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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / UGA_2015_SHS_V01_EN_M_V01_A_OCS / variable [F8]
agricultural-surveys

Smallholder Household Survey - CGAP, 2015

Uganda, 2015
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Reference ID
UGA_2015_SHS_v01_EN_M_v01_A_OCS
Producer(s)
Jamie Anderson
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 12, 2020
Last modified
Nov 08, 2022
Page views
54122
Downloads
358
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • cgap_smallholder_household_survey_uga_2015_multiple_feb_16
  • CGAP
    Smallholder
    Household
    Survey_UGA
    2015_Household_Mar18
  • CGAP
    Smallholder
    Household
    Survey_UGA
    2015_Single_Mar18

F26_OTH . Benefits to having a mobile money account: Other benefit (specified (F26_OTH)

Data file: CGAP Smallholder Household Survey_UGA 2015_Single_Mar18

Overview

Valid: 25
Type: Discrete
Start: 2825
End: 2944
Width: 120
Range: -
Format: character

Questions and instructions

Literal question
F26. What are the benefits to having a mobile money account?
Categories
Value Category Cases
Ability to borrow air time from m-money 1
4%
Confidentiality when you receive money 1
4%
IT IS FIRST 1
4%
ITS EASY TO USE AND FAST 1
4%
Its Quick especially during Emergency times 1
4%
TO BORROW 1
4%
Timely services 1
4%
ability to buy air time 1
4%
ability to get money abruptly 1
4%
ability to get money as and when needed 1
4%
ability top up airtime 1
4%
being able to access your money incase of an emergency 1
4%
buy airtime 1
4%
buying airtime 1
4%
chances of not being robbed since people be not knowing, you can receive your money in big amounts compared to when it i 1
4%
fast transactions 1
4%
having my money always 1
4%
it's assessibilty 1
4%
it's convenient and safe 1
4%
payment of school fees 1
4%
quick sending money 1
4%
saves time which would have been wested on way to deliver message. 1
4%
sending and recieve 1
4%
you cannot loose money in transit 1
4%
you have access to your money anytime 1
4%
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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