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Existing and Proposed Bikeways
data.oaklandca.gov | Last Updated 2023-02-07T21:53:51.000ZTo download a projected shapefile of this dataset, please click "Download Projected Shapefile: Existing and Proposed Bikeways" under "Attachments" below. Bikeways are corridors designated for bicycle travel. This layer includes Oakland’s Proposed Bikeway Network, streets proposed for bicycle improvements in Oakland's Bicycle Plan, as well as existing bikeways. Bikeways are defined by "class," each with specific characteristics (see Definition). The fields “Proposed Class” and “ExistingClass” show the proposed and current state of the network, based on these class definitions. For some existing bikeways, the proposed bikeway class is not the same as the existing class. Designations reflect existing and proposed bikeways as of December 31, 2022. This dataset was last updated February 7, 2023. Data is typically updated twice per year, in January and July. Class type (0, 0.0, 1, 1X, 2, 2.0, 2.3, 2.3A, 2.3B, 2B, 2B.0, 2B.2, 2B.3, 2B.3A, 3, 3.0, 3A, 3A.0, 3A.3, 3B, or 4, 4.2, 4.2B, and 4.3A) appears in the ProposedClass (ProposedCl) and ExistingClass (ExistingCl) fields. If the Class doesn't include a decimal point, the bikeway is existing (or proposed) on both sides of a two-way street or on one side of a one-way street. A decimal point indicates that there is a different class on each side of a two-way street. Class 1 = bike paths, paved rights-of-way that are completely separated from the street, and typically shared with pedestrians. (Class 1X denotes a path that is thought to be substandard, like the Posey Tube, due to width or other factors.) Class 2 & variants = bike lanes, lanes striped on streets and designated specifically for bicyclists. • Class 2 = bike lanes • Class 2.0 = bike lanes one side of the street, no facility one side of street • Class 2.3 = bike lanes one side of street, signage only bike route one side of street • Class 2.3A = bike lanes one side of street, sharrows one side of collector or arterial street • Class 2.3B = bike lanes one side of street, sharrows one side of local street • Class 2B = buffered bike lanes • Class 2B.0 = buffered bike lanes one side of street, no facility one side of street • Class 2B.2 = buffered bike lanes one side of street, bike lanes one side of street • Class 2B.3A = buffered bike lanes one side of the street, sharrows one side of street Class 3 = bike routes, streets on which bicyclists share travel lanes with drivers and are designated by wayfinding signage only. Routes with sharrows are designated as Class 3A. (One-way facilities on two-way streets are designated as 3.0 or 3A.0, respectively.) • Class 3B = neighborhood bike routes (AKA bike boulevards), bikeways on residential streets that prioritize through trips for bicyclists. Oakland’s Class 3B facilities are designated with pavement markings, traffic calming measures, and may have wayfinding signage. Class 4 = parking protected bikeways, striped on streets, separated from moving traffic by striped buffers and/or vertical elements (delineators, planters, curb). Variants include 4.2B and 4.2 for separated bike lanes on one side and buffered or plain bike lanes on the other side. Class 0 = no bikeway is proposed or existing, as applicable. (There are three sign-only segments that are currently existing, but not proposed.) Class 0.0 = no bikeway is existing but the street is ridable in it's current condition.
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existing and proposed bikeways
data.oaklandca.gov | Last Updated 2023-02-07T21:48:16.000ZBikeways are corridors designated for bicycle travel. This layer includes Oakland’s Proposed Bikeway Network, streets proposed for bicycle improvements in Oakland's Bicycle Plan (last updated July 2019) as well as existing bikeways. Bikeways are defined by "class," each with specific characteristics (see Definition). The fields “Proposed Class” and “ExistingClass” show the proposed and current state of the network, based on these class definitions. For some existing bikeways, the proposed bikeway class is not the same as the existing class. Designations reflect existing and proposed bikeways as of June 30, 2020 This dataset was last updated July 28, 2020. Data is typically updated in January and July. Class type (0, 1, 2, 2.0, 2.3A, 2B, 2B.0, 2B.3A, 2B.2, 3, 3.0, 3A, 3A.0, 3B, or 4, 4.2, 4.2B, 4.3A and 4.4.2B) appears in the ProposedClass (ProposedCl) and ExistingClass (ExistingCl) fields. If the Class doesn't include a decimal point, the bikeway is existing (or proposed) on both sides of a two-way street or on one side of a one-way street. A decimal point indicates that there is a different class on each side of a two-way street. Class 1 = bike paths, paved rights-of-way that are completely separated from the street, and typically shared with pedestrians. Class 2 & variants = bike lanes, lanes striped on streets and designated specifically for bicyclists. • Class 2 = bike lanes • Class 2.0 = bike lanes one side of the street, no facility one side of street • Class 2.3A = bike lanes one side of thre street, sharrows one side of street • Class 2B = buffered bike lanes • Class 2B.0 = buffered bike lanes one side of street, no facility one side of street • Class 2B.3A = buffered bike lanes one side of the street, sharrows one side of street • Class 2B.2 = buffered bike lanes one side of street, bike lanes one side of street Class 3 = bike routes, streets on which bicyclists share travel lanes with drivers and are designated by wayfinding signage only. Routes with sharrows are designated as Class 3A. (One-way facilities on two-way streets are designated as 3.0 or 3A.0, respectively.) • Class 3B = bike boulevards, bikeways on residential streets that prioritize through trips for bicyclists. Oakland’s Class 3B facilities are designated with pavement markings, traffic calming measures, and wayfinding signage. Class 4 = parking protected bikeways, striped on streets, separated from moving traffic by striped buffers and/or vertical elements (delineators, planters, curb). Variant include 4.2B for separated bike lanes on one side and buffered bike lanes on one side (etc.). Class 0 = no bikeway is proposed or existing, as applicable. (There are three sign-only segments that are currently existing, but not proposed.) The other fields in this dataset are listed below. However, they are no longer maintained and will be replaced within the coming months. For information on project status, see the online map at http://arcg.is/1PfvC1. Or contact bikeped@oaklandca.gov. Striping Status (Installed, Designed, InDesign) Signage Status (Installed, Designed, InDesign) Priority Project StripeInSt = month that a bikeway was first striped on this segment StripeIn_1 = year that a bikeway was first striped on this segment Signinstal = month that bike wayfinding signs were first installed SignInSt_1 = year that bike wayfinding signs were first installed SignType = MUTCD designation of installed signs
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Incarceration
data.oaklandca.gov | Last Updated 2020-11-10T16:11:47.455ZThe Incarceration Topic includes three Indicators that measure racial and ethnic disparities in adult felony arrests, jail incarceration, and prison incarceration. The first Indicator measures disparities in adult felony arrests between African Americans and Asians. The second Indicator measures disparities in jail incarceration between African Americans and Asians. The third Indicator measures disparities in prison incarceration between African Americans and Asians. In all three indicator areas the disparities between African American and White residents were nearly as large.
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Campaign Finance - FPPC Form 460 - Schedule F - Accrued Expenses (Unpaid Bills)
data.oaklandca.gov | Last Updated 2024-06-26T13:30:22.000ZThis dataset includes all itemized accrued expenses ($100 or more) e-filed on Fair Political Practices Commission (FPPC) Form 460 Schedule "F" Accrued Expenses (Unpaid Bills) from 2011 to the present. The data is current as of the last modified date on this dataset. See the data key for column definitions: https://data.sfgov.org/Ethics/Campaign-Finance-Data-Key/wygs-cc76
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Adult Felony Arrests
data.oaklandca.gov | Last Updated 2018-10-01T22:14:15.000ZThis Indicator measures the rate of adult felony arrests by race/ethnicity adjusted for population. Rate is calculated as the number of adult felony arrests per 100,000 people of each race/ethnicity that are 18 years of age and older. To determine the number of adults of each race/ethnicity in Oakland, we took the population by race/ethnicity for all ages and multiplied by the percent of Oakland’s population that is 18 and over (80.33%). This approach was necessary due to the lack of exact data available on the 18 and over population in Oakland by race/ethnicity.
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Stops
data.oaklandca.gov | Last Updated 2018-10-01T22:14:39.000ZThis Indicator measures the rate of discretionary stops per 1,000 people in Oakland by race/ethnicity. “In 2016 through 2017, officers were required to complete stop data forms after every discretionary detention or arrest, and discretionary encounters in which a search or request to search occurred. Discretionary stops and searches exclude detentions and arrests that occurred as the result of a dispatched call for service, a citizen request, or for stops occurring pursuant to search warrants.” (Source: Oakland Police Department’s 2016- 2017 Stop Data Report)
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Juvenile Felony Arrests
data.oaklandca.gov | Last Updated 2018-10-01T22:14:36.000ZThis Indicator measures the rate of felony arrests of juveniles by race/ethnicity adjusted for population. This Indicator is measured for Oakland. Rate is calculated as the number of juvenile felony arrests per 100,000 people of each race/ethnicity that are under 18 years of age. To determine the number of juveniles of each race/ethnicity in Oakland, we took the population by race/ethnicity for all ages and multiplied by the percent of Oakland’s population that is under 18 (19.67%). This approach was necessary due to the lack of exact data available on the under 18 population in Oakland by race/ethnicity.
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Parking Citations 2019
data.oaklandca.gov | Last Updated 2019-11-25T23:51:17.000ZParking citations in Oakland from 2019. Data has been cleaned of personal information but data entry errors still remain. Approximately ~92% of citation addresses matched when geocoded. Refer to Status and Score fields to determine estimated accuracy. Last updated: 11/25/2019
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Community Stressors
data.oaklandca.gov | Last Updated 2020-11-10T16:08:40.129ZThe Community Stressors Topic includes three Indicators that measure racial and ethnic disparities in domestic violence, homicides, and juvenile felony arrests. The first Indicator measures disparities in domestic violence victimization between African Americans and Asians. The second Indicator measures disparities in homicides between African Americans and Asians. The third Indicator measures disparities in juvenile felony arrests between African Americans and Whites.
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International BRT Parking and Curb Inventory
data.oaklandca.gov | Last Updated 2019-08-22T20:53:48.000ZFehr & Peers conducted a parking inventory and occupancy study in Oakland to support the ongoing International BRT project. The study area consisted of block faces within 1,500 feet of International Boulevard between 1st Avenue and Durant Avenue, a 6.8 mile-long corridor. Inventory and occupancy data was collected for over 2,500 block faces in February of 2018 between 11:00 AM and 3:00 PM. Block faces were selected for inclusion in the study if any portion of the block face was within 1,500 feet of International Boulevard between 1st Avenue and Durant Avenue. The total length of available parking on each block was collected for blocks with parallel parking, and a number of spaces was collected for those with angled or perpendicular parking. Spaces were further differentiated by metered, unmarked regular, commercial loading, passenger loading, and accessible spaces. Private access or otherwise reserved spaces were not included in the study. Data validation efforts included additional field visits to ground-truth the inventory data and ensure that the observed occupancies were typical, as well as comparisons of the inventory data to block face lengths to identify data entry errors. Certain block faces with identified data entry or collection errors were re-collected in subsequent field visits in March of 2018.