Top 10 Productive Sectors with the Highest Peer-to-Peer Lending Debt in July 2023
Supported By
- A Small Font
- A Medium Font
- A Bigger Font
The Financial Services Authority (OJK) reported that the disbursement of fintech lending or online loans (pinjol) in Indonesia reached Rp20.37 trillion in July 2023.
Of this amount, pinjol disbursement to the productive sector reached Rp7.26 trillion, or 35.65% of total national pinjol disbursement.
In July 2023, the largest recipient of online loans in the productive sector was the wholesale and retail trade and vehicle repair and maintenance sector, with a value of Rp2.89 trillion, or approximately 39.8% of total productive sector pinjol disbursement.
Other service sectors ranked second with Rp1.07 trillion in pinjol debt, followed by the production of goods/services by households for their own needs with a value of Rp986.24 billion.
Then, Rp596.63 billion in pinjol went to the accommodation and food and beverage sector, and Rp375.37 billion to the arts, entertainment, and recreation sector.
Meanwhile, the productive sector with the smallest pinjol debt was the water maintenance or treatment, wastewater treatment, waste material treatment and recovery, and remediation activities sector, with a value of Rp1.26 billion.
Here are the details of the top 10 productive sectors receiving the largest online loans in July 2023:
1. Wholesale and retail trade - Repair and maintenance of cars and motorcycles: Rp2.89 trillion
2. Other service activities: Rp1.07 trillion
3. Production of goods and services by households for own consumption: Rp986.24 billion
4. Accommodation and food services: Rp596.63 billion
5. Arts, entertainment, recreation: Rp375.37 billion
6. Agriculture, forestry, fisheries: Rp231.91 billion
7. Real estate: Rp191.29 billion
8. Education: Rp189.6 billion
9. Construction: Rp155.2 billion
10. Transportation and warehousing: Rp138.83 billion
"Disclosure: This is an AI-generated translation of the original article. We strive for accuracy, but please note that automated translations may contain errors or slight inconsistencies."
Related Data
Latest Data Stories
Supported By
Trending Topics
Popular Data