Ans: The data provided details wheat production and yield in the top ten wheat-producing states of India for the year 2011-12. Uttar Pradesh stands out as the highest wheat-producing state with a significant margin at over 30 million tonnes, which could be attributed to extensive cultivation areas and possibly favorable agricultural practices. Punjab follows, with over 17 million tonnes, and boasts the highest yield per hectare at 4.90 tonnes, reflecting highly efficient farming methods.
Haryana and Madhya Pradesh also contribute sizable quantities, with Haryana showing a high yield close to Punjab's, which may indicate similar effective farming techniques. The yields in Madhya Pradesh, Rajasthan, and Bihar, while contributing large production figures, show yields below the national average of 2.26 tonnes per hectare, suggesting there may be room for improvement in wheat farming efficiency in these states.
Gujarat and Maharashtra present moderate figures in both production and yield. Uttarakhand and West Bengal, despite being among the top ten, have the lowest production numbers, which could be due to smaller areas under wheat cultivation or other local factors.
The overall data reflect a disparity in wheat production and yield across the states, indicating that while some regions like Punjab and Haryana are maximizing their output per hectare, others have the potential to increase their yield through improved agricultural practices. The national average yield of 2.26 tonnes per hectare presents an opportunity for several states to enhance their wheat production efficiency.
Ans: The bar graph delineates the eating habits of urban and rural populations in Maharashtra, focusing on the consumption of fast food once a week. A striking feature is the higher percentage of urban dwellers indulging in every category of fast food compared to their rural counterparts, indicating urban areas may have greater access to or preference for such foods.
Local fast food is the most commonly consumed in urban areas at 33%, followed closely by pizza/burger at 27.6% and chips/namkeen at 27.5%. In contrast, rural areas show a more modest consumption rate, with the highest being local fast food at 11.7% and pizza/burger at a significantly lower 7.2%. This urban-rural divide is consistent across all food categories, including aerated soda, sweetened drinks, and cakes/pastries, all more prevalent in urban settings.
Notably, the consumption of French fries and other salty snacks is relatively low in both demographics, which may reflect cultural preferences or availability. Overall, the data suggests a pronounced preference for fast food in urban areas, with the possibility of health implications due to such dietary choices. Rural areas, while also partaking in fast food, do so at much lower rates, which might be influenced by traditional eating habits, availability, or economic factors.
B. The pie-chart below shows some data on the various uses of harvested rainwater to fulfil non-potable water needs of a metropolitan city. Analyse the data and summarise it in the form of a paragraph.
Rainwater harvesting holds a lot of promise in solving the water-woes of metropolitan cities. The piechart shows how a particular household in a metropolitan city makes use of the rainwater it harvests. As is clear from the pie-chart, a little over one third (36%) of all the harvested rainwater is consumed in washing clothes, while a little over one-fourth is used in bathing. As much as of the water thus collected is utilized in such activities as gardening (13%); car washing (6%) and mopping floors (3%), whereas flushing accounts for as much as of the total rainwater harvested by the household. Thus, it can be concluded that, if rainwater is harvested and used properly, it can meet a range of nonpotable water requirements of the population in cities. It can also help save huge amounts of fresh drinking water that can be used exclusively for cooking and drinking.
Ans: The pie chart provides insight into the allocation of harvested rainwater for various non-potable water needs in a metropolitan household. It reveals that the largest portion of harvested rainwater, 36%, is used for washing clothes, highlighting the significant water requirement for this daily chore. Bathing follows, consuming 26% of the collected rainwater, demonstrating its substantial role in personal hygiene routines.
Gardening, which often requires regular watering, utilizes 13% of the rainwater, indicating that even activities with comparatively lower frequency still consume a notable share of the water budget. Meanwhile, car washing and mopping floors represent smaller fractions, at 6% and 3% respectively, reflecting their less frequent need for water or lower water usage.
Flushing constitutes 16% of the rainwater usage, a critical function in household sanitation, underscoring that a significant amount of non-drinking water can be sourced sustainably. The data underscore the effectiveness of rainwater harvesting in a metropolitan setting, showing that it can significantly fulfill diverse domestic water needs. This strategy could be instrumental in conserving potable water, reserving high-quality water primarily for consumption and cooking, thereby addressing some of the water scarcity issues faced by urban areas.
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