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    Home / Central Data Catalog / ZMB_2012_AFB-R5_V01_M / variable [F2]
central

Afrobarometer Survey 2012, Round 5

Zambia, 2012 - 2013
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Reference ID
ZMB_2012_AFB-R5_v01_M
Producer(s)
The Institute for Democracy in South Africa (IDASA), Ghana Centre for Democratic Development (CDD-Ghana), Michigan State University (MSU)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
8886
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  • Study Description
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  • Data files
  • zam_r5_data_july_2015.sav

Q63pt2other. MIP - 2nd response (verbatim) (Q63PT2OTHER)

Data file: zam_r5_data_july_2015.sav

Overview

Valid: 1200
Invalid: -
Type: Discrete
Start: 654
End: 684
Width: 31
Range: -
Format: character

Questions and instructions

Literal question
63. In your opinion, what are the most important problems facing this country that government should address? 2nd response (other specify)
Categories
Value Category Cases
1155
96.3%
assist the disabled 1
0.1%
attacks from wild animals 1
0.1%
building some bridges 1
0.1%
building the market 1
0.1%
care for the elderly 1
0.1%
cattle diseases 1
0.1%
cattle vaccines 2
0.2%
clinic too far 2
0.2%
clubs to empower women 1
0.1%
country needs cleaning up 1
0.1%
crop damage by animals 1
0.1%
floods from swamps 1
0.1%
food security 1
0.1%
future for the youths 1
0.1%
garbage removal 1
0.1%
improve manufacturing industry 1
0.1%
lack of clothing 1
0.1%
mealie meal prices 1
0.1%
mealie meal prices got too hig 1
0.1%
more schools 1
0.1%
no fertilizer 2
0.2%
pesticides are needed 1
0.1%
political leaders insubordinate 1
0.1%
prices are too high 1
0.1%
prices of goods 1
0.1%
proper toilets 1
0.1%
provide shelter for homeless 1
0.1%
providing fertilizer 1
0.1%
reduce prices on essentials 1
0.1%
reduce prices on mealie meal 1
0.1%
sanitation 3
0.3%
shortage of hammermil 1
0.1%
the community wants a market 1
0.1%
to many deaths 1
0.1%
tribalism 1
0.1%
underdevelopment 1
0.1%
vaccines for animals 1
0.1%
want proper wealth distribution 1
0.1%
we are fed up of telling govt 1
0.1%
women dress code 1
0.1%
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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