120 trained for post enumeration job

Oct 26, 2014

The ten Post Enumeration Survey (PES) exercise covering a total of 800 enumerations areas across the countrybegins tomorrow Monday.

By Abdulkarim Ssengendo

The ten  Post Enumeration Survey (PES) exercise covering a total of 800 enumerations areas across the country
begins tomorrow Monday.


Over 120 enumerators last week gathered at Meliva Guest House in Mbarara completed training organized by National Population and Housing Census,

The enumerators were drawn from fourteen (14) district of South Western Region. A similar training is going on in other seven regional centres namely Arua, Gulu, Mbale, Mukono, Fort Portal and Masaka.

Andrew Mukulu, the Deputy National Census Coordinator, told a press conference in Mbarara that the Post Enumeration Survey (PES)  said a PES is an independent survey that replicates a census albeit on a much smaller scale and will evaluate the magnitude of the content and coverage errors in the 2014 Population and Housing census data.

He added that, the PES will also provide concrete statistical basis for adjustment of census data and provide the basis for documenting lessons learnt for implementing future censuses.

Steven Baryahirwa, Uganda Bureau of Statistics (UBOS) Principal Statistician, said the results from the PES will enable UBOS to uncover deficiencies in the methodology of the census and make adjustments in the final results and improvements for future censuses among other uses.

In effect, he said this will take care of the population that has been reported having been omitted or double counted.

Meanwhile, Mukulu warned those that will be found sabotaging the exercise will face arrest and prosecution. He explained that if is an obligation of every Ugandan to answer question and give accurate information to enumerators.

He re-emphasized that giving accurate information will help government for proper planning. He said local leaders and other stakeholders will be involved in the exercise.

However, the exercise will not cover institutional population (hotels and motels, hospitals etc).
 

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