State, County and City FIPS (Federal Information Processing Standards) codes are a set of numeric designations given to state, cities and counties by the U.S. federal government. All geographic data submitted to the FRA must have a FIPS code.

This dataset was created to help users to go between County - State Name, State-County FIPS, City, or to ZIP Code. Most importantly, this dataset was created because we shouldn't have to pay for free & public data.

Assumptions - HUD uses the most up to date Zip Code boundaries from the USPS when they post their new Quarterly data. *ZIP Codes are updated on a regular basis. Here is an example announcement from the USPS. - City data only available from 2018 onward.

Data Sources

US HUD https://www.huduser.gov/portal/datasets/usps.html

Census Bureau The table data, direct link. This data is only updated once every census, 10 years. The details of the National County text file can be found here

USPS Zip to City Lookup More information can be found here. It's a free API from the USPS. Need to create a username to pull the data.

Data Dictionary

Files 2018 -> Newer - ZIP ZIP Code - STCOUNTFP US State & County FIPS ID - CITY City for that Zip/Fips Code - STATE US State - COUNTYNAME US County Name - CLASSFP FIPS Class Code, as defined by the Census

Files 2010-2017 - ZIP ZIP Code - COUNTYNAME US County Name - STATE US State - STCOUNTFP US State & County FIPS ID - CLASSFP FIPS Class Code, as defined by the Census

FIPS Class Code Details Source Copied 7/29/17

• H1 identifies an active county or statistically equivalent entity that does not qualify under subclass C7 or H6.
• H4 identifies a legally defined inactive or nonfunctioning county or statistically equivalent entity that does not qualify under subclass H6.
• H5 identifies census areas in Alaska, a statistical county equivalent entity.
• H6 identifies a county or statistically equivalent entity that is a really coextensive or governmentally consolidated with an incorporated place, part of an incorporated place, or a consolidated city.
• C7 identifies an incorporated place that is an independent city; that is, it also serves as a county equivalent because it is not part of any county, and a minor civil division (MCD) equivalent because it is not part of any MCD.

Acknowlegement

Foto von Annie Spratt auf Unsplash

Look up FIPS code lists from city and county FIPS codes to state FIPS codes, map ZIP codes to FIPS codes and CBSA codes. Free FIPS code lookup in a spreadsheet.

This dataset contains a listing of incorporated places (cities and towns) and counties within the United States including the GNIS code, FIPS code, name, entity type and primary point (location) for the entity. The types of entities listed in this dataset are based on codes provided by the U.S. Census Bureau, and include the following: C1 - An active incorporated place that does not serve as a county subdivision equivalent; C2 - An active incorporated place legally coextensive with a county subdivision but treated as independent of any county subdivision; C3 - A consolidated city; C4 - An active incorporated place with an alternate official common name; C5 - An active incorporated place that is independent of any county subdivision and serves as a county subdivision equivalent; C6 - An active incorporated place that partially is independent of any county subdivision and serves as a county subdivision equivalent or partially coextensive with a county subdivision but treated as independent of any county subdivision; C7 - An incorporated place that is independent of any county; C8 - The balance of a consolidated city excluding the separately incorporated place(s) within that consolidated government; C9 - An inactive or nonfunctioning incorporated place; H1 - An active county or statistically equivalent entity; H4 - A legally defined inactive or nonfunctioning county or statistically equivalent entity; H5 - A census areas in Alaska, a statistical county equivalent entity; and H6 - A county or statistically equivalent entity that is areally coextensive or governmentally consolidated with an incorporated place, part of an incorporated place, or a consolidated city.

BackgroundThis table contains State and County codes for all 50 States. One column contains a CalHHS Departmental "local" County code. This code is the numeric sequence of the 58 Counties in California. Many of the State systems (especially legacy systems) can only work with these legacy local County codes.FIPS Class Codes (CLASSFP)H1: Identifies an active county or statistically equivalent entity that does not qualify under subclass C7 or H6.H4: Identifies a legally defined inactive or nonfunctioning county or statistically equivalent entity that does not qualify under subclass H6.H5: Identifies census areas in Alaska, a statistical county equivalent entity.H6: Identifies a county or statistically equivalent entity that is coextensive in area or governmentally consolidated with an incorporated place, part of an incorporated place, or a consolidated city.C7: Identifies an incorporated place that is an independent of any county.Functional Status Codes (FUNCSTAT)A: Identifies an active government providing primary general-purpose functions.B: Identifies an active government that is partially consolidated with another government but with separate officials providing primary general-purpose functions.C: Identifies an active government consolidated with another government with a single set of officials.F: Identifies a fictitious entity created to fill the Census Bureau's geographic hierarchy.G: Identifies an active government that is subordinate to another unit of government.N: Identifies a nonfunctioning legal entity.S: Identifies a statistical entity

Spreadsheet of all U.S. ZIP Codes to Town, State, County, etc. Map ZIP codes to all overlapping places in a spreadsheet with ZIP codes to FIPS codes crosswalk.

Matched Continuum of Care (CoC) to FIPS codes for all principal cities from 2019-2022. FIPS data from Census designations and CoC data from HUD Point in Time and CoC designations (see sheet 3 for complete data sources and links).

The TIGER/Line Files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a State, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the State in which they are located. The boundaries for CDPs often are defined in partnership with State, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs for the 2010 Census is that they must contain some housing and population. The boundaries of all 2020 Census incorporated places are as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all 2020 Census CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP).STATEFP 2 String State FIPS codeCONCTYFP 5 String Consolidated city FIPS codeCONCTYNS 8 String Consolidated city GNIS codeGEOID 7 String Consolidated city identifier; a concatenation of current state FIPS code and consolidated city FIPS codeNAME 100 String Consolidated city nameNAMELSAD 100 String Name and the translated legal/statistical area description for consolidated cityLSAD 2 String Legal/statistical area description code for consolidated cityCLASSFP 2 String FIPS class codeMTFCC 5 String MAF/TIGER Feature Class Code (G4120)FUNCSTAT 1 String Functional statusALAND 14 Number Land areaAWATER 14 Number Water areaINTPTLAT 11 String Latitude of the internal pointINTPTLON 12 String Longitude of the internal poinhttps://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp_rd18/TGRSHPRD18_TechDoc.pdf

Polygons depict the boundaries of Washington State's incorporated municipalities, as recorded by the Washington State Office of Financial Management. Attributes include city names as provided by the Washington State Office of Financial Management, and Federal Information Processing Standard codes(FIPS) as provided by the National Institute of Standards and Technology. The Washington State Office of Financial Management provided FIPS codes for cities incorporated after the National Institute of Standards and Technology's FIPS code publication date. GNIS (Geographic Name Information System) codes provided by the Washington State Department of Revenue have been included for this quarter. For this particular update, all annexations approved by Office of Financial Management for First Quarter of 2022 are included. Please direct questions about this dataset to: TransportationGISDataSteward@wsdot.wa.gov.

Dataset Summary About this data: This layer presents the USA 2020 Census tracts within the City of Rochester boundary. The geography is sourced from US Census Bureau 2020 TIGER FGDB (National Sub-State) and cut by the City of Rochester boundary. Data Dictionary: STATE_ABBR: The two-letter abbreviation for a state (such as NY). STATE_FIPS: The two-digit Federal Information Processing Standards (FIPS) code assigned to each US state. New York State is 36. COUNTY_FIP: The three-digit Federal Information Processing Standards (FIPS) code assigned to each US county. Monroe County is 055. STCO_FIPS: The five-digit Federal Information Processing Standards (FIPS) code assigned to iedntify a unique county, typically as a concatenation of the State FIPS code and the County FIPS code. TRACT_FIPS: The six-digit number assigned to each census tract in a US county. FIPS: A unique geographic identifier, typically as a concatenation of State FIPS code, County FIPS code, and Census tract code. POPULATION: The population of a census tract. POP_SQMI: The population per square mile of a census tract. SQMI: The size of a census tract in square miles. Division: The name of the City of Rochester data division that the census tract falls in to. Source: This data comes from the Census Bureau.

Context

This is the 24th decennial US Census. The data was released on August 12, 2021 to public

Content

The dataset contains 12 GB of complete US Census data of 2020 of all 50 states. Column headers for each state file are given below:

FILEID File Identification STUSAB State/US-Abbreviation (USPS) SUMLEV Summary Level GEOVAR Geographic Variant GEOCOMP Geographic Component CHARITER Characteristic Iteration CIFSN Characteristic Iteration File Sequence Number LOGRECNO Logical Record Number GEOID Geographic Record Identifier GEOCODE Geographic Code Identifier REGION Region DIVISION Division STATE State (FIPS) STATENS State (NS) COUNTY County (FIPS) COUNTYCC FIPS County Class Code COUNTYNS County (NS) COUSUB County Subdivision (FIPS) COUSUBCC FIPS County Subdivision Class Code COUSUBNS County Subdivision (NS) SUBMCD Subminor Civil Division (FIPS) SUBMCDCC FIPS Subminor Civil Division Class Code SUBMCDNS Subminor Civil Division (NS) ESTATE Estate (FIPS) ESTATECC FIPS Estate Class Code ESTATENS Estate (NS) CONCIT Consolidated City (FIPS) CONCITCC FIPS Consolidated City Class Code CONCITNS Consolidated City (NS) PLACE Place (FIPS) PLACECC FIPS Place Class Code PLACENS Place (NS) TRACT Census Tract BLKGRP Block Group BLOCK Block AIANHH American Indian Area/Alaska Native Area/Hawaiian Home Land (Census) AIHHTLI American Indian Trust Land/Hawaiian Home Land Indicator AIANHHFP American Indian Area/Alaska Native Area/Hawaiian Home Land (FIPS) AIANHHCC FIPS American Indian Area/Alaska Native Area/Hawaiian Home Land Class Code AIANHHNS American Indian Area/Alaska Native Area/Hawaiian Home Land (NS) AITS American Indian Tribal Subdivision (Census) AITSFP American Indian Tribal Subdivision (FIPS) AITSCC FIPS American Indian Tribal Subdivision Class Code AITSNS American Indian Tribal Subdivision (NS) TTRACT Tribal Census Tract TBLKGRP Tribal Block Group ANRC Alaska Native Regional Corporation (FIPS) ANRCCC FIPS Alaska Native Regional Corporation Class Code ANRCNS Alaska Native Regional Corporation (NS) CBSA Metropolitan Statistical Area/Micropolitan Statistical Area MEMI Metropolitan/Micropolitan Indicator CSA Combined Statistical Area METDIV Metropolitan Division NECTA New England City and Town Area NMEMI NECTA Metropolitan/Micropolitan Indicator CNECTA Combined New England City and Town Area NECTADIV New England City and Town Area Division CBSAPCI Metropolitan Statistical Area/Micropolitan Statistical Area Principal City Indicator NECTAPCI New England City and Town Area Principal City Indicator UA Urban Area UATYPE Urban Area Type UR Urban/Rural CD116 Congressional District (116th) CD118 Congressional District (118th) CD119 Congressional District (119th) CD120 Congressional District (120th) CD121 Congressional District (121st) SLDU18 State Legislative District (Upper Chamber) (2018) SLDU22 State Legislative District (Upper Chamber) (2022) SLDU24 State Legislative District (Upper Chamber) (2024) SLDU26 State Legislative District (Upper Chamber) (2026) SLDU28 State Legislative District (Upper Chamber) (2028) SLDL18 State Legislative District (Lower Chamber) (2018) SLDL22 State Legislative District (Lower Chamber) (2022) SLDL24 State Legislative District (Lower Chamber) (2024) SLDL26 State Legislative District (Lower Chamber) (2026) SLDL28 State Legislative District (Lower Chamber) (2028) VTD Voting District VTDI Voting District Indicator ZCTA ZIP Code Tabulation Area (5-Digit) SDELM School District (Elementary) SDSEC School District (Secondary) SDUNI School District (Unified) PUMA Public Use Microdata Area AREALAND Area (Land) AREAWATR Area (Water) BASENAME Area Base Name NAME Area Name-Legal/Statistical Area Description (LSAD) Term-Part Indicator FUNCSTAT Functional Status Code GCUNI Geographic Change User Note Indicator POP100 Population Count (100%) HU100 Housing Unit Count (100%) INTPTLAT Internal Point (Latitude) INTPTLON Internal Point (Longitude) LSADC Legal/Statistical Area Descrip...

Polygons depict the boundaries of Washington State's incorporated municipalities, as recorded by the Washington State Office of Financial Management. Attributes include city names as provided by the Washington State Office of Financial Management, and Federal Information Processing Standard codes(FIPS) as provided by the National Institute of Standards and Technology. The Washington State Office of Financial Management provided FIPS codes for cities incorporated after the National Institute of Standards and Technology's FIPS code publication date. GNIS (Geographic Name Information System) codes provided by the Washington State Department of Revenue have been included for this quarter. The calendar date shown by Time_Period_Of_Content is the date of annexation approval and certification by the Washington State Office of Financial Management. Please direct questions about this dataset to: TransportationGISDataSteward@wsdot.wa.gov.

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 Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) using the permanent topological face identifier (TFID) attribute. The area hydrography feature to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Area Hydrography Shapefile (AREAWATER.shp) using the area hydrography identifier (HYDROID) attribute. A face may be part of multiple area water features. An area water feature may consist of multiple faces.

Related LayersThis dataset is part of a grouping of many datasets:Cities: Only the city boundaries and attributes, without any unincorporated areasWith Coastal BuffersWithout Coastal Buffers Counties: Full county boundaries and attributes, including all cities within as a single polygonWith Coastal BuffersWithout Coastal BuffersCities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.With Coastal BuffersWithout Coastal BuffersCity and County AbbreviationsUnincorporated Areas (Coming Soon)Census Designated Places (this dataset)2024 Census Designated PlacesCartographic CoastlinePolygonLine source (Coming Soon)State BoundaryWith Bay CutsWithout Bay Cuts Point of ContactCalifornia Department of Technology, Office of Digital Services, gis@state.ca.gov Field and Abbreviation DefinitionsSTATEFP: State FIPS code, in this case, California is 06.PLACEFP: Five digit FIPS place code.PLACENS: An assigned an eight-digit National Standard (NS) code.GEOID: Place identifier; a concatenation of the current state FIPS code and place FIPS codeGEOIDFQ: facilitates joining Census Bureau spatial data to Census Bureau summary file data from data.census.govNAME: Designated place name.NAMELSAD: describe the particular typology for each geographic entity.LSAD: Legal/ statistical area description.CLASSFP: defines the current FIPS class of a geographic entity.PCICBSA: Current metropolitan or micropolitan statistical area principal city indicator.MTFCC: (MAF/TIGER Feature Class Code) A five character code assigned by the Census Bureau intended to classify and describe geographic objects or features.FUNCSTAT: defines the current functional status of a geographic entity.ALAND: Current land area.AWATER: Current water area. INTPTLAT: Current latitude of the internal point. INTPTLON: Current longitude of the internal point. Offline UseThis service is fully enabled for sync and export using Esri Field Maps or other similar tools. Importantly, the GlobalID field exists only to support that use case and should not be used for any other purpose (see note in field descriptions). Updates and Date of ProcessingData updated to 2025 data as of 12/22/2025.2024 Census Designated Places data

Blocks are typically bounded by streets, roads or creeks. In cities, a census block may correspond to a city block, but in rural areas where there are fewer roads, blocks may be limited by other features. The Census Bureau established blocks covering the entire nation for the first time in 1990.There are less number of Census Blocks within Los Angeles County in 2020 Census TIGER/Line Shapefiles, compared in 2010.Updated:1. June 2023: This update includes 2022 November Santa Clarita City annexation and the addition of "Kinneloa Mesa" community (was a part of unincorporated East Pasadena). Added new data fields FIP_CURRENT to CITYCOMM_CURRENT to reflect new/updated city and communities. Updated city/community names and FIP codes of census blocks that are in 2022 November Santa Clarita City annexation and new Kinneloa Mesa community (look for FIP_Current, City_Current, Comm_Current field values)2. February 2023: Updated few Census Block CSA values based on Demographic Consultant inquiry/suggestions3. April 2022: Updated Census Block data attribute values based on Supervisorial District 2021, Service Planning Area 2022, Health District 2022 and ZIP Code Tabulation Area 2020Created: March 2021How This Data is Created? This census geographic file was downloaded from Census Bureau website: https://www2.census.gov/geo/tiger/TIGER2020PL/STATE/06_CALIFORNIA/06037/ on February 2021 and customized for LA County. New data fields are added in the census blocks 2020 data and populated with city/community names, LA County FIPS, 2021 Supervisorial Districts, 2020 Census Zip Code Tabulation Area (ZCTA) and some administrative boundary information such as 2022 Health Districts and 2022 Service Planning Areas (SPS) are also added. "Housing20" field value and "Pop20" field value is populated with PL 94-171 Redistricting Data Summary File: Decennial Census P.L. 94-171 Redistricting Data Summary Files. Similarly, "Feat_Type" field is added and populated with water, ocean and land values. Five new data fields (FIP_CURRENT to CITYCOMM_CURRENT) are added in June 2023 updates to accommodate 2022 Santa Clarita city annexation. City/community names and FIP codes of census blocks affected by 2022 November Santa Clarita City annexation are assigned based on the location of block centroids. In June 2023 update, total of 36 blocks assigned to the City of Santa Clarita that were in Unincorporated Valencia and Castaic. Note: This data includes 3 NM ocean (FEAT_TYPE field). However, user can use a definition query to remove those. Data Fields: 1. STATE (STATEFP20): State FIP, "06" for California, 2. COUNTY (COUNTYFP20): County FIP "037" for Los Angeles County, 3. CT20: (TRACTCE20): 6-digit census tract number, 4. BG20: 7-digit block group number, 5. CB20 (BLOCKCE20): 4-digit census block number, 6. CTCB20: Combination of CT20 and CB20, 7. FEAT_TYPE: Land use types such as water bodies, ocean (3 NM ocean) or land, 8. FIP20: Los Angeles County FIP code, 9. BGFIP20: Combination of BG20 and FIP20, 10. CITY: Incorporated city name, 11. COMM: Unincorporated area community name and LA City neighborhood, also known as "CSA", 12. CITYCOMM: City/Community name label, 13. ZCTA20: Parcel specific zip codes, 14. HD12: 2012 Health District number, 15. HD_NAME: Health District name, 16. SPA22: 2022 Service Planning Area number, 17. SPA_NAME: Service Planning Area name, 18. SUP21: 2021 Supervisorial District number, 19. SUP_LABEL: Supervisorial District label, 20. POP20: 2020 Population (PL 94-171 Redistricting Data Summary File - Total Population), 21. HOUSING20: 2020 housing (PL 94-171 Redistricting Data Summary File - Total Housing),22. FIP_CURRENT: Los Angeles County 2023 FIP code, as of June 2023,23. BG20FIP_CURRENT: Combination of BG20 and 2023 FIP, as of June 2023,24. CITY_CURRENT: 2023 Incorporated city name, as of June 2023,25. COMM_CURRENT: 2023 Unincorporated area community name and LA City neighborhood, also known as "CSA", as of June 2023,26. CITYCOMM_CURRENT: 2023 City/Community name label, as of June 2023.

This is a lookup table containing various data related to cities, townships, unorganized territories (CTUs) and any divisions created by county boundaries splitting them. These are termed Minor Civil Division (MCDs) by the Census Bureau. The table encompases the Twin Cities 7-county metropolitan area. It is intended to be a Council wide master lookup table for these entites. It contains official federal and state unique identifiers for CTUs and MCDs as well as identifiers created and used by other organizations. The table also contains historical MCDs dating back to the 1990s and a few other non-MCD records that are of importance to Met. Council use of this table.

The County CTU Lookup Table relates to the Counties and Cities & Townships, Twin Cities Metropolitan Area dataset here: https://gisdata.mn.gov/dataset/us-mn-state-metc-bdry-metro-counties-and-ctus

NOTES:

- On 5/28/2014 a new field was added to reflect the new community designations defined in the Council's Thrive MSP 2040 regional plan - COMDES2040

- On 3/17/2011 it was discovered that the CTU ID used for the City of Lake St. Croix Beach was incorrect. It was changed from 2394379 to 2395599 to match GNIS.

- On 3/17/2011 it was discovered that the CTU ID used for the City of Lilydale was incorrect. It was changed from 2394457 to 2395708 to match GNIS.

- On 11/9/2010 it was discovered that the CTU ID used for the City of Crystal was incorrect. It was changed from 2393541 to 2393683 to match GNIS.

- Effective April 2008, a change was made in GNIS to match the FIPS place codes to the "civil" feature for each city instead of the "populated place" feature. Both cities and townships are now "civil" features within GNIS. This means that the official GNIS unique ID for every city in Minnesota has changed.

- As of January 1, 2006, the five digit FIPS 55-3 Place codes that were used as unique identifiers in this dataset (CTU_CODE and COCTU_CODE fields) were officially retired by the Federal governement. They are replaced by a set of integer codes from the Geographic Names Information System (GNIS_CODE field). Both codes will be kept in this database, but the GNIS_CODE is considered the official unique identifier from this point forward. The GNIS codes are also slated to become official ANSI codes for these geographic features. While GNIS treats these codes as 6 to 8 digit integer data types, the Census Bureau formats them as 8 digit text fields, right justified with leading zeros included.

- The Census Bureau will continue to create FIPS 55 Place codes for new cities and townships through the 2010 Census. After that, no new FIPS 55 codes will be created. Note that for townships that wholly incorporate into cities, the same FIPS 55 code will be used for the new city. (GNIS creates a new ID for the new city.)

- Cities and townships have also been referred to as ''MCDs'' (a Census term), however this term technically refers to the part of each city or township within a single county. Thus, a few cities in the metro area that are split by county boundaries are actually comprised of two different MCDs. This was part of the impetus for a proposed MN state data standard that uses the ''CTU'' terminology for clarity.

- A variety of civil divisions of the land exist within the United States. In Minnesota, only three types exist - cities, townships and unorganized territories. All three of these exist within the Twin Cities seven county area. The only unorganized territory is Fort Snelling (a large portion of which is occupied by the MSP International Airport).

- Some cities are split between two counties. Only those parts of cities within the 7-county area are included.

- Prior to the 2000 census, the FIPS Place code for the City of Greenwood in Hennepin County was changed from 25928 to 25918. This dataset reflects that change.

The TIGER/Line Files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a State, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the State in which they are located. The boundaries for CDPs often are defined in partnership with State, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs for the 2010 Census is that they must contain some housing and population. The boundaries of all 2020 Census incorporated places are as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all 2020 Census CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP).STATEFP 2 String State FIPS codeCONCTYFP 5 String Consolidated city FIPS codeCONCTYNS 8 String Consolidated city GNIS codeGEOID 7 String Consolidated city identifier; a concatenation of current state FIPS code and consolidated city FIPS codeNAME 100 String Consolidated city nameNAMELSAD 100 String Name and the translated legal/statistical area description for consolidated cityLSAD 2 String Legal/statistical area description code for consolidated cityCLASSFP 2 String FIPS class codeMTFCC 5 String MAF/TIGER Feature Class Code (G4120)FUNCSTAT 1 String Functional statusALAND 14 Number Land areaAWATER 14 Number Water areaINTPTLAT 11 String Latitude of the internal pointINTPTLON 12 String Longitude of the internal poinhttps://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp_rd18/TGRSHPRD18_TechDoc.pdf

The database includes ZIP code, city name, alias city name, state code, phone area code, city type, county name, country FIPS, time zone, day light saving flag, latitude, longitude, county elevation, Metropolitan Statistical Area (MSA), Primary Metropolitan Statistical Area (PMSA), Core Based Statistical Area (CBSA) and census 2000 data on population by race, average household income, and average house value.

This polygon layer contains the boundaries of the 33 Census tracts that make up the City of Cambridge for the 2020 Census. Where appropriate, the boundary lines provided by the U.S. Census were adjusted by City staff to match those lines to such features as the City boundary, street centerlines, and parcel lines.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription STATEFP20 type: Stringwidth: 2precision: 0 2020 Census state FIPS code

COUNTYFP20 type: Stringwidth: 3precision: 0 2020 Census county FIPS code

TRACTCE20 type: Stringwidth: 6precision: 0 2020 Census tract code

GEOID20 type: Stringwidth: 12precision: 0 Census tract identifier; a concatenation of Current state FIPS code, county FIPS code, and census tract code

NAME20 type: Stringwidth: 7precision: 0 2020 Census tract name, this is the census tract code converted to an integer or integer with 2-decimals if the last two characters of the code are not both zeros.

NAMELSAD20 type: Stringwidth: 13precision: 0 2020 translated legal/statistical area description and the census tract name

MTFCC20 type: Stringwidth: 5precision: 0 MAF/TIGER Feature Class Code

FUNCSTAT20 type: Stringwidth: 1precision: 0 2020 functional status

ALAND20 type: Doublewidth: 8precision: 38 2020 land area (unadjusted - matches raw Census TIGER data)

AWATER20 type: Doublewidth: 8precision: 38 2020 water area (unadjusted - matches raw Census TIGER data)

INTPTLAT20 type: Stringwidth: 11precision: 0 2020 latitude of the internal point (unadjusted - matches raw Census TIGER data)

INTPTLON20 type: Stringwidth: 12precision: 0 2020 longitude of the internal point (unadjusted - matches raw Census TIGER data)

created_date type: Datewidth: 8precision: 0

last_edited_date type: Datewidth: 8precision: 0

blockgrouphomevalues # Context A home purchase is among the most import decisions, and potentially risk investments, in a person's life. Their choice can reflect interest in long term gains, housing costs and, in the U.S., part of the American Dream. Analytics of home values and rental costs, however, are commonly limited to highest level geographic aggregates and broad, even annual, periods of time. This publication produces a data file shared in the Block Groups Datasets dataverse hosted on https://dataverse.harvard.edu/dataverse/blockgroupdatasets. The data is shared under a Common Commons, open source license, without warranties, share alike, non commercial and by attribution. Method This publication attempts to cast home values down to U.S. Census block group geographies, by inheriting and averaging the measures from ZIP code level estimates. On the whole, block groups with a few hundred households are considerably smaller than ZIP code areas with several thousand. In addition, the two geographies are managed by separate Federal agencies, the U.S. Postal Service and the Census Bureau, so they are inherently dissimilar. The simplest method of projection involves overlaying the two geographies, having a block group inherit the estimates of the ZIP code level that covers it. When the block group spans ZIP code boundaries, an average is appropriate, weighted by land area lying in each parent. Data Zillow is recognized as an innovator in predicting home values, serving real estate agents, home buyers, and home sellers. Their research service publishes several estimates at a ZIP code level including measures of home value (Zillow Home Value Index ZHVI) and rental costs (Zillow Observed Rent Index ZORI). The ZHVI is broken down by housing type: single family homes and condominiums. And, each of their publications has monthly frequency dating, in some cases, to 2000. Block group geographic boundariess are maintained by the US Census' TIGER (Topologically Integrated Geographic Encoding and Referencing) publication. ZIP code boundaries are not generally published, but shared from a private company, Dotlas, in various retail marketing solutions. ZIP codes, also, have long been problematic for demographic analytics. Their boundaries span counties and states, so you cannot tiethem to familar geographies including Census tracts and block groups. The Census Bureau tries to address this by using ZIP Code Tabulation Areas (ZCTAs). These are coded very much like 5 digit ZIP codes and are equal to them most of the time. When A ZIP code geography crosses a county line, though, new ZCTAs are invented to represent each side of the split area. So, while ZIP codes cannot be aggregated, ZCTAs can total into counties, states, divisions and regions. The blockgrouphomevalues dataset offers the following columns: Column Data Type Description STATEFP string The 2-digit State FIPS code of the block group COUNTYFP string The 3-digit County FIPS code of the block group TRACTCE string The 6-digit Census Tract of the block group BLKGRPCE string The 1-digit Block Group of the block group GEOID string 12 digit concatenation of State, County, Tract and Block Group codes GEOIDFQ string The 'fully qualified' GEOID with US country prefix ALAND integer The land area if the block group in square meters AWATER integer The area if the block group, covered by water, in square meters INTPTLAT float Latitude of the block groups centroid point INTPTLON float Longitude of the block groups centroid point ZIP Codes Overlaying list List of the ZIP codes that overlay the block group ZHVI All Housing Types float Zillow Home Value Index, attributed to the block group, all housing types ZHVI Single Family Homes float Zillow Home Value Index, attributed to the block group, single family homes ZHVI Condos/Coops float Zillow Home Value Index, attributed to the block group, condominiums and cooperatively owned ZORI All Housing Types float Zillow Observed Rent Index, attributed to the block group Additional Notes When the Block Group Code BLKGRPCE is '0', that block group is under water. Block groups cover the Great Lakes, for example, making a confusing visual for chloropleth maps. To support visualization, the code also uses Census definitions of cities called Combined Statitical Areas, which group counties together. The CSA for New York includes 22 counties, distinguished as Central or Outlying. The Delineation Files publication includes the geographic IDs of state and county FIPS codes in each major city. Maps of these results may be visually biased. New York City and San Francisco Bay areas have extreme housing values, but they have small land areas. Denver by contrast has higher then median housing values with very large land areas. As a result, western Colorado looks like the dominating location of home values. When more than one ZIP code overlays a block group, values are attributed by the shared land area. This assumes that housing is uniform over...