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Indonesian Labour Economic Indicators

Data Science and Analytics

Tags and Keywords

Welfare

Income

Expenditure

Indonesia

Jobs

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Indonesian Labour Economic Indicators Dataset on Opendatabay data marketplace

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About

This dataset offers valuable insights into Indonesian worker welfare, specifically examining income/wages and expenditure patterns. It aims to assist individuals new to the workforce in making informed decisions regarding potential work locations, expected earnings, and whether their income will adequately cover daily needs. Utilising data from the Badan Pusat Statistik (BPS), this resource is highly relevant for understanding the current competitive labour market and facilitating thoughtful career planning based on financial well-being.

Columns

The dataset comprises several distinct files, providing a granular view of worker welfare:
  • provinsi: Identifies the Province, with 35 unique values, serving as a key geographical disaggregation.
  • upah.df.csv: Contains data on Average Worker Wages Per Hour, further broken down by Province and Year.
  • ump.df.csv: Provides Provincial Minimum Wage (UMP) figures, also disaggregated by Province and Year.
  • gk.df.csv: Focuses on Poverty Line Per Capita (Garis Kemiskinan Per Kapita). The columns within this file are structured to indicate specific expenditure types (e.g., makanan for food), residential areas (e.g., perkotaan for urban, perdesaan for rural, or perdesaanperkotaan for combined), and precise survey periods (e.g., gk.makanan.perkotaan.2015.maret denotes the urban food poverty line for March 2015). This detailed breakdown allows for a nuanced analysis of poverty thresholds over time and across diverse regions.
  • peng.df.csv: Presents Average Per Capita Expenditure, detailed by Province, Year, Type of Expenditure, and Area of Residence.

Distribution

The data files are typically available in CSV format. For example, the gk.csv file is noted as 43.48 kB in size and contains 21 of 157 columns, implying a selected subset of the full dataset. While specific numbers for rows or records are not provided in the source materials, sample files are intended to be updated separately onto the platform.

Usage

This dataset is ideally suited for career guidance, empowering new job seekers to evaluate prospective work areas based on earnings potential and living costs. It serves as a valuable resource for analysing economic trends related to household income and spending, and for pinpointing regional differences in worker well-being. Furthermore, it is highly useful for socio-economic research and policy formulation, enabling studies into labour market dynamics, poverty, and the development of strategies to enhance worker welfare across Indonesia.

Coverage

The dataset's geographical scope encompasses all 35 Provinces of Indonesia. The time coverage for the poverty line data spans from March 2015 to September 2018, with half-yearly survey intervals in March and September. The data distinguishes between urban and rural dwelling areas, offering a dual perspective on welfare conditions. It specifically targets Indonesian workers, providing key insights into their financial situations and expenditure habits.

License

CC0: Public Domain

Who Can Use It

  • Individuals entering the job market: To aid in selecting appropriate work locations, understanding salary expectations, and managing daily expenses.
  • Economists and academic researchers: For in-depth studies on labour economics, poverty thresholds, and socio-economic disparities within Indonesia.
  • Government policymakers: To inform decisions and develop initiatives concerning minimum wage regulations, poverty alleviation programmes, and regional economic development.
  • Career advisory professionals: To offer data-driven advice and guidance to job seekers in Indonesia.

Dataset Name Suggestions

  • Indonesian Worker Welfare & Expenditure
  • Indonesia Income and Poverty Insights
  • Regional Worker Well-being: Indonesia
  • Indonesian Labour Economic Indicators
  • Indonesia Provincial Living Costs & Wages

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

30/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format