vendors

8 rows where payee_name = "KAISER PERMANENTE"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: agency_name, fiscal_year, payee_zip, slug

Link rowid ▼ agency_name fiscal_year payee_name payee_zip purpose_of_payment_baltimore_county_only slug amount exclude
3305 3305 BALTIMORE CITY PUBLIC SCHOOLS 2019 KAISER PERMANENTE 20849 NA baltimore-city 5005353.15 FALSE
3924 3924 BALTIMORE CITY PUBLIC SCHOOLS 2020 KAISER PERMANENTE 20849 NA baltimore-city 5989089.75 FALSE
4512 4512 BALTIMORE CITY PUBLIC SCHOOLS 2021 KAISER PERMANENTE NA NA baltimore-city 6916326.619999999 FALSE
5115 5115 BALTIMORE CITY PUBLIC SCHOOLS 2022 KAISER PERMANENTE 20849 NA baltimore-city 7488337.99 FALSE
20162 20162 PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS 2019 KAISER PERMANENTE 21264 NA prince-georges-county 7746241.57 FALSE
20870 20870 PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS 2020 KAISER PERMANENTE 21264 NA prince-georges-county 12196412.52 FALSE
21561 21561 PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS 2021 KAISER PERMANENTE 21264 NA prince-georges-county 15215112.44 FALSE
22282 22282 PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS 2022 KAISER PERMANENTE 21264 NA prince-georges-county 16978224.68 FALSE

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE "vendors" (
   [agency_name] TEXT,
   [fiscal_year] TEXT,
   [payee_name] TEXT,
   [payee_zip] TEXT,
   [purpose_of_payment_baltimore_county_only] TEXT,
   [slug] TEXT,
   [amount] FLOAT,
   [exclude] TEXT
);