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DISCLAIMER: Gallup Pakistan is not related to Gallup Inc. headquartered in Washington D.C. USA. We require that our surveys be credited fully as Gallup Pakistan (not Gallup or Gallup Poll). We disclaim any responsibility for surveys pertaining to Pakistani public opinion except those carried out by Gallup Pakistan, the Pakistani affiliate of Gallup International Association. For details on Gallup International Association see website: www.gallup-international.com

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Friday, June 21, 2013

78% of Pakistanis think it is possible that the new PML-N government could end the electricity shortage in the country. GILANI POLL/GALLUP PAKISTAN


Islamabad, Jun 21, 2013

            According to a Gilani Research Foundation Survey carried out by Gallup Pakistan, 78% of Pakistanis think it is possible that the new PML-N government could end the electricity shortage in the country.

A nationally representative sample of men and women from across the four provinces was asked “In your opinion, what is the possibility of the PML-N government ending the electricity shortage in the country?” In response, 41% answered quite possible, 37% said slightly possible and 17% stated that it was not possible at all. However, 5% chose not to respond. 

A comparison between provinces revealed that Balochistan tops the list in optimism with 73% of its residents stating that it was quite possible the new regime would resolve the electricity crisis as compared to Punjab (49%), Sindh (25%) and KPK (22%).

Question: “In your opinion, what is the possibility of the PML-N government ending the electricity shortage in the country?” 
Comparison across Provinces

Source: Gallup and Gilani Surveys
the Pakistani affiliate of Gallup International Association

The study was released by Gilani foundation and carried out by Gallup Pakistan, the Pakistani affiliate of Gallup International. The recent survey was carried out among a sample of 2650 men and women in rural and urban areas of all four provinces of the country, during May 20, 2013 – May 27, 2013. Error margin is estimated to be approximately ± 2-3 per cent at 95% confidence level.



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