Use of survey data in National Accounts An Integrated approach By UBOS

Outline Use of Survey data in National Accts Challenges

Producer Price Surveys Responsibility: UBOS- Business stat. section Periodicity : Quarterly Coverage: Restricted to businesses in the manufacturing sector Base year for indices: Jul-Sep 2004=100 Use: Provides indices for reflating output of manufacturing activities to current prices

Surveys Construction Surveys Responsibility: UBOS- Business stat. section Periodicity : Quarterly Coverage: more than 100 producers and 17 products Base year for indices: Jan-Mar 2006=100 Use: provides indices for deflating disbursements to construction activities.

Consumer Price Surveys Responsibility: UBOS- Price section Periodicity : Monthly Coverage: Restricted to 8 urban centers Base year for indices: 2005/06=100 Use: obtain indices for reflating output for Hotels & Restaurants, Transport, Electricity, Water etc, to current prices

Uganda Business Inquiry Surveys Uganda Business Inquiry Previously was carried out every 5-years. Most recent survey was carried out in 2009/10 Annual surveys are yet to start Use: Obtain Output and Intermediate Consumption of formal and informal businesses. These were a source of benchmark data for the SUT 9/10

Other data Uganda National Household Surveys source of data for private hh expenditure Uganda Census of Agriculture 2008 source of data for GO, VA for agric sector using WIP Uganda Livestock Census 2008 source of data for GO, VA for agric sector using WIP These sources provided mainly benchmark data in the SUT 2009/10

Challenges Some surveys not carried out frequently Poor coordination makes it very difficult to ensure that methodological issues and changes in methods of data collection are dealt with in a coherent way in all statistical outputs. Limited influence of the national accounts compilers over the design of surveys.

Challenges Persistent Inconsistencies in the statistics delivered by the different surveys even within the same agency Persistent Inconsistencies in statistics for the same indicator across different agencies

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