India NRI Deposits: Net Accretions: Non Resident Ordinary Rupee Accounts data was reported at 185.000 USD mn in Sep 2018. This records a decrease from the previous number of 367.000 USD mn for Aug 2018. India NRI Deposits: Net Accretions: Non Resident Ordinary Rupee Accounts data is updated monthly, averaging 104.000 USD mn from Apr 2006 (Median) to Sep 2018, with 150 observations. The data reached an all-time high of 997.000 USD mn in Nov 2011 and a record low of -411.000 USD mn in Aug 2017. India NRI Deposits: Net Accretions: Non Resident Ordinary Rupee Accounts data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KAG003: Non Resident Indian Deposits.

The 2017 National Resources Inventory (NRI) conducted by the U.S. Department of Agriculture's Natural Resources Conservation Service (NRCS) provides updated information on the status, condition, and trends of land, soil, water, and related resources on the Nation's non-Federal lands. Non-Federal lands include privately owned lands, tribal and trust lands, and lands controlled by State and local governments. The 2017 NRI provides nationally consistent data for the 35-year period 1982–2017. This current NRI database should be used to compare 2017 conditions with those for earlier years. Major releases of these data continue to be reported at 5-year intervals. The NRI survey framework was also used to conduct focused data collections, such as the annual Grazing Lands On-Sites, the Conservation Effects Assessment Project (CEAP) Farmer Surveys, and other one-time special studies. Statistical estimation and quality assurance procedures employed for the NRI survey program help ensure that trends reported using NRI data reflect true changes in resource conditions; Chapter 7 Methodology and Use section of this report provides further explanation. This report presents national- and state-level estimates from the 2017 NRI for the 48 conterminous states, Hawaii, and the Caribbean Territories for basic NRI data themes, including changes and trends in land cover/use, irrigation, land capability class and subclass, prime farmland, soil erosion, and wetlands. Information on how to request additional NRI estimates can be found on the NRI Web site at http://www.nrcs.usda.gov/technical/nri/. NRI summary report (pdf), data tables (xlsx), and figures (zip) are available for download, and State and Regional profiles based on the 2017 NRI can be found through the RCA data viewer. Resources in this dataset:Resource Title: National Resources Inventory. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/technical/nra/nri/ A statistical survey of land use and natural resource conditions and trends on U.S. non-Federal lands.

India NRI Deposits: Net Accretions: Total data was reported at 1.136 USD bn in Sep 2018. This records a decrease from the previous number of 1.391 USD bn for Aug 2018. India NRI Deposits: Net Accretions: Total data is updated monthly, averaging 463.000 USD mn from Apr 2001 (Median) to Sep 2018, with 210 observations. The data reached an all-time high of 15.145 USD bn in Nov 2013 and a record low of -9.299 USD bn in Nov 2016. India NRI Deposits: Net Accretions: Total data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KAG003: Non Resident Indian Deposits.

The National Resource Inventory (NRI) program acquires aerial photos of small 1/4 section sites nationwide. It is special purpose photography for government land-use studies and not available for reproduction or resale. USDA Natural Resources Conservation Service (NRCS) is the umbrella name given to several NRCS land managment initiatives. The basic unit of description for a Stewardship Lands Imagery (SLI) site is called an easement. SLI easements are generally larger than NRI sites some SLI easements are less than one acre while others may be as large as 16,000 acres.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP606), Subsurface Drains (SD) on agricultural land by county. Subsurface Drains are described as "a conduit, such as corrugated plastic tubing, tile, or pipe, installed beneath the ground surface to collect and/or convey drainage." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which SD's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

External Debt: USD: Non Resident Indian Deposit (NRI) data was reported at 126.182 USD bn in 2018. This records an increase from the previous number of 116.867 USD bn for 2017. External Debt: USD: Non Resident Indian Deposit (NRI) data is updated yearly, averaging 31.216 USD bn from Mar 1990 (Median) to 2018, with 29 observations. The data reached an all-time high of 126.929 USD bn in 2016 and a record low of 9.124 USD bn in 1990. External Debt: USD: Non Resident Indian Deposit (NRI) data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC004: External Debt: USD (Annual).

The dataset contains All India and Monthly Non-Resident of India (NRI) Deposits - Outstandings and Inflows(+) / Outflows(-)

Notes: 1. Flows derived from the month-end balances may not be consistent with the data provided under monthly total ‘outflows/inflows’ as exchange rates used in two sets of data are different. 2. All figures are inclusive of accrued interest. 3. Foreign Currency Non-Resident (Banks) was introduced in May 1993.

In 2022, the year-over-year change in the arrival of non-resident Indians in India was just around 44 percent, marking a decrease compared to previous years. The Ministry of Tourism began compiling annual data on inbound tourism by non-resident Indians only since 2014.

description: (Link to Metadata) This collection provides tabular USDA - Natural Resource Conservation Service (NRCS), National Resources Inventory (NRI) data (1982-1997), by County. Sources include, the U.S. Bureau Census Bureau, Census of Population and Housing, for total county area figures. The National Resources Inventory (NRI) is a statistically based sample of land use and natural resource conditions and trends on U.S. nonfederal lands. NRI data are collected at scientifically selected sample sites. The sample constitutes a two-stage stratified area sample of the entire country. Samples are located in all counties and parishes of the 50 states and in Puerto Rico, the Virgin Islands, the District of Columbia, and selected portions of the Pacific Basin. The first-stage sampling unit, or primary sampling unit (PSU), is an area/segment of land; the second-stage sampling units are points located within the PSUs. Detailed NRI data are collected for the specific sample points, but some items are also collected for the entire PSU/segment. Some data, such as total surface area, federally owned land, and area in large water bodies, are collected on a census basis external to the sample survey. The NRI database accounts for and represents the total area of the United States, but very little information is given for points on federal lands. Statistics derived from the NRI database are estimates and not absolutes. This means that there is some amount of uncertainty in any result obtained using NRI data. This data has been made available through the USDA-Natural Resources Consevation Service. Please contact Ray Godfrey, USDA-NRCS, Winooski, VT. 802-951-6796, ray.godfrey@vt.usda.gov - One may download Excel spreadsheets or comma-delimited ASCII textfiles of this data from the VGIS indicators webpage - http://crs.uvm.edu/indicators/; abstract: (Link to Metadata) This collection provides tabular USDA - Natural Resource Conservation Service (NRCS), National Resources Inventory (NRI) data (1982-1997), by County. Sources include, the U.S. Bureau Census Bureau, Census of Population and Housing, for total county area figures. The National Resources Inventory (NRI) is a statistically based sample of land use and natural resource conditions and trends on U.S. nonfederal lands. NRI data are collected at scientifically selected sample sites. The sample constitutes a two-stage stratified area sample of the entire country. Samples are located in all counties and parishes of the 50 states and in Puerto Rico, the Virgin Islands, the District of Columbia, and selected portions of the Pacific Basin. The first-stage sampling unit, or primary sampling unit (PSU), is an area/segment of land; the second-stage sampling units are points located within the PSUs. Detailed NRI data are collected for the specific sample points, but some items are also collected for the entire PSU/segment. Some data, such as total surface area, federally owned land, and area in large water bodies, are collected on a census basis external to the sample survey. The NRI database accounts for and represents the total area of the United States, but very little information is given for points on federal lands. Statistics derived from the NRI database are estimates and not absolutes. This means that there is some amount of uncertainty in any result obtained using NRI data. This data has been made available through the USDA-Natural Resources Consevation Service. Please contact Ray Godfrey, USDA-NRCS, Winooski, VT. 802-951-6796, ray.godfrey@vt.usda.gov - One may download Excel spreadsheets or comma-delimited ASCII textfiles of this data from the VGIS indicators webpage - http://crs.uvm.edu/indicators/

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS05), Combination of Irrigation Sources (CIS) on agricultural land by county. A combination of irrigation sources means one or more sources of irrigation, such as wells, ponds, or streams are used on agricultural land. (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

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External Debt: Non Resident Indian Deposit (NRI) data was reported at 8,844,512.275 INR mn in Sep 2018. This records an increase from the previous number of 8,520,922.843 INR mn for Jun 2018. External Debt: Non Resident Indian Deposit (NRI) data is updated quarterly, averaging 2,358,450.000 INR mn from Mar 2004 (Median) to Sep 2018, with 59 observations. The data reached an all-time high of 8,844,512.275 INR mn in Sep 2018 and a record low of 1,356,180.000 INR mn in Mar 2004. External Debt: Non Resident Indian Deposit (NRI) data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC001: External Debt: INR.

This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. It focuses on the BLM terrestrial core indicators, which include measures of vegetation and soil condition such as plant species cover and composition, plant height, and soil stability. The BLM terrestrial core indicators and methods were identified through a multi-disciplinary process and are described in BLM Technical Note 440 (https://ia800701.us.archive.org/6/items/blmcoreterrestri00mack/BlmCoreTerrestrialIndicatorsAndMethods_88072539.pdf). The Landscape Monitoring Framework (LMF) dataset was collect using the Natural Resource Conservation Services (NRCS) National Resource Inventory (NRI) methodology which mirrors the data collected by the BLM using the Monitoring Manual for Grassland, Shrubland, and Savannah Ecosystems (2nd edition; https://www.landscapetoolbox.org/manuals/monitoring-manual/). Specific instructions for data collectors each year the data were collected can be found at https://grazingland.cssm.iastate.edu/reference-materials. Also see Interpreting Indicators of Rangeland Health (version 5; https://www.landscapetoolbox.org/manuals/iirhv5/). The monitoring locations were selected using spatially balanced, random sampling approaches and thus provide an unbiased representation of land conditions. However, these data should not be used for statistical or spatial inferences without knowledge of how the sample design was drawn or without calculating spatial weights for the points based on the sample design. General Definitions Noxious: Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Each state’s noxious list can be found in tblStateSpecies Table, where the Noxious field is ‘YES’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Noxious: Non-Noxious status and growth form (forb, shrub, etc.) are designated for each BLM Administrative State using the state noxious list and local botany expertise often after consulting the USDA plants database. Non-Noxious status can be found in tblStateSpecies Table, where the Noxious field is ‘NO’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Sagebrush: Sagebrush species are designated for each BLM Administrative State using local botany expertise. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘Sagebrush’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Non-Sagebrush Shrub: Non Sagebrush Shrub species are designated for each BLM Administrative State as the plants determined to be shrubs that are not also Sagebrush. This list can be found for each state in in the tblStateSpecies Table, where SG_Group field is ‘NonSagebrushShrub’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Tall Stature Perennial Grass: Tall Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘TallStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Short Stature Perennial Grass: Short Stature Perennial Grasses status was determined by Sage Grouse biologist and modified slightly in each state and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘ShortStaturePerennialGrass’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Preferred Forb: Preferred forb for Sage Grouse status was determined for each state by Sage Grouse biologist and other local experts and this list can be found in tblStateSpecies in the SG_Group field where SG_Group field is ‘PreferredForb’ and the StateSpecies field has the two letter state code for the desired state (e.g. ‘NM’). Live: The NRI Methods measure Live vs Dead plant cover – i.e. if a pin drop hits a plant part and that plant part is dead (even if it’s on a living plant) that hit is considered a dead hit. Any occurrence of Live Sagebrush calculations indicates that the measurement is only hits that were live plant parts. If a pin hits both a live and a dead plant part in the same pin drop – that hit is considered live. Growth Habit: The form of a plant, in this dataset the options are Forb, Graminoid, Sedge, Succulent, Shrub, SubShrub, Tree, NonVascular. The most common growth habit for each state was determined by local botany expertise often after consulting the USDA plants database. The growth habit for each species is a state can be found in tblStateSpecies in the GrowthHabitSub field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. Duration: The life length of a plant. In this dataset we consider plants to be either Perennial or Annual – Biennial plants are classified as Annuals. The most common duration for each state was determined by local botany expertise often after consulting the USDA plants database. The duration for each species is a state can be found in tblStateSpecies in the Duration field. The values are used to place each plant in a Growth Habit/Duration bin such as Perennial Grass, or Annual Forb, etc. tblStateSpecies: This table in the database contains the Species Lists for each state. In the instance where a species code does not have a Growth Habit, Growth Habit Sub, or Duration – any occurrence of that code will not be included in calculations that require that information – for example a code that has NonWoody Forb but no information about annual or perennial will not be included in any of the calculations that are perennial or annual forb calculations. Most codes with no information will have the following in the notes – indicating that the only calculation it will be included in is Total Foliar which doesn’t require any growth habit and duration information – “Not used for calculations except Total Foliar.”

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS02), Pond, Lake or Reservoir as an Irrigation Source (PLRIS) on agricultural land by county. Pond, Lake or Reservoir as an Irrigation Source are described as an "inland body of water (fresh or salt) of considerable size occupying a basin or hollow on the earth's surface, and which may or may not have a current or single direction of flow." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which PLRIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI d ...

description: This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS04), Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source (LWWIS) on agricultural land by county. Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source is described as an "impoundment made by excavation or earthfill for biological treatment of animal or other agricultural waste." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which LWWIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.; abstract: This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS04), Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source (LWWIS) on agricultural land by county. Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source is described as an "impoundment made by excavation or earthfill for biological treatment of animal or other agricultural waste." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which LWWIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The Nationwide Rivers Inventory (NRI) is a listing of more than 3,200 free-flowing river segments in the United States that are believed to possess one or more "outstandingly remarkable" natural or cultural values judged to be at least regionally significant. Hence, NRI river segments are potential candidates for inclusion in the National Wild and Scenic River System. Under the Wild and Scenic Rivers Act section 5(d)(1) and related guidance, all federal agencies must seek to avoid or mitigate actions that would adversely affect one or more NRI segments. The NRI is a source of information for statewide river assessments and federal agencies involved with stream-related projects. For any group concerned with ecosystem management, the inventory can provide the location of the nearest naturally- functioning system which might serve as a reference for monitoring activities. It also serves as a listing of plant and animal species for restoration efforts on a similar section of river. For the recreationalist, it provides a listing of free-flowing, relatively undisturbed river segments.

This data set is for the contiguous United States as well as Alaska, Hawaii, and Puerto Rico and contains 3,213 river segments. This update includes: • Updating the geospatial resolution/ scale to 1:24K • Removing duplicate and overlapping segments • Removing segments or portions of segments that were designated into the National WSR System • Creating a geodatabase with additional attribute fields. Attributes from the original GIS layer were transferred over. Known information on the classification, official NRI list, number of river miles (calculated from GIS) and management entity (federal) were filled in. Notes were made when changes were made to the data. Not all the attributes in the database are filled in and select rivers have additional information.

The new number of NRI river segments is 3,213 (down from 3,439 in the original access files and 2,805 in the original GIS shape file.) Many more segments were modified to remove the designated WSR reaches. Candidate rivers that were found eligible through 5(a) and 5(d) WSR studies since 1993 by the USFS, USFWS, BLM, and NPS in OR have not been added to this database. In order to add these to the official NRI list, the Secretary of Interior would need to announce this addition and notify other federal agencies of this action. No new studies would be needed. It is just a matter of compiling existing studies and data. The file represents the line data for the river segments that are on the NRI list in the contiguous United States as well as Alaska, Hawaii, and Puerto Rico. The data was created by extracting the river segments from the NHD data layer with a 1:24,000 scale.

India NRI Deposits: Net Accretions: Non Resident External Rupee Accounts data was reported at 1.152 USD bn in Sep 2018. This records a decrease from the previous number of 1.178 USD bn for Aug 2018. India NRI Deposits: Net Accretions: Non Resident External Rupee Accounts data is updated monthly, averaging 302.500 USD mn from Apr 2001 (Median) to Sep 2018, with 210 observations. The data reached an all-time high of 3.443 USD bn in May 2012 and a record low of -512.000 USD mn in May 2004. India NRI Deposits: Net Accretions: Non Resident External Rupee Accounts data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KAG003: Non Resident Indian Deposits.