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    Home / Central Data Catalog / TZA_2018_RFS_V01_M / variable [F1]
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Resilience Firm Survey 2018, Dar es Salaam, Tanga and Dodoma

Tanzania, 2018
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Reference ID
TZA_2018_RFS_v01_M
Producer(s)
Alvina Erman, Jun Rentschler, Julie Rozenberg, Stephane Hallegatte
Metadata
DDI/XML JSON
Study website
Created on
Sep 07, 2022
Last modified
Sep 07, 2022
Page views
6936
Downloads
100
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  • rfs_tanzania_2018

Please, specify (q3_4_7a_other)

Data file: rfs_tanzania_2018

Overview

Valid: 86
Invalid: 0
Type: Discrete
Start: 1031
End: 1082
Width: 52
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Changing of electricity wire 1
1.2%
Changing of transfomas 1
1.2%
Construction cases 1
1.2%
Construction issues 1
1.2%
Due to heavy winds,Falling of trees etc 1
1.2%
Electrical short 2
2.3%
Electricity supply is inadequate to meet the demand 1
1.2%
Emergency 1
1.2%
Exchanging of the poles 1
1.2%
Falling of electric palls 1
1.2%
Falling of electricity wire 1
1.2%
Hitilafu ya mitambo 1
1.2%
INFRASTRUCTURE REHABILITATION 1
1.2%
Inefficiency source of power, wear and tear 1
1.2%
Infrastructure maintainance 1
1.2%
Infrastructure problem 2
2.3%
Infrastructure problem, s 1
1.2%
Kuanguka kwa nguzo za umeme 1
1.2%
Low capacity of power distribution 1
1.2%
MATENGENEZO YA MIUNDOMBINU 1
1.2%
Magari makubwa kigonga nguzo ndani ya mji/mtaa 1
1.2%
Maintainance 7
8.1%
Maintanence and tree prooning 1
1.2%
Maintenance 12
14%
Marekebisho ya transfoma 1
1.2%
Matengenezo 1
1.2%
Miundo mbinu..nguzo kuanguka 1
1.2%
Miundombinu mibovu na Matengenezo 1
1.2%
Nguzo,transformer kuharibika 1
1.2%
Political matters 1
1.2%
Poor electricity infrastructure 10
11.6%
Poor infrastructure 2
2.3%
Problems with the transformer 1
1.2%
Repair 1
1.2%
Repairing of devices 1
1.2%
Repairings 1
1.2%
Repairments 1
1.2%
Safety due to flood 1
1.2%
Technical problems 8
9.3%
Transformer problems 2
2.3%
Transformer shorts 1
1.2%
Transformer shorts problem 2
2.3%
Trees falling on the wires 1
1.2%
UBORESHAJI WA MIUNDOMBINU 1
1.2%
Uchakavu wa mitambo ya umeme 1
1.2%
Unexpected problems with the electric infrastructure 1
1.2%
Wear and tear of machines 1
1.2%
Winds 1
1.2%
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.
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