Pakistan: Ehsaas Emergency Cash Programme's payment process to commence from next week

Submitted by pmassetti on Tue, 05/12/2020 - 10:35
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thenews.com.pk (05.04..2020) The Ehsaas Emergency Cash Program will help 12 million families by providing them financial assistance of Rs. 12,000 per family and the total budget approved for this initiative is Rs. 144 billion. The Kifalat beneficiaries, who were being given Rs2,000 per month, will be provided an additional Rs1,000.
Deserving families will be given Rs12,000 cash after biometric verification through 18,065 sale points or retail shops of Habib Bank Limited and Bank Al-Falah across the country.
The programme was aimed at providing relief to four million people across the country. People can check whether they are eligible to apply for the programme by sending an SMS. In reply, they will be told how to collect the money if they fulfill the criteria set by the government to determine who can be classified as a deserving person.
The beneficiaries of this programme will be thoroughly scrutinized by making use of mechanisms such as data analytics, wealth profiling, average monthly bills, travelling history etc.

measures summary

The Ehsaas Emergency Cash Program will help 12 million families by providing them financial assistance of Rs. 12,000 per family and the total budget approved for this initiative is Rs. 144 billion. The Kifalat beneficiaries, who were being given Rs2,000 per month, will be provided an additional Rs1,000.
Deserving families will be given Rs12,000 cash after biometric verification through 18,065 sale points or retail shops of Habib Bank Limited and Bank Al-Falah across the country.
The programme was aimed at providing relief to four million people across the country. People can check whether they are eligible to apply for the programme by sending an SMS. In reply, they will be told how to collect the money if they fulfill the criteria set by the government to determine who can be classified as a deserving person.
The beneficiaries of this programme will be thoroughly scrutinized by making use of mechanisms such as data analytics, wealth profiling, average monthly bills, travelling history etc.

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