<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="2.5" ID="RWA_2015_HADPA_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd">
    <docDscr>
        <citation>
            <titlStmt>
                <titl>RWA-NISR-RHADPA-2017-V1.0</titl>
                <IDNo>DDI_RWA_2015_HADPA_v01_M</IDNo>
            </titlStmt>
            <prodStmt>
                <producer abbr="NISR" affiliation="Minisrty of Finance and Economic Planning" role="Metadata producer">National Institute of Statistics of Rwanda</producer>
                <prodDate date="2017-05-01">2017-05-01</prodDate>
                <software version="5.0.19">Metadata Editor</software>
            </prodStmt>
            <verStmt>
                <version>
                    <![CDATA[Version 1.0 (June 2017). 
Version 2 (August 2020). Edited version based on the original version (ddi-rwa-nisr-rhadpa-2017-V1.0) that was produced by the National Institute of Statistics of Rwanda.]]>
                </version>
            </verStmt>
        </citation>
    </docDscr>
    <stdyDscr>
        <citation>
            <titlStmt>
                <IDNo>RWA_2015_HADPA_v01_M</IDNo>
                <titl>Health Administrative Data Progress Assessment 2015-2016</titl>
                <altTitl>HADPA 2015-2016</altTitl>
            </titlStmt>
            <rspStmt>
                <AuthEnty affiliation="Government of Rwanda">Ministry of Health</AuthEnty>
                <AuthEnty affiliation="Ministry of Finance and Economic Planning">National Institute of Statistics of Rwanda</AuthEnty>
                <othId role="Mobilisation" affiliation="Ministry of Local Governance">
                    <p>Local Government</p>
                </othId>
                <othId role="Mobilisation" affiliation="Government of Rwanda">
                    <p>Ministry of Education</p>
                </othId>
                <othId role="Legal requirements" affiliation="Government of Rwanda">
                    <p>Ministry of Justice</p>
                </othId>
            </rspStmt>
            <prodStmt>
                <producer abbr="NIDA" affiliation="Government of Rwanda" role="Technical partner">National Identification Agency</producer>
                <copyright>(c)2017, National Institute of Statistics of Rwanda</copyright>
                <software version="5.0.19">Metadata Editor</software>
            </prodStmt>
            <distStmt>
                <contact affiliation="NISR" email="info@statistics.gov.rw">Director General</contact>
                <contact affiliation="NISR" email="rwanda.nada@statistics.gov.rw">Data Portals Management Officer</contact>
            </distStmt>
            <serStmt>
                <serName>Administrative Records, Health (ad/hea]</serName>
                <serInfo>This is the first time that the progress of Health Administrative Data are assessed through a combination of two sources: Health Management Information System (HMIS) and the Civil Registration and Vital Statistics Systems (CRVS).</serInfo>
            </serStmt>
            <verStmt>
                <version date="2017-05-01">Version 1.1  Edited anonymized dataset for public use</version>
            </verStmt>
        </citation>
        <stdyInfo>
            <abstract>The importance of administrative statistics is much worth as it offers a good opportunity to get data at a cheaper cost compared to censuses and sample surveys. Administrative statistics are also very essential to calculate some important demographic measures for instance health administrative statistics such as crude birth rate, general fertility rate, age specific fertility rate, total fertility rate, gross reproduction rate, net reproduction rate, crude death rates, marriage and divorce rates, etc., under the condition that they are complete and accurate.</abstract>
            <sumDscr>
                <collDate date="2015" event="start"/>
                <collDate date="2016" event="end"/>
                <nation abbr="RWA">Rwanda</nation>
                <geogCover>National coverage</geogCover>
                <anlyUnit>The development of Health Administrative Data Progress Assessment focused on women and children as units of analysis.</anlyUnit>
                <universe>This assessment targeted women and children</universe>
                <dataKind>Administrative records data [adm]</dataKind>
            </sumDscr>
            <notes>The administrative systems collected data on crude birth rate (CBR), general fertility rate (GFR), age specific fertility rate (ASFR), total fertility rate (TFR) and gross reproduction rate (GRR).</notes>
        </stdyInfo>
        <method>
            <dataColl>
                <dataCollector abbr="NISR" affiliation="Ministry of Finance and Economic Planning">National Institute of Statistics of Rwanda</dataCollector>
                <collMode>Other [oth]</collMode>
                <collSitu>This assessment used a Civil Registration and Vital Statistics Systems (CRVS), a web based application system for recording vital events in order to boost quality and coverage in data capture and management of vital statistics, as well as the Health Management Information System (HMIS).</collSitu>
                <cleanOps>
                    <![CDATA[For the calculation of fertility indicators, two sources of administrative statistics( HMIS and CRVS) were used.

The Health Management Information System (HMIS) has collected the aggregated number of births in 2015 and 2016. For the corresponding years, the Civil Registration and Vital Statistics system (CRVS) has collected the number of births by the age of their mothers at the time of birth. To calculate fertility indicators like ASFR, TFR, and GRR, we need the number of births tabulated according to age of their mothers at birth.

Since the number of births registered in HMIS is close to expectation vis-à-vis the expected annual birth, fertility indicators were computed using HMIS data and these data have been imputed following the births distribution by age of the mothers (15-49) from the CRVS assuming that the same distribution of births according to the age of their mothers applies.]]>
                </cleanOps>
            </dataColl>
            <anlyInfo>
                <dataAppr>A combination of sources of data namely Health Management Information System (HMIS) and  Civil Registration and Vital Statistics web based application (CRVS) is very useful for quality data. The 4th Rwanda Population and Housing Census conducted in 2012 and Rwanda Demographic and Health Survey (RDHS) conducted in 2014/15 were also used to benchmark on expectations and achievements for now.</dataAppr>
            </anlyInfo>
        </method>
        <dataAccs>
            <setAvail>
                <accsPlac URI="https://microdata.statistics.gov.rw/index.php/catalog/79">National Institute of Statistics of Rwanda</accsPlac>
                <origArch>
                    <![CDATA[National Institute of Statistics of Rwanda
https://microdata.statistics.gov.rw/index.php/catalog/79
Cost: None]]>
                </origArch>
            </setAvail>
            <useStmt>
                <confDec required="yes">This is edited data file for public use.</confDec>
                <contact affiliation="Ministry of Finance and Economic Planning" URI="http://microdata.statistics.gov.rw/" email="info@statistics.gov.rw">National Institute of Statistics of Rwanda</contact>
                <citReq>
                    <![CDATA["National Institute of Statistics of Rwanda, Health Administrative Data Progress Assessment (HADPA 2015-2016), version 1.0 of public use dataset (June 2017), provided by the National Data Archive. <http://microdata.statistics.gov.rw/>"]]>
                </citReq>
                <conditions>To gain access to this statistical data, the user agrees NISR microdata access terms and conditions</conditions>
                <disclaimer>The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.</disclaimer>
            </useStmt>
        </dataAccs>
    </stdyDscr>
    <fileDscr ID="F1">
        <fileTxt>
            <fileName>RWA-NISR-RHADPA-data-file.sav</fileName>
            <dimensns>
                <caseQnty>568</caseQnty>
                <varQnty>8</varQnty>
            </dimensns>
            <fileType>.sav</fileType>
        </fileTxt>
    </fileDscr>
    <dataDscr>
        <var ID="V2" name="Province" files="F1" intrvl="discrete">
            <location StartPos="1" EndPos="11" width="11"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu>East</catValu>
                <labl></labl>
                <catStat type="freq">123</catStat>
            </catgry>
            <catgry>
                <catValu>Kigali City</catValu>
                <labl></labl>
                <catStat type="freq">52</catStat>
            </catgry>
            <catgry>
                <catValu>North</catValu>
                <labl></labl>
                <catStat type="freq">109</catStat>
            </catgry>
            <catgry>
                <catValu>South</catValu>
                <labl></labl>
                <catStat type="freq">138</catStat>
            </catgry>
            <catgry>
                <catValu>TOTAL</catValu>
                <labl></labl>
                <catStat type="freq">1</catStat>
            </catgry>
            <catgry>
                <catValu>West</catValu>
                <labl></labl>
                <catStat type="freq">145</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V3" name="District" files="F1" intrvl="discrete">
            <location StartPos="12" EndPos="30" width="19"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu></catValu>
                <labl></labl>
                <catStat type="freq">1</catStat>
            </catgry>
            <catgry>
                <catValu>Bugesera District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Burera District</catValu>
                <labl></labl>
                <catStat type="freq">20</catStat>
            </catgry>
            <catgry>
                <catValu>Gakenke District</catValu>
                <labl></labl>
                <catStat type="freq">25</catStat>
            </catgry>
            <catgry>
                <catValu>Gasabo District</catValu>
                <labl></labl>
                <catStat type="freq">20</catStat>
            </catgry>
            <catgry>
                <catValu>Gatsibo District</catValu>
                <labl></labl>
                <catStat type="freq">21</catStat>
            </catgry>
            <catgry>
                <catValu>Gicumbi District</catValu>
                <labl></labl>
                <catStat type="freq">25</catStat>
            </catgry>
            <catgry>
                <catValu>Gisagara District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Huye District</catValu>
                <labl></labl>
                <catStat type="freq">19</catStat>
            </catgry>
            <catgry>
                <catValu>Kamonyi District</catValu>
                <labl></labl>
                <catStat type="freq">14</catStat>
            </catgry>
            <catgry>
                <catValu>Karongi District</catValu>
                <labl></labl>
                <catStat type="freq">26</catStat>
            </catgry>
            <catgry>
                <catValu>Kayonza District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Kicukiro District</catValu>
                <labl></labl>
                <catStat type="freq">14</catStat>
            </catgry>
            <catgry>
                <catValu>Kirehe District</catValu>
                <labl></labl>
                <catStat type="freq">18</catStat>
            </catgry>
            <catgry>
                <catValu>Muhanga District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Musanze District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Ngoma District</catValu>
                <labl></labl>
                <catStat type="freq">15</catStat>
            </catgry>
            <catgry>
                <catValu>Ngororero District</catValu>
                <labl></labl>
                <catStat type="freq">26</catStat>
            </catgry>
            <catgry>
                <catValu>Nyabihu District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Nyagatare District</catValu>
                <labl></labl>
                <catStat type="freq">21</catStat>
            </catgry>
            <catgry>
                <catValu>Nyamagabe District</catValu>
                <labl></labl>
                <catStat type="freq">21</catStat>
            </catgry>
            <catgry>
                <catValu>Nyamasheke District</catValu>
                <labl></labl>
                <catStat type="freq">22</catStat>
            </catgry>
            <catgry>
                <catValu>Nyanza District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Nyarugenge District</catValu>
                <labl></labl>
                <catStat type="freq">18</catStat>
            </catgry>
            <catgry>
                <catValu>Nyaruguru District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Rubavu District</catValu>
                <labl></labl>
                <catStat type="freq">15</catStat>
            </catgry>
            <catgry>
                <catValu>Ruhango District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Rulindo District</catValu>
                <labl></labl>
                <catStat type="freq">23</catStat>
            </catgry>
            <catgry>
                <catValu>Rusizi District</catValu>
                <labl></labl>
                <catStat type="freq">21</catStat>
            </catgry>
            <catgry>
                <catValu>Rutsiro District</catValu>
                <labl></labl>
                <catStat type="freq">18</catStat>
            </catgry>
            <catgry>
                <catValu>Rwamagana District</catValu>
                <labl></labl>
                <catStat type="freq">15</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V4" name="Hospital" files="F1" intrvl="discrete">
            <location StartPos="31" EndPos="56" width="26"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu></catValu>
                <labl></labl>
                <catStat type="freq">1</catStat>
            </catgry>
            <catgry>
                <catValu>Bushenge Sub District</catValu>
                <labl></labl>
                <catStat type="freq">8</catStat>
            </catgry>
            <catgry>
                <catValu>Butaro Sub District</catValu>
                <labl></labl>
                <catStat type="freq">20</catStat>
            </catgry>
            <catgry>
                <catValu>Byumba Sub District</catValu>
                <labl></labl>
                <catStat type="freq">25</catStat>
            </catgry>
            <catgry>
                <catValu>Gahini Sub District</catValu>
                <labl></labl>
                <catStat type="freq">9</catStat>
            </catgry>
            <catgry>
                <catValu>Gakoma Sub District</catValu>
                <labl></labl>
                <catStat type="freq">6</catStat>
            </catgry>
            <catgry>
                <catValu>Gihundwe Sub District</catValu>
                <labl></labl>
                <catStat type="freq">8</catStat>
            </catgry>
            <catgry>
                <catValu>Gisenyi Sub District</catValu>
                <labl></labl>
                <catStat type="freq">15</catStat>
            </catgry>
            <catgry>
                <catValu>Gitwe Sub District</catValu>
                <labl></labl>
                <catStat type="freq">9</catStat>
            </catgry>
            <catgry>
                <catValu>Kabaya Sub District</catValu>
                <labl></labl>
                <catStat type="freq">10</catStat>
            </catgry>
            <catgry>
                <catValu>Kabgayi Sub District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Kabutare Sub District</catValu>
                <labl></labl>
                <catStat type="freq">19</catStat>
            </catgry>
            <catgry>
                <catValu>Kaduha Sub District</catValu>
                <labl></labl>
                <catStat type="freq">10</catStat>
            </catgry>
            <catgry>
                <catValu>Kibagabaga Sub District</catValu>
                <labl></labl>
                <catStat type="freq">20</catStat>
            </catgry>
            <catgry>
                <catValu>Kibilizi Sub District</catValu>
                <labl></labl>
                <catStat type="freq">10</catStat>
            </catgry>
            <catgry>
                <catValu>Kibogora Sub District</catValu>
                <labl></labl>
                <catStat type="freq">14</catStat>
            </catgry>
            <catgry>
                <catValu>Kibungo Sub District</catValu>
                <labl></labl>
                <catStat type="freq">15</catStat>
            </catgry>
            <catgry>
                <catValu>Kibuye Sub District</catValu>
                <labl></labl>
                <catStat type="freq">13</catStat>
            </catgry>
            <catgry>
                <catValu>Kigeme Sub District</catValu>
                <labl></labl>
                <catStat type="freq">11</catStat>
            </catgry>
            <catgry>
                <catValu>Kinihira Sub District</catValu>
                <labl></labl>
                <catStat type="freq">10</catStat>
            </catgry>
            <catgry>
                <catValu>Kirehe Sub District</catValu>
                <labl></labl>
                <catStat type="freq">18</catStat>
            </catgry>
            <catgry>
                <catValu>Kirinda Sub District</catValu>
                <labl></labl>
                <catStat type="freq">6</catStat>
            </catgry>
            <catgry>
                <catValu>Kiziguro Sub District</catValu>
                <labl></labl>
                <catStat type="freq">13</catStat>
            </catgry>
            <catgry>
                <catValu>Masaka Sub District</catValu>
                <labl></labl>
                <catStat type="freq">14</catStat>
            </catgry>
            <catgry>
                <catValu>Mibilizi Sub District</catValu>
                <labl></labl>
                <catStat type="freq">13</catStat>
            </catgry>
            <catgry>
                <catValu>Mugonero Sub District</catValu>
                <labl></labl>
                <catStat type="freq">7</catStat>
            </catgry>
            <catgry>
                <catValu>Muhima Sub District</catValu>
                <labl></labl>
                <catStat type="freq">18</catStat>
            </catgry>
            <catgry>
                <catValu>Muhororo Sub District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Munini Sub District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Murunda Sub District</catValu>
                <labl></labl>
                <catStat type="freq">18</catStat>
            </catgry>
            <catgry>
                <catValu>Nemba Sub District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Ngarama Sub District</catValu>
                <labl></labl>
                <catStat type="freq">8</catStat>
            </catgry>
            <catgry>
                <catValu>Nyagatare Sub District</catValu>
                <labl></labl>
                <catStat type="freq">21</catStat>
            </catgry>
            <catgry>
                <catValu>Nyamata Sub District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Nyanza Sub District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <catgry>
                <catValu>Remera Rukoma Sub District</catValu>
                <labl></labl>
                <catStat type="freq">14</catStat>
            </catgry>
            <catgry>
                <catValu>Ruhango Sub District</catValu>
                <labl></labl>
                <catStat type="freq">8</catStat>
            </catgry>
            <catgry>
                <catValu>Ruhengeri Sub District</catValu>
                <labl></labl>
                <catStat type="freq">16</catStat>
            </catgry>
            <catgry>
                <catValu>Ruli Sub District</catValu>
                <labl></labl>
                <catStat type="freq">9</catStat>
            </catgry>
            <catgry>
                <catValu>Rutongo Sub District</catValu>
                <labl></labl>
                <catStat type="freq">13</catStat>
            </catgry>
            <catgry>
                <catValu>Rwamagana Sub District</catValu>
                <labl></labl>
                <catStat type="freq">15</catStat>
            </catgry>
            <catgry>
                <catValu>Rwinkwavu Sub District</catValu>
                <labl></labl>
                <catStat type="freq">8</catStat>
            </catgry>
            <catgry>
                <catValu>Shyira Sub District</catValu>
                <labl></labl>
                <catStat type="freq">17</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V5" name="Sector" files="F1" intrvl="contin">
            <location StartPos="57" EndPos="86" width="30"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V6" name="HealthFacility" files="F1" intrvl="contin">
            <labl>Health Facility</labl>
            <location StartPos="87" EndPos="117" width="31"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V7" name="HFdeliveries2016" files="F1" dcml="0" intrvl="contin">
            <labl>HF deliveries2016</labl>
            <location StartPos="118" EndPos="123" width="6"/>
            <valrng>
                <range UNITS="REAL" min="0" max="328419"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">328419</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V8" name="Homedeliveries2016" files="F1" dcml="0" intrvl="contin">
            <labl>Home deliveries 2016</labl>
            <location StartPos="124" EndPos="128" width="5"/>
            <valrng>
                <range UNITS="REAL" min="0" max="10365"/>
            </valrng>
            <sumStat type="vald">552</sumStat>
            <sumStat type="invd">16</sumStat>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">10365</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V9" name="Total" files="F1" dcml="0" intrvl="contin">
            <location StartPos="129" EndPos="134" width="6"/>
            <valrng>
                <range UNITS="REAL" min="0" max="338784"/>
            </valrng>
            <sumStat type="vald">568</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">338784</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
    </dataDscr>
</codeBook>