A new nationwide survey by Global InfoAnalytics has found that while many Members of Parliament (MPs) continue to enjoy strong public confidence in their constituencies, others face significant dissatisfaction from voters, highlighting sharp variations in parliamentary performance across the country.
The survey, conducted between June 4 and June 12, 2026, assessed the performance of MPs in 83 constituencies across Ghana’s 16 regions. It interviewed 7,484 registered voters through face-to-face interviews using the Electoral Commission’s 2024 Electoral Register as the sampling frame.
According to Global InfoAnalytics, MPs’ performance ratings were based on the combined percentage of respondents who rated their representatives as “Excellent” or “Very Good/Good.”
The survey identified Nsawam/Adoagyiri as the highest-performing constituency, where 98 percent of respondents gave their MP a positive rating, including 92 percent who described the MP’s performance as excellent. Only two percent rated the MP’s performance as poor or very poor.
Other constituencies with exceptionally high approval ratings included Tolon (94%), Tain (94%), Navrongo Central (93%), Offinso North (91%), Kpando (88%), Twifo Atti Morkwa (86%), Old Tafo (85%), Buem (80%), Manhyia South (77%), North Tongu (79%), Awutu Senya West (77%), and Krowor (81%).
Several constituencies also recorded strong approval levels above 70 percent, suggesting that many MPs continue to enjoy substantial support from their constituents despite the country’s challenging economic and political environment.
However, the survey also revealed constituencies where voters expressed dissatisfaction with their parliamentary representatives.
Asene/Manso/Akroso recorded the lowest approval rating, with only 8 percent of respondents assessing their MP’s performance positively, while 87 percent rated the performance as poor or very poor.
Other constituencies with relatively low ratings included Takoradi, where only 13 percent gave positive assessments compared with 65 percent who rated the MP poorly, Achiase (16%), Bosomtwe (16%), Yendi (34%), Sawla-Tuna-Kalba (38%), Pusiga (30%), and Obuasi East, where nearly half of respondents (45%) described the MP’s performance as poor.
The findings also showed mixed public opinion in several constituencies.
In Ablekuma Central, for example, 60 percent rated their MP positively while 36 percent expressed dissatisfaction. Similarly, Tema Central recorded 47 percent positive ratings against 38 percent poor ratings, reflecting divided public opinion.
The survey further collected information on respondents’ political affiliations, categorizing them as supporters of the New Patriotic Party (NPP), National Democratic Congress (NDC), floating voters, supporters of other political parties, and respondents who declined to disclose their political preference.
In addition, respondents were asked to assess the job performance of the President. Presidential approval ratings varied widely across constituencies, with some areas recording approval levels above 90 percent while others reported considerably lower ratings. The survey suggests that although there were constituencies where strong MP approval coincided with high presidential approval, voter assessments of MPs did not always mirror opinions about the President.
Global InfoAnalytics cautioned that while the survey has an overall 99 percent confidence level and a margin of error of ±1.5 percent, constituency-specific findings should be interpreted carefully because they were based on smaller samples drawn from selected electoral areas rather than entire constituencies.
The research firm noted that the constituency results are intended to serve as a guide to public opinion rather than definitive measures of the overall performance of individual Members of Parliament.
The survey forms part of Global InfoAnalytics’ ongoing efforts to track public opinion on governance, political leadership and electoral trends ahead of Ghana’s evolving political calendar.
This version follows the inverted pyramid style used by newspapers, is objective and attribution-based, and avoids making conclusions beyond what the survey data supports.
Source: www.kumasimail.com
