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    Home / Central Data Catalog / ZMB_2017_MTF_V02_M / variable [F38]
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Multi-Tier Framework Survey for Measuring Energy Access 2017-2018

Zambia, 2017 - 2018
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Reference ID
ZMB_2017_MTF_v02_M
DOI
https://doi.org/10.48529/b2ds-j290
Producer(s)
Energy Sector Management Assistance (ESMAP)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 04, 2019
Last modified
Nov 29, 2021
Page views
70934
Downloads
3725
  • Study Description
  • Data Description
  • Documentation
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  • 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

A30.Could you please estimate total revenue for this business or activity in a regular month (A30)

Data file: express sections

Overview

Valid: 83
Invalid: 3529
Type: Discrete
Decimal: 0
Start: 151
End: 158
Width: 8
Range: -8 - 21000000
Format: Numeric

Questions and instructions

Literal question
Could you please estimate total revenue for this business or activity in a regular month, that is, a month that is neither the busiest nor the slowest of the year?
Categories
Value Category Cases
-8 Don't know 7
8.4%
30 1
1.2%
50 1
1.2%
100 3
3.6%
150 3
3.6%
170 1
1.2%
200 4
4.8%
210 1
1.2%
250 2
2.4%
280 1
1.2%
300 6
7.2%
350 1
1.2%
400 3
3.6%
450 2
2.4%
500 5
6%
550 1
1.2%
600 1
1.2%
650 1
1.2%
700 1
1.2%
750 1
1.2%
800 1
1.2%
850 1
1.2%
900 2
2.4%
1000 3
3.6%
1200 1
1.2%
1500 7
8.4%
1800 2
2.4%
2000 8
9.6%
2500 1
1.2%
2800 1
1.2%
3000 1
1.2%
3500 2
2.4%
6000 1
1.2%
6500 1
1.2%
10000 1
1.2%
15000 1
1.2%
20000 1
1.2%
80000 1
1.2%
21000000 1
1.2%
Sysmiss 3529
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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