IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / ZMB_2017_MTF_V02_M / variable [F38]
central

Multi-Tier Framework Survey for Measuring Energy Access 2017-2018

Zambia, 2017 - 2018
Get Microdata
Reference ID
ZMB_2017_MTF_v02_M
Producer(s)
Energy Sector Management Assistance (ESMAP)
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
36446
Downloads
388
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • express
    sections
  • section a
    household
    roster
  • section c solar
    devices
  • section c
    supply and
    demand for
    electricty
    c120-c123
  • section f
    kerosen_fuel
    based_candle
    lighting f1-f14
  • section f
    kerosen_fuel
    based_candle
    lighting
    f16-f21
  • section g dry
    cell batteries
  • section h
    household fuel
    consumption
    h1-h18
  • section h
    household fuel
    consumption
    h19-h21
  • section i use
    of cookstoves
  • section l
    consumption_expenditure
  • section m
    household
    assets
    transport
  • section n
    household
    assets electric
  • section o
    household land
    ownership
  • section p
    household
    economic shocks
  • section r time
    use
  • section s
    health impacts
    s1-s5
  • section s
    health impacts
    s6-s11
  • sample_weight

A47.During a typical month, what are the three main ways your business was affected by an electricity power outage? (A47_2)

Data file: express sections

Overview

Valid: 2
Invalid: 3610
Type: Discrete
Decimal: 0
Start: 2066
End: 2067
Width: 2
Range: 1 - 13
Format: Numeric

Questions and instructions

Literal question
During a typical month, what are the three main ways your business was affected by an electricity power outage?
Categories
Value Category Cases
1 Continue all operations on backup supply 0
0%
2 Continue reduced operations on backup supply 0
0%
3 Had to turn customers away 0
0%
4 Had to send workers home for the day without pay 0
0%
5 Had to send workers home for the day with pay 0
0%
6 Used more expensive alternate energy sources to run operations/ keep perishables cold 0
0%
7 Wasted perishable products/discarded damaged goods 0
0%
8 Machines/appliances were damaged in the process 1
50%
9 Meetings/transactions were delayed 0
0%
10 Provided backup electricity to others 0
0%
11 Stop operations and waited for power to return 1
50%
12 Not affected by last outage 0
0%
13 Other, specify 0
0%
Sysmiss 3610
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.
Interviewer instructions
Do not prompt. Multiple responses possible.
Back to Catalog
IHSN Survey Catalog

© IHSN Survey Catalog, All Rights Reserved.