Page 148 - Contributed Paper Session (CPS) - Volume 7

CPS2049 Mohammed Al Rifai et al.
• Building data sets (about individuals, households and
establishments), consistent with each other, for trends analysis over
periods of time, and to meet the confidentiality standards of raw data
protection.
• Utilize the potential of all existing administrative data sources, with
an emphasis on reducing the data collection burden on respondents.
In order to meet this increasing demand for official statistical data, official
national statistical agencies have focused on:
• Building national statistical strategies and systems.
• Building partnerships with other national institutions in order to
achieve integration in the statistical work at the national level.
Traditionally, statistical institutions have developed censuses and sample
survey methodologies in order to build the required statistical databases that
could keep pace with the needs of users. However, official statistical agencies
face major challenges in maintaining these sources of statistical data, for
example:
• The relatively high financial cost of implementing censuses and
sample surveys.
• Providing the data collected through census and sample surveys to
meet users’ needs in a timely manner.
• Reducing the burden on the various types of respondents, and
maintaining response rates, which affect the accuracy and efficiency
of statistical data.

2. Methodology
As a way of effectively utilizing the available resources and, at the same
time, relieving the response burden for the various groups of residents and
businesses who provide data for official statistics, agencies are making more
use of administrative data collected by other official national agencies.
Censuses and sample surveys will be used mostly by those countries, where
administrative data is unavailable or is unreliable.
For administrative data to be useful for official statistics, it must be
collected so that it can provide statistical indicators with the following
characteristics:
 Outputs at the level of administrative regions and small geographic
areas.
 Outputs at the level of particular population units, such as individuals,
families, and business establishments.
 Better coverage than a sample survey to reduce the sample error
rates caused by survey non-response.
 Production costs that is lower in time and budget than the costs of
censuses and sample surveys.
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