Nairobi Urban HDSS INDEPTH Core Dataset 2003 - 2014 (Release 2017)

Kenya, 2003 - 2014

Get Microdata

Reference ID

KEN_2003-2014_INDEPTH-NUHDSS_v01_M

Producer(s)

Dr.Alex Ezeh, Dr.Donatien Beguy

Metadata

DDI/XML JSON

Study website

Created on

Dec 22, 2014

Last modified

Mar 29, 2019

Page views

3315

Identification

Survey ID number

KEN_2003-2014_INDEPTH-NUHDSS_v01_M

Title

Nairobi Urban HDSS INDEPTH Core Dataset 2003 - 2014 (Release 2017)

Country

Name	Country code
Kenya	KEN

Study type

Demographic Surveillance

Series Information

This data is collected from Rounds 1 to 38 of the demographic surveillance rounds. The 1st round of data collection started on 1st August 2002, and as of 31st December 2015, 38 rounds of data collection had been completed. Data is collected 3 times year, once after every 4-months.

Abstract

The places we live affect our health status and the choices and opportunities we have (or do not have) to lead fulfilling lives. Over the past ten years, the African Population & Health Research Centre (APHRC) has led pioneering work in highlighting some of the major health and livelihood challenges associated with rapid urbanization in sub-Saharan Africa (SSA). In 2002, the Centre established the first longitudinal platform in urban Africa in the city of Nairobi in Kenya. The platform known as the Nairobi Urban Health and Demographic Surveillance System collects data on two informal settlements - Korogocho and Viwandani - in Nairobi City every four months on issues ranging from household dynamics to fertility and mortality, migration and livelihood as well as on causes of death, using a verbal autopsy technique. The dataset provided here contains key demographic and health indicators extracted from the longitudinal database. Researchers interested in accessing the micro-data can look at our data access policy and contact us.

Kind of Data

Event history data

Unit of Analysis

Individual

Version

Version Description

CMD2014.v1: Cleaned and anonymized dataset of the core microdata 2002-2014 for public distribution

Version Date

2017-05-17

Version Notes

17 May 2017 - Raw dataset first extracted and cleaning completed.

Scope

Notes

Enumeration, Birth, Migration and Death

Topics

Topic	Vocabulary	URI
Demography [N01.224]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Age Distribution [N01.224.033]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Censuses [N01.224.175]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Family Characteristics [N01.224.361]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Health Status Disparities [N06.850.505.400.425.675]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Population Dynamics [N01.224.625]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Residential Mobility [N01.224.791.700]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Residence Characteristics [N01.224.791]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Sex Ratio [N01.224.803.815]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Vital Statistics [N01.224.935]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Urban Health [N01.400.800]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Urban Population [N01.600.900]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Educational Status [N01.824.196]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Employment [N01.824.245]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Occupations [N01.824.547]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Poverty [N01.824.600]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Social Conditions [N01.824.827]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Policy [N03.623]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Health Services Research [N05.425]	MeSH	http://www.ncbi.nlm.nih.gov/mesh
Epidemiologic Factors [N05.715.350]	MeSH	http://www.ncbi.nlm.nih.gov/mesh

Keywords

Migration Fertility Mortality Population

Coverage

Geographic Coverage

The Demographic Surveillance Area (combining Viwandani and Korogocho slum settlements) covers a land area of about 0.97 km2, with the two informal settlements located about 7 km from each other. Korogocho is located 12 km from the Nairobi city center; in Kasarani division (now Kasarani district), while Viwandani is about 7 km from Nairobi city center in Makadara division (now Madaraka district). The DSA covers about seven villages each in Korogocho and Viwandani.

Universe

Between 1st January and 31st December,2015 the Nairobi HDSS covered 86,304 individualis living in 30,219 households distributed across two informal settlements(Korogocho and Viwandani) were observed. All persons who sleep in the household prior to the day of the survey are included in the survey, while non-resident household members are excluded from the survey.

The present universe started out through an initial census carried out on 1st August,2002 of the population living in the two Informal settlements (Korogocho and Viwandani). Regular visits have since then been made (3 times a year) to update information on births, deaths and migration that have occurred in the households observed at the initial census. New members join the population through a birth to a registered member, or an in-migration, while existing members leave through a death or out-migration. The DSS adopts the concept of an open cohort that allows new members to join and regular members to leave and return to the system.

Producers and sponsors

Primary investigators

Name	Affiliation
Dr.Alex Ezeh	Site Leader, KE031
Dr.Donatien Beguy	Site Representative, KE031

Producers

Name	Affiliation	Role
Clement Oduor	Field Coordinator	Data Collection
Kanyiva Muindi	Research Officer	Questionnaire Design
Nelson Mbaya	Database Programmer	Data Processing
Marylene Wamukoya	Data Manager	Data Cleaning and Analysis
Patricia Elung'ata	Data Manager	Data Cleaning and Analysis

Funding Agency/Sponsor

Name	Role
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
Rockefeller Foundation, USA	Previous Funder

Other Identifications/Acknowledgments

Name	Affiliation	Role
Residents of Korogocho and Viwandani Slums	APHRC	Study Subjects
Nelson Mbaya	APHRC	Database Programmer
Residents of Korogocho and Viwandani Slums	APHRC	Study Subjects

Sampling

Sampling Procedure

This dataset is related to the whole demographic surveillance area population. The number of respondents has varied over the last 13 years (2002-2015), with variations being observed at both household level and at Individual level. As at 31st December 2015, 66,848 were being observed under the Nairobi HDSS living in 25,812 households distributed across two informal settlements(Korogocho and Viwandani). The variable IndividualId uniquely identifies every respondent observed while the variable LocationId uniquely identifies the room in which the individual was living at any point in time. To identify individuals who were living together at any one point in time (a household) the data can be split on location and observation dates.

Deviations from the Sample Design

None

Response Rate

Over the years the response rate at household level has varied between 95% and 97% with response rate at Individual Level varying between 92% and 95%. Challenges to acheiving a 100% response rate have included:

high population mobility within the study area
high population attrition
respondent fatigue
security in some areas

Weighting

Not applicable

Survey instrument

Questionnaires

Questionnaires are printed and administered in Swahili, the country's national language.

The questionnaires for the Nairobi HDSS were structured questionnaires based on the INDEPTH Model Questionnaire and were translated into Swahili with some modifications and additions.After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation from the Swahili version was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators. The English and Swahili questionnaires were both piloted as part of the survey pretest.

At baseline, a household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. In later rounds questionnaires to track the migration of the population observed at baseline, and additonal questionnaires to capture demographic and health events happening to the population have been introduced.

Data collection

Dates of Data Collection

Start	End	Cycle
2003-01-01	2014-12-31	Release Coverage
2002-10-16	2002-12-23	Round 1
2003-01-21	2003-04-06	Round 2
2003-05-04	2003-08-31	Round 3
2003-09-17	2003-12-23	Round 4
2004-01-23	2004-05-06	Round 5
2004-05-28	2004-09-20	Round 6
2004-09-25	2004-12-23	Round 7
2005-01-23	2005-06-06	Round 8
2005-06-14	2005-09-26	Round 9
2005-09-27	2005-12-24	Round 10
2006-01-13	2006-04-30	Round 11
2006-05-01	2006-08-31	Round 12
2006-09-01	2007-01-30	Round 13
2007-02-04	2007-05-27	Round 14
2007-05-29	2007-09-15	Round 15
2007-09-25	2007-12-31	Round 16
2008-01-01	2008-08-23	Round 17
2008-09-01	2008-12-31	Round 18
2009-01-01	2009-05-31	Round 19
2009-06-23	2009-09-20	Round 20
2009-10	2009-12-16	Round 21
2010-01-20	2010-04-20	Round 22

Frequency of Data Collection

Three rounds in a year

Time periods

Start date	End date	Cycle
2002-08-01	2011-12-31	Release coverage

Data Collectors

Name	Affiliation
Data and Measurement Unit	African Population and Health Research Center

Supervision

Interviewing is conducted by teams of interviewers. Each interviewing team comprised 3-4 interviewers, a field editor and a site supervisors. The role of the supervisor is to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accomodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office. The field editor is responsible for reviewing each questionnaire at the end of the day, checking for missed questionnaires, skip errors, fields incorrectly completed, and checking for inconsistencies in the data. The field editor also observed interviews and conducted review sessions with interviewers. Responsibilities of the supervisors and field editors are described in the Instructions for Supervisors and Field Editors, together with the different field controls that were in place to control the quality of the fieldwork.

Data Collection Notes

Interviews are conducted in Swahili (the country's national language), with translation into the local dialects in specific situations where the respondent is unable to understand Swahili. A detailed 4-week training of enumerators was conducted at baseline. Currently, 3-5 days refresher trainings are conducted at the start of each new round of data collection

The field team constitutes 32 staff: 25 interviewers,4 team leaders, 2 supervisors, and 1 field coordinator. On average a complete household interview takes between 30 minutes and 45 minutes to complete. Interviews took place everyday throughout the field work period, with teams being permitted to take only one day off per week.

Prior to the baseline detailed community sensitization was undertaken, in latter rounds however community liaison has constituted, feedback barazas, and intervention activities targeted to address community health-related problems identified during the data collection. Intervention activities are carried out through piggy-back studies with targeted interventions, for example a maternal and child health study had a component of interventions to address mother and child health-complications, or through bi-annual health camps at which free medical treatment is provided for conditions identified as prevalent in the community during data collection.

Data processing

Data Editing

Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of STATA data files

Where changes were made by the program, a cold deck imputation is preferred; where incorrect values were imputed using existing data from another dataset. If cold deck imputation was found to be insufficient, hot deck imputation was used, In this case, a missing value was imputed from a randomly selected similar record in the same dataset.

Some corrections are made automatically by the program(80%) and the rest by visual control of the questionnaires (20%).

100% forms filled in by FRAs are rechecked for completeness, ensured that all the necessary event forms are filled in.
Spot checks are done on field over data collection by FRAs for reliability of data.
FRS instructs revisits wherever required.
Forms are checked on sample basis
Checks if all the necessary event forms are filled in.
Forms with inconsistencies identified at the time of entry are sent back to the field.
Creating and managing data entry checks for picking up inconsistencies
Monitoring field work: balancing work target and quality.
Dealing with data inconsistencies at data level and giving feedbacks to field staff.
Conducting training and refresher training wherever required.
Data cleaning

Data appraisal

Estimates of Sampling Error

Not applicable for surveillance data

Data Appraisal

CentreId MetricTable QMetric Illegal Legal Total Metric RunDate
KE031 MicroDataCleaned Starts 219285 2017-05-16 18:25
KE031 MicroDataCleaned Transitions 825036 825036 0 2017-05-16 18:25
KE031 MicroDataCleaned Ends 219285 2017-05-16 18:25
KE031 MicroDataCleaned SexValues 825036 2017-05-16 18:25
KE031 MicroDataCleaned DoBValues 42 824994 825036 0 2017-05-16 18:25

Access policy

Location of Data Collection

INDEPTH Data Repository

Archive where study is originally stored

Nairobi (KE031)

Data Access

Access authority

Name	Affiliation	URL	Email
iSHARE2 Help desk	INDEPTH Network	http://indepth-ishare.org	help-data@indepth-network.org

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required.

Access conditions

This data is made available for licensed access under the following conditions

Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement.
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.
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.
No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals.
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.
An electronic copy of all publications based on the requested data will be sent to INDEPTH.
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.

Citation requirements

Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

"Nairobi HDSS INDEPTH Core Dataset 2003-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.orghttp://www.indepth-network.org.
doi:10.7796/INDEPTH.KE031.CMD2014.v1"

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collector of the data (APHRC), INDEPTH Network, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.

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.

Contacts

Name	Affiliation	Email	URL
iSHARE2 Helpdesk	INDEPTH Network	help-data@indepth-network.org	http://indepth-ishare.org/howtouse

Metadata production

DDI Document ID

DDI_KEN_2003-2014_INDEPTH-NUHDSS_v01_M

Producers

Name	Affiliation	Role
iSHARE2 Technical Team	INDEPTH Network	Technical Support
Data & Measurement Unit of KE031	Nairobi Urban HDSS, APHRC	Documentation of the study
Nelson Mbaya	Nairobi Urban HDSS, APHRC	DDI author

Date of Metadata Production

2017-05-17

Metadata version

DDI Document version

v01 (May 2017)
The DDI was produced by INDEPTH Network. It was downloaded on October 13, 2017 from http://www.indepth-ishare.org/index.php/catalog/127/ by the World Bank Microdata Library documentation team.
v02 (October 2017)
Modifications in the study ID and DDI ID were done by the World Bank Microdata Library documentation team to match the standard used by the library and the IHSN Survey Catalog. Some metadata fields were also edited.

Version notes

v1: 17 May 2017 - Data quality metrics added and a review of whole documentation conducted for public distribution

Back to Catalog