house_exp
4 rows where expenditure_amount = "100.0" and expenditure_type = "Entertainment" sorted by city
This data as json, CSV (advanced)
Suggested facets: expenditure_date
Link | rowid | District | candidate_name | expenditure_amount | expenditure_date | recipient | city ▼ | state | zip | expenditure_type | explanation |
---|---|---|---|---|---|---|---|---|---|---|---|
10560 | 10560 | House District 39 | Brandi Bradley | 100.0 | 7/26/22 | The Stand For Health Freedom | Colorado Springs | CO | 80918 | Entertainment | |
14956 | 14956 | House District 59 | Shelli Shaw | 100.0 | 7/28/22 | Carl Johnson | Cortez | CO | 81321 | Entertainment | Fundraiser Music |
447 | 447 | House District 02 | Steven Woodrow | 100.0 | 7/28/22 | Conservation Colorado, Inc. | Denver | CO | 80203 | Entertainment | Event Ticket |
3149 | 3149 | House District 13 | David Buckley | 100.0 | 6/17/22 | David J Buckley | Kremmling | CO | 80459 | Entertainment | Tip For Raft Shuttle |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE "house_exp" ( "District" TEXT, "candidate_name" TEXT, "expenditure_amount" REAL, "expenditure_date" TEXT, "recipient" TEXT, "city" TEXT, "state" TEXT, "zip" TEXT, "expenditure_type" TEXT, "explanation" TEXT );