Obi rallies support for Akpata calls on voters to elect leaders with competence, capacity, consistency, compassion

Date:

Must Read

Hayatu Deen joins ADC presidential race as opposition field grows

Renowned economist and banker Mohammed Hayatu Deen has entered...

El Rufai may miss ADC presidential primaries as court prolongs his bail

A Kaduna State High Court has ordered that former...

2027: APC sets dates sales Presidential form ₦100M, Governorship ₦50M

The All Progressives Congress has officially released its timetable...

ADC denies talks with PRP stay focused on protecting democracy and justice for party leadership

The African Democratic Congress (ADC) has dismissed reports that...

Former Anambra State Governor and 2023 Labour Party presidential candidate, Peter Obi, actively campaigned in Benin City, Edo State, to support the party’s gubernatorial candidate, Barrister Olumide Akpata, and his running mate, Alhaji Yusuf Kadiri.

The campaign, aimed at mobilizing voters for the upcoming Edo State governorship election on September 21, 2024, emphasized the importance of electing capable leaders.

During the rally, Obi highlighted the Labour Party’s vision for a transformative governance model, urging the electorate to choose candidates who exemplify competence, consistency, and compassion.

He stated, “Together, we can build a new Edo State and a Nigeria that is POssible,” reinforcing the need for collective action in the pursuit of progress.

The campaign traversed key areas in Benin City, where Obi encouraged citizens to participate actively in the electoral process, promising that Akpata would address the current challenges facing the state.

The event saw a significant turnout, with supporters braving inclement weather to demonstrate their commitment to the party’s cause

spot_imgspot_imgspot_img

Latest News

logo-nn-news-small
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.