2. Introduction
Information on age and sex is important because
many of the other characteristics of the
population such as fertility, mortality, migration,
education, marriage, household formation,
economic activity health, food and other
consumption needs etc. are highly related to age
and sex.
3. Objectives
Studies from different African countries show that
the majority of data collected are riddle with
errors, Sudan being no exception. Therefore the
specific
objectives of the study are:
To evaluate the 2008 age and sex data.
To adjust the 2008 age and sex data.
4. Methodology
Sex Ratio.
Population pyramid
Intercensal Cohort Analysis.
In an attempt to examine the nature of
errors in 2008 census, several
methods will be used.
Whipple Index
Myers Index.
5. Methodology
..cont.
Age Ratio.
U. N. Joint Score.
Comparisons with population
models. To compare the
actual percent distribution by
an expected age distribution
of stable population model.
6. Sex Ratio
Year
Population (000)
Region Sex Ratio
1955/1956 Sudan 102
1973 Sudan 103
1983 Sudan 102
1993
Sudan 104
N. Sudan 101
S. Sudan 113
2008
Sudan 105
N. Sudan 105
S. Sudan 108
7.
8. Overall Survival Ratios (OSR) by Region and
Sex Sudan 1993-2008
Region
Overall Survival Ratios
Females Males
Northern 0.85 0.84
Eastern 0.83 0.87
Khartoum 1.31 1.34
Central 0.62 0.56
Kordofan 0.72 0.64
Darfur 1.43 1.49
9. Whipple’s index shows that the age
data for Sudan should be regarded as
“rough “ . However, there has been a
slightly improvement in the quality of
age data in the 2008 census in
comparison with the earlier censuses.
Sex
1983 1993 2008
Sudan
Males 280.0 255.7 218
Females 286.3 279.5 234
11. The value of the index places Sudan in the
highly inaccurate category with score
above 40, Although an improvement has
occurred in the quality of grouped data
over successive censuses
year score
1973 67.1
1983 62.2
1993 56.6
2008 53.5
12. This table indicates the omissions in age 0
and 1, and this has resulted in an excess in
the proportions in age 3 and 4.
Sex Ratio Male % Female %
0 104.8 18.1 18.3
1 105.9 13.9 14.0
2 106.4 23.0 22.9
3 105.3 22.3 22.5
4 107.3 22.6 22.4
0-4 106.0 100.0 100.0
13. Percentages of Population at Older Ages
by sex 2008 Census and Model Stable
Population
2008 Model population
Age
groups
Male Female Male Female
60+ 6.02 4.95 4.05 4.74
70+ 2.81 2.32 1.31 1.68
80+ 0.94 0.79 0.21 .31
14. The relative completeness of the 1993
censuses can be estimated by computing
the expected population in 1993 and
comparing it with the actual results in
2008 census. The result is shown below.
Errors of closures Sudan
Population 2008 39154490
Expected Population 2008 38204960
Errors of closure 949530
Percent of population 2008 2.5
15. Labor Force
Shading errors are detected together with
unfilled in fields in the questionnaire.
These errors contributed to enlarge the
percentage of the unspecified entry, where
the percentage of the unspecified reached
13% in some fields.
The direct effect of these errors can easily be
seen in the low participation rate of the labor
force compared with previous censuses.
(1993 M 75.1, F 42.5)(2008 M 54.8, F 19.8)
16. Region
Indirect method Direct method
Both
sexes
Male Female
Both
sexes
Male Female
Sudan 17.5 17.7 16.8 16.0 13.1 11.0
N. Sudan 16.7 17.2 16.3 14.59 10.6 8.7
17. Conclusion
This section tried to examine the
quality of the 2008 data by using
different analytical techniques .
The 2008 population census yield, as
the past censuses the age distribution
is subject to:
Omission of children 0-1
An exaggeration of the ages of the
older persons 60+
18. Conclusion ..cont.
Preference for particular digits like
0,5.despite the efforts made in the 2008
census, the deficiencies in the age data
persist as shown by Whipple’s index Myers
index and the United Nation joint scores,
Although there has been an improvement in
the quality of data in the 2008 census in
comparison with 1993 census, but still the
quality of age sex data is defected.
Adjustments is applied for the age 0-4 and
the population numbers using demographic
formulas.
19. Recommendations
Needs of more efforts in the
selection and training of the
data collectors in the future.
Completeness of civil and
birth registrations.