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_Group

Overview

vald 14410

invd 0

Interval discrete

Decimal 0

Range 1 - 41

Questions and instructions

Literal question

Qn1.8: Name of cluster

Categories

Value	Category	Cases
1	Dzitsuini	180	1.2%
2	Kanzokiya	252	1.7%
3	Mtaa	241	1.7%
4	Mazeras	380	2.6%
5	Mgandini	311	2.2%
6	Mwamnyemi	309	2.1%
7	Central	122	0.8%
8	N. Eastern	229	1.6%
9	Kinango	441	3.1%
10	Moyeni	377	2.6%
11	Vigurugani	351	2.4%
12	Chengoni	495	3.4%
13	Jaffari	305	2.1%
14	Taru	447	3.1%
15	Chirimani	191	1.3%
16	Chongolo	190	1.3%
17	Mwalingulu	191	1.3%
18	Mwamgunga	130	0.9%
19	Tiwi	130	0.9%
20	Vinuni	192	1.3%
21	Vuga	130	0.9%
22	Ziwani	255	1.8%
23	Kiteje	254	1.8%
24	Mbunguni	129	0.9%
25	Mwamgunga	61	0.4%
26	Ngombeni	195	1.4%
27	Waa	260	1.8%
28	Yenje	260	1.8%
29	Mihirini	75	0.5%
30	Mkongani	425	2.9%
31	Tserezani	73	0.5%
32	Aputi	802	5.6%
33	Awelo	858	6%
34	Muntu	605	4.2%
35	Namasale	593	4.1%
36	Town council	122	0.8%
37	Agwata	1162	8.1%
38	Bata	777	5.4%
39	Dokolo	881	6.1%
40	Kangai	642	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