Kagera Health and Development Survey 2004 (Wave 5 Panel)
Tanzania, 2004
Get MicrodataCreated on
Sep 29, 2011
Last modified
Mar 29, 2019
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- Data files
- anthro
- community
- hh
- indtrackingform
- mortality1
- mortality2
- pr1__fdp
- pr2__ph1
- pr3__nf1
- pr3__nf2
- prcvrcls
- primary
- sec00
- sec1
- sec2
- sec4
- sec5
- sec6
- sec7
- sec8
- sec9
- sec10
- sec11a
- sec11b
- sec11c
- sec11d
- sec11e
- sec11f
- sec12a
- sec12b
- sec12c
- sec13
- sec14a
- sec15a
- sec15b
- sec15c
- sec15d1
- sec15d2
- sec16b
- sec16c1
- sec16c2
- sec17a
- sec17c
- sec18a
- sec18b
- sec18c
- tracking
IF VERY BAD, why was it a very bad year? (s101999q3)
Data file: sec10
Overview
Valid:
192
Invalid:
3026
Type:
Discrete
Decimal:
0
Width:
132
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | LOW CROP PRICES: low income due to low prices from crops myself and/or household I was living in |
| 2 | POOR HARVEST (WEATHER): low income due to poor harvest from agricultural crops due to weather conditions |
| 3 | POOR HARVEST(OTHER): low income due to poor harvest from agricultural crops due to pests and other non weather related circumstances |
| 4 | LIVESTOCK: low income due to loss of livestock due to death or low income from livestock due to weather, disease |
| 5 | WAGE EMPLOYMENT: low income due to loss of job and/or period of unemployment |
| 6 | OFF-FARM EMPLOYMENT: low income due to collapse of business, or low income from continuing business activities |
| 7 | REMITTANCES: low income due to lower transfers or remittances from individuals |
| 8 | GIFTS AND SUPPORT BY ORGANISATIONS: low income due to withdrawal of support by development organisations |
| 9 | EVICTION/RESETTLEMENT: loss of house and livelihood due to eviction, resettlement, forced migration |
| 10 | DEATH OF FAMILY MEMBER: low income or asset losses linked to a death, due to illness or other causes |
| 11 | SERIOUS ILLNESS: low income or asset losses linked to serious illness (even if leading to death, but most hardship during illness) |
| 12 | LOSS OF ASSETS: due to crime, violence, theft, etc |
| 13 | OTHER (SPECIFY) |
| 52 | |
| 99 | DK |
| Sysmiss |
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.