Kenya - Nairobi HDSS INDEPTH Core Dataset 2003-2015 (Release 2018)
Reference ID | INDEPTH.KE031.CMD2015.v1 |
Year | 2003 - 2015 |
Country | Kenya |
Producer(s) |
Dr. Catherine Kyobutungi (From October 2017) - Site Leader, KE031 Marylene Wamukoya (From January 2017) - Site Representative, KE031 Dr.Alex Ezeh (Up to October 2017) - Site Leader, 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) | |
Metadata | Documentation in PDF |
Created on
Jun 30, 2018
Last modified
Jun 30, 2018
Page views
52462
Data Dictionary
Data File: KE031.CMD2015.v2
Content | This file contains the INDEPTH Core Microdataset of Nairobi Urban HDSS. The file was generated using ETL through Pentaho Kettle. |
Cases | 981054 |
Variable(s) | 14 |
Version | KE031.CMD2015.v2 |
Producer | Nairobi Urban HDSS |
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%) The following are the other 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 Outmigration followed by entry |
Notes | MD5Hash a53ffca91c84a5f7fc74fa2fafa7ff49 |
Variables
Name | Label | Question | |
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 |