<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>chol</th>
      <th>stab.glu</th>
      <th>hdl</th>
      <th>chol hdl ratio</th>
      <th>glyhb</th>
      <th>location</th>
      <th>age</th>
      <th>gender</th>
      <th>height</th>
      <th>weight</th>
      <th>frame</th>
      <th>bp.1s</th>
      <th>bp.1d</th>
      <th>bp.2s</th>
      <th>bp.2d</th>
      <th>waist</th>
      <th>hip</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1000</td>
      <td>203</td>
      <td>82</td>
      <td>56</td>
      <td>3.6</td>
      <td>4.3</td>
      <td>Buckingham</td>
      <td>46</td>
      <td>female</td>
      <td>62.0</td>
      <td>121.0</td>
      <td>medium</td>
      <td>118.0</td>
      <td>59.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>29.0</td>
      <td>38.0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1001</td>
      <td>165</td>
      <td>97</td>
      <td>24</td>
      <td>6.9</td>
      <td>4.4</td>
      <td>Buckingham</td>
      <td>29</td>
      <td>female</td>
      <td>64.0</td>
      <td>218.0</td>
      <td>large</td>
      <td>112.0</td>
      <td>68.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>46.0</td>
      <td>48.0</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1002</td>
      <td>228</td>
      <td>92</td>
      <td>37</td>
      <td>6.2</td>
      <td>4.6</td>
      <td>Buckingham</td>
      <td>58</td>
      <td>female</td>
      <td>61.0</td>
      <td>256.0</td>
      <td>large</td>
      <td>190.0</td>
      <td>92.0</td>
      <td>185</td>
      <td>92.0</td>
      <td>49.0</td>
      <td>57.0</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1003</td>
      <td>78</td>
      <td>93</td>
      <td>12</td>
      <td>6.5</td>
      <td>4.6</td>
      <td>Buckingham</td>
      <td>67</td>
      <td>male</td>
      <td>67.0</td>
      <td>119.0</td>
      <td>large</td>
      <td>110.0</td>
      <td>50.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>33.0</td>
      <td>38.0</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1005</td>
      <td>249</td>
      <td>90</td>
      <td>28</td>
      <td>8.9</td>
      <td>7.7</td>
      <td>Buckingham</td>
      <td>64</td>
      <td>male</td>
      <td>68.0</td>
      <td>183.0</td>
      <td>medium</td>
      <td>138.0</td>
      <td>80.0</td>
      <td>0</td>
      <td>NaN</td>
      <td>44.0</td>
      <td>41.0</td>
    </tr>
  </tbody>
</table>
</div>

     id  chol  stab.glu  hdl  chol hdl ratio glyhb    location  age  gender  \
0  1000   203        82   56             3.6   4.3  Buckingham   46  female   
1  1001   165        97   24             6.9   4.4  Buckingham   29  female   
2  1002   228        92   37             6.2   4.6  Buckingham   58  female   
3  1003    78        93   12             6.5   4.6  Buckingham   67    male   
4  1005   249        90   28             8.9   7.7  Buckingham   64    male   

   height  weight   frame  bp.1s  bp.1d bp.2s  bp.2d  waist   hip  
0    62.0   121.0  medium  118.0   59.0   NaN    NaN   29.0  38.0  
1    64.0   218.0   large  112.0   68.0   NaN    NaN   46.0  48.0  
2    61.0   256.0   large  190.0   92.0   185   92.0   49.0  57.0  
3    67.0   119.0   large  110.0   50.0   NaN    NaN   33.0  38.0  
4    68.0   183.0  medium  138.0   80.0     0    NaN   44.0  41.0  

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What are the age demographics of diabetes patients?