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: Numeracy_Assessment

Overview

vald 14444

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	178	1.2%
2	Kanzokiya	253	1.8%
3	Mtaa	243	1.7%
4	Mazeras	380	2.6%
5	Mgandini	312	2.2%
6	Mwamnyemi	310	2.1%
7	Central	123	0.9%
8	N. Eastern	231	1.6%
9	Kinango	440	3%
10	Moyeni	377	2.6%
11	Vigurugani	350	2.4%
12	Chengoni	496	3.4%
13	Jaffari	306	2.1%
14	Taru	445	3.1%
15	Chirimani	191	1.3%
16	Chongolo	191	1.3%
17	Mwalingulu	192	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	255	1.8%
24	Mbunguni	129	0.9%
25	Mwamgunga	62	0.4%
26	Ngombeni	195	1.4%
27	Waa	259	1.8%
28	Yenje	260	1.8%
29	Mihirini	75	0.5%
30	Mkongani	431	3%
31	Tserezani	72	0.5%
32	Aputi	803	5.6%
33	Awelo	860	6%
34	Muntu	608	4.2%
35	Namasale	598	4.1%
36	Town council	122	0.8%
37	Agwata	1160	8%
38	Bata	776	5.4%
39	Dokolo	887	6.1%
40	Kangai	647	4.5%
41	Kwera	390	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

BACKGROUND INFORMATION