OTableR/anno/en_21_who.html

Summary of SDG 3 indicators for which country-level values are reported as comparable \[estimates^{a}\]

<table>
 <thead>
  <tr>
   <th>
    Member State
   </th>
   <th>
    3.1.1
    <br>
    Maternal mortality \[ratio^{b}\]
    <br>
    2017
   </th>
   <th>
    3.2.1
    <br>
    Under-five mortality \[rate^{c}\]
    <br>
    2018
   </th>
   <th>
    3.2.2
    <br>
    Neonatal mortality \[rate^{c}\]
    <br>
    2018
   </th>
   <th>
    3.3.1
    <br>
    New HIV \[infections^{d}\]
    <br>
    2018
   </th>
   <th>
    3.3.2
    <br>
    Tuberculosis \[incidence^{e}\]
    <br>
    2018
   </th>
   <th>
    3.3.3
    <br>
    Malaria \[incidence^{f}\]
    <br>
    2018
   </th>
   <th>
    3.3.4
    <br>
    Hepatitis B \[prevalence^{g}\]
    <br>
    2015
   </th>
   <th>
    3.4.1
    <br>
    Probability of dying from the
    <br>
    four maior \[NCDs^{h}\]
    <br>
    2016
   </th>
   <th>
    3.4.2
    <br>
    Suicide mortality \[rate^{e}\]
    <br>
    2016
   </th>
   <th>
    3.5.2
    <br>
    Alcohol consumption
    <br>
    2018
   </th>
   <th>
    3.6.1
    <br>
    Road traffic mortality \[rate^{e}\]
    <br>
    2016
   </th>
   <th>
    3.8.1
    <br>
    UHC service coverage index
    <br>
    2017
   </th>
   <th>
    3.9.1
    <br>
    Air pollution mortality \[rate^{j}\]
    <br>
    2016
   </th>
   <th>
    3.9.2
    <br>
    WASH mortality \[rate^{e}\]
    <br>
    2016
   </th>
   <th>
    3.9.3
    <br>
    Poisoning mortality \[rate^{e}\]
    <br>
    2016
   </th>
   <th>
    3.a.1
    <br>
    Tobacco use \[prevalence^{k}\]
    <br>
    2018
   </th>
   <th>
    3.b.1
    <br>
    DTP3 \[immunization^{l}\]
    <br>
    2018
   </th>
   <th>
    3.b.1
    <br>
    MCV2 \[immunization^{m}\]
    <br>
    2018
   </th>
   <th>
    3.b.1
    <br>
    PCV3 \[immunization^{l}\]
    <br>
    2018
   </th>
   <th>
    3.b.1
    <br>
    Hpv \[vaccine^{n}\]
    <br>
    2018
   </th>
  </tr>
 </thead>
 <tbody>
  <tr>
   <td>
    Bangladesh
   </td>
   <td>
    173
   </td>
   <td>
    30
   </td>
   <td>
    17
   </td>
   <td>
    0.01
   </td>
   <td>
    221
   </td>
   <td>
    0.7
   </td>
   <td>
    1.38
   </td>
   <td>
    21.6
   </td>
   <td>
    5.9
   </td>
   <td>
    &lt;0.1
   </td>
   <td>
    15.3
   </td>
   <td>
    48
   </td>
   <td>
    149.0
   </td>
   <td>
    11.9
   </td>
   <td>
    0.3
   </td>
   <td>
    39.1
   </td>
   <td>
    98
   </td>
   <td>
    93
   </td>
   <td>
    97
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    Bhutan
   </td>
   <td>
    183
   </td>
   <td>
    30
   </td>
   <td>
    16
   </td>
   <td>
    0.11
   </td>
   <td>
    149
   </td>
   <td>
    &lt;0.1
   </td>
   <td>
    0.81
   </td>
   <td>
    23.3
   </td>
   <td>
    11.4
   </td>
   <td>
    0.4
   </td>
   <td>
    17.4
   </td>
   <td>
    62
   </td>
   <td>
    124.5
   </td>
   <td>
    3.9
   </td>
   <td>
    0.6
   </td>
   <td>
   </td>
   <td>
    97
   </td>
   <td>
    91
   </td>
   <td>
   </td>
   <td>
    90
   </td>
  </tr>
  <tr>
   <td>
    Democratic People's Republic of Korea
   </td>
   <td>
    89
   </td>
   <td>
    18
   </td>
   <td>
    10
   </td>
   <td>
   </td>
   <td>
    513
   </td>
   <td>
    0.4
   </td>
   <td>
    0.53
   </td>
   <td>
    25.6
   </td>
   <td>
    11.2
   </td>
   <td>
    3.8
   </td>
   <td>
   </td>
   <td>
    71
   </td>
   <td>
    207.2
   </td>
   <td>
    1.4
   </td>
   <td>
    9
   </td>
   <td>
    18.8
   </td>
   <td>
    97
   </td>
   <td>
    99
   </td>
   <td>
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    India
   </td>
   <td>
    145
   </td>
   <td>
    37
   </td>
   <td>
    23
   </td>
   <td>
   </td>
   <td>
    199
   </td>
   <td>
    5.3
   </td>
   <td>
    0.51
   </td>
   <td>
    23.3
   </td>
   <td>
    16.3
   </td>
   <td>
    5.5
   </td>
   <td>
    22.6
   </td>
   <td>
    55
   </td>
   <td>
    184.3
   </td>
   <td>
    18.6
   </td>
   <td>
    2.4
   </td>
   <td>
    27.0
   </td>
   <td>
    89
   </td>
   <td>
    80
   </td>
   <td>
    6
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    Indonesia
   </td>
   <td>
    177
   </td>
   <td>
    25
   </td>
   <td>
    13
   </td>
   <td>
    0.17
   </td>
   <td>
    316
   </td>
   <td>
    3.9
   </td>
   <td>
    1.07
   </td>
   <td>
    26.4
   </td>
   <td>
    3.4
   </td>
   <td>
    0.6
   </td>
   <td>
    12.2
   </td>
   <td>
    57
   </td>
   <td>
    112.4
   </td>
   <td>
    7.1
   </td>
   <td>
    0.4
   </td>
   <td>
    37.9
   </td>
   <td>
    79
   </td>
   <td>
    67
   </td>
   <td>
    8
   </td>
   <td>
    1
   </td>
  </tr>
  <tr>
   <td>
    Maldives
   </td>
   <td>
    53
   </td>
   <td>
    9
   </td>
   <td>
    5
   </td>
   <td>
   </td>
   <td>
    33
   </td>
   <td>
   </td>
   <td>
    0.19
   </td>
   <td>
    13.4
   </td>
   <td>
    2.3
   </td>
   <td>
    2.2
   </td>
   <td>
    0.9
   </td>
   <td>
    62
   </td>
   <td>
    25.6
   </td>
   <td>
    0.3
   </td>
   <td>
    &lt;0.1
   </td>
   <td>
   </td>
   <td>
    99
   </td>
   <td>
    99
   </td>
   <td>
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    Myanmar
   </td>
   <td>
    250
   </td>
   <td>
    46
   </td>
   <td>
    23
   </td>
   <td>
    0.20
   </td>
   <td>
    338
   </td>
   <td>
    3.4
   </td>
   <td>
    2.03
   </td>
   <td>
    24.2
   </td>
   <td>
    7.8
   </td>
   <td>
    5.1
   </td>
   <td>
    19.9
   </td>
   <td>
    61
   </td>
   <td>
    156.4
   </td>
   <td>
    12.6
   </td>
   <td>
    1.4
   </td>
   <td>
    45.5
   </td>
   <td>
    91
   </td>
   <td>
    87
   </td>
   <td>
    91
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    Nepal
   </td>
   <td>
    186
   </td>
   <td>
    32
   </td>
   <td>
    20
   </td>
   <td>
    0.03
   </td>
   <td>
    151
   </td>
   <td>
    0.4
   </td>
   <td>
    0.31
   </td>
   <td>
    21.8
   </td>
   <td>
    8.8
   </td>
   <td>
    2.1
   </td>
   <td>
    15.9
   </td>
   <td>
    48
   </td>
   <td>
    193.8
   </td>
   <td>
    19.8
   </td>
   <td>
    0.4
   </td>
   <td>
    31.9
   </td>
   <td>
    91
   </td>
   <td>
    69
   </td>
   <td>
    82
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    sriLanka
   </td>
   <td>
    36
   </td>
   <td>
    7
   </td>
   <td>
    4
   </td>
   <td>
    0.01
   </td>
   <td>
    64
   </td>
   <td>
   </td>
   <td>
    0.64
   </td>
   <td>
    17.4
   </td>
   <td>
    14.6
   </td>
   <td>
    4.1
   </td>
   <td>
    14.9
   </td>
   <td>
    66
   </td>
   <td>
    79.8
   </td>
   <td>
    1.2
   </td>
   <td>
    0.4
   </td>
   <td>
    22.9
   </td>
   <td>
    99
   </td>
   <td>
    99
   </td>
   <td>
   </td>
   <td>
    67
   </td>
  </tr>
  <tr>
   <td>
    Thailand
   </td>
   <td>
    37
   </td>
   <td>
    9
   </td>
   <td>
    5
   </td>
   <td>
    0.09
   </td>
   <td>
    153
   </td>
   <td>
    0.4
   </td>
   <td>
    0.17
   </td>
   <td>
    14.5
   </td>
   <td>
    14.4
   </td>
   <td>
    8.3
   </td>
   <td>
    32.7
   </td>
   <td>
    80
   </td>
   <td>
    61.5
   </td>
   <td>
    3.5
   </td>
   <td>
    0.4
   </td>
   <td>
    22.8
   </td>
   <td>
    97
   </td>
   <td>
    87
   </td>
   <td>
   </td>
   <td>
   </td>
  </tr>
  <tr>
   <td>
    Timor-Leste
   </td>
   <td>
    142
   </td>
   <td>
    46
   </td>
   <td>
    20
   </td>
   <td>
   </td>
   <td>
    498
   </td>
   <td>
    0.0
   </td>
   <td>
    0.87
   </td>
   <td>
    19.9
   </td>
   <td>
    4.6
   </td>
   <td>
    2.2
   </td>
   <td>
    12.7
   </td>
   <td>
    52
   </td>
   <td>
    139.8
   </td>
   <td>
    9.9
   </td>
   <td>
    0.4
   </td>
   <td>
    38.2
   </td>
   <td>
    83
   </td>
   <td>
    54
   </td>
   <td>
   </td>
   <td>
   </td>
  </tr>
 </tbody>
</table>

\[^{a}\] Comparable estimates refer to country values of the same reference year, which may be adiusted or modelled to allow comparisons between countries and are produced for countries with underlying\nprimary data and,in some cases,for those without. Refer to Annex 2 forthe full set of SDG 3 indicators.Shading from blue to orange represents low to high for mortolity, incidence and prevalence indicators;\nand from high to low for immunization coverage and service index indicators.

\[^{b}\] per 100 000 live births   \[^{e}\] per 100 000 population  \[^{h}\]betweenages30-69(%)    \[^{k}\] age-standardized,among adults 18+(%)    \[^{n}\]among15year-old girls(o)

\[^{c}\] per 1000 live births   \[^{f}\] per 1000 population at risk    \[^{i}\] litres of pure alcohol per capita ≥15years \[^{l}\] among1-year-olds(%)

\[^{d}\] per 1000 uninfected population \[^{g}\] among children under 5 years(%)    \[^{j}\] age-standardized, per 100 00 population    \[^{m}\] by the nationaly recommended age(%)