Enrolment into the National Identity Management Commission (NIMC‘s) National Data Base (NDB) for the National Identity Number (NIN) moved from 101,013,279 million in June to over 101.647,882 million last month, according to NIMC figures yesterday.
The figures have continued to be on the rise. It was 100,021,186 in May.
As usual, the highest cumulative enrolment of over 11 million was recorded in Lagos State while regional figures indicated an almost equal distribution across the North and South.
According to the agency, the top 10 states for NIN enrolment include Lagos with 11,072,553 followed by Kano with 9,014,454. Kaduna followed with 6,322,422; Ogun-4,275,642; Oyo-3,939,656; and Katsina-3,489,915. The Federal Capital Territory (FCT) Abuja posted 3,446,038; Rivers-3,047,043; Bauchi-2,721,634 while Delta posted 2,679,545.
NIMC identified the bottom 10 states for NIN enrolment during the period under review to include Akwa-Ibom-1,724,916; Imo-1,719,366; Kogi-1,704,748; Enugu-1,633,335; Yobe-1,601,989; Taraba-1,469,578; Cross-River-1,160,724; Ekiti-1,009,802; Ebonyi-810,642; and Bayelsa-638,660.
On gender distribution, males had 57,726,896 enrolments accounting for 56.79 per cent while females had 43,920,986 enrolments accounting for 43.21 per cent of the total enrolment into the NDB.
NIMC said it has decentralized enrolment with about 5,500 active enrollment centres for NIN across the country.
Its Director-General, Aliyu Aziz, said the commission also had over 15,000 registration devices nationwide.
The NIMC DG said the data available showed that more males had been covered than females.
“Analysis of the National ID database has shown that there is a low coverage and gender gap in Nigeria ID project considering the notion that there are more women than men. With over 101 million registered persons to date, only 44 per cent are females.
“This shows that more males have been registered than females. From the gender deep dive studies conducted by NIMC in collaboration with the World Bank, some of the barriers to accessing identity were categorised into lack of awareness, none value/use of ID, accessibility issues, time is taken to register, lack of documentation, biometric capture issues among others”, he said.
