This data layer describes the boundaries of water districts of King County. These are district boundaries which do not always coincide with service area boundaries.

Incorporated in February 1990, the City of SeaTac is located in the Pacific Northwest, approximately midway between the cities of Seattle and Tacoma in the State of Washington. SeaTac is a vibrant community, economically strong, environmentally sensitive, and people-oriented. The City boundaries surround the Seattle-Tacoma International Airport, (approximately 3 square miles in area) which is owned and operated by the Port of Seattle. For additional information regarding the City of SeaTac, its people, or services, please visit https://www.seatacwa.gov. For additional information regarding City GIS data or maps, please visit https://www.seatacwa.gov/our-city/maps-and-gis.

Mapping of Visible Surface Water (VSW), or water features not concealed by other objects (i.e., tree canopy, bridges, etc.), is an important component of landcover models. VSW is not intended to represent a full hydrography or show connectivity, like other available water datasets – like NHD – whose boundaries may include other landcover types (i.e., shrubs, trees, etc.). Each feature has been visually verified and given attributes by an analyst. This dataset is also unique in that it reflects surface water for a single year - 2017. A variety of funding sources acquired between 2019 and 2023 aided the completion of the dataset for the entire state of Washington. More information on the dataset, current data coverage, and applications can be found on our website: https://hrcd-wdfw.hub.arcgis.com/.

Tip: Try using the filter options on the data tab to limit your download to a single County or WRIA. The filtered download can take a substantial amount of time to initiate, so it may be necessary to download the full dataset if the filter option does not work.

No description is available. Visit https://dataone.org/datasets/%7BAED5E0C7-789F-4440-A8D1-CF35FB41545D%7D for complete metadata about this dataset.

Table from the American Community Survey (ACS) 5-year series on languages spoken and English ability related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B16004 Age by Language Spoken at Home by Ability to Speak English, C16002 Household Language by Household Limited English-Speaking Status. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B16004, C16002Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

No description is available. Visit https://dataone.org/datasets/%7B9B9A247B-85BB-410E-B221-F68B97658B80%7D for complete metadata about this dataset.

This layer displays Citywide Green Stormwater Infrastructure Best Management Practices (City-wide GSI BMP) and Citywide Green Stormwater Infrastructure projects (City-wide GSI Project). Citywide GSI BMP is sourced from CARTO.GSI_BMP_PT_PV. Labels are based on the attribute BMP. BMP codes listed in the BEST MANAGED PRACTICE (GB_BMP_TEXT) field are defined as follows:

Code Value

Text Value

BIO

Bioretention, infiltrating, installed by others

BIN

Bioretention, infiltrating, installed by SPU

BND

Bioretention, non-infiltrating, with detention

BSU

Biofiltration swale with underdrain

BSW

Biofiltration swale without underdrain

BUC

Bioretention swale, non-infiltrating, with underdrain in CSO basin

BUN

Bioretention Swale, non-infiltrating, with underdrain in non-CSO basin

CRG

Cistern to rain garden

CSS

Cistern on single family property

CST

Cisterns

DCD

Trees, deciduous, newly planted or retained

EVR

Trees, evergreen, newly planted or retained

GRE

Green roof—evapotranspiration component

GRF

Green roof—engineered soil media

PPS

Permeable paving surface

PPF

Permeable pavement facility

REM

Impervious surface removed

RGN

Rain garden

RWH

Rainwater harvesting

Purpose field attributes: Code Value Text Value

ART Agency-led Retrofit

CRT Community-led Retrofit

FC Stormwater Code Flow Control

FCO Stormwater Code Flow Control and On site Stormwater Management

FWO Stormwater Code Flow Control and Water Quality Control and On site Stormwater Management

FWQ Stormwater Code Flow Control and Water Quality

MEF Stormwater code Maximum extent Feasible - use through Dec 2014

OSR Stormwater code On site Stormwater Management requirements - use Jan 2015 forward

OTH Other

RW Rainwise

SGF Seattle Green Factor

VL Voluntary

WQO Stormwater Code Water Quality Control and On site Stormwater Management

WQO Stormwater Code Water Quality Control Funder Field: Code Value Text Value

CO Community organization

CON Contractor

DPR Parks and Recreation

DPS Parks and Recreation/SPU

KC King County

OTH Other

POS Port of Seattle

PPP Public / Private Partnership

PRV Private

SCL Seattle City Light

SDT Seattle Department of Transportation

SPU Seattle Public Utilities

STA State of Washington

SWC Stormwater Code

UNK Unknown

UW University of Washington Citywide GSI Project displays the data from CARTO.GSI_PT_PV. The labels are based on the attribute PROJECT NAME.

This data will not display when zoomed out beyond 1:3,000.

Seattle Executive Order 2013-01 and City Council Resolution 31459 direct City departments to coordinate to develop an implementation strategy for managing 700 million gallons of stormwater annually with green stormwater infrastructure approaches by 2025. These data on the location, purpose, funder, install year, and best managed practices of GSI installations in Seattle are gathered and integrated for comprehensive Citywide tracking and reporting at the project level.

Updated weekly.

No description is available. Visit https://dataone.org/datasets/%7B390651B9-2D41-42B4-B8F8-9724ABCFA303%7D for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/%7BF23AD682-E2F8-43FD-A0DC-CEA9FD1E8331%7D for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/%7BE38F3728-5B7C-4912-BFDA-B3AC09C39673%7D for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/%7B56858C08-8053-4B28-8616-F941EBD6B9DC%7D for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/%7B18A0F2CC-04D8-44EA-A3A4-64086F2908FF%7D for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/%7BF1B5337C-6181-42A0-B0F4-66659651A1ED%7D for complete metadata about this dataset.

The water temperature data in this accession was collected from the ship Pac Merchant by National Ocean Service (NOS), Seattle, WA. The Bathythermograph data were collected from August 1989 to November 1989 and was submitted by Robert Decker. The data is available in two files in the C116 Bathythermograph XBT format of NODC.

No description is available. Visit https://dataone.org/datasets/%7BE0302244-06B4-40C1-B45F-2DC809B3176A%7D for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/%7B93812441-5EDE-421E-BDF5-5EEB162B6B86%7D for complete metadata about this dataset.