accrued_expenses

Data source: F_Expenses

123 rows where filer_id = 37 sorted by report_date descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: filer_name, election_date, entity_type, payee_last_name, payee_city, payee_state, payee_zipcode, amount_paid, report_date (date), report_start_date (date), report_end_date (date), election_date (date)

Next page

CREATE TABLE "accrued_expenses" (
"filer_id" INTEGER,
  "filer_name" INTEGER,
  "committee_type" TEXT,
  "report_date" TEXT,
  "report_start_date" TEXT,
  "report_end_date" TEXT,
  "election_date" TEXT,
  "transaction_id" TEXT,
  "entity_type" TEXT,
  "payee_last_name" TEXT,
  "payee_first_name" INTEGER,
  "payee_prefix" INTEGER,
  "payee_suffix" INTEGER,
  "payee_city" TEXT,
  "payee_state" TEXT,
  "payee_zipcode" TEXT,
  "beginning_balance" INTEGER,
  "amount_incurred" INTEGER,
  "amount_paid" INTEGER,
  "ending_balance" INTEGER,
  "expenditure_description" TEXT,
  "committee_id" INTEGER,
  "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));
CREATE INDEX ["accrued_expenses_filer_id"] ON [accrued_expenses]("filer_id");
CREATE INDEX ["accrued_expenses_filer_name"] ON [accrued_expenses]("filer_name");
CREATE INDEX ["accrued_expenses_committee_id"] ON [accrued_expenses]("committee_id");