Hollywood Most Wanted

Data-Driven
Journalism

Hollywood Most Wanted reports on celebrity arrests, crime, courts and the geography behind Hollywood headlines. We combine reporting, official public records and mapped data to show not only what happened, but where, when and under what data limitations it can responsibly be understood.

Maps Are Art Here.Data becomes place. Place becomes context. Context becomes a visual record of Hollywood and Los Angeles.

How the map is built

Reporting + Public Data + Place

The HMW LA Map combines Hollywood Most Wanted reporting with public-safety data and geographic metadata. The crime-data layer uses official public records published by the Los Angeles Police Department (LAPD), Los Angeles County Sheriff’s Department (LASD), and other municipal agencies when a defensible public source is available. Crime records can be viewed as individual map points, as a density heat map, or as both when the source publishes usable location information.

Public-data records are stored separately from HMW editorial stories. A mapped police record is not presented as an HMW accusation, and an arrest, booking, call for service or reported incident is not a finding of guilt.

The map can also display separate reference layers such as police activity, Los Angeles Superior Court locations, city-level annual crime statistics and cannabis-place references. Calls for Service are requests for police service or activity and are not interchangeable with confirmed crime reports. Cannabis reference points are not proof of a current license; licensing should be verified with the appropriate government regulator.

Location precision is part of the reporting. HMW distinguishes agency-published points, agency-published rounded/block points, approximate block/intersection points derived from an agency-published location, and city-level statistics with no incident point. The map does not manufacture precision the source did not provide.

Other geographic information comes from HMW stories and from location data entered or derived during the editorial process: Los Angeles County city, Hollywood region, neighborhood, venue or place, address, and latitude/longitude when available. A story can therefore be connected to a specific neighborhood and place instead of being labeled only “Los Angeles.”

Official public dataLAPD, LASD and connected municipal public records are identified by source and kept visually distinct from editorial stories. Cities without defensible incident coordinates remain statistics-only rather than receiving invented points.

Editorial geographyStories can be tagged to a city, Hollywood-area neighborhood, venue, address and map coordinates for more precise local reporting.

Different data, different meaningCrime reports, Calls for Service, arrests, court locations and reference places are separate data types. The map does not treat them as interchangeable.

Context, not guiltA reported incident, arrest, booking or allegation is not a finding of guilt. Agency datasets can be delayed, corrected, incomplete, anonymized or geographically rounded.

Data methodology & transparency

What the numbers mean—and what they do not mean.

HMW treats provenance, precision and limitations as part of the story. The goal is reproducible context, not a single “crime score” or a claim that one map layer completely describes a community.

1. Sources & collection

HMW prioritizes first-party government data: official police and sheriff datasets, public Calls for Service, court locations, and California DOJ OpenJustice annual agency statistics. Each connected source is tracked separately because agencies publish different fields, time windows, classification systems and geographic precision.

Incident-level feeds are scheduled to refresh twice daily. Annual city statistics refresh weekly. WordPress scheduling can run late on low-traffic sites, and source agencies may themselves publish with delays.

2. Normalization & deduplication

Incoming records are normalized into a common HMW structure while retaining the source agency and source URL. HMW stores a source identifier for deduplication and updates an existing row when the same source record is seen again rather than intentionally creating a duplicate.

Agency offense descriptions may also be grouped into broad display categories such as violent, property, drugs, DUI/alcohol, weapons or other. These groupings are for navigation and visualization; the source offense label remains the more specific description.

3. What is stored

The map database stores the fields needed for journalism and visualization: source, public source identifier, agency, offense/category, incident and report date/time when available, city/region/neighborhood/area, generalized address, coordinates, data type, location-precision label, source URL and update timestamp.

The public crime-point table is not designed to store victim or suspect names. Named people, mugshots and allegations appearing in HMW editorial stories are handled separately as editorial content and require their own sourcing and context.

4. Retention & refresh window

The automatic incident cache keeps approximately the most recent 180 days of dated incident records for the interactive map. Short-lived police-activity layers can use shorter windows; for example, the Pasadena Calls for Service adapter retains approximately 30 days when that source can be processed. Annual city statistics are stored separately by year.

When an agency corrects a record and preserves its source identifier, a later sync can update HMW’s normalized copy. Source deletion practices vary by agency, so the public source remains the authority.

5. Geographic precision

Coordinates are not all equally precise. LAPD may publish rounded or block-level locations; LASD and other sources may publish points subject to agency rounding; some cities publish only a block or intersection, which HMW may geocode approximately and label accordingly. Statistics-only cities are never assigned invented incident points.

A marker should therefore be interpreted according to its displayed precision label—not as proof that an event occurred at an exact doorway or parcel.

6. Counts, rates & heat maps

Unless explicitly labeled otherwise, map counts are raw reported-record counts, not population-adjusted crime rates. A heat map shows concentration of mapped records in the active view; it is not a calibrated measure of personal risk, causation or neighborhood “danger.”

Observed density can be influenced by population, visitors, nightlife, roads, reporting behavior, policing patterns, agency boundaries, data lags and classification practices. Comparisons across cities should account for those differences.

7. Display limits & sampling

For performance, the interactive map can cap the number of individual points returned to a browser at one time, especially in county-wide views. HMW distinguishes displayed records, records matching the active filter, and records stored in the local data cache so a display cap is not mistaken for the total dataset.

8. Statistical interpretation

HMW does not infer guilt, individual propensity, neighborhood character or causal relationships from a cluster of reports. Arrest data measures enforcement activity as well as alleged conduct; calls measure demand for police service; reported-crime datasets measure what reaches and is coded by an agency. Those are related but different phenomena.

For formal comparisons, rates should use an appropriate denominator and matching time period, and uncertainty or missingness should be disclosed rather than hidden.

Data provenance principle.

Every layer should answer four questions: Who published it? When was it updated? What does one record represent? How precise is its location? If HMW cannot answer those questions defensibly, the data should not be presented as an exact incident point.

Featured Data Lens

Hollywood at Night

Hollywood at Night is a visual-journalism lens inside the HMW LA Map. It focuses the map on the Hollywood region and filters mapped public-safety records to incidents reported as occurring between 6 PM and 6 AM, with a default 30-day view.

Visitors can view the same records as individual incident points, a density heat map, or both. The heat map is a way to see geographic concentration and movement across neighborhoods; it is not a rating of neighborhood safety or danger.

Where occurrence-time information is published by the source agency, HMW uses that field directly. Records without usable time information are not guessed into a nighttime period. As with every public-data layer on HMW, reported incidents are not findings of guilt and may later be corrected by the source agency.

Maps are art here. Hollywood at Night turns public records, time and geography into a visual record—while keeping the underlying source and its limitations visible.

Hollywood Most Wanted is an independent Los Angeles publication at the intersection of celebrity, law, culture and art. Founded from Rachel Schmeidler’s long-running visual project of the same name, the publication examines how public figures are transformed by headlines, courtrooms, cameras and collective attention.

Rachel Schmeidler is a Los Angeles-based multidisciplinary artist and visual storyteller known for reinterpreting public booking photographs through silkscreen, mixed media, photography and digital processes. Her work has been covered by CNN, the Los Angeles Times and other national and international outlets.

Rachel Schmeidler

Rachel Schmeidler is the artist, founder and editor behind Hollywood Most Wanted. Follow her visual work and publication updates on Instagram @rachel.schmeidler.

88-city context

Incident points and city statistics are different layers.

Where an agency publishes stable geocoded incident data, HMW can map individual reports and heat-map density. For municipalities without a reliable point feed, HMW can use California DOJ OpenJustice Crimes and Clearances as a separate annual agency-level city statistics layer. Those annual totals are not combined with recent incident counts.

Source data can be preliminary, delayed, corrected, anonymized or geographically rounded. HMW treats public-data layers as reporting context, not as findings of guilt or a neighborhood danger score.