issue_comm_cont
4 rows where committee = "CITIZENS FOR D51 SCHOOLS" and occupation = "Financial/Investment"
This data as json, CSV (advanced)
Suggested facets: state
Link | rowid ▼ | committee | committee_type | contribution_amount | contribution_date | contributor | city | state | zip | employer | occupation | contributor_type | contribution_type | explanation |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
719 | 719 | CITIZENS FOR D51 SCHOOLS | Issue Committee | 250.0 | 9/1/21 | Joseph Schoenbeck | Chicago | IL | 60657 | Linquest | Financial/Investment | Individual | Monetary (Itemized) | |
720 | 720 | CITIZENS FOR D51 SCHOOLS | Issue Committee | 100.0 | 9/1/21 | David Miller | Palisade | CO | 81526 | Alpine Bank | Financial/Investment | Individual | Monetary (Itemized) | |
741 | 741 | CITIZENS FOR D51 SCHOOLS | Issue Committee | 50.0 | 9/1/21 | Mariko Wilcox | Englewood | CO | 80113 | Northwestern Mutual | Financial/Investment | Individual | Monetary (Itemized) | |
987 | 987 | CITIZENS FOR D51 SCHOOLS | Issue Committee | 500.0 | 9/25/21 | Karen Madsen | Grand Junction | CO | 81505 | Merrill Lynch | Financial/Investment | Individual | Monetary (Itemized) |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE "issue_comm_cont" ( "committee" TEXT, "committee_type" TEXT, "contribution_amount" REAL, "contribution_date" TEXT, "contributor" TEXT, "city" TEXT, "state" TEXT, "zip" TEXT, "employer" TEXT, "occupation" TEXT, "contributor_type" TEXT, "contribution_type" TEXT, "explanation" TEXT );