In 2023, the residents of Balochistan once again took to the streets for justice and legal rights, staging protests across roads for the redressal of urban grievances and the attainment of fundamental rights in various regions of Balochistan, including cities in Pakistan and abroad, as recorded by the data presented in the infographics by Balochistan Post.
According to the data compiled by The Balochistan Post’s Data Visual Studio, a total of 813 protest demonstrations were recorded throughout Balochistan in the year 2023. These protests included 77 demonstrations held in various regions outside Pakistan, in addition to 49 major cities within Balochistan, while Baloch communities abroad organized 19 protests.
Quetta saw the highest number of protests, with 554 demonstrations taking place overall, while the majority of protests, totaling 418, were recorded against enforced disappearances.
Similarly, Turbat, with 70 protest demonstrations, ranked second, followed by Chaman with 61, and Khuzdar with 50 protests. In other cities of Balochistan in 2023, protests were also held, including 28 in Hub, 23 in Gwadar, and a total of 27 protests recorded in other regions.
According to the TBP Data Visual Studio’s report, the reasons behind the protests in Balochistan and abroad included 418 demonstrations against enforced disappearances, 50 against extrajudicial killings (forced disappearances resulting in deaths), 109 related to government employees’ issues, 67 for border trade concerns, 37 for educational facilities, 57 against water scarcity, 91 for electricity load shedding, and 61 for the provision of basic amenities.
In terms of the percentage distribution of protest causes, 56.22% were related to human rights violations, 18.20% for economic and corruption issues, 6.42% for students’ rights, and 28.19% against political and fundamental rights’ violations.
The protests in Balochistan during 2023 highlighted a significant form of expression and activism. However, it is essential to acknowledge the limitations of the presented data with cautious interpretation.