This layer contains a Vermont-only subset of county subdivision level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.Data download date: August 12, 2021Census tables: P1, P2, P3, P4, H1, P5, HeaderDownloaded from: Census FTP siteProcessing Notes:Data was downloaded from the U.S. Census Bureau FTP site and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.Each attribute maintains it's specified name from Census, but also has a descriptive alias name derived from the technical documentation provided by the Census. The following alterations have been made to the tabular data:Joined all tables to create one wide attribute table:P1 - RaceP2 - Hispanic or Latino, and not Hispanic or Latino by RaceP3 - Race for the Population 18 Years and OverP4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and OverH1 - Occupancy Status (Housing)P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)HeaderIn addition to calculated fields, County_Name and State_Name were added.The following calculated fields have been added: PCT_P0030001: Percent of Population 18 Years and OverPCT_P0020002: Percent Hispanic or LatinoPCT_P0020005: Percent White alone, not Hispanic or LatinoPCT_P0020006: Percent Black or African American alone, not Hispanic or LatinoPCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or LatinoPCT_P0020008: Percent Asian alone, Not Hispanic or LatinoPCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or LatinoPCT_P0020010: Percent Some Other Race alone, not Hispanic or LatinoPCT_P0020011: Percent Population of Two or More Races, not Hispanic or LatinoPCT_H0010002: Percent of Housing Units that are OccupiedPCT_H0010003: Percent of Housing Units that are VacantPlease note these percentages might look strange at the individual tract level, since this data has been protected using differential privacy.*VCGI exported a subset of the TIGER geodatabase fields and tabular data fields to produce this layer--with fields limited to this popular subset: OBJECTID: OBJECTID GEOID: Geographic Record Identifier (from TIGER) NAME: Area Name-Legal/Statistical Area Description (LSAD) Term-Part Indicator County_Name: County Name State_Name: State Name P0010001: Total Population P0010003: Population of one race: White alone P0010004: Population of one race: Black or African American alone P0010005: Population of one race: American Indian and Alaska Native alone P0010006: Population of one race: Asian alone P0010007: Population of one race: Native Hawaiian and Other Pacific Islander alone P0010008: Population of one race: Some Other Race alone P0020002: Hispanic or Latino Population P0020003: Non-Hispanic or Latino Population P0030001: Total population 18 years and over H0010001: Total housing units H0010002: Total occupied housing units H0010003: Total vacant housing units P0050001: Total group quarters population PCT_P0030001: Percent of Population 18 Years and Over PCT_P0020002: Percent Hispanic or Latino PCT_P0020005: Percent White alone, not Hispanic or Latino PCT_P0020006: Percent Black or African American alone, not Hispanic or Latino PCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or Latino PCT_P0020008: Percent Asian alone, not Hispanic or Latino PCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or Latino PCT_P0020010: Percent Some Other Race alone, not Hispanic or Latino PCT_P0020011: Percent Population of two or more races, not Hispanic or Latino PCT_H0010002: Percent of Housing Units that are Occupied PCT_H0010003: Percent of Housing Units that are Vacant SUMLEV: Summary Level REGION: Region DIVISION: Division COUNTY: County (FIPS) COUNTYNS: County (NS) TRACT: Census Tract AREALAND: Area (Land) AREAWATR: Area (Water) INTPTLON: Internal Point (Longitude) INTPTLAT: Internal Point (Latitude) BASENAME: Area Base Name POP100: Total Population Count HU100: Total Housing Count *To protect the privacy and confidentiality of respondents, data has been protected using differential privacy techniques by the U.S. Census Bureau. This means that some individual tracts will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized. Download Census redistricting data in this layer as a file geodatabase.Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data Program

The 119th Congressional Districts dataset reflects boundaries from January 03, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). Source data from USDOT is at https://catalog.data.gov/dataset/congressional-districts3Congressional Districts feature layer is updated as-needed and we expect to update it more regularly in the future.Attribute SchemaSTATEFP: The STATEFP is the State fips code.CD119FP: The CD119FP is the Office number of the corresponding district.GEOID: The GEOID is a concatenation of the state fips code and the district number. GEOIDFQ: The GEOIDFQ attribute facilitates joining Census Bureau spatial data to Census Bureau summary file data from data.census.gov. It stands for the "Fully Qualified Geographic Identifier".NAMELSAD: The NAMELSAD is the Congressional District labeled name.LSAD: The LSAD is the Legal/Statistical Area Description.CDSESSN: The CDSESSN is the Congress District Session.MTFCC: The MTFCC is the MAF/TIGER Feature Class Code for "Congressional District".FUNCSTAT: The functional status (FUNCSTAT) code defines the current functional status of a geographic entityALAND: The ALAND is the Land Area (square meters).AWATER: The AWATER is the Water Area (square meters).INTPTLAT: The INTPTLAT is the Latitude.INTPLON: The INTPLON is the Longitude.OFFICE_ID: The OFFICE_ID is the Office number of the corresponding district.BIOGUIDE_ID: The BIOGUIDE_ID is the Biographical Directory of the US Congress.OFFICE_AUDIT_ID: PREFIX: The Prefix is the Member's title.FIRSTNAME: The FIRSTNAME is the Member's first name.MIDDLENAME: The MIDDLENAME is the Member's middle name.LASTNAME: The LASTNAME is the Member's last name.SUFFIX: The SUFFIX is the Member's suffix.LISTING_NAME: The LISTING_NAME is the Member's last name and first name.PHONE: The PHONE is the last five digits in the office phone number to reach the Member.WEBSITEURL: The WEBSITEURL is the Member's website link.VACANT: The VACANT field is a 'Y' or 'N' for the Member's vacancy.CONTACTFORMURL: The CONTACTFORMURL is direct access to the Member's contact form.PHOTOURL: The PHOTOURL is the link to a photo of the Member.FACE_BOOK_URL: The FACE_BOOK_URL is a link to the Member's Facebook link.TWITTER_URL: The TWITTER_URL is the Member's Twitter link.YOUTUBE_URL: The YOUTUBE_URL is the Member's Youtube link.INSTAGRAM_URL: The INSTAGRAM_URL is the Member's Instagram link.FLICKR_URL: The FLICKR_URL is the Member's Flicker link.PARTY: The PARTY is the party that the Member represents.DISTRICT: The DISTRICT is the district number.VACANCY: ROOM_NUM: The ROOM_NUM is the Member's office room number.HOB: is the Room Code 'Cannon House Office Building', 'Longworth House Office Building', 'Rayburn House Office Building'.COMMITTEE_ASSIGNMENTS: The COMMITTEE_ASSIGNMENTS are the committees that the Member is assigned to.LAST_UPDATED:For more informationhttps://www.census.gov/programs-surveys/geography/technical-documentation/records-layout/gaz-record-layouts.htmlhttps://www.congress.gov/help/field-values/member-bioguide-idshttps://www2.census.gov/geo/pdfs/reference/LSADCodes.pdf

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.In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.The Incorporated Areas data includes both Incorporated Cities and Census Designated Places. The LSAD (Legal/Statistical Area Description) field can be used to filter for either of these distinctions (25 for Cities, 57 for Census Designated Place). LSAD codes can be found here: LSAD codesThe full Kansas geospatial catalog is administered by the Kansas Data Access & Support Center (DASC) and can be found at the following URL: https://hub.kansasgis.org/

The CDP boundary usually is defined by the Census Bureau in cooperation with state, local or tribal officials. The boundaries are updated prior to each decennial census. These boundaries, which usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity boundary, have no legal status, nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change from one decennial census to the next with changes in the settlement pattern; a CDP with the same name as in an earlier census does not necessarily have the same boundary. CDPs must be contained within a single state and may not extend into an incorporated place. There are no population size requirements for CDPs. incorporated CDP data is download from Census Bureau's TIGER 2020 website (https://www2.census.gov/geo/tiger/TIGER2020/PLACE/) and extracted for Los Angeles County. This data includes LA County 88 incorporated cities and 54 CDPs.Data Fields:GEOOID: ID field (combination of State code and place code)STATE: State code (06 for California)PLACE: City and CDP codeNAME: Place name (City and CDP name)LSAD: Type - City or CDPAREA: Area in US Acre.

Attribute SchemaSTATEFP: The STATEFP is the State fips code.CD119FP: The CD119FP is the Office number of the corresponding district.GEOID: The GEOID is a concatenation of the state fips code and the district number. GEOIDFQ: The GEOIDFQ attribute facilitates joining Census Bureau spatial data to Census Bureau summary file data from data.census.gov. It stands for the "Fully Qualified Geographic Identifier".NAMELSAD: The NAMELSAD is the Congressional District labeled name.LSAD: The LSAD is the Legal/Statistical Area Description.CDSESSN: The CDSESSN is the Congress District Session.MTFCC: The MTFCC is the MAF/TIGER Feature Class Code for "Congressional District".FUNCSTAT: The functional status (FUNCSTAT) code defines the current functional status of a geographic entityALAND: The ALAND is the Land Area (square meters).AWATER: The AWATER is the Water Area (square meters).INTPTLAT: The INTPTLAT is the Latitude.INTPLON: The INTPLON is the Longitude.OFFICE_ID: The OFFICE_ID is the Office number of the corresponding district.BIOGUIDE_ID: The BIOGUIDE_ID is the Biographical Directory of the US Congress.

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.Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.Fields (https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2013/TGRSHP2013_TechDoc_A.pdf, p. A-85)Field

Length

Type

Description

CSAFP

3

String

Current combined statistical area code, if applicable

CBSAFP

5

String

Current metropolitan statistical area/micropolitan statistical area code

GEOID

5

String

Metropolitan statistical area/micropolitan statistical area identifier, metropolitan statistical area/micropolitan statistical area code

NAME

100

String

Current metropolitan statistical area/micropolitan statistical area name

NAMELSAD

100

String

Current name and the translated legal/statistical area description for metropolitan statistical area/micropolitan statistical area

LSAD

2

String

Current legal/statistical area description code for metropolitan statistical area/micropolitan statistical area

MEMI

1

String

Current metropolitan/micropolitan status indicator

MTFCC

5 String MAF/TIGER feature class code (G3110)

ALAND

14

Number

Current land area

AWATER

14 Number Current water area

INTPTLAT

11

String

Current latitude of the internal point

INTPTLON

12

String

Current longitude of the internal point

The dataset contains polygons representing boundaries of District of Columbia 2022 election Wards. Boundaries include Census 2020 demographic data for population, age, race and housing. In the United States Census, Wards are the area name-Legal Statistical Area Description (LSAD) Term-Part Indicator for the District of Columbia.

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.Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.Fields (https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2013/TGRSHP2013_TechDoc_A.pdf, p. A-85)Field

Length

Type

Description

CSAFP

3

String

Current combined statistical area code, if applicable

CBSAFP

5

String

Current metropolitan statistical area/micropolitan statistical area code

GEOID

5

String

Metropolitan statistical area/micropolitan statistical area identifier, metropolitan statistical area/micropolitan statistical area code

NAME

100

String

Current metropolitan statistical area/micropolitan statistical area name

NAMELSAD

100

String

Current name and the translated legal/statistical area description for metropolitan statistical area/micropolitan statistical area

LSAD

2

String

Current legal/statistical area description code for metropolitan statistical area/micropolitan statistical area

MEMI

1

String

Current metropolitan/micropolitan status indicator

MTFCC

5 String MAF/TIGER feature class code (G3110)

ALAND

14

Number

Current land area

AWATER

14 Number Current water area

INTPTLAT

11

String

Current latitude of the internal point

INTPTLON

12

String

Current longitude of the internal point

URL from idinfo/citation in CSDGM metadata.

Small area data (SAD) on field crops show seeded and harvested area, yield and production estimates for most principal field crops and some special crops in Canada. Most SAD geographies correspond exactly with the Census Agriculture Region (CAR) limits, excepts for some regions of Quebec (where small areas are defined by provincial administrative boundaries), Saskatchewan (where small areas coincide with census divisions boundaries as of 2017) and British Columbia. For exact correspondence between Census Agricultural Regions (CAR) and Small Area Data (SAD) Regions, see the following link: https://www.statcan.gc.ca/eng/statistical-programs/document/3401_D2_V2 These regions are associated with Statistics Canada estimates on principal field crops available in the following table: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210000201

Comprehensive population and demographic data for 4 Sad Village

Comprehensive population and demographic data for 17 Sad Village

Comprehensive population and demographic data for 3 Sad Village

The SACS Tier 2 Economics Risk Assessment is an estimate of storm surge inundation risk to public and private property within the South Atlantic Division (SAD) area of responsibility (AOR). This includes all coastal and riverine areas within the zone of tidal influence in North Carolina (NC), South Carolina (SC), Georgia (GA), Florida (FL), Alabama (AL), Puerto Rico (PR), and the US Virgin Islands (VI). The risk is expressed as the expected annual damages (EAD) to structures and their contents described in dollars. Risks are described as a range between the EAD under existing sea level conditions (low) and the EAD assuming up to 3 ft of future sea level change (high) for the continental U.S. and 2.33 ft of sea level rise for Puerto Rico and the U.S. Virgin Islands. The EADs are presented in a geospatial format at the census block level. These results are initially aggregated to the census block level. Additional SACS Geospatial Data aggregates these values to the Place, County, and State/Territory. The primary use of this risk assessment is to help inform coastal storm risk management (CSRM) decisions regarding the relative distribution of economic risk over space. Other uses include trying to understand the rough order of magnitude range of economic risks associated with a CSRM problem or the achievable risk management from a CSRM measure or solution.The primary dimension of economic risk considered in this effort is storm surge (inundation) risk to infrastructure, public and private property. Damages are presented as consequences of annual exceedance probability (AEP) events and risks are presented as the expected annual damages for the series of storms. Damage values are reflective of structure and content depreciated losses expressed in 2018 price levels. The SACS Tier-II Economic Risk Assessment consists of surge damages to structure and content depreciated values by census block. The risk for CONUS areas was estimated using the FEMA flood loss mitigation model Hazus. Due to Hazus limitations, the FEMA FAST model was used to estimate storm surge risk for the OCONUS areas. Hazus (Hazus) is a multi-hazard loss estimation methodology developed by the Federal Emergency Management Agency (FEMA) for use by federal, state, region, local governments, and private enterprises in planning for risk mitigation, emergency preparedness, response, and recovery. Hazus uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impact of disasters. To assess potential impacts of coastal flooding as part of the South Atlantic Coastal Study (SACS) the Hazus Flood Model was applied. The analysis included only coastal flooding and omitted any riverine and precipitation contributions to flood water elevations. The Hazus methodology can be applied at any of three levels of analysis: (1) Level 1 – Relies on the extensive national databases embedded in the model. Applies default hazards, inventories, and damage functions. (2) Level 2 – Combines user specified local hazard, inventory, and damage functions with default databases. (3) Level 3 – Involves extensive user specified local hazard and inventory data as well as detailed engineering data. As the level of analysis increases, the level of effort and data sophistication also increases which the level of uncertainty decreases. Given the extent of the AOR a Level 1 analysis was applied.For additional information and detailed methodology on the HAZUS and FAST model inputs, please reference the Tier 2 Economic Risk Assessment Technical report located at the following link: https://www.sad.usace.army.mil/SACS/

Comprehensive population and demographic data for 1 Sad Village

Comprehensive population and demographic data for 6 Sad Village

Comprehensive population and demographic data for Moodiya Sad Village

Ovaj skup podataka uključuje finansijske izvještaje, račune i blokade, te nekretnine. Podaci uključuju prihode, rashode, dobit, imovinu, obaveze i informacije o nekretninama u vlasništvu kompanije. Finansijski podaci, finansijski sažetak, sažetak kompanije, preduzetnik, zanatlija, udruženje, poslovni subjekti.

Comprehensive population and demographic data for 10 Sad Village

Comprehensive population and demographic data for Sad(Kheria) Village