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100 | financial | [
"client",
"district"
] | Among the account opened, how many female customers who were born before 1950 and stayed in Slokolov? | SELECT COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.gender = 'F' AND STRFTIME('%Y', T2.birth_date) < '1950' AND T1.A2 = 'Slokolov' | moderate | Customers refer to clients; Female refers to gender = 'F'; Names of districts appear in column A2 |
101 | financial | [
"trans"
] | List out the accounts who have the earliest trading date in 1995 ? | SELECT account_id FROM trans WHERE STRFTIME('%Y', date) = '1995' ORDER BY date ASC LIMIT 1 | simple | |
102 | financial | [
"trans",
"account"
] | State different accounts who have account opening date before 1997 and own an amount of money greater than 3000USD | SELECT DISTINCT T2.account_id FROM trans AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id WHERE STRFTIME('%Y', T2.date) < '1997' AND T1.amount > 3000 | simple | |
103 | financial | [
"client",
"card",
"disp"
] | Which client issued his/her card in 1994/3/3, give his/her client id. | SELECT T2.client_id FROM client AS T1 INNER JOIN disp AS T2 ON T1.client_id = T2.client_id INNER JOIN card AS T3 ON T2.disp_id = T3.disp_id WHERE T3.issued = '1994-03-03' | simple | |
104 | financial | [
"account",
"trans"
] | The transaction of 840 USD happened in 1998/10/14, when was this account opened? | SELECT T1.date FROM account AS T1 INNER JOIN trans AS T2 ON T1.account_id = T2.account_id WHERE T2.amount = 840 AND T2.date = '1998-10-14' | simple | |
105 | financial | [
"account",
"loan"
] | There was a loan approved in 1994/8/25, where was that account opened, give the district Id of the branch. | SELECT T1.district_id FROM account AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T2.date = '1994-08-25' | simple | |
106 | financial | [
"account",
"trans"
] | What is the biggest amount of transaction that the client whose card was opened in 1996/10/21 made? | SELECT T2.amount FROM account AS T1 INNER JOIN trans AS T2 ON T1.account_id = T2.account_id WHERE T1.date = '1996-10-21' ORDER BY T2.amount DESC LIMIT 1 | simple | |
107 | financial | [
"client",
"district"
] | What is the gender of the oldest client who opened his/her account in the highest average salary branch? | SELECT T2.gender FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id ORDER BY T1.A11 DESC, T2.birth_date ASC LIMIT 1 | simple | Earlier birthdate refers to older age; A11 refers to average salary |
108 | financial | [
"trans",
"loan"
] | For the client who applied the biggest loan, what was his/her first amount of transaction after opened the account? | SELECT T2.amount FROM loan AS T1 INNER JOIN trans AS T2 ON T1.account_id = T2.account_id ORDER BY T1.amount DESC, T2.date ASC LIMIT 1 | simple | |
109 | financial | [
"client",
"district"
] | How many clients opened their accounts in Jesenik branch were women? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.gender = 'F' AND T2.A2 = 'Jesenik' | simple | A2 has region names; Woman and female share the same meaning; female refers to gender = 'F' |
110 | financial | [
"trans",
"disp"
] | What is the disposition id of the client who made 5100 USD transaction in 1998/9/2? | SELECT T1.disp_id FROM disp AS T1 INNER JOIN trans AS T2 ON T1.account_id = T2.account_id WHERE T2.date = '1998-09-02' AND T2.amount = 5100 | simple | |
111 | financial | [
"account",
"district"
] | How many accounts were opened in Litomerice in 1996? | SELECT COUNT(T2.account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id WHERE STRFTIME('%Y', T2.date) = '1996' AND T1.A2 = 'Litomerice' | simple | A2 refers to district name; Litomerice is one of district names. |
112 | financial | [
"client",
"district"
] | For the female client who was born in 1976/1/29, which district did she opened her account? | SELECT T1.A2 FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.birth_date = '1976-01-29' AND T2.gender = 'F' | simple | Female refers to gender = 'F'; A2 refers to district names |
113 | financial | [
"client",
"account",
"loan"
] | For the client who applied 98832 USD loan in 1996/1/3, when was his/her birthday? | SELECT T3.birth_date FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T1.date = '1996-01-03' AND T1.amount = 98832 | simple | |
114 | financial | [
"account",
"district"
] | For the first client who opened his/her account in Prague, what is his/her account ID? | SELECT T1.account_id FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.A3 = 'Prague' ORDER BY T1.date ASC LIMIT 1 | simple | A3 stands for region names |
115 | financial | [
"client",
"district"
] | For the branch which located in the south Bohemia with biggest number of inhabitants, what is the percentage of the male clients? | SELECT CAST(SUM(T1.gender = 'M') AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.A3 = 'south Bohemia' GROUP BY T2.A4 ORDER BY T2.A4 DESC LIMIT 1 | challenging | Percentage of the male clients = DIVIDE(COUNT(male clients), COUNT(clients)) * 100%; Male refers to gender = 'M', A3 is the region name. A4 contains the information about inhabitants. |
116 | financial | [
"account",
"trans",
"loan"
] | For the client who first applied the loan in 1993/7/5, what is the increase rate of his/her account balance from 1993/3/22 to 1998/12/27? | SELECT CAST((SUM(IIF(T3.date = '1998-12-27', T3.balance, 0)) - SUM(IIF(T3.date = '1993-03-22', T3.balance, 0))) AS REAL) * 100 / SUM(IIF(T3.date = '1993-03-22', T3.balance, 0)) FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN trans AS T3 ON T3.account_id = T2.account_id WHERE T1.date = '1993-07-05' | challenging | Increase rate of his/her account balance = [(balance of date A - balance of date B) / balance of Date B] * 100% |
117 | financial | [
"loan"
] | What is the percentage of loan amount that has been fully paid with no issue. | SELECT (CAST(SUM(CASE WHEN status = 'A' THEN amount ELSE 0 END) AS REAL) * 100) / SUM(amount) FROM loan | moderate | Loan paid with no issue means contract finished, no problems; status = 'A' means contract finished, no problems; Percentage of accounts by condition = [(total(amount) & condition) / (total amount)] * 100% |
118 | financial | [
"loan"
] | For loan amount less than USD100,000, what is the percentage of accounts that is still running with no issue. | SELECT CAST(SUM(status = 'C') AS REAL) * 100 / COUNT(amount) FROM loan WHERE amount < 100000 | moderate | Status = 'C' stands for running contract, ok so far; Percentage of accounts by condition = [(total(amount) & condition) / (total amount)] * 100%. |
119 | financial | [
"account",
"district"
] | For accounts in 1993 with statement issued after transaction, list the account ID, district name and district region. | SELECT T1.account_id, T2.A2, T2.A3 FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.frequency = 'POPLATEK PO OBRATU' AND STRFTIME('%Y', T1.date)= '1993' | moderate | Records about district names could be found in A2; A3 contains the information about regions. 'POPLATEK PO OBRATU' stands for issuance after transaction |
120 | financial | [
"account",
"district"
] | From Year 1995 to 2000, who are the accounts holders from 'east Bohemia'. State the account ID the frequency of statement issuance. | SELECT T1.account_id, T1.frequency FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.A3 = 'east Bohemia' AND STRFTIME('%Y', T1.date) BETWEEN '1995' AND '2000' | moderate | Accounts holder refers to the person who own this account. |
121 | financial | [
"account",
"district"
] | List account ID and account opening date for accounts from 'Prachatice'. | SELECT T1.account_id, T1.date FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.A2 = 'Prachatice' | simple | A2 refers to the names of districts. |
122 | financial | [
"account",
"district",
"loan"
] | State the district and region for loan ID '4990'. | SELECT T2.A2, T2.A3 FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T1.account_id = T3.account_id WHERE T3.loan_id = 4990 | simple | A2, A3 contains the information about district and region respectively. |
123 | financial | [
"account",
"district",
"loan"
] | Provide the account ID, district and region for loan amount greater than USD300,000. | SELECT T1.account_id, T2.A2, T2.A3 FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T1.account_id = T3.account_id WHERE T3.amount > 300000 | simple | A2 contains district names and A3 contains region names. |
124 | financial | [
"account",
"district",
"loan"
] | List the loan ID, district and average salary for loan with duration of 60 months. | SELECT T3.loan_id, T2.A2, T2.A11 FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T1.account_id = T3.account_id WHERE T3.duration = 60 | simple | A3 refers to regions; A11 refers to average salary |
125 | financial | [
"account",
"district",
"loan"
] | For loans contracts which are still running where client are in debt, list the district of the and the state the percentage unemployment rate increment from year 1995 to 1996. | SELECT CAST((T3.A13 - T3.A12) AS REAL) * 100 / T3.A12 FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.status = 'D' | challenging | Unemployment increment rate in percentage = [(unemployment rate 2016 - unemployment rate 2015) / unemployment rate 2015] * 100%; unemployment rate 2015 appears in the A12; unemployment rate 2016 appears in the A13; Loan contracts which are still running where client are in debt can be presented as status = 'D' |
126 | financial | [
"account",
"district"
] | Calculate the percentage of account from 'Decin' district for all accounts are opened in 1993. | SELECT CAST(SUM(T1.A2 = 'Decin') AS REAL) * 100 / COUNT(account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id WHERE STRFTIME('%Y', T2.date) = '1993' | simple | A2 contains the information about district. |
127 | financial | [
"account"
] | List the account IDs with monthly issuance of statements. | SELECT account_id FROM account WHERE Frequency = 'POPLATEK MESICNE' | simple | 'POPLATEK MESICNE' stands for monthly issuance |
128 | financial | [
"client",
"district"
] | List the top ten districts, by descending order, from the highest to the lowest, the number of female account holders. | SELECT T2.A2, COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.gender = 'F' GROUP BY T2.district_id, T2.A2 ORDER BY COUNT(T1.client_id) DESC LIMIT 10 | moderate | A2 refers to districts; Female refers to gender = 'F' |
129 | financial | [
"account",
"trans",
"district"
] | Which are the top ten withdrawals (non-credit card) by district names for the month of January 1996? | SELECT T1.district_id FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE T3.type = 'VYDAJ' AND T2.date LIKE '1996-01%' ORDER BY A2 ASC LIMIT 10 | moderate | Non-credit card withdraws refers to type = 'VYDAJ'; January 1996 can be found by date LIKE '1996-01%' in the database; A2 means district names |
130 | financial | [
"client",
"district",
"disp"
] | How many of the account holders in South Bohemia still do not own credit cards? | SELECT COUNT(T3.account_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id INNER JOIN disp AS T3 ON T2.client_id = T3.client_id WHERE T1.A3 = 'south Bohemia' AND T3.type != 'OWNER' | moderate | A3 contains the region names; South Bohemia is one of region names. |
131 | financial | [
"account",
"district",
"loan"
] | Which district has highest active loan? | SELECT T2.A3 FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T1.account_id = T3.account_id WHERE T3.status IN ('C', 'D') GROUP BY T2.A3 ORDER BY SUM(T3.amount) DESC LIMIT 1 | moderate | A3 refers to district names; Active loan refers to running contracts; Status = 'C' stands for running contract, OK so far; Status = 'D' stands for running contract, client in debt |
132 | financial | [
"client",
"account",
"loan"
] | What is the average loan amount by male borrowers? | SELECT AVG(T3.amount) FROM client AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T2.account_id = T3.account_id WHERE T1.gender = 'M' | simple | Male refers to gender = 'M' |
133 | financial | [
"district"
] | In 1996, which districts have the highest unemployment rate? List their branch location and district name. | SELECT district_id, A2 FROM district ORDER BY A13 DESC LIMIT 1 | simple | A2 refers to district names; A13 refers to unemploymant rate in 1996 |
134 | financial | [
"account",
"district"
] | In the branch where the largest number of crimes were committed in 1996, how many accounts were opened? | SELECT COUNT(T2.account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id GROUP BY T1.A16 ORDER BY T1.A16 DESC LIMIT 1 | simple | A16 stands for no. of committed crimes 1996 |
135 | financial | [
"trans",
"account"
] | After making a credit card withdrawal, how many account/s with monthly issuance has a negative balance? | SELECT COUNT(T1.account_id) FROM trans AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id WHERE T1.balance < 0 AND T1.operation = 'VYBER KARTOU' AND T2.frequency = 'POPLATEK MESICNE' | moderate | Negative balance means balance < 0; Operation = 'VYBER KARTOU' stands for credit card withdraw. Frequency = 'POPLATEK MESICNE' stands for monthly issurance |
136 | financial | [
"account",
"loan"
] | Between 1/1/1995 and 12/31/1997, how many loans in the amount of at least 250,000 per account that chose monthly statement issuance were approved? | SELECT COUNT(T1.account_id) FROM account AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T2.date BETWEEN '1995-01-01' AND '1997-12-31' AND T1.frequency = 'POPLATEK MESICNE' AND T2.amount > 250000 | moderate | Frequency = 'POPLATEK MESICNE' stands for monthly issurance |
137 | financial | [
"account",
"district",
"loan"
] | How many accounts have running contracts in Branch location 1? | SELECT COUNT(T1.account_id) FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T1.account_id = T3.account_id WHERE T1.district_id = 1 AND (T3.status = 'C' OR T3.status = 'D') | moderate | Status = 'C' stands for running contract, OK so far; Status = 'D' stands for running contract, client in debt |
138 | financial | [
"client",
"district"
] | In the branch where the second-highest number of crimes were committed in 1995 occurred, how many male clients are there? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.gender = 'M' AND T2.A15 = (SELECT T3.A15 FROM district AS T3 ORDER BY T3.A15 DESC LIMIT 1, 1) | moderate | Male refers to gender = 'M'; A15 stands for no. of commited crimes 1995 |
139 | financial | [
"card",
"disp"
] | How many high-level credit cards have "disponent" type of disposition? | SELECT COUNT(T1.card_id) FROM card AS T1 INNER JOIN disp AS T2 ON T1.disp_id = T2.disp_id WHERE T1.type = 'gold' AND T2.type = 'DISPONENT' | simple | High-level credit cards refers to the cards with the gold type. |
140 | financial | [
"account",
"district"
] | How many accounts are there in the district of "Pisek"? | SELECT COUNT(T1.account_id) FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.A2 = 'Pisek' | simple | A2 refers to district name |
141 | financial | [
"account",
"trans",
"district"
] | Which districts have transactions greater than USS$10,000 in 1997? | SELECT T1.district_id FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T1.account_id = T3.account_id WHERE STRFTIME('%Y', T3.date) = '1997' GROUP BY T1.district_id HAVING SUM(T3.amount) > 10000 | simple | |
142 | financial | [
"trans",
"account",
"district"
] | Which accounts placed orders for household payment in Pisek? | SELECT DISTINCT T2.account_id FROM trans AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.k_symbol = 'SIPO' AND T3.A2 = 'Pisek' | simple | k_symbol = 'SIPO' refers to household payment |
143 | financial | [
"card",
"disp"
] | What are the accounts that have both gold and junior credit cards? | SELECT T2.account_id FROM card AS T1 INNER JOIN disp AS T2 ON T1.disp_id = T2.disp_id WHERE T1.type IN ('gold', 'junior') | simple | |
144 | financial | [
"card",
"trans",
"disp"
] | How much is the average amount in credit card made by account holders in a month, in year 2021? | SELECT AVG(T3.amount) FROM card AS T1 INNER JOIN disp AS T2 ON T1.disp_id = T2.disp_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE STRFTIME('%Y', T3.date) = '2021' AND T3.operation = 'VYBER KARTOU' | moderate | Operation = 'VYBER KARTOU' refers to credit card withdrawn |
145 | financial | [
"trans",
"account"
] | Who are the account holder identification numbers whose spent per month on the credit card is less than the average, in 1998? | SELECT T1.account_id FROM trans AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id WHERE STRFTIME('%Y', T1.date) = '1998' AND T1.operation = 'VYBER KARTOU' AND T1.amount < (SELECT AVG(amount) FROM trans WHERE STRFTIME('%Y', date) = '1998') | moderate | Operation = 'VYBER KARTOU' refers to credit card withdrawal |
146 | financial | [
"client",
"card",
"disp",
"loan"
] | Who are the female account holders who own credit cards and also have loans? | SELECT T1.client_id FROM client AS T1 INNER JOIN disp AS T2 ON T1.client_id = T2.client_id INNER JOIN loan AS T3 ON T2.account_id = T3.account_id INNER JOIN card AS T4 ON T2.disp_id = T4.disp_id WHERE T1.gender = 'F' | simple | Female refers to gender = 'F' |
147 | financial | [
"client",
"district"
] | How many female clients' accounts are in the region of South Bohemia? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.gender = 'F' AND T2.A3 = 'south Bohemia' | simple | Female refers to gender = 'F'; A3 contains the region 'south Bohemia' |
148 | financial | [
"account",
"district",
"disp"
] | Please list the accounts whose district is Tabor that are eligible for loans. | SELECT T2.account_id FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN disp AS T3 ON T2.account_id = T3.account_id WHERE T3.type = 'OWNER' AND T1.A2 = 'Tabor' | moderate | District refers to column A2; when the account type = 'OWNER', it's eligible for loans |
149 | financial | [
"account",
"district",
"disp"
] | Please list the account types that are not eligible for loans, and the average income of residents in the district where the account is located exceeds $8000 but is no more than $9000. | SELECT T3.type FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN disp AS T3 ON T2.account_id = T3.account_id WHERE T3.type != 'OWNER' AND T1.A11 BETWEEN 8000 AND 9000 | challenging | A11 represents the average salary; Salary and income share the similar meanings; when the account type = 'OWNER', it's eligible for loans |
150 | financial | [
"account",
"trans",
"district"
] | How many accounts in North Bohemia has made a transaction with the partner's bank being AB? | SELECT COUNT(T2.account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE T3.bank = 'AB' AND T1.A3 = 'north Bohemia' | moderate | A3 contains the region names; North Bohemia is a region. |
151 | financial | [
"account",
"trans",
"district"
] | Please list the name of the districts with accounts that made withdrawal transactions. | SELECT DISTINCT T1.A2 FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE T3.type = 'VYDAJ' | moderate | A2 refers to district name; type = 'VYDAJ' stands for withdrawal transactions |
152 | financial | [
"account",
"district"
] | What is the average number of crimes committed in 1995 in regions where the number exceeds 4000 and the region has accounts that are opened starting from the year 1997? | SELECT AVG(T1.A15) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id WHERE STRFTIME('%Y', T2.date) >= '1997' AND T1.A15 > 4000 | moderate | A3 refers to region names; A15 stands for the average number of crimes commited in 1995. |
153 | financial | [
"card",
"disp"
] | How many 'classic' cards are eligible for loan? | SELECT COUNT(T1.card_id) FROM card AS T1 INNER JOIN disp AS T2 ON T1.disp_id = T2.disp_id WHERE T1.type = 'classic' AND T2.type = 'Owner' | simple | when the account type = 'OWNER', it's eligible for loan |
154 | financial | [
"client",
"district"
] | How many male clients in 'Hl.m. Praha' district? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.gender = 'M' AND T2.A2 = 'Hl.m. Praha' | simple | District data appears in the A2; Male means that gender = 'M' |
155 | financial | [
"card"
] | How many percent of 'Gold' cards were issued prior to 1998? | SELECT CAST(SUM(type = 'gold') AS REAL) * 100 / COUNT(card_id) FROM card WHERE STRFTIME('%Y', issued) < '1998' | simple | Percent of Gold = [ count(type = 'gold' and issued date < 1998) / count(all cards)] * 100% |
156 | financial | [
"disp",
"loan"
] | Who is the owner of the account with the largest loan amount? | SELECT T1.client_id FROM disp AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T1.type = 'OWNER' ORDER BY T2.amount DESC LIMIT 1 | simple | |
157 | financial | [
"account",
"district"
] | What is the number of committed crimes in 1995 in the district of the account with the id 532? | SELECT T1.A15 FROM district AS T1 INNER JOIN `account` AS T2 ON T1.district_id = T2.district_id WHERE T2.account_id = 532 | simple | A15 contains information about number of committed crimes in 1995 |
158 | financial | [
"account",
"district",
"order"
] | What is the district Id of the account that placed the order with the id 33333? | SELECT T3.district_id FROM `order` AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.order_id = 33333 | simple | |
159 | financial | [
"client",
"account",
"trans",
"disp"
] | List all the withdrawals in cash transactions that the client with the id 3356 makes. | SELECT T4.trans_id FROM client AS T1 INNER JOIN disp AS T2 ON T1.client_id = T2.client_id INNER JOIN account AS T3 ON T2.account_id = T3.account_id INNER JOIN trans AS T4 ON T3.account_id = T4.account_id WHERE T1.client_id = 3356 AND T4.operation = 'VYBER' | simple | operation = 'VYBER' refers to withdrawal in cash |
160 | financial | [
"account",
"loan"
] | Among the weekly issuance accounts, how many have a loan of under 200000? | SELECT COUNT(T1.account_id) FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id WHERE T2.frequency = 'POPLATEK TYDNE' AND T1.amount < 200000 | simple | frequency = 'POPLATEK TYDNE' stands for weekly issuance |
161 | financial | [
"client",
"card",
"disp"
] | What type of credit card does the client with the id 13539 own? | SELECT T3.type FROM disp AS T1 INNER JOIN client AS T2 ON T1.client_id = T2.client_id INNER JOIN card AS T3 ON T1.disp_id = T3.disp_id WHERE T2.client_id = 13539 | simple | |
162 | financial | [
"client",
"district"
] | What is the region of the client with the id 3541 from? | SELECT T2.district_id, T1.A3 FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.client_id = 3541 | simple | A3 refers to region |
163 | financial | [
"account",
"district",
"loan"
] | Which district has the most accounts with loan contracts finished with no problems? | SELECT T1.district_id FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T2.account_id = T3.account_id WHERE T3.status = 'A' GROUP BY T1.district_id ORDER BY COUNT(T2.account_id) DESC LIMIT 1 | moderate | status = 'A' refers to loan contracts finished with no problems |
164 | financial | [
"client",
"account",
"order"
] | Who placed the order with the id 32423? | SELECT T3.client_id FROM `order` AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T1.order_id = 32423 | simple | |
165 | financial | [
"account",
"trans",
"district"
] | Please list all the transactions made by accounts from district 5. | SELECT T3.trans_id FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE T1.district_id = 5 | simple | |
166 | financial | [
"account",
"district"
] | How many of the accounts are from Jesenik district? | SELECT COUNT(T2.account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id WHERE T1.A2 = 'Jesenik' | simple | |
167 | financial | [
"card",
"disp"
] | List all the clients' IDs whose junior credit cards were issued after 1996. | SELECT T2.client_id FROM card AS T1 INNER JOIN disp AS T2 ON T1.disp_id = T2.disp_id WHERE T1.type = 'junior' AND T1.issued >= '1997-01-01' | simple | After 1996 means date > = '1997-01-01 |
168 | financial | [
"client",
"district"
] | What percentage of clients who opened their accounts in the district with an average salary of over 10000 are women? | SELECT CAST(SUM(T2.gender = 'F') AS REAL) * 100 / COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.A11 > 10000 | moderate | Female refers to gender = 'F'; Woman and female are closed; Average salary can be found in A11 |
169 | financial | [
"client",
"account",
"disp",
"loan"
] | What was the growth rate of the total amount of loans across all accounts for a male client between 1996 and 1997? | SELECT CAST((SUM(CASE WHEN STRFTIME('%Y', T1.date) = '1997' THEN T1.amount ELSE 0 END) - SUM(CASE WHEN STRFTIME('%Y', T1.date) = '1996' THEN T1.amount ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN STRFTIME('%Y', T1.date) = '1996' THEN T1.amount ELSE 0 END) FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN disp AS T3 ON T3.account_id = T2.account_id INNER JOIN client AS T4 ON T4.client_id = T3.client_id WHERE T4.gender = 'M' AND T3.type = 'OWNER' | challenging | Growth rate = (sum of amount_1997 - sum of amount_1996) / (sum of amount_1996) * 100%; Male refers to gender = 'M' |
170 | financial | [
"trans"
] | How many credit card withdrawals were recorded after 1995? | SELECT COUNT(account_id) FROM trans WHERE STRFTIME('%Y', date) > '1995' AND operation = 'VYBER KARTOU' | simple | Operation = 'VYBER KARTOU' means credit card withdrawals |
171 | financial | [
"district"
] | What was the difference in the number of crimes committed in East and North Bohemia in 1996? | SELECT SUM(IIF(A3 = 'East Bohemia', A16, 0)) - SUM(IIF(A3 = 'North Bohemia', A16, 0)) FROM district | moderate | Difference in no. of committed crimes between 2 regions = Total no. of committed crimes in 1996 in North Bohemia - Total no. of committed crimes in 1996 in East Bohemia. A3 refers to region. Data about no. of committed crimes 1996 appears in A16 |
172 | financial | [
"disp"
] | How many owner and disponent dispositions are there from account number 1 to account number 10? | SELECT SUM(type = 'Owner') , SUM(type = 'Disponent') FROM disp WHERE account_id BETWEEN 1 AND 10 | simple | |
173 | financial | [
"account",
"order"
] | How often does account number 3 request an account statement to be released? What was the aim of debiting 3539 in total? | SELECT T1.frequency, T2.k_symbol FROM account AS T1 INNER JOIN `order` AS T2 ON T1.account_id = T2.account_id WHERE T1.account_id = 3 AND T2.amount = 3539 | simple | k_symbol refers to the purpose of payments |
174 | financial | [
"client",
"account",
"disp"
] | What year was account owner number 130 born? | SELECT STRFTIME('%Y', T1.birth_date) FROM client AS T1 INNER JOIN disp AS T3 ON T1.client_id = T3.client_id INNER JOIN account AS T2 ON T3.account_id = T2.account_id WHERE T2.account_id = 130 | simple | |
175 | financial | [
"account",
"disp"
] | How many accounts have an owner disposition and request for a statement to be generated upon a transaction? | SELECT COUNT(T1.account_id) FROM account AS T1 INNER JOIN disp AS T2 ON T1.account_id = T2.account_id WHERE T2.type = 'OWNER' AND T1.frequency = 'POPLATEK PO OBRATU' | moderate | Frequency = 'POPLATEK PO OBRATU' stands for issuance after transaction |
176 | financial | [
"client",
"account",
"loan"
] | What is the amount of debt that client number 992 has, and how is this client doing with payments? | SELECT T3.amount, T3.status FROM client AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T2.account_id = T3.account_id WHERE T1.client_id = 992 | simple | |
177 | financial | [
"client",
"account",
"trans"
] | What is the sum that client number 4's account has following transaction 851? Who owns this account, a man or a woman? | SELECT T3.balance, T1.gender FROM client AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE T1.client_id = 4 AND T3.trans_id = 851 | simple | |
178 | financial | [
"client",
"card",
"disp"
] | Which kind of credit card does client number 9 possess? | SELECT T3.type FROM client AS T1 INNER JOIN disp AS T2 ON T1.client_id = T2.client_id INNER JOIN card AS T3 ON T2.disp_id = T3.disp_id WHERE T1.client_id = 9 | simple | |
179 | financial | [
"client",
"account",
"trans"
] | How much, in total, did client number 617 pay for all of the transactions in 1998? | SELECT SUM(T3.amount) FROM client AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN trans AS T3 ON T2.account_id = T3.account_id WHERE STRFTIME('%Y', T3.date)= '1998' AND T1.client_id = 617 | simple | |
180 | financial | [
"client",
"account",
"district"
] | Please provide a list of clients who were born between 1983 and 1987 and whose account branch is in East Bohemia, along with their IDs. | SELECT T1.client_id, T3.account_id FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN account AS T3 ON T2.district_id = T3.district_id WHERE T2.A3 = 'east Bohemia' AND STRFTIME('%Y', T1.birth_date) BETWEEN '1983' AND '1987' | moderate | |
181 | financial | [
"client",
"account",
"loan"
] | Please provide the IDs of the 3 female clients with the largest loans. | SELECT T1.client_id FROM client AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id INNER JOIN loan AS T3 ON T2.account_id = T3.account_id WHERE T1.gender = 'F' ORDER BY T3.amount DESC LIMIT 3 | simple | Female refers to gender = 'F' |
182 | financial | [
"client",
"trans",
"account"
] | How many male customers who were born between 1974 and 1976 have made a payment on their home in excess of $4000? | SELECT COUNT(T1.account_id) FROM trans AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE STRFTIME('%Y', T3.birth_date) BETWEEN '1974' AND '1976' AND T3.gender = 'M' AND T1.amount > 4000 AND T1.k_symbol = 'SIPO' | moderate | Man and male refers to gender = 'M'; 'SIPO' stands for household payment |
183 | financial | [
"account",
"district"
] | How many accounts in Beroun were opened after 1996? | SELECT COUNT(account_id) FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE STRFTIME('%Y', T1.date) > '1996' AND T2.A2 = 'Beroun' | simple | |
184 | financial | [
"client",
"card",
"disp"
] | How many female customers have a junior credit card? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN disp AS T2 ON T1.client_id = T2.client_id INNER JOIN card AS T3 ON T2.disp_id = T3.disp_id WHERE T1.gender = 'F' AND T3.type = 'junior' | simple | Female refers to gender = 'F' |
185 | financial | [
"client",
"district"
] | What proportion of customers who have accounts at the Prague branch are female? | SELECT CAST(SUM(T2.gender = 'F') AS REAL) / COUNT(T2.client_id) * 100 FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.A3 = 'Prague' | moderate | Female refers to gender = 'F'; Percentage of female clients in Prague branch = count[female clients with accounts in Prague branch / count(clients with accounts in Prague branch)] * 100%; A3 may contain information about Prague |
186 | financial | [
"client",
"account"
] | What percentage of male clients request for weekly statements to be issued? | SELECT CAST(SUM(T1.gender = 'M') AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id WHERE T2.frequency = 'POPLATEK TYDNE' | moderate | Percentage of male clients = [count(male clients who requested weekly statements / count(clients who requested weekly statements)] * 100%; Male means gender = 'M'; 'POPLATEK TYDNE' stands for weekly issuance |
187 | financial | [
"account",
"disp"
] | How many clients who choose statement of weekly issuance are User? | SELECT COUNT(T2.account_id) FROM account AS T1 INNER JOIN disp AS T2 ON T2.account_id = T1.account_id WHERE T1.frequency = 'POPLATEK TYDNE' AND T2.type = 'USER' | simple | Frequency = 'POPLATEK TYDNE' refers to weekly issuance |
188 | financial | [
"account",
"loan"
] | Among the accounts who have loan validity more than 24 months, list out the accounts that have the lowest approved amount and have account opening date before 1997. | SELECT T1.account_id FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id WHERE T1.duration > 24 AND STRFTIME('%Y', T2.date) < '1997' ORDER BY T1.amount ASC LIMIT 1 | moderate | |
189 | financial | [
"client",
"account",
"district"
] | Name the account numbers of female clients who are oldest and have lowest average salary? | SELECT T3.account_id FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN account AS T3 ON T2.district_id = T3.district_id WHERE T1.gender = 'F' ORDER BY T1.birth_date ASC, T2.A11 ASC LIMIT 1 | moderate | Female refers to 'F' in the gender; A11 contains information about average salary |
190 | financial | [
"client",
"district"
] | How many clients who were born in 1920 stay in east Bohemia? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE STRFTIME('%Y', T1.birth_date) = '1920' AND T2.A3 = 'east Bohemia' | simple | East Bohemia appears in the column A3, which refers to the region. |
191 | financial | [
"account",
"loan"
] | How many loan accounts are for pre-payment of duration of 24 months with weekly issuance of statement. | SELECT COUNT(T2.account_id) FROM account AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T2.duration = 24 AND T1.frequency = 'POPLATEK TYDNE' | simple | Frequency = 'POPLATEK TYDNE' referes to weekly statement |
192 | financial | [
"account",
"loan"
] | What is the average amount of loan which are still on running contract with statement issuance after each transaction? | SELECT AVG(T2.payments) FROM account AS T1 INNER JOIN loan AS T2 ON T1.account_id = T2.account_id WHERE T2.status IN ('C', 'D') AND T1.frequency = 'POPLATEK PO OBRATU' | moderate | status = 'C' stands for running contract, OK so far; status = 'D' stands for running contract, client in debt. 'POPLATEK PO OBRATU' stands for issuance after transaction |
193 | financial | [
"account",
"district",
"disp"
] | List all ID and district for clients that can only have the right to issue permanent orders or apply for loans. | SELECT T3.client_id, T2.district_id, T2.A2 FROM account AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN disp AS T3 ON T1.account_id = T3.account_id WHERE T3.type = 'OWNER' | moderate | Only the owner accounts have the right to issue permanent orders or apply for loans |
194 | financial | [
"card",
"disp",
"client"
] | Provide the IDs and age of the client with high level credit card, which is eligible for loans. | SELECT T1.client_id, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T3.birth_date) FROM disp AS T1 INNER JOIN card AS T2 ON T2.disp_id = T1.disp_id INNER JOIN client AS T3 ON T1.client_id = T3.client_id WHERE T2.type = 'gold' AND T1.type = 'OWNER' | moderate | When type is gold, the credit card is high-level |
195 | toxicology | [
"bond"
] | What is the most common bond type? | SELECT T.bond_type FROM ( SELECT bond_type, COUNT(bond_id) FROM bond GROUP BY bond_type ORDER BY COUNT(bond_id) DESC LIMIT 1 ) AS T | simple | most common bond type refers MAX(COUNT(bond_type)) |
196 | toxicology | [
"atom",
"molecule"
] | In the non-carcinogenic molecules, how many contain chlorine atoms? | SELECT COUNT(DISTINCT T1.molecule_id) FROM molecule AS T1 INNER JOIN atom AS T2 ON T1.molecule_id = T2.molecule_id WHERE T2.element = 'cl' AND T1.label = '-' | simple | non-carcinogenic molecules refers to label = '-'; chlorine atoms refers to element = 'cl' |
197 | toxicology | [
"atom",
"bond"
] | Calculate the average number of oxygen atoms in single-bonded molecules. | SELECT AVG(oxygen_count) FROM (SELECT T1.molecule_id, COUNT(T1.element) AS oxygen_count FROM atom AS T1 INNER JOIN bond AS T2 ON T1.molecule_id = T2.molecule_id WHERE T2.bond_type = '-' AND T1.element = 'o' GROUP BY T1.molecule_id) AS oxygen_counts | moderate | single-bonded molecules refers to bond_type = '-' ; average number of oxygen atom = AVG(element = 'o') |
198 | toxicology | [
"atom",
"bond",
"molecule"
] | On average how many carcinogenic molecules are single bonded? | SELECT AVG(single_bond_count) FROM (SELECT T3.molecule_id, COUNT(T1.bond_type) AS single_bond_count FROM bond AS T1 INNER JOIN atom AS T2 ON T1.molecule_id = T2.molecule_id INNER JOIN molecule AS T3 ON T3.molecule_id = T2.molecule_id WHERE T1.bond_type = '-' AND T3.label = '+' GROUP BY T3.molecule_id) AS subquery | challenging | carcinogenic molecules refers to label = '+'; single-bonded refers to bond_type = '-'; average = DIVIDE(SUM(bond_type = '-'), COUNT(atom_id)) |
199 | toxicology | [
"atom",
"molecule"
] | In the molecule containing sodium atoms, how many are non-carcinogenic? | SELECT COUNT(DISTINCT T2.molecule_id) FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id WHERE T1.element = 'na' AND T2.label = '-' | simple | non-carcinogenic refers to label = '-'; sodium atoms refers to element = 'na' |