This dataset is a filtered view of LASD-published year-to-date crime data for the City of West Hollywood, updated monthly. It is presented in its raw format and is completely unaltered.

Please contact the Los Angeles Sheriff's Department with any questions regarding the underlying data.

Incident Date = Date the crime incident occurred Incident Reported Date = Date the crime was reported to LASD Category = Incident crime category Stat = A three digit numerical coding system to identify the primary crime category for an incident Stat Desc = The definition of the statistical code number Address (last two digits of # rounded to 00) = The street number, street name, state and zip where the incident occurred Street (last two digits of # rounded to 00) = The street number and street name where the incident occurred City = The city where the incident occurred Zip = The zip code of the location where the incident occurred Incident ID = The URN #, or Uniform Report Number, is a unique # assigned to every criminal and noncriminal incident Reporting District = A geographical area defined by LASD which is within a city or unincorporated area where the incident occurred Seq = Each incident for each station is issued a unique sequence # within a given year Gang Related = Indicates if the crime incident was gang related (column added 08/02/2012) Unit ID = ORI # is a number issued by the FBI for every law enforcement agency Unit Name = Station Name Longitude (truncated to 3 decimals, equivalent to half-block rounding) (column added 01/04/2021) Latitude (truncated to 3 decimals, equivalent to half-block rounding) (column added 01/04/2021) Part Category = Part I Crime or Part II Crime indicator (replaced DELETED column 01/04/2021)

On April 3, 2023, after consulting with addressing staff to evaluate workflow and processes related to annexations, we determined that this zip code layer was never intended to be a true representation of postal service zip code. Instead, this layer represents the MSAG community. During an annexation, as a street is consumed by a city jurisdiction boundary, its MSAG equivalent range receives a new ESN and Community designation. With MSAG, the ESN + Community designation are intended to be the components relating back to a GIS street centerline segment. Decades ago when the PSAP call routing was first established, this layer was established to aid in assigning the community value placed on MSAG street segment equivalents.As of April 2023, the street and address layers have a zip code and zip community value assigned. These are based on the MSAG zip code layer maintained by York county, which were developed from postal service zip code route delivery areas decades ago, but are now maintained only for MSAG community assignment. At some point, possibly once York County migrates to NG911 in 2024-2025 and MSAG becomes obsolete, we may need to update our MSAG zip code values to reflect the true postal service route delivery boundary.Access the file geodatabase source data in SC State Plane coordinate system

Zip Code, Number of vehicle-pedestrian injury collisions, 10 years; Number of vehicle-bicycle injury collisions, 10 years; Number of motor vehicle collisions, 1 year; Drive alone; Carpool; Public transportation; Other; Commute time of 30 minutes or more; Households receiving CalFresh benefits; Average distance (miles) to nearest full-service grocery store; Average distance (miles) to nearest farmers’ market; Number of fast food outlets per square mile; Adults who ate 2+ servings of fruit the previous day; Adults who ate 3+ servings of vegetables the previous day; Adults who ate fast food at least weekly in past 30 days; Adults whose household shops for fruits and vegetables only within community/neighborhood; Adult(s) in family ever received food from a church, a food pantry, or food bank in past 12 months; Households with gross rent 30% or more of household income; Overcrowded households; Lives in multi-unit housing; Adults who met CDC recommendations for aerobic physical activity; Average distance (miles) to nearest park or open space; Number of tobacco retail outlets per square mile; Average number of violent crimes within 1 mile; Number of alcohol retail outlets per square mile; Adults who report neighborhood crime, violence, and drug activity is somewhat of or a major problem; Adults with any firearms now kept in or around home; Adults who were ever hit, slapped, pushed, kicked, or hurt in any way by an intimate partner; Ozone; PM25; Births per 1,000 people; Low birth weight infants; Preterm births; Overweight or obese in first trimester of pregnancy; Mothers who received early and adequate prenatal care; Teen live births per 1,000 females, ages 15-19; Adults with health coverage (ages 18-64); Adults with dental insurance; Adults with fair or poor self-rated health; Adults who have health condition(s) that limit(s) activities; Adults who were ever diagnosed with depression; Adults who are obese; Adults who received a flu shot or nasal flu vaccine in the past 12 months; Adults who engaged in binge drinking in the past 30 days; Adults who were ever diagnosed with high blood pressure (hypertension); Adults who were ever diagnosed with asthma; Adults who were ever diagnosed with diabetes; Adults who had 1+ falls in past 3 months (ages 45+)). Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

There were three key objectives to this study: (1) to determine the relative importance of crime-related as well as business-related factors in business relocation decisions, including business ownership, type of business, and business size, (2) to ascertain how businesses respond to crime and fear of crime, such as by moving, adding more security, requesting police protection, or cooperating with other businesses, and (3) to identify the types of crime prevention measures and assistance that businesses currently need and to assess the roles of business associations and police departments in providing enhanced crime prevention assistance. From November 1995 through February 1996 a mail survey was distributed to a sample of three different groups of businesses in Austin's 14 highest crime ZIP codes. The groups consisted of: (1) businesses that remained within the same ZIP code between 1990 and 1993, (2) new firms that either moved into a high-crime ZIP code area between 1990 and 1993 or were created in a high-crime ZIP code between 1990 and 1993, and (3) businesses that relocated from high-crime ZIP code areas to other locations in Austin's metropolitan area or elsewhere in Texas. Variables include type of business, ownership of business, number of employees, reasons for moving or staying in neighborhood, types of crime that affected business, owner's response to business crime, customer safety, and the role of business associations and the police in preventing crime.

Context

In order to complete our group project, which is abour developing a website to find vaccine station in Los Angeles County, in EE599 USC. We scraped two website to get our dataset.

Content

At first, we scraped the Los Angeles Almanac to get the whole zip codes of Los Angeles County. The zip codes are store in zipcode.json. It will include some zip codes, which are not used nowadays.

Los Angeles County: http://www.laalmanac.com/communications/cm02_communities.php

Secondly, we scraped Google Map to get the position of each zip code. The position is presented by the form of latitude and longitude. The postion info is stored in zip2pst.json.

At last, we scraped the VaccineFinder to get the information about the providers info and vaccine information, which are stored in porviders.json and providers_info.json. VaccineFinder: https://www.vaccines.gov/

This layer shows housing units broken down by owner occupied and renter occupied in Tempe Zip Codes.Data is from US Census American Community Survey (ACS) 5-year estimates.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online).A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2016-2020ACS Table(s): S2502 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Zip Code boundaries in the City of Tempe.Date of Census update: March 17, 2022National Figures: data.census.gov

Chicago Police district station locations and contact information.

The Can-BICS metrics are dissemination-area level measures of the cycling environment based on the quantity and quality of cycling infrastructure (high, medium, and low comfort classifications). The metrics were developed based on a classification of OpenStreetMap (OSM) data using Can-BICS infrastructure categories as consistent criteria and data acquired on January 25, 2022. The spatial unit for the Can-BICS metrics is a 1 km circular buffer around the population-weighted DA centroid. NOTE: all postal codes within the same dissemination area have been assigned the same value. Some mathematical operations are therefore not valid for aggregating postal code values. There are two summary metrics for each buffer area that are assigned to each dissemination area. The Can-BICS continuous metric is a weighted sum of high-comfort kms (×3), medium-comfort kms (×2), and low-comfort kms (×1) within the buffer, normalized by the land area (km2) within each buffer. The Can-BICS categorical metric is 5 categories assigned using K-medians clustering of the continuous measure. Category 1 represents the lowest level of infrastructure, and Category 5 represents the highest level of infrastructure.Can-BICS national data were developed by Dr. Meghan Winters, Dr. Trisalyn Nelson, Dr. Kevin Manaugh, Jeneva Beairsto, Dr. Colin Ferster, Karen Laberee, with help from Jaimy Fischer, and Moreno Zanotto. Data by OpenStreetMap contributors (2022). Please refer to the supporting documentation.

This layer shows the population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2019-2023ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table was downloaded and joined with Zip Code boundaries in the City of Tempe.Date of Census update: December 12, 2024National Figures: data.census.gov

The City of Tempe ZIP Codes feature class is from Maricopa County GIS Open Data and is intended to show the USPS ZIP Code boundaries within Tempe, Arizona.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq

The general neighborhood and zip code location of active short term rentals (including type) across Austin, TX. Licenses are only active for one year. We have not included specific addresses, at the request of residents for safety reasons, but we have included street name and zip code. For more information or for records of licenses older than a year, concerned parties can pursue a public information request: public.information@austintexas.gov. FYI: your request will not be considered received unless it is sent to the proper address.

This layer shows age and sex demographics. Data is from US Census American Community Survey (ACS) 5-year estimates.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). Layer includes:Key demographicsTotal populationMale total populationFemale total populationPercent male total population (calculated)Percent female total population (calculated)Age and other indicatorsTotal population by AGE (various ranges)Total population by SELECTED AGE CATEGORIES (various ranges)Total population by SUMMARY INDICATORS (including median age, sex ratio, age dependency ratio, old age dependency ratio, child dependency ratio)Percent total population by AGE (various ranges)Percent total population by SELECTED AGE CATEGORIES (various ranges)Male by ageMale total population by AGE (various ranges)Male total population by SELECTED AGE CATEGORIES (various ranges)Male total population Median age (years)Percent male total population by AGE (various ranges)Percent male total population by SELECTED AGE CATEGORIES (various ranges)Female by ageFemale total population by AGE (various ranges)Female total population by SELECTED AGE CATEGORIES (various ranges)Female total population Median age (years)Percent female total population by AGE (various ranges)Percent female total population by SELECTED AGE CATEGORIES (various ranges)A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Current Vintage: 2019-2023ACS Table(s): S0101 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: December 12, 2024Data Preparation: Data table downloaded and joined with Zip Code boundaries in the City of Tempe.National Figures: data.census.gov

The City of Tempe ZIP Codes feature class is intended to show the USPS ZIP Code boundaries within Tempe, Arizona.

This layer shows population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2016-2020ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Zip Code boundaries in the City of Tempe.Date of Census update: March 17, 2022National Figures: data.census.gov

Note: Data elements were retired from HERDS on 10/6/23 and this dataset was archived.

This dataset includes information at the report date level on patients admitted for inpatient care to the hospital that are lab-confirmed COVID-19 positive. Admitted means that the patient was newly admitted to the hospital or was confirmed positive after admission. Zip Code information became available for COVID-19 admissions as of May 2, 2020. Hospitalized means patients admitted as inpatients in either inpatient or observation beds and does not include patients that were treated and released from an Emergency Department. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: COVID-19 Admissions by Zip Code. The dataset was changed to its current title on 11/4/2021.