This layer shows total trips by mode and their corresponding emissions across different neighborhoods in Seattle. The data is mapped to census tracts.

This layer shows total trips by mode and their corresponding emissions across different neighborhoods in Seattle. The data is mapped to census tracts. The data in this layer has been populated using an output from the Puget Sound Regional Council's (PSRC's) regional travel demand model. This model is updated only once every few years and is therefore not ideal for frequent data updates. The City is working on procuring more frequent measured travel data from alternate sources. For more information please visit the One Seattle Climate Portal item description page.

This dataset contains income restricted housing units across the 4-county PSRC region (King, Kitsap, Pierce, and Snohomish Counties). They are summarized here by county, and then grouped into various AMI (area median income) bands. A breakdown of unit size by number of bedrooms is also included. This dataset was updated May 1, 2025 to capture improvements in the geographic placement of properties, and corrections to the unit counts for some properties in Snohomish CountyAll jurisdictions within the 4-county PSRC region are included, even those with zero income restricted units. Note that while we attempt to capture all income restricted units in the region, the IRHD (Income Restricted Housing Database) is not an exhaustive list. Some properties also include units that are not income restricted - it was not always possible to disaggregate these units. For example, the bedroom size data includes some market rate units. Where the data was available in King County, units created through various incentive programs were included, such as IZ (incentive zoning), MHA (Mandatory Housing Affordability) and MFTE (Multi Family Tax Exemption) units. Units created under these programs across the region are undercounted due to data availability.

PSRC utilizes assessor data extracts for King, Kitsap, Pierce, and Snohomish counties to estimate housing development at the parcel level for each year in this time series. The methodology utilizes variables that identify Residential Uses, Number of Units, and Number of Buildings together with a Year Built variable to estimate new housing units built annually by structure type. The most current vintage of residential assessor records are then related back to a base year record set to determine what type of development took place on a given parcel. Development activity types tracked are: 'New Development', 'Redevelopment', and 'Rebuild/Remodels'. For Redevelopment and Rebuild/Remodels, base year unit counts are categorized as 'Demolitions' and subtracted from the inventory to calculate net change. The annual net housing unit estimates are summarized by county, jurisdiction, and census tract. The starting year in the time series will vary by county due to base year datasets differing from county to county. The time series for each county is as follows: King County: 2010-2023 Kitsap County: 2010-2023 Pierce County: 2012-2023 Snohomish County: 2011-2023
A new time series will be processed and published each year. Please note the estimates may shift from version to version due to updates in the data inputs and methodology refinements. Group Quarter Facilities are omitted from the final estimates. Unit counts for Mobile Home Parks are held constant except when an existing park is closed or redeveloped or a new park is opened. The 'Single-Family Attached' structure type category is defined in each county by the following: King: 'Townhouse Plat' present use category in the parcel table Kitsap: House type code '146 Townhouse' in the dwellings table Pierce: Built-As IDs 61, 65, and 68 in the improvements built-as table Snohomish: Property Class Codes 116 and 142 in the master table Missing Unit/Building Counts Housing unit and building counts are not available in the Snohomish County assessor datasets. Unit counts for single family parcels were assumed to = 1. Unit counts for multi-family parcels were populated by using utility hookup counts from the Snohomish County Public Utilities District (PUD). Building counts were populated by using a mix of utility customer property data and structure type information. Kitsap: Unit counts are accessed through a supplemental data request to the Kitsap County Department of Community Development

This layer shows total trips by mode and their corresponding emissions across different neighborhoods in Seattle. The data is mapped to census tracts.

This dataset contains income restricted housing units across the 4-county PSRC region (King, Kitsap, Pierce, and Snohomish Counties). They are summarized here by county, and then grouped into various AMI (area median income) bands. A breakdown of unit size by number of bedrooms is also included.All jurisdictions within the 4-county PSRC region are included, even those with zero income restricted units. Note that while we attempt to capture all income restricted units in the region, the IRHD (Income Restricted Housing Database) is not an exhaustive list. Some properties also include units that are not income restricted - it was not always possible to disaggregate these units. For example, the bedroom size data includes some market rate units. Where the data was available in King County, units created through various incentive programs were included, such as IZ (incentive zoning), MHA (Mandatory Housing Affordability) and MFTE (Multi Family Tax Exemption) units. Units created under these programs across the region are undercounted due to data availability.

This dataset contains income restricted housing units across the 4-county PSRC region (King, Kitsap, Pierce, and Snohomish Counties). They are summarized here by county, and then grouped into various AMI (area median income) bands. A breakdown of unit size by number of bedrooms is also included. This dataset was updated May 1, 2025 to capture improvements in the geographic placement of properties, and corrections to the unit counts for some properties in Snohomish CountyAll jurisdictions within the 4-county PSRC region are included, even those with zero income restricted units. Note that while we attempt to capture all income restricted units in the region, the IRHD (Income Restricted Housing Database) is not an exhaustive list. Some properties also include units that are not income restricted - it was not always possible to disaggregate these units. For example, the bedroom size data includes some market rate units. Where the data was available in King County, units created through various incentive programs were included, such as IZ (incentive zoning), MHA (Mandatory Housing Affordability) and MFTE (Multi Family Tax Exemption) units. Units created under these programs across the region are undercounted due to data availability.

Emergency care services face increasing pressure. NHS England (NHSE) has prioritised pathways for patients which avoid admission, including Same Day Emergency Care (SDEC) services. The NHS Long Term Plan recommends SDEC assessment for one third of medical attendances. The impact of these new care models for older adults is as yet unknown, but data from the Society for Acute Medicine suggests older adults may benefit less from these pathways.

​Care quality indicators (CQI) include times from arrival to assessment by senior clinical teams. Performance measured against these CQI are impacted by other factors, such as delays in referrals, awaiting investigation results.​ 

PIONEER has curated a highly granular dataset of 4,617 Same Day Emergency Care (SDEC) spells for patients aged 65 and older. This dataset includes detailed patient-level information such as demography, comorbidities, presenting symptoms, serial physiology, investigations, treatments, and outcomes. Additionally, it provides data on the wider clinical environment on the day of admission, offering valuable insights into the care pathways and systemic factors influencing outcomes for older adults in SDEC settings.

Geography:The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Data set availability:Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details. Available supplementary data:Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements. Available supplementary support:Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size