1. CHALLENGES IN PRODUCING DISAGGREGATED DATA

2. Sample size
For surveys a small sample size is used which makes disaggregation a challenge.
Cost
Accurate Survey data disaggregation by geographic location is obtained at higher cost for the survey.
Timely release of data
e.g Botswana Multi Topic Household Survey (BMTHS) 2015 and part of it (employment section) released in The result therefore did not depict the current employment situation.

3. Challenges in producing Disaggregated Data
Race/ ethnicity
We do not disaggregate by race but there is no law forbidding us to do so, it is just a long standing accepted practice of not collecting data on ethnicity.
Central database
The lack of a centralised database makes it difficult to access data from other sources. There is waste of time running around collecting the data.

4. Challenges in producing Disaggregated Data
Income
Income data is collected through surveys and respondents are usually reluctant to disclose income which leads a need to cross-reference questions in the questionnaire to arrive at more accurate income bracket for the respondent.
Use of unskilled manpower
Use of unskilled personnel during surveys deputizes the quality of the data.

5. Challenges in producing Disaggregated Data
Un-harmonized districts
Different data sources use different Districts. For instance; there are 28 census districts, 26 administrative districts and other departments use their own number of districts which makes harmonizing data almost impossible.

6. KE A LEBOGA
THANK YOU