Credit/Loan Dataset - Rural India

Unlocking Opportunities: Exploring Credit and Loan Dynamics in Rural India

@kaggle.heydido_creditloan_dataset_rural_india

Table List

1 table(635.4 KB)

Ruralcreditdata

@kaggle.heydido_creditloan_dataset_rural_india.ruralcreditdata

635.4 KB
40000 rows
21 columns

id Id	city City	age Age	sex Sex	social_class Social Class	primary_business Primary Business	secondary_business Secondary Business	annual_income Annual Income	monthly_expenses Monthly Expenses	old_dependents Old Dependents	young_dependents Young Dependents	home_ownership Home Ownership	type_of_house Type Of House	occupants_count Occupants Count	house_area House Area	sanitary_availability Sanitary Availability	water_availabity Water Availabity	loan_purpose Loan Purpose	loan_tenure Loan Tenure	loan_installments Loan Installments	loan_amount Loan Amount
1	Dhanbad	22	F	Mochi	Tailoring	Others	36000	5000		2	1	R	4	70	1	0.5	Apparels	12	12	5000
2	Manjapra	21	F	OBC	Tailoring	none	94000	3600	1	1	1	T1	4	80	1	0.5	Apparels	12	50	7500
3	Dhanbad	24	M	Nai	Beauty salon	Others	48000	4000		2	1	T1	4	50	1	0.5	Beauty Salon	12	12	5000
4	nan	26	F	OBC	Tailoring	none	7000	5000		2	1	T1	5	50	1	0.5	Apparels	12	50	7500
5	Nuapada	23	F	OBC	General store	Agriculture	36000	3500			1	T1	1	112	1	0.5	Retail Store	12	12	5000
6	Nuapada	23	F	OBC	General store	none	36000	3500			1	T1	1	112	1	0.5	Retail Store	12	12	5000
7	Dhanbad	22	F	Muchi	Tailoring	Others	36000	3000		1	1	T1	3	60	1	0.5	Apparels	12	12	5000
8	nan	28	F	OBC	Tailoring	none	7000	5000		2	1	T1	5	40	1	0.5	Apparels	12	50	7500
9	Dhanbad	38	F	Muchi	Puffed rice business	Others	36000	5000		2	1	T1	5	50	1	0.5	Eateries	12	12	5000
10	Dhanbad	25	F	Muchi	General store	Others	36000	5000		3	1	R	5	50	1	0.5	Retail Store	12	12	5000


CREATE TABLE ruralcreditdata (
  "id" BIGINT,
  "city" VARCHAR,
  "age" BIGINT,
  "sex" VARCHAR,
  "social_class" VARCHAR,
  "primary_business" VARCHAR,
  "secondary_business" VARCHAR,
  "annual_income" DOUBLE,
  "monthly_expenses" DOUBLE,
  "old_dependents" BIGINT,
  "young_dependents" BIGINT,
  "home_ownership" DOUBLE,
  "type_of_house" VARCHAR,
  "occupants_count" BIGINT,
  "house_area" DOUBLE,
  "sanitary_availability" DOUBLE,
  "water_availabity" DOUBLE,
  "loan_purpose" VARCHAR,
  "loan_tenure" BIGINT,
  "loan_installments" BIGINT,
  "loan_amount" DOUBLE
);