.1,43.8,39.5,13,13,0,1,7,0,8,5,61.54
1001,SAPTARI,15047,GOLDEN STAR SECONDARY SCHOOL RAJBIRAJ-6,47.6,44.8,46.8,30.3,55.4,42.9,12,12,0,4,5,0,9,3,75
1002,SAPTARI,15048,JANTA RAMESHWAR MEMORIAL MA VI BRAHAMPUR,22.3,35.5,13.4,27.9,33.7,28.1,74,73,0,0,3,0,3,70,4.11
1003,SAPTARI,15049,SHATRUDHAN MA VI NEGADABAIRIYA YOGIYA,19.5,29.6,18,18,30.4,26.3,36,35,0,0,6,1,7,28,20
1004,SAPTARI,15050,LALIGURANS ENGLISH BOARDING SCHOOL RAJBIR,41.1,54.8,42.4,32.1,47.7,40.2,48,48,0,17,9,0,26,22,54.17
1005,SAPTARI,15051,JANA PRABHAT MA VI DAULATPUR,17.8,47.2,13.3,22.9,42.9,28.2,127,127,0,0,4,1,5,122,3.94
1006,SAPTARI,15052,SHANKAR MA VI BHAGAWATPUR,23.4,44.2,21.6,39.9,47.8,39.9,44,44,0,3,5,0,8,36,18.18
1007,SAPTARI,15053,LU LA SA JA MA VI TERHAUTA,25.7,37.9,14.3,27,39.3,34.3,44,44,0,2,6,0,8,36,18.18
1008,SAPTARI,15054,MAHABIR MA VI BISHAHARIYA,17.7,38.5,14.6,29.4,39.8,32.4,50,50,0,0,9,0,9,41,18
1009,SAPTARI,15055,JANTA MA VI KHUDIBUKHARI KUPAHI,19.1,38.5,14.1,18.6,34.1,25,19,19,0,0,3,0,3,16,15.79
1010,SAPTARI,15056,MOTHER MEMORIAL ENGLISH BOARDING SCHOOL,53.6,52.9,60.1,59.9,48.9,56.9,28,28,0,22,6,0,28,0,100
1011,SAPTARI,15057,JANCHETNA MA VI BHAWANIPUR,19.1,40.3,14.5,22,28.6,33.2,114,114,0,1,14,0,15,99,13.16
1012,SAPTARI,15058,LITTLE FLOWER SECONDARY SCHOOL RAJBIRAJ-9,47.9,57,61.7,41.7,56.5,42.4,28,28,0,24,3,0,27,1,96.43
1013,SAPTARI,15059,JANKI SECONDARY SCHOOL RAJBIRAJ-8,50.5,62.9,49.7,38,60.1,42.8,11,11,0,6,5,0,11,0,100
1014,SAPTARI,15060,WORLD VISION MODERN SCHOOL RAJBIRAJ,29.1,55,34.1,32.6,48.5,39.4,35,35,0,6,15,0,21,14,60
1015,SIRAHA,16000,PRIVATE SIRAHA,16,36,27,16,24,26,1,1,0,0,0,0,0,1,0
1016,SIRAHA,16001,CHANDRA MA VI SIRAHA,25.7,45.1,31.5,24.8,39,35.8,125,123,0,6,40,10,56,67,45.53
1017,SIRAHA,16002,BRAJMOHAN JHABBURAM JANATA MA VI MADAR,20.8,33.5,22,20.3,30.2,30.1,41,40,0,1,8,2,11,29,27.5
1018,SIRAHA,16003,RAM DULARI MA VI KALYANPUR,24.6,42.1,28.9,27.1,49.7,38.5,87,87,0,0,24,14,38,49,43.68
1019,SIRAHA,16004,JANATA MA VI POKHAR BHINDA,19.2,33,28.8,21.6,37,34.8,70,70,0,1,13,4,18,52,25.71
1020,SIRAHA,16005,JANATA MA VI SONBARSHA,26.4,32.6,20.6,14.9,29.7,23.9,41,41,0,0,6,2,8,33,19.51
1021,SIRAHA,16006,JANATA MA VI CHANDRODAYPUR,23.3,40.8,27.3,25.9,39.3,34.2,68,68,0,1,23,3,27,41,39.71
1022,SIRAHA,16007,JANATA MA VI RAJPUR,16.9,26.7,17.4,23.6,31.5,37.6,24,24,0,0,2,1,3,21,12.5
1023,SIRAHA,16008,JANAKALYAN MA VI GOURIPUR,25.6,32.8,27.5,24.2,37.5,34.4,36,35,0,2,7,3,12,23,34.29
1024,SIRAHA,16009,JANATA MA VI DEURIPATTI SHIVANAGAR,18.1,30.1,12.9,22.1,27.8,31.3,36,35,0,0,1,0,1,33,2.86
1025,SIRAHA,16010,JANATA MA VI SUKHIPUR,20.6,27.2,15.3,20.6,31.5,27.4,103,103,0,0,13,1,14,89,13.59
1026,SIRAHA,16011,MANILAL JANATA MA VI SOTHIAAEN,20.7,37.1,36.6,25.3,34.2,40.9,46,46,0,3,13,1,17,29,36.96
1027,SIRAHA,16012,RAJAI JANAK LAL MA VI BALAHI,23.2,33.8,15.1,40.4,34.2,36.2,55,55,0,2,4,1,7,48,12.73
1028,SIRAHA,16013,MA VI SANHAITHA,18.4,25.1,21.8,18.1,29.6,28.4,37,36,0,2,1,2,5,31,13.89
1029,SIRAHA,16014,BASTIPUR MA VI BASTIPUR,26.3,43,38.1,24,42.4,39.8,102,102,0,13,32,1,46,56,45.1
1030,SIRAHA,16015,TULASIRAM SATYABHAMA DOTEL MA VI BISHNUPU,28.3,36.1,32.2,28,36.8,34,156,155,0,4,60,5,69,86,44.52
1031,SIRAHA,16016,JANATA NANDA LALITA MA VI LAXMIPUR PATAR,28.6,25.7,20.8,22.5,35.4,28.9,45,44,0,0,10,0,10,34,22.73
1032,SIRAHA,16017,MOHAN MA VI RAMNAGAR MIRCHAIYA,16.5,34.3,13.8,18.4,33.5,27.8,172,170,0,0,18,1,19,151,11.18
1033,SIRAHA,16018,JANASEWA MA VI KARJANHA,24.3,39.2,28.9,31.8,36.5,39.1,77,77,0,3,26,0,29,48,37.66
1034,SIRAHA,16019,JANATA MA VI ASANPUR GOLBAZAR,24.9,36.7,28.5,29.6,35.2,28.1,133,133,0,4,30,15,49,84,36.84
1035,SIRAHA,16020,PASHUPATI MA VI MATIHARBA LAHAN,25.4,43,23.7,20.5,40.1,33.5,204,203,0,7,50,3,60,143,29.56
1036,SIRAHA,16021,HANUMAN PRASAD SHARADA MA VI INARWA,18,35.5,14.1,24.4,31.5,43.4,43,43,0,0,3,0,3,40,6.98
1037,SIRAHA,16022,SARASWOR NATH MA VI SARASWAR,21.3,32.4,20.1,21.4,32.1,27.9,29,29,0,0,3,1,4,25,13.79
1038,SIRAHA,16023,JANATA VANWALI MA VI BARCHHAWA,24.2,43.4,30.4,23.1,40.2,36.2,55,54,0,2,17,2,21,33,38.89
1039,SIRAHA,16024,JANATA MA VI JIJHAUL KAJARA,18.9,36,30.6,14,32.2,26.8,62,62,0,1,9,1,11,51,17.74
1040,SIRAHA,16025,JANATA MA VI CHANDRALALPUR,19.3,38.1,25.5,29.8,39.3,41.2,36,36,0,0,5,1,6,30,16.67
1041,SIRAHA,16026,JANATA MA VI MAHANAUR BETAUNA,27.7,34.1,28.6,27.7,30.6,40.2,44,44,0,0,15,0,15,29,34.09
1042,SIRAHA,16027,NEPAL RASTRIYA FUL KUMARI MAHATO MA VI BAND,23.8,49.6,25.3,21.9,42.3,39.2,106,106,0,7,25,0,32,74,30.19
1043,SIRAHA,16028,LA MA JA MA VI BANINIYA,25.4,38.1,29.9,20.6,37.4,34.6,54,54,0,5,14,0,19,35,35.19
1044,SIRAHA,16029,JANATA MA VI BHAWANIPUR BETAHA,21.5,34.8,20.1,20.8,32.3,34.4,109,108,0,1,17,2,20,88,18.52
1045,SIRAHA,16030,LALAJI SA MA VI SIRAHA,19.6,31,23.2,25.2,35.9,28,42,42,0,0,6,4,10,32,23.81
1046,SIRAHA,16031,SUNDAR JANATA MA VI AURAHI,20.2,31.2,18.7,16,30.9,31.2,79,79,0,1,14,1,16,63,20.25
1047,SIRAHA,16032,MA VI BHALUWAHI,21.7,31.1,22.8,17.2,34.2,31.2,44,44,0,1,5,1,7,37,15.91
1048,SIRAHA,16033,BALA SUNDARI MA VI BHAGWANPUR,18.1,34.6,26.1,24.6,32.5,41.4,39,38,0,0,9,1,10,28,26.32
1049,SIRAHA,16034,LAXMAN LALITA KUSWAHA MA VI RAGHUNATHPUR,34.8,40,37,31.6,49.4,34.9,72,72,0,7,33,9,49,23,68.06
1050,SIRAHA,16035,JANATA MA VI DAHIPAURI,25.8,33.1,31.1,25.9,33.8,25.1,48,48,0,0,15,3,18,30,37.5
1051,SIRAHA,16036,JANATA MA VI SONMATIGADHA,23.3,42.2,32.1,19.2,35.2,32.8,72,71,0,0,23,3,26,45,36.62
1052,SIRAHA,16037,LAXMI MA VI LAXMIPUR,14.5,24.8,34.7,24.9,33.2,27.1,18,18,0,0,2,0,2,16,11.11
1053,SIRAHA,16038,LA NA KAU JA MA VI NAHARA RIGAUL,21.6,39.5,24,26.8,37.1,41.9,60,60,0,2,12,0,14,46,23.33
1054,SIRAHA,16039,JANATA CHETHARU JEETAN MA VI KAVILASIE,24.3,34.6,31.2,22.5,37.9,36.4,38,38,0,3,10,2,15,23,39.47
1055,SIRAHA,16040,JANATA MA VI GAURIPUR BISHNUPUR,16.5,31.6,41.8,29.3,40.2,35.2,38,38,0,2,7,3,12,26,31.58
1056,SIRAHA,16041,MAHABIR MA VI CHAINPUR,19.9,33.4,7.3,19,30.4,32.4,42,42,0,0,0,0,0,42,0
1057,SIRAHA,16042,SAGARMATHA MA VI DHODHANA BIRNAGAR,24.3,39,27.3,19.4,33.5,38.5,51,51,0,0,17,2,19,32,37.25
1058,SIRAHA,16043,SARASWATI MA VI JAMDAHA,27.3,43.6,41.7,33.8,40.4,30.3,56,56,0,1,26,4,31,24,55.36
1059,SIRAHA,16044,JANTA MA VI BARIYARPATTI,25.1,32.5,19,22.8,37.6,39.1,56,56,0,1,10,0,11,45,19.64
1060,SIRAHA,16045,SHARDA SECONDARY ENGLISH BOARDING SCHOO,44.2,45.6,50.3,27.5,50,44.7,49,49,0,20,15,0,35,14,71.43
1061,SIRAHA,16046,J M ACADEMY SIRAHA 1,38,47.3,47.4,30.7,40.7,44.2,38,38,0,11,15,1,27,11,71.05
1062,SIRAHA,16048,SAGARMATHA ENGLISH BOARDING SCHOOL KATAR,55.4,57.4,68.2,52.7,61.7,47.5,55,55,1,52,2,0,55,0,100
1063,SIRAHA,16049,LITTLE STAR ENGLISH SCHOOL LAHAN,58.5,62.2,70,52.1,50.3,57.2,51,51,6,43,2,0,51,0,100
1064,SIRAHA,16050,JANATA MA VI MAUWAHI,20.3,32.4,13.9,12.3,34.1,23.8,28,28,0,0,0,0,0,28,0
1065,SIRAHA,16051,CONVENT SECONDARY ENGLISH BOARDING SCHO,53.5,50.1,70.1,45.9,63.6,44.2,37,37,7,22,6,0,35,2,94.59
1066,SIRAHA,16052,MA VI HANUMANNAGAR BRAMHAN GAUCHHARDI,24.4,40.3,25.3,16,29.6,30.2,71,71,0,2,12,3,17,54,23.94
1067,SIRAHA,16053,JVM SECONDARY BOARDING SCHOOL ASANPUR G,30.8,45.5,50.7,45.9,50.2,42.6,124,124,0,27,70,2,99,25,79.84
1068,SIRAHA,16054,APOLLO OM ENGLISH AWASIYA MA VI LAHAN 7,62.5,40.2,68.5,58.9,61.7,49.6,19,19,0,19,0,0,19,0,100
1069,SIRAHA,16055,MOUNT EVEREST SECONDARY BOARDING SCHOOL,56.8,59,65,52.6,58.4,52.7,25,25,1,23,1,0,25,0,100
1070,SIRAHA,16056,NAVODAYA AWASIYA MA VI BISHNUPUR,39.1,45.9,58.4,47.7,58,48.7,32,32,0,15,12,0,27,5,84.38
1071,SIRAHA,16057,SRIJANA SECONDARY ENGLISH BOARDING SCHOO,47.5,54.2,63.2,45.9,58.9,53.3,17,17,0,16,1,0,17,0,100
1072,SIRAHA,16058,HIMALAYA ENGLISH BOARDING SCHOOL MIRCHAIY,50.1,57.4,42.9,46.1,69.4,59.3,7,7,0,6,0,0,6,1,85.71
1073,SIRAHA,16059,RAM JANAKI MA VI CHHAJANA VIDHYANAGAR,30.6,37.1,34,28.1,43.6,38.5,41,41,0,2,16,4,22,19,53.66
1074,SIRAHA,16060,ARUNODAYA AWASIYA MA VI MIRCHAIYA,34.6,62.4,51,31.8,54.9,44.2,67,67,0,22,42,0,64,3,95.52
1075,SIRAHA,16062,RAMA MAHANTHI YADAV JANTA MA VI SITAPUR,24.3,21.8,22,21.3,37,26.4,49,48,0,0,12,0,12,36,25
1076,SIRAHA,16063,LAHAN MERRY CHILDREN ACADEMY LAHAN-6,59.1,54.5,86.2,59.7,62.5,65.9,11,11,1,10,0,0,11,0,100
1077,SIRAHA,16064,"JANATA MA VI MOHANPUR, KAMALPUR",34.2,48,55.6,33.9,48.9,41.7,33,33,0,9,19,3,31,2,93.94
1078,SIRAHA,16065,LAHAN MANAKAMANA SECONDARY ENGLISH BOAR,58.8,60.9,83.8,58,61.4,66.7,16,16,1,15,0,0,16,0,100
1079,DOLAKHA,17000,PRIVATE DOLAKHA,23.2,41.2,18.4,13,30.5,23.4,33,32,0,0,0,0,0,32,0
1080,DOLAKHA,17001,JIRI MA VI JIRI,25.1,39,37.8,22.7,38.6,48.4,135,134,0,2,57,4,63,71,47.01
1081,DOLAKHA,17002,BHIM MA VI SUNTOPAR DOLAKHA,31.6,54.3,48.4,31.2,44.8,48.9,71,71,0,17,27,0,44,27,61.97
1082,DOLAKHA,17003,KSHAMAWOTI MA VI SUSPA,26.1,47.2,32.8,28.9,47.7,35,36,36,0,2,12,1,15,21,41.67
1083,DOLAKHA,17004,TRIBHUVAN MA VI MELUNG,22.4,43.1,27.3,22.5,37,41.9,113,113,0,5,25,3,33,80,29.2
1084,DOLAKHA,17005,BAITESHWOR MA VI NAMDU,22.5,44.8,30.2,25,40.8,37.9,114,112,0,2,29,3,34,78,30.36
1085,DOLAKHA,17006,SHANTI ADARSHA MA VI LADUK,23.6,48.5,32.1,25.3,38.6,45.1,30,30,0,1,8,2,11,19,36.67
1086,DOLAKHA,17007,KALINCHWOK MA VI LAMACHAUR CHARIKOT,29.5,57.4,50.7,27.2,46.4,48.9,111,111,0,14,56,0,70,41,63.06
1087,DOLAKHA,17008,GOLMESHWOR MA VI MALU,27.8,50,36.4,29.7,39.6,40,92,92,0,7,42,2,51,41,55.43
1088,DOLAKHA,17009,SATYASHWAR MA VI PAWATI,18.8,42.2,31,18.3,31.6,31.6,48,47,0,0,7,2,9,38,19.15
1089,DOLAKHA,17010,DURGA MA VI MAGADEURALI,24.7,43.9,49.6,25.6,40.5,37.1,62,62,0,4,27,6,37,25,59.68
1090,DOLAKHA,17011,SURKE MA VI KHARIDHUNGA,25.9,47.4,44.4,25.9,45.6,39.3,20,20,0,0,12,1,13,7,65
1091,DOLAKHA,17012,HANUMANTESHWAR MA VI KABRE,40.1,63.8,65.2,41.7,50,44,100,100,3,41,43,0,87,13,87
1092,DOLAKHA,17013,AMAR MA VI JHULE BHATTERCHOUR,25.7,45.3,31.5,23.3,41.4,42,76,75,0,4,31,3,38,37,50.67
1093,DOLAKHA,17014,GARJANGA DHUNGA MA VI PUMPAKOT,23.5,43,31.8,20.5,39.6,50.6,26,26,0,2,8,0,10,16,38.46
1094,DOLAKHA,17015,HILEPANI SAN MA VI HILEPANI LAMIDANDA,17.3,39.7,25.8,28,40,33.8,75,74,0,0,9,1,10,64,13.51
1095,DOLAKHA,17016,KALINAG MA VI SUNKHANI,28.5,48.2,53.3,38.6,46.8,41.6,62,62,0,8,36,1,45,17,72.58
1096,DOLAKHA,17017,NILKHANTHESHWOR MA VI JUNGU,39.2,57.9,46.1,28.9,53.6,48.9,32,32,0,9,23,0,32,0,100
1097,DOLAKHA,17018,KALIKA MA VI HANWA,33,50.7,44.5,26.2,50.3,42.8,49,49,0,9,31,0,40,9,81.63
1098,DOLAKHA,17019,MAHENDRODAYA MA VI MATI,26.3,40.3,33.6,23.5,40.8,34.5,56,56,0,0,24,3,27,29,48.21
1099,DOLAKHA,17020,EPARD SECONDARY BOARDING SCHOOL JIRI,47.6,60.2,51.3,31.1,54.9,49.6,29,29,0,4,17,0,21,8,72.41
1100,DOLAKHA,17021,PASHUPATI KANYA MANDIR MA VI CHARIKOT,29.7,48.7,36.8,26,46,34.6,50,50,0,4,26,0,30,20,60
1101,DOLAKHA,17022,HALESHWAR MA VI SURI TINEKHU,26.1,46.5,42.1,27.5,45.7,47.3,54,54,0,8,24,2,34,20,62.96
1102,DOLAKHA,17023,HIMALAYA MA VI KHOPACHAGU,17.5,38.8,19.1,26.3,43.4,33.9,19,19,0,0,5,0,5,14,26.32
1103,DOLAKHA,17024,KALIKA MA VI SUNDRAWATI,19.4,44.7,27.8,24.7,40.8,34.6,56,56,0,0,12,0,12,44,21.43
1104,DOLAKHA,17025,JANA JYOTI MA VI GAIRIMUDI,33,38.8,43.5,25.8,40.2,51.1,25,25,0,2,11,4,17,8,68
1105,DOLAKHA,17026,KSHATRAWATI MA VI KSHATRAPA,38.9,59.6,50.3,38.9,54,44.9,39,39,0,15,23,0,38,1,97.44
1106,DOLAKHA,17027,SARBA MA VI JILU,31.4,50.4,42.1,30.1,46.4,40,25,25,0,2,17,0,19,6,76
1107,DOLAKHA,17028,KUTI DANDA MA VI MAKAIBARI,23.5,57.2,42.9,25.4,49.3,47.1,53,53,0,9,19,0,28,25,52.83
1108,DOLAKHA,17029,KALIKA MA VI PHASKU DARKHA,21.4,46.9,27.3,19.7,35.8,28.9,61,61,0,0,8,4,12,49,19.67
1109,DOLAKHA,17030,LAXMI MA VI SUKATHOKAR GHYANG,29.2,39,31.1,21.2,40.8,31.7,13,13,0,0,4,3,7,6,53.85
1110,DOLAKHA,17031,TRIPURA GLORIOUS ACADEMY CHARIKOT,55,55.9,75.1,48.6,69.2,58.7,18,18,1,16,1,0,18,0,100
1111,DOLAKHA,17032,DEVI MA VI BONCH,18.8,37.4,34.5,20,34.9,33,44,44,0,0,4,6,10,34,22.73
1112,DOLAKHA,17034,NARAYANI MA VI BHIRKOT,27.3,52,30.6,31.6,44.1,51.1,22,22,0,3,8,0,11,11,50
1113,DOLAKHA,17035,KALIKA MA VI GHYANG SUKATHOKAR,25.2,44.1,38,26.1,42.9,35.9,23,23,0,0,11,1,12,11,52.17
1114,DOLAKHA,17036,KALLABARI MA VI DUDHAPOKHARI,35.2,55.4,60.1,40.9,43.8,42.3,30,30,0,7,21,1,29,1,96.67
1115,DOLAKHA,17037,BIRENDRA MA VI KATAKUTI,27.9,49,37.4,31.3,41.3,39.7,35,35,0,3,14,1,18,17,51.43
1116,DOLAKHA,17038,SITAPAILA MA VI JAPHE,31.4,55.9,52.6,31.2,43.9,44.2,37,37,0,8,21,0,29,8,78.38
1117,DOLAKHA,17039,SURKE MA VI BHANDARE LAKURIDANDA,16.9,38.5,30.2,16.9,35.8,29.2,32,32,0,1,1,0,2,30,6.25
1118,DOLAKHA,17040,BAUDDHA BHUWANESHWARI MA VI MALI CHARIKOT,34.8,54.8,34.3,29.4,50.6,45,23,22,0,3,18,0,21,1,95.45
1119,DOLAKHA,17041,THE RISING STAR ENGLISH BOARDING SCHOOL CH,60.7,63.7,90.4,56,72.4,61.6,23,23,10,13,0,0,23,0,100
1120,DOLAKHA,17042,KALIDHUNGA MA VI MIRGE-7 MAJUWA,33.2,56.2,45.2,38.9,47.8,40.1,28,28,0,8,17,1,26,1,92.86
1121,DOLAKHA,17043,KALINAG MA VI LAMIDANDA-6 SINGATI,28.9,42.1,31.5,31.5,39.9,34.9,35,35,0,3,10,1,14,21,40
1122,DOLAKHA,17044,GAURISHANKAR MA VI LAMABAGAR,29.1,40.5,45.6,37.3,52.5,40.8,13,13,0,4,5,1,10,3,76.92
1123,RAMECHHAP,18000,PRIVATE RAMECHHAP,18.7,45.1,36.7,18.8,39.3,39.6,39,39,0,0,7,0,7,32,17.95
1124,RAMECHHAP,18001,GAURISHANKAR MA VI RAMECHHAP BAZAR,32.2,42.2,38.6,31.3,36.3,39.5,107,107,0,4,53,18,75,32,70.09
1125,RAMECHHAP,18002,SHARADA MA VI THOSEBAZAR,32.6,51.9,51.3,35.1,45.6,38.5,42,42,0,5,32,1,38,4,90.48
1126,RAMECHHAP,18003,HIMGANGA MA VI SANGHUNTAR,17.2,39.9,29,25.3,42.8,34.4,68,68,0,5,11,0,16,52,23.53
1127,RAMECHHAP,18004,BHIMESHWAR RUDRA MA VI CHISAPANI,20.9,41.1,27.8,19.2,40.4,39,46,46,0,2,10,1,13,33,28.26
1128,RAMECHHAP,18005,SIDDHESHWAR MA VI BAMTI BHANDAR,27.3,44,31.8,25.7,45,39.8,69,69,0,0,23,12,35,34,50.72
1129,RAMECHHAP,18006,SATLINGESHWAR MA VI GUNSI,30.8,50.5,39,26.6,42.8,41.6,36,36,0,7,15,0,22,14,61.11
1130,RAMECHHAP,18007,PRAYAGESWAR MA VI PHULPA PAKARWAS,18.9,41.1,29.8,20.2,39.5,40.4,72,71,0,2,9,1,12,59,16.9
1131,RAMECHHAP,18008,KHADA DEVI MA VI MAJHUWA,28,44.8,44.4,25.2,37.5,39.8,22,22,0,1,11,0,12,10,54.55
1132,RAMECHHAP,18009,TAMAKOSHI JANJAGRITI MA VI KHIMTIBESI,30.3,50.3,39.7,34.9,43,42.4,78,78,0,9,38,4,51,27,65.38
1133,RAMECHHAP,18010,JANAJAGRATI MA VI PAKHRIBAS BETALI,19.9,40.2,38,23.3,41.9,39,57,57,0,1,14,0,15,42,26.32
1134,RAMECHHAP,18011,KUSHESHWOR MA VI BETHAN,26.9,52.4,40.7,25.9,54.3,46.3,40,40,0,4,21,0,25,15,62.5
1135,RAMECHHAP,18012,KAKLING MA VI DORAMBA,18.6,41,28.1,13.9,43.9,36.1,30,30,0,0,2,0,2,28,6.67
1136,RAMECHHAP,18013,TRIPURESHWAR MA VI DURAGAUN,20.8,51.4,41.7,28.4,43.8,37.8,23,23,0,2,3,0,5,18,21.74
1137,RAMECHHAP,18014,MAHENDRODAYA MA VI MANTHALI BESI,33.8,51.8,50.2,33.5,46.7,47,178,178,1,51,84,0,136,42,76.4
1138,RAMECHHAP,18015,SHARADA SAN MA VI BABIYAKHARKA,37.1,50.9,55.8,43,44,57,9,9,0,4,3,0,7,2,77.78
1139,RAMECHHAP,18016,SETI DEVI MA VI SALU,28.3,38,35.8,31.3,35.7,41.4,72,72,0,7,29,4,40,32,55.56
1140,RAMECHHAP,18017,SHARADA MA VI SAWADADA GELU,26.5,44.6,27,31.1,37.8,40.2,67,67,0,3,20,5,28,39,41.79
1141,RAMECHHAP,18018,CHANDESHWARI MA VI PREETY,16.3,42.9,23.6,23.5,41.3,36.1,51,51,0,0,3,0,3,48,5.88
1142,RAMECHHAP,18019,PASHUPATI MA VI NAGSIWA,30,44.5,46.9,23.8,42.3,35.7,23,23,0,0,14,1,15,8,65.22
1143,RAMECHHAP,18020,NILKANTHESWAR MA VI KATHJOR,21.3,35.6,28.8,18,39,30.8,22,22,0,0,5,0,5,17,22.73
1144,RAMECHHAP,18021,KANTHESHWAR MA VI TOKARPUR,17.5,33.5,13.6,12.6,33.6,31.6,27,27,0,0,0,0,0,27,0
1145,RAMECHHAP,18022,MA VI DAHU,26.7,51.4,50.3,26.5,56.8,47.5,37,37,0,7,12,1,20,17,54.05
1146,RAMECHHAP,18023,KALIKA MA VI LAKHANPUR,29.9,43.4,42.7,25.1,37.2,38.5,26,26,0,0,15,1,16,10,61.54
1147,RAMECHHAP,18024,KRISHNA BARNESHWAR MA VI MANPUR,23.2,39.7,32.3,25.4,40.1,35.5,62,62,0,0,22,2,24,38,38.71
1148,RAMECHHAP,18025,KAILESHWAR MA VI GUPTESHWAR,24.3,46.1,35.4,23.1,41.4,40.8,14,14,0,0,8,0,8,6,57.14
1149,RAMECHHAP,18026,KAMALA DEVI MA VI NAMADI,20.1,41.9,34.7,22.3,42.5,40.8,68,68,0,2,18,0,20,48,29.41
1150,RAMECHHAP,18027,JANATA MA VI KOLANJOR RAMPUR,15.3,36.1,28.5,22.4,40.8,33.7,40,39,0,0,7,1,8,31,20.51
1151,RAMECHHAP,18028,MA VI TILPUNG KATAHARE,17.4,37.3,27.2,16.9,37.1,39.5,37,37,0,0,5,0,5,32,13.51
1152,RAMECHHAP,18029,SURKE DEURALI MA VI DADUWA SURKE,19,41.3,32.3,16.7,41.3,35.7,27,27,0,0,5,0,5,22,18.52
1153,RAMECHHAP,18030,RUDRAKSHESHWAR MA VI MUGITAR BHATAULI,22.4,48.1,50.9,25,42.4,44.8,40,40,0,2,15,1,18,22,45
1154,RAMECHHAP,18031,CHANDESHWARI MA VI GOTHPANI,16.5,43,23.6,23.2,45.1,34.7,41,41,0,0,7,2,9,32,21.95
1155,RAMECHHAP,18032,BUDDHA BHAWANI MA VI MAKADUM,19.9,38.7,25.4,20.5,39.2,37,25,25,0,0,6,1,7,18,28
1156,RAMECHHAP,18033,BAL MA VI KHANIYAPANI BHIRKOT,21.6,43.1,31.5,19.5,46.7,43.6,19,19,0,0,3,0,3,16,15.79
1157,RAMECHHAP,18034,JHATTESHWAR MA VI DHOBI NAGDAHA,16.8,42.6,30.6,20.6,40.1,33,20,20,0,0,3,1,4,16,20
1158,RAMECHHAP,18035,STHANAPATI MA VI BANGESALLA,18.5,31.6,24.7,16.9,36.2,33.3,26,25,0,1,5,0,6,19,24
1159,RAMECHHAP,18036,BHRINGESHWAR MA VI BIJULIKOT,20.2,39.5,32.4,27.6,32.8,35.3,18,18,0,0,5,2,7,11,38.89
1160,RAMECHHAP,18038,BHARATEE MA VI MEGARPA BHADAURE,24.7,41.3,34.2,20.6,38.1,38.7,27,27,0,0,5,3,8,19,29.63
1161,RAMECHHAP,18039,SHIVALINGESWOR MA VI TAMCHET,14.9,31,7.5,13.9,30.1,29.5,8,8,0,0,0,0,0,8,0
1162,RAMECHHAP,18040,SHITALA DEVI MA VI DEURALI,27.3,37.2,37.5,30.4,42.8,38.7,31,31,0,1,20,2,23,8,74.19
1163,RAMECHHAP,18041,GOKUL GANGA MA VI RASNALU PATLE,31.3,50.6,39.2,29.6,42.8,40.1,19,19,0,1,13,1,15,4,78.95
1164,RAMECHHAP,18042,MANEDANDA MA VI PINGKHURI,19.5,35.5,27.5,16.7,37,37.9,15,15,0,0,0,0,0,15,0
1165,RAMECHHAP,18043,CHANDESHWORI MA VI PIPALCHAUR SAIPU,17.3,42.1,30.5,26.8,39.4,35.6,21,21,0,1,2,0,3,18,14.29
1166,RAMECHHAP,18044,KRISHNAPURI MA VI KHANIYAPANI RUPAKOT,25.6,43.6,32.7,22.3,42.9,43.6,14,14,0,0,6,1,7,7,50
1167,RAMECHHAP,18046,MAHALANGUR MA VI GUMDEL,29.3,38.1,40.7,26.9,39.6,36.2,16,16,0,1,7,3,11,5,68.75
1168,RAMECHHAP,18047,KALIDEVI MA VI POKHARI BHANJYANG,26.2,42,38.3,22.6,41.8,37.6,24,24,0,0,9,3,12,12,50
1169,RAMECHHAP,18048,MA VI RAKATHUM,18.1,39.9,34.6,18.6,36.6,43.2,14,14,0,0,2,1,3,11,21.43
1170,RAMECHHAP,18049,JATTESWORY MA VI CHUCHURE,35.2,51.4,35.5,28.4,44.6,41,13,13,0,1,9,0,10,3,76.92
1171,SINDHULI,19000,PRIVATE SINDHULI,24.3,29.6,24.1,22.1,33.1,29.9,35,35,0,0,3,6,9,26,25.71
1172,SINDHULI,19001,KAMALA MA VI DHUNGREBAS,21.2,36.3,28.5,24.5,31,27.2,51,50,0,3,6,5,14,36,28
1173,SINDHULI,19002,KUSHESHWAR VIDYAPITH MA VI DUMJA,28.4,41.5,34.1,26.6,40.4,31.9,54,54,0,2,21,10,33,21,61.11
1174,SINDHULI,19003,JANAJAGRITI MA VI BHIMAN,31.9,45.7,40.4,31,39.7,34,66,66,0,6,20,14,40,26,60.61
1175,SINDHULI,19004,PRAGATISHIL MA VI JHAGAJHOLI RATAMATA,23.4,39.8,29.9,22.4,39.2,34,111,111,0,4,20,9,33,78,29.73
1176,SINDHULI,19005,KAMALA MA VI BHALUWAHI,24.2,38.8,27,24.1,37.9,35.3,52,52,0,2,13,3,18,34,34.62
1177,SINDHULI,19006,JANAJYOTI MA VI KHURKOT,24.2,35.8,32.8,25.4,35.4,30,61,61,0,3,14,12,29,32,47.54
1178,SINDHULI,19007,BHAWANI MA VI BHIMSTHAN,20.3,36.5,36.6,27.3,34.1,33.6,64,64,0,0,15,3,18,46,28.13
1179,SINDHULI,19008,CHANDRAWATI MA VI BELGHARI,18.8,37.4,32.5,24.7,35.5,31.6,59,59,0,0,10,2,12,47,20.34
1180,SINDHULI,19009,KAUSHIKA MA VI GWALTAR,21.4,44.5,29,25.6,35.5,39,45,45,0,1,11,0,12,33,26.67
1181,SINDHULI,19010,BENKATESHWOR MA VI BAHUNTILPUNGA,21.4,39.9,27.7,28.8,31.4,37.6,48,48,0,0,16,4,20,28,41.67
1182,SINDHULI,19011,MA VI LADABHIR,24.9,41.3,21.9,20.8,37.8,32,70,70,0,0,16,4,20,50,28.57
1183,SINDHULI,19012,KAPILAKOT MA VI CHHAP,18.5,39.7,35.9,26.9,33.2,30.4,110,110,0,1,23,3,27,83,24.55
1184,SINDHULI,19013,JANAJAGARAN MA VI HARSHAHI,27.8,38.1,36.1,21.2,38.8,37.3,54,54,0,8,14,0,22,32,40.74
1185,SINDHULI,19014,GAUMATI MA VI MADI BAJAR,40.5,49.6,55.2,35.4,39,34.1,77,77,0,12,57,7,76,1,98.7
1186,SINDHULI,19015,CHANDESHORI MA VI MARIN DANDI,31.3,39.1,38.8,29.2,37.3,42.2,42,42,0,1,24,3,28,14,66.67
1187,SINDHULI,19016,GANESH MA VI MAJHUWA,19.2,36.3,34.5,27.7,32.7,27.4,59,59,0,2,6,8,16,42,27.12
1188,SINDHULI,19017,JAN JAGARITI MA VI NIBUWATAR,25.2,34.5,47.5,25.6,33,35.3,43,43,0,3,11,5,19,24,44.19
1189,SINDHULI,19018,NETRA KALI MA VI APADANDA,29,36.2,42.7,28.9,36.2,37.5,39,39,0,1,19,6,26,13,66.67
1190,SINDHULI,19019,SUNKOSHI MA VI SOKHUBESI,26.8,34.4,38.3,23.3,35.2,38.6,33,33,0,1,11,5,17,16,51.52
1191,SINDHULI,19020,SARASWATI MA VI DAKAHA,22,35,16.4,19.5,36.4,34.5,77,75,0,3,6,2,11,64,14.67
1192,SINDHULI,19021,JANATA MA VI MARIN BAKHAPHAR,22.1,36.5,27,20,31.4,37,26,26,0,2,2,1,5,21,19.23
1193,SINDHULI,19022,MA VI LAMPAN BATASE,20.5,36.5,28.2,25.9,28.4,29.7,65,65,0,0,9,5,14,51,21.54
1194,SINDHULI,19023,JANJYOTI MA VI PHOSHRETAR,25.7,41.4,27.5,26.8,38.3,34.1,88,88,0,5,18,2,25,63,28.41
1195,SINDHULI,19024,MA VI NAYAKHARKA,15.2,32,27.6,22.9,33.6,22,28,28,0,0,0,1,1,27,3.57
1196,SINDHULI,19025,MA VI MAJHUWA DOVAN,28.5,33.9,30.9,22.6,30.7,33.4,71,71,0,1,24,4,29,42,40.85
1197,SINDHULI,19026,JANATA MA VI CHANDANPUR,27.9,38.6,23.3,19,28.7,25.5,56,56,0,0,6,5,11,45,19.64
1198,SINDHULI,19027,PRABHAT MA VI MATHILOO RANIBAS,31.7,45.2,27.2,21.9,37.5,28.2,33,33,0,2,2,5,9,24,27.27
1199,SINDHULI,19028,SHANKARESHWAR MA VI MARIN JAKHANI,26.1,30.5,35.9,26.5,28.1,34.4,67,67,0,0,11,18,29,38,43.28
1200,SINDHULI,19029,MA VI LUMTI,27.1,35.9,27.8,20.5,32.7,33,29,29,0,0,8,1,9,20,31.03
1201,SINDHULI,19030,MA VI AMBOTE,24.4,31,31.2,19.6,32.8,35.3,36,36,0,0,8,5,13,23,36.11
1202,SINDHULI,19031,MA VI MARIN HAYUTAR BASTIPUR,27.1,41.8,36.2,27.4,37.8,41.4,19,19,0,0,6,5,11,8,57.89
1203,SINDHULI,19032,JALKANYA MA VI CHAPAULI,31.9,43.6,37.8,27.5,34.8,36.7,37,36,0,2,19,3,24,12,66.67
1204,SINDHULI,19033,KAMADA MA VI DUDBHANJYANG,18.2,33.4,16.2,19.3,28.2,22.7,21,21,0,0,3,1,4,17,19.05
1205,SINDHULI,19034,KALIKA MA VI DHAMILE JARAYOTAR,26.3,32.1,41.3,24.7,36.1,35.9,36,36,0,1,12,7,20,16,55.56
1206,SINDHULI,19035,DIRGHA PRADIP MA VI SHITTALPATI KHALTE CHAIN,22.2,33.8,24.9,23.9,34.4,29.1,57,56,0,2,11,6,19,37,33.93
1207,SINDHULI,19036,KYANESHWAR MA VI KYANKHOLA,16,29.8,23.2,24.9,32.5,33.9,35,35,0,0,4,2,6,29,17.14
1208,SINDHULI,19037,MA VI MAHADEVDANDA,21.5,28.8,50.9,23.5,35.3,34.7,18,18,0,0,4,1,5,13,27.78
1209,SINDHULI,19038,PHIKAL MA VI SOLPA BHANJYANG,12.2,21,29,15.8,29.2,32.5,21,21,0,0,2,0,2,19,9.52
1210,SINDHULI,19039,MA VI AMALE,29.5,34.5,36.1,27.7,33.4,38.7,24,24,0,1,11,3,15,9,62.5
1211,SINDHULI,19040,MA VI SIRTHAULI,17.1,30.9,14.9,14.2,26.4,29.3,73,71,0,0,8,3,11,60,15.49
1212,SINDHULI,19041,GANESH MA VI THAPATHUMKA,22.5,39.4,28.2,25,33.5,22.8,19,19,0,1,4,2,7,12,36.84
1213,SINDHULI,19042,PRAGATISHIL MA VI DHAMIDUMARIYA,26.1,43.7,24.6,22.1,41,33.4,43,43,0,1,12,0,13,30,30.23
1214,SINDHULI,19043,JANATA MA VI KHANIYAKHARK,19.8,44.2,38.8,29.1,36.7,30,18,18,0,0,9,0,9,9,50
1215,SINDHULI,19044,SINDHULI VIDYASHRAM ENGLISH BOARDING SCHO,56.1,60.7,76.7,38.7,57.9,55.5,10,10,0,9,1,0,10,0,100
1216,SINDHULI,19045,SARASWATI MA VI SHANKHATAR,17.4,29.7,14,12.7,24.8,27,102,101,0,1,6,3,10,90,9.9
1217,SINDHULI,19046,SHARADA MA VI BEKHTADI TINKANYA,19.6,36,16.1,24,29.1,30.4,8,8,0,0,2,0,2,6,25
1218,SINDHULI,19047,BHAGAWATI ENGLISH AWASIYA MA VI KAMALAMAI,64.7,64.5,88.8,43.7,64.8,60.1,14,14,2,12,0,0,14,0,100
1219,SINDHULI,19048,SIDDHASTHALI ENGLISH AWASIYA MA VI SINDHULI,M 62.2,58.8,84.7,45.7,64,54.5,45,45,4,39,2,0,45,0,100
1220,SINDHULI,19049,JANATA ENGLISH AWASIYA MA VI RATAMATA,57.6,47.1,77.2,40.3,55.2,50.8,31,31,0,24,7,0,31,0,100
1221,SINDHULI,19050,MA VI RATAMATA KHOLAGAUN,24.1,36.7,30.2,23.5,32.9,31.6,30,30,0,0,9,5,14,16,46.67
1222,SINDHULI,19052,SURYODAYA ENGLISH SCHOOL RATAMATA,67.2,63.7,80.1,46.3,68.4,60.6,9,9,0,9,0,0,9,0,100
1223,DHANUSHA,20000,PRIVATE DHANUSHA,20.2,33.8,17,21,26.2,30.7,48,47,0,0,2,1,3,43,6.38
1224,DHANUSHA,20001,SHANKAR MA VI DHANAUJI,18.2,30.4,25.1,21.8,24.7,31.2,45,45,0,0,5,0,5,40,11.11
1225,DHANUSHA,20002,JANAKI MA VI JANAKPURDHAM,25.6,36.5,31.4,24.4,39.3,33.1,56,55,0,2,18,0,20,35,36.36
1226,DHANUSHA,20003,SAKAL BHAWAN KANYA MA VI JANAKPURDHAM,17.5,33.1,15.3,16.1,35.3,22.9,106,105,0,2,3,0,5,100,4.76
1227,DHANUSHA,20004,BASUDEV MA VI BAHUARBA,18.3,32,30.3,22.7,26.1,31.3,35,35,0,0,8,1,9,26,25.71
1228,DHANUSHA,20005,GOGAL PRASAD MA VI BASAHIYA,28.3,30,38.8,20.7,29.6,43.5,22,22,0,0,8,0,8,14,36.36
1229,DHANUSHA,20006,K S H S B MA VI KHAJURI,20.4,36.5,37.8,26.8,39.7,40.9,31,31,0,1,6,0,7,24,22.58
1230,DHANUSHA,20007,MAHENDRA MA VI DHALKEWAR,19.3,31.9,21.8,22.7,40.6,34,62,62,0,2,5,2,9,52,14.52
1231,DHANUSHA,20008,JANATA MA VI DEBPURA,34.4,44.3,47.8,32,37.4,41.4,25,25,0,4,10,0,14,11,56
1232,DHANUSHA,20009,JAGRUP SAHA RAMPUKAR SAHA MA VI PARSURAM,17.8,24.7,22.9,14.7,23.2,21.6,45,45,0,1,3,0,4,41,8.89
1233,DHANUSHA,20010,SANKAT MOCHAN DEVSHARANRAMRATI MA VI,28.9,36.9,40.4,32,37.4,44.6,115,114,0,19,29,5,53,61,46.49
1234,DHANUSHA,20011,SARASWATI MA VI JANAKPURDHAM,23.8,37.3,33,30.1,33.7,39.9,204,201,0,9,53,4,66,135,32.84
1235,DHANUSHA,20012,KANTIRJHA MA VI BAVANGAMA,22.4,34,28.7,19.5,33.5,28.1,96,96,0,2,23,5,30,66,31.25
1236,DHANUSHA,20013,RAJESHWORNIDHI MA VI NAGARAIN,26.8,36.8,35.2,29.1,31.2,38.5,62,62,0,6,20,3,29,33,46.77
1237,DHANUSHA,20014,YADAV MA VI BELHI,16.4,35.6,21.7,18.9,25.2,29.6,70,70,0,0,7,0,7,63,10
1238,DHANUSHA,20015,LAXMINIYA JANATA MA VI KUMHARAUDA,37.2,43.2,57.8,26.2,33,48,5,5,0,2,2,0,4,1,80
1239,DHANUSHA,20016,BHANU MA VI KISANPUR,29.1,44.5,48.9,29.9,51.1,43,20,19,0,5,5,0,10,9,52.63
1240,DHANUSHA,20017,GANGA PRASAD MA VI THERA,25.2,38.3,33.9,24.3,36.2,32.4,36,35,0,4,9,1,14,21,40
1241,DHANUSHA,20018,BAIDYANATH DEVNARAYAN JANTA MA VI TULSIYAH,27.7,35.9,39.5,27.3,33.2,38,35,35,0,5,11,1,17,18,48.57
1242,DHANUSHA,20019,BHOLASING LIONS MITHILA MA VI,40.2,35.3,73.2,48.2,49.3,55.1,9,9,0,6,2,0,8,1,88.89
1243,DHANUSHA,20020,CHHIRESHWAR JANATA MA VI MAHENDRANAGAR,20.5,36.8,32.6,33.2,32.7,45.4,108,108,0,12,21,0,33,75,30.56
1244,DHANUSHA,20021,JANATA JAYSAWAL MA VI TALLOGODAR,16.6,26.8,21.5,16.1,26.1,21.1,69,46,0,1,14,0,15,29,32.61
1245,DHANUSHA,20022,SARBAJANIK MA VI BENGADABAR,22.8,40.8,30,27.4,38.8,43.8,154,154,0,17,32,3,52,102,33.77
1246,DHANUSHA,20023,JANATA MA VI BANINIYA GOPALPUR,14.8,32.7,16.1,20,26.5,30.5,46,46,0,1,2,0,3,43,6.52
1247,DHANUSHA,20024,SHIVASHAKTI MA VI BATESHWAR,25.9,41.7,21.3,18.5,34.1,34.1,80,80,0,2,16,1,19,61,23.75
1248,DHANUSHA,20025,SHANKAR JANATA MA VI CHAKKAR,22.5,35.1,48.2,31.1,41.2,35.9,15,15,0,0,7,1,8,7,53.33
1249,DHANUSHA,20026,SARASWATI MA VI BAPHAI,22.8,41.7,21.5,16.3,33.5,35.5,22,21,0,1,5,0,6,15,28.57
1250,DHANUSHA,20027,S N R JANATA MA VI DHABOULI,10.6,25.8,13.4,13.7,24.2,30.7,86,86,0,0,1,0,1,85,1.16
1251,DHANUSHA,20028,SHANKAR JANATA MA VI DUHABI GOBRAHI,22.1,37.6,22,13.9,32.2,31.7,21,20,0,0,3,0,3,17,15
1252,DHANUSHA,20029,FAKIRCHANDRA GAMI MA VI BARKURBA,12.4,29.9,21.8,18.2,30.6,25.1,59,59,0,1,4,0,5,54,8.47
1253,DHANUSHA,20030,JANATA EKAI MA VI YADUKUHA,23.3,42.2,37.4,24.9,38.7,33.5,78,78,0,2,25,6,33,45,42.31
1254,DHANUSHA,20031,BILAT BOUKU MA VI SAKHUWA MADAN,10.2,22.2,10.3,11.6,23,29.5,24,24,0,0,0,0,0,24,0
1255,DHANUSHA,20032,YANGYA BALKYA SAN MA VI GYANKUP,24.8,47.1,28.1,24.1,41.7,38.5,11,10,0,0,4,0,4,6,40
1256,DHANUSHA,20033,MITHILA TILAK NANDA KUMARI KARKI MA VI JHATIY,17.4,29.7,39.1,20.1,30.1,28.4,15,15,0,0,1,0,1,14,6.67
1257,DHANUSHA,20034,SARASWATI MA VI THILLA SABAILA,16.5,32.4,32.4,22.8,35.3,29.2,60,60,0,2,4,1,7,53,11.67
1258,DHANUSHA,20035,JANAKI SECONDARY BOARDING SCHOOL JANAKPU,58.3,54.4,73.7,51,60.4,50.8,44,44,3,40,1,0,44,0,100
1259,DHANUSHA,20036,JANATA MA VI SIMRADHIGADHI,22.2,35.3,29,24.5,36.9,28.9,50,49,0,1,13,1,15,34,30.61
1260,DHANUSHA,20037,JANATA MA VI GIDDHA BELAPATTI,13,30.2,21.4,15.8,28.6,35.2,27,27,0,1,1,0,2,24,7.41
1261,DHANUSHA,20038,JANATA MA VI NAKTAJHIJA,20.9,41.5,26.1,28,40.1,44.5,50,50,0,3,11,0,14,36,28
1262,DHANUSHA,20039,GIRIJA MA VI PHULGAMA BAHIRI,30.3,41,46.5,32.5,38.5,44.3,20,20,0,4,7,0,11,9,55
1263,DHANUSHA,20040,PRA MA VI KUMHARAUL RAMDAIYA,21.7,31.9,15.7,13.3,31.9,26.6,9,8,0,0,1,0,1,7,12.5
1264,DHANUSHA,20041,SHREE MA VI PARAWAHA DEURI,31,40,47.6,27.4,37.4,41.4,10,10,0,0,2,0,2,8,20
1265,DHANUSHA,20042,TAPASI BABA MA VI TILHI,21.1,40.2,37.8,25.9,36.4,30.9,12,12,0,0,0,0,0,12,0
1266,DHANUSHA,20043,BILATSHAH SARBODAYA MA VI SINURAJODA,14.4,22.4,16.5,12.6,21,17.2,57,57,0,0,1,2,3,54,5.26
1267,DHANUSHA,20044,TRIBHUWAN ADARSHA MA VI BINDI,23.4,37.6,26.4,21.4,42.1,28,25,25,0,2,1,0,3,22,12
1268,DHANUSHA,20045,RAJSHREE JANAK MA VI KURTHA,14.7,19.5,9.3,17.7,22.7,33.3,35,35,0,0,0,1,1,34,2.86
1269,DHANUSHA,20046,MA VI PRITPUR PARVAT,14.7,29.3,19.5,15.1,31,25.3,57,57,0,0,2,0,2,55,3.51
1270,DHANUSHA,20047,SIDDHARTHA SHISHUSADAN BOARDING MA VI,53,48,73.6,51.1,70.2,45.6,140,140,6,118,13,0,137,3,97.86
1271,DHANUSHA,20048,RAM JANAKI MA VI KUSHMAHA,16.9,30.6,32.5,23.9,29.6,33.1,38,38,0,0,8,0,8,30,21.05
1272,DHANUSHA,20049,MOON LIGHT SECONDARY ENGLISH SCHOOL KADA,47.6,42.5,69.4,41.6,53.3,49.2,10,10,0,5,2,0,7,3,70
1273,DHANUSHA,20050,MONASTIC SECONDARY ENGLISH SCHOOL JANAKP,58.8,63.2,73.1,50.5,69.6,49.3,67,66,14,46,2,0,62,4,93.94
1274,DHANUSHA,20051,DHANUSH JANATA MA VI DHANUSHADHAM,22.9,35.5,25.4,20.2,38.6,29.8,30,30,0,0,2,0,2,28,6.67
1275,DHANUSHA,20052,MA VI MULABARI BHIMAN DHARAPANI,25.2,39.1,34.4,32.9,32.8,44,46,44,0,4,12,1,17,27,38.64
1276,DHANUSHA,20053,DEURALI MA VI CHURECHANDANI CHOWK,24.1,38.6,30.6,34,33.4,44.7,38,36,0,2,12,1,15,21,41.67
1277,DHANUSHA,20054,NEW ENGLISH BOARDING SCHOOL JANAKPURDHA,53.1,53.4,78.3,43.5,58.2,46.4,56,56,3,50,2,0,55,1,98.21
1278,DHANUSHA,20055,SOUTH POINT ENGLISH BOARDING SCHOOL JANAK,50.7,57.5,58.3,40.3,61.2,43,38,38,0,22,7,0,29,9,76.32
1279,DHANUSHA,20056,B P KOIRALA MA VI SAPAHI,31.2,47.9,36.5,27.5,35.7,41.9,23,23,0,2,10,3,15,8,65.22
1280,DHANUSHA,20058,MOTHER TERESA PUBLIC SCHOOL JANAKPURDHA,M 53.6,57,64.1,41.7,67.8,52.9,46,46,0,35,9,0,44,2,95.65
1281,DHANUSHA,20059,GYAN MANDIR ENGLISH AWASIYA MA VI SAKHUWA,46.5,53.1,46.7,30.5,49.2,50.7,33,33,0,11,13,0,24,9,72.73
1282,DHANUSHA,20060,SARBODAYA SECONDARY ENGLISH BOARDING SCH,33.6,42.8,52.5,31,48.4,39.5,17,15,0,7,8,0,15,0,100
1283,DHANUSHA,20061,DHANUSHA PUBLIC SECONDARY ENGLISH BOARDI,46.1,48,65.9,41.4,49.9,49,32,32,0,17,11,0,28,4,87.5
1284,DHANUSHA,20062,JANATA MA VI KAJARA RAMAUL,17.8,33.7,35,21.3,33.8,31.4,25,25,0,0,4,1,5,20,20
1285,DHANUSHA,20063,DAFFODILS PUBLIC SCHOOL VIDYAPATICHOWK,50.2,54,76.9,41.5,59.5,40.5,26,26,0,20,6,0,26,0,100
1286,DHANUSHA,20064,MA VI MAHULIYA,15.2,27.7,13.8,12,25.8,22.3,6,6,0,0,0,0,0,6,0
1287,DHANUSHA,20065,MODEL PUBLIC SCHOOL JANAKPUR,58.7,50.3,80.7,41.9,54,48.4,18,18,1,16,1,0,18,0,100
1288,DHANUSHA,20066,MA VI THADHI JHIJHA,14,26.3,15.1,16.3,27.2,32.9,30,30,0,0,1,0,1,29,3.33
1289,DHANUSHA,20067,HOLY CROSS HIGH SCHOOL JANAKPURDHAM,39.4,54.7,46.2,27.4,44.6,45.5,47,47,1,14,11,1,27,20,57.45
1290,DHANUSHA,20068,ARNIKO SECONDARY BOARDING SCHOOL JANAKPU,36.5,36.4,48.7,29.5,37.4,43.6,15,15,0,0,9,0,9,6,60
1291,DHANUSHA,20069,ST. XAVIER'S HIGH SCHOOL SAKETNAGAR BARAHB,50.8,47.4,79.9,46.1,51.6,57,8,8,0,7,0,0,7,1,87.5
1292,DHANUSHA,20070,MORNING STAR HIGH SCHOOL RAMANANDCHOWK,58.3,63.3,73.2,40.5,60,52.8,6,6,0,5,1,0,6,0,100
1293,DHANUSHA,20071,MORNING GLORY ENGLISH MEDIUM SCHOOL JANA,47.9,43.8,59.8,47.6,46,52.5,8,8,0,5,3,0,8,0,100
1294,DHANUSHA,20072,MA VI BAGHACHAURA,32,46.6,35.3,28.9,43.2,41.9,10,10,0,2,4,0,6,4,60
1295,DHANUSHA,20073,ANGELS' ENGLISH BOARDING SCHOOL SAKETNAGA,43.6,35.7,68.9,43,47.2,49.3,27,27,0,13,11,0,24,3,88.89
1296,DHANUSHA,20074,SHISHU PRAGYA SADAN SECONDARY ENGLISH SC,59.4,57.9,60,47.5,57,53.5,12,12,3,4,3,0,10,2,83.33
1297,DHANUSHA,20075,GALAXY ENGLISH BOARDING SCHOOL JANAKPURD,42.6,35.4,62.5,35.4,36.3,38.5,8,6,0,5,1,0,6,0,100
1298,DHANUSHA,20076,SHREE RAM SECONDARY SCHOOL JANAKPURDHA,M    32,41,36.6,30.4,44.6,36,107,106,0,20,37,3,60,46,56.6
1299,DHANUSHA,20079,EUREKA ENGLISH BOARDING SCHOOL JANAKPURD,39.8,45.3,37,35.8,37.3,47.3,4,4,0,0,1,0,1,3,25
1300,DHANUSHA,20080,VINAYAK ENGLISH BOARDING SCHOOL DHANUSHA,41.3,52.7,57,35.7,58.8,46.7,41,41,0,21,13,0,34,7,82.93
1301,DHANUSHA,20081,MA VI AURAHI JANAKPURDHAM,25.8,39.2,27.1,14.6,30,31.6,26,26,0,0,3,0,3,23,11.54
1302,DHANUSHA,20082,GOUREE ENGLISH BOARDING SCHOOL JANAKPURD,61.1,58.4,64.3,54.9,54,52.6,9,9,0,7,2,0,9,0,100
1303,DHANUSHA,20083,"CHILDREN HOLY PLACE, JANAKPURDHAM 9",54.9,47,55.9,38.1,58.5,56.6,8,8,0,5,2,0,7,1,87.5
1304,DHANUSHA,20084,GANGOTRI ENGLISH BOARDING SCHOOL HARIHAR,P 58.5,52.5,71,48,52,58,2,2,0,2,0,0,2,0,100
1305,DHANUSHA,20085,HAPPY LAND ENGLISH BOARDING SCHOOL JANAKP,41.8,40,30.3,27.4,38.8,41.8,12,12,0,0,5,1,6,6,50
1306,DHANUSHA,20086,HIMALI BOARDINGH SCHOOL JANAKPURDHAM 11,54.2,59.8,72.9,34.3,55.2,51.9,10,10,0,8,2,0,10,0,100
1307,DHANUSHA,20087,NOBLE SEC ENGLISH BOARDINGH SCHOOL JANAKP,54.3,52.6,65.1,46.1,66.6,43,9,9,0,8,1,0,9,0,100
1308,DHANUSHA,20088,SARASWATI ENGLISH BOARDING SCHOOL MAHEND,34.5,40.6,40.9,26.6,35.8,36,8,5,0,5,0,0,5,0,100
1309,DHANUSHA,20089,MODERN ENGLISH SECONDARY BOARDING SCHOO,32.2,37.7,47.8,39.9,46.7,38.2,16,16,0,2,9,0,11,5,68.75
1310,MAHOTTARI,21000,PRIVATE MAHOTTARI,20.9,40.5,46.9,24.9,30,44.1,14,14,0,0,3,1,4,10,28.57
1311,MAHOTTARI,21001,DURGA MA VI MANARA,22.7,28.9,34.2,20.2,39.4,31.6,52,52,0,2,10,2,14,37,26.92
1312,MAHOTTARI,21002,RAM NARAYAN AYODHYA MA VI PIPARA,30,36.7,45.8,24.5,38.5,32.6,109,109,0,8,41,6,55,53,50.46
1313,MAHOTTARI,21003,BHAI GU LO MA VI BATHANAHA,22.5,36.5,36.6,23.8,35.9,29.8,32,32,0,1,11,0,12,20,37.5
1314,MAHOTTARI,21004,MAHENDRA ADARSHA MAHILA MA VI JALESHWAR,26,39.2,30.9,21.7,38,33.5,70,70,0,2,9,1,12,58,17.14
1315,MAHOTTARI,21005,BHERUKHI MA VI LOHARPATTI,30.7,40.6,42.4,30.9,46.1,37.4,25,25,0,3,11,0,14,11,56
1316,MAHOTTARI,21006,RA SA MA VI MAHOTTARI,22.9,42.4,48.6,24.6,40.4,32.3,34,34,0,3,11,0,14,20,41.18
1317,MAHOTTARI,21007,JANATA MA VI BARDIBAS,33.6,41.2,46,28.5,48.6,35.2,46,45,0,3,33,2,38,7,84.44
1318,MAHOTTARI,21008,JANTA MA VI BANAUTA,22.1,32,38.9,29.7,41.4,32,41,41,0,2,12,0,14,27,34.15
1319,MAHOTTARI,21009,RAJAKIYA SAN MA VI MATIHANI,32,43.8,35.1,31,43.4,59.7,12,12,0,0,7,0,7,5,58.33
1320,MAHOTTARI,21010,LAXMICHANDI MURARKA MA VI JALESHWAR,27.8,41.9,36.1,24.6,40.2,46.4,83,82,0,8,31,0,39,43,47.56
1321,MAHOTTARI,21011,YOG KUMAR MA VI BALABA SARPALLO,19,31.5,31.2,24.6,37.4,31.6,95,95,0,3,16,4,23,72,24.21
1322,MAHOTTARI,21012,SHONPHI DASHAIN MA VI SHRIPUR,30.8,44.1,48.6,27.9,38.5,32.5,28,28,0,0,13,3,16,12,57.14
1323,MAHOTTARI,21013,RAMBATI JAGDEV JANTA MA VI BAGADA,26.4,43.6,45.2,30.9,41.9,40.5,17,17,0,1,6,0,7,10,41.18
1324,MAHOTTARI,21014,LAXMI NARAYAN JANATA MA VI KHAYARMARA,35,47.5,35.1,25.4,40.6,46.4,55,55,0,3,22,0,25,30,45.45
1325,MAHOTTARI,21015,MA VI KHUTTA PIPARADHI,24.2,36,39.9,27.3,35.3,38.5,26,26,0,1,8,3,12,14,46.15
1326,MAHOTTARI,21016,PANCHADHURA MA VI CHERU MAISHTHAN,35.3,48.3,40.3,32.8,39.2,40.6,55,55,0,4,35,3,42,13,76.36
1327,MAHOTTARI,21017,SARASWATI MA VI THARUAAHI,20.9,38.4,44.9,28.9,38.3,39.2,27,27,0,0,9,1,10,17,37.04
1328,MAHOTTARI,21018,TRIBHUVAN MA VI GOUSHALA BAZAR,28.1,40.7,40.4,30.6,33,41.8,94,94,0,6,38,4,48,46,51.06
1329,MAHOTTARI,21019,PRASAD SINGH MA VI AOURAHI NAINIGOURI,33.1,44,48.1,29.5,45,40.4,45,45,0,5,27,2,34,11,75.56
1330,MAHOTTARI,21020,SARASWATI JANATA MA VI SONAMA TARHARI,31.4,38.6,39.5,26.8,39.2,33.2,33,33,0,3,9,5,17,15,51.52
1331,MAHOTTARI,21021,MA VI BHANGAHA SITAPUR,43.6,53.4,63.9,40.9,47.3,44.1,8,8,0,3,3,0,6,2,75
1332,MAHOTTARI,21022,JANATA MA VI BHARATPUR KHOR,39,44.3,48.5,29.5,43.6,42.1,50,50,0,6,32,0,38,12,76
1333,MAHOTTARI,21023,KISHORI JANATA MA VI HARIHARPUR HARINAMRI,19.6,39.2,30.1,20.8,32.6,31.4,24,24,0,0,5,1,6,18,25
1334,MAHOTTARI,21024,JANATA MA VI KOLHUWA BAGEYA,24.7,39.6,29.3,22.4,35.3,40.5,22,22,0,0,6,2,8,14,36.36
1335,MAHOTTARI,21025,JANTA MA VI DANDATOL BIJALPURA,36.1,45.7,36.7,27.3,35.7,37.8,57,57,0,3,28,3,34,23,59.65
1336,MAHOTTARI,21026,MA VI BASBITTI BASANTAPUR,34,43.6,49,26.1,32.2,39.5,27,27,0,2,16,2,20,6,74.07
1337,MAHOTTARI,21027,RAM MA VI MATIHANI,30.7,37.1,43.2,32.8,40.4,33.8,45,45,0,5,5,1,11,34,24.44
1338,MAHOTTARI,21028,JANA JAGRIT MA VI PATU,31.4,45.8,40,29.8,39.3,40.3,43,43,0,3,28,3,34,9,79.07
1339,MAHOTTARI,21029,RAM DEO JANATA MA VI BHRAMARPURA,28.5,38.3,41.5,30.3,40.5,40.6,55,55,0,4,15,4,23,32,41.82
1340,MAHOTTARI,21030,ADARSHA MA VI RATAULI,22,36.5,22.9,18.3,38.2,37.9,20,20,0,1,3,0,4,16,20
1341,MAHOTTARI,21031,MAHENDRA RASTRIYA MA VI RAMGOPALPUR,18.9,32.1,42.7,21.9,31,36,47,47,0,1,8,2,11,36,23.4
1342,MAHOTTARI,21032,JANTA MA VI MADAI,35.3,39.4,45.8,28.2,34.7,35.1,23,23,0,3,5,2,10,13,43.48
1343,MAHOTTARI,21033,JANATA MA VI PIGAUNA,32.4,46.3,39.9,28.5,42.6,44.7,12,12,0,2,4,0,6,6,50
1344,MAHOTTARI,21034,MA VI HATHILET,30.5,41.8,35.3,25.2,37,37.6,72,72,0,1,22,6,29,43,40.28
1345,MAHOTTARI,21035,MA VI BAKHARIBHATH,22.9,35.1,24.1,14.8,38.5,39,21,21,0,0,6,0,6,15,28.57
1346,MAHOTTARI,21036,MA VI PARSA PATAILI,20.5,40,26,25,39.7,43.5,25,25,0,0,9,0,9,16,36
1347,MAHOTTARI,21037,ADVANCED LEARNER'S HIMALAYAN ENGLISH AWAS,56.2,51.2,72,47.4,63.5,53.2,31,31,0,27,3,0,30,1,96.77
1348,MAHOTTARI,21038,SHUKDEV MA VI SUGA,35.3,36.1,35,31.8,38.2,35.3,18,17,0,3,1,0,4,13,23.53
1349,MAHOTTARI,21039,MUNSIF MA VI SANDHA,15.2,22.5,24.7,12.9,23.8,25.1,19,19,0,0,1,0,1,18,5.26
1350,MAHOTTARI,21040,MA VI EKDARA BELA,19.4,34.9,37.3,18.7,31.7,26.7,48,48,0,1,6,3,10,38,20.83
1351,MAHOTTARI,21041,MA VI KHA

## zfstat-063 reformatted.csv

      
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	<p><link href="http://kevinburke.bitbucket.org/markdowncss/markdown.css" rel="stylesheet"></link></p>

	How to make choropleth maps with R
	========================================================

	There are many tools to make choropleths out there, each offering various levels of difficulty, and with various advantages. There are [cartodb](http://cartodb.com/) and [mapbox](http://mapbox.com) which are great for creating server-"baked" tilesets, [leaflet](http://leafletjs.com) and [d3.js](http://d3js.org) for making client-side visualizations with html, css, and javascript. My favorite, particularly at the prototyping stage, however, continues to be R and [ggplot2](http://ggplot2.org/). The awesome thing with R choropleths are that, with some practice:

	* They are the fastest to prototype and iterate on.
	* You are making maps within the R environment, so prototyping not just the look of the map, but also what data feeds into the map, become super easy.

	With that introducation, let us begin.
	(Might as well install the full list of packages used in this example at this point--type `install.packages(c("plyr", "ggplot2","rgeos", "maptools")))` in your R window).

	The data we will be mapping today
	---------------------------------
	I started this exercise with a dataset from Nepal's [Office of the Controller of Examinations](http://soce.gov.np/), which shows pass / fail percentages and some other data for the SLC ["School-Leaving Certificate"](http://en.wikipedia.org/wiki/School_Leaving_Certificate_(Nepal)) in Nepal, a national examination that takes place at the end of 10th grade. The data is for the Nepali years 2062 and 2063 (2062 is mid-April 2005 to April 2006, 2063 is 2006-7), because those are the only [digital versions](http://soce.gov.np/school-performance/) accessible to us.

	Acrobat was able to scan these pdfs into Excel files for us, which we lightly cleaned up to produce the dataset that you can also find in [this repository](https://gist.github.com/prabhasp/5030005).

	```{r}
	# READ IN DATA
	edu63 <- read.csv("~/Downloads/fstat-063 reformatted.csv")

	# WHAT COLUMNS DO WE HAVE?
	library(plyr)
	colwise(class)(edu63)
	# more detailed output of "structure" can be gotten with str(edu62), I'm using
	# the above code to have a more concise output
	```

	So, basically, what we have are data, by school (with school code and name), as well as by district, the total number of students, and number of folks passing various subjects, as well as the column we'll look at deeply here PASS.PERCENT, or percentage of students attending the exams who passed the SLC.

	Okay, now to get some maps. [GADM.org](http://gadm.org) is a great resource for administrative boundaries of countries around the world--I will go ahead and download the "Admin Boundary Level 3" shapefiles for Nepal from GADM, which correspond to districts we have in the dataset.

	Loading the map up
	------------------
	Next, we load the map into R. To do this, we'll use the `maptools` packages, which also needs rgeos installed. You might want to install these by doing `install.packages(c("rgeos", "gpclib", "maptools", "sp"))` (I've included the sp package while we're at it--this is a package that provides map represnetations shared by many other packages.)

	```{r fig.width=10,fig.height=5}
	library(rgeos)
	library(maptools)
	library(gpclib) # may be needed, may not be

	# MAP
	np_dist <- readShapeSpatial("~/Downloads/NPL_adm/NPL_adm3.shp")
	# VERIFY IT LOADED PROPERLY
	plot(np_dist)
	```


	Choropleth iteration I
	----------------------
	We'll now generate our first choropleth--which will need plenty of revision--just to demonstrate the method in ggplot2! The method is to first [fortify](http://docs.ggplot2.org/0.9.2.1/fortify.sp.html) the map object we have read in, where we provide to ggplot the name of a region (for us, this is district, ie, `NAME_3` for admin level 3). We'll also go ahead and uppercase the name of the districts because that is how our data names districts, and just try and produce something.

	```{r fig.width=10,fig.height=5}
	library(ggplot2)
	np_dist <- fortify(np_dist, region="NAME_3")
	np_dist$id <- toupper(np_dist$id) #change ids to uppercase
	ggplot() +
	geom_map(data = edu63, aes(map_id=District, fill=PASS.PERCENT),
	map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat)
	```
	If you look at that command in detail, you'll notice that there isn't much there; we are passing in the data, saying that the "District" column should be mapped to the map's ids (which are districts), specifying the map source, and making sure that the boundaries are correct.

	Of course, the map looks horrible right now. There are three major issues with it:

	1. there is missing data!
	1. its not that pretty right now
	1. i'm not sure what data we are plotting

	So lets deal with each in reverse order.

	Mapping the right data
	----------------------
	Our dataset is not a dataset with a row per district, it is a dataset with a row per school. To make sure that we are mapping the right data, we should summarize our data by district, and then map this aggregated data. I like to use `ddply` for this kind of stuff, which you should read about [here](http://plyr.had.co.nz/) if you'd like.

	``````{r fig.width=10,fig.height=5}
	# Take the mean of PASS.PERCENT by District
	districtpassavg63 <- ddply(edu63, .(District), summarize,
	PassMean63 = mean(PASS.PERCENT))
	# Same plot, but use the right dataset and fill parameter
	ggplot() +
	geom_map(data = districtpassavg63, aes(map_id=District, fill=PassMean63),
	map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat)

	```


	Making it prettier
	------------------
	`ggplot` allows pretty fancy colorations to be applied to the map. For this example, I think a divergent color scheme works perfectly. [After some reading of ggplot docs](http://docs.ggplot2.org/0.9.3/scale_gradient2.html), the solution for this is quite easy.

	```{r fig.width=10,fig.height=5}
	ggplot() +
	geom_map(data = districtpassavg63, aes(map_id=District, fill=PassMean63),
	map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat) +
	scale_fill_gradient2(low=muted("red"), mid="white", midpoint=50, high=muted("blue"), limits=c(0,100))
	```

	Dealing with missing data
	-------------------------
	And finally, we come to the most annoying problem, that of missing data. This is a pretty common problem, and comes from the fact that we are matching our dataset to the gadm map using the district name. The two datasets are using different spellings, and this is causing some of the data to be mismatched. Dealing with this kind of mismatch is a pain, and the best solution is usually dependent on the datasets themselves. Here, let us just start by inspecting what is not matching.

	```{r}
	namesInData <- levels(edu63$District)
	namesInMap <- levels(factor(np_dist$id))

	namesInData[which(!namesInData %in% namesInMap)]
	namesInMap[which(!namesInMap %in% namesInData)]
	```

	The spelling differences are pretty minor, and thankfully, towards the ends of words. In this case, that means that we can take advantage of alphabetization to solve the problem easily; we'll just re-assign the "levels" of the districts in the data to those of the map, and try the graph now. Note that this may or may not work for your dataset, you may need to resort to anything ranging from find-and-replace in your dataset to name things according to the map, renaming your map admin levels by hand to match your data, or putting in a third "id" parameter that matches between map and data--this is where your data creativeness needs to step in :)

	```{r fig.width=10,fig.height=5}
	levels(districtpassavg63$District) <- levels(factor(np_dist$id))
	ggplot() +
	geom_map(data = districtpassavg63, aes(map_id=District, fill=PassMean63),
	map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat) +
	scale_fill_gradient2(low=muted("red"), mid="white", midpoint=50, high=muted("blue"), limits=c(0,100))
	```

	The power of doing this in R -- What about 2062? Or the difference?
	----------------------------
	Of course, the power of doing this in R is that this work is easily repeatable, and we can apply what we did above with just a couple of lines to a new dataset, 2062 data.

	```{r fig.width=10,fig.height=5}
	edu62 <- read.csv("~/Downloads/fstat-062 reformatted.csv")
	levels(edu62$District) <- levels(factor(np_dist$id))
	districtpassavg62 <-ddply(edu62, .(District), summarize,
	PassMean62 = mean(PASS.PERCENT))
	ggplot() +
	geom_map(data = districtpassavg62, aes(map_id=District, fill=PassMean62),
	map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat) +
	scale_fill_gradient2(low=muted("red"), mid="white", midpoint=50, high=muted("blue"), limits=c(0,100))
	```

	Beautiful. Looks like a lot of change... can we see exactly what changed between the two years? (Notice that midpoint and range have to be changed here.)
	```{r fig.width=10,fig.height=5}
	districtavg <- merge(districtpassavg62, districtpassavg63, by="District")
	districtavg$delta <- districtavg$PassMean63 - districtavg$PassMean62

	ggplot() +
	geom_map(data = districtavg, aes(map_id=District, fill=delta),
	map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat) +
	scale_fill_gradient2(low=muted("red"), mid="white", midpoint=0, high=muted("blue"), limits=c(-20,60))
	```
	Wow, looks like there was significant change in the eastern part of the country, as well as the far west, and at least one district west of center!

	Final bonus: district names on the map!
	--------------------------------------
	But but... which districts are changing? Lets put some district names on the map. Again, here is where we appreciate R's generic data and plotting libraries... we can do this by basically making a dataset that creates centroids per district, and map a layer of text onto this map using that district-centers dataset.
	```{r fig.width=16,fig.height=8}
	distcenters <- ddply(np_dist, .(id),
	summarize, clat = mean(lat), clong = mean(long))
	ggplot() +
	geom_map(data = districtavg, aes(map_id=District, fill=delta), map=np_dist) +
	expand_limits(x=np_dist$long, y=np_dist$lat) +
	scale_fill_gradient2(limits=c(-20,60), low=muted("red"), mid="white",
	midpoint=0, high=muted("blue")) +
	geom_text(data=distcenters, aes(x=clong, y=clat, label=id, size=0.2))
	```

	Not perfect, but not bad, for an 20 lines of code (if I don't count purely demonstrational code) or so of interactive prototyping!