Administrative Records

1
Administrative Records

• Workshop on
• Review of the Implementation of the
• Reference Regional Strategy Framework for
• Statistical Capacity Building in Africa
• Kigali, Rwanda, 18th 21st October 2011
• By Said Aboud
• National Bureau of Statistics
• Tanzania

2
Presentation

• Why do we collect
• Types of data collected
• Methods of collection
• Data consistency
• Advantages of improving Administrative data
  collection
• Challenges
• Recommendations

3
Why do we collect

• Reduce cost when we compare with surveys
• Can be obtained monthly, quarterly, semi-annual
  and annually
• Reduce the burden of overloading questionnaires
  for the Surveys and Censuses
• Easy to collect
• Can be obtained at the smallest level of
  Administration

4
Types of data collected

• Health Statistics
• Education Statistics
• Agriculture Statistics
• Vital Statistics
• Hotel Statistics
• International Migration Statistics
• Tourism Statistics
• Construction Statistics etc

5
Methods of collection

• Most of the data are the day to day activities.
• Responsible officers at the administrative areas
  compile them and forward to the higher
  administrative area. This goes on until a
  national data is obtained

6
Data consistency

• Lack of Statistics knowledge at lowest level of
  administration result in data collected to be
  inconsistent.
• i.e They are problems of estimations like
  estimates of agriculture production or area under
  cultivation etc.
• Poor record keeping result in under estimation

7
Advantages of improving Administrative data
collection

• Improved administrative data result in good data
  for planning from the lowest level of
  Administration to the highest
• Countries like Seychelles where they have 100
  vital registration do not include demographic
  data in surveys and censuses
• More accurate information on Morbidity are
  obtained etc
• Does not cost much to collect

8
Challenges

• Lack of capacity at the lowest level of
  administration. This includes equipment and
  training.
• Harmonisation of the data collected is a problem.
  Many users tend to collect the same thing with
  different approaches and definitions.
• Lack of enough Resources for capacity building
• Unwillingness of some institutions to release
  data for the excuse of confidentiality

9
Recommendations

• Countries should speed up the implementation of
  NSDS
• The government should allocate enough funds for
  capacity building
• Statistics Offices should set definitions to be
  followed by all data collectors. Some countries
  have done.
• To review the existing laws

10
Thank You