query_id
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stringlengths 23
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| answer
stringlengths 29
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591
|
---|---|---|---|---|---|---|
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'
|
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