KPU International Journal of Engineering & Technology Volume 3, Issue1, Sep. 2023 e-ISSN:2790-0819, p-ISSN:2790-0800 1 Date Received: 2023-04-15 Date Accepted: 2023-06-04 Date Published: 2023-09-15 Construction Productivity Analysis, Using Work Sampling Technique, a Case Study in Afghanistan ABADURAHMAN NASER 1* , INAMULLAH INAM 2 , MOHAMMAD KHALID NASIRY 3 1* Teaching Assistant, Department of Civil Engineering, Engineering Faculty, Laghman University, Sultan Ghazi Baba Town, Mehtarlam, Afghanistan. Email: abadmehraban@gmail.com 2 Teaching Assistant, Department of Civil Engineering, Engineering Faculty, Laghman University, Sultan Ghazi Baba Town, Mehtarlam, Afghanistan. Email: inam.azizi@gmail.com 3 Teaching Assistant, Department of Civil Engineering, Engineering Faculty, Laghman University, Sultan Ghazi Baba Town, Mehtarlam, Afghanistan. Email: nasiryk1366@gmail.com Abstract In the construction industry, productivity is one of the most important key performance indicators and fundamental to project success. Productivity isn't everything, but it is pretty much everything in the long run. Improving construction productivity is therefore one of the priorities of the construction industry in many countries around the world. Productivity cannot be managed or improved without being measured, so it must first be measured and analyzed, and then productivity weaknesses identified and corrected. This paper aims to measure labor productivity in the construction industry and assess the percentage distribution of productive, semi-productive, and non-productive activities by observing construction work. The work sampling method was used to find out how labors spend their time during an eight-hours working day, and to identify percentage of the productive, semi-productive and nonproductive tasks on a working day. The required number of the observations was calculated, the procedure for making observations was determined, and data were collected through observations made on a construction project as a case study. based on this study, it is found that generally about 32.02% of laborers’ working time is spent on productive (direct) work, 36.70% on semi-productive (supportive) work, and 31.28% was spent on nonproductive (delayed) work. Keywords: Construction Productivity, Work Sampling, Productivity Analysis * Corresponding Author