National Panel Survey 2012-2013, Third round
Tanzania, 2012 - 2013
Get MicrodataCreated on
Jan 18, 2022
Last modified
Feb 11, 2022
Page views
672853
Downloads
214
- Data files
- AG SEC 01
- AG SEC 2A
- AG SEC 2B
- AG SEC 3A
- AG SEC 4A
- AG SEC 4B
- AG SEC 5A
- AG SEC 5B
- AG SEC 6A
- AG SEC 6B
- AG SEC 7A
- AG SEC 7B
- AG SEC 08
- AG SEC 9A
- AG SEC 9B
- AG SEC 9C
- AG SEC 10
- AG SEC 11
- AG SEC 12A
- AG SEC 12B
- AG SEC A
- COM SEC A1A2
- COM SEC CB
- COM SEC CC
- COM SEC CD
- COM SEC CE
- COM SEC CF
- COM SEC CG
- HH SEC A
- HH SEC B
- HH SEC C
- HH SEC D
- HH SEC E
- HH SEC F
- HH SEC G
- HH SEC H
- HH SEC I
- HH SEC J1
- HH SEC J2
- HH SEC J3
- HH SEC J4
- HH SEC K
- HH SEC L
- HH SEC M
- HH SEC N
- HH SEC O1
- HH SEC O2
- HH SEC P
- HH SEC Q1
- HH SEC Q2
- HH SEC R
- HH SEC S
- HH SEC U2
- HH SEC V
- LF SEC A
- LF SEC 01
- LF SEC 02
- LF SEC 03
- LF SEC 04
- LF SEC 05
- LF SEC 06
- LF SEC 07
- LF SEC 08
- LF SEC 09
- LF SEC 10
- LF SEC 11A
- LF SEC 11B
- LF SEC 12
- LF SEC 13A
- LF SEC 13B
Shock id (Shockid)
Data file: HH SEC R
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
11
End:
13
Width:
3
Range:
101 - 119
Format:
Numeric
Questions and instructions
Literal question
Shock ID
Categories
| Value | Category |
|---|---|
| 101 | Drought or floods |
| 102 | Crop disease or crop pests |
| 103 | Livestock died or were stolen |
| 104 | Household business failure, non-agricultural |
| 105 | Loss of salaried employment or non-payment of salary |
| 106 | Large fall in sale prices for crops |
| 107 | Large rise in price of food |
| 108 | Large rise in agricultural input prices |
| 109 | Severe water shortage |
| 110 | Loss of land |
| 111 | Chronic/severe illness or accident of household member |
| 112 | Death of a member of household |
| 113 | Death of other family member |
| 114 | Break-up of the household |
| 115 | Jailed |
| 116 | Fire |
| 117 | Hijacking/robbery/burglary/assault |
| 118 | Dwelling damaged, destroyed |
| 119 | Other (specify) |
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.