This dataset contains American Community Survey (ACS) data aggregated by ward. The current ACS vintage is for 2019-2023. Values are calculated by aggregating all the census tracts that fall within a given ward. If a census tract falls across two or more wards, the ward which contains most of the census tract's blocks is assigned said tract. Click here to learn more about how this process works.Update FrequencyThis dataset is updated annually when the new ACS vintage is released.This dataset is featured on the following app(s):Ward Census DashboardCity Census ViewerContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.govData GlossaryTo view more information about individual fields, navigate to Data -> Fields.Methodology1. Get all census tracts within Cuyahoga county. 2. Determine which census tracts are within the city of Cleveland. a. If a census tract falls over multiple city boundaries, the city that contains more of that census tract’s blocks is assigned to said census tract. 3. Filter the dataset for census tracts within Cleveland. 4. Determine which census tracts are within which wards. a. If a census tract falls across two or more wards, whichever ward contains most of that tract’s blocks is assigned. 5. Aggregate counts for different ACS variables across census tracts within each ward. This results in the final estimates.

TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWPolygon layer containing American Community Survey (ACS) 5-Year Estimate data for the most recent vintage. 5 year estimates are a rolling average of data from the past five years. The current vintage is for 2019-2023. Data is filtered for Cuyahoga County, OH, and additional calculations are performed to determine the city each census tract lies within. Therefore, this dataset is filterable for the city of Cleveland and its surrounding suburbs. To learn more about each of these datasets, click on one of datasets under "Layers". This dataset powers the City Census Viewer.This dataset is ported from the ArcGIS Living Atlas.Data GlossaryClick here, then click on "Fields" to view documentation. Use the "Layers" drop down to view documentation for different tables.Update FrequencyThis dataset is updated annually in December when the new ACS vintage is released.ContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.gov

The City Census Viewer uses data from the American Community Survey (ACS) on the census tract, neighborhood, and city ward level. Data in this application is filtered for Cuyahoga county, and users can filter further by cities within the county. All data in this viewer is exportable.InstructionsClick on a census tract to view more information about the data.Click the "Export Data" button to view and export the table that supports the active map.Click the "Menu" button to view additional data categories.Release DateAugust 2023Update FrequencyThis dataset is updated every year, when the newest vintage of the American Community Survey is released.ContactsReport errors or issues to Samuel Martinez, Spatial Data Analyst at City of Cleveland Urban AI

This dataset contains American Community Survey (ACS) data aggregated by neighborhood. The current ACS vintage is for 2019-2023. Values are calculated by aggregating all the census tracts that fall within a given neighborhood. If a census tract falls across two or more neighborhood, the neighborhood which contains most of the census tract's blocks is assigned said tract. Click here to learn more about how this process works.Update FrequencyThis dataset is updated annually when the new ACS vintage is released.This dataset is featured on the following app(s):City Census ViewerContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.govData GlossaryTo view more information about individual fields, navigate to Data -> Fields.Methodology1. Get all census tracts within Cuyahoga county. 2. Determine which census tracts are within the city of Cleveland. a. If a census tract falls over multiple city boundaries, the city that contains more of that census tract’s blocks is assigned to said census tract. 3. Filter the dataset for census tracts within Cleveland. 4. Determine which census tracts are within which neighborhoods. a. If a census tract falls across two or more neighborhoods, whichever neighborhood contains most of that tract’s blocks is assigned. 5. Aggregate counts for different ACS variables across census tracts within each neighborhood. This results in the final estimates.

This study investigated changes in the geographic concentration of drug crimes in Cleveland from 1990 to 2001. The study looked at both the locations of drug incidents and where drug offenders lived in order to explore factors that bring residents from one neighborhood into other neighborhoods to engage in drug-related activities. This study was based on data collected for the 224 census tracts in Cleveland, Ohio, in the 1990 decennial Census for the years 1990 to 1997 and 1999 to 2001. Data on drug crimes for 1990 to 1997 and 1999 to 2001 were obtained from Cleveland Police Department (CPD) arrest records and used to produce counts of the number of drug offenses that occurred in each tract in each year and the number of arrestees for drug offenses who lived in each tract. Other variables include counts and rates of other crimes committed in each census tract in each year, the social characteristics and housing conditions of each census tract, and net migration for each census tract.

This layer shows demographic context for senior well-being work. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The layer is symbolized to show the percentage of population aged 65 and up (senior population). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B09021, B17020, B18101, B23027, B25072, B25093, B27010, B28005, C27001B-IData downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.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 2022 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.

This layer shows median age broken down by sex and race group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the median age of the population. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B01002, B01002B, B01002C, B01002D, B01002E, B01002F, B01002G, B01002H, B01002I (Not all lines of ACS table B01001 are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.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 2022 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.

The Urban Institute undertook a comprehensive assessment of communities approaching decay to provide public officials with strategies for identifying communities in the early stages of decay and intervening effectively to prevent continued deterioration and crime. Although community decline is a dynamic spiral downward in which the physical condition of the neighborhood, adherence to laws and conventional behavioral norms, and economic resources worsen, the question of whether decay fosters or signals increasing risk of crime, or crime fosters decay (as investors and residents flee as reactions to crime), or both, is not easily answered. Using specific indicators to identify future trends, predictor models for Washington, DC, and Cleveland were prepared, based on data available for each city. The models were designed to predict whether a census tract should be identified as at risk for very high crime and were tested using logistic regression. The classification of a tract as a "very high crime" tract was based on its crime rate compared to crime rates for other tracts in the same city. To control for differences in population and to facilitate cross-tract comparisons, counts of crime incidents and other events were converted to rates per 1,000 residents. Tracts with less than 100 residents were considered nonresidential or institutional and were deleted from the analysis. Washington, DC, variables include rates for arson and drug sales or possession, percentage of lots zoned for commercial use, percentage of housing occupied by owners, scale of family poverty, presence of public housing units for 1980, 1983, and 1988, and rates for aggravated assaults, auto thefts, burglaries, homicides, rapes, and robberies for 1980, 1983, 1988, and 1990. Cleveland variables include rates for auto thefts, burglaries, homicides, rapes, robberies, drug sales or possession, and delinquency filings in juvenile court, and scale of family poverty for 1980 through 1989. Rates for aggravated assaults are provided for 1986 through 1989 and rates for arson are provided for 1983 through 1988.

This layer shows housing occupancy, tenure, and median rent/housing value. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Homeownership rate on Census Bureau's website is owner-occupied housing unit rate (called B25003_calc_pctOwnE in this layer).

This dataset contains all Building & Houising complaint workflow updates. Note, this dataset was known previously as Complaint Status History. Update FrequencyWeekly on Sundays at 7 AM EST (6 AM during daylight savings) ContactsDepartment of Building and Housing 216-664-2282 Data Glossary B1_ALT_ID: Record ID File Date: Date record createdSource: Source of request (Public via complaint or Internal) WF Task: tasks of most interest are Complaint Acceptance (when the complaint comes to Building and Housing) and Closure (when the complaint is closed) WF Task Status: provides more detailed information about the current task WF Task Date: Date workflow was updatedPrimary Address: Address on file for recordParcel: Permanent parcel number where complaint is located Type of Complaint: Most are self-explanatory, but O.V.V. is short for open, vacant, and vandalized, which means Building and Housing needs to inspect to see if structure is open to casual entry; and Complete interior/exterior means that Building and Housing will evaluate if the structure needs to be condemned The below fields are not from the system of record for permits, Accela. They are extra fields produced by the City's Data Warehouse to make it more useful for staff and the public.DW_Parcel: Current Cuyahoga County parcel that matches this addressDW_Ward: Ward location of that parcelDW_Tract2020: Census tract ID of that parcelDW_Neighborhood: City neighborhood of that parcel

This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This layer shows education level for adults 25+. Counts broken down by sex. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized by the percentage of adults (25+) who were not high school graduates. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B15002Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.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 2022 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.

Cleveland Department of Public Health (CDPH) complaint intake records. These are reported problems from the public about food safety, air issues, or residential nuisances within City of Cleveland limits. Complaints outside of City limits and CDPH jurisidiction are handled by the Cuyahoga County Board of Health (CCBH).Official complaints from the public are an important way for the Cleveland Department of Public Health (CDPH) to track problems in the area. Complaints received by the office are forwarded to an inspection staff member for investigation.These complaints are reported via phone or online form.Data GlossaryRecords are from 2014 to present.id: System ID for complaintcomplaint_number: Primary number for tracking this complaintsubmit_date: Submission daysubmit_time: Submission time HH:MMcomplaint_type: Type of complaint, from drop-down list in formcomplaint_input: Source of the submission, from a staff member or website formcomplaint_inspector: Inspector assigned to complaintcomplaint_status: Status of complaint in the systemcomplaint_outcome: Listed outcome of investigationfood_complaint: Food type complaint detailfarm_animal: Animal type complaint detailinsect_vermin: Insect type complaint detailodor_type: Odor type complaint detailodor_strength: Odor type complaint strength detailproblem_location_name: Listed name of location by submitterproblem_address: Problem location addressproblem_street_direction: Problem location street direcitonproblem_street_name: Problem location streetproblem_street_type: Problem location street typeproblem_unit_number: Problem location unit numberproblem_city: Problem location cityproblem_zip_code: Problem location zip codeproblem_date_time: Submitted time details of the problemmac_complaint_id: Parent complaint if stemming from prior submissionpermanent_parcel_number: Parcel number as submitted. Note this is user-entered info for the complaint.census_tract: Census Tract numberward_number: City ward numberdw_ward: The city ward number, as a result of geocoding the complaint address.dw_neighborhood: The neighborhood, as a result of geocoding the complaint address.dw_census_tract: The census tract number, as a result of geocoding the complaint address.dw_parcel: The parcel number, as a result of geocoding the complaint address.Update FrequencyWeekly on Sunday at 1:00 AM ESTContactCleveland Department of Public Health - Website

Data from City of Cleveland Public Safety's Computer-aided Dispatch (CAD) system on calls for Cleveland Division of EMS service. Includes information on priority, type, and location at the Census Tract level.Data starts with calls from 2021 onwards. The data provided is the latest available information and is updated regularly as statistics change.Call times are shown in your local time zone, but are converted to UTC when you download the data.Update FrequencyDaily around 8:30AM EasternRelated data item(s):EMS Calls for Service DashboardContactsCity of Cleveland, Division of Emergency Medical ServiceData GlossaryColumn | Descriptioneid | Event ID. In cases where multiple divisions respond to an event, this ID may be shared with CAD records from Fire or Police.incident_num | The incident ID number, which is specific to the response by EMS.typ_eng | The call type associated with the incident. In cases where typ_eng is empty and Fire or Police responded to the same event, an attempt is made to impute the Fire and then the Police typ_eng in that order.sub_eng | The call sub type associated with the incident.first_dispo_code | The main disposition code associated with the incident.first_dispo_eng | Description of the main disposition code associated with the incident.dispo_codes | All disposition codes associated with the incident.dispo_descriptions | The description of all disposition codes associated with the incident.priority | The priority assigned to the incident (lower is higher priority).call_datetime | The time when the call for service was made, truncated to the nearest hour.city | City where the incident occurred. neighborhood | Neighborhood where the incident occurred.ward | Ward where the incident occurred.census_tract | The 2020 Census Tract where the incident occurred.zip | The ZIP code where the incident occurred. isDispatch | True if the incident resulted in one or more units being dispatched, false otherwise.isTransport | True if the incident resulted in transporting a patient, false otherwise.isGunshotWound | True if the call type is "STAB / GUNSHOT / PENETRATING TRAUMA" and the call is coded as a gunshot wound, false otherwise. Derived from free-text call notes entered by EMS. isStabWound | True if the call type is "STAB / GUNSHOT / PENETRATING TRAUMA" and the call is coded as a stab wound, false otherwise. Derived from free-text call notes entered by EMS.

Certificates of Disclosure (COD) issued by the City of Cleveland Department of Building and Housing since 2015. A COD is required when transferring properties with structures in the City. Update Frequency Weekly on Sundays at 7 AM EST (6 AM during daylight savings) ContactsDepartment of Building and Housing Records Room 216-664-2930 Data Glossary B1_ALT_ID: Record ID File Date: Date record created Parcel: Permanent parcel number of property to be transferred Address : Address of property to be transferred Ward: Ward in which property is located as of issue date Owner Name: Individual or entity transferring property Title Agency Name: Title agent for property transfer Title Agency Business Name: Title agency for property transfer Buyer Name: Individual buying the property Buyer Business Name: Business entity buying the property Mortgage Broker Name: Mortgage broker associated with transaction Mortgage Broker Business Name: Mortgage broker business associated with transaction Mortgage Company Name: Mortgage officer associated with transaction Mortgage Company Business Name: Mortgage company associated with transaction Issued by: Accela user who issued the CODIssue Date: Date COD was issued Condemned Status: Is structure currently condemned? Yes or No. This is user-entered reviewing staff.Was Ever Condemned: Has structure ever been condemned? Yes or No. This is user-entered reviewing staff.Current Violations: Are there currently Building and Housing violations associated with parcel? Yes or No. This is user-entered reviewing staff.Current BH Lead Violations: Is there currently a Building and Housing lead violation associated with parcel? Yes or No. This is user-entered reviewing staff.Current CDPH Lead Violations: Is there currently a Cleveland Department of Public Health lead violation associated with parcel? Yes or No . This is user-entered reviewing staff.The below fields are not from the system of record for permits, Accela. They are extra fields produced by the City's Data Warehouse to make it more useful for staff and the public.DW_Parcel: Current Cuyahoga County parcel that matches this addressDW_Ward: Ward location of that parcelDW_Tract2020: Census tract ID of that parcelDW_Neighborhood: City neighborhood of that parcelACCELA_CITIZEN_ACCESS_URL: Link to view the record on Accela Citizen Access

Board up permits issued by the Department of Building and Housing since 2015.A "board up" or boarding permit is issued when a City inspector responds to a complaint that a structure is open, vacant, and/or vandalized (O.V.V.). If the inspector determines that the complaint is valid and the structure is open to casual entry, a contractor will board every casual entry point, which most often includes first floor doors and windows.Update FrequencyWeekly on Sundays at 7 AM EST (6 AM during daylight savings)ContactsDepartment of Building & Housing, Records, 216.664.2825Data GlossaryPERMIT_IDThe permit identification number in the Accela system. (TEXT)PERMIT_TYPEThe highest classification category for a permit in Accela, this will always have a value of "Building Permit". (TEXT)PERMIT_SUBTYPE The type of building receiving the permit, such as "Residential" or "Commercial". (TEXT)PERMIT_CATEGORYThe finest classification category for a permit in Accela, this will always have a value of "Building Permit". (TEXT)PRIMARY_ADDRESSThe primary address associated with the permit. (TEXT)PARCEL_NUMBERThe parcel number associated with the permit. (TEXT)FILE_DATEThe date where the permit record was created in the Accela system. (DATE)ISSUE_DATEThe date where the permit was actually issued. (DATE)The below fields are not from the system of record for permits, Accela. They are extra fields produced by the City's Data Warehouse to make it more useful for staff and the public.DW_Parcel: Current Cuyahoga County parcel that matches this addressDW_Ward: Ward location of that parcelDW_Tract2020: Census tract ID of that parcelDW_Neighborhood: City neighborhood of that parcel