monetary_contributions

Data source: A_Contributions

5,124 rows where employer = 124 sorted by report_date descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: election_date, entity_type, prefix, transaction_type, transaction_description, report_date (date), report_start_date (date), report_end_date (date), election_date (date), transaction_date (date)

Next page

CREATE TABLE "monetary_contributions" (
"filer_id" INTEGER,
  "filer_name" INTEGER,
  "report_date" TEXT,
  "report_start_date" TEXT,
  "report_end_date" TEXT,
  "election_date" TEXT,
  "transaction_id" TEXT,
  "entity_type" TEXT,
  "last_name" TEXT,
  "first_name" TEXT,
  "prefix" INTEGER,
  "city" TEXT,
  "state" TEXT,
  "zipcode" TEXT,
  "employer" INTEGER,
  "occupation" TEXT,
  "self_employed" TEXT,
  "transaction_type" INTEGER,
  "transaction_date" TEXT,
  "transaction_amt" INTEGER,
  "year_to_date" INTEGER,
  "transaction_description" INTEGER,
  "committee_id" TEXT,
  "memo_reference_number" INTEGER
,
FOREIGN KEY ("filer_id") REFERENCES [filer_ids](id),
    FOREIGN KEY ("filer_name") REFERENCES [filer_names](id),
    FOREIGN KEY ("committee_id") REFERENCES [committee_ids](id),
    FOREIGN KEY ("employer") REFERENCES [businesses](id));
CREATE INDEX ["monetary_contributions_filer_id"] ON [monetary_contributions]("filer_id");
CREATE INDEX ["monetary_contributions_filer_name"] ON [monetary_contributions]("filer_name");
CREATE INDEX ["monetary_contributions_committee_id"] ON [monetary_contributions]("committee_id");
CREATE INDEX ["monetary_contributions_employer"] ON [monetary_contributions]("employer");