Insights

Security Conditions in Afghanistan After Taliban Takeover

Jul 8, 2022

2,082 women in 17 provinces were polled on their opinions on the security situation in Afghanistan.

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Summary

2,085 women from the provinces of Herat, Nangarhar, Balkh, Helmand, Takhar, Bamiyan, Kandahar, Daikundi, Panjshir, Jawzjan, Farah, Faryab, Badghis, Baghlan, Kunar, and Paktia were polled on their perception of security in their provinces and their own safety.

• 43.76% of survey respondents replied that their province’s security “improved a little” with 18.44% responding it “improved a lot”. 16.52% saw “no difference”, 11.34% responded it “worsened a lot” and 9.94% replied it “worsened a little.”

• Overall, 33% of all respondents identified theft as a threat that had been most reduced in their communities while 29% identified reduced explosions. Interestingly, areas that saw reduced perception of theft as a threat saw increased perception of explosions as a threat and vice versa. This mitigated shift of threat perception is shown in the mirror image statistics that 30% of respondents overall perceive theft as a “least improved” threat with explosions being the second most important threat at 22%.

• 36% of women reported feeling a degree of unsafety when going out into public spaces.

• The majority of focus group participants often contradicted the narratives of the statistics provided by the survey results. While a small minority agreed with the statistics that security was improving somewhat, most said the statistics hid grimmer realities and an atmosphere of uncertainty and fear.

Data Explorer

Welcome to our Survey Data Explorer. Using Microsoft Power BI you can see the results of this month’s survey, and use the interactive controls to explore the data in more detail.

Page Controls: Navigate through different pages of the dashboard by clicking on the page numbers or using the arrows to move forward or backward.

Full Screen: Click the arrows icon button located at the bottom right corner of the visualization.

Filters: Use the drop-down menus to filter the data based on specific criteria such as province, age group, or profession.

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