<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="INDEPTH.MW011.CMD2016.v1" 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.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Karonga HDSS INDEPTH Core Dataset 2003-2016 (Release 2018)
        </titl>
        <IDNo>
          DDI.INDEPTH.MW011.CMD2016.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="London School of Hygiene and Tropical Medicine">
          Karonga Prevention Study
        </AuthEnty>
        <AuthEnty/>
        <AuthEnty/>
        <AuthEnty/>
      </rspStmt>
      <prodStmt>
        <producer abbr="INDEPTH" affiliation="INDEPTH Network" role="agency">
          INDEPTH Network
        </producer>
        <producer abbr="isTT" affiliation="INDEPTH Network" role="Technical Support">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="EM" affiliation="LSHTM" role="Data Scientist">
          Estelle McLean
        </producer>
        <producer abbr="MEIRU" affiliation="LSHTM" role="agency">
          Malawi Epidemiology &amp; Intervention Research Unit
        </producer>
        <prodDate date="2018-05-25">
          2018-05-25
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          MW011.CMD2016.v1
        </version>
        <notes>
          CMD2016.v1 - 2018-05-25 First documentation for 2016 dataset for public distribution
        </notes>
      </verStmt>
      <holdings URI="www.indepth.ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Karonga HDSS INDEPTH Core Dataset 2003-2016 (Release 2018)
        </titl>
        <IDNo>
          INDEPTH.MW011.CMD2016.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Karonga Prevention Study">
          Albert Dube
        </AuthEnty>
        <AuthEnty affiliation="London School of Hygiene and Tropical Medicine">
          Amelia C. Crampin
        </AuthEnty>
        <othId role="Data Manager" affiliation="London School of Hygiene and Tropical Medicine">
          <p>
            Keith Branson
          </p>
        </othId>
        <othId role="Data Scientist" affiliation="London School of Hygiene and Tropical Medicine">
          <p>
            Estelle McLean
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MEIRU" affiliation="London School of Hygiene and Tropical Medicine" role="Original producer">
          Malawi Epidemiology &amp; Intervention Research Unit
        </producer>
        <copyright>
          This dataset documentation is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg role="All stages of data production process">
          Wellcome Trust
        </fundAg>
      </prodStmt>
      <distStmt>
        <distrbtr abbr="KPS" affiliation="London School of Hygiene and Tropical Medicine">
          Karonga Prevention Study
        </distrbtr>
        <contact affiliation="INDEPTH Network" URI="http://indepth-ishare.org/howtouse" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          <![CDATA[Base line 2002-2004
Round 1-12 (2004-2016)
Demographic survellance of a continous registration system]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2018-05-25">
          CMD2016.v1: Edited dataset for public distribution
        </version>
        <notes>
          Developed in iSHARE2 workshop in Dubai May 2018
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Demography
        </keyword>
        <keyword>
          Census
        </keyword>
        <keyword>
          Vital statistics
        </keyword>
        <keyword>
          Mortality
        </keyword>
        <keyword>
          Population dynamics
        </keyword>
        <keyword>
          Life expectancy
        </keyword>
        <keyword>
          Malawi
        </keyword>
        <keyword>
          Sub-Saharan Africa
        </keyword>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Demography [N01.224]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Emigration and Immigration [N01.224.625.350]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Mortality [N01.224.935.698]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Birth Rate [N01.224.935.849.500]
        </topcClas>
      </subject>
      <abstract>
        The Karonga Health and Demographic Surveillance System (Karonga HDSS) in northern Malawi currently has a population of more than 42 000 individuals under continuous demographic surveillance since completion of a baseline census (2002-2004). The surveillance system collects data on vital events and migration for individuals and for households. It also provides data on cause-specific mortality obtained by verbal autopsy for all age groups, and estimates rates of disease for specific presentations via linkage to clinical facility data. The Karonga HDSS provides a structure for surveys of socio-economic status, HIV-prevalence and incidence, sexual behavior, fertility intentions and a sampling frame for other studies, as well as evaluating the impact of interventions, such as antiretroviral therapy and vaccination programs. Uniquely, it relies on a network of village informants to report vital events and household moves, and furthermore is linked to an archive of biological samples and data from population surveys and other studies dating back three decades.
      </abstract>
      <sumDscr>
        <timePrd date="2002-09-01" event="start" cycle="Baseline"/>
        <timePrd date="2004-06-30" event="end" cycle="Baseline"/>
        <timePrd date="2004-07-01" event="start" cycle="Round 1"/>
        <timePrd date="2005-06-30" event="end" cycle="Round 1"/>
        <timePrd date="2005-07-01" event="start" cycle="Round 2"/>
        <timePrd date="2006-06-30" event="end" cycle="Round 2"/>
        <timePrd date="2006-07-01" event="start" cycle="Round 3"/>
        <timePrd date="2007-06-30" event="end" cycle="Round 3"/>
        <timePrd date="2007-07-01" event="start" cycle="Round 4"/>
        <timePrd date="2008-06-30" event="end" cycle="Round 4"/>
        <timePrd date="2008-07-01" event="start" cycle="Round 5"/>
        <timePrd date="2009-06-30" event="end" cycle="Round 5"/>
        <timePrd date="2009-07-01" event="start" cycle="Round 6"/>
        <timePrd date="2010-06-30" event="end" cycle="Round 6"/>
        <timePrd date="2010-07-01" event="start" cycle="Round 7"/>
        <timePrd date="2011-06-30" event="end" cycle="Round 7"/>
        <timePrd date="2011-07-01" event="start" cycle="Round 8"/>
        <timePrd date="2012-06-30" event="end" cycle="Round 8"/>
        <timePrd date="2012-07-01" event="start" cycle="Round 9"/>
        <timePrd date="2013-06-30" event="end" cycle="Round 9"/>
        <timePrd date="2013-07-01" event="start" cycle="Round 10"/>
        <timePrd date="2014-06-30" event="end" cycle="Round 10"/>
        <timePrd date="2014-07-01" event="start" cycle="Round 11"/>
        <timePrd date="2015-06-30" event="end" cycle="Round 11"/>
        <timePrd date="2015-07-01" event="start" cycle="Round 12"/>
        <timePrd date="2016-06-30" event="end" cycle="Round 12"/>
        <collDate date="2003-01-01" event="start" cycle="Release coverage"/>
        <collDate date="2016-12-31" event="end" cycle="Release coverage"/>
        <nation abbr="MW">
          Malawi
        </nation>
        <geogCover>
          The Karonga HDSS surrounds the port village of Chilumba, on Lake Malawi, in the southern part of Karonga District . The surveillance area is located between latitudes 10.388 and 10.508S and longitudes 34.088 and 34.278E, covering an area of approximately 135 km2. The lake shore and the Nyika National Park form the boundaries to the east and west, respectively, whereas the boundaries to the north and south are delineated by village boundaries
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          <![CDATA[The DSS covers all the individuals  of all ages who are members of households and are residents within the geographical boundaries of the study area. Visitors too were captured in the baseline survey.

Of the 36,783 individuals under observation at the end of 2012, 48% (17,715/36,783) were male and  52% were female (19,068/36,783); 20% (7542/36,783) were aged under 5 years and 50% (18 396/ 36,783) were under 15 years of age. In all, 44% (16 277/36 783) of the population were aged between 15 and 59 years, and 6% (2160/36,783) were aged 60 years and above. The majority of the population  under surveillance are rural dwellers that depend on subsistence farming and fish from the lake as a source of their livelihood.]]>
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The scope of this dataset includes the following:

All resident population of the HDSS
Enumeration
Birth
Death
Migration]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <timeMeth>
          Monthly recording of births and deaths, continuous recording of opportunistic events and a yearly census to record all demographic events including individual and whole household movements.
        </timeMeth>
        <dataCollector affiliation="Karonga Prevention Study">
          Field Workers
        </dataCollector>
        <dataCollector affiliation="Karonga Community Members">
          Key Informants
        </dataCollector>
        <frequenc>
          Yearly
        </frequenc>
        <sampProc>
          The whole population
        </sampProc>
        <deviat>
          None
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          The questionnaires are designed to capture the core HDSS information which includes the baseline, birth, inmigration, outmigration and death along with the other questionnaires.
        </resInstru>
        <sources/>
        <weight>
          Not Applicable
        </weight>
        <cleanOps>
          <![CDATA[Data was left censored to 1 Jan 2003 to account for the start-up phase of the surveillance.
Data were edited to allow people to appear in only one household at a time (for surveillance purposes men with multiple wives can be recorded as living in more than one household).]]>
        </cleanOps>
      </dataColl>
      <notes>
        <![CDATA[Data are entered manually from paper records onto an Access database.  Data tables are extracted and processed in Stata prior to production of the core micro dataset.]]>
      </notes>
      <anlyInfo>
        <respRate>
          The average response rate for household visits over all the rounds is around 99%
        </respRate>
        <EstSmpErr>
          Not Applicable
        </EstSmpErr>
        <dataAppr>
          <![CDATA[CentreId	MetricTable	QMetric	                Illegal	Legal	Total	Metric	RunDate

MW011	MicroDataCleaned	Starts		                72935			2018-05-25 13:59	
MW011	MicroDataCleaned	Transitions	0	250770	250770	0.	2018-05-25 13:59	
MW011	MicroDataCleaned	Ends		                72935			2018-05-25 13:59	
MW011	MicroDataCleaned	SexValues		250770			2018-05-25 13:59	
MW011	MicroDataCleaned	DoBValues		250770			2018-05-25 13:59]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Karonga (MW011)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required
        </confDec>
        <contact affiliation="INDEPTH" URI="http://indepth-ishare.org" email="help-data@indepth-network.org">
          iSHARE2 Help desk
        </contact>
        <citReq>
          <![CDATA[Any use of this dataset must cite the digital object identifier (doi) associated with this dataset using the following form:

"Karonga HDSS INDEPTH Core Dataset 2003-2016 (Release 2018). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/INDEPTH.MW011.CMD2016.v1"]]>
        </citReq>
        <conditions>
          <![CDATA[This data is made available for licensed access under the following conditions: 

1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. 

2. In the case of multi-centre datasets, data originating from a single contributing member centre of the INDEPTH Network may not be analysed or reported on in isolation without the express permission of the member centre concerned.  

3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to INDEPTH. 

4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. 

5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from INDEPTH will cite the source, in line with the citation requirement provided with the dataset. 

6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. 

7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.
        </disclaimer>
      </useStmt>
    </dataAccs>
    <othrStdyMat>
      <relMat>
        <![CDATA[The Karonga Health and Demographic Surveillance System (Karonga HDSS) in northern Malawi currently has a population of more than 35 000 individuals under continuous demographic surveillance since completion of a baseline census (2002–2004). The surveillance system collects data on vital events and migration for individuals and for households. It also provides data on cause-specific mortality obtained by verbal autopsy for all age groups, and estimates rates of disease for specific presentations via linkage to clinical facility data. The Karonga
HDSS provides a structure for surveys of socio-economic status, HIV sero prevalence and incidence, sexual behaviour, fertility intentions and a sampling frame for other studies, as well as evaluating the impact of interventions, such as antiretroviral therapy and vaccination programmes. Uniquely, it relies on a network of village informants to report vital events and household moves, and furthermore is linked to an archive of biological samples and data from population surveys and other studies dating back three decades.]]>
        <citation>
          <titlStmt>
            <titl>
              Profile: The Karonga health and demographic
            </titl>
          </titlStmt>
          <holdings URI="http://ije.oxfordjournals.org"/>
        </citation>
      </relMat>
      <relPubl>
        This paper describes and evaluates the first demographic surveillance system (DSS) in Malawi, covering a rural population of 30,000. Unlike others, the Karonga DSS relies on trained village informants using formatted registers for the primary notification of vital events and migrations. Seven project enumerators subsequently collect detailed data on events notified by the village informants, using stringent identification procedures for households and individuals. Internal movements are traced systematically to augment event registration and data quality. Continuous evaluation of data collection is built into the methods. A re-census conducted after 2 years indicated that the routine system had registered 97% of 1,588 births, 99% of 521 deaths and 92% of 13,168 movements.
        <citation>
          <titlStmt>
            <titl>
              Evaluation of a village-informant driven demographic surveillance system in Karonga, Northern Malawi.
            </titl>
          </titlStmt>
          <holdings URI="http://www.demographic-research.org/Volumes/Vol16/8/"/>
        </citation>
      </relPubl>
    </othrStdyMat>
  </stdyDscr>
  <fileDscr ID="F1" URI="DDI.INDEPTH.MW011.CMD2016.v1.Nesstar?Index=0&amp;Name=MW011.CMD2016.v1">
    <fileTxt>
      <fileName>
        MW011.CMD2016.v1.NSDstat
      </fileName>
      <fileCont>
        Event History Dataset of Karonga HDSS
      </fileCont>
      <dimensns>
        <caseQnty>
          281505
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Karonga HDSS
      </filePlac>
      <dataChck>
        <![CDATA[The following processing checks are done during the ETL process.
A.	If the first event is legal. Like the first event must be enumeration, birth or inmigration.
B.	If the last event is legal. Like the last event must be end of observation, death or outmigration.
C.	If the transition events are legal.
 
· The list of legal transitions:
1)	Birth followed by death
2)	Birth followed by exit
3)	Birth followed by end of observation
4)	Birth followed by outmigration
5)	Death followed by none
6)	Entry followed by death
7)	Entry followed by exit
8)	Entry followed by end of observation
9)	Entry followed by outmigration
10)	Enumeration followed by death
11)	Enumeration followed by exit
12)	Enumeration followed by outmigration
13)	Exit followed by entry
14)	Inmigration followed by Death
15)	Inmigration followed by exit
16)	Inmigration followed by end of observation
17)	Inmigration followed by outmigration
18)	End of observation followed by none
19)	Outmigration followed by none
20)	Outmigration followed by enumeration
21)	Outmigration followed by inmigration

· The list of illegal transitions:
1)	Birth followed by none
2)	Birth followed by birth
3)	Birth followed by entry
4)	Birth followed by enumeration
5)	Birth followed by inmigration
6)	Death followed by birth
7)	Death followed by death
8)	Death followed by entry
9)	Death followed by enumeration
10)	Death followed by exit
11)	Death followed by inmigration
12)	Death followed by outmigration
13)	Death followed by end of observation
14)	Entry followed by none
15)	Entry followed by birth
16)	Entry followed by entry
17)	Entry followed by enumeration
18)	Entry followed by inmigration
19)	Enumeration followed by none
20)	Enumeration followed by birth
21)	Enumeration followed by entry
22)	Enumeration followed by enumeration
23)	Enumeration followed by inmigration
24)	Exit followed by birth
25)	Exit followed by death
26)	Exit followed by exit
27)	Exit followed by end of observation
28)	Exit followed by outmigration
29)	Inmigration followed by none
30)	Inmigration followed by birth
31)	Inmigration followed by entry
32)	Inmigration followed by enumeration
33)	Inmigration followed by inmigration
34)	End of observation followed by birth
35)	End of observation followed by death
36)	End of observation followed by entry
37)	End of observation followed by enumeration
38)	End of observation followed by exit
39)	End of observation followed by inmigration
40)	End of observation followed by end of observation
41)	End of observation followed by outmigration
42)	Outmigration followed by birth
43)	Outmigration followed by death
44)	Outmigration followed by exit
45)	Outmigration followed by end of observation
46)	Outmigration followed by outmigration

· List of edited events:
1)	Exit followed by none
2)	Exit followed by enumeration
3)	Exit followed by inmigration
4)            Outmigration followed by entry]]>
      </dataChck>
      <verStmt>
        <version>
          MW011.CMD2016.v1
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
45782a9bf9f592bbf8e28dbd6a6ed3ad]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Centre Related Variables
      </labl>
      <txt>
        <![CDATA[The  group has identifiers for country and centre]]>
      </txt>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V1 V4 V5 V6">
      <labl>
        Individual related variables
      </labl>
      <txt>
        The group has identifiers for individuals
      </txt>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V1 V7 V8 V9 V10 V11 V12" varGrp="VG5">
      <labl>
        Event Related Variables
      </labl>
      <txt>
        This group has event related variables
      </txt>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V13 V14">
      <labl>
        Birth Related Variables
      </labl>
      <txt>
        The group contains Birth(BTH) related variables
      </txt>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="contin">
      <labl>
        RecNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="277338"/>
      </valrng>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        281505
      </sumStat>
      <sumStat type="mean">
        140753
      </sumStat>
      <sumStat type="stdev">
        81263.638
      </sumStat>
      <txt>
        A sequential number uniquely identifying each record in the data file
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="CountryId" files="F1" dcml="0" intrvl="discrete">
      <labl>
        CountryId
      </labl>
      <valrng>
        <range UNITS="REAL" min="454" max="454"/>
      </valrng>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country in which the surevellance site is situated
      </txt>
      <catgry>
        <catValu>
          454
        </catValu>
        <catStat type="freq">
          281505
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="CentreId" files="F1" intrvl="discrete">
      <location width="5" RecSegNo="1"/>
      <labl>
        CentreId
      </labl>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[An identifier issued by INDEPTH to each member centre of the format CCNNS, Where CCNNS is the INDEPTH Member site code, constructed as follows:
- CC the ISO 3166-1 alpha-2 code of the country where the site is situated
- NN is a sequential number uniquely identifying an INDEPTH member centre within the country. Starting with 01 to 99, for a maximum of 99 centres per country
-S is a sequential character uniquely identifying the geographical surveillance site. Starting with 1 to 9, thereafter A to Z, for a maximum of 35 sites per centre.]]>
      </txt>
      <catgry>
        <catValu>
          MW011
        </catValu>
        <catStat type="freq">
          281505
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="68653"/>
      </valrng>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        81830
      </sumStat>
      <sumStat type="mean">
        40869.326
      </sumStat>
      <sumStat type="stdev">
        23594.704
      </sumStat>
      <txt>
        A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not the same as the identifier used by the contributing centre to identify the individual.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="Sex" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sex of individual
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unkonwn
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          128417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          153088
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="min">
        1905-06-15
      </sumStat>
      <sumStat type="max">
        2016-12-31
      </sumStat>
      <txt>
        The date of birth of the individual Format: YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V7" name="EventCount" files="F1" dcml="0" intrvl="contin">
      <labl>
        EventCount
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="29"/>
      </valrng>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        26
      </sumStat>
      <sumStat type="mean">
        5.262
      </sumStat>
      <sumStat type="stdev">
        3.225
      </sumStat>
      <txt>
        <![CDATA[The total number of events  associated with the individual in this dataset]]>
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="contin">
      <labl>
        EventNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="29"/>
      </valrng>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        26
      </sumStat>
      <sumStat type="mean">
        3.131
      </sumStat>
      <sumStat type="stdev">
        2.386
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurence
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="EventCode" files="F1" intrvl="discrete">
      <location width="3" RecSegNo="1"/>
      <labl>
        EventCode
      </labl>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code identifying the type of event that has occurred
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          17890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          3563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          40754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          28902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          40740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          Inmigration
        </labl>
        <catStat type="freq">
          37723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation
        </labl>
        <catStat type="freq">
          72888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Observation Lost
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBS
        </catValu>
        <labl>
          Observation Last
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <labl>
          Outmigration
        </labl>
        <catStat type="freq">
          38432
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        281505
      </sumStat>
      <sumStat type="min">
        2003-01-01
      </sumStat>
      <sumStat type="max">
        2017-01-01
      </sumStat>
      <txt>
        The date on which the event occurred: Format YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V11" name="ObservationDate" files="F1" intrvl="discrete">
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <txt>
        <![CDATA[Date on which the event was observed (recorded), also known as surveillance visit date:
Format YYYY-MM-DD]]>
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V12" name="LocationId" files="F1" dcml="0" intrvl="contin">
      <labl>
        LocationId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="19276"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        281505
      </sumStat>
      <txt>
        <![CDATA[Unique identifier associated with a residential unit within the site and is the location where the individual was or became resident when the event occurred. For data anonymization purposes, this identifier should not be the
same as the identifier used internally by the contributing centre, but the contributing centre should retain a mapping of this identifier to their internal location identifier]]>
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="MotherId" files="F1" dcml="0" intrvl="contin">
      <labl>
        MotherId
      </labl>
      <valrng>
        <range UNITS="REAL" min="9" max="68641"/>
      </valrng>
      <sumStat type="vald">
        18554
      </sumStat>
      <sumStat type="invd">
        262951
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        81819
      </sumStat>
      <sumStat type="mean">
        40566.039
      </sumStat>
      <sumStat type="stdev">
        23590.119
      </sumStat>
      <txt>
        The IndividualId of the mother. Only provided for BTH event
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="DeliveryId" files="F1" dcml="0" intrvl="contin">
      <labl>
        DeliveryId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="16416"/>
      </valrng>
      <sumStat type="vald">
        18554
      </sumStat>
      <sumStat type="invd">
        262951
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        17604
      </sumStat>
      <sumStat type="mean">
        8891.505
      </sumStat>
      <sumStat type="stdev">
        5095.695
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
