3. Methodology
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Dates of polling 28th March - 7th April 2015
Sample Size 1,964
Sampling methodology
Random, Multi-stage stratified using PPS
(proportionate to population size)
Universe
Data collection
methodology
Sampling error
Face-to-Face interviews at the household level
Poll funding Ipsos Limited
Kenyan adults, aged 18 and above living
in Urban and Rural areas
+/-2.2% with a 95% confidence level
(Note: Higher error-margins for sub-samples)
4. Sample Structure Statistics
4
Region
Sample Frame statistics
(April 2015)
*Weighted data
%
Population Census as at 2009
Adults (18 years +)
%
Central 257 13 2,548,038 13
Coast 173 9 1,711,549 9
Eastern 293 15 2,907,293 15
Nairobi 206 10 2,042,770 10
North Eastern 94* 5 929,158 5
Nyanza 257 13 2,547,980 13
Rift Valley 484 25 4,795,482 25
Western 200 10 1,980,090 10
TOTAL 1,964 100 19,462,360 100
5. Quality Control Measures
For at least 20% of the interviews, a supervisor is present throughout
Field managers visit at least 15% of the respondents in the sample at their
households to confirm the interviews (i.e. back-checking).
After the interview data are electronically transmitted to the Ipsos Server: an
independent team then makes random phone calls to 40% of the
respondents to confirm that the interviews were conducted with the said
respondents (i.e., telephonic back-checks).
Mobile Data Collection Platform captures GPS location (latitudes and
longitudes) of interviews conducted to verify the locations of the
interviewers in the field alongside allowing silent recording.
Logical data checks are made on selected questionnaire entries to ensure
conformity to the sample’s statistical parameters.
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Ipsos employs quality control measures to ensure the highest
possible integrity of obtained results/data
7. 28%
2%
30%
8%
11%
9%
10%
1%
1%
9%
22%
28%
23%
4%
4%
2%
5%
1%
2%
Catholic
Catholic Charismatic
Mainstream Protestant (ACK,…
SDA
Evangelical
Other Christian
Muslim
Refused To Answer/None
No religion
Public Sector wages/salary
Private sector wages /salary
Gains from self employment/…
Agriculture (own/household farm)
Livestock
Given money by others
Pension from previous employment
Other
Don’t Know
Refused To Answer
Demographic Profile
10%
9%
13%
25%
5%
15%
13%
10%
51%
49%
28%
29%
18%
25%
37%
63%
100%
Nairobi
Coast
Nyanza
Rift Valley
North Eastern
Eastern
Central
Western
Female
Male
18 - 24
25 - 34
35 - 44
45+
Urban
Rural
Kenyans
7
Region
Gender
Age
Setting
Religion
Nationality
Source of Household Income
Base: All Respondents (n=1,964)
8. Demographic Profile
4%
14%
19%
14%
26%
8%
7%
3%
3%
1%
42%
33%
11%
4%
1%
1%
0%
2%
7%
No formal education
Some primary education
Primary education completed
Some secondary education
Secondary education completed
Some middle level college (not…
Completed mid-level college (Not…
Some University education
University education completed
Post Graduate (Masters, MBA, PhD)
Less than 10,000
10,001 – 25,000
25,001 – 40,000
40,001 – 55,000
55,001 – 75,000
75,001 – 100,000
100,001 and above
Has No income
RTA/DK
8
Level of Education
Monthly Household Income (ALL
members of the Household)
Base: All Respondents (n=1,964)
11. “If you know, what is the constitutional requirement about the
representation of women in all elected bodies such as parliament, county
assemblies?” (By Total, Supporters of the Main Political Parties/Coalitions)
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39%
45%
33%
41%
44%
25% 25% 24% 24% 24%
37%
29%
43%
36%
32%
0%
10%
20%
30%
40%
50%
Total (n=1,964) Male (n=956) Female (n=1,008) CORD Supporters
(n=624)
Jubilee Supporters
(n=871)
Correct answer [at least one-third women] Incorrect answer Don't Know
12. 12
YES, 52%
NO, 34%
Not sure/Don't
Know, 14%
Base: Those aware of the one-third gender
rule (n=764)
“Do you think that this requirement will be met within the period
stated in the constitution (August 2015)?” (By Total)
13. 13
48% 47% 48%
44%
53%
27%
32%
23%
29% 27%25%
21%
29% 28%
20%
0%
20%
40%
60%
80%
100%
All respondents
(n=1,964)
Male (n=956) Female (n=1,008) CORD Supporters
(n=624)
Jubilee Supporters
(n=871)
YES NO Not sure
“Do you think having at least 1/3 women in all elected bodies would
improve the quality of politics and governance?”
(By Total, Gender, Supporters of the Main Political Parties/Coalitions)
14. 14
66%
63%
70%
66% 65%
27%
31%
22% 24%
29%
7% 6% 8% 10%
6%
0%
20%
40%
60%
80%
100%
Those aware of the
1/3 Gender rule
(n=764)
Male (n=435) Female (n=329) CORD Supporters
(n=254)
Jubilee Supporters
(n=384)
YES NO Not sure
“Do you think having at least 1/3 women in all elected bodies would
improve the quality of politics and governance?”
(Of Those Aware of the 1/3 Gender Rule: by Total, Gender,
Supporters of the Main Political Parties/Coalitions)
15. For further information contact:
Dr Tom Wolf
Social Political Consultant
tpwolf1944@gmail.com
Victor Rateng
Project Manager - Opinion Polls
victor.rateng@ipsos.com
Follow us on twitter: @IpsosKe
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