<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="INDEPTH.UG011.CMD2012.v3" 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>
          Iganga/Mayuge INDEPTH Core Dataset 2005-2012 (Residents only) Release 2015
        </titl>
        <IDNo>
          DDI.INDEPTH.UG011.CMD2012.v4
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="iS2TT" affiliation="INDEPTH Network" role="Documentation of the study">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="int.indepth" affiliation="INDEPTH Network" role="agency">
          INDEPTH Network
        </producer>
        <producer abbr="NK" affiliation="UG011" role="DDI author">
          Noah Kasunumba
        </producer>
        <prodDate date="2015-07-27">
          2015-07-27
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 1 (November 2014)
Version 2 (January 2015)
Version 3(June2015)
Version4 (July 2015)]]>
        </version>
        <notes>
          <![CDATA[Version 1 : Initial version
Version 2: Edited version for release
Version 4: New Copyright statment added]]>
        </notes>
      </verStmt>
      <holdings URI="http://www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Iganga/Mayuge INDEPTH Core Dataset 2005-2012 (Residents only) Release 2015
        </titl>
        <IDNo>
          INDEPTH.UG011.CMD2012.v3
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Chair steering committee and current site leader Iganga/Mayuge HDSS">
          Prof Wabwire Mangeni
        </AuthEnty>
        <AuthEnty affiliation="site cordinator">
          Edward Galiwango
        </AuthEnty>
        <AuthEnty affiliation="Field manager">
          Judith Nanyonga
        </AuthEnty>
        <AuthEnty affiliation="Data manager">
          Valerie Tusubira
        </AuthEnty>
        <othId affiliation="Districts">
          <p>
            Iganga and Mayuge districts
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer/>
        <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 abbr="Sida" role="current funder">
          Swedish international Development cooperation Agency
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH" URI="http://indepth-ishare.org/howtouse" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          This dataset contains rounds 1-13 of demographic surveillance data covering the period from 1 jan 2005 to 31 december 2012. Two rounds of data collection took place annually from 2005 where individuals enumerated in 2005 were followed up, registration of migrations, deaths and births also took placeiin all these rounds of data collection
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2015-06-12">
          <![CDATA[CMD2012.V1: Initial version for internal use
CMD2012.V2: Edited version for internal use
CMD2012.V3: Edited dataset for public distribution]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <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">
          Age Distribution [N01.224.033]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Sex Distribution [N01.224.803]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Vital Statistics [N01.224.935]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Life Expectancy [N01.224.935.464]
        </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">
          Rural Population [N01.600.725]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Educational Status [N01.824.196]
        </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">
          Residential Mobility [N01.224.791.700]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Birth Rate [N01.224.935.849.500]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Maternal Age [N06.850.490.250.550]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[Iganga /Mayuge DSS in Uganda, was established in August 2004. It is located in the eastern part of the country 115km from Kampala the capital city. According to results from end of round 13 which was conducted between may-August 2012, the DSS has a population of about 79,000 people, about 61% living in rural and 39% peri-urban areas. Data for update rounds is collected 2 times in a year. The Iganga/Mayuge DSS is using paper based protocol of data collection but is gradually changing to use of tablets.

The core demographic events covered are Migrations, Birth Death and Verbal Autopsy. Other modules collected are Pregnancy, Education and Socio-economic status.


Objectives

1.     Capacity Building: To develop operational research capacity for Makerere University staff and graduate students

2.   Monitoring and Evaluation: To provide a platform for high quality household survey data for operational field trials of health, agriculture, socio-economic, veterinary and technological interventions in rural and peri urban populations;

3.   Services: To contribute to the development of the new sentinel Surveillance system by providing unique, essential, household level information individually tailored for policy, planning and research needs.
 

Priority Research Areas

Health, research by Masters & PhD students from Agriculture, technology/water, social science faculties is also conducted]]>
      </abstract>
      <sumDscr>
        <timePrd date="2004-04-01" event="start" cycle="release coverage"/>
        <timePrd date="2012-12-31" event="end" cycle="release coverage"/>
        <collDate date="2004-04-01" event="start" cycle="Baseline"/>
        <collDate date="2005-08-26" event="end" cycle="Baseline"/>
        <collDate date="2006-01-16" event="start" cycle="Round 1"/>
        <collDate date="2006-08-25" event="end" cycle="Round 1"/>
        <collDate date="2006-09-11" event="start" cycle="Round 2"/>
        <collDate date="2006-12-20" event="end" cycle="Round 2"/>
        <collDate date="2007-02-12" event="start" cycle="Round 3"/>
        <collDate date="2007-07-20" event="end" cycle="Round 3"/>
        <collDate date="2008-04-07" event="start" cycle="Round 4"/>
        <collDate date="2008-09-10" event="end" cycle="Round 4"/>
        <collDate date="2008-10-06" event="start" cycle="Round 5"/>
        <collDate date="2009-03-31" event="end" cycle="Round 5"/>
        <collDate date="2009-04-01" event="start" cycle="Round 6"/>
        <collDate date="2009-06-29" event="end" cycle="Round 6"/>
        <collDate date="2009-07-01" event="start" cycle="Round 7"/>
        <collDate date="2009-12-17" event="end" cycle="Round 7"/>
        <collDate date="2010-01-01" event="start" cycle="Round 8"/>
        <collDate date="2010-06-28" event="end" cycle="Round 8"/>
        <collDate date="2010-08-05" event="start" cycle="Round 9"/>
        <collDate date="2011-01-31" event="end" cycle="Round 9"/>
        <collDate date="2011-02-07" event="start" cycle="Round 10"/>
        <collDate date="2011-06-06" event="end" cycle="Round 10"/>
        <collDate date="2011-08-01" event="start" cycle="Round 11"/>
        <collDate date="2011-11-15" event="end" cycle="Round 11"/>
        <collDate date="2012-01-05" event="start" cycle="Round 12"/>
        <collDate date="2012-04-30" event="end" cycle="Round 12"/>
        <collDate date="2012-06-01" event="start" cycle="Round 13"/>
        <collDate date="2012-11-30" event="end" cycle="Round 13"/>
        <nation abbr="UG">
          Uganda
        </nation>
        <geogCover>
          <![CDATA[The Iganga/mayuge  Hdss is located astride the two eastern districts of Iganga and Mayuge which is about 120 kilometres or two and half hour drive east from kampala, capital city of uganda along uganda-kenya high way.]]>
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          <![CDATA[Resident household members of households resident within the demographic surveillance area. Inmigrants are defined by intention to become resident, but actual residence episodes of less than 90 days are censored. Outmigrants are defined by intention to become residents else where, but actual periods of non-residence less than 90 days are censored. children born to resident women are considered residents by default, irrespective of actual place of birth.

The dataset contains the events of all individuals ever resident during the study period (Jan 2005-31 Dec 2012)]]>
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[This study represents a portion of the total data associated with the complete Iganga/Mayuge surveillance as described in the study abstract.

It specifically only includes the events defining the resident exposure of individuals under surveillance as well as delivery events of resident women. Each type of event contains minimal attributes describing the event.

Attributes common to each event:
Event type,
Event Date,
Observaton date


Migration
Origin & Destination

Delivery:
live born and still born counts]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="UG011" affiliation="Makerere university school of public health">
          Iganga/Mayuge Hdss
        </dataCollector>
        <frequenc>
          Two rounds of data collection are coducted every year except for 2007 where we had only one round
        </frequenc>
        <sampProc>
          <![CDATA[
The dataset is not based on a sample but contains information from the complete demographic surveillance area.
The number of house holds in the HDSS have been varying since 2005 because of inmigrants or entrants who establish new home steads in the HDSS

Year                      number of house holds

2005                     11742
2006                     11904
2007                     12153
2008                     12522
2009                     12729
2010                     13334
2011                     14251
2012                     14960]]>
        </sampProc>
        <deviat>
          None
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          <![CDATA[we have the following list of questionnaires used

house hold registration form
used to update the residency status of current residents.

Individual form
records basi information of indivduals new to the dss

individual information form
records extensive individual information about individuals includimg education, marital status of individual

death 
records information about deaths

pregnancy registration form
registers pregnancies

Pregnancy outcome
used to get information about birth

in and out migration forms

exit and entry forms

social economic form

Immunisation form

Injury form for collecting information on injuries


These questionnaires wre developed in english and each form is transilated in the local language, for each question in english there is a corresponding local language question.]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[Enumerators were trained immediately prior to the baseline data collection and then refresher trainings were conducted for one week between each surveillance round.
New field workers received a standard 6 week training course prior to appointment as data collectors. Data entry staff received field work training in addition to training in the data entry programs.]]>
        </collSitu>
        <actMin>
          field workers opeerated in teams oof 5-6 supervised by a team leader. Team leaders conducted supervised visits and quality control visits and reviewed field workers data collection.
        </actMin>
        <weight>
          Not applicable
        </weight>
        <cleanOps>
          <![CDATA[On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validaton failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. If the error was due to data inconsistencies that could not be directly traced to a data collection error, the record was referred to the data quality team under the supervision of the senior database scientist. This could request further field level investigation by a team of trackers or could correct the inconsistency directly at database level.

No imputations were done on the resulting micro data set, except for:

a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG).
b.  If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event.
c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG).
d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event.
e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG)

In the case of the village that was added (enumerated) in 2006, some individuals may have outmigrated from the original surveillance area and setlled in the the new village prior to the first enumeration. Where the records of such individuals have been linked, and indivdiual can legitmately have and outmigration event (OMG) forllowed by and enumeration event (ENU). In a few cases a homestead exit event (EXT) was followed by an enumeration event in these cases. In these instances the EXT events were changed to an out-migration event (OMG).]]>
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          <![CDATA[on average since the base line round, the response rate in the peri-urban setting has been 97%. 2.5% being not found at home and 0.5% being refusals.
In the rural setting, the response rate has been 99% with 1% being not found at homes. The refusal rate in the rural setting is almost negligible.
In both cases, follow ups are always made to reduce this non-reponse rate as much as possible.]]>
        </respRate>
        <EstSmpErr>
          Not applicable
        </EstSmpErr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Iganga/Mayuge (UG011)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anoymised 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:

"Iganga/Mayuge INDEPTH Core Dataset 2005-2012 (Residents only) Release 2015. provided by INDEPTH Network Data Repository. www.indepth-network.org<http://www.indepth-network.org>. doi: 10.7796/INDEPTH.UG011.CMD2012.v3 "]]>
        </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 relavant funding agencied bear no responsibility for the data's use or interpretation or inferences based upon it
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="DDI.INDEPTH.UG011.CMD2012.V3.Nesstar?Index=0&amp;Name=UG011.CMD2012.v3">
    <fileTxt>
      <fileName>
        UG011.CMD2012.v3.NSDstat
      </fileName>
      <fileCont>
        Event History Micro Data Set
      </fileCont>
      <dimensns>
        <caseQnty>
          329790
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <dataChck>
        <![CDATA[The following processing checks are done during the ETL process.

1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.
2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.
3. If the transition events are legal.
    The list of legal transitions:
    
    Birth followed by death
    Birth followed by exit
    Birth followed by end of observation
    Birth followed by outmigration
    
    Death followed by none
    
    Entry followed by death
    Entry followed by exit
    Entry followed by end of observation
    Entry followed by outmigration
    Enumeration followed by death
    Enumeration followed by exit
    Enumeration followed by outmigration
    
    Exit followed by entry
    
    Inmigration followed by Death
    Inmigration followed by exit
    Inmigration followed by end of observation
    Inmigration followed by outmigration
    
    End of observation followed by none
    
    Outmigration followed by none
    Outmigration followed by enumeration
    Outmigration followed by inmigration
    
    The list of illegal transitions:
    
    Birth followed by none
    Birth followed by birth
    Birth followed by entry
    Birth followed by enumeration
    Birth followed by   inmigration
     
    Death followed by birth
    Death followed by death
    Death followed by entry
    Death followed by enumeration
    Death followed by exit
    Death followed by inmigration
    Death followed by outmigration
    Death followed by end of observation
    
    Entry followed by none
    Entry followed by birth
    Entry followed by entry
    Entry followed by enumeration
    Entry followed by inmigration
    
    Enumeration followed by none
    Enumeration followed by birth
    Enumeration followed by entry
    Enumeration followed by enumeration
    Enumeration followed by inmigration
    
    Exit followed by birth
    Exit followed by death
    Exit followed by exit
    Exit followed by end of observation
    Exit followed by outmigration
    
    Inmigration followed by none
    Inmigration followed by birth
    Inmigration followed by entry
    Inmigration followed by enumeration
    Inmigration followed by inmigration
    
    End of observation followed by birth
    End of observation followed by death
    End of observation followed by entry
    End of observation followed by enumeration
    End of observation followed by exit
    End of observation followed by inmigration
    End of observation followed by end of observation
    End of observation followed by outmigration
    
    Outmigration followed by birth
    Outmigration followed by death
    Outmigration followed by exit
    Outmigration followed by end of observation
    Outmigration followed by outmigration
    
    List of edited events:
    
    Exit followed by none
    Exit followed by enumeration
    Exit followed by inmigration
    
    Outmigration followed by entry]]>
      </dataChck>
      <verStmt>
        <version>
          CMD2012.v1
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
B30730A863E3001CD7F422AE0CD060B1]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Centre Related variables
      </labl>
      <txt>
        This group has identifiers for country and centre
      </txt>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual Related Variables
      </labl>
      <txt>
        This group has identifiers for individuals
      </txt>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V1 V8 V9 V10 V11 V12" varGrp="VG4">
      <labl>
        Event Related Variables
      </labl>
      <txt>
        This group has event related identifiers
      </txt>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V13 V14">
      <labl>
        Birth Related variables
      </labl>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="contin">
      <labl>
        RecNr
      </labl>
      <valrng>
        <range min="1" max="330062"/>
      </valrng>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        329790
      </sumStat>
      <sumStat type="mean">
        164895.5
      </sumStat>
      <sumStat type="stdev">
        95202.317
      </sumStat>
      <txt>
        A sequencial numbr 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 min="800" max="800"/>
      </valrng>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country in which surveillance site is situation
      </txt>
      <catgry>
        <catValu>
          800
        </catValu>
        <catStat type="freq">
          329790
        </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">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        An identifier issued by INDEPTH to each member centre of the format CCCSS, where CCC is a sequential centre identifier and ss is a sequential identifier of the site within the centre in the case of mulitple site centres
      </txt>
      <catgry>
        <catValu>
          UG011
        </catValu>
        <catStat type="freq">
          329790
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range min="1" max="124526"/>
      </valrng>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        124526
      </sumStat>
      <sumStat type="mean">
        62269.089
      </sumStat>
      <sumStat type="stdev">
        35948.996
      </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 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 min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        sex of individual
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          148827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          180963
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="min">
        1890-05-15
      </sumStat>
      <sumStat type="max">
        2012-12-31
      </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="discrete">
      <labl>
        EventCount
      </labl>
      <valrng>
        <range min="2" max="13"/>
      </valrng>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The total number of events associated with this individual in this data set
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          125684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          133410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          42104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          17135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          7824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="discrete">
      <labl>
        EventNr
      </labl>
      <valrng>
        <range min="1" max="13"/>
      </valrng>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurrence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          123052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          123052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          60210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          15740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <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">
        329790
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code identifying the type of event that has occured
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          16341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          9820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <catStat type="freq">
          3393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          12039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          65296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          12171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-Migration
        </labl>
        <catStat type="freq">
          43273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation End
        </labl>
        <catStat type="freq">
          123052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Last Observation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBS
        </catValu>
        <labl>
          Observation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <labl>
          Out-Migration
        </labl>
        <catStat type="freq">
          44405
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        329790
      </sumStat>
      <sumStat type="min">
        2005-01-01
      </sumStat>
      <sumStat type="max">
        2013-01-01
      </sumStat>
      <txt>
        The date on which the event occured. 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">
        253938
      </sumStat>
      <sumStat type="min">
        1900-06-24
      </sumStat>
      <sumStat type="max">
        2013-10-14
      </sumStat>
      <txt>
        Date on which the event was observed 9recorded), 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 min="1" max="14022"/>
      </valrng>
      <sumStat type="vald">
        171584
      </sumStat>
      <sumStat type="invd">
        158206
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        14022
      </sumStat>
      <sumStat type="mean">
        7003.232
      </sumStat>
      <sumStat type="stdev">
        4045.386
      </sumStat>
      <txt>
        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. This identifier is not to be the same as the identifier used internally by the contributing centre
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="MotherId" files="F1" dcml="0" intrvl="contin">
      <labl>
        MotherId
      </labl>
      <valrng>
        <range min="10" max="124526"/>
      </valrng>
      <sumStat type="vald">
        26174
      </sumStat>
      <sumStat type="invd">
        303616
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        124524
      </sumStat>
      <sumStat type="mean">
        62122.724
      </sumStat>
      <sumStat type="stdev">
        36113.352
      </sumStat>
      <txt>
        the individualid of the mother. only provided for BTH events.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="DeliveryId" files="F1" dcml="0" intrvl="contin">
      <labl>
        DeliveryId
      </labl>
      <valrng>
        <range min="1" max="48244"/>
      </valrng>
      <sumStat type="vald">
        26174
      </sumStat>
      <sumStat type="invd">
        303616
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        48244
      </sumStat>
      <sumStat type="mean">
        160.575
      </sumStat>
      <sumStat type="stdev">
        2237.174
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
