I UNITED NATIONS
ECONOMIC AND SOCIAL COUNCIL
Distr.
LIMITED
E/CN-.14/CAS.1O/2 24 August 1977 Original: ENGLISH
ECONOMIC COMMISSION FOR AFRICA Tenth session of the Conference
of African Statisticians Addis Ababa, 17-22 October 1977
ELECTRONIC DATA PROCESSING INVMTORY
CONTENTS
I« Introduction
II* Location of the Computer in Relation to th»
Statistics Producing Organs
Ill* Computer Installations for Processing Statistical Data ...
IV. EDP Workload V, Personnel VI. Training VII, Conclusion
ANNEXES
1. List of countries which sent replies
2. Computers used to process statistics in Africa 3- Input devices
4- Data support 5» Output devices 6. Software
7. Current EDP tasks 8.. Future EDP tasks
9. Personnel - Systems/Programming staff
10. Personnel - Off-line operations and administration,
data preparation, output preparation11. Number of staff trained by field of study 12. Future training needs by field of study
GENERAL NOTES
The following symbols have been used in the tables:
"1" denotes "Yes"
"..." denotes "not available"
"-" denotes "Nil"
M77-1485
■'■-v2-"%-;"-m^,
Paragraphs
1-5
6 18 30 32 39
45
17 29 31 38 44 47
E/CN-U/CASiiO/2 -
1. Introduction
I;1 • At its ninth session the Conference of African. Statisticians agreed-.that ..
regional information on data' processing, capabilities arid requirements should be-:,
collected periodically and that statistical'offices and data processing unitsthroughout the region should be asked to..provide relevant information biennially.;.
2. This study ib based on country replies to a questionnaire entitled "Regional Survey, of Da.ta Processing Capabilities and--Requirementsy T976/77"., The'new enq'uiry' was intended to be a systematic one developed' to"bring up-to-date and maintain.a.
running record of all relevant facts. -The scope was therefore more comprehensive
than any made previously. .■■••■ . ''.'J-J; - -
3- The questionnaire was sent to 50 countries but at the time of writing~feplies
have been received from only 22 (see table 1 annexed hereto) out of which 5 countries
stated that they did not process any computers but two envisaged installations<ot- one form or another KDP facilities in the near future. Due to the rather low : ■. iT response rate information available and relating to non-participating countries.,.. ' in the enquiry is included in the document.4« One is aware that in developing countries even where computers have been'introduced there is often underutilization of the equipment because, for example, there"are""rio~
enough^,people with ..training and experience to apply the new method33 Also concerted- action for the transfer.- of computer technology to developing countries has been of
to,p^priority 1/, it would be useful if the Conference of African Statisticians were
to consider seriously ways and means of improving and responding to future enquiries in spite of certain conclusions drawn from the available data and information of'the present survey.
5. The following points will be discussed:
- Location of the computer in relation to the statistics - :.- "
'producing organ; _-K - .
- Computer installations for processing statistical data;
- EDP workload; :- • ■
--.-Personnel 3 .-.■■.■
■; * ":._ Training .
II. K)CATI0N OP THE COMPUTER IN RELATION TO THE STATISTICS - PRODUCING OR.OAN ■ 6, Table 1 below aummarlsLes the situation as regards the location of the-'-computer
in relation'to' statistics - producing organs.7- The 36 countries for which the ECA secretariat has information conoerning-the■■
location of computers may be classified into two groups.
-it-- - ■
\J United Nations: The Application of computer technology for development
E/4800,, ST/ECA/136. ■ .
E/CN..14/CAS.10/2
Page 2
... ^
8. The first group contains those countries where the statistical services do not
have computers tc
departments. 18 process their work 1out can by and large use,.equipment in other
countries are in this'situation . For the. most part, ■-■■■' (
Table 1: -Location of'compute'r in relation to statistics -
..■'■■
Country
North Africa
■Egypt
Libyan a.j.
Morocco ■ Sudan' . . ■ Tunisia
■ ^West Africa Benin
Ghana Guinea
Ivory Coast Liberia Mali
Mauritania
Senegal
IT * " *.
Nigexia
Sierra Leone ■■"
Togo .
Upper:VoXta—'
Central Africa
Cameroon
Computer available in the statistical
service
X X X X X
. ■.'.-■ :.":•.
X . -..
X
X
X
X X
X
Central African Eknpire
2/ Reply sent by
Demographie. Institut National ds
Computer available in
another service
X i . .
■
X X
X X
X
■ •--'.'X '■■ ■. .' i
X X
la Statistique et de
■ producing organ
Remarks
■
Direction du central.
mecanographique . ■
(Ministere des finances)
m ...
Ministere des finances Office Central de la mecanographie (OCM) Ministere des finances
Direction du traitement automa.tiqua de 1' information (DTAI)
Centre nationale du
traitement de 1'information
Direction centrals de
l'inforraation et de la
tele-informatique ; Office National deI1informatique (ONI)
la
E/CN.14/CAS.10/2 3
1'> Looation of computer in relation to statistics - producing organ (cont'd)
Country
Computer available Computer available
in the statistical in
service ' .-another service Remarks Central Africa (Cont'd)
Chad " "
Congo
Gabon -'
2a ire
East Africa Botswana Ethiopia : Kenya ■ Lesotho Madagascar .Malawi
Somalia Swaziland Uganda - -
■Jnited Republic of Tanzania'"
x X
z
X X
X X X
Office Ccngolais de
l'informatique (OCl)
Direction de l'inf^i-metin(Ministers des-finance.?}
Treasury, Ministry of Finance
Account General's Department, Ministry ■ of Pinanco
Treasury Department Ministry of Finance Ministry of Finance and Planning
. Repliea to ECA questionnaire and information available to ECA secretariat.
E/CN.14/CAS.10/2 Page 4
they have adopted a policy of centralising processing facilities particularly as regards the public aeotoj? aryi.■ haye;\the^e^oje Aes.^Jbii^^i"^h^!r"-nationdl'cpmpute
'^ --i * - * -
chiriery.
_ . ., Ministry of
Finance;:which?. by virtuefof itsrmanagemeht taaks^'-i-B'Initially the first client*
But as computer sciences, dey>3lop>-, :fch;e!-".a£p_li
management'of'oervices other /ih&n "jUnancial ones* Thus, to meat the ,ne.e;ds of a-11..".. „. ■.:
users, the CQhtrar'CoSput"eV"^'c£encewSerVi;(re~of~Cameroon is still attached to . the ...
Office of the President of the Republic although the Central Statistical Office acquired a minicomputer rIBM/32 in 1976 for internal use while major statistical tasks are still undertaken ..by direction Centrale 4-e lslnformatique et de la tele-informatique. In
Malawi; the jNat-ional. ^Statistical Office has no longer its computer since the oldI'£0. 1004' insta3.-led.for 1966 census, got toe old to maintain* The Data Processing Unit
W3G. transferred in 1975 to the Accountant General's Department and uses the Portland Cement Coo or Malawi Railways ICL 1901. - .,-. ■;■-■.■ .■ ;9. The second group includes countries where the statistical services have their,
■•v.m equipment which, for the r.ost part, is used to process mainly statistical work;.--'■. . .
..:i Sudaiip -tho. equipment is also used to process savings':bonds and offer processing,
r.ervice to. ShellvCompany, Eank of; Sudan and non-governmental surveys on a customer .: >banis which altogether take up 43 per cent of total processing time in the year- In Zaire,. although'.the Institut de:i.Recherche Scientifique (IRS) possesses an IBM ~ 1401 compu.t;prr.there are two other services involved with processing statistical work. . They ar.e;SI2 (Service de l!information du Zaire) and Finances. Both possess^
IBM 370/60. ,.jThQ former operating-ifithin the offices ofv the President of the '.__;;• ' Republic serves to co-ordinate the.;i'.computer policy of t^e country and has also. :\" .
established,a data^ banlc containing'files on foreign tra&e, enterprises and workers.'/10 • In some casoev :the computers operated by the statistical services :a re' use'd by/ ,
all the Gex-yices.^Vi'vb.ioi the e^irt.i.^trG^.i nn, For ezaap.l.e. tbey are us 3d :to:*proooss such,, data ao taxation, personnel records, medical stores in Zambia, fichier desGtabliesements_and :parc
llo The first/group j":wB.obe statistical^ work tha.q ,.;tq^e, .prjo.ceksed in the ..ministry directly responsible for the ""doni'put'ef :service is' placed" in a' vulnerable position.
At a time wh.6n coverb shortage of skilled manpower in computer science and technology is common in many developing countries lack of supervision of computer development and communication between the statistical office and the computer service might hinder smooth and speedy processing of statistical work of this group.
12U In viow of the above; it has become necessary for statisticians to have some
"basic training in computing so as to establish a better dialogue between the
statisticians and the computer specialists. This suggestion remains valid for the second group in which the computer is located in relation to statistics-producing
organ,
13° In the second group, i.e. those countries where the computers used to process
statistics are located within the statistical services, there exists the problem <ofoverloading wher. an occasional heavy load occurs. It is observed that the computers
-of low capacity.
E/CN.14/CAS.10/2 Page 5
14. For countries which have adequate resources the easiest solution is of course to replace with a machine with larger memory and sufficient supporting peripherals Madagascar envisages ao^uxsi-tian of an IBM/370/13 with 512k memory, in 1978 to-replace
its present IBM 360/40 with only 64k memory, Egypt has been using an ICL 1906a-with . 192k memory since 1974 apart from an ICL-1904 of 32k owned by the statistical-office;
The Department of Census and Statistics in Libya is known to have acquired an -
IBM 370/135 of 145k. ■ ' ' . '
15. Another solution might be to pool all the reeouxces of all. available computers in the country so-as to establish a comprehensive"plan for processing, - This could : . avoid wasteful idle time in one department while the other one is heavily -loaded-.
16. Certainly various kinds of problems will arise in connection with'the location -of computer. To solve them depends on the concrete conditions, resources personnel, etc,
of the country involved.^ mention should "be made of Gambia and Guinea-Bissau where thereare :' no computer instal-latione at all. The Statistical Office of Gambia.
is exploring the possibility of having.one installed later this year and similarly
^..Gambia. Meteorological Department is contemplating the purchase of a mini-computer . in "t^e. near, future. ■ In the case of'Guinea-Bissau, an inter-regional^adviser from,-the TJH Statistical Office recently visited the'couhtry to examine the feasibility of installing and operating a mini-computer for the planned Population Census being '
assisted-by-UNFPA. * . ■
III. COMPUTER INSTALLATIONS FOR PROCESSING STATISTICAL DATA
18. Tables 2 to 6 annexed hereto give a general view of the facilities available to process statistical data. The information contained in the 5 tables is limited to, those countries which sent in their replies to the questionnaire and therefore no
substantive conclusions could be drawn for developing Africa as a. whole. However, some brief comments can be made1 of installations as far as data input, the processor,-output
devices'and .software are concerned. . - '..
.1.1. '
19» Data input devices (See Table 3 annexed hereto). The most striking example is
Egypt which has very good facilities for data input. There is, among tho .countries, wid«
variation in the installation of various devices. Malawi would"acquire two mini
computers in future. In fact mini computers are increasingly popular in Americaand Europe for their efficiency and low installation costs. Tanzania and Uganda""
have one each in use in their statistical offices. In.the years to come the mini
computer could also find its place in Africa. The rest o£ the countries reported. ■do not seem;,to have any immediate plans to replace their.present devices. .
20. The majority of the countries under review use 80 column cards.. Zambia ; reportedly to be using 128 column cards is now using also 80 column type.
21. As far as automatic data input is concerned, only'rthree _ Egypt, Uganda ...and ■ Zambia.use optical-maTk reader or optical character reader. It-would; be. useful to. . know the experiences of these countries because although the method is attractive and is supposed to be time-saving there are many practical problems to be looked
into.
E/CN..14/GAS.ao/2 -■.
Page.6"'" V
22. Data support- ('See-Table 4j annexed" hereto) ' '
liillilliF
■23- ..- Processing (See Table 2 annexed hereto) '"' ' ""
its ICL 1904 in I966 with 32k it boosted its processing capacity in 1Q7A
ICL 1906 s wi +hi q oL- a^"-A# ■" ' ±L' s cdpacixy in.iy/4 •26. Output DeviceR YRfiR Tahi ^ ^ -a'^^^ heretc>:)
3 have, paper tape punches
ia sraph p
28. Software (See Table 6 annexed hereto")'"",t^".
s using it. Five" 'ccuhtries are^usihg'SL'/i: a
^teti of °"mbini- ^*««cf t"^1 la"s and
C0CENTS..are USSd ^. S-ian, Up.peP Volta,. CongP, Kenya, Madagascar •
^^r'^S:^ ^V ;J X.SB
E/CN.U/CAS.10/2 "'
Page 7
IV. EDP WORK LOAD " '
30. Current' EDP 'tasks (-See Table 7, annexed hereto) • - ■ ' '
Eight nut of the 17 countries reported include population census among their
major statistical'^tasks:;- -.Naturallyipr:o'cess'ing--of--th-ese-'data' accounts a relatively'bi-g-
portion of processing time in the year. External trade, being periodically
processed is the second"major" statistical "task handled. Social and economic surveys of'various kinds*-a re other major tasks, of. nine countries. '
31* Future EDP tasks (See Table"6 annexed hereto)
Four countries have no immediate plans of future EDP tasks. Sudan, Cameroon, Madagascar and Tanzania plan to process household survey data. Apart from external-
trade,, agricultural and industrial surveys will be major taks for.Sudan, Congo, Swaziland
and Zambia. The overall picture is that thirteen of the reported., countries will ■
have challenging plans for the next three years. ..
V. PERSONNEL
■■.'(.' /;■' - .
32. Table 9 annexed hereto shows that there are 9 experienced sys-tems/programming managers with 3 undergoing training. 10 out of the 17 countries have systems analysts supported by senior or junior programmers. Ethiopia, which reported to have neither systems analysts nor senior programmers in fact will, have these pasts -filled -out.iji the very future as soon as the proposed organization of the Central Statistical Office
is put into force. Consequently these posts are currently shouldered by the
existing staff members. .*.' ... ■. .'.■'■!
33* Table 10 annexed hereto presents supporting personnel involved in off-line ' ' operations and administration, data preparation and output preparation. Egypt is ' undoubtedly the only country which has such all round support. As far as computer"
operations are concerned there are 8 DP managers, 21 operation specialists, 36 senior operation staff and 154 junior operation staff for all the countries under-review. ■
34» As far as off-line operations and administration are concerned there are 15 ' -
subject specialists DP liaison, 545 DP input/output clerical staff and 6 junior staff. All the staff mentioned are experienced. -35- At the level of data preparation there, are 59 supervisors of whom 2 are under- training and 515 punchers and verifiers of whom 34 are under training. ■ .■ ■ < -
3&i Las'tly; as far as output operations are concerned Egypt has one manager and
recruitment estimate is 1$ Central African Empire has 2 expatriates and Madagascar also has 1 manager.
37 • .Table-2 below summarises the ..current and future situation as regards the computer
staff employed to process statistics. v - - '.
E/CN.14/CAS.1O/2
Page 8
38. It can be seen that demand for specialists is high. The higher demand junior programmers than senior programmers could imply an expansion in the
for
transfer of programming knowledge. As far as off—line- operations-administration is concerned demand for DP output clerical staff is the' lowest.
Table 2: Number of trained staff by
.... .. . -
'..-.■-, ■ ■ ■
Category of . .. ■
staff
1. Systems/Programming
_-.i.!- . -Systems/programming managers - Systems analysts
-- Senior programmers - Junior programmers
2. Computer operations
.. f -~2)£, Managers
...— Operation specialists - -.Senior operational staff ., - "Junior operational staff 3- Off-line operations — admin.
- Subject specialists DP liaison -- DP output clerical staff
- Other junior staff
4. Data preparation ■ . - Supervisors
- Puncher and verifier
5« Output preparation -■Managers/specialists - Other staff ■•
VI. TRAINING
category and recruitment
Trained and
experienced staff
or staff under training
12 ■ '
63
■ 57 ■ 41
24
9
■ • 45
16916 553.
35
515 59
4 21
39. As'far as systems analysis is concerned training areas .may
headings:
- Introductory - Basic
- Advanced
estimates
Recruitment estimates
(B)
11
7
2 4
3
—
. . 4 21
- 63.
2
2
1
4
1
Ra tio in B A
% '
58.3 '
■ 17.5 "
' 3*5
9.833.3 .'
— -
8,9
12.4
I808 . 1.1 5.7
8.0 ■3-4
25.O ■ 19:0
be divided into three ■
E/CN.14/CAS.1O/2 Page 9
40. It can be seen from.Table 3 belo-v that 64 have been .trained.and 14 are under training in introductory and basic theory and practice of systems analysis. Relatively smaller number, only 10, have been trained or being trained in..advanced systems.
41 • There-are 154 trained programmers and 69 trainees.' As far as languages are
concerned,; there are 54 trained in Cobdl, 20 in'Fortran, 11 in.RPGII, 29 in other languages such as Fli/l and Algol, 13 trained, how ,,ip:, .use packages like CiJNTS and
CGCENTS and 8 on operating systems. Those who are being trained are also in the same order of magnitude but with none being trained on operating systems.42. From Table 3 it can be observed that a large proportion of the training is offered
by statistical-offices -or within government and by manufacturers within the country
as-far-as Basic systems-analysis and programming is concerned. . ■ ■ :
Table 3* Number of staff trained by area of study and training sources
.Traintn'g 'organs A B Dl D2 D3 El E2
1. Systems
- Introductory - Basic
- Advanced
Programming
- Assembly languages - Cobol
- Fortran . - RPG-II.
- Other highland languages - Statistical package - Operating systems
2 12 4
40 26 2 1 1
.— .
14 50 6
19
54 20 11 :329
84 5 5
2 14 7 5 10
7
5- —
2 2
10 18 3 1
—
—
_
—
—
8 9
—
—
2
. _
2 53
1 6 6 1 4 2 .3
4 15 4
12 2
_ _
12
■■ -.-' ' . —
_ _
-
1 1
3 6 3
i-t
1 1 3
Total
88 224 64 36 19 33 49
20As Numbers in training Bs Numbers trained
C: Training within statistical offices or within government
D; Training in United Nations or other non—commercial centres
Dl: Within the country
D2: Outside the country but within Africa D3s Outside Africa
E: Training at manufacturers or other commercial centres El: Within the country
E2: Outside the country but within Africa
E3: Outside Africa
'Page 10
l?nvled«« of computer science training sources have generally to
:th« countryeither within Africa or nutside Africa.
12 annaxed he-rato presents future training needs by field of study.
^ rL r SyStemS analy8tS at -^-^> intermediate S advanced pro^rair'mine■« concerned 'training needs in assembly . ran- are equally bigc It can also be observed that there is a strong demand for people to be trained in operating systems,
vii. conclusion . . ,
45-o--In. the past ten years or so there-hatf-fceen considerable development in the
application of computers in Africa,, especially for data processing and'statistical ' "
analysis. There is no doubt that developing African countries have urgent'needs. ' However, it must be pointed out that it is not at all obvious what priority should be given to computers or what contributions can or should be made by computers in
developing African-cpuhtrtesiwHen. considered, relative ^to- the-m^numenta-lVrobiems- of ■-"- - food production, population, development of natural resources, and employment.
Itmerits.-attentionythat; in their initial" years' of' installation computers, have' ^
*ee.n -s^m- .*? ** particularly capital-intensive and could-require -a- developing - "
country to use a lerge amount of its foreign exchange, -
46. -One must not overlook other related problems fnr example, location of the
computers,- adequate-understanding; built on experience, of what needs to be done in ' the Golleotion and analysis of data, personnel available with a firm practical ' background m administrative procedures for data collection and analysis before one merely associates the contribution of computing to data processing and statistrcal analysis with speed, reliability and cost-effictiveness.
47* In view of the crowing interest in computers in the wnrld in general and in
fUrfm3r"CMC is ne3d*or a periodical inventory of equipment and personnel
es as th lt t th
rf. pl inventory of equipment and perso
of ormpuver Qciences as they relate to the processing of statistics. It
remains a joint effort on thejpart f>f the, countries concerned and, the secretariat to
lay empb^io, j.a mture enquiries, on obtaining data and more precise information on
porsonnel ^s.will as.on training .facilities .offered in Africa-, ■
E/CN.14/CAS.10/2 Annexes
Annexes
Table l-s.» List of Countries which sent repliea
""' "North Africa East Africa
Egypt Ethiopia
Sudan Kenya
Lesotho
- Weet .Africa Madagascar
r. Malawi
Cape Verde Islands Seychelles
Gambia Somalia
Guinea Bissau Swaziland
Upper Volta . Tanzania
;-rji-->I ,.;;'■• ■ ' - . . Uganda
Central j, Africa . Zambia
Cameroon■ .
Central African Hnpire Congo■
Rwanda Zaire
B/C;J.14/CAS010/2 Annexes
Page 2 '
Table 2: Computers used
Country
NORTH AFRICA Egypt
Libya A.J.
Sudan Tunisia WE3T AFRICA
Benin Ghana Guinea
Ivory Coast Liberia Mali
Mauritania Niger Nigeria Senegal
Togo
Uppor Volta CENTRAL AFRICA
Eurundi Cameroon
Central Afr. Empire Chad
Congo Gabon Zaire EAST iiy."".'
Botswana
Ethiopia Kenya Lesotho
■ Madagascar
Malawi Uganda
United Rep. of Tanzania Zambia
3/ Installation planned 4/ Installation planned
to orocess
Type of Computer
ICL '904 ■■.
ICL 19Oi n IBM 370/135 IBM 36O/.13O IBM 370/125
HB GaMS5A 30
IBI-: 360/30.;
IBM 1401
IBM 37O/145 IBM 360/20 HB GAMMA 10 IBM 3
HB GAK33A 10
IBM 370/145
IBM 36C/4O IBM 370/145 IE-Pi 370/115 IBM 37O/I25
IB-M 3
IBM 370/155
CII IRIS 45 IBK 360/22 IBM 370/125 CII IRIS 50 IBK 1401J :. a
IB-M 5410
IBM £70/135
ICL ICL
IBM 360/40 ISM 370/13$
ici, 1901 IBM 36O/E3C .ICL 190^
ICL" 19-02 &
IBM 370/145
for 1977for 1Q7£.
statistics in Africa
Storage
■' - Capacity ■-"•
- ■ : ■
■ "... 32 K 192 K 145 K
64 K
■ . 128 K
20 K
64 K 16 X 8 K 32 K 208 K4 K 256 K
-««
96 K
■> 5 '#
v+ r
■ 512 K 80 K 32 K 128 K
01.0
16 IC
128 K 48 K 256 K 20 K
8 K**'
/ 64 K
rJ 512 K
16 X 32 K 16 K 16 K 208 K
-
, . ... Other Computers
Acquisition- .. ■_. n +VlQ »
• : Date'
1966 1574
0 • j
1970
1975
1971
«4 ■
»v m
* * •
0 0 *
** e
1974
1967
♦* * *
* * •
■ a *
1975 1975
9 « C
19741973
■ S3
1975
■ e i-
1970
1974 1972
1975
1970
1972
1967
1968 1969s"" y1973
Administration ._.-' .. ; ... .!■■-..
_
• • •
- - - * • •
IBM 370/145, HB-2-H
:CII-2-IRIS;45.
• * •
HB GAMMA 10
... ■ ■ ■ " —
_
9 • • ' ' ' '
IBM 360/40-.. ■
IBM 370/45
_
•■ •
_
IBM/32
—
ona
—
—
ICL/1901 A
-
i c
• ■■
12 1
i. i
2 £
33
ij h
5ft
33 8
il S
ful f£l
33
V
II I
S
— K
is a
Si
£-:
■ I I 1 I
li I III
>.
I in i til
I I I -
S : S S
Q 3/t« B
a iaa
32
.5 aS3
\-H I lA I I I
1 I I I I I
I I I
I I I
■i
S : : 3 3
n in
£: 13it Sit! ?: a
HI
3
iii i
i ■ i i i i
s a
333 3
§33 a
■s a ^ 1
• ]J1
. 14/ CIS. 10/2
-< * ■
* -4
« - v
Table 4: BATA SUPPORT
Sub-region Country
MT
Drivers MT Transfer Rate No.
^rp Type -kt tn- o- ; -Magnetic Drums Operating System
-IT Packing-Density No. of Cost/Reel ?Oba^ /S^^rw \ Storage cap. Trans- Storage Kequirementa
Channels' ^S*0 (N°° °f Char* ' mission (K - Char. )
MT
Qther random gs devioeB
NORTH AFRICA i Egypt
Sudan
ffEST AFRICA -Upper Volta
CENTRAL AFRICA Cameroon
Central African Empire
Congo
Zaire
EAST AFRICA Ethiopia Kenya
Lesotho
Madagascar
Malawi
Somalia Swaziland
Tanzania
Uganda
Zambia
■V
*/
;i/
V 83/
40 KC/S 1/
60 & 80 KC/S 2/
15 000 Char./
sec. l/
15K/S 2/
200 000 Char./
sec, _2/
6CKC/S 2/
8CKC/S 2/
80 000 Char./
sec. JL/
120 000 Char./
sec. 2/
2OCC/S
6CK/S 4CK/S
41 700 Char./
sec. _l/
4CK/S 1/
20 850 Char./
see l/
2CK/S 2/
92 160 Char./
sec. l/
:3/
556 1/ 7 1/
200, 556 & 800 2/ 7 & 9 2/
800 1/ 9 1/
800 2/
800 & 1 600 2/
1 600 1 600 850
1 600 1 600
•. *
800 1/
1 600 3/
556 1/
1 600 1/
37.5 1/
1 600 2/
1 600 1/
1 600 1/
7 2/
9 1/ 7 2/
91/
3 10
3
1/
2/
1/
8M 1/
30M 2/
7M 1/
3 2/
92/
9
9
7 1/
9 1/
7 2/
a.e
9.1/ 9 3/
7 1/
9 1/
1 1/
10 2/
10 OOOPCPA 4 2/
4 2/
• . • —*
87 125 Birr 2 l/
6 2/
1 1/ 23/
C . 0 -> J^l
4 .3/
6 1/
q e 0 J- *-£
100/per
1 200 feet
2 2/
4 1/
725OK 2/
9M
10CM 2/
25M 2/
70M 2/
2/
4.9M 1/
60M 3/
89M 1/
300M 3/
4 096 000 1/
4.2M 1/
4o9M 1/
29 176 000 1/
3 200 000 2/
106 x 100
806 000
Char/sec,
16 2/
10 1/
8 2/
2U
28 2/
48 2/
1 408 1/
12 1/
VM System
Sources: Replies to ECA questionnaire and information available to ECA Secretariat,
\J Equipment owned or rented by statistical office 2/ Other equipment used by statistical office j}/ Prospective acquisitions by statistical office 4/ Figure relates to the second computer installed
.^MT ' Magnetic Tape ^ ^ ^
Table 5: OUTPUT DEVICES
E/CN.14/CAS.1O/2
Annexes Page 5
Computer Computer Line Character
Sub-region Output Output Line Printer Printer Character Printer
Country oard Punch P.T. Punch Speed Printer Speed
No. Model No. Model Noc Model (line/rain, ) No. Model (Char9/Sec, )
Special Character Features
Graph **>*****
Model
Computer Other computer Ancillary
Output Output Output
"i°rofil» Devices Devices
NORTH AFRICA Egypt
Sudan
WEST AFRICA Upper Volta
CENTRAL AFRICA Cameroon
Central African Eknpire
Congo ]
Zaire
EAST AFRICA Ethiopia
Kenya '.
Lesotho
Madagascar
Malawi
Somalia Swaziland Tanzania
Uganda .
Zambia
ICL2151
IBI252O
1% 1B13525
1BM1442
1M3525
ICL1925 2-1/ ICL1933/3 1 350
ICL1925 3^/ ICL1933/3
IBM1O17 1 IBM14O3 500
1BM35O5
IHU442
ii/
l=f C1I2
1^/ IBM14O3 2V MDS132O
IB114O3
li/ IEH5203 2?/ IBM14O3 li/ ICL
IBM14O3 IBM3204
2i/ ICL24O5 li/ NCR645 2^/ ICL2411
2j ICL24O9
14O3N2
I.EMIA 03
1 85CP2/
1 000 1 100 150 150
300
1 100
300
1 looi^
1 200^
600 650 300 &
600 600 60 1/
1 100
ICL1934 ICL7151 ICL7151 I Ml05 2 40
NCR6101-
1052
\-J Callomp 1627 II Sources 1 Replies to ECA questionnaire and information available to ECA Secretariat.
l/ Equipment owned or rented by statistical office 2/ Other equipment used by statistical office 2/ Figure relates to the second computer installed
Ta\ie6:Software Sub-regionJJ/}QLBASIC 0ountry NORTHAFRICA Egyptxx Sudan-- WESTAFRICA UpperVolta•..••» CENTRALAFRICA Cameroon—— CentralAfricanEmpire— Congo—— Zaire—— EASTAFRICA Ethiopia—- Kenya—— Lesotho—- Madagasoar—- Malawi—- Somalia 2
COBOL X X X X X X - X X X X X X
FORTRAN X i m M 3 X - X X X X X X
RPGII — X ... X X X" - X — X _ --■
Otherhighlevel language computers PLAN ... PL/1 - - AUTOLOADER - — XDDC-Direct Entryformat programme compiler — PLAN
Operating system GEORGE2&3 DOS DOS Release21*7 SIHIS2
DOS/VS R33
- ... DOS EXEC DOSAssembly language PLAN — ••• X - IBM320 - - ASSEMBLER — - X
* <t>CD Paokages°^% Dataentry, including editing,table generation, outputprocedures standardICL softwarelibrary CENiS COCENTS COCENTS ■i;. Dataentry,, includingediting Tablegeneration Computer- assisted programming - CENTS - - CENTS-AID 11forSPSS Table generation COCENTS ■i
Table 6: Software (Cont'd)
Sub-region CountryOtherhighlevel ALGOLBASICCOBOLFORTRANRPGIIlanguageOperatingAssembly .computerssystemlanguagePackages
EAST AFRICA (Cont'd)
Swaziland Tanzania Uganda Zambiax x X
PLAN PL/L(BASIC48 SETCHARACTER) BALDOS/VS
XI)S2" XDSBfor;:: Statisticaland eoonomio;analysis COCENTS: Sources:RepliestoECAquestionnaireandinformationavailabletoECAsecretariat OAS ro
Annexes
/4
Page 8
7: Current EDP tasks
Sub-rogion
Country Major Statistical
Tasks
NORTH AFRICA
Suda n
WDST AFRICA Upper Volta
AFRICA
Central' African Empire
Conge
Zaire
2AST AFRICA Ethiopia
Processing Time Required
Average No. of Per cent of total of minutes processing time
per day in the year
Foreign Trade
Vital Statistics i
Industrial Production Statistics1 Family Budget Researches i
Labour Force Statistics ;Establishments Census ■•:■ j 1973 Population Census ■: ;
Foreign Trade ; '
Animal Census
Population Census Demographic Survey
Population Census External Trade External Trade
Population Census
Processing of figures from'
1974 CensusSocial Demographic Survey Kinshasa Price Index
Kinshasa Traffic Accidents Immigration Statistics Kinshasa Desirable Births
Dietary Survey in Bukavu Prison StatisticsSmall and Moyennes Enterprise
Survey in Kinshasa60 120 50 60 30 30 61 33 30
120 120
120 100 12 30
178 18 24
12 185
5
Household Economic Survey 54-60
Manpower Survey ! 51.75
Juvenile Delinquency ' 37^93 Public House Administration . 40,44 Lower Income Survey . 90.43 Prostitution Survey , 40.69
189 4
9
4 4'13' '7
610
' 2'
15
12 2.
6.
• • *
66:
6.
9- 4- 1.
6."
1-
-5
-5.-5 •5
-
3
5 ;
61 02
75:
53:
73 ' 35 63
3.0613 : 12.74
9.03
9.63
21.53
9.09Table 7i Current EDP tasks (Cont'd)
Sub- region ' ' '
Country
EAST* AFRICA-(Cont'id)
Kenya '■ *'■ "
-.; .-•■■; . '■ . -
■- ', ■ • : . ■ ■ -
•-'•-■■''■'•■'■ ■ . •
■ ■ •
Lesotho Madagascar
Malawi Somalia
Swaziland
Tanzania1, ... : ■
Uganda
Zambia
Sources: Replies to
1/ The Kenya C
'..-> --■ ■ ■■ ' ■■■
'•*::■:/ :':."•>. ■ '■' ' Major Statistical
Tasks
... . . >:,'
. - .■-.-.,- "" ■ :
Birth and Death Registrations Migration/Tourism Statistics Annual Enumeration of
Enterprise
Moto^p.^Vehicle Statistics Education Census... . Income .Tax Statistics..,., Large FarmB Censue
Integrated Rural Survey*
National Sample
_„,. v». i--:-^.- ■■■■■■ i". ■ 197*- Populati-pni ^usua-■ ■ ■
External Trade • ■ : Card-Index of Establishments Car Parks
Population Census Rice 'Survey
Trade Statistics ;." -' ' Census of Population, ," .
and Livestock Population Census. , Household Budget Survey Agricultural Census -:
Migration Statistics Labour" Statistics Income Tax Statistics Migration r; ■ . . ' " : ■ Hydromfitrological Survey ■■ ■- Income Tax Statistics
External Trade Population Census
ECA questionnaire
E/CN.
'._ Ero.cessing._Time~
Average No. Per
U/CASj-10/2
Annexe's
-Page. 9
Required ■ cent-.of. total of minutes processing time . ■ per day in the year
■66
20 20 120 .60
•".;:;30
480"
120 . 30 . .. 2 =14
3 ...
- 22 ■ ■ ■
; 30 24 50 30
jovernment Computer Centre operates 18 hours per day per week under DOS in a multiprogramming environment- Because processing
processing
1/
• ■ •
10 , . 3 3 20 .. . 10
• * «
100 . ■ . 19-,
'60 : 28
46 2 6.6 9.0 7.2 6
4- ■
, 6 days of this the time per task is not shown as a proportion of the total
time available.
£./CK,i4/CAS.10/2
Annexes ,, Page -10
Table'8: Future EDP
Sub-region Country
NORTH AFRICA ; '
3gypt " :
Sudan
W/ST AFRICA Upper Volta
CENTRAL AFRICA Cameroon
Central African Empire
Congo ■
Zaire •
iiiAST AFRICA Ethiopia.
Tasks
Tasks planned or .contemplated
1976 Population, Housing Buildings '& Establish
ments Census
„, . .,
Vital Statistics.. ..: . • .,. ■ Foreign Trade
Population Censu's '" '
Household Budget Survey' ' ' Industrial Census" ■•-■-•
Industrial and Commercial
Statistics from d'eclajeti'on
of enterprises
* ■ -' '• ■*• ■ :
Fertility Survey :
Household Survey
Processing of Statistics..
and Fiscal Documents
of Plan Comptabl(f" ' 7"■ ' Consumption Budget Survey
Analysis of Industrial '
Statistics *'"' f ;
Analysis of Agriculture Statistics ' * " "
Analysis of Civil Status Statistics ._ ■■.-;.;• -•.;■.■...
National-Census -
Date of incidence
1977-1979
■ -i -
■1977-";
■: '197 7
'" 1980'' ~ '
197 8 '■■;■
"I978 „
-■ j .:
♦ •. •
• • •
...
■ mJ't ' ■-■■
...
■ • . • • • ■.
■ - .-,
■'■■"
1-97-T" ;
•
Estimated No*, and type of records..involved
50'-million "-record's1 ■'■ ' (110 char.)
2 million records
(80 char.) i million records
15 million records 1«5 million records
...
--*■' "<■■■ ■■''-■
■•.'■::■ . "■"• •'::■ -
1 million records (80 char.) 6 000 records (600 char-)
3 000 records (120 char.
& numerics J 200 000 records
(80 char.) ■■
...
-±0-000 000 num'eri'cs""""
Table 8: Future EDP
, v Sub-region ; ■ '■■ t ; Country ; "
EAST AFRICA (Cont'd)
Kenya
■
• ---■■
Lesotho Madagascar i
•
Malawi
Somalia
Swaziland
Tanzania
Uganda Zambia
■
Sources: Replies to
1
Tasks (Cont'd)
Tasks planned or contemplated
Labour Force Survey -, -
World Fertility Survey Manpower.Survey
Rural Development Evaluation
Marketing Surveys ; National Demographic
Survey
-
Household Survey
Employment .Survey <
Population Census
Blantyre Markjet Survey . Under consideration Education1 Statistics ■ ! Employment Statistics Agriculture Statistics Extrnal: Trade: ■: ': '■- Census of Industries Household'Budget Survey'
197^/1977 Tabulations " ;
Population Census-
Medical. Stores Personnel Records Tazation
Census of Population " ' Census of Agriculture Other Statistical Surveys
ECA questionnaire
■ 'Date of
incidence
May 1977 - April 1978 August 1977
. •. .
All 1977 Jan. - March
1977
1978
■,1977/7-8
Sept. 1977■ - 1977-
■ 1978/1979 1978/1979 1978/1979 1 '1977/1978 1978/1979
1977-1978
1977-1979
iMay/June 1977
Nov./Dec.1977
January 1978 Sept. "1979
1980-1981
1977
E/CN.14/CAS.10/2
Annexes Page 11
Estimated,No. & type of records involved
.': ■' ;
'. . 2 500 households
15 000 women
** •
* • •
. 32 000 households
•. •
5 000 records 5»5 million ■
: a ■ 1
19 000 numerics ■ 3 000'numerics ' 180. 000.numerics
20 000-numerics , 15 000 numerics
. 6 000; household's 300 000:tape records '
3 million households.
8 million:tape records
■ 1.5 000 :records7m6nth' 3 000 -records/month"
5 000 records/month 6' million (records 6 million records
20 000 repords/month.'.
.'."■■."•'■*■"-
Tablec.Personnel-System/programmingStaff Sub-region Country"Systems/ Programming Managers Systems Analysts 'vOther;-.... ■Systems''■- ;Specialists
Senior Programme?.Junior-■ Programmers* NORTHAFRICA Egypt Sudan WESTAFRICA UpperVolta i CENTRALAFRICA Cameroon CentralAfricanEmpire Congo Zaire'■ EASTAFRICA Ethiopia Kenya Lesotho Madagascar Malawi Somalia Swaziland Tanzania Uganda Zambia
EUR 12
EURE 4-8 '1
iV
3- 3- i 4a.3
UR;EURE 1'.1
8 5
2 10■- 4"- 10i 27 2 6:- Sources:RepliestoECAquestionnaire
.1/ Systems Analysts/Prograr.'mers 2/ Senior Systems -Analyst/!.ystems Analyst
.TOTAL I 3 7 43__20__n 8 «_ - 46 11 2 14 27 i 4
■E:Experienced:,.-.. .U;.Undertraining/;- .R:Recruitmentplannedi^.theshort.andlong-term.*"d"^td CDCD^ !<• H(DH roco-£■ o ro
To.hlw 10. Personnel Off-line operations and administration Aat^a^igp^^
Sub-region
Country
NORTH AFRICA
Egypt Sudan
DP Operation Senior Junior 'Liaison DP input/ Ether" Data
Makers specials .. Qp ' ppV^. *^*i*U aatgt^. jug^ta P^P-^^
*■ E-'U R E U" R- E U R E_■ U" R E
-^ ■■■'12 5 3
• i.
R : E
-. 2 3 4. 12 2 20 1 1 3 170 - 5
R
22 4
R
Data .- -
■ prepv , .,--,:
E :U R
32
Managers/ .
Specialists
Annexes Page 13
"Others
E U . R
WEST AFRICA
Upper Volta
Cameroon — -'■ ' ~
Central African Empire 1 -
Congo - -
Zaire - -
{ orv.i.c j J\-' *ii- t
EAST AFRICA
Ethiopia *** . *" ~
Kenya 'V»*.:"~ ' '"
Lesotho - -
Madagascar •; 1 — -
Malawi 2 1 -
Somalia -" . ■ -~ ~- _ ■ ~
Swasiland — -
Tanzania. - - -
Uganda _ 1. ~
Zambia _~ "
TOTATj
1 1
- 4
- 2 - -' 2 - 86 24
__ _ — —
.. .-.,4!/-
...-> Jj: 2S-- 230•'.■;-"■ • 3
i 'i
6 -
4 4 12 2
- 5 6 - 13
- 4 - - _6-
■5 _
3 -
8 1 21
:^; Replies to ECA questionnaire, Expatriates
3. - 36 c_£_V5jM'i:_2_1 1g 1
' E: Ex'periended U: Urider training
R: Recruitment planned in the shcrt a
.. -7 3
5 - 1
1 6 -
26 ■
28 - 20 -
c 0
ar-d long-term
10 -
4 _-
2 6 --
25 8 42
2 --
1 —
K- -
6 ~
-r 2
1
2
■3 ' _
• 545 8 6 35 -
37DP: Data Processing Op: Operation.
22
9 -
60 10 - 20 10 - _ I
2S 3
40 =v-
2 481 34 41
2-' - 7 -
-,- - .■. _ ,. 1
1 17 4 4
TKUHBXi
Page 14 " -
Table 11: Number of staff trained by field of study
Sub-region Country -
Systems Training Programming
Introductory Basis Systems,. Advanced' Systems Assembly Language^ -COBOL- , FORTRAN. ;]RPGII ■'. :O.ther.-high^level° Statistical, nOperating-Systems-*j o *
package
NORTH AFRICA
Egypt ■.
Sudan .-■'
WES.T AFRICA Upper Volta
CENTRAL AFRICA Cameroon' :
Central Afr. Empire
Congo ""
Zaire
EAST AFRICA'
Ethiopia '-'■
Kenya - ''
Lesotho
Madagascar ■ Malawi ~ Somalia Swaziland
Tanzania ■
Uganda
Zambia
2A
2A,8B/2D1 1A,2B/2D1
11B/11E1 11B/11E1
2B/E3
2OB/C
10A,4B IB
13B/10D1
1B/D3 (PAL 11)
6A,20Bi0Dl
2B/D1 2B/D2,D3 3B/D1 1b/D3( ALGOL6O),"
1B/D3(ALGOL681R) and 1B/D3(ML/1)
2B/1C ,1D3 4B/2C, 2D3 5 B/5C 2B/lC,1D3(PL/l)
12A/2C,
8D2,2D32B/2E1
12A/2C,
8D2,2I>3
IB/El 10B/l0El(RPG)
11B/9C,2E1
(autocoder)3B/4C,2D3,4E\
1B/C,E3 3A/3D3
—
-
• - - — "-
; -
-1B/E3(PLAN)
_
—
-.
■ _ ..'
•-"" _
12B/9C,
3D3,9E1 3E3
- 3B/E3
3/C 6B/C
1/D2 ...
6A-4B
2B/2C,2Ei
.2B/E3 1B/E3
'3B/C- ' -
i'^ ■" _
6A,3B -2B-
4B/2C,2E3(IBM BAl) 14A/3B/D1 -$a/U)1,2E5 ' -
'.;.:iB;( algol)
3i (AL 60L)2E3 ■■""""
(COMMUNICATIONS) 3E3 (OEORGfE 3)
1B/E2 (CENTS) 1B/D2 (COCENTS)
5B, 4C/lD3( CENTS, 4B/lC, 3I>3/jCL( 0S- CENTS-AND COCENTS '" ■ ~'~' FTJ/
XTALLY)..
4B/4C (SPSS)
2B/D3(CENTS AND
COCENTS)(cents-aid ii),
/
ib/cc spss 1b/c (cocents) 2B/E3 (CENTS)
Sources; Replies to ECA questionnaire
A: Numbers in training
B s Numbers trained
C: Training within statistical offices or within government
D: Training in United Nations or other non—commercial centres
Dl: within the country
D2: outside the country but within Africa
D3s outside Africa
E: Training at manufacturers or other commercial centres
El: within the country
E2s outside the country but vathin Africa
E3: outside Africa.
fl.U of «t»<y
Canal I? latroafeoterjlattravdlata
78 W 60 BQ 77 li 7? Bo~ 78 W ' BE ~T7 7B" K1 'M 77 7B Tj So 77^*^80' K M ^7
Oli.r bl«tt-l«nl Btatiatlaul Of.
"SO" '^"l" t? W ~7) JB IS
mm tnici
U 10 « J 15 1OS1O4S1O tj 15 to 6^ 15 11 a 5
i - - - - i - - . - t - ,i/ ,i/ ,V _ . . » . <*31 , _ ,1/ ,
ran inict Dppar *slta ODTUL ITtlCl
Afrlu
•splr
U9T U1IC1
tut.pi.
<111 fill] (13 1 1 tit 6 J 1 J till 1111 1*1
iij
1 i ,o _;
1 I 10
1-1- -1-| ) J ! J
11 1
t) 1] 10 8 14* U U <l H 1»* 10 10 18* *4 15 10 *J 10 17 11 10* 7 * J X 4 1 1 1 - I* 5 4 1 1) IS Jl 5 J - -
tapllH ta Kt fBHt Ham
0«r|> t a J iBaaablar Oim a COCim
6/ K», 0a/*» 11/ DOS - TI
17 OHrc*/! Tj/m/n
1/ For tralalaf la hh \jp* ef prefruBlac "Q/ O.l/Ktt/n
£/ MWr nt ipHintt 14///
T^ Cim-ill u« ing J
Q/ O.l/Ktt/n 14/cica/Ka/ra JJ/ Sj.tw Hwtallatle
\&/ Cos.at.. ?5