Datasetpublic

kpubdata/seoul-apartment-rent

Seoul Apartment Rent (Jeonse/Wolse) Real Transaction Data Real transaction data for apartment rent (jeonse and wolse) in Seoul, South Korea. Covers all 25 districts with monthly granularity. 전세 (Jeonse): Large lump-sum deposit, no monthly rent (monthly_rent = 0) 월세 (Wolse): Smaller deposit + monthly rent payments Data sourced from Korea's Ministry of Land, Infrastructure and Transport (국토교통부) via the official data.go.kr API. Dataset Summary Records: 1,220,346… See the full description on the dataset page: https://huggingface.co/datasets/kpubdata/seoul-apartment-rent.

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Seoul Apartment Rent (Jeonse/Wolse) Real Transaction Data

Real transaction data for apartment rent (jeonse and wolse) in Seoul, South Korea. Covers all 25 districts with monthly granularity.

—전세 (Jeonse): Large lump-sum deposit, no monthly rent (monthly_rent = 0)
—월세 (Wolse): Smaller deposit + monthly rent payments

Data sourced from Korea's Ministry of Land, Infrastructure and Transport (국토교통부) via the official data.go.kr API.

Dataset Summary

—Records: 1,220,346
—Features: 19
—Source: data.go.kr
—HuggingFace Repo: kpubdata/seoul-apartment-rent

Statistics

Feature	Mean	Std	Min	Max
`build_year`	2,004.20	12.39	1961	2025
`deal_year`	2,022.14	1.37	2020	2024
`deal_month`	6.49	3.50	1	12
`deal_day`	15.97	8.52	1	31
`deposit`	40,214.04	35,177.90	0	1100000
`monthly_rent`	39.57	85.54	0	4500
`exclusive_area`	69.41	29.38	10.3215	317.36
`floor`	9.46	6.36	-4	69
`previous_deposit`	45,387.50	33,458.48	0	630000
`previous_monthly_rent`	98.44	95.22	0	4100

Features

Feature	Description
`apartment_name`	Name of the apartment complex (아파트명)
`build_year`	Year the building was constructed (건축년도)
`deal_year`	Transaction year (거래년도)
`deal_month`	Transaction month (거래월)
`deal_day`	Transaction day (거래일)
`deal_date`	Transaction date in YYYY-MM-DD format (derived)
`deposit`	Deposit amount in 만원 (10,000 KRW units) — 보증금
`monthly_rent`	Monthly rent in 만원 (10,000 KRW units) — 월세 (0 = jeonse)
`exclusive_area`	Exclusive area in ㎡ (전용면적)
`floor`	Floor number (층)
`jibun`	Land lot number (지번)
`district`	District name within gu (법정동)
`region_code`	Administrative district code (시군구코드)
`contract_type`	Contract type — 신규/갱신 (new/renewal)
`contract_term`	Contract term in months (계약기간)
`previous_deposit`	Previous deposit amount for renewal contracts (종전 보증금)
`previous_monthly_rent`	Previous monthly rent for renewal contracts (종전 월세)
`use_request_right`	Whether tenant used renewal request right (갱신요구권 사용 여부)
`road_name`	Road name address (도로명)

Sample Data

apartment_name	build_year	deal_year	deal_month	deal_day	deposit	monthly_rent	exclusive_area	floor	jibun	district	region_code	contract_type	contract_term	previous_deposit	previous_monthly_rent	use_request_right	road_name	deal_date
현대	2000	2020	1	30	38000	0	60.0	13	82	무악동	11110	None	None	None	None	None	통일로 246-20	2020-01-30
창신쌍용1	1992	2020	1	13	32000	0	79.87	3	702	창신동	11110	None	None	None	None	None	동망산길 19	2020-01-13
효성쥬얼리시티	2006	2020	1	17	45000	0	98.39	7	48-2	인의동	11110	None	None	None	None	None	종로 183	2020-01-17
경희궁자이(3단지)	2017	2020	1	4	89900	0	84.944	10	233	평동	11110	None	None	None	None	None	경교장길 35	2020-01-04
경희궁자이(1단지)	2017	2020	1	23	11168	37	39.0561	5	211	행촌동	11110	None	None	None	None	None	송월길 130	2020-01-23

Usage

python

from datasets import load_dataset

ds = load_dataset("kpubdata/seoul-apartment-rent")
df = ds["train"].to_pandas()
print(df.head())

Source

This dataset was generated using kpubdata from public data APIs on data.go.kr.

데이터 출처: 국토교통부 아파트 전월세 실거래가 자료 (Ministry of Land, Infrastructure and Transport — Apartment Rent Transaction Data)