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    • Kenya - Nairobi INDEPTH Core Dataset 2002-2011

    Africa-2014
    Reference ID INDEPTH.KE031CMD2011.v4
    Year 2002
    Country Kenya
    Producer(s) Dr.Alex Ezeh - Site Leader, KE031
    Dr.Donatien Beguy - Site Representative, KE031
    Sponsor(s) Bill and Melinda Gates Foundation, USA - - Current Funder
    William and Flora Hewlett Foundation, USA - - Current Funder
    Swedish International Development Cooperation Agency - - Current Funder
    Wellcome Trust, UK - - Previous Funder
    Rock
    Collection(s)
    Africa Region – Release 2014
    Metadata PDF Documentation in PDF
    Created on
    Jun 30, 2014
    Last modified
    Jul 26, 2015
    Page views
    65870
    Data Dictionary

    Data File: KE031.CMD2011

    Content This file contains the INDEPTH Core Microdataset. The file was generated using ETL through Pentaho Kettle.
    Cases 772969
    Variable(s) 14
    Version 2.6
    Producer Statistics and Surveys Unit (SSU)
    Missing Data Missing Data is coded as follows:
    -Missing Data: No data or a missing data is assigned the code(95,995,etcetera). All missing values should be coded as 5,95,995, etcetera, depending on the value of the largest valid code in that variable.
    - Response Not Within the Pre-Defined Range/Domain: A data code(96,996,etcetera) provided where response was outside the range/domain pre-defined during study design. A variable that contains this code is often succeeded by a variable that contains the specific response. Check the succeeding variable to ensure no missing values exist where a response was expected.
    -Refusals: A data code (97,997,etcetera) is used to indicate that the respondent refused to respond to this question.
    -"Don't Know" Responses: A data code(98,998,etcetera) is used to indicate that the respondent did not know the answer to the question.
    -Skipped Questions: A data code(99,999,etcetera) is used to indicate that the respondent was not eligible to answer the particular question.
    Processing Checks The following processing checks are carried out during the ETL process:-
    -Range Checks: This ensures that every variable contains only data within a predefined domain of valid values
    -Skip Checks: This will verify that skip patterns have been followed appropriately during data collection and data entry.
    -Consistency Checks: These checks ensure that values from one question are consistent with values from another question. This is especially important where two or more variables contain similar or interlinked information.
    -Typographical Checks: These checks are necessary to identify and correct typographical and spelling errors in variables.
    -Checks Against Reference Data: These checks ensure that newly added data is consistent with existing data about the statistical unit under survey. This is especially important for longitudinal surveys and embedded studies. This check could be done by pre-printing information on questionnaires during pre-survey activities.
    Some corrections are made automatically by the program(80%) , others by visual control of the questionnaires (20%)
    Other Checks:
    1. If the first event is legal. Like the first event must be enumeration, birth or inmigration.
    2. If the last event is legal. Like the last event must be end of observation, 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
    Notes MD5Hash
    6fbd87645ef75c3b452f15de588b42c6

    Variables

    NameLabelQuestion
    RecNr RecNr
    CountryId CountryId
    CentreId CentreId
    IndividualId IndividualId
    Sex Sex
    DoB DoB
    EventCount EventCount
    EventNr EventNr
    EventCode EventCode
    EventDate EventDate
    ObservationDate ObservationDate
    LocationId LocationId
    MotherId MotherId
    DeliveryId DeliveryId
    Total variable(s): 14