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】
    What is the percentage of crime cases that have been classified as "drug abuse" by the FBI and happened on the street? "Drug Abuse" is the title of crime; happened on the street refers to location_description = 'STREET';  percentage = Divide (Count(fbi_code_no where location_description = 'STREET'), Count(fbi_code_no)) * 100

    【Evidence】
    "Drug Abuse" is the title of crime; happened on the street refers to location_description = 'STREET';  percentage = Divide (Count(fbi_code_no where location_description = 'STREET'), Count(fbi_code_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(SUM(CASE WHEN T2.title = 'Drug Abuse' AND T1.location_description = 'STREET' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.fbi_code_no) FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no