The non-urban land use zoning map of the 18 directly-administered cities and counties (cities) of New Taipei City and others

Future land use is intended to illustrate the general location and distribution of the various categories of land uses anticipated by the Comprehensive Plan policies over the life of this plan. It is not intended to provide the basis for rezones and other legislative and quasi-judicial decisions, for which the decision makers must look to the Comprehensive Plan policies and various implementing regulations.

This map may be amended annually as part of the regular comprehensive plan update process.

See the data in action in this web app.

The interactive zoning map allows users to determine the zoning classification for any property in the District. Users can search zoning by specific address, square and lot, parcel, Zoning Commission (ZC) case, or Planned Unit Development (PUD), where applicable. Users can select different layers of data to display on the map, and can print reports for any selected property. Users should note that when searching for a PUD, the ZC case name and ZC case number reflect the most recent case name and case number associated with the PUD. If you have questions, comments, or suggestions regarding the zoning map, contact the Office of Zoning at (202) 727-6311 or dcoz@dc.gov.

Composite map of Future Land Use. This is a pdf document.

This dataset (2017-2023) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- Northwest Florida Water Management District (NWFWMD) 2022.Bay (1/4/2022 – 3/24/2022), Calhoun (1/7/2022 – 1/18/2022),Escambia (11/13/2021 – 1/15/2021), Franklin (1/7/2022 – 1/18/2022), Gadsden (1/7/2022 – 1/16/2022), Gulf (1/7/2022 – 1/14/2022), Holmes (1/8/2022 – 1/18/2022), Jackson (1/7/2022 – 1/14/2022), Jefferson (1/7/2022 – 2/16/2022), Leon (February 2022), Liberty (1/7/2022 – 1/16/2022), Okaloosa (10/31/2021 – 2/13/2022), Santa Rosa (10/26/2021-1/17/2022), Wakulla (1/7/2022 – 1/14/2022), Walton (1/7/2022-1/14/2022), Washington (1/13/2022 – 1/19/2022).Suwannee River Water Management District (SRWMD) 2019-2023.(Alachua 20200102-20200106), (Baker 20200108-20200126), (Bradford 20181020-20190128), (Columbia 20181213-20190106), (Gilchrist 20181020-20190128), (Levy 20181020-20190128), (Suwannee 20181217-20190116), (Union 20181020-20190128).(Dixie 12/17/2021-01/29/2022), (Hamilton 12/17/2021-01/29/2022), (Jefferson 01/07/2022-02/16/2022), (Lafayette 12/17/2021-01/29/2022), (Madison 12/17/2021-01/29/2022), (Taylor 12/17/2021-01/29/2022.Southwest Florida Water Management District (SWFWMD) 2020. South Florida Water Management District (SFWMD) 2021-2023.St. John's River Water Management District (SJRWMD) 2020.Year Flight Season Counties:2020 (Dec. 2019 - Mar 2020) Alachua, Baker, Clay, Flagler, Lake, Marion, Osceola, Polk, Putnam.2021 (Dec. 2020 - Mar 2021) Brevard, Indian River, Nassau, Okeechobee, Orange, St. Johns, Seminole, Volusia. 2022 (Dec. 2021 - Mar 2022) Bradford, Union. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences by each of the Water Management Districts.

Historic land uses on lots that were vacant, privately owned, and zoned for manufacturing in 2009. Information came from a review of several years of historical Sanborn maps over the past 100 years. When the SPEED 1.0 mapping application was created in 2009, OER had its vendor examine historic land use maps on vacant, privately-owned, industrially-zoned tax lots. Up to seven years of maps for each lot were examined, and information was recorded that indicated industrial uses or potential environmental contamination such as historic fill. Data for an additional 139 lots requested by community-based organizations was added in 2014. Each record represents the information from a map from a particular year on a particular tax lot at that time. Limitations of funding determined the number of lots included and entailed that not all years were examined for each lot.

Thoughtful and effective planning enables a city to grow responsibly while providing the community with a variety of opportunities to live, work, and enjoy an environment. Good planning plays a vital role in shaping the future of Long Beach by providing the perfect balance of new development, community preservation, essential services, and economic growth. This map shows two key layers to planning: zoning and land use. It also includes historic districts and parking impacted areas. This map is used in the Zoning and General Plan web mapping application.Zoning Regulations divide the City into districts within which the location, height and bulk of buildings or structures and the uses of buildings, structures or land are regulated as specified. The municipal code defines zoning in Chapter 21.30. The Long Beach General Plan is a policy document that sets forth the goals, policies, and directions the City will take to achieve the vision of the community. The Land Use layer shown in this map is from the Land Use Element established in 1989.The Parking Impacted Area was developed through an extensive parking survey conducted with the help of a consultant to determine residential areas in which at least 75% of the on-street parking spaces were occupied at night.Historic districts are areas containing groups of older houses that are intact and unaltered. While each building may not be individually worthy of landmark status, collectively they preserve the visual qualities and ambiance of the past. Streetscape features, such as trees or light standards, may contribute to the historic value of the district.For more information, please see the Community Development Department website. Map updated 11/2019.

City of Tempe Zoning and Overlay District map. Users may toggle between viewing all zones and individual overlay districts in the operational layers list. The Zoning and Development Code (ZDC) establishes land use classifications; creates zoning districts; establishes regulations, prohibitions and restrictions on land use and development; governs the use of land for residential and non-residential purposes; regulates the height and bulk of buildings and other structures; regulates lot occupancy and the size of yards and other open spaces; establishes standards of performance and design; adopts a map of the zoning districts; creates boards and commissions for land use and development decisions and defines the powers and duties of the boards and commissions; prescribes procedures for amendments to the General Plan, the ZDC, zoning map, use permits, development plan and land division approvals, variances and other permits; and prescribes penalties for violations of the ZDC.Zoning Code Information:City of Tempe Zoning and Development Code

Future Land Use designation based on zoning dataset. It shows the categories of land uses desired over time, and their intensities. The map reflects the land uses that correspond to the long term vision, goals and policies expressed in the master plan, and it constitutes the most direct link between the Master Plan and the Comprehensive Zoning Ordinance. It is important to note, however, that the Future Land Use Map is not a zoning map and it does not govern design or function.Zoning regulates land use to promote smart growth and preserve the quality of life in communities. Permitted Use are allowed by right, subject to compliance with appropriate standards. Conditional Use require City Planning Commission review with a recommendation forwarded to the City Council for final action.

The National Zoning Atlas is a collaborative project digitizing, demystifying, & democratizing ~30,000 U.S. zoning codes. It was founded by Cornell University professor Sara Bronin and has involved over 300 zoning and geospatial analysts. WHAT: Zoning laws, adopted by perhaps 30,000 local governments across the country, dictate much of what can be built in the United States. The National Zoning Atlas is helping us better understand these sometimes-opaque but incredibly influential laws by depicting their key attributes in an online, user-friendly map. As a federated academic enterprise, the National Zoning Atlas encompasses several disciplines. It is a legal research project, as it delves deeply into the regulatory frameworks that dictate so much of the way we use our land. It is a data science project, and it deploys novel systems of collecting, analyzing, and displaying geospatial and regulatory data. It is a digital humanities project, innovative in its methodology and having the potential to unlock new research on the central instrument that shapes our urban built environment, social relations and hierarchies, and geographies of opportunity. It is a social science project that will improve our understanding of our politics, society, and economy - and expand our collective ability to reimagine future, alternative, and reparative trajectories. And it is a computer science project, deploying machine learning and natural language processing to expand our understanding of how algorithms can read complex regulatory texts. WHY: Zoning laws have direct impacts on housing availability, transportation systems, the environment, economic opportunity, educational opportunity, and our food supply. Despite codes’ importance, ordinary people can’t make heads or tails of them. They are too complex and inscrutable. The National Zoning Atlas will help people better understand zoning, which would in turn broaden participation in land use decisions, identify opportunities for zoning reform, and narrow a wide information gap that currently favors land speculators, institutional investors, and homeowners over socioeconomically disadvantaged groups. It would also enable comparisons across jurisdictions, illuminate regional and statewide trends, and strengthen national planning for housing production, transportation infrastructure, and climate response. To understand the kinds of things a zoning atlas can show, review this research paper documenting the findings of the Connecticut Zoning Atlas (the first statewide atlas) and this research paper in HUD Cityscape describing the motivations of the project. HOW: To date, this project has relied on manual reviews of thousands of pages of zoning code texts and their corresponding maps. A how-to guide for these reviews is available for free download. The project is also using grant funding from the National Science Foundation and the U.S. Department of Housing and Community Development Community Block Grant Disaster Recovery Program to automate this process so we can more quickly map the 30,000 localities estimated to use zoning. Our basic operating principles are: Deploy data for the public good ​Evaluate and adapt methods and approaches ​Collaborate broadly ​Cultivate up-and-coming talent ​Assume that this is a solvable problem, worth solving ​WHO: Project participants overwhelmingly include representatives of academic institutions, nonprofits, and government agencies, with students providing important support. In addition, private partners may participate on specific geographic teams or provide data. Because this project aims to expand knowledge for the public good, its resulting online atlases will remain free to view regardless of who pitches in to create them.

Note: This map is not an official zoning map. For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and InspectionsA polygon feature class showing current City of Seattle land use zoning areas. It provides information on the type of zoning, overlay districts, enacting ordinance numbers and effective dates.Zoning Code governs the use and development of land in Seattle. Zoning districts specify a category of uses (e.g., single-family residential, multifamily residential, commercial, industrial, etc.) including specific overlays and are applied by ordinance. Symbolized on the value DETAIL_DESC (group 28 categories).

Zoning and Land Use Controls Map The Zoning and Land Use Controls Map identifies the distinct zoning boundaries within the Ashland City Limits. To encourage the most appropriate and efficient use of lands and to accommodate orderly growth consistent with the Ashland Comprehensive Plan, the zoning designation of each parcel provides for the type of developments permitted. The Ashland Land Use Ordinance, Chapter 18, is the implementing document which outlines all permitted or conditional uses allowable within a given zone.

Map showing land uses in the City of Austin jurisdictions. Upated during October of even years.

Land Use Zoning Districts in San Jose, CA.

The following data is provided as a public service, for informational purposes only. This data should not be construed as legal advice. Users of this data should independently verify its determinations prior to taking any action under the California Environmental Quality Act (CEQA) or any other law. The State of California makes no warranties as to accuracy of this data. General plan land use element data was collected from 532 of California's 539 jurisdictions. An effort was made to contact each jurisdiction in the state and request general plan data in whatever form available. In the event that general plan maps were not available in a GIS format, those maps were converted from PDF or image maps using geo-referencing techniques and then transposing map information to parcel geometries sourced from county assessor data. Collection efforts began in late 2021 and were mostly finished in late 2022. Some data has been updated in 2023. Sources and dates are documented in the "Source" and "Date" columns with more detail available in the accompanying sources table. Data from a CNRA funded project, performed at UC Davis was used for 7 jurisdictions that had no current general plan land use maps available. Information about that CNRA funded project is available here: https://databasin.org/datasets/8d5da7200f4c4c2e927dafb8931fe75dIndividual general plan maps were combined for this statewide dataset. As part of the aggregation process, contiguous areas with identical use designations, within jurisdictions, were merged or dissolved. Some features representing roads with right-of-way or Null zone designations were removed from this data. Features less than 4 square meters in area were also removed.

Spatially-complete zoning map of North Carolina, USA. The results folder contains results of a machine learning (random forest) model predicting 3 core district zones (residential, non-residential, and mixed use) and 13 sub-district zones (open space, industrial, commercial, office, planned use, high-density residential, medium-high-density residential, medium-density residential, medium-low-density residential, low-density residential, agricultural residential, mixed use, and downtown). Results are provided as 30-m rasters (.tif) with each value corresponding to a zoning district. Table containing zone district ID (number) and zone district name (character string) is included in zone_classification.csv. Final (spatially complete statewide maps) can be found in the final_predicted folder. This folder includes Statewide core district results in NC_predicted_core.tif and statewide sub-district results in NC_predicted_sub.tif.

Zoning was generalized and reclassified into 3 core district zones and 13 sub-district zones (described above). Reclassified zoning data, collected from 39 counties in North Carolina is provided in the observed folder with core districts in core_district_observed_zones.tif and sub-districts in sub_district_observed_zones.tif. Also in this folder is zoning_implementation_NC.csv which includes links to the source data (zoning map and zoning ordinance) for all collected data.

Two models were created to predict zones under different data availability scenarios (i.e., scenarios that assume different levels of data availability). Predictions labeled “within_county” utilized the within-county model which predicts zoning districts in areas where zoning data is partially available for that county. To approximate scenarios of incomplete data accessibility, 20% of the data was randomly removed from training and reserved for independent performance assessments. Predictions labeled “between-county” utilized the between-county model which predicts zoning districts in areas where zoning data is inaccessible. To approximate this scenario, multiple between-county model iterations were computed by randomly removing entire counties from the training dataset and computing performance metrics on the removed (test) counties. Predictions are provided for both core districts and sub-districts (described above). Results from these models can be found in the predicted folder. This folder contains four subfolders: core_district_within_county, sub_district_within_county, core_district_between_county, and sub_district_between_county. Within each of these folders are predicted maps 30-m raster (.tif), performance reports including precision, recall, and f1 score overall and per district (.csv), and accuracy maps (3-km grid shapefile [.shp, .shx, .prj, .dbf]) with values corresponding to the proportion of misclassified pixels within a grid cell. Multiple randomized testing county samples were conducted for the between-county models. Each random sample is labeled r*_ where * is replaced with a number between 1 and 15.

This data identifies current as well as proposed zoning and land use designations that are adopted by ordinances for unincorporated Pierce County. Zoning for cities is not included in this dataset. Zones are adopted by ordinances with specific technicalities for each community. Land Use designations offer a broad spectrum of allowable uses within a community. It is used to create a Comprehensive Plan Map or used for a Generalized Proposed Land Use Map or GPLUM. This dataset is also used to create the Land Use Designations theme, which covers proposed zoning use. The meaning of proposed is that the property might not be currently used for the purpose stated. It should be noted that Council adopted amendments to land use designations/zoning that will be effective at the beginning of 2006. Also, the Council is in the process of adopting the Mid-County Community Plan which amends land use designations/zoning as well. The Cities polygons found in the zoning data does not necessarily match the current cities boundaries. This is because the zoning data is updated once a year per the "Pierce County Comprehensive Plan" and does not allow for changes to be made during the year. The Comprehensive Plan is generally updated in November and generally becomes effective the following March. Use the "Cities in Pierce County" data set to determine current city boundaries. City boundaries can change more often than the current adopted Pierce County Zoning data. The zoning data contains the "Cities in Pierce County" boundaries at the time that the Pierce County Zoning was adopted. When determining the current zoning of a parcel near a city, the current "Cities in Pierce County" data set needs to be reviewed. Zoning codes for parcels within incorporated cities are determined by the city that the parcel is within. Please read metadata for additional information (https://matterhorn.piercecountywa.gov/GISmetadata/pdbplan_zoning.html). Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/disclaimer/PierceCountyGISDataTermsofUse.pdf).

Note: This map is not an official zoning map. For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and InspectionsCity of Seattle's land use zoning overlay areas for specific regulation purposes.

[Metadata] Summary: County Zoning for the Island of Maui as of October 2023. Source: County of Maui. Description: Island of Maui Land Use Zoning Designations, Maui County Code, Chapter 19, Zoning. Created by Maui County Planning Department from various Land Zoning maps and comprehensive zoning ordinances as of October 2023. For more information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/cty_zoning_mau.pdf or contact the Maui County Planning Department at planning@mauicounty.gov or the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.This data layer is intended to be used as a guide for planning purposes only and should not be used for boundary interpretations or other spatial analysis beyond the limitations of the data. Final confirmation of zoning must be provided by the County of Maui Department of Planning. The County of Maui shall have no other liability with regard to the digital zoning map. The County of Maui does not warrant that the map will meet the requirements of users or that the map will be error free, or that map defects will be corrected. The entire risk as to the quality and usefulness of the map and zoning designations and the entire risk arising out of the use or performance of this map and documentation rests with the user. In no event shall the County of Maui, or anyone else involved in the creation, production or delivery of this map, be liable for any damages whatsoever whether in contract or in tort, including but not limited to lost profits, lost savings, lost data, business interruption, computer failure or malfunction, or other pecuniary loss or any direct, indirect or incidental damages or other economic consequential damages, or for any claim or demand against the County of Maui by any other party, arising out of the use or inability to use this map, even if the County of Maui, or anyone else involved in the creation, production or delivery of this map, has been advised of the possibility of such damages.The limitation of remedies described in this Section also apply to any third-party supplier of materials to the County of Maui. The limitations of liabilities of the County of Maui and its third-party suppliers are not cumulative. Each such third-party supplier is an intended beneficiary of this Section.While the County of Maui has made every effort to offer the most current and correct information as possible, inadvertent errors in information are possible and said Zoning Map is not guaranteed and without warranty of any representation. Please contact the Planning Department’s Zoning and Administration Division at (808) 270-7253 if you believe there is an error with the map or have questions or concerns.

[Metadata] Description: Agricultural Land Use Maps (ALUM) for islands of Kauai, Oahu, Maui, Molokai, Lanai and Hawaii as of 1978-1980. Sources: State Department of Agriculture; Hawaii Statewide GIS Program, Office of Planning. Note: August, 2018 - Corrected one incorrect record, removed coded value attribute domain.For more information on data sources and methodologies used, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/alum.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.