Texas Ethics Commission data
Release v1.4
Source snapshot September 17, 2026
Latest eligible reported transaction September 15, 2026
Canonical Vendor
Schiller Signs
Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 277110 · Resolution: Indexed Canonical Identity
Total Payments
$10,788.20
Client Filers
2
Payments
5
Activity Range
08/15/2006–09/26/2006
Largest Payment
$4,059.38
Graph: 2 connected filers · 5 payments · $10,788.20 represented
Canonical vendor assembled from reviewed Texas Ethics Commission reported payee identities. Source records remain unchanged.
Reported Names
Payee names preserved from the reported/curated source layer and resolved to this canonical vendor.
- Schiller Signs
Top Client Filers
Canonical client relationships from vendor_clients_canonical.
| # | Filer | Paid | Payments | Last Payment |
|---|---|---|---|---|
| 1 | Coker, Elizabeth E. | $6,728.82 | 4 | 09/18/2006 |
| 2 | Burroughs, Richard (Mr.) | $4,059.38 | 1 | 09/26/2006 |
Shared Client Network
Other canonical vendors paid by the same filer clients. Ranked by shared-client count.
This is a structural overlap measure, not evidence of affiliation or coordination.
| Vendor | Shared Clients | Focal Coverage | Peer Clients | Network Overlap |
|---|---|---|---|---|
|
Polk County Chamber of Commerce
Vendor ID 246929
|
2 | 100.0% | 11 | 18.2% |
|
Polk County Enterprise
Vendor ID 246935
|
2 | 100.0% | 16 | 12.5% |
|
Polk County Publishing
Vendor ID 246945
|
2 | 100.0% | 16 | 12.5% |
Method: Focal Coverage = shared clients ÷ this vendor's client count.
Network Overlap = Jaccard similarity: shared clients ÷ union of both client sets.
Recent Reported Payments
| Date | Client Filer | Amount | Description |
|---|---|---|---|
| 09/26/2006 | Burroughs, Richard (Mr.) | $4,059.38 | Campaign Signs |
| 09/18/2006 | Coker, Elizabeth E. | $3,187.50 | Campaign materials |
| 08/15/2006 | Coker, Elizabeth E. | $176.91 | Campaign materials |
Evidence basis: A canonical vendor identity was resolved using the curated vendor layer. Raw reported-payee statistics remain separate from canonical vendor statistics so the source record and analytical identity are distinguishable.