RAF/AFCAS/09 –
E
October 2009
Agenda Item 5
AFRICAN COMMISSION ON AGRICULTURAL STATISTICS
Twenty-first Session
Accra, Ghana, 28-31 October 2009
The State of Food and Agricultural Statistics Systems in Africa 2009
I.
INTRODUCTION AND BACKGROUND
1.1.
Introduction
1. This is a report that has been prepared on the basis of the questionnaire covering “The State
of Food and Agricultural Statistical Systems in Africa”. It presents information on national
food and agricultural statistical systems in Africa and could serve as a basis for designing
cooperation programmes (between countries or with international agencies) and constitutes
an advocacy tool for funding the development of agriculture statistical systems in Africa.
2. This report has two components in conformity with the outline in the questionnaire. The
first section assesses the organization of the food and agricultural statistical systems which
constitute the legal framework, structures of the national statistical system, strategic
framework, dialogue with data users, financial resources, human resources and
international cooperation and external assistance. The second section deals with the outputs
of the food and agricultural statistical systems which also exhibits the adoption of
international classifications, main censuses and surveys conducted, availability and
coverage of agricultural statistics, availability of other statistics and indicators, national
account statistics, information technology, details on the main national food and
agricultural censuses and surveys, main administrative sources on food and agricultural
statistical information. These components do have a significant effect on the state of food
and agriculture statistical systems in Africa. A total of 30 completed questionnaires
returned from African countries were analyzed for this report.
1
1.2.
Background on the survey
3. Until the 17th Session of the African Commission on Agricultural Statistics (AFCAS) in
2001 (held in Pretoria, South Africa), member countries participating in AFCAS biannual
sessions were requested to present a statement on the current status of their agricultural
statistical systems, under the agenda item called “State of Food and Agricultural Statistics
in the Countries of the Region: Country Statements". In order to make these presentations
more relevant and focused, it was decided, starting with the 18th AFCAS Session in 2003
(held in Yaoundé, Cameroon), to request delegates to provide relevant information on the
infrastructure and organization of the Agricultural Statistics Systems in their country, the
resources and the outputs as well as specific information on relevant issues through a
standardized questionnaire. The first questionnaire was therefore designed to this effect and
sent to countries in 2003, just before the 18th AFCAS Session. The second round of this
questionnaire was also sent in 2005, before the 19th AFCAS Session held in Maputo,
Mozambique. Out of the 51 African countries, 31 responses (60.1%) were recorded timely
and a preliminary summary was presented during that Session, which was highly
appreciated by the delegates. Following the recommendation of that meeting, 4 additional
countries responded to the 2005 questionnaire, making a total of 35 responses.
4. For the 20th AFCAS Session held in Algiers, Algeria (in 2007), the questionnaire was
updated and again administered to African countries. Forty countries (78.4%) responded
before the meeting. Partial results were presented at that session. Considering the strong
willingness of having a more comprehensive report, it was recommended to provide
countries with more time so that missing data could be provided and the final report
produced and published. By the end of this extension period, additional 9 countries
responded to the questionnaire making a total of 49 (96%) responses. Now with regards to
the 21st session of AFCAS, 30 countries (58.8%) responded within the deadline and their
responses analysed in this preliminary report.
II.
METHODOLOGY AND CONSTRAINTS
2.1:
Methodology
5. The structure of the questionnaire was slightly reviewed so as to make it easier to be
completed by respondents. This was done not compromising the most important variables
in relation to the objectives of the survey. The questionnaire was addressed to FAO
contacts for agricultural statistics but filled in by any other concerned stakeholders. Follow
up was made to ensure that countries completed the questionnaire and sent it on time for
analysis. The completed questionnaires were edited to check the validity of the data
provided by countries before capturing them into the system. Software for data input, data
checking, data processing, tabulation and data analysis was also considered to produce
valid data for consumption.
6. With respect to data processing tools, Epi-data software was used to capture the data which
provided the necessary checks and value labels. SPSS software was used mainly for the
statistical analysis whilst MS-Excel was used in the graphical analysis.
2
2.2:
Constraints
7. The period given to countries to respond to the questionnaire was very short hence the
follow-up and monitoring of timely responses from countries was quite difficult. Most
countries could not reply within the stipulated deadline. With respect to that some portions
of the questionnaire (especially those requiring more attention and interaction with other
institutions) were not well completed. For example, relevant information relating to
financial resources, human resources and number of computers in use by countries was
generally missing. This affected detailed analysis of respective information (hence
interesting related indicators could not be generated on non-comprehensive coverage).
8. In some cases, the questionnaire was filled in by more than one respondent whilst in some
other cases, separate completed questionnaires were received which came from two sources
with different information.
III.
REPORTING STATUS
9. A total of fifty-one African countries were assigned the questionnaire and 30 (58.8%) of
them responded to the questionnaire before the 21st AFCAS meeting. This has been the
lowest rate of response since the 19th session of AFCAS in 2005. In 2005, there were 31
(60.1%) responses, followed by 40 (78.4%) responses in 2007. Obviously there has been a
reduction by about 21% in 2009.
10. Chart 3.1 and Table A1a in the annex shows that there has been general rise and fall in
response to AFCAS questionnaire from 2005 to 2009 throughout the sub-regional zones
except in the northern region where reporting status was stable at about 80% (2005 and
2007) then fell drastically to about 20%.
Chart 3.1: Country response to questionnaires for AFCAS by sub-regional zones
120
100
80
Percent
East Africa
North Africa
60
Central Africa
40
Southern
Africa
West Africa
20
0
2005
2007
2009
Year
3
11. According to Chart 3.2 and Table A1b and A1c in the annex, a total of 22 (43.1%)
countries, over the years, sustained their contributions to the survey on the “State of Food
and Agricultural Statistics Systems in Africa”. A small proportion (about 4%) of countries
were not able to contribute to the survey. These include Djibouti and Libya.
Chart 3.2: Country response to AFCAS questionnaire for 2005, 2007 and 2009
43.1
45.0
39.2
40.0
35.0
30.0
25.0
Percent
20.0
13.7
15.0
10.0
3.9
5.0
0.0
Thrice
Twice
Once
None
Number of times
IV.
FINDINGS
12. This chapter has two sections. Section one considers the organization of the food and
agricultural statistical systems whilst section two deals with the outputs of the food and
agricultural statistical systems in Africa.
4.1.
The organization of the Food and Agricultural Statistical System
4.1.1
Legal framework of statistical activities
13. Legal Framework provides guidance on the background statutes, regulations and policies
that support, in this respect, the basis for which statistical activities are carried out. Its
importance cannot be overlooked as it brings along organized or well structured values that
promote effective and sustainable statistical systems. Chart 4.1 and Table A2, therefore
present the legal framework in African countries for year 2007 and 2009. Majority of the
countries that responded to the questionnaire stated that legal framework is in existence for
both general and agricultural statistical activities as at 2007 and by 2009 but very small
proportions of these countries have an active agricultural advisory committee during the
same period, thus, making about 39% and 24% for 2007 and 2009 respectively.
4
14. Apparently, there are still some countries that need to be investigated on reasons why they
have not established a legal framework for agricultural statistical activities and if possible
encourage them to do so. Almost all the countries (about 96%) have legal framework for
general statistical activities but just about 70% have it separately for agricultural statistics.
Chart 4.1: Legal framework of statistical activities by Year
120.0%
100.0%
95.9%
96.2%
76.0%
80.0%
Percent
68.8%
64.3%
61.4%
60.0%
2007
2009
35.7%
40.0%
38.6%
31.3%
24.0%
20.0%
4.1%
3.8%
0.0%
Yes
No
Existence of legal framework for general
statistical activities
Yes
No
Existence of legal framework for
agricultural statistical activities
Yes
No
Existence of an active agricultural
statistics advisory committee
Legal framework
15. Now, considering the relationship between the existence of legal framework and active
advisory committee in African countries for the years 2007 and 2009, it was observed that
in 2007, out of a total of 29 countries that had legal framework for agricultural statistics,
less than 50% of them had active advisory committees. Then in 2009, out of a total of 16
countries that responded to this question, 31% have active agricultural statistics advisory
committee. This is shown in Table 4.1. There has certainly been a slight decrease in active
advisory committees in African countries that responded to the survey. This implies that
some committees have gone dormant since 2007.
5
Table 4.1: Relationship between the Existence of legal framework for agricultural statistical
activities and the Existence of an active agricultural statistics advisory committee by Year
Existence of an active agricultural
statistics advisory committee
Year
2007
Existence of legal framework for Yes
agricultural statistical activities
No
Total
2009
Existence of legal framework for Yes
agricultural statistical activities
No
Total
Yes
No
Total
13
16
29
44.8%
55.2%
100.0%
4
11
15
26.7%
73.3%
100.0%
17
27
44
38.6%
61.4%
100.0%
5
11
16
31.2%
68.8%
100.0%
1
8
9
11.1%
88.9%
100.0%
6
19
25
24.0%
76.0%
100.0%
4.1.2 Structure of the National Statistical System
16. The structure of a statistical system plays a major role in the affairs of the activities
especially the mandate attached to its responsibilities. In this regard, issues related to the
structure of statistical systems at national levels were inquired of countries in this survey.
Chart 4.2 depicts the pattern in Africa. In this case, a statistical system decentralized by
sector with a coordinating authority is dominant in African countries especially in the year
2009 (about 44%). This is followed by a system decentralized by sector with minimum
coordination (22%) in 2009.
17. Chart 4.2 goes on to show that between the year 2007 and 2009, some countries have
moved from a system decentralized by sector with minimum coordination to a system
decentralized by sector with a coordinating authority. Thus, this has caused the figure to
drop to 22% in the former and increase to 44% in the latter.
6
Chart 4.2: Structure of the general statistical system in Africa by Year
50
44.4
45
40.8
40
35
Percent
30
26.5
25
24.5
2007
25.9
2009
22.2
20
15
8.2
10
7.4
5
0
System decentralised by sector, System decentralised by sector
Major operating office for
with minimum coordination
with coordinating authority
general statistics & coordinating
authority
System with only one
department responsible for
statistics
Structure
18. In the case of sub-national level, Table 4.2 indicates that, there was a general decrease from
about 66% in 2007 to 57% in 2009 in the existence of a general statistical system. The
same issue goes for the agricultural statistical system at the sub-national level.
Table 4.2: General and agricultural statistics system at sub-national level- 2007 and 2009
Year of data collection
2007
Statistical system at sub-national level
2009
Count
Col
%
Count
Col
%
Existence of general statistical system at the sub-national
level
Yes
29
65.9%
15
57.7%
No
15
34.1%
11
42.3%
Presence of agricultural statistical system at the subnational level
Yes
31
68.9%
14
51.9%
No
14
31.1%
13
48.1%
19. Analyzing the institutions responsible for the production of agricultural statistics, Table 4.3
establishes that based on the cases captured by countries, the agricultural statistical offices
are mainly used by countries (about 79% in 2007 and 73% in 2009) and entrusted with the
responsibility of producing agricultural statistics.
7
Table 4.3 : Most important national institution involved in the production of agricultural
statistics by Year
Institution
National Statistical Office
Agricultural Statistical Office
Other
Total
Year of data collection
2007
2009
Total
19
12
31
40.4%
46.2%
37
19
78.7%
73.1%
4
2
8.5%
7.7%
47
26
56
6
73
4.1.3 Strategic framework
20. An NSDS is expected to provide a country with a strategy for strengthening statistical
capacity across the entire national statistical system (NSS). The NSDS provides a vision for
where the NSS should be in five to ten years and sets milestones for getting there. It
presents a comprehensive and unified framework for continual assessment of evolving user
needs and priorities for statistics and for building the capacity needed to meet these needs
in a more coordinated, synergistic and efficient manner. It also provides a framework for
mobilising, harnessing and leveraging resources (both national and international) and a
basis for effective and results-oriented strategic management of the NSS.
21. In this regard, countries were asked to provide information on the existence, operational,
inclusion of program of activities for statistics, period covered by such programmes on
selected strategies. The major strategies selected were the National Strategy for the
Development of Statistics (NSDS) and National strategy for Agricultural Statistics (NSAS).
22. In the case of NSDS, majority of the countries that responded to this question indicated the
existence of such a strategy in their statistical system in both 2007 and 2009. With regards
to its operationality, there was a tremendous increase in countries that have operational
NSDS from about 42% in 2007 to 68% in 2009. The most interesting aspect is that a few
more countries having NSDS have added programmes of activities for general statistics
making the proportion to rise from 91% in 2007 to 95% in 2009 thus making a 4% increase
as shown in Chart 4.3 and Table A3.
8
Chart 4.3: National Strategy for the Development of Statistics (NSDS) by Year
100.0%
90.6%
95.0%
90.0%
80.0%
76.9%
72.7%
68.2%
70.0%
58.1%
60.0%
Percent
50.0%
41.9%
2007
40.0%
2009
31.8%
27.3%
30.0%
23.1%
20.0%
9.4%
10.0%
5.0%
0.0%
Yes
No
Yes
Existence of national strategy for
the development of statistics
(NSDS)
No
Is the NSDS operational?
Yes
No
Does it include a programme of
activities for general statistics
NSDS
23. Considering the case of NSAS, Chart 4.4 and Table A4 show that the operationality of
existing NSAS reduced from about 68% countries in 2007 to about 47% in 2009. However,
just like the NSDS, a few more countries that hitherto did not include programme of
activities for agricultural statistics did so in 2009 raising the proportion from 82% of
countries in 2007 to about 93% in 2009.
Chart 4.4: National Strategy for Agricultural Statistics (NSAS) by Year
100.0%
92.9%
90.0%
81.8%
80.0%
68.2%
70.0%
60.0%
Percent
50.0%
51.9%
55.6%
53.3%
48.1%
46.7%
44.4%
40.0%
2007
2009
31.8%
30.0%
18.2%
20.0%
7.1%
10.0%
0.0%
Yes
No
Existence of national strategy for
agricultural statistics (NSAS)
Yes
No
Is the NSAS operational
Yes
No
Does it include programme of
activities for agricultural statistics
NSAS
9
24. Countries were also asked to provide information on the period covered by the programmes
designed for statistical activities and these are some of the responses. It has been realized
that, according to Table A10, a total of 17 countries out of 23 (73.9%) have programmes of
activities for general statistics in NSDS running between 1 and 5 years whilst 6 countries
(26%) had similar programmes running within 6 and 10years in 2007, with majority of
them coming from West Africa (41%). In 2009, 14 out of 15 countries that have NSDS
included programmes for general statistics running for 1 to 5 years thus making about 93%.
Obviously there has been an increase of about 20% between 2007 and 2009.
25. The NSAS has a similar trend. Table A11 indicates that 14 out of 19 countries having
NSAS did have programmes of activities for agricultural statistics running within 1 and 5
years in 2007 making about 74%. In the year 2009, records show that 10 out of 11
countries have similar programmes running for 1 to 5 years making about 91%.
26. This shows an increase in countries having to include programmes of activities for
agricultural statistics in their NSAS. To buttress this point, there has been an increase in the
proportion by about 17% between 2007 and 2009.
4.1.4 Dialogue with data users
27. Investigation was also made into the existence and level of dialogue between agricultural
statistics producers and users, and is has been discovered that according to Table 4.4 that in
2007, 16 out of 19 countries (84%) that answered in the affirmative to the existence of an
official forum for dialogue between agricultural statistics producers and users, made their
results available to users.
28. In 2009, 8 out of 10 countries (80%) with the existence of this forum have their results
available to users. In comparison with 2007, there has been a reduction in the number of
countries that make such privileges available.
29. Now assessing the regularity of dialogue with national data users of agricultural statistics in
both years, it was observed according to Table 4.5 that almost all the dialogues with the
selected data users were done mainly on adhoc basis in both 2007 and 2009. Thus, a larger
proportion of countries conducted such dialogues as and when needed. There is however no
specified period for such events.
10
Table 4.4: Existence of an official forum for dialogue between agricultural statistics producers
and users by Accessibility of agricultural census results - 2007 and 2009
Are results available to users
Year of data collection
Yes
No
Total
2007
16
3
19
84.2%
15.8%
100.0%
18
3
21
85.7%
14.3%
100.0%
34
6
40
85.0%
15.0%
100.0%
8
2
10
80.0%
20.0%
100.0%
8
2
10
80.0%
20.0%
100.0%
16
4
20
80.0%
20.0%
100.0%
Existence of an official forum Yes
for dialogue between
agricultural statistics producers
and users
No
Total
2009
Existence of an official forum Yes
for dialogue between
agricultural statistics producers
and users
No
Total
11
Table 4.5: Frequency of dialogue with national data users - 2007 and 2009
Year of data collection
2007
National data users
State planning organizations
Representatives of academic environment
Media
Chamber of commerce
Central Bank
Treasury/Ministry of Finance
Private sector representatives
Socio-Professional representatives
2009
Count
Col %
Count
Col %
Yes on regular basis
8
29.6%
3
18.8%
Yes on adhoc basis
18
66.7%
10
62.5%
No
1
3.7%
3
18.8%
Yes on regular basis
5
20.0%
2
12.5%
Yes on adhoc basis
13
52.0%
9
56.3%
No
7
28.0%
5
31.3%
Yes on regular basis
4
17.4%
2
14.3%
Yes on adhoc basis
11
47.8%
6
42.9%
No
8
34.8%
6
42.9%
Yes on regular basis
3
13.0%
2
15.4%
Yes on adhoc basis
13
56.5%
6
46.2%
No
7
30.4%
5
38.5%
Yes on regular basis
10
38.5%
2
13.3%
Yes on adhoc basis
13
50.0%
11
73.3%
No
3
11.5%
2
13.3%
Yes on regular basis
11
44.0%
3
20.0%
Yes on adhoc basis
10
40.0%
10
66.7%
No
4
16.0%
2
13.3%
Yes on regular basis
5
20.8%
3
20.0%
Yes on adhoc basis
16
66.7%
11
73.3%
No
3
12.5%
1
6.7%
Yes on regular basis
5
20.8%
2
15.4%
Yes on adhoc basis
15
62.5%
7
53.8%
No
4
16.7%
4
30.8%
4.1.5 Financial resources
30. Agricultural statistics thrives on exhaustive budget and appropriate funds deployed to
execute its activities. In this regard, this survey sought information on the financial
resources from all countries to be able to assess the likelihood of executing objectives and
purposes outlined by each country on the food and agriculture statistics for each year. Table
4.6 indicates clearly that some countries were not able to provide information on their
annual budget for some activities. The table goes on to show that average budget for each
country in Africa has almost been the same since year 2007. In the case of total annual
external funding, there has been a tremendous reduction in budget for each country.
12
Table 4.6: Level of financial resources (averages in USD) - 2007 and 2009
Sub-regions
Latest annual
budget estimates
for agric. Stats
activities
2007
2009
Annual regular
budget for staff
working on
agric. Stats.
2007
2009
Annual budget
for non-staff
working on
agric. Stats.
2007
Total annual
external funding
2009
2007
2009
North Africa
1307000
240000
1006274
1364200
West Africa
440977
167319
170688
118292
3961936
Central Africa
701066
416500
107455
514572
25038
East Africa
697286
1514925
847279
60000
224422
29104
300000
Southern Africa
659709
616929
319059
362221
679090
140000
1462549
Average Africa
657778
540063
388209
383196
894022
84552
1098035
1121038
Budget for
regular
training
2007
2009
10021
8000
334221
31709
38386
1019048
20865
24753
75000
576915
50724
50420
564556
30818
44433
31. Due to these findings, a further analysis was conducted to identify whether there was any
change in financial resources between 2007 and 2009. A t-test was run on the available
data and Tables 4.7 and 4.8 depict performances in countries that responded to the
questionnaire and it makes it clear that at 5% level of significance, there has not been any
significant change in the finances for agricultural statistics between 2007 and 2009.
Table 4.7: Group Statistics
Year of data
collection
Annual budget for agric.
statistics
N
Mean
Std. Deviation
Std. Error
Mean
2007
39
2.24E6
1.041E7
1667247.900
2009
17
5.08E5
776236.975
188265.120
Total regular budget for staff 2007
on agric. stats
2009
24
1.08E7
5.094E7
1.040E7
13
3.79E5
519375.804
144048.930
2007
9
4.35E5
606462.835
202154.278
2009
6
2.82E4
56001.814
22862.645
2007
10
6.88E5
945422.551
298968.861
2009
7
5.65E5
665027.649
251356.825
2007
2
27.00
38.184
27.000
2009
0a
.
.
.
Budget for consultants
External funding
Other resources
a. t cannot be computed because at least one of the groups is empty.
13
Table 4.8: Independent Samples Test
Levene's
Test for
Equality
of
Variances
Dependent
variables Assumptions
Annual
budget for
agric.
statistics
Total
regular
budget for
staff on
agric. stats
Equal
variances
assumed
Equal
variances
not assumed
Equal
variances
assumed
Equal
variances
not assumed
Budget for Equal
consultants variances
assumed
Equal
variances
not assumed
External
funding
Equal
variances
assumed
Equal
variances
not assumed
F
Sig.
t-test for Equality of Means
t
df
Sig.
(2Mean
tailed) Difference
Std. Error
Difference
95% Confidence Interval
of the Difference
Lower
Upper
54
.498 1732185.410 2541395.362
6827376.334
3363005.514
1.032 38.960
.308 1732185.410 1677843.651
5126055.380
1661684.560
1.313 .257 .682
2.239 .144 .736
35
.467
1.047E7
1.422E7
-1.841E7
3.934E7
1.006 23.009
.325
1.047E7
1.040E7
-1.105E7
3.198E7
3.175 .098 1.620
13
.129 407208.556 251408.782 -135927.097 950344.208
2.002 8.204
.079 407208.556 203442.996 -59910.854 874327.965
.977 .339 .297
15
.771 123542.971 416179.611 -763522.872 1010608.815
.316 14.988
.756 123542.971 390592.669 -709045.894 956131.837
14
4.1.6 Human resources
32. The level of human resources in handling the affairs of food and agriculture statistics is
very essential in determining the state of activities in each country on the African continent.
For the purpose of this report, countries were required to provide the number of
professional and support staff at headquarters and regional or local offices. Table 4.9
demonstrates the average number of human resources per sub-region and Africa in general.
On the average, there has been a decrease in number of staff per country in Africa since the
year 2007.
33. The average number of professional staff for both Headquarters and local office has
reduced to 3 and 9 respectively since 2007. Similar case goes for support staff at both
headquarters and local or regional offices. Comparing 2005, 2007 and 2009, East Africa
recorded the highest average number of professional staff at the headquarters. The region
also had the highest number of support staff at the local offices over the same period.
Meanwhile, North Africa recorded the highest number of professional staff at their regional
or local offices for 2005, 2007 and 2009 but a had low number of professional and support
staff at the headquarters.
Table 4.9: Human Resources (2005-2009)
Average no. of
Prof. Staff in the
HQ
Sub-region
Average no. of Prof.
staff in the
regional/local office
Average no. of
support staff in the
HQ
Average no. of
support staff in the
regional/local
offices
2005
2007
2009
2005
2007
2009
2005
2007
2009
2005
2007
2009
North Africa
6
9
8
118
123
191
5
21
3
38
153
96
West Africa
10
12
16
22
32
34
11
9
10
3
25
56
Central Africa
14
13
16
8
36
23
7
8
10
14
8
23
East Africa
29
23
35
151
37
20
120
28
48
1779
120
160
Southern Africa
5
5
8
0
10
2
14
10
7
83
84
7
Average Africa
11
12
3
43
35
9
26
13
3
287
66
12
34. For improved effective work, staff need to be trained on regular basis hence a probe was
made on this issue on countries and it was observed that about 60% of them did not
organize training programs for their respective staff both in 2007 and 2009 as shown in
Chart 4.5 and Table A5. There has not been any significant change since 2007 in this
regard.
15
Chart 4.5: Existence of regular training program for staff
70.0%
65.3%
64.3%
60.0%
Percent
50.0%
40.0%
Yes
35.7%
34.7%
No
30.0%
20.0%
10.0%
0.0%
2007
2009
Year
35. A further analysis was conducted on the human resources to determine whether there was
any change in capacity building and Tables 4.10 and 4.11 show that at 5% level of
significance, there has not been any significant change in human resources in African
countries since the year 2007.
Table 4.10: Group Statistics
Year of data
collection
N
Mean
Number of professional
staff in the headquarters
2007
48
11.65
20.264
2.925
2009
28
15.89
25.757
4.868
Number of professional
staff in thr regional/local
offices
2007
41
47.63
67.009
10.465
2009
22
30.68
46.866
9.992
Number of support staff in 2007
the headquarters
2009
43
14.95
31.695
4.833
25
17.44
44.835
8.967
number of support staff in 2007
the regional/local offices
2009
40
79.45
166.069
26.258
18
83.61
195.923
46.180
Std. Deviation Std. Error Mean
16
Table 4.11: Independent Samples Test
Levene's Test
for Equality of
Variances
Dependent
variables
95% Confidence
Interval of the
Difference
Assumptions
Number of
Equal
professional variances
staff in the
assumed
headquarters
Equal
variances not
assumed
Number of
professional
staff in thr
regional/local
offices
Equal
variances
assumed
F
.550
3.219
Equal
variances not
assumed
Number of
Equal
support staff variances
in the
assumed
headquarters
Equal
variances not
assumed
number of
support staff
in the
regional/local
offices
t-test for Equality of Means
Equal
variances
assumed
Equal
variances not
assumed
.340
.154
Sig.
t
.461 -.796
df
Sig.
(2Mean
Std. Error
tailed) Difference Difference Lower
Upper
74
.428
-4.247
5.332 -14.872
6.378
-.748 46.531
.458
-4.247
5.679 -15.674
7.180
61
.296
16.952
16.077 -15.195 49.100
1.172 56.591
.246
16.952
14.469 -12.026 45.931
66
.790
-2.487
9.310 -21.075 16.101
-.244 38.133
.808
-2.487
10.187 -23.106 18.133
56
.934
-4.161
49.859
95.718
104.041
-.078 28.472
.938
-4.161
53.123
104.575
112.897
.078 1.054
.562 -.267
.697 -.083
17
4.1.7 International cooperation and external assistance
36. As both an active and proactive player in the development field, it (international
cooperation and external assistance) tackles universal issues, promotes good governance,
human and social development, security and migration, natural resources, and more.
37. It also provides direct economic support to partner countries, both at the macro- and
microeconomic levels. This includes supporting national budgets, funding regional
integration activities and micro-finance initiatives.
38. International cooperation and external assistance is where countries share resources or aid
in terms of technical expertise and finances. Certain issues, such as poverty and
environmental degradation, cut across borders and pose a challenge for humanity as a
whole. These universal challenges require global co-operation and collaboration. In
addition, since they often disproportionately affect poorer countries that are ill-equipped to
deal with them, richer societies, such as the EU, have a responsibility to assist developing
countries.
39. This promotes a sustainable economic system in all fields including agricultural statistics.
In this survey, countries provided information on the existence of long term experts or
consultants, technical assistance projects and partnership with similar institutions abroad.
40. Chart 4.6 and Table A6 illustrate that African countries have had low levels of long term
experts or consultants at post for the period of 2007 and 2009. Technical assistance projects
have increased from about 43% to 61% between the years 2007 and 2009. Meanwhile there
has been an increase in countries having partnerships with similar institutions between
2007 and 2009, thus from 16.3% to 44.8% respectively.
Chart 4.6: International cooperation and external assistance by Year
90.0%
83.7%
82.1%
79.2%
80.0%
70.0%
60.7%
57.4%
Percent
60.0%
55.2%
50.0%
42.6%
44.8%
2007
39.3%
40.0%
2009
30.0%
20.0%
20.8%
17.9%
16.3%
10.0%
0.0%
Yes
No
Are there long term
experts/consultants(>3months) in the
past 12 months
Yes
No
Have there been any technical
assistance projects in the past 12
months
Yes
No
Existence of a partnership with a
similar institution abroad
External assistance
18
41. A further investigation was made on the relationship between the use of long term experts
or consultants and the presence of technical assistance projects over the years 2007 and
2009. Table 4.12 has shows that out of a total of 10 countries that have had long term
experts at post, 7 of them (70%) had technical assistance projects as well in 2007. In
comparison with 2009, all countries that had long term experts or consultants did have
technical assistance projects running concurrently. It is therefore assumed that countries are
now having both functions in execution or in progress.
Table 4.12: Relationship between the use of long term experts/consultants and the presence of
technical assistance projects in the past 12 months by Year
Have there been any technical
assistance projects in the past 12
months
Year of data collection
2007
Are there long term
Yes
experts/consultants(>3months) in the
past 12 months
No
Total
2009
Are there long term
Yes
experts/consultants(>3months) in the
past 12 months
No
Total
4.2
Yes
No
Total
7
3
10
70.0%
30.0%
100.0%
13
24
37
35.1%
64.9%
100.0%
20
27
47
42.6%
57.4%
100.0%
5
0
5
100.0%
.0%
100.0%
11
11
22
50.0%
50.0%
100.0%
16
11
27
59.3%
40.7%
100.0%
Outputs of the Food and Agricultural Statistical System
4.2.1 Adoption of international classifications
42. A standard classification of economic activities was arranged so that entities could be
classified according to the activity they carry out. The categories of ISIC at the most
detailed level (classes) are delineated according to what is, in most countries, the customary
combination of activities described in statistical units. The groups and divisions, the
successively broader levels of classification, combine the statistical units according to the
character, technology, organization and financing of production.
19
43.Wide use has been made of ISIC, both nationally and internationally, in classifying data
according to kind of economic activity in the fields of population, production, employment,
gross domestic product and other economic activities (Source: United Nations). ISIC is a
basic tool for studying economic phenomena, fostering international comparability of data
and for promoting the development of sound national statistical systems. Thus, despite the
word "industrial" in its name, ISIC is not just a classification of industries.
44. In other words, International classifications such as International Standard Industrial
Classification (ISIC), Central Product classification (CPC), Standard International Trade
Classification (SITC) and Harmonized System Classification (HSC) are means of grouping
items under common levels or standard forms to enable international comparisons.
45. To identify the types adopted by countries in Africa, Chart 4.7 and Table A7 makes it clear
indicating that comparing responses in the 2007 survey and that of 2009, there has been an
increase in the number of countries adopting ISIC, CPC, SITC and HSC in 2009. A similar
observation goes for their respective regional classification and other means as used by
countries. The adoption of HSC is very high in African countries.
Chart 4.7: Adoption of international classification by Year
90.0%
80.0%
70.0%
60.0%
Percent
2007
50.0%
2009
40.0%
30.0%
20.0%
10.0%
0.0%
Yes
No
ISIC - adoption
Yes
No
CPC - adoption
Yes
No
SITC - adoption
Yes
No
HS - adoption
Yes
No
Regional
Classification eg.
SADC, AOAD,
AFRISTAT adoption
Yes
No
Other - adoption
International classification
4.2.2 Agricultural censuses and surveys
4.2.2.1 Agricultural census
46. The status of agricultural census is very essential in assessing the state of food and
agricultural statistics systems. In this regard, countries were asked to provide information
on whether agricultural census has been conducted, results made available to users,
external financial and technical support, whether conflicting census data and current data
were reconciled and when the next agricultural census would be organized.
20
47. Table 4.13 indicates that since year 2007, there has not been any significant additional
number of countries that have conducted agricultural census (i.e. 79.6% in 2007 and 79.3%
in 2009).
48. The table goes on to show that external financial support for agricultural census increased
from about 78% in 2007 to about 87% in 2009. Meanwhile, external technical support also
reduced from about 82% to 74% in 2007 and 2009 respectively. It has been observed that
more countries are reconciling conflicting census data with their respective current data.
The interesting information observed is that a few more countries would also be conducting
agricultural census in the next 3 years (i.e. by year 2012).
Table 4.13: Status of agricultural census- 2007 and 2009
Year of data collection
2007
Agricultural census
Is agricultural census already conducted in the country
Are results available to users
Was there an external financial support
Was there an external technical support
Do you reconcile between conflicting census data and current statistics
Plans for conducting agricultural census in the next 3 years
2009
Count Col % Count Col %
Yes
39
79.6%
23
79.3%
No
10
20.4%
6
20.7%
Yes
34
85.0%
19
82.6%
No
6
15.0%
4
17.4%
Yes
29
78.4%
20
87.0%
No
8
21.6%
3
13.0%
Yes
31
81.6%
17
73.9%
No
7
18.4%
6
26.1%
Yes
28
77.8%
16
80.0%
No
8
22.2%
4
20.0%
Yes
26
63.4%
17
68.0%
No
15
36.6%
8
32.0%
4.2.2.2 Main agricultural surveys
49. A few investigations were made on selected agricultural surveys that had been conducted in
each African country and Table 4.14 reveals that as at 2007 more countries conducted
surveys in crop production, livestock production, producer prices and cost of production
than in 2009.
21
Table 4.14: Main agricultural surveys conducted- 2007 and 2009
Year of data collection
2007
Surveys
2009
Count Col % Count Col %
Has crop production survey already been conducted
Has livestock production survey already been conducted
Has producers prices survey already been conducted
Has cost of production survey already been conducted
Is market information system operational
Yes
43
91.5%
26
89.7%
No
4
8.5%
3
10.3%
Yes
28
63.6%
16
57.1%
No
16
36.4%
12
42.9%
Yes
28
60.9%
17
60.7%
No
18
39.1%
11
39.3%
Yes
16
37.2%
10
35.7%
No
27
62.8%
18
64.3%
Yes
26
70.3%
18
64.3%
No
11
29.7%
10
35.7%
50. The institution responsible for agricultural census according to Table 4.15 shows that the
agricultural statistical office is mainly entrusted with the responsibility of conducting
agricultural census and production of the results to their respective users.
Table 4.15 : Institution responsible for agricultural census by Year
Year of data collection
Institution
National Statistical Office
Agricultural Statistical Office
Total
2007
2009
Total
19
13
32
44.2%
54.2%
31
13
72.1%
54.2%
43
24
44
67
4.2.3 Population census and Household budget survey (HBS)
51. A similar information on population census and Household Budget Survey (HBS) was
analyzed in this report. Table 4.16 shows that about 96% of countries who responded to the
related question in 2007 actually conducted population census whilst in 2009 all countries
that answered this question had conducted population census. Meanwhile the proportion of
countries that make their population census data available to users have increased from
about 84% in 2007 to 88% in 2009.
22
52. Now as at 2007, 55% of countries had indicated that they had plans for conducting
population census for the subsequent 3 years but in 2009 the proportion has increased to
about 62%.
53. Household budget survey produces data on changes in the consumption expenditure of
households and on differences in consumption by population groups. The survey also
studies the housing conditions, indebtedness, possession of durable goods, and income
among households. The survey is a sample survey for which data are collected from
households with interviews and diaries on purchase receipts and administrative registers
filled in by them,.
54. The HBS has also been conducted in almost all the countries (92%) that responded to this
question in 2007 and 2009.
Table 4.16: Status of population census and Household Budget Survey (HBS) - 2007 and 2009
Year of data collection
2007
Population census and HHBS
Has population census already been conducted in the country
Are the population census results available to users
Are questions on agriculture included in the population census question
For the next 3 years, are there plans of conducting a population census
Has HIES already been conducted in the country
2009
Count Col % Count Col %
Yes
47
95.9%
26
100.0%
No
2
4.1%
Yes
38
84.4%
22
88.0%
No
7
15.6%
3
12.0%
Yes
29
65.9%
16
64.0%
No
15
34.1%
9
36.0%
Yes
26
55.3%
16
61.5%
No
21
44.7%
10
38.5%
Yes
44
91.7%
24
92.3%
No
4
8.3%
2
7.7%
55. In the case of population census, it has been discovered according to Table 4.17 that the
national statistical office is mainly given the mandate to conduct and produce results on
population census. There are other institutions such as the National Population Commission
in Nigeria and Ministry of Interior in Burundi that support the exercise.
23
Table 4.17 : Institution responsible for population census by Year
Institution
National Statistical Office
Agricultural Statistical Office
Other
Total
Year of data collection
2007
2009
Total
47
23
70
95.9%
85.2%
0
2
.0%
7.4%
3
2
6.1%
7.4%
49
27
2
5
76
56. Considering the case of household budget survey, the national statistical office is mainly
(89% in 2007 and 100% in 2009) charged with responsibility 6.dxto conduct it and it is
sometimes supported by the agricultural statistics in areas related to food and agriculture.
This is shown in Table 4.18.
Table 4.18: Institution responsible for Household Budget Survey (HHBS) by Year
Institution
National Statistical Office
Agricultural Statistical Office
Other
Total
Year of data collection
2007
2009
Total
41
27
68
89.1%
100.0%
5
1
10.9%
3.7%
1
0
2.2%
.0%
46
27
6
1
73
24
4.2.4 Availability of other statistics and indicators
57. In this survey, other statistics and indicators such as agriculture GDP, rural income, terms
of agricultural trade index, agricultural producer prices, index of agricultural input prices,
agri-environmental indicators, food balance sheets and gender disaggregated data were not
left out. As they contribute immensely to the state of food and agriculture statistical
systems. In this regard, Table 4.19 displays these selected indicators that were gathered,
computed or used by countries. Agriculture GDP is compiled by most countries in Africa
(i.e. 84% in 2007 and 83% in 2009). This is followed by Gender disaggregated data in 2009
(78%). The least compiled by countries is on Index on Agriculture input prices which is
21% in 2007 and 5% in 2009.
Table 4.19: Compilation of other statistics and indicators - 2007 and 2009
Year of data collection
2007
Indicators
Agricultural GDP
Rural income
Agricultural terms of trade
Index of agricultural producer prices
Index of agricultural input prices
Agri-environmental indicators
Food balance sheets
Gender disaggregated data
2009
Count
Col %
Count
Col %
Yes
38
84.4%
20
83.3%
No
7
15.6%
4
16.7%
Yes
17
47.2%
10
43.5%
No
19
52.8%
13
56.5%
Yes
8
22.9%
4
20.0%
No
27
77.1%
16
80.0%
Yes
14
37.8%
2
11.1%
No
23
62.2%
16
88.9%
Yes
8
21.6%
1
5.0%
No
29
78.4%
19
95.0%
Yes
9
24.3%
4
22.2%
No
28
75.7%
14
77.8%
Yes
26
61.9%
19
73.1%
No
16
38.1%
7
26.9%
Yes
18
78.3%
No
5
21.7%
25
4.2.5 National account statistics
58. National accounts are based on the internationally recommended System of National
Accounts (SNA) 1993 and are a coherent, consistent and integrated set of macroeconomic
accounts; balance sheets and tables based on a set of internationally agreed concepts,
definitions, classifications and accounting rules. National accounts provide a
comprehensive accounting framework within which economic data can be compiled and
presented in a format that is designed for purposes of economic analysis, decision-taking
and policy-making.
59. Chart 4.8 and Table A8 depict the responses from countries for 2007 and 2009. It indicates
an increase in the adoption of SNA93 by countries from 78% in 2007 to 91% in 2009. In
the case of compilation of economic accounts for agriculture, there is a fall in the number
of countries that compile it from 58% to 50% in 2007 and 2009 respectively.
Chart 4.8: Compilation of national account statistics by Year
100.0%
90.0%
91.3%
78.4%
80.0%
70.0%
57.9%
60.0%
Percent
50.0%
50.0%
42.1%
50.0%
2007
2009
40.0%
30.0%
21.6%
20.0%
8.7%
10.0%
0.0%
Yes
No
Is SNA93 adopted by the country
Yes
No
Has there been compilation of economic accounts
for agriculture
National account statistics
60. A further analysis was made on the relationship between the adoption of SNA93 by
country and the compilation of economic accounts for agriculture by year and Table 4.20
makes it clear that in 2007, 15 out of 26 countries (58%) that adopted SNA93 also
compiled economic accounts for agriculture whilst in 2009, 12 out of 20 countries have
done so (60%).
26
Table 4.20: Relationship between the SNA93 adopted by the country and the compilation of
economic accounts for agriculture by Year
Has there been compilation of
economic accounts for agriculture
Year of data collection
2007
Is SNA93 adopted by the
country
Yes
No
Total
2009
Is SNA93 adopted by the
country
Yes
No
Total
Yes
No
Total
15
11
26
57.7%
42.3%
100.0%
3
4
7
42.9%
57.1%
100.0%
18
15
33
54.5%
45.5%
100.0%
12
8
20
60.0%
40.0%
100.0%
0
2
2
.0%
100.0%
100.0%
12
10
22
54.5%
45.5%
100.0%
61. Information provided on the institution responsible for national accounts statistics is clearly
shown on Table 4.21 and it indicates that the national statistical office is generally (about
86% in 2007 and 92% in 2009) mandated to make such data available to users. They are
sometimes supported by other institutions such as Central Bank in the case of Democratic
Republic of Congo while Ethiopia and Eritrea give that responsibility to their respective
Ministry of Finance and Economic Development.
Table 4.21: Institution responsible for National Account Statistics by Year
Year of data collection
Institution
National Statistical Office
Agricultural Statistical Office
Other
Total
2007
2009
Total
38
24
62
86.4%
92.3%
2
0
4.5%
.0%
4
3
9.1%
11.5%
44
26
2
7
70
27
4.2.6 Year of latest censuses and surveys
62. Information on the latest and next censuses and surveys was collected from countries in
this survey and Table A12 shows that between year 2010 and 2019, there would be new
series of population censuses conducted in 14 countries in Africa. There would also be
agricultural census between the year 2011 and 2020 in 9 countries. Meanwhile, DRC has
the oldest record (1970) on agricultural census in Africa and the period to conduct a new
one is not stated. Burkina Faso is currently conducting agricultural census and would
complete in 2010. In the case of household budget survey, 23 countries indicated the
availability of data on the latest survey. A total of 18 countries have indicated that they
have statistics on national accounts from 2002 to 2008 except Cote d’Ivoire which has it for
1996.
4.2.7 Information technology
63. Information technology is indispensable especially in statistical activities. According to
Chart 4.9 and Table A9, there is an increase in the use of ICT in Africa. Chart 4.9 goes on
to show that the existence of website has raised from 66% of the responding countries in
2007 to 76% in 2009 and existence of database has also increased from 61% countries in
2007 to 70% in 2009.
Chart 4.9: Status of information technology by Year
80.0%
70.0%
76.0%
69.6%
65.9%
61.4%
60.0%
54.5%
Percent
50.0%
45.5%
2007
38.6%
40.0%
2009
34.1%
30.4%
30.0%
24.0%
20.0%
10.0%
0.0%
Yes
No
Is there an existence of a website?
Yes
No
Existence of a database
Yes
No
Is database online
Information technology
28
64. In assessing the relationship between the existence of database, online database and website
by year, it is observed that in 2009, out of a total of 10 countries that have websites, 4 of
them have online database, thus accessed through the internet as shown in Table 4.22.
Table 4.22: Relationship between the existence of a database, database online and website by
Year
Is database online
Year of data
collection
Is there an existence of a website?
2009
Yes
Existence of a database
Yes
Total
No
Existence of a database
Yes
Total
Yes
No
Total
4
6
10
40.0%
60.0%
100.0%
4
6
10
40.0%
60.0%
100.0%
1
1
100.0%
100.0%
1
1
100.0%
100.0%
65. Computers serve as essential tools for analyzing data and other activities for statistics and
its availability cannot be overlooked in assessing the state of food and agricultural statistics
systems. Therefore Table 4.23 presents the distribution of computers in the sub-regions.
The year 2009 recorded the highest average number of computers owned and used at their
headquarters as compared with 2005 and 2007. East Africa had the highest average number
of computers at their headquarters in 2007 and 2009. On the other hand, West Africa
recorded the lowest computers owned and used at the regional or local offices in 2005. This
is followed by Southern Africa in the same year.
Table 4.23: Information Technology – Personal computers(PCs)
(2005-2009)
Average no. of PCs owned and in use
at the HQ
Sub-region
2009
Average no. of PCs owned and in use
at the regional/local offices
2005
2007
2005
2007
2009
North Africa
30
31
West Africa
15
15
31
1
5
9
Central Africa
13
11
19
2
8
18
East Africa
12
90
71
34
30
17
Southern Africa
12
22
42
3
10
12
Total
15
30
40
6
17
13
75
29
4.2.8 Details on the latest main national food and agricultural censuses and surveys
66. In order to ascertain the quality of data provided by countries in the area of food and
agriculture statistics, details on methods used by one of the latest national food and
agriculture censuses and surveys were inquired of the countries. The results are presented
in Table 4.24. The table shows that face to face interview was mainly used by almost all
countries. The mailing and the telephone system seemed not to be effective hence the low
proportion of countries (29% in 2007 and 20% in 2009) that used the mailed questionnaires
system as well as telephone interviews in collecting data.
67. An interesting observation is the use of quality controls (i.e. pre-validation, validation and
editing programs) in data capturing as practiced by majority of African countries. A large
number of countries value the use of quality data in producing reliable information to
enhance effective planning. Generally, it was reported that methods such as sampling and
non-sampling errors are calculated and monitored respectively in most countries on the
continent.
Table 4.24: Details on the latest main national food and agricultural censuses and surveys - 2007 and 2009
Year of data collection
2007
Methods
Face to face interviews
Mailed questionnaires
Telephone interviews
Use of compass and metric tape
Use of GPS
Use of administrative records
Quality controls (pre-validation, checks, etc.)
Quality controls (validation, editing program, etc.)
Results available to users
Sampling errors calculated
Non-sampling errors monitored
2009
Count
Col %
Count
Col %
Yes
43
100.0%
27
100.0%
Yes
5
29.4%
3
20.0%
No
12
70.6%
12
80.0%
Yes
1
6.3%
3
18.8%
No
15
93.8%
13
81.3%
Yes
16
88.9%
No
2
11.1%
Yes
9
56.3%
No
7
43.8%
Yes
9
45.0%
11
73.3%
No
11
55.0%
4
26.7%
Yes
31
93.9%
20
87.0%
No
2
6.1%
3
13.0%
Yes
40
97.6%
21
95.5%
No
1
2.4%
1
4.5%
Yes
40
93.0%
25
92.6%
No
3
7.0%
2
7.4%
Yes
21
63.6%
16
72.7%
No
12
36.4%
6
27.3%
Yes
28
84.8%
21
84.0%
No
5
15.2%
4
16.0%
30
V.
CONCLUSIONS AND RECOMMENDATIONS
68. This chapter covers the conclusions on the reporting status in chapter 3 and findings in
chapter 4. It also deals with recommendations on the survey.
5.1
Conclusions
69. Based on the findings from the survey, here are some conclusions drawn.













5.2
The response rate from countries regarding the survey has reduced in 2009 as compare
to the previous ones conducted in year 2005 and 2007.
Djibouti and Libyan Arab Jamahiriya have never contributed to this survey since its
inception
There is legal framework for agricultural statistical activities in about 70% of countries
that contribute to the survey.
A statistical system decentralized by sector with coordinating authority is the structure
used by majority of the countries
National strategy for agricultural statistics is in existence in less than 50% of African
countries.
There are only a few countries that enjoy external assistance in terms of experts or
consultants and technical assistance projects.
The Harmonized System Classification (HSC) and International Standard Industrial
Classification (ISIC) are used by most African countries.
Majority of the countries in Africa adopt the SNA93 in their respective national account
statistics.
There has been an increase in the use of information technology as the establishment of
website is on the rise as well as the use of computers in their respective headquarters.
Dialogue with data users are mostly done on adhoc basis by countries.
Majority of the countries do not have regular training programs for their staff
There has not been any significant change in human resources in the handling of
activities of agriculture statistics.
There has also not been any significant change in financial resources for managing the
affairs of agriculture statistics.
Recommendations
70. In relation to the conclusions made on the survey report, it is recommended that


Countries (especially Djibouti and Libyan Arab Jamahiriya) should be encouraged to
participate in the survey as it serves as an advocacy tool for agricultural statistics
development.
A focal point could be established to be responsible for timely receipt, completion and
sending back to base for processing.
31






Enquiries could be made on countries that do not have a legal framework on
agricultural activities and a further enquiry should be made on what framework is in
use in those countries and if possible they should be encouraged to establish one.
External assistance could also be channelled to African countries as they form the
majority in the world that is deprived in economic and social development.
The regularization of dialogue of agricultural statistics producers with users could be
encouraged
Human capacity building is essential in agricultural statistics development hence
countries could be encouraged and supported in designing a regular program for staff
training.
Institutions at levels of academia that provide courses in agricultural statistics could be
financially and technically supported in training personnel at the helm of affairs of that
ministry
Some countries made it clear that due to lack of funds, they have not been consistent in
the production of agricultural statistics. It is therefore recommended that great
importance is attached to providing assistance to such African countries.
32
VI.
ANNEX
Table A1a: Country responses by region for 2005-2009
Sub-regional zones
2005
2007
2009
No. of
countries
No. of
Reporting
countries
%
No. of
Reporting
countries
%
No. of
Reporting
countries
%
9
5
7
14
16
51
5
4
3
11
12
35
55.6
80
42.9
78.6
75
68.6
8
4
7
14
16
49
88.9
80
100
100
100
96.1
6
1
5
9
10
30
66.7
20.0
71.4
64.3
62.5
58.8
East Africa
North Africa
Central Africa
Southern Africa
West Africa
Total Africa
Table A1b: Country Response to AFCAS questionnaire in 2005, 2007 and 2009
No. of Country responses
2005-2009
%
Thrice
Twice
Once
None
22
20
7
2
43.1
39.2
13.7
3.9
Total
51
100
A1c: Country response to the AFCAS questionnaire - 2005, 2007 and 2009
Name of Country
Djibouti
Libyan Arab Jamahiriya
Sub-total
Angola
Burundi
Cape Verde
Central African Republic
Chad
Comoros
Gabon
Gambia
Guinea-Bissau
Lesotho
Liberia
Sao Tome and Principe
Sudan
Tanzania, United Republic of
Sub-total
2005
2007
2009
Total
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
14
1
1
1
1
2
2
2
2
1
1
1
1
2
1
1
2
1
2
21
1
1
1
7
33
A1c: Country response to the AFCAS questionnaire - 2005, 2007 and 2009
Name of Country
Algeria
Benin
Botswana
Burkina Faso
Cameroon
Congo, Dem Republic of
Congo, Republic of
Cote d'Ivoire
Egypt
Eritrea
Ethiopia
Ghana
Guinea
Kenya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Senegal
Seychelles
Sierra Leone
South Africa
Swaziland
Togo
Uganda
Tunisia
Zambia
Zimbabwe
Sub-total
2005
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
35
2007
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
35
2009
23
Total
2
2
3
3
3
3
2
3
2
3
3
3
2
3
2
3
3
2
3
2
3
3
3
3
2
3
2
2
3
3
3
3
3
3
2
93
Total Africa
35
49
30
114
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
34
Table A2 : Legal framework of statistical activities - 2007 and 2009
Year of data collection
2007
Legal framework
2009
Count
Col
%
Count
Col
%
Existence of legal framework for general statistical
activities
Yes
47
95.9%
25
96.2%
No
2
4.1%
1
3.8%
Existence of legal framework for agricultural statistical
activities
Yes
33
68.8%
18
64.3%
No
15
31.3%
10
35.7%
Existence of an active agricultural statistics advisory
committee
Yes
17
38.6%
6
24.0%
No
27
61.4%
19
76.0%
Table A3 : National Strategy for the Development of Statistics (NSDS) - 2007 and 2009
Year of data collection
2007
Count
Col
%
Count
Col
%
Yes
32
72.7%
20
76.9%
No
12
27.3%
6
23.1%
Yes
13
41.9%
15
68.2%
No
18
58.1%
7
31.8%
Yes
29
90.6%
19
95.0%
No
3
9.4%
1
5.0%
NSDS
Existence of national strategy for the development of
statistics (NSDS)
Is the NSDS operational?
Does it include a programme of activities for general
statistics
2009
Table A4 : National Strategy for Agricultural Statistics (NSAS) - 2007 and 2009
Year of data collection
2007
Count
Col
%
Count
Col
%
Yes
20
44.4%
14
51.9%
No
25
55.6%
13
48.1%
Yes
15
68.2%
7
46.7%
No
7
31.8%
8
53.3%
Yes
18
81.8%
13
92.9%
No
4
18.2%
1
7.1%
NSAS
Existence of national strategy for agricultural statistics
(NSAS)
Is the NSAS operational
Does it include programme of activities for agricultural
statistics
2009
35
Table A5 : Existence of a regular training program for staff by Year
Year of data collection
Existence of a regular training program for staff
Yes
No
Total
2007
2009
Total
17
10
27
34.7%
35.7%
35.1%
32
18
50
65.3%
64.3%
64.9%
49
28
77
100.0%
100.0%
100.0%
Table A6: International cooperation and external assistance - 2007 and 2009
Year of data collection
2007
External assistance
2009
Count Col % Count Col %
Yes 10
20.8% 5
17.9%
38
79.2% 23
82.1%
Yes 20
42.6% 17
60.7%
27
57.4% 11
39.3%
16.3% 13
44.8%
83.7% 16
55.2%
Are there long term experts/consultants(>3months) in the past 12 months
No
Have there been any technical assistance projects in the past 12 months
No
Yes 7
Existence of a partnership with a similar institution abroad
No
36
Table A7 : Adoption of international classification - 2007 and 2009
Year of data collection
2007
Type of classification
2009
Count
Col %
Count
Col %
Yes
18
50.0%
15
75.0%
No
18
50.0%
5
25.0%
Yes
8
29.6%
7
43.8%
No
19
70.4%
9
56.3%
Yes
10
33.3%
10
66.7%
No
20
66.7%
5
33.3%
Yes
16
55.2%
16
80.0%
No
13
44.8%
4
20.0%
Yes
7
25.9%
5
38.5%
No
20
74.1%
8
61.5%
Yes
7
53.8%
6
75.0%
No
6
46.2%
2
25.0%
ISIC - adoption
CPC - adoption
SITC - adoption
HS - adoption
Regional Classification eg. SADC, AOAD, AFRISTAT - adoption
Other - adoption
36
Table A8 : Compilation of national account statistics - 2007 and 2009
Year of data collection
2007
Count
Col
%
Count
Col
%
Yes
29
78.4%
21
91.3%
No
8
21.6%
2
8.7%
Yes
22
57.9%
12
50.0%
No
16
42.1%
12
50.0%
National account statistics
Is SNA93 adopted by the country
Has there been compilation of economic accounts for
agriculture
2009
Table A9: Status of information technology - 2007 and 2009
Year of data collection
2007
Information technology
Is there an existence of a website?
Existence of a database
Is database online
2009
Count
Col %
Count
Col %
Yes
29
65.9%
19
76.0%
No
15
34.1%
6
24.0%
Yes
27
61.4%
16
69.6%
No
17
38.6%
7
30.4%
Yes
5
45.5%
No
6
54.5%
37
Table A10: Frequency of countries by zones by Period covered by programme in NSDS
by Year
Period covered - NSDS
Year of data collection
2007
Sub-regional zones
East Africa
North Africa
Central Africa
Southern Africa
West Africa
Total
2009
Sub-regional zones
East Africa
North Africa
Southern Africa
West Africa
Total
1 - 5yrs
6 - 10yrs
Total
2
1
3
66.7%
33.3%
100.0%
1
0
1
100.0%
.0%
100.0%
2
2
4
50.0%
50.0%
100.0%
5
0
5
100.0%
.0%
100.0%
7
3
10
70.0%
30.0%
100.0%
17
6
23
73.9%
26.1%
100.0%
5
0
5
100.0%
.0%
100.0%
1
0
1
100.0%
.0%
100.0%
4
0
4
100.0%
.0%
100.0%
4
1
5
80.0%
20.0%
100.0%
14
1
15
93.3%
6.7%
100.0%
38
Table A11: Frequency of countries by zones by Period covered by programme in NSAS
by Year
Period covered - NSAS
Year of data collection
2007 Sub-regional
zones
1 - 5yrs 6 - 10yrs 11 - 15yrs 16 - 20yrs
East Africa
North Africa
Central Africa
Southern
Africa
West Africa
Total
2009 Sub-regional
zones
East Africa
North Africa
Central Africa
West Africa
Total
Total
4
1
1
0
6
66.7%
16.7%
16.7%
.0%
100.0%
1
0
0
0
1
100.0%
.0%
.0%
.0%
100.0%
3
0
0
0
3
100.0%
.0%
.0%
.0%
100.0%
3
0
0
0
3
100.0%
.0%
.0%
.0%
100.0%
3
2
0
1
6
50.0%
33.3%
.0%
16.7%
100.0%
14
3
1
1
19
73.7%
15.8%
5.3%
5.3%
100.0%
6
0
6
100.0%
.0%
100.0%
1
0
1
100.0%
.0%
100.0%
1
0
1
100.0%
.0%
100.0%
2
1
3
66.7%
33.3%
100.0%
10
1
11
90.9%
9.1%
100.0%
39
Table A12: Year of the latest and next censuses and surveys as at 2009
Year of the
Year of the Year of
latest
Year of
Year for
Country
latest
next
Year of the
National
the latest
the next
Agric.
Agric.
latest HBS
account
Pop.
Pop.
census
Census
survey
statistics
census
census
North Africa
Tunisia
West Africa
Burkina Faso
Cape Verde
Cote d'Ivoire
Ghana
Guinea Bissau
Nigeria
Niger
Senegal
Togo
Central Africa
Cameroon
DRC
Central African
Rep.
East Africa
Burundi
Ethiopia
Eritrea
Kenya
Tanzania
Uganda
South Africa
Angola
Botswana
Malawi
Mauritius
Mozambique
Namibia
South Africa
Zambia
2005
2008
2004
2014
2009
2001/02
2008
2003
2002
1996
2006
2000
1998
2016
2010
2008
2006
2016
2007-2008
2006/07
2006
2008
2001
2002
1981
1984
1970
2005
2007
1984
1985
1992
2005
2003
2013
1991
2004/05
2006
2007/08
2017
2017
2005/06
2007
1988/89
2008
2008
2008
2008
2007
2008
2009
2002
2002
1970
2001
2008
2000
2007
2001
2001
2000
2011
2011
2018
2006-2010
2004
2001
1985/86
1988
1993/94
2004-2007
1998
1996
20162020
2014
20142017
2007
2001/02
2011
2008
2008/09
2013
2017
2004
2006/07
2014
2016
2000
2004/05
2007
1992
2013
1996/2009
2009
2004
2006/07
2008
2003/04
2005
2006
2008
2002
2009
2008
2008
2008
2019
2012
2017
2013
40
Table A13: Versions adopted and digits used under international classifications - 2009
ISIC
Country
Version
CPC
Digits
Angola
Version
SITC
Digits
Version
Digits
Version
7
Botswana
4
4
4
4
CITI
COICOP
Digits
6
Burkina Faso
Burundi
HS
4
4
9
HS2002
8
Cape Verde
Cameroon
Central African Rep.
Cote d'Ivoire
DRC
Ethiopia
3.1
3
2002 for trade
8-Feb
8
2007
8
Eritrea
Ghana
Guinea Bissau
Kenya
rev 3
Malawi
Mauritius
4
rev 3
3.1
6
1
4
3
6
2002
8
rev 4 of 2008
4
1.1
5
revision 4
7
2007
8
4
4
2
5
7
6
2007
8
Mozambique
Namibia
Nigeria
3
7
Niger
Sao Tome and Principe
rev 2001
Senegal
HS10
South Africa
Swaziland
1993
5
3.1
4
2
10-Apr
3
Tanzania
Tunisia
rev 4
4
Uganda
rev 3.1
4
Zambia
2 and 4
2
2
5
2007
6
Togo
41