10 South Papua Provincial Government Work Units with Highest SPI Scores 2025

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Irfan Fadhlurrahman 06/10/2026 14:44 WIB
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SPI Scores of South Papua Provincial Government Work Units 2025
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Based on 2025 Corruption Eradication Commission (KPK) Integrity Assessment Survey (SPI) data, South Papua Provincial Government recorded an SPI score of 65.25.

This score matches the average score for provinces and regencies/cities in South Papua (65.25), ranking 11th in the medium budget, medium staff group.

Over the past 5 years, South Papua's SPI score rose from 58.04 (2021) to 65.25 (2025).

SPI is a KPK-initiated survey mapping corruption risks and measuring anti-corruption progress across government institutions.

SPI scores combine 3 assessment indices (internal, external, expert) weighted accordingly, minus correction factors for corruption prevalence and survey implementation bias.

Below are South Papua SPI component scores and adjustment factors:

  • Internal assessment (staff): 64.34
  • External assessment (public/service users): 82.74
  • Expert assessment: 60.27
  • Corruption prevalence correction factor: 0
  • Survey implementation bias correction factor: 3.62

These are the top 10 work units by internal SPI integrity score 2025:

  1. Food Crops, Horticulture and Food Agency: 81.69
  2. Forestry and Environment Agency: 75.61
  3. Transportation Agency: 73.42
  4. Plantation and Livestock Agency: 71.84
  5. Marine Affairs and Fisheries Agency: 69.79
  6. Communication and Informatics Agency: 69.37
  7. Border and Cooperation Agency: 67.99
  8. Regional Disaster Mitigation Agency: 67.56
  9. Regional Civil Service Agency: 66.27
  10. Civil Service Police Unit: 65.76

Note: Respondent count per unit varied between 1 to 78 people.

Per KPK SPI categories: 0-72.9 = Vulnerable, 73-77.9 = Alert, 78-100 = Secure. With 65.25, South Papua is classified as Vulnerable.

(Read: 15 Least Corrupt Countries in 2025)

"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."

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