It has been proofed that food wastage can be recognized at all level of food life cycle i.e. harvesting, manufacturing, distributing however, the largest contribution to food waste is the consumption stage by household. According to Parfitt et al, 2010; WRI, 2013 "household food waste" is define as the total losses that occur at the end of food lifecycle, which is final consumption, we consider the issue of waste of food as a deeply rooted issue of consumption behaviors, (Den 2008; Bowman 2007; Dogs 2002), and many commentators argue that domestic food waste is strongly influenced by consumer behaviors (Wharton, 2014). In the Arab countries, especially in the Gulf countries, high levels of food waste of recorded due to the social customs and traditions that control consumption patterns. Research efforts on the waste of food in the State of Qatar is very few and does not cover all Food waste, production and consumption chain, which start from production through delivery, storage, packaging, selling, and consumption. Through computer assisted telephone interview (CATI) with 1684 respondents This study covered the stage after purchase and consumption, aimed to understand the attitudes and behavior of individuals in Qatar towards food waste , and to identify types of food are often wasted and estimated the amount of waste as well. Survey respondents provided reason of food waste and Results indicate that people have an awareness regard food waste Furthermore; the study found out having more children was associated with reduced food waste perception and high-income households were strongly associated with increase in perception of food wastage as the income increases. Moreover, family give the persons a sense of responsibility towards food waste.

The Social and Economic Survey Research Institute (SESRI) at Qatar University is implementing the agricultural census in Qatar (2021), which is funded by the Ministry of Municipality and Environment. Agricultural census is a statistical process based on collecting, processing, and disseminating data on the structure of agriculture, which often covers the whole country or a large part of it. It usually involves collecting agricultural data such as the size of properties, land usage, cropping areas, irrigation, number of farm animals, resources, and manpower. Censuses are conducted regularly every ten years to provide more recent data for agricultural policy purposes. The data provided by the census is important for food security policies and Qatar National Vision 2030, which aims at the development and expansion of the agricultural sector. This requires the introduction of “finest practices” and an agricultural business model focused on economic efficiency, profitable and sustainable agriculture, optimal use of scarce resources, and a minimal impact on the environment. The objectives of the project are summarized as follows: • Provide sample frame for agricultural surveys. • Provide data of agriculture structure in the State of Qatar, which include properties, resources, production, and cost. • Provide up-to-date data for crops, vegetables, livestock, and used areas.

Survey research using nationally representative samples is growing substantially in the rapidly developing countries of the Gulf Cooperation Council (GCC). However, in such countries the population and their demographic makeup change at some of the fastest rates in the world. In Qatar for instance, government censuses tend to be undertaken every five to six years, while the population and its demographic composition change very quickly (Alrouh, Ismail & Cheema, 2013). In 2004, the population of Qatar was just 798,000 and Qataris represented 24% of the country’s residents. The 2010 census measured the population at 1,699,000, only 17% of which were Qataris.In such countries therefore, sampling frames based on censuses may quickly become outdated as demographic compositions change considerably over short time periods, more so than in other countries. These contexts present a challenge for survey research, as the target population may differ significantly from the sampling frame shortly after it is constructed. Outdated frames may lead to coverage and content errors that not only affect the estimates produced by a survey but also operational processes associated with data collection. Frame error can negatively impact time spent in the field and survey costs. Periodic evaluation of the quality of a sampling frame used between censuses is required for estimating coverage bias and informing researchers about the quality of the frame data. Adjustments in field operations can then be made to improve the effectiveness and efficiency of data collection.This paper describes the Post-Frame update Survey method conducted by the Social and Economic Survey Research Institute (SESRI) at Qatar University. It aims to assess the accuracy and coverage of its housing units sampling frame and improve field operations. This method of evaluating sampling frames could be applicable to other research organizations that survey rapidly changing populations.