India: Forest area, sq. km: The latest value from 2023 is 729592 sq. km, an increase from 726930 sq. km in 2022. In comparison, the world average is 207390.9 sq. km, based on data from 194 countries. Historically, the average for India from 1990 to 2023 is 687496.2 sq. km. The minimum value, 639380 sq. km, was reached in 1990 while the maximum of 729592 sq. km was recorded in 2023.

Actual value and historical data chart for India Land Area Sq Km

India: Land area in sq. km: The latest value from 2023 is 2973190 sq. km, unchanged from 2973190 sq. km in 2022. In comparison, the world average is 656095 sq. km, based on data from 196 countries. Historically, the average for India from 1961 to 2023 is 2973190 sq. km. The minimum value, 2973190 sq. km, was reached in 1961 while the maximum of 2973190 sq. km was recorded in 1961.

India Land Use: Land Area: Forest data was reported at 726,928.000 sq km in 2022. This records an increase from the previous number of 724,264.000 sq km for 2021. India Land Use: Land Area: Forest data is updated yearly, averaging 687,340.000 sq km from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 726,928.000 sq km in 2022 and a record low of 639,380.000 sq km in 1990. India Land Use: Land Area: Forest data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.ESG: Environmental: Land Use: Non OECD Member: Annual.

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.

Russia is the largest country in the world by far, with a total area of just over 17 million square kilometers. After Antarctica, the next three countries are Canada, the U.S., and China; all between 9.5 and 10 million square kilometers. The figures given include internal water surface area (such as lakes or rivers) - if the figures were for land surface only then China would be the second largest country in the world, the U.S. third, and Canada (the country with more lakes than the rest of the world combined) fourth. Russia Russia has a population of around 145 million people, putting it in the top ten most populous countries in the world, and making it the most populous in Europe. However, it's vast size gives it a very low population density, ranked among the bottom 20 countries. Most of Russia's population is concentrated in the west, with around 75 percent of the population living in the European part, while around 75 percent of Russia's territory is in Asia; the Ural Mountains are considered the continental border. Elsewhere in the world Beyond Russia, the world's largest countries all have distinctive topographies and climates setting them apart. The United States, for example, has climates ranging from tundra in Alaska to tropical forests in Florida, with various mountain ranges, deserts, plains, and forests in between. Populations in these countries are often concentrated in urban areas, and are not evenly distributed across the country. For example, around 85 percent of Canada's population lives within 100 miles of the U.S. border; around 95 percent of China lives east of the Heihe–Tengchong Line that splits the country; and the majority of populations in large countries such as Australia or Brazil live near the coast.

India Land Use: Land Area: Other data was reported at 460,982.500 sq km in 2022. This records a decrease from the previous number of 463,646.500 sq km for 2021. India Land Use: Land Area: Other data is updated yearly, averaging 513,875.500 sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 1,223,670.000 sq km in 1961 and a record low of 460,982.500 sq km in 2022. India Land Use: Land Area: Other data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.ESG: Environmental: Land Use: Non OECD Member: Annual.

Actual value and historical data chart for India Surface Area Sq Km

Time series data for the statistic Urban land area (sq. km) and country India.

India Protected Areas: Terrestrial: Wilderness Area data was reported at 0.000 sq km in 2022. This stayed constant from the previous number of 0.000 sq km for 2021. India Protected Areas: Terrestrial: Wilderness Area data is updated yearly, averaging 0.000 sq km from Dec 1950 (Median) to 2022, with 30 observations. The data reached an all-time high of 0.000 sq km in 2022 and a record low of 0.000 sq km in 2022. India Protected Areas: Terrestrial: Wilderness Area data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.ESG: Environmental: Protected Areas: Total for Category by Domain: Non OECD Member: Annual.

Actual value and historical data chart for India Population Density People Per Sq Km

India Land Cover: Bare Area: Total data was reported at 59,105.545 sq km th in 2022. This records an increase from the previous number of 58,557.231 sq km th for 2020. India Land Cover: Bare Area: Total data is updated yearly, averaging 57,656.088 sq km th from Dec 2000 (Median) to 2022, with 6 observations. The data reached an all-time high of 59,105.545 sq km th in 2022 and a record low of 57,244.902 sq km th in 2000. India Land Cover: Bare Area: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Actual value and historical data chart for India Forest Area Sq Km

India Land Cover: Bare Area: Unconsolidated data was reported at 0.111 sq km th in 2019. This stayed constant from the previous number of 0.111 sq km th for 2018. India Land Cover: Bare Area: Unconsolidated data is updated yearly, averaging 0.111 sq km th from Dec 1992 (Median) to 2019, with 5 observations. The data reached an all-time high of 0.111 sq km th in 2019 and a record low of 0.103 sq km th in 1992. India Land Cover: Bare Area: Unconsolidated data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.ESG: Environmental: Land Cover: Non OECD Member: Annual.

Human activities and climate change exert significant influence on global land-use and land-cover (LULC) alteration. The integration of geo-spatial and remote sensing technologies is pivotal in comprehending these dynamics and formulating strategies for future natural resource management. This research is centered on the modeling of spatio-temporal trajectories of landscape transformation spanning from 1988 to 2018, with a forward-looking scenario up to 2040. By leveraging imagery from Landsat 5, LISS-3, and Sentinel 2A MSI, a detailed assessment of LULC changes was carried out for the Mashi Dam command (CMD) area in Rajasthan, India, covering a total expanse of 90.07 km2. Rigorous validation of the 2018 land cover map against ground-truth data ensured the reliability of predictions, which were subsequently utilized to forecast LULC patterns for 2031 and 2041. The analysis uncovered significant impacts on cropland, barren land, built-up areas, and scrub land throughout the study period. Notably, built-up areas, water bodies, and barren land exhibited substantial growth from 2008 to 2018, while cropland experienced a decline of 4.75% in the same timeframe. Projections indicate a further reduction in cropland by 2041, accompanied by an expansion of barren land. These results underscore the critical imperative for effective land management strategies to mitigate the conversion of cropland and scrub land into barren areas, thereby ensuring the sustainable utilization of agricultural resources in the region.

Agricultural land (sq. km) in India was reported at 1785710 sq. Km in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Agricultural land (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

The conversion of Earth's land surface to urban uses is one of the most irreversible human impacts on the global biosphere. It drives the loss of farmland, affects local climate, fragments habitats, and threatens biodiversity. Here we present a meta-analysis of 326 studies that have used remotely sensed images to map urban land conversion. We report a worldwide observed increase in urban land area of 58,000 km2 from 1970 to 2000. India, China, and Africa have experienced the highest rates of urban land expansion, and the largest change in total urban extent has occurred in North America. Across all regions and for all three decades, urban land expansion rates are higher than or equal to urban population growth rates, suggesting that urban growth is becoming more expansive than compact. Annual growth in GDP per capita drives approximately half of the observed urban land expansion in China but only moderately affects urban expansion in India and Africa, where urban land expansion is driven more by urban population growth. In high income countries, rates of urban land expansion are slower and increasingly related to GDP growth. However, in North America, population growth contributes more to urban expansion than it does in Europe. Much of the observed variation in urban expansion was not captured by either population, GDP, or other variables in the model. This suggests that contemporary urban expansion is related to a variety of factors difficult to observe comprehensively at the global level, including international capital flows, the informal economy, land use policy, and generalized transport costs. Using the results from the global model, we develop forecasts for new urban land cover using SRES Scenarios. Our results show that by 2030, global urban land cover will increase between 430,000 km2 and 12,568,000 km2, with an estimate of 1,527,000 km2 more likely.

Climate plays a major role in determining the distribution of plants and animals. Bioclimatology, the study of climate as it affects and is affected by living organisms, is key to understanding the patterns of forests and deserts on the landscape, where productive agricultural lands may be found, and how changes in the climate will affect rare species. This layer is part of the Ecophysiographic Project and is one of the four input layers used to create the World Ecological Land Units Map.Dataset Summary This layer provides access to a 250m cell-sized raster with a bioclimatic stratification. The source dataset was a 30-arcsecond resolution raster (equivalent to 0.86 km2 at the equator or about a 920m pixel size). The layer has the following attributes: Temperature Description - Seven classes based on the number of growing degree days (the monthly mean temperature multiplied by number of days in the month summed for all months). The 1950 to 2000 monthly average temperature was used to calculate growing degree days. Values in this field and associated number of growing degree days are:Temperature DescriptionGrowing Degree DaysVery Hot9,000 – 13,500Hot7,000 – 9,000Warm4,500 – 7,000Cool2,500 – 4,500Cold1,000 – 2,500Very Cold300 – 1,000Arctic0 - 300Aridity Description - Six classes based on an index of aridity calculated by dividing precipitation by evapotranspiration. Precipitation and evapotranspiration are average values from 1950 to 2000.Aridity DescriptionAridity IndexVery Wet1.5 – 70Wet1.0 – 1.5Moist0.6 – 1.0Semi-dry0.3 – 0.6Dry0.1 – 0.3Very Dry0.01 – 0.1Bioclimate Class - a 2-part description that combines the value of the Temperature Description field and the Aridity Description field. The alias for this field is ELU Bioclimate Reclass. This layer was created by modifying the dataset documented in the publication: Metzger and others. 2012. A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. What can you do with this layer? This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. A service is available providing access to the data table associated with this layer. The data table services can be used by developers to quickly and efficiently query the data and to create custom applications. For more information see the World Ecophysiographic Tables.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

Actual value and historical data chart for Saudi Arabia Land Area Sq Km

Two datasets provide geographic, land use and population data for US Counties within the contiguous US. Land area, water area, cropland area, farmland area, pastureland area and idle cropland area are given along with latitude and longitude of the county centroid and the county population. Variables in this dataset come from the US Dept. of Agriculture (USDA) Natural Resources Conservation Service (NRCS) and the US Census Bureau.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

US County Data Datasets:

1) Agricultural Management 2) Crop Data (NASS Crop data) 3) Crop Summary (NASS Crop data) 4) Geography and Population 5) Land Use 6) Livestock Populations 7) Soil Properties