2015 emis data summary

7
Government of the Republic of South Sudan NATIONAL EDUCATION STATISTICS SUMMARY November 2015

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Page 1: 2015 EMIS Data Summary

Government of the Republic of South Sudan

NATIONAL EDUCATION

S TAT I S T I C S S U M M A R YNovember 2015

Page 2: 2015 EMIS Data Summary

What is EMIS ?The Education Management Information System (EMIS)

is a government programme of the South Sudan Ministry

of Education, Science and Technology (MoEST), which is

managed by the Directorate of Planning and Budgeting’s

Data and Statistics Unit. Established in 2006, EMIS facilitates

information-driven policy discussions and decision-making

by collecting, processing, analysing, storing and

disseminating education statistical information. The Unit

is primarily responsible for conducting the national Annual

Education Census (AEC) of all educational establishments

in the country, in close coordination with counterparts and

stakeholders at state, county, payam, and school levels.

In 2014, Altai Consulting was commissioned by the United

Nations Children’s Fund, with financial assistance from the

European Union, to support the MoEST operate EMIS. The

goal was to rethink the approach and research methodology

to focus on Ministry ownership, sustainability, and

decentralization. By the end of 2015, for the first time in EMIS

history, decentralized data entry with piloted in two states,

data analysis was conducted in South Sudan by MoEST staff,

and census data was released the same year it was collected.

RelevanceTo plan and manage its education system effectively, South

Sudan needs reliable and credible data. It needs information

about how the system is developing and changing over

time, how learning outcomes and gender disparities vary

across regions, and how South Sudan compares vis-à-vis

its neighbours or countries facing similar socio-economic

situations.

By collecting and disseminating detailed statistical information

covering key indicators of South Sudan’s education sector,

from pre-primary to higher education, EMIS assists the

government in identifying educational needs and priorities,

allocating limited resources, and monitoring the sector’s

performance.

2015 Annual Education CensusIn 2015, as a result of insecurity in parts of the country, the

Ministry conducted data collection across only 7 out of 10

states. Yet, more than 6,000 Head Teachers and over 7,500

schools and educational institutions were reached. Additional

data collection was carried out independently across 45%

of all counties in the three conflict-affected states but is not

included in the 2015 national education statistics. Overall,

despite implementation challenges, comparisons with 2013

and 2012 show that the 2015 data is coherent and of good

quality.

JON

UPNUNI

LAK

WARNBG

WEQ EEQ

WBG

CEQ

The 2015 AEC was implementedin 2 main phases:

phase 1

phase 2

Page 3: 2015 EMIS Data Summary

Number of pupils and studentsby type of school, 2015

pre-primaryschool

4347

AES46

61

pre-primaryschool

405600

secondaryschool

1940

TVET12

university27

TTI01

8006004002000

Graph1

female male

Pupils and students by type of schooland gender, 2015

Graph3

female male

100%80%60%40%20%0

preprimaryschool 52 48

pre-primaryschool 60 40

secondaryschool 68 32

AES 68 43

TVET 61 39

TTI 70 30

university 76 24

Gender Parity Index by type of school,2015

Graph4

10%

20%

30%

40%

50%

60%

70%

80%

90%

100% 98

67

CEQ

79

50

EEQ

5457

LAK

64

34

NBG

53

23

WAR

75

56

WBG

90

53

WEQ

primary school secondary school

71

53

Total

0%

NER by state and type of school, 2015Graph2

10%

20%

0%

30%

40%

50%

60%

70%

80%

90%

100%

46

3.5

CEQ

30

1

EEQ

42

1

LAK

52

1

NBG

43

1

WAR

58

3

WBG

44

2

WEQ

43

3

Total

primary school secondary school

Primary and secondary school dropout rate by grade and gender, 2015Graph6

100

10

20

30

40

50

60

70

80

90

female male

8 9

P1-P2

8 9

P2-P3

10 11

P3-P4

1018

P4-P5

1320

P6-P7 P7-P8

13

23

1218

P5-P6 S1-S2

2620

S2-S3

1725

S3-S4

21

39

0

Dropouts by reason and gender, 2015Graph7

16000

2000

4000

6000

8000

10000

12000

14000

68945766

couldn’t pay fees

42173136

long distanceto school

39832951

family orpersonal problem

31142092

moved/displaced

5171907

marriage

1377 1013

prolonged illness,sickness

13922

11635

other orunknown

female male

0

Primary and secondary school promotion rate by grade and gender, 2015Graph5

100%

10%

20%

30%

40%

50%

60%

70%

80%

90%

female male

62 60

P1-P2

65 65

P2-P3

72 71

P3-P4

68 68

P4-P5

64 64

P6-P7 P7-P8

6562

65 65

P5-P6 S1-S2

75 74

S2-S3

79 82

S3-S4

71 72

0%

>> 1,274 thousand students were identified in the 2015 census.

79% of those identified are in primary schools. Only about 43%

of the children old enough to go to primary school actually

enrol, ranging from 30% in Eastern Equatoria to 58% in Western

Bahr-El-Ghazal. Only 3% of the children old enough to go to

secondary school actually do so, with 7% in Central Equatoria,

6% in Western Bahr-El-Ghazal, and less than 2% in other states.

>> More male students than female students attend schools

for each school type and the gap is more significant for

universities (76% are male students), teacher training institutes

(70%), and secondary schools (68%). Enrolment in secondary

schools is also dominated by boys, especially in Lakes, Warrap,

and Northern Bahr-El-Ghazal, where the gender parity index

vary from 0.23 to 0.64.

>> Promotion rates throughout primary and secondary schools

are usually in the range of 65-75%, depending on grade, with

almost no variation between male and female students. Drop-

out rates across primary and secondary schools are high and

increasing from P1 to S4.

>> 62,524 primary school students dropped out in 2014. The

most common reasons are ‘couldn’t pay fees’ (12,660), ‘long

distance to school’ (7,353), ‘family or personal problem’ (6,934).

Additionally, 1,262 indicated ‘joining the military’ as the main

reason (933 boys), 2,424 got married and had to leave school

(1,907 girls), and 1,675 indicated ‘pregnancy’ as the primary

dropout reason (1,566 girls).

>> 3,335 students dropped out of secondary school in 2014 for

similar reasons.

Access student flow

Page 4: 2015 EMIS Data Summary

>> The number of schools across the country has grown

over the last 2 years for all types. The number of pre-primary

schools has risen 28%, with 80% of growth provided by new

non-government owned schools. On the other hand, primary

schools have seen a 10% growth driven almost entirely by new

government owned schools. There are 39% more secondary

schools in 2015 than in 2013; the growth coming from both new

government and non-government owned schools.

>> At the state level, the majority of new pre-primary,

secondary schools and Alternative Education System (AES)

centres opened in Central Equatoria, while most of the new

primary schools opened in Northern Bahr-El-Ghazal.

>> The 2015 census identified around 36,629 teachers, 82%

of them are men. Untrained teachers are common across

all school types, and represent on average 1 in 3 teachers in

pre-primary, primary schools and AES centres. The highest

shares of untrained pre-primary and primary school teachers

are found in Eastern Equatoria, Lakes, and Northern Bahr-El-

Ghazal, while untrained secondary school teachers are most

common in Eastern Equatoria, Northern Bahr-El-Ghazal, and

Western Bahr-El-Ghazal.

>> Pupil-Teacher Ratio (PTR) is 31 for pre-primary schools

and 40 for primary schools (42 in government owned primary

schools, among the highest in the world). It is only 18 for

secondary schools due to low enrolment rates. PTRs are the

highest in Warrap, Lakes, and Western Bahr-El-Ghazal.

schools teachers

Growth of number of schoolsby type, 2013-2015

Graph8

10%

20%

30%

40%

50%

28

pre-primary

39

secondary

10

primery

12

AES

0%

100

200

300

secondary

24

45

primery

257

2

Growth of number of schools by typeand ownership, 2013-2015

Graph9

Government Non-government

pre-primary

34

127

AES

52

73

0%

Teachers by type of schooland gender, 2015

Graph11

female male

2500020000150001000050000

pre-primaryschool

15971289

382721288

pre-primaryschool

3852888

secondaryschool

5723825

AES

65225

TVET

2296

TTI

39511

university

Share of teachers by professionalqualification and type, 2015

Graph12

trained unknownuntrained

100%80%60%40%20%

preprimaryschool 47 35 18

pre-primaryschool 38 36 26

secondaryschool 64 35 19

AES 47 36 18

TVET 66 34

TTI 83 17

0%

Growth in schools by state and by type, 2015Graph10

100%

10%

20%

30%

40%

50%

60%

70%

80%

90%

55

4335

87

35

25

70 0

29

7 8 114 6 4

15

3 3

25 25

91

31

44

4

20

CEQ EEQ LAK NBG WBG WEQWAR

primary schoolpre-primary school secondary school AES

78

0%

10%

20%

30%

40%

50%

33

15

37

CEQ

38

46

28 27

EEQ

43

12

38

43

LAK

40

23

38

45

NBG

31

23 2822

WBG

35 36

17

36

Total

3531

13

28

WEQ

3532

8

28

WAR

Share of untrained teachers by state and type, 2015Graph13

primary schoolpre-primary school secondary school AES

36

0%

Page 5: 2015 EMIS Data Summary

10%

20%

30%

40%

50%

31.8 30.6

pre-primary

42.3

35.1

primary

17.2 18.9

secondary

Pupil-teacher ratio (PTR), 2015Graph14

government non-government

0%

10%

0%

20%

30%

40%

50%

60%

70%

33

19

61

CEQ

33 35

14

33

EEQ

52

12

40

31

LAK

21 19

41

11

NBG

45

18

2825

WBG

31

40

18

24

Total

32 33

16

7

WEQ

42

2423

WAR

Pupil-teacher ratio by state and type, 2015Graph15

primary schoolpre-primary school secondary school AES

31

46

Pupil-classroom ratio (PCR) by state and by type, 2015Graph18

150

50

0

100

56 55

26

CEQ

57

71

36

19

EEQ

137

35

59 64

LAK

24

46

106

51

NBG

71

35 3826

WBG

47

85

45 41

Total

6471

3628

WEQ

101

127

62 66

WAR

primary schoolpre-primary school secondary school ALS

49

>> Pre-primary, primary schools and AES centres have the

lowest share of permanent classrooms and the highest share

of classrooms that are neither permanent nor semi-permanent.

These classrooms are often open-air types. For example, 28%

of primary school classrooms are open-air, ranging from as low

as 5% in Western Bahr-El-Ghazal to as much as 48% in Lakes.

>> Pupil-Classroom Ratio (PCR) is 47 for pre-primary schools,

varying from 24 in Northern Bahr-El-Ghazal to 101 in Warrap.

>> PCR is 85 for primary schools, with Central Equatoria having

56 pupils per classroom and Lakes having 137 pupils per

classroom.

>> PCR is 45 for secondary schools, ranging from 35 in Lakes

to 62 in Warrap.

CLASSROOMS

Distribution of school classroomsby type, 2015

Graph16

permanentother

semi-permanent

100%80%60%40%20%0%

pre-primaryschool 38 39 23

primaryschool 36 27 37

secondaryschool 76 25 4

AES 47 27 32

TVET 83 34 10

TTI 90 10

university 83 4

Share of primary school open-airclassrooms by state, 2015

Graph17

10%

0%

20%

30%

40%

50%

60%

3

CEQ

17

EEQ

48

LAK

39

NBG

42

WAR

5

WBG

35

WEQ

28

Total

Page 6: 2015 EMIS Data Summary

>> 64% of primary schools have no access to drinking water;

the lowest share being in Central Equatoria (51%) and highest

in Western Equatoria (80%).

>> 52% of primary schools have no latrines. The share varies

from 27% in Central Equatoria to 65% in Northern Bahr-El-

Ghazal.

>> 97% of primary schools have no access to electricity. For

instance, 92% of schools in Central Equatoria have no access

to electricity, while this indicator is almost 100% in Northern

Bahr-el-Ghazal.

Facilities

100%

10%

0%

20%

30%

40%

50%

60%

70%

80%

90%

51

27

92

CEQ

61

45

97

EEQ

5963

99

LAK

60

50

98

WBG

64

52

97

WEQ

80

46

98

WEQ

62 65

99

WAR

Share of schools with no access to facilities by state, 2015Graph19

no access to latrinesno access to drinking water no access to electricity

74

100

NBG

65

Page 7: 2015 EMIS Data Summary

www.goss.org

© Ministry of Education, Science & Technology 2015

Photos courtesy of UNICEF and Altai Consulting

This publication may be used as a part or as a whole, provided that the MoEST is acknowledged as the source

of information. The map used in this document is not the official map of the Republic of South Sudan and are for

illustrative purposes only.

Soft copies of the complete national and state education statistical booklets, along with the EMIS baseline list of

schools and related documents, can be accessed and downloaded at: www.southsudanemis.org.

For inquiries or requests, please use the following contact information:

- George Mogga

Director of Planning and Budgeting MoEST

[email protected]

- Giir Mabior

EMIS Manager MoEST

[email protected]

- Data & Statistics Unit

MoEST

[email protected]

- Phuong Nguyen

Chief, Education & Adolescent Development UNICEF

[email protected]

- Akshay Sinha

Education Officer UNICEF

[email protected]

- Daniel Skillings

Project Director Altai Consulting

[email protected]

- Philibert de Mercey

Senior Methodologist Altai Consulting

[email protected]

- Charles-Henri Putz

Graphic design

[email protected]