What strategies can I use to research localized crime trends using public data sources before making an offer on a distant property?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What strategies can I use to research localized crime trends using public data sources before making an offer on a distant property?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
official public crime data sources FBI Crime Data Explorer NIBRS local police open data crime maps property research United States Google ↗
BJS National Crime Victimization Survey limitations police reported crime data neighborhood crime maps official Google ↗
- Open FBI Crime Data Explorer · cde.ucr.cjis.gov
- UCR Publications · fbi.gov
- Crime/Law Enforcement Stats (UCR Program) · fbi.gov
- National Incident-Based Reporting System (NIBRS) · bjs.ojp.gov
- Explore BJS crime statistics · bjs.ojp.gov
- National Crime Victimization Survey (NCVS) · bjs.ojp.gov
- Explore Census data · data.census.gov
- National Crime Victimization Survey · bjs.ojp.gov
- LEARCAT Methodology · bjs.ojp.gov
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
official public crime data sources FBI Crime Data Explorer NIBRS local police open data crime maps property research United States OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
BJS National Crime Victimization Survey limitations police reported crime data neighborhood crime maps official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |