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

    【Schema】
    【DB_ID】 student_club
【Schema】
# Table: major
[
(major_id:TEXT, Primary Key, Examples: [rec06DF6vZ1CyPKpc, rec09LedkREyskCNv, rec0Eanv576RhQllI]),
(major_name:TEXT, Examples: [Outdoor Product Design and Development]),
(department:TEXT),
(college:TEXT, Examples: [College of Agriculture and Applied Sciences])
]
# Table: budget
[
(budget_id:TEXT, Primary Key, Examples: [rec0QmEc3cSQFQ6V2, rec1bG6HSft7XIvTP, rec1z6ISJU2HdIsVm]),
(category:TEXT, Examples: [Advertisement, Food, Speaker Gifts]),
(spent:REAL, Examples: [67.81, 121.14, 20.2]),
(remaining:REAL, Examples: [7.19, 28.86, -0.199999999999999]),
(amount:INTEGER, Examples: [75, 150, 20]),
(event_status:TEXT, Examples: [Closed, Open, Planning]),
(link_to_event:TEXT, Examples: [recI43CzsZ0Q625ma, recggMW2eyCYceNcy, recJ4Witp9tpjaugn])
]
# Table: member
[
(member_id:TEXT, Primary Key, Examples: [rec1x5zBFIqoOuPW8, rec280Sk7o31iG0Tx, rec28ORZgcm1dtqBZ]),
(first_name:TEXT, Examples: [Angela, Grant, Luisa]),
(last_name:TEXT, Examples: [Sanders, Gilmour, Guidi]),
(email:TEXT),
(position:TEXT, Examples: [Member, Inactive, President]),
(t_shirt_size:TEXT, Examples: [Medium, X-Large, Large]),
(phone:TEXT, Examples: [(651) 928-4507, 403-555-1310, 442-555-5882]),
(zip:INTEGER, Examples: [55108, 29440, 10002]),
(link_to_major:TEXT, Examples: [recxK3MHQFbR9J5uO, rec7BxKpjJ7bNph3O, recdIBgeU38UbV2sy])
]
# Table: zip_code
[
(zip_code:INTEGER, Primary Key, Examples: [501, 544, 601]),
(type:TEXT, Examples: [Unique, Standard, PO Box]),
(city:TEXT, Examples: [Holtsville, Adjuntas, Aguada]),
(county:TEXT, Examples: [Suffolk County, Adjuntas Municipio, Aguada Municipio]),
(state:TEXT, Examples: [New York, Puerto Rico, Massachusetts]),
(short_state:TEXT, Examples: [NY, PR, MA])
]
# Table: income
[
(income_id:TEXT, Primary Key, Examples: [rec0s9ZrO15zhzUeE, rec7f5XMQZexgtQJo, rec8BUJa8GXUjiglg]),
(date_received:TEXT, Examples: [2019-10-17, 2019-09-04, 2019-10-08]),
(amount:INTEGER, Examples: [50, 200, 3000]),
(source:TEXT, Examples: [Dues, Fundraising, School Appropration]),
(notes:TEXT),
(link_to_member:TEXT, Examples: [reccW7q1KkhSKZsea, recTjHY5xXhvkCdVT, recUdRhbhcEO1Hk5r])
]
# Table: attendance
[
(link_to_event:TEXT, Primary Key, Examples: [rec2N69DMcrqN9PJC, rec5XDvJLyxDsGZWc, recEVTik3MlqbvLFi]),
(link_to_member:TEXT, Primary Key, Examples: [recD078PnS3x2doBe, recP6DJPyi5donvXL, rec28ORZgcm1dtqBZ])
]
# Table: expense
[
(expense_id:TEXT, Primary Key, Examples: [rec017x6R3hQqkLAo, rec1nIjoZKTYayqZ6, rec1oMgNFt7Y0G40x]),
(expense_description:TEXT, Examples: [Post Cards, Posters, Water, Cookies, Pizza]),
(expense_date:TEXT, Examples: [2019-08-20, 2019-10-08, 2019-09-10]),
(cost:REAL, Examples: [122.06, 20.2, 51.81]),
(approved:TEXT, Examples: [true]),
(link_to_member:TEXT, Examples: [rec4BLdZHS2Blfp4v, recro8T1MPMwRadVH, recD078PnS3x2doBe]),
(link_to_budget:TEXT, Examples: [recvKTAWAFKkVNnXQ, recy8KY5bUdzF81vv, recwXIiKoBMjXJsGZ])
]
# Table: event
[
(event_id:TEXT, Primary Key, Examples: [rec0Si5cQ4rJRVzd6, rec0akZnLLpGUloLH, rec0dZPcWXF0QjNnE]),
(event_name:TEXT, Examples: [March Meeting]),
(event_date:TEXT, Examples: [2020-03-10T12:00:00, 2020-01-14T09:30:00, 2019-11-24T09:00:00]),
(type:TEXT, Examples: [Meeting, Election, Game]),
(notes:TEXT),
(location:TEXT, Examples: [MU 215]),
(status:TEXT, Examples: [Open, Planning, Closed])
]
【Foreign keys】
budget.link_to_event=event.event_id
member.link_to_major=major.major_id
member.zip=zip_code.zip_code
income.link_to_member=member.member_id
attendance.link_to_event=event.event_id
attendance.link_to_member=member.member_id
expense.link_to_budget=budget.budget_id
expense.link_to_member=member.member_id

    【Question】
    How many of the members' hometowns are from Maryland state?

    【Evidence】
    

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

SQL: SELECT COUNT(T2.member_id) FROM zip_code AS T1 INNER JOIN member AS T2 ON T1.zip_code = T2.zip WHERE T1.state = 'Maryland'