Delhi was the largest city in terms of number of inhabitants in India in 2023.The capital city was estimated to house nearly 33 million people, with Mumbai ranking second that year. India's population estimate was 1.4 billion, ahead of China that same year.
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Urban population (% of total population) in India was reported at 36.87 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.
In 2023, approximately a third of the total population in India lived in cities. The trend shows an increase of urbanization by more than 4 percent in the last decade, meaning people have moved away from rural areas to find work and make a living in the cities. Leaving the fieldOver the last decade, urbanization in India has increased by almost 4 percent, as more and more people leave the agricultural sector to find work in services. Agriculture plays a significant role in the Indian economy and it employs almost half of India’s workforce today, however, its contribution to India’s GDP has been decreasing while the services sector gained in importance. No rural exodus in sightWhile urbanization is increasing as more jobs in telecommunications and IT are created and the private sector gains in importance, India is not facing a shortage of agricultural workers or a mass exodus to the cities yet. India is a very densely populated country with vast areas of arable land – over 155 million hectares of land was cultivated land in India as of 2015, for example, and textiles, especially cotton, are still one of the major exports. So while a shift of the workforce focus is obviously taking place, India is not struggling to fulfill trade demands yet.
In 2024, approximately 67 percent of the total population in China lived in cities. The urbanization rate has increased steadily in China over the last decades. Degree of urbanization in China Urbanization is generally defined as a process of people migrating from rural to urban areas, during which towns and cities are formed and increase in size. Even though urbanization is not exclusively a modern phenomenon, industrialization and modernization did accelerate its progress. As shown in the statistic at hand, the degree of urbanization of China, the world's second-largest economy, rose from 36 percent in 2000 to around 51 percent in 2011. That year, the urban population surpassed the number of rural residents for the first time in the country's history.The urbanization rate varies greatly in different parts of China. While urbanization is lesser advanced in western or central China, in most coastal regions in eastern China more than two-thirds of the population lives already in cities. Among the ten largest Chinese cities in 2021, six were located in coastal regions in East and South China. Urbanization in international comparison Brazil and Russia, two other BRIC countries, display a much higher degree of urbanization than China. On the other hand, in India, the country with the worlds’ largest population, a mere 36.3 percent of the population lived in urban regions as of 2023. Similar to other parts of the world, the progress of urbanization in China is closely linked to modernization. From 2000 to 2024, the contribution of agriculture to the gross domestic product in China shrank from 14.7 percent to 6.8 percent. Even more evident was the decrease of workforce in agriculture.
Nigeria has the largest population in Africa. As of 2025, the country counted over 237.5 million individuals, whereas Ethiopia, which ranked second, has around 135.5 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 118.4 million people. In terms of inhabitants per square kilometer, Nigeria only ranked seventh, while Mauritius had the highest population density on the whole African continent in 2023. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Chad, South Sudan, Somalia, and the Central African Republic, the population increase peaks at over 3.4 percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. African cities are also growing at large rates. Indeed, the continent has three megacities and is expected to add four more by 2050. Furthermore, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria, by 2035.
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The global market size for Smart City & Connected City Solutions is poised to grow from $520 billion in 2023 to an impressive $1.2 trillion by 2032, exhibiting a robust CAGR of 9.5% over the forecast period. This substantial growth is driven by advancements in IoT technology, increased urbanization, and the rising demand for energy-efficient systems and infrastructure.
One of the primary growth factors for this market is the rapid urbanization across the globe. More than half of the world’s population now resides in urban areas, and this figure is expected to rise exponentially over the coming decades. As cities grow, the strain on infrastructure, energy resources, and governance systems increases, creating a necessity for smarter and more efficient solutions. The integration of IoT and AI technologies into urban planning and management is enabling cities to meet these demands by optimizing resource use, reducing waste, and improving the quality of life for residents.
Another significant driver is the rising governmental and private sector investment in smart city initiatives. Governments worldwide are recognizing the benefits of smart city solutions in terms of energy conservation, better traffic management, enhanced security, and improved public services. For example, the European Union has committed substantial funding for smart city projects under its Horizon 2020 initiative, focusing on sustainability and technological innovation. Similarly, various countries in Asia-Pacific, North America, and the Middle East are launching extensive smart city programs, backed by both public and private investments.
The proliferation of advanced technologies such as 5G, blockchain, and AI is also playing a crucial role in the market's growth. 5G technology, in particular, is set to revolutionize smart city infrastructure by providing faster, more reliable connectivity. This will enable the high-speed data transfer required for real-time applications in smart governance, smart healthcare, and smart mobility. Additionally, blockchain technology offers enhanced security and transparency for various smart city applications, including energy grids, public services, and transportation systems.
The regional outlook for the Smart City & Connected City Solutions market is highly promising, with Asia-Pacific and North America leading the charge. Asia-Pacific is expected to witness the highest growth rate due to the rapid urbanization in countries like China and India and substantial government initiatives focused on building smart cities. North America, with its advanced technological infrastructure and significant investments in smart city projects, is also poised for considerable growth.
The Smart City & Connected City Solutions market can be segmented by components into hardware, software, and services. Each of these components plays a critical role in the development and implementation of smart city solutions. The hardware segment includes sensors, cameras, smart meters, and other connected devices that form the backbone of smart city infrastructure. These devices collect vast amounts of data, which is crucial for monitoring and managing various urban functions. The increasing adoption of IoT devices is driving the growth of this segment, as cities aim to become more efficient and responsive.
Software solutions are essential for analyzing the data collected by hardware components and transforming it into actionable insights. This segment covers a wide range of applications, including data analytics platforms, urban planning software, and smart governance solutions. The demand for such software is growing as cities seek to harness the power of big data and AI to improve decision-making processes. Cloud-based software solutions have become particularly popular due to their scalability, flexibility, and cost-effectiveness, contributing to the overall growth of the software segment.
Services are another vital component of the Smart City & Connected City Solutions market. These services include consulting, system integration, and maintenance services, which are crucial for the successful implementation and ongoing operation of smart city projects. The complexity of integrating various hardware and software components into a cohesive system necessitates specialized expertise. As a result, there is a growing market for service providers who can offer end-to-end solutions, from initial planning and design to implementation and continuous support.<
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The global smart city market size was estimated at $500 billion in 2023 and is projected to reach $3 trillion by 2032, growing at a compound annual growth rate (CAGR) of 23%. This remarkable growth is driven by rapid urbanization, technological advancements, and increasing government initiatives aimed at sustainable development. The convergence of IoT, AI, and data analytics is playing a pivotal role in transforming urban landscapes into interconnected, efficient ecosystems.
One of the primary growth factors of the smart city market is the accelerated pace of urbanization. With more than half of the world’s population now residing in urban areas, cities face increasing pressure to improve infrastructure and services. Smart city technologies offer solutions for efficient resource management, enhanced public safety, and improved quality of life. The need for effective urban planning and sustainable development is pushing governments to adopt smart city initiatives at an unprecedented rate.
Advancements in technology, particularly in IoT, AI, and big data, are significantly contributing to the smart city market's expansion. IoT sensors and devices facilitate real-time data collection, enabling cities to monitor and manage resources such as water, electricity, and waste more efficiently. AI and data analytics are used to interpret this data, providing actionable insights that help in optimizing urban operations, reducing costs, and enhancing citizen services. The integration of these technologies is creating a symbiotic relationship between the digital and physical worlds, driving the evolution of smart cities.
Government support and initiatives are also major catalysts for the growth of the smart city market. Various governments around the world are investing heavily in smart city projects to address urban challenges such as traffic congestion, pollution, and energy consumption. For instance, the European Union has earmarked substantial funding for smart city projects under its Horizon 2020 program. Similarly, countries like China and India have launched extensive smart city missions aimed at transforming urban areas into technologically advanced, sustainable habitats.
Regionally, North America and Europe are leading the smart city market, owing to their advanced technological infrastructure and significant government investments. However, Asia Pacific is expected to exhibit the highest growth rate during the forecast period. Rapid urbanization, coupled with increasing government initiatives in countries like China, India, and Japan, is driving the smart city market in this region. Latin America and the Middle East & Africa are also showing promising growth, supported by improving economic conditions and increasing focus on sustainable development.
The smart city market is segmented into three primary components: hardware, software, and services. Each of these components plays a crucial role in enabling and enhancing the various functionalities of a smart city. Hardware components include sensors, smart meters, and communication devices, among others. These devices are essential for collecting real-time data from various urban environments, which is then used to monitor and manage city operations.
Software solutions are integral to the smart city market as they provide the platforms and applications needed to analyze and interpret the data collected by hardware devices. These software solutions enable various functions such as traffic management, energy management, and public safety. They also offer predictive analytics capabilities, which help city administrators anticipate and mitigate potential issues before they escalate. The increasing complexity and volume of data generated by smart cities necessitate robust software solutions to manage and analyze this data effectively.
Services are another critical component of the smart city market. These include consulting services, system integration, and managed services, which are essential for the successful implementation and operation of smart city projects. Consulting services help cities identify their specific needs and design customized smart city solutions. System integration services ensure that various hardware and software components work seamlessly together, while managed services provide ongoing support and maintenance to ensure the smooth functioning of smart city systems.
The hardware segment is expected to account for a significant share of the smart city market, driv
The US Census Bureau defines Asian as "A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. This includes people who reported detailed Asian responses such as: Indian, Bangladeshi, Bhutanese, Burmese, Cambodian, Chinese, Filipino, Hmong, Indonesian, Japanese, Korean, Laotian, Malaysian, Nepalese, Pakistani, Sri Lankan, Taiwanese, Thai, Vietnamese, Other Asian specified, Other Asian not specified.". 2020 Census block groups for the Wichita / Sedgwick County area, clipped to the county line. Features were extracted from the 2020 State of Kansas Census Block Group shapefile provided by the State of Kansas GIS Data Access and Support Center (https://www.kansasgis.org/index.cfm).Change in Population and Housing for the Sedgwick County area from 2010 - 2020 based upon US Census. Census Blocks from 2010 were spatially joined to Census Block Groups from 2020 to compare the population and housing figures. This is not a product of the US Census Bureau and is only available through City of Wichita GIS. Please refer to Census Block Groups for 2010 and 2020 for verification of all data Standard block groups are clusters of blocks within the same census tract that have the same first digit of their 4-character census block number. For example, blocks 3001, 3002, 3003… 3999 in census tract 1210.02 belong to Block Group 3. Due to boundary and feature changes that occur throughout the decade, current block groups do not always maintain these same block number to block group relationships. For example, block 3001 might move due to a change in the census tract boundary. Even if the block is no longer in block group 3, the block number (3001) will not change. However, the identification string (GEOID20) for that block, identifying block group 3, would remain the same in the attribute information in the TIGER/Line Shapefiles because block identification strings are always built using the decennial geographic codes.Block groups delineated for the 2020 Census generally contain between 600 and 3,000 people. Local participants delineated most block groups as part of the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated block groups only where a local or tribal government declined to participate or where the Census Bureau could not identify a potential local participant.A block group usually covers a contiguous area. Each census tract contains at least one block group and block groups are uniquely numbered within census tract. Within the standard census geographic hierarchy, block groups never cross county or census tract boundaries, but may cross the boundaries of county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian, Alaska Native, and Native Hawaiian areas.Block groups have a valid range of 0 through 9. Block groups beginning with a zero generally are in coastal and Great Lakes water and territorial seas. Rather than extending a census tract boundary into the Great Lakes or out to the 3-mile territorial sea limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore.
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The smart city market is projected to reach $2.37 billion by 2033, exhibiting a CAGR of 18.30% during the forecast period. The market growth is primarily driven by the increasing adoption of smart technologies, rising urbanization, and government initiatives to improve urban infrastructure. Smart cities aim to optimize resource management, enhance public safety, and improve the overall quality of life for citizens. Governments and municipalities are investing heavily in smart infrastructure, including smart grids, intelligent transportation systems, and smart buildings. Key trends shaping the smart city market include the growing adoption of IoT devices, cloud computing, and big data analytics. These technologies enable the collection, analysis, and utilization of vast amounts of data generated by smart city infrastructure. This data can be used to optimize traffic flow, reduce energy consumption, and improve public safety. Furthermore, the proliferation of smartphones and mobile applications has led to the development of citizen-centric smart city services, such as real-time traffic updates, parking information, and waste management alerts. The market is also witnessing a shift towards integrated smart solutions that combine multiple technologies to address specific urban challenges. Recent developments include: March 2024: Connected Urban is an innovative design to improve our streets’ connectivity, given the need for densification in 4G networks following the 5G rollout. It enables both macro cells and small cells to be within one compact footprint, thereby accommodating multi-faceted services such as antennas, CCTV systems, or even public address systems, including smart lighting, among others. This range is composed of sleek modular scalable smart poles that do more than just meet modern cities’ connectivity requirements since they are designed to support multiple services at once., February 2024: NEC Corp India announced the launch of new smart city tech products for “organizations and authorities to manage operations efficiently”. The solutions include NEC Mi-Command (integrated command and control center), NEC Mi-City (citizen engagement portal), NEC Mi-Eye (intelligent video analytics), and NEC Mi-WareSync (warehouse management system). These solutions will ensure seamless operations among organizations and authorities by providing transparency and visibility for efficient management and decision-making, as well as offering enhanced experiences for citizens, businesses, communities, etc., according to a statement released by NEC Corp India., February 2024: BT launched its new NB-IoT network, which is set to cover 97%* of the UK population, thus paving the way for more smart cities and industries. The network is supported by an award-winning EE mobile network. With low-power wide-area technology, NB-IoT BT now provides an opportunity for utility construction in the public sector, among other fields where devices can be securely connected to automate processes still done manually or requiring direct involvement at the present moment; this will not only realize long battery life, but it can also save money because efficiency may increase significantly, especially when leaks are detected automatically from water infrastructure., March 2023: AT&T has chosen Fortress Solutions as a partner to provide facilities management services for fiber optics, edge data centers, and 5G infrastructure as part of its ambition to build "the US' first 5G Smart City Market at scale" in Washington, DC., October 2022: Honeywell and Accelerator for America unveiled the Honeywell Smart City Market Accelerator Program, which assists communities in strategically planning their futures and building capacity to support transformational initiatives. Honeywell is working with five cities including Kansas City, Louisville, San Diego, Cleveland, and Waterloo, among others in the United States to give in-kind assistance in order to speed the development of their Smart City Market strategy planning., July 2021: Microsoft had planned to buy AT&T's network cloud technologies and intellectual property. In exchange, AT&T will relocate its 5G mobile network to Azure. The companies will begin with AT&T's 5G core and work their way up. The collaboration expands on an existing USD 2 billion agreement in which AT&T relocated its back-end office to Microsoft Azure.. Notable trends are: Development of IoT Technologies & Devices to Foster Growth of Smart City Market Concepts.
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Chart and table of population level and growth rate for the Chandigarh, India metro area from 1950 to 2025.
In 2025, the degree of urbanization worldwide was at 58 percent. North America, Latin America, and the Caribbean were the regions with the highest level of urbanization, with over four-fifths of the population residing in urban areas. The degree of urbanization defines the share of the population living in areas defined as "cities". On the other hand, less than half of Africa's population lives in urban settlements. Globally, China accounts for over one-quarter of the built-up areas of more than 500,000 inhabitants. The definition of a city differs across various world regions - some countries count settlements with 100 houses or more as urban, while others only include the capital of a country or provincial capitals in their count. Largest agglomerations worldwideThough North America is the most urbanized continent, no U.S. city was among the top ten urban agglomerations worldwide in 2023. Tokyo-Yokohama in Japan was the largest urban area in the world that year, with 37.7 million inhabitants. New York ranked 13th, with 21.4 million inhabitants. Eight of the 10 most populous cities are located in Asia. ConnectivityIt may be hard to imagine how the reality will look in 2050, with 70 percent of the global population living in cities, but some statistics illustrate the ways urban living differs from suburban and rural living. American urbanites may lead more “connected” (i.e., internet-connected) lives than their rural and/or suburban counterparts. As of 2021, around 89 percent of people living in urban areas owned a smartphone. Internet usage was also higher in cities than in rural areas. On the other hand, rural areas always have, and always will, attract those who want to escape the rush of the city.
The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.
As of 2025, Tokyo-Yokohama in Japan was the largest world urban agglomeration, with 37 million people living there. Delhi ranked second with more than 34 million, with Shanghai in third with more than 30 million inhabitants.
The millions of farmers of India have made significant contributions in providing food and nutrition to the entire nation and provided livelihood to millions of people of the country. During the five decades of planned economic development, India has moved from food-shortage and imports to self-sufficiency and exports. Food security and well being of the farmer appears to be major areas of concern of the planners of Indian agriculture. In order to have a snapshot picture of the farming community at the commencement of the third millennium and to analyze the impact of the transformation induced by public policy, investments and technological change on the farmers' access to resources and income as well as well-being of the farmer households at the end of five decades of planned economic development, Ministry of Agriculture have decided to collect information on Indian farmers through “Situation Assessment Survey” (SAS) on Indian farmers and entrusted the job of conducting the survey to National Sample Survey Organisation (NSSO).
The Situation Assessment Survey of Farmers is the first of its kind to be conducted by NSSO. Though information on a majority of items to be collected through SAS have been collected in some round or other of NSS, an integrated schedule, viz., Schedule 33, covering some basic characteristics of farmer households and their access to basic and modern farming resources will be canvassed for the first time in SAS. Moreover, information on consumption of various goods and services in an abridged form are also to be collected to have an idea about the pattern of consumption expenditure of the farmer households.
Schedule 33 is designed for collection of information on aspects relating to farming and other socio-economic characteristics of farmer households. The information will be collected in two visits to the same set of sample households. The first visit will be made during January to August 2003 and the second, during September to December 2003. The survey will be conducted in rural areas only. It will be canvassed in the Central Sample except for the States of Maharashtra and Meghalaya where it will be canvassed in both State and Central samples.
The survey covered rural sector of Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.
Household (farmer)
Sample survey data [ssd]
Sample Design
Outline of sample design: A stratified multi-stage design has been adopted for the 59th round survey. The first stage unit (FSU) is the census village in the rural sector and UFS block in the urban sector. The ultimate stage units (USUs) will be households in both the sectors. Hamlet-group / sub-block will constitute the intermediate stage if these are formed in the selected area.
Sampling Frame for First Stage Units: For rural areas, the list of villages (panchayat wards for Kerala) as per Population Census 1991 and for urban areas the latest UFS frame, will be used as sampling frame. For stratification of towns by size class, provisional population of towns as per Census 2001 will be used.
Stratification
Rural sector: Two special strata will be formed at the State/ UT level, viz.
Special stratum 1 will be formed if at least 50 such FSU's are found in a State/UT. Similarly, special stratum 2 will be formed if at least 4 such FSUs are found in a State/UT. Otherwise, such FSUs will be merged with the general strata.
From FSUs other than those covered under special strata 1 & 2, general strata will be formed and its numbering will start from 3. Each district of a State/UT will be normally treated as a separate stratum. However, if the census rural population of the district is greater than or equal to 2 million as per population census 1991 or 2.5 million as per population census 2001, the district will be split into two or more strata, by grouping contiguous tehsils to form strata. However, in Gujarat, some districts are not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region will constitute a separate stratum.
Urban sector: In the urban sector, strata will be formed within each NSS region on the basis of size class of towns as per Population Census 2001. The stratum numbers and their composition (within each region) are given below. - stratum 1: all towns with population less than 50,000 - stratum 2: all towns with population 50,000 or more but less than 2 lakhs - stratum 3: all towns with population 2 lakhs or more but less than 10 lakhs - stratum 4, 5, 6, ...: each city with population 10 lakhs or more The stratum numbers will remain as above even if, in some regions, some of the strata are not formed.
Total sample size (FSUs): 10736 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 11624 for state sample.
Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.
Allocation of State/UT level sample to rural and urban sectors: State/UT level sample is allocated between two sectors in proportion to provisional population as per Census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. Earlier practice of giving double weightage to urban sector has been modified considering the fact that two main topics (sch. 18.1 and sch 33) are rural based and there has been considerable growth in urban population. More samples have been allocated to rural sector of Meghalaya state sample at the request of the DES, Meghalaya. The sample sizes by sector and State/UT are given in Table 1 at the end of this Chapter.
Allocation to strata: Within each sector of a State/UT, the respective sample size will be allocated to the different strata in proportion to the stratum population as per census 2001. Allocations at stratum level will be adjusted to a multiple of 2 with a minimum sample size of 2. However, attempt will be made to allocate a multiple of 4 FSUs to a stratum as far as possible. Selection of FSUs: FSUs will be selected with Probability Proportional to Size with replacement (PPSWR), size being the population as per population census 1991 in all the strata for rural sector except for stratum 1. In stratum 1 of rural sector and in all the strata of urban sector, selection will be done using Simple Random Sampling without replacement (SRSWOR). Samples will be drawn in the form of two independent sub-samples.
Note: Detail sampling procedure is provided as external resource.
Face-to-face [f2f]
Schedule 33 (Situation Assessment Survey) has been split into several blocks to obtain detailed information on various aspects of farmer households.
Block 0- Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household.
Block 1- Identification of sample household: items 1 to 12: The identification particulars for items 1, 6 - 11 will be copied from the corresponding items of block 1 of listing schedule (Sch.0.0). The particulars to be recorded in items 2, 3, 4 and 5 have already been printed in the schedule.
Block 2- Particulars of field operation: The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of survey/inspection/scrutiny of schedules, despatch, etc., will be recorded in this block against the appropriate items in the relevant columns.
Block 3- Household characteristics: Characteristics which are mainly intended to be used to classify the households for tabulation will be recorded in this block.
Block 4- Demographic and other particulars of household members: All members of the sample household will be listed in this block. Demographic particulars (viz., relation to head, sex, age, marital status and general education), nature of work, current weekly status, wage and salary earnings etc. will be recorded for each member using one line for one member.
Block 5- Perception of household regarding sufficiency of food: This block will record information about perception of households regarding sufficiency of food.
Block 6- Perceptions regarding some general aspects of farming: In this block some information regarding perception of the farmer household about some general aspects of farming are to be recorded.
Block 7- Particulars of land possessed during Kharif/Rabi: This block is designed to record information regarding the land on which farming activities are carried out by the farmer household during Kharif/Rabi.
Block 8- Area under irrigation during Kharif/Rabi: In this block information regarding the area under irrigation during last 365 days for different crops will be recorded according to the source of irrigation.
Block 9- Some particulars of farming resources used for cultivation during Kharif / Rabi: Information regarding farming resources used for cultivation during the last 365 days will be ascertained from the farmer households and will be recorded in this block.
Block 10- Use of energy during last 365 days: This block will be
The Vatican City, often called the Holy See, has the smallest population worldwide, with only *** inhabitants. It is also the smallest country in the world by size. The islands Niue, Tuvalu, and Nauru followed in the next three positions. On the other hand, India is the most populous country in the world, with over *** billion inhabitants.
The statistic shows the 30 largest countries in the world by area. Russia is the largest country by far, with a total area of about 17 million square kilometers.
Population of Russia
Despite its large area, Russia - nowadays the largest country in the world - has a relatively small total population. However, its population is still rather large in numbers in comparison to those of other countries. In mid-2014, it was ranked ninth on a list of countries with the largest population, a ranking led by China with a population of over 1.37 billion people. In 2015, the estimated total population of Russia amounted to around 146 million people. The aforementioned low population density in Russia is a result of its vast landmass; in 2014, there were only around 8.78 inhabitants per square kilometer living in the country. Most of the Russian population lives in the nation’s capital and largest city, Moscow: In 2015, over 12 million people lived in the metropolis.
Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.
Which county has the most Facebook users? There are more than 383 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country, then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 196.9 million, 122.3 million, and 111.65 million Facebook users respectively. Facebook – the most used social media Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3.5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising. Facebook usage by device As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.
In 2022, the union territory of Delhi had the highest urban population density of over ** thousand persons per square kilometer. While the rural population density was highest in union territory of Puducherry, followed by the state of Bihar.
Delhi was the largest city in terms of number of inhabitants in India in 2023.The capital city was estimated to house nearly 33 million people, with Mumbai ranking second that year. India's population estimate was 1.4 billion, ahead of China that same year.