Survey Dataset on the Socioeconomic Impact of Public Universities in Bangladesh

This dataset has information from a survey about peoples economic situations. The survey was done by talking to people in person at their homes and workplaces. These homes are near six universities in different parts of the region. The study wants to see how having a university nearby affects the people who live in these homes. It looks at things like how money they make what kind of work they do who lives in the home and how long they have lived there. The study is really about how universities relate to the situations of the households near them including things, like income and occupation and demographic attributes and how long people have lived in the area. We talked to 484 people in person. Wrote down what they said. Later, we put this information into a computer so we could look at it. Each line is one person from a household. We did not use their names to keep them private. The information we collected includes the age of the person, in charge of the family how money the household makes each month in BDT what they do for work how long they have lived there and which university area they are connected to. When we worked with the data, we took out the information that could identify people. We also made sure the income numbers were all in the format. The category that said "Local" was changed to a number, 25 years because that is what we thought it meant when someone has lived somewhere for a time. If there are spaces in the data that means the person did not answer the question or we did not have that information, about them. The university has some information about the area like how many people can read and write in different regions. This information is in a file, and it gives us an idea of what is going on in each area rather than telling us about individual people. The university is looking at things like literacy rates to get a better understanding of the situation. This dataset is intended for academic research, teaching, and exploratory analysis in fields such as socioeconomic studies, regional development, education policy, and data science. Users should consider potential limitations related to self-reported responses, interviewer recording bias, and non-random sampling when interpreting results.本数据集收录自一项针对民众经济状况的调研数据。本次调研采用当面访谈形式，在受访者的家中与工作场所开展。受访家庭均位于该区域内六所高校周边。本研究旨在探究周边高校对当地居民的影响，考察维度涵盖居民收入水平、职业类型、家庭构成及居住时长等内容。本研究核心聚焦于周边高校与附近住户经济状况的关联，具体包括住户收入、职业、人口统计属性，以及居民在该区域的居住时长等维度。 本次调研共完成484人次的当面访谈，完整记录受访者口述内容，并于后续将数据录入计算机以供分析。数据集中每一行对应一位受访住户成员。为保护受访者隐私，未采集其真实姓名信息。本次采集的信息包括受访者年龄、家庭户主、家庭月收入以孟加拉塔卡（BDT）计价、职业类型、居住时长，以及受访者所属的大学周边区域。 在数据预处理阶段，我们移除了所有可识别受访者身份的信息，并统一收入数据的格式规范。原数据中标记为"Local"的分类被转换为数值25，我们认为该分类对应的实际含义为居民已在当地居住25年。数据集中的空白字段代表受访者未作答该问题，或研究团队未获取到对应信息。 本次研究依托的高校还收集了区域层面的相关数据，涵盖不同区域的识字人口占比等信息。此类数据以独立文件形式存储，用于辅助研判区域整体态势而非个体受访者情况。研究团队将结合识字率等指标，以更全面地把握区域发展现状。 本数据集仅可用于社会经济研究、区域发展、教育政策及数据科学等领域的学术研究、教学与探索性分析。使用者在解读结果时，需充分考虑自我报告式回复偏差、访员记录偏差及非随机抽样等潜在局限性。