The north-western state of Rajasthan was the largest in terms of land area in India in 2021 with over 342 thousand square kilometers. Central Madhya Pradesh and south-western Maharashtra followed, while the union territory of Lakshadweep recorded an area of 30 square kilometers. Overall, India's geographical area amounted to about 3.3 million square kilometers.

The statistic displays the Indian states with the largest area of national parks in 2016. During the measured time period, the largest area of national parks belonged to the state of Uttarakhand with close to ***** square kilometers, followed by Rajasthan with approximately ***** square kilometers.

The dataset contains year- and state-wise compiled data on the total area of land under mangroves in India.

In financial year 2022, Uttar Pradesh had the largest area under irrigation, which was about 14 million hectares. This was followed by Madhya Pradesh, which had about 13 million hectares of irrigated area.

The dataset contains Year and State wise Pattern of Land Use - Gross Sown Area, Net Sown Area, Gross Irrigated Area, Net Irrigated Area and Cropping Intensity

Note: 1. All India data are inclusive of all States and Union Territories.

The Indian state of Gujarat had the highest continental shelf area, amounting to about ******* square kilometers, followed by the state of Maharashtra as of 2020. The union territory of Puducherry had the smallest continental shelf of ************ square kilometers.

The dataset contains state-wise compiled data on the names and total core and buffer areas of the tiger reserves in India, along with dates of notification and dates of inclusion in project tiger of each reserve

The core and buffer areas of wildlife reserves refer to areas where no human activities and limited human activities are permitted, respectively

The dataset contains state-wise compiled data on the names and area of the elephant reserves in India, along with dates of notification of each reserve

The statistic displays the Indian states with the largest area of wildlife sanctuaries in 2016. During the measured time period, the largest area of wildlife sanctuaries was present in the state of Gujarat which amounted to approximately ****** square kilometers, followed by Andhra Pradesh with an area of about ****** square kilometers of sanctuaries for wildlife.

India Agriculture Cultivated Area: Potato data was reported at 2,184.000 ha th in 2019. This records an increase from the previous number of 2,142.000 ha th for 2018. India Agriculture Cultivated Area: Potato data is updated yearly, averaging 830.000 ha th from Mar 1951 (Median) to 2019, with 69 observations. The data reached an all-time high of 2,184.000 ha th in 2019 and a record low of 240.000 ha th in 1951. India Agriculture Cultivated Area: Potato data remains active status in CEIC and is reported by Department of Agriculture and Cooperation. The data is categorized under Global Database’s India – Table IN.RIN051: Area of Horticulture Crops in Major States: Vegetables: Potato.

The dataset contains Year and State wise Area, Production of Total Vegetables

Note: 1. All India data are inclusive of all States and Union Territories. 2. The data for 2023–24 is based on the 3rd Advance Estimates

Area: Horticulture Crops: Fruits: Guava: Rajasthan data was reported at 12.452 ha th in 2025. This records a decrease from the previous number of 14.369 ha th for 2024. Area: Horticulture Crops: Fruits: Guava: Rajasthan data is updated yearly, averaging 4.756 ha th from Mar 2012 (Median) to 2025, with 14 observations. The data reached an all-time high of 14.369 ha th in 2024 and a record low of 2.458 ha th in 2015. Area: Horticulture Crops: Fruits: Guava: Rajasthan data remains active status in CEIC and is reported by Ministry of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIO017: Area of Horticulture Crops in Major States: Fruits: Guava.

Area: Horticulture Crops: Fruits: Guava: Andhra Pradesh data was reported at 31.214 ha th in 2025. This stayed constant from the previous number of 31.214 ha th for 2024. Area: Horticulture Crops: Fruits: Guava: Andhra Pradesh data is updated yearly, averaging 12.910 ha th from Mar 2012 (Median) to 2025, with 14 observations. The data reached an all-time high of 41.714 ha th in 2022 and a record low of 6.041 ha th in 2016. Area: Horticulture Crops: Fruits: Guava: Andhra Pradesh data remains active status in CEIC and is reported by Ministry of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIO017: Area of Horticulture Crops in Major States: Fruits: Guava.

The dataset contains year- and state-wise historically compiled data on the area and production of plantations in India. The different types of plantations covered in the dataset include cashewnut, cocoa, coconut, arecanut, etc.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2020 Census through the Participant Statistical Areas Program (PSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2022, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2020 Census through the State American Indian Reservation Program and PSAP respectively.

The dataset contains Year and State wise Area, Production and Yield of Foodgrains - Rice

Note: 1. All India data are inclusive of all States and Union Territories.

Area: Horticulture Crops: Vegetables: Cabbage: Meghalaya data was reported at 2.078 ha th in 2025. This stayed constant from the previous number of 2.078 ha th for 2024. Area: Horticulture Crops: Vegetables: Cabbage: Meghalaya data is updated yearly, averaging 1.947 ha th from Mar 2012 (Median) to 2025, with 14 observations. The data reached an all-time high of 2.078 ha th in 2025 and a record low of 1.746 ha th in 2012. Area: Horticulture Crops: Vegetables: Cabbage: Meghalaya data remains active status in CEIC and is reported by Ministry of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIO041: Area of Horticulture Crops in Major States: Vegetables: Cabbage.

India Area: Horticulture Crops: Vegetables: Tapioca: Punjab data was reported at 2.054 ha th in 2014. India Area: Horticulture Crops: Vegetables: Tapioca: Punjab data is updated yearly, averaging 2.054 ha th from Mar 2014 (Median) to 2014, with 1 observations. India Area: Horticulture Crops: Vegetables: Tapioca: Punjab data remains active status in CEIC and is reported by Department of Agriculture and Cooperation. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIN054: Area of Horticulture Crops in Major States: Vegetables: Tapioca.

The dataset contains Year and State wise Area, Production and Yield of Non-Foodgrains - Raw Jute and Mesta

Note: 1. All India data are inclusive of all States and Union Territories. 2. Jute and Mesta data measured in thousand bales of 180 kg each.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

India

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 2002

As part of the India component of the World Values Survey, it was decided to conduct 2000 face-toface interviews. A rigorous scientific method was employed to generate the target sample for the study. The survey was conducted in 18 states of India, which covered nearly 97 % of the nations population.

40 districts in the country were identified for the purpose of the survey (a little less than 1/10 of the districts in the country: 466 districts as per 1991 census). The 40 districts were spread across the 18 states, in which the survey was conducted keeping in mind the population of the states, even while ensuring that the survey was conducted in at least one district in each of the sampled states.

Within each state, the district/s in which the survey was to be conducted was selected by circular sampling (PPS: Probability Proportion to Size). Once all the 40 districts were selected, the Lok Sabha (Lower House of the Indian Parliament)constituency that covered the district was identified. If the sampled district had more than one Lok Sabha constituency, the one, which had a larger proportion of the districts electorate, was selected.

The next stage in the sampling process was the selection of 2 State Assembly (Lower House of the State Legislature) constituencies in each of the sampled 40 Lok Sabha constituencies. Circular Sampling (PPS: Probability Proportion to Size) was once again employed. Thus, 80 Assembly Constituencies in 40 Lok Sabha constituencies (in 40 districts) were selected. Subsequently, a polling booth area in each of the 80 sampled Assembly constituencies was selected by simple circular sampling method.

The number of respondents to be interviewed in each state was determined on the basis of the proportion of the states share in the national population. This was equally divided among the polling booth areas that were sampled in a state. The number of respondents in the polling booth area was the same within a state, but varied from state to state. In a polling booth area, the respondents were selected from the electoral rolls (voters list) by circular sampling with a random first number.

While drawing up the random list of respondents to be interviewed in every sampled polling booth area, the number of target respondents was increased by nearly 20 %. This was done in view of the fact that the field investigators were required to interview only those respondents whose names were included in the sample list. No replacements or alteration in the list of sampled respondents was permitted. Previous survey experience has shown that it has never been possible for the investigator to interview all those included in the list of sampled respondents. A wide range of factors is responsible for the same. The investigators were told to make every effort to interview all those included in the list of respondents. In the event of the investigator not being able to complete an interview, they were asked to record the reason for the same. Such a rigorous method of sampling was followed in order to obtain as representative a national sample as possible. The analysis of the sample profile clearly indicates that the detailed and objective criteria employed has eminently served its purpose as the sample mirrors the nations social, economic, political, cultural and religious diversity.

Remarks about sampling: - Final numbers of clusters or sampling points: No clusters - Sample unit from office sampling: Named individual

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was translated into ten Indian languages by a specialist translator. A few modifications were undertaken in response categories for the scale answer questions. It was then back-translated to English. For each of the 10 languages the pre test was done on a sample of 5 each. There were several concepts and questions difficult to translate: more specifically v75/76/v103/v175/v208/v212/v229/. These problems were solved by developing new phrases close to the original statement or using it in the context of social reality The sample was designed to be representative of the entire adult population, i.e. 18 years and older, of your country. The lower age cut-off for the sample was 18 and there was not any upper age cut-off for the sample.

Response rate

The following table presents completion rate results: - Total number of starting names/addresses 2354 - Addresses which could not be traced at all 56 - Addresses established as empty, demolished or containing no private dwellings 39 - Selected respondent too sick/incapacitated to participate 29 - Selected respondent away during survey period 62 - Selected respondent had inadequate understanding of language of survey 27 - No contact at selected address 76 - No contact with selected person 31 - Refusal at selected address 34 - Full productive interviews 2002

Sampling error estimates

Estimated Error: 2,2