Greater Eldoret Health and Development Survey (Round 2) 2005 - Research Use Files
Kenya, 2005
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Reference ID
KEN_2005_GEHDS_v01_M_v01_A_RUF
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
175729
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- Data files
- ag_a
- ag_b
- ag_c
- ag_d
- anthrop_a
- anthrop_b
- anthrop_c
- assets
- assets_I8
- assets_I17
- assets_II5
- assets_II11
- assets_IV7
- assets_IV13
- assets_V
- assets_VI5
- assets_VI12
- behavior
- behavior_c4
- education
- educexp
- famback
- famback_II
- famback_III
- famback_IV
- famback_V
- food
- health
- health_c
- health_c_I
- health_c_II
- health_c_III
- health_c_IV
- hhr_correction
- hhroster_1
- hhroster_2
- housing
- housing_2
- identification
- income
- iroster
- marriage
- marriage_b
- marriage_c
- mortality
- mortality_b
- networks
- networks_a
- networks_b
- networks_c
- networks_c9
- networks_c10
- networks_d
- networks_e
- othexp
- shocks
- shocks_a3
- shocks_a7
- shocks_a11
- shocks_a15
- shocks_a19
- shocks_a24
- shocks_b30
- shocks_b33
- shocks_b40
- shocks_c45
- shocks_c49
- shocks_c53
- timerisk
- transfers
- transfers_a2
- transfers_a10
- transfers_b2
- transfers_d2
- transfers_d7
- transfers_d14
- transfers_d19
- youth
Cause of death (mort20)
Data file: mortality
Overview
Valid:
283
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 9
Format:
Numeric
Questions and instructions
Literal question
What was the cause of [NAME’s] death?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Illness | 247 |
87.3%
|
| 2 | Traffic accident | 3 |
1.1%
|
| 3 | Childbirth or complications | 7 |
2.5%
|
| 4 | Homicide | 3 |
1.1%
|
| 5 | Suicide | 2 |
0.7%
|
| 6 | Other accident or injury | 5 |
1.8%
|
| 7 | Other (specify) | 13 |
4.6%
|
| 9 | 3 |
1.1%
|
|
| 99 | Don’t Know | 0 |
0%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
If answer is 1 > Go to 21 (mort21 - variable name in dataset).
If answer is 2, 3, 4, 5, 6 or 7 > Go to 36 (mort36 - variable name in dataset).
If answer is 99 > Go to 25 (mort25a - variable name in dataset).
If answer is 2, 3, 4, 5, 6 or 7 > Go to 36 (mort36 - variable name in dataset).
If answer is 99 > Go to 25 (mort25a - variable name in dataset).
Description
Source of information
The household member who is best able to answer.