Evaluation And Evaluation And Adjustment Of The 2008 Adjustment Of The 2008 Census Age & Sex DataCensus Age & Sex Data

IntroductionIntroduction

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.

ObjectivesObjectives 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.

MethodologyMethodology 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.

Methodology ..Methodology ..cont.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.

Sex Ratio

Overall Survival Ratios (OSR) by Region and Sex Sudan 1993-2008

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.

Myers Index for Males and Females, 2008

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

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

Percentages of Population at Older Ages by sex 2008 Census and Model Stable Population

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.

Labor ForceLabor ForceShading 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)

ConclusionConclusionThis 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+

Conclusion ..coConclusion ..cont.nt.

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.

RecommendatiRecommendationsons

Needs of more efforts in the selection and training of the data collectors in the future.

Completeness of civil and birth registrations.