East African Quality in Early Learning (EAQEL) 2009-2011

KENYA, UGANDA, 2009 - 2011
Human Development (HD)

African Population and Health Research Center

CSV JSON

Location of school: Kenya=Cluster; Uganda=Sub-country (cluster)

Data file: Literacy_Assessment_Oral

Overview

vald 14297

invd 0

Interval discrete

Decimal 0

Range 1 - 41

Questions and instructions

Literal question

Qn1.8: Cluster

Categories

Value	Category	Cases
1	Dzitsuini	181	1.3%
2	Kanzokiya	253	1.8%
3	Mtaa	243	1.7%
4	Mazeras	378	2.6%
5	Mgandini	312	2.2%
6	Mwamnyemi	310	2.2%
7	Central	123	0.9%
8	N. Eastern	231	1.6%
9	Kinango	439	3.1%
10	Moyeni	376	2.6%
11	Vigurugani	346	2.4%
12	Chengoni	495	3.5%
13	Jaffari	307	2.1%
14	Taru	448	3.1%
15	Chirimani	190	1.3%
16	Chongolo	191	1.3%
17	Mwalingulu	190	1.3%
18	Mwamgunga	130	0.9%
19	Tiwi	130	0.9%
20	Vinuni	193	1.3%
21	Vuga	129	0.9%
22	Ziwani	255	1.8%
23	Kiteje	254	1.8%
24	Mbunguni	129	0.9%
25	Mwamgunga	60	0.4%
26	Ngombeni	195	1.4%
27	Waa	260	1.8%
28	Yenje	258	1.8%
29	Mihirini	75	0.5%
30	Mkongani	430	3%
31	Tserezani	72	0.5%
32	Aputi	791	5.5%
33	Awelo	839	5.9%
34	Muntu	591	4.1%
35	Namasale	585	4.1%
36	Town council	122	0.9%
37	Agwata	1151	8.1%
38	Bata	761	5.3%
39	Dokolo	850	5.9%
40	Kangai	637	4.5%
41	Kwera	387	2.7%

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.

Question pretext

1.BACKGROUND INFORMATION