20240424 12045400 20240424 11313300 editor:esri.dijit.metadata.editor 1.0 FGDC CSDGM Metadata FGDC false FALSE VillageJoin 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 20240424 11313300 1712573107874r06559115992102416 MBDA IT GIS MBDA / MBMA Programme Associate, IT GIS mbda.it.gis@gmail.com Shillong 793001 IN Fettleman RN Dohling MBDA / MBMA Senior Manager, GIS and Remote Sensing Unit fettle69@gmail.com Shillong 793001 IN 2024-04-08 16:15:07.64 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 Village Boundary 6861 villages Village Census Layer, which covers Village Boundary 6861 villages for the state of Meghalaya. Village Census Layer, which covers Village Boundary 6861 villages for the state of Meghalaya. Village Villages Village Boundary Village Boundaries Village Boundary 6861 villages 89.8140847425088 92.8029146655442 25.0290536398488 26.1194057651388 Other Constraints Other Constraints Esri ArcGIS 13.1.0.41833 File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE TRUE VillageJoin Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. District District String 50 0 0 District_Code District Code Integer 4 0 0 Block Block String 50 0 0 Block_Code Block Code Integer 4 0 0 Village Village String 100 0 0 Village_Code Village Code Integer 4 0 0 Area_Sqkm Area Sqkm Double 8 0 0 Area_Ha Area Ha Double 8 0 0 Length Length Double 8 0 0 Village_Census_Name_2001 Village Census Name 2001 String 70 0 0 Village_Census_Name_2011 Village Census Name 2011 String 100 0 0 Village_Census_Code_2001 Village Census Code 2001 String 8 0 0 Village_Census_Code_2011 Village Census Code 2011 String 6 0 0 Level Level String 15 0 0 Village_Code_Join_ Village Code(Join) Integer 4 0 0 District_1 District String 8000 0 0 Block_1 Block String 8000 0 0 Village_1 Village String 8000 0 0 Village_Code_1 Village Code Integer 4 0 0 Cluster Cluster String 8000 0 0 Cluster_Name Cluster Name String 8000 0 0 Village_Name_as_per_Cluster_ Village Name(as per Cluster) String 8000 0 0 Total_Urban_Rural Total/Urban/Rural String 8000 0 0 Total_Number_of_Household Total Number of Household Integer 4 0 0 Total_Population_2011 Total Population 2011 Integer 4 0 0 Male_Population_2011 Male Population 2011 Integer 4 0 0 Female_Population_2011 Female Population 2011 Integer 4 0 0 Total_Population_2012 Total Population 2012 Integer 4 0 0 Male_Population_2012 Male Population 2012 Integer 4 0 0 Female_Population_2012 Female Population 2012 Integer 4 0 0 Percent_Population_Growth_2012 Percent Population Growth 2012 Double 8 0 0 Total_Population_2013 Total Population 2013 Integer 4 0 0 Male_Population_2013 Male Population 2013 Integer 4 0 0 Female_Population_2013 Female Population 2013 Integer 4 0 0 Percent_Population_Growth_2013 Percent Population Growth 2013 Double 8 0 0 Total_Population_2014 Total Population 2014 Integer 4 0 0 Male_Population_2014 Male Population 2014 Integer 4 0 0 Female_Population_2014 Female Population 2014 Integer 4 0 0 Percent_Population_Growth_2014 Percent Population Growth 2014 Double 8 0 0 Total_Population_2015 Total Population 2015 Integer 4 0 0 Male_Population_2015 Male Population 2015 Integer 4 0 0 Female_Population_2015 Female Population 2015 Integer 4 0 0 Percent_Population_Growth_2015 Percent Population Growth 2015 Double 8 0 0 Total_Population_2016 Total Population 2016 Integer 4 0 0 Male_Population_2016 Male Population 2016 Integer 4 0 0 Female_Population_2016 Female Population 2016 Integer 4 0 0 Percent_Population_Growth_2016 Percent Population Growth 2016 Double 8 0 0 Total_Population_2017 Total Population 2017 Integer 4 0 0 Male_Population_2017 Male Population 2017 Integer 4 0 0 Female_Population_2017 Female Population 2017 Integer 4 0 0 Percent_Population_Growth_2017 Percent Population Growth 2017 Double 8 0 0 Total_Population_2018 Total Population 2018 Integer 4 0 0 Male_Population_2018 Male Population 2018 Integer 4 0 0 Female_Population_2018 Female Population 2018 Integer 4 0 0 Percent_Population_Growth_2018 Percent Population Growth 2018 Double 8 0 0 Percent_Males_2018 Percent Males 2018 Double 8 0 0 Percent_Females_2018 Percent Females 2018 Double 8 0 0 Total_Population_2019 Total Population 2019 Integer 4 0 0 Male_Population_2019 Male Population 2019 Integer 4 0 0 Female_Population_2019 Female Population 2019 Integer 4 0 0 Percent_Population_Growth_2019 Percent Population Growth 2019 Double 8 0 0 Total_Population_2020 Total Population 2020 Integer 4 0 0 Male_Population_2020 Male Population 2020 Integer 4 0 0 Female_Population_2020 Female Population 2020 Integer 4 0 0 Percent_Population_Growth_2020 Percent Population Growth 2020 Double 8 0 0 Total_Population_2021 Total Population 2021 Integer 4 0 0 Male_Population_2021 Male Population 2021 Integer 4 0 0 Female_Population_2021 Female Population 2021 Integer 4 0 0 Percent_Population_Growth_2021 Percent Population Growth 2021 Double 8 0 0 Total_Population_2022 Total Population 2022 Integer 4 0 0 Male_Population_2022 Male Population 2022 Integer 4 0 0 Female_Population_2022 Female Population 2022 Integer 4 0 0 Percent_Population_Growth_2022 Percent Population Growth 2022 Double 8 0 0 Total_Population_2023 Total Population 2023 Integer 4 0 0 Male_Population_2023 Male Population 2023 Integer 4 0 0 Female_Population_2023 Female Population 2023 Integer 4 0 0 Percent_Population_Growth_2023 Percent Population Growth 2023 Double 8 0 0 Total_Population_2024 Total Population 2024 Integer 4 0 0 Male_Population_2024 Male Population 2024 Integer 4 0 0 Female_Population_2024 Female Population 2024 Integer 4 0 0 Percent_Population_Growth_2024 Percent Population Growth 2024 Double 8 0 0 Total_Population_2025 Total Population 2025 Integer 4 0 0 Male_Population_2025 Male Population 2025 Integer 4 0 0 Female_Population_2025 Female Population 2025 Integer 4 0 0 Percent_Population_Growth_2025 Percent Population Growth 2025 Double 8 0 0 Total_Population_2026 Total Population 2026 Integer 4 0 0 Male_Population_2026 Male Population 2026 Integer 4 0 0 Female_Population_2026 Female Population 2026 Integer 4 0 0 Percent_Population_Growth_2026 Percent Population Growth 2026 Double 8 0 0 Total_Population_2027 Total Population 2027 Integer 4 0 0 Male_Population_2027 Male Population 2027 Integer 4 0 0 Female_Population_2027 Female Population 2027 Integer 4 0 0 Percent_Population_Growth_2027 Percent Population Growth 2027 Double 8 0 0 Total_Population_2028 Total Population 2028 Integer 4 0 0 Male_Population_2028 Male Population 2028 Integer 4 0 0 Female_Population_2028 Female Population 2028 Integer 4 0 0 Percent_Population_Growth_2028 Percent Population Growth 2028 Double 8 0 0 Total_Population_2029 Total Population 2029 Integer 4 0 0 Male_Population_2029 Male Population 2029 Integer 4 0 0 Female_Population_2029 Female Population 2029 Integer 4 0 0 Percent_Population_Growth_2029 Percent Population Growth 2029 Double 8 0 0 Total_Population_2030 Total Population 2030 Integer 4 0 0 Male_Population_2030 Male Population 2030 Integer 4 0 0 Female_Population_2030 Female Population 2030 Integer 4 0 0 Percent_Population_Growth_2030 Percent Population Growth 2030 Double 8 0 0 Total_Population_2031 Total Population 2031 Integer 4 0 0 Male_Population_2031 Male Population 2031 Integer 4 0 0 Female_Population_2031 Female Population 2031 Integer 4 0 0 Percent_Population_Growth_2031 Percent Population Growth 2031 Double 8 0 0 Total_Population_2032 Total Population 2032 Integer 4 0 0 Male_Population_2032 Male Population 2032 Integer 4 0 0 Female_Population_2032 Female Population 2032 Integer 4 0 0 Percent_Population_Growth_2032 Percent Population Growth 2032 Double 8 0 0 Total_Population_2033 Total Population 2033 Integer 4 0 0 Male_Population_2033 Male Population 2033 Integer 4 0 0 Female_Population_2033 Female Population 2033 Integer 4 0 0 Percent_Population_Growth_2033 Percent Population Growth 2033 Double 8 0 0 Total_Population_2034 Total Population 2034 Integer 4 0 0 Male_Population_2034 Male Population 2034 Integer 4 0 0 Female_Population_2034 Female Population 2034 Integer 4 0 0 Percent_Population_Growth_2034 Percent Population Growth 2034 Double 8 0 0 Total_Population_2035 Total Population 2035 Integer 4 0 0 Male_Population_2035 Male Population 2035 Integer 4 0 0 Female_Population_2035 Female Population 2035 Integer 4 0 0 Percent_Population_Growth_2035 Percent Population Growth 2035 Double 8 0 0 Total_Population_2036 Total Population 2036 Integer 4 0 0 Male_Population_2036 Male Population 2036 Integer 4 0 0 Female_Population_2036 Female Population 2036 Integer 4 0 0 Percent_Population_Growth_2036 Percent Population Growth 2036 Double 8 0 0 Area_in_sqkm Area in sqkm Double 8 0 0 Area_in_Ha Area in Ha Double 8 0 0 Area_Cropland__Ha_ Area Cropland (Ha) Double 8 0 0 Area_Fallow_land__Ha_ Area Fallow land (Ha) Double 8 0 0 Area_Horticulture__Ha_ Area Horticulture (Ha) Integer 4 0 0 Area_Orchard__Ha_ Area Orchard (Ha) Integer 4 0 0 Area_Other_Agriculture_Land__Ha_ Area Other Agriculture Land (Ha) Integer 4 0 0 Area_Plant_nursery__ha_ Area Plant nursery (ha) Double 8 0 0 Area_Plantations__Ha_ Area Plantations (Ha) Double 8 0 0 Total_Agricultural_Land__Ha_ Total Agricultural Land (Ha) Double 8 0 0 Total_Agricultural_Land__sqkm_ Total Agricultural Land (sqkm) Double 8 0 0 Total_Without_Fallow_Land__Ha_ Total Without Fallow Land (Ha) Double 8 0 0 Total_Without_Fallow_Land__sqkm_ Total Without Fallow Land (sqkm) Double 8 0 0 F__1__in_Ha_ < 1 (in Ha) Double 8 0 0 F__45__in_Ha_ > 45 (in Ha) Double 8 0 0 F_1_3___in_Ha_ (1-3) (in Ha) Double 8 0 0 F_15_30___in_Ha_ (15-30) (in Ha) Double 8 0 0 F_30_45___in_Ha_ (30-45) (in Ha) Double 8 0 0 F_3_8___in_Ha_ (3-8) (in Ha) Double 8 0 0 F_8_15___in_Ha_ (8-15) (in Ha) Double 8 0 0 Aquic_Eutrochrepts__in_Ha_ Aquic Eutrochrepts (in Ha) Double 8 0 0 Typic_Kandiudults__in_Ha_ Typic Kandiudults (in Ha) Double 8 0 0 Humic_Hapludults__in_Ha_ Humic Hapludults (in Ha) Double 8 0 0 Aeric_Haplaquepts__in_Ha_ Aeric Haplaquepts (in Ha) Double 8 0 0 Pachic_Haplumbrepts__in_Ha_ Pachic Haplumbrepts (in Ha) Double 8 0 0 Typic_Udorthents__in_Ha_ Typic Udorthents (in Ha) Double 8 0 0 Typic_Dystrochrepts__in_Ha_ Typic Dystrochrepts (in Ha) Double 8 0 0 Lithic_Udorthents__in_Ha_ Lithic Udorthents (in Ha) Double 8 0 0 Umbric_Dystrochrepts__in_Ha_ Umbric Dystrochrepts (in Ha) Double 8 0 0 Typic_Haplaquepts__in_Ha_ Typic Haplaquepts (in Ha) Double 8 0 0 Typic_Haplohumults__in_Ha_ Typic Haplohumults (in Ha) Double 8 0 0 Humic_Haplaquepts__in_Ha_ Humic Haplaquepts (in Ha) Double 8 0 0 Typic_Haplumbrepts__in_Ha_ Typic Haplumbrepts (in Ha) Double 8 0 0 Typic_Kandihumults__in_Ha_ Typic Kandihumults (in Ha) Integer 4 0 0 Dystric_Eutrochrepts__in_Ha_ Dystric Eutrochrepts (in Ha) Double 8 0 0 Total_Area__Soil_Type_Ha Total Area (Soil Type)Ha Double 8 0 0 Angandwadi_Centers Angandwadi Centers String 8000 0 0 Schools Schools String 8000 0 0 Health_Facilities Health Facilities String 8000 0 0 Bank_Network Bank Network String 8000 0 0 Police_Stations Police Stations String 8000 0 0 Road Road String 8000 0 0 Cooperative_Societies Cooperative Societies String 8000 0 0 Name_of_Megha_LAMP_IVCS Name of Megha-LAMP IVCS String 8000 0 0 Name_of_SCS__PACS Name of SCS/ PACS String 8000 0 0 Grades Grades String 8000 0 0 Major_Produce_1 Major Produce 1 String 8000 0 0 Major_Produce_2 Major Produce 2 String 8000 0 0 Major_Produce_3 Major Produce 3 String 8000 0 0 IVCS_Manager IVCS Manager String 8000 0 0 VDV VDV String 8000 0 0 Processing_Activities Processing Activities String 8000 0 0 CMC__Collective_Marketing_Center_ CMC (Collective Marketing Center) String 8000 0 0 Custom_Hiring_Center Custom Hiring Center String 8000 0 0 Cold_Storage Cold Storage String 8000 0 0 FPO FPO String 8000 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated.