iSHARE2 Technical Team
INDEPTH Network
Data & Measurement Unit of KE031
Nelson Mbaya
2017-05-17
Nesstar Publisher
CMD2014.V1 (17 May 2017)
v1: 17 May 2017 - Data quality metrics added and a review of whole documentation conducted for public distribution
Nairobi HDSS INDEPTH Core Dataset 2003-2014 (Release 2017)
INDEPTH.KE031.CMD2014.v1
Dr.Alex Ezeh
Dr.Donatien Beguy
Residents of Korogocho and Viwandani Slums
Clement Oduor
Kanyiva Muindi
Nelson Mbaya
Marylene Wamukoya
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.
Nesstar Publisher
Bill and Melinda Gates Foundation, USA
William and Flora Hewlett Foundation, USA
Swedish International Development Cooperation Agency
Wellcome Trust, UK
Rockefeller Foundation, USA
iSHARE2 Helpdesk
Demographic Surveillance
CMD2014.v1: Cleaned and anonymised dataset of the Core Microdata 2002-2014 for public distribution
Migration
Fertility
Mortality
Population
Demography [N01.224]
Age Distribution [N01.224.033]
Censuses [N01.224.175]
Family Characteristics [N01.224.361]
Health Status Disparities [N06.850.505.400.425.675]
Population Dynamics [N01.224.625]
Residential Mobility [N01.224.791.700]
Residence Characteristics [N01.224.791]
Sex Ratio [N01.224.803.815]
Vital Statistics [N01.224.935]
Urban Health [N01.400.800]
Urban Population [N01.600.900]
Educational Status [N01.824.196]
Employment [N01.824.245]
Occupations [N01.824.547]
Poverty [N01.824.600]
Social Conditions [N01.824.827]
Policy [N03.623]
Health Services Research [N05.425]
Epidemiologic Factors [N05.715.350]
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.
Kenya
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.
Individual
Event history data
- CORE DATA:Enumeration, Birth, Migration and Death
Data and Measurement Unit
Three rounds in a year
None
Proxy Respondent [proxy]
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.
Not applicable
Not applicable for Surveillance Data
Nairobi (KE031)
This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required
iSHARE2 Help desk
.
doi:10.7796/INDEPTH.KE031.CMD2014.v1"]]>
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
KE031.CMD2014.v1.NSDstat
This file contains the INDEPTH Core Microdataset of Nairobi Urban HDSS. The file was generated using ETL through Pentaho Kettle.
964531
14
Nesstar 200801
Nairobi Urban HDSS
CMD2014.v1
Centre Related Variables
This group has identifiers for country and centre.
These are the variables that uniquely identify the Center and the Country from which these data were created.
Individual Related Variables
This group has identifiers for individuals.
Event Related Variables
This group has event related variables.
Birth Related Variables
This group contains Birth (BTH) related variables.
RecNr
964531
0
1
964531
482266
278436.261
A sequential number uniquely identifying each record in the data file
CountryId
964531
0
ISO 3166-1 numeric code of the country in which the surveillance site is situated
301
964531
CentreId
964531
0
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 multiple site centres
KE031
964531
IndividualId
964531
0
1
211602
98554.215
57807.946
A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not be the same as the identifier used by a contributing centre to identify the individual.
Sex
964531
0
Sex of the individual.
0
Unknown
0
1
Male
515150
2
Female
449381
DoB
964531
1901-08-10
9999-08-25
The date of birth of the individual. Format: YYYY-MM-DD
EventCount
964531
0
2
36
6.369
4.121
The total number of events associated with this individual in this data set
EventNr
964531
0
1
36
3.684
2.993
A number increasing from 1 to EventCount for each event record in order of event occurrence
EventCode
964530
0
A code identifying the type of event that has occurred.
BTH
Birth
23818
DLV
Delivery
22872
DTH
Death
5621
ENT
Location Entry
160072
ENU
Enumeration
54912
EXT
Location Exit
160072
IMG
In-Migration
158249
OBE
Observation End
210291
OBL
Last Observation
0
OBS
Observation
0
OMG
Out-Migration
168623
EventDate
964531
2002-08-01
2015-01-01
The date on which the event occurred. Format: YYYY-MM-DD
ObservationDate
69754
2014-07-28
2017-04-05
Date on which the event was observed (recorded), also known as surveillance visit date. Format: YYYY-MM-DD
2014-07-28
2
2014-10-31
1
2014-11-04
1
2014-11-18
1
2014-11-23
3
2014-12-02
3
2014-12-31
62736
2015-03-07
1
2015-03-08
1
2015-03-10
2
2015-03-15
3
2015-03-18
3
2015-03-19
2
2015-03-22
4
2015-03-24
3
2015-03-25
4
2015-03-26
9
2015-03-27
4
2015-03-28
2
2015-03-29
1
2015-03-31
2
2015-04-01
5
2015-04-02
3
2015-04-07
3
2015-04-08
10
2015-04-09
2
2015-04-11
2
2015-04-12
9
2015-04-13
1
2015-04-14
6
2015-04-15
3
2015-04-16
1
2015-04-17
1
2015-04-18
5
2015-04-19
2
2015-04-21
7
2015-04-22
10
2015-04-23
1
2015-04-24
14
2015-04-25
1
2015-04-26
2
2015-04-28
5
2015-04-29
4
2015-04-30
4
2015-05-02
10
2015-05-03
13
2015-05-05
9
2015-05-06
7
2015-05-07
9
2015-05-08
5
2015-05-10
5
2015-05-12
1
2015-05-13
3
2015-05-14
10
2015-05-15
5
2015-05-16
2
2015-05-17
6
2015-06-20
5
2015-06-21
7
2015-06-22
2
2015-06-23
4
2015-07-03
6
2015-07-04
3
2015-07-05
11
2015-07-06
2
2015-07-07
14
2015-07-08
11
2015-07-09
23
2015-07-10
14
2015-07-11
21
2015-07-12
17
2015-07-13
4
2015-07-18
2
2015-07-19
21
2015-07-20
29
2015-07-21
8
2015-07-22
43
2015-07-23
16
2015-07-24
33
2015-07-25
38
2015-07-26
23
2015-07-27
6
2015-07-28
19
2015-07-29
24
2015-07-30
48
2015-07-31
47
2015-08-01
28
2015-08-02
23
2015-08-03
7
2015-08-04
32
2015-08-05
6
2015-08-06
15
2015-08-07
48
2015-08-08
25
2015-08-09
73
2015-08-10
8
2015-08-11
16
2015-08-12
31
2015-08-13
38
2015-08-14
48
2015-08-15
20
2015-08-16
25
2015-08-17
4
2015-08-18
52
2015-08-19
47
2015-08-20
8
2015-08-21
20
2015-08-22
42
2015-08-23
65
2015-08-24
13
2015-08-25
13
2015-08-26
38
2015-08-27
47
2015-08-30
27
2015-08-31
14
2015-09-01
18
2015-09-02
21
2015-09-03
11
2015-09-04
39
2015-09-05
47
2015-09-06
62
2015-09-07
7
2015-09-08
14
2015-09-09
58
2015-09-10
54
2015-09-11
35
2015-09-12
41
2015-09-13
48
2015-09-14
2
2015-09-15
34
2015-09-16
32
2015-09-17
45
2015-09-18
21
2015-09-19
30
2015-09-20
25
2015-09-22
37
2015-09-23
5
2015-09-24
15
2015-09-25
22
2015-09-26
19
2015-09-27
34
2015-09-29
34
2015-09-30
38
2015-10-01
36
2015-10-02
39
2015-10-03
40
2015-10-04
65
2015-10-05
25
2015-10-06
14
2015-10-07
52
2015-10-08
57
2015-10-09
42
2015-10-10
30
2015-10-11
34
2015-10-12
11
2015-10-13
8
2015-10-14
62
2015-10-15
20
2015-10-16
37
2015-10-17
62
2015-10-18
47
2015-10-19
7
2015-10-20
16
2015-10-21
25
2015-10-22
34
2015-10-23
80
2015-10-24
43
2015-10-25
47
2015-10-26
10
2015-10-27
38
2015-10-28
43
2015-10-29
25
2015-10-30
59
2015-10-31
33
2015-11-01
40
2015-11-02
15
2015-11-03
11
2015-11-04
22
2015-11-05
18
2015-11-06
66
2015-11-07
59
2015-11-08
23
2015-11-09
8
2015-11-10
2
2015-11-11
26
2015-11-12
19
2015-11-13
32
2015-11-14
41
2015-11-15
18
2015-11-16
13
2015-11-17
39
2015-11-18
34
2015-11-19
35
2015-11-20
32
2015-11-21
24
2015-11-22
33
2015-11-23
1
2015-11-24
10
2015-11-25
62
2015-11-26
20
2015-11-27
22
2015-11-28
33
2015-11-29
25
2015-12-01
53
2015-12-02
30
2015-12-03
14
2015-12-04
41
2015-12-05
30
2015-12-06
43
2015-12-07
17
2015-12-08
41
2015-12-09
49
2015-12-10
32
2015-12-11
60
2015-12-12
14
2015-12-13
31
2015-12-14
23
2015-12-15
38
2015-12-16
30
2015-12-17
41
2015-12-18
35
2015-12-19
67
2015-12-20
22
2015-12-21
46
2016-01-21
8
2016-01-22
12
2016-01-23
23
2016-01-24
12
2016-01-25
8
2016-01-26
13
2016-01-27
4
2016-01-28
9
2016-01-30
7
2016-01-31
9
2016-02-05
4
2016-02-06
12
2016-02-07
10
2016-02-08
7
2016-02-09
15
2016-02-10
5
2016-02-11
15
2016-02-12
12
2016-02-13
6
2016-02-14
22
2016-02-15
4
2016-02-16
17
2016-02-17
18
2016-02-18
14
2016-02-19
5
2016-02-20
26
2016-02-21
10
2016-02-22
4
2016-02-23
11
2016-02-24
10
2016-02-25
19
2016-02-26
12
2016-02-27
19
2016-02-28
4
2016-02-29
6
2016-03-01
14
2016-03-02
16
2016-03-03
12
2016-03-04
7
2016-03-05
9
2016-03-06
3
2016-03-07
2
2016-03-08
15
2016-03-09
4
2016-03-10
22
2016-03-11
7
2016-03-12
1
2016-03-13
7
2016-03-15
16
2016-03-16
12
2016-03-17
11
2016-03-18
20
2016-03-19
11
2016-03-20
17
2016-03-21
6
2016-03-22
7
2016-03-23
12
2016-03-24
7
2016-03-25
2
2016-03-28
2
2016-03-29
12
2016-03-30
20
2016-03-31
3
2016-04-01
11
2016-04-02
13
2016-04-03
5
2016-04-04
6
2016-04-05
3
2016-04-06
15
2016-04-07
10
2016-04-08
14
2016-04-09
6
2016-04-10
12
2016-04-11
6
2016-04-12
8
2016-04-13
13
2016-04-14
22
2016-04-15
2
2016-04-16
1
2016-04-17
6
2016-04-19
4
2016-04-20
2
2016-04-21
6
2016-04-22
6
2016-04-23
8
2016-04-24
8
2016-04-25
11
2016-04-26
4
2016-04-27
1
2016-04-28
10
2016-06-10
1
2016-06-11
3
2016-06-12
2
2016-06-13
3
2016-06-14
7
2016-06-15
7
2016-06-16
11
2016-06-17
5
2016-06-18
2
2016-06-19
6
2016-06-20
2
2016-06-21
5
2016-06-22
10
2016-06-23
6
2016-06-24
5
2016-06-25
10
2016-06-26
19
2016-06-27
7
2016-06-28
10
2016-06-29
8
2016-06-30
16
2016-07-01
1
2016-07-02
16
2016-07-03
13
2016-07-04
4
2016-07-05
4
2016-07-06
1
2016-07-07
8
2016-07-08
12
2016-07-09
10
2016-07-10
4
2016-07-11
4
2016-07-12
9
2016-07-13
13
2016-07-14
1
2016-07-15
1
2016-07-16
11
2016-07-17
8
2016-07-18
6
2016-07-19
11
2016-07-20
11
2016-07-21
7
2016-07-24
11
2016-07-25
8
2016-07-26
19
2016-07-27
7
2016-07-28
11
2016-07-29
8
2016-07-30
1
2016-07-31
11
2016-08-02
3
2016-08-03
5
2016-08-04
1
2016-08-05
11
2016-08-06
5
2016-08-07
20
2016-08-09
9
2016-08-10
3
2016-08-11
3
2016-08-12
7
2016-08-13
5
2016-08-14
2
2016-08-15
2
2016-08-16
7
2016-08-17
11
2016-08-18
5
2016-08-19
1
2016-08-20
8
2016-08-21
4
2016-08-22
9
2016-08-23
3
2016-08-24
4
2016-08-25
7
2016-08-26
26
2016-08-27
14
2016-08-28
4
2016-08-29
2
2016-08-30
10
2016-08-31
26
2016-09-01
5
2016-09-02
2
2016-09-03
3
2016-09-04
11
2016-09-05
2
2016-09-06
12
2016-09-07
2
2016-09-08
5
2016-09-10
8
2016-09-14
2
2016-09-29
6
2016-09-30
1
2016-10-01
1
2016-10-02
3
2016-10-04
4
2016-10-05
6
2016-10-06
1
2016-10-07
3
2016-10-08
9
2016-10-10
2
2016-10-11
3
2016-10-12
1
2016-10-13
3
2016-10-14
2
2016-10-15
12
2016-10-16
3
2016-10-17
3
2016-10-18
2
2016-10-19
4
2016-10-21
13
2016-10-22
15
2016-10-23
5
2016-10-25
3
2016-10-26
7
2016-10-27
1
2016-10-28
5
2016-10-30
5
2016-11-01
7
2016-11-02
4
2016-11-03
8
2016-11-04
2
2016-11-05
2
2016-11-06
12
2016-11-07
1
2016-11-08
4
2016-11-10
4
2016-11-11
2
2016-11-13
3
2016-11-16
2
2016-11-17
2
2016-11-18
2
2016-11-19
4
2016-11-20
5
2016-11-21
1
2016-11-22
2
2016-11-23
5
2016-11-24
1
2016-11-25
5
2016-11-26
2
2016-11-27
4
2016-11-29
5
2016-11-30
5
2016-12-04
2
2016-12-06
15
2016-12-07
4
2016-12-09
4
2016-12-10
3
2016-12-11
2
2016-12-13
7
2016-12-18
2
2017-01-18
1
2017-01-19
3
2017-01-20
3
2017-01-21
4
2017-01-22
3
2017-01-23
4
2017-01-24
1
2017-01-25
2
2017-01-27
1
2017-01-28
3
2017-01-29
2
2017-02-01
3
2017-02-02
1
2017-02-03
4
2017-02-05
2
2017-02-07
2
2017-02-08
1
2017-02-09
4
2017-02-10
5
2017-02-11
5
2017-02-12
2
2017-02-13
2
2017-02-16
1
2017-02-17
6
2017-02-18
7
2017-02-19
4
2017-02-20
2
2017-02-21
2
2017-02-22
5
2017-02-23
1
2017-02-24
1
2017-02-25
2
2017-02-26
4
2017-03-01
2
2017-03-02
3
2017-03-03
1
2017-03-06
1
2017-03-07
1
2017-03-08
1
2017-03-09
1
2017-03-14
3
2017-03-15
2
2017-03-17
2
2017-03-19
1
2017-03-21
2
2017-03-24
2
2017-03-25
2
2017-03-26
6
2017-03-29
3
2017-03-30
2
2017-03-31
1
2017-04-02
1
2017-04-04
2
2017-04-05
2
LocationId
964529
2
1
48237
22374.182
12900.13
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 be the same as the identifier used internally by the contributing centre.
MotherId
46424
918107
3
211595
95372.189
56181.105
The IndividualId of the mother. Only provided for BTH events.
DeliveryId
46424
918107
The RecNr of the delivery event associated with this birth