You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 chicago_crime
【Schema】
# Table: IUCR
[
(iucr_no:TEXT, Primary Key, Examples: [031A, 031B, 033A]),
(primary_description:TEXT, Examples: [HOMICIDE, CRIM SEXUAL ASSAULT, BATTERY]),
(secondary_description:TEXT, Examples: [FIRST DEGREE MURDER]),
(index_code:TEXT, Examples: [I, N])
]
# Table: Community_Area
[
(community_area_no:INTEGER, Primary Key, Examples: [1, 2, 3]),
(community_area_name:TEXT, Examples: [Rogers Park, West Ridge, Uptown]),
(side:TEXT, Examples: [Far North , North , Central]),
(population:TEXT, Examples: [54,991, 71,942, 56,362])
]
# Table: FBI_Code
[
(fbi_code_no:TEXT, Primary Key, Examples: [01A, 01B, 04A]),
(title:TEXT, Examples: [Homicide 1st & 2nd Degree]),
(description:TEXT),
(crime_against:TEXT, Examples: [Persons, Property, Society])
]
# Table: Ward
[
(ward_no:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alderman_first_name:TEXT, Examples: [Daniel, Brian, Pat]),
(alderman_last_name:TEXT, Examples: [La Spata, Hopkins, Dowell]),
(alderman_name_suffix:TEXT, Examples: [Jr.]),
(ward_office_address:TEXT, Examples: [1958 N. Milwaukee Ave.]),
(ward_office_zip:TEXT, Examples: [60647, 60622, 60609]),
(ward_email:TEXT),
(ward_office_phone:TEXT, Examples: [872.206.2685, 312.643.2299, 773.373.9273]),
(ward_office_fax:TEXT, Examples: [312.448.8829, 773.536.7296, 773.324.1585]),
(city_hall_office_room:INTEGER, Examples: [200, 305, 300]),
(city_hall_office_phone:TEXT, Examples: [312.744.6836, 312.744.8734, 312.744.2690]),
(city_hall_office_fax:TEXT, Examples: [312.744.6712, 312.744.7738, 312.744.3195]),
(Population:INTEGER, Examples: [56149, 55805, 53039])
]
# Table: Crime
[
(report_no:INTEGER, Primary Key, Examples: [23757, 23758, 23759]),
(case_number:TEXT, Examples: [JB100159, JB100522, JB100839]),
(date:TEXT, Examples: [1/1/2018 2:46, 1/1/2018 11:33, 1/1/2018 18:27]),
(block:TEXT, Examples: [039XX W CORNELIA AVE]),
(iucr_no:TEXT, Examples: [110, 143B, 1310]),
(location_description:TEXT, Examples: [AUTO, APARTMENT, ALLEY]),
(arrest:TEXT, Examples: [FALSE, TRUE]),
(domestic:TEXT, Examples: [FALSE, TRUE]),
(beat:INTEGER, Examples: [1732, 1935, 935]),
(district_no:INTEGER, Examples: [17, 19, 9]),
(ward_no:INTEGER, Examples: [30, 43, 3]),
(community_area_no:INTEGER, Examples: [21, 7, 37]),
(fbi_code_no:TEXT, Examples: [01A, 15, 14]),
(latitude:TEXT, Examples: [41.94456125, 41.92972657, 41.808168]),
(longitude:TEXT, Examples: [-87.72668181, -87.64092074, -87.63333646])
]
# Table: Neighborhood
[
(neighborhood_name:TEXT, Primary Key, Examples: [Albany Park, Altgeld Gardens, Andersonville]),
(community_area_no:INTEGER, Examples: [14, 54, 77])
]
# Table: District
[
(district_no:INTEGER, Primary Key, Examples: [1, 2, 3]),
(district_name:TEXT, Examples: [Central, Wentworth, Grand Crossing]),
(address:TEXT, Examples: [1718 South State Street]),
(zip_code:INTEGER, Examples: [60616, 60609, 60637]),
(commander:TEXT, Examples: [Jake M. Alderden, Joshua Wallace, Eve T. Quarterman]),
(email:TEXT, Examples: [ CAPS001District@chicagopolice.org]),
(phone:TEXT, Examples: [312-745-4290, 312-747-8366, 312-747-8201]),
(fax:TEXT, Examples: [312-745-3694, 312-747-5396, 312-747-5479]),
(tty:TEXT, Examples: [312-745-3693, 312-747-6656, 312-747-9168]),
(twitter:TEXT, Examples: [ ChicagoCAPS01,  ChicagoCAPS02,  ChicagoCAPS03])
]
【Foreign keys】
Crime.ward_no=Ward.ward_no
Crime.iucr_no=IUCR.iucr_no
Crime.district_no=District.district_no
Crime.community_area_no=Community_Area.community_area_no
Crime.fbi_code_no=FBI_Code.fbi_code_no
Neighborhood.community_area_no=Community_Area.community_area_no

    【Question】
    Calculate the percentage of the domestic violence cases handled by Christopher Taliaferro. Among them, list report numbers of cases that happened in the bank. domestic violence refers to domestic = 'TRUE'; report number refers to report_no; in the bank refers to location_description = 'BANK'; percentage = divide(count(report_no where domestic = 'TRUE'), count(report_no)) * 100%

    【Evidence】
    domestic violence refers to domestic = 'TRUE'; report number refers to report_no; in the bank refers to location_description = 'BANK'; percentage = divide(count(report_no where domestic = 'TRUE'), count(report_no)) * 100%

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CAST(COUNT(CASE WHEN T1.domestic = 'TRUE' THEN T1.report_no END) AS REAL) * 100 / COUNT(T1.report_no), COUNT(CASE WHEN T1.domestic = 'TRUE' AND T1.location_description = 'BANK' THEN T1.report_no END) AS "number" FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T2.alderman_first_name = 'Christopher' AND T2.alderman_last_name = 'Taliaferro'