Baselight

Singapore Waste Management

Discover how much Singapore is saving energy per years by recycling.

@kaggle.kingabzpro_singapore_waste_management

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About this Dataset

Singapore Waste Management

Context

Singapore has a new milestone of becoming a zero-waste nation as government is worried about the rising number of waste disposal. At the current pace the Semakau Landfill will run out of space by year 2035 which is an alarming situation for Singaporeans (towardszerowaste.gov.sg). Making matters worse, Singapore has limited land for building new incineration plants or landfills. The government would like to motivate citizens by sharing the total energy that the combined recycling efforts have saved every year.

Content

Our dataset is divided between two timelines, from 2003 to 2017 and 2018 to 2020. The 2020 data was manually added using the NEA website. You can find additional energy data per material type on Greentumble .

Acknowledgements

The National Environment Agency (NEA) for providing me with annual waste management data. Green tumble for providing key values of energy generation.

My Project

Tables

N 2003–2017 Waste

@kaggle.kingabzpro_singapore_waste_management.n_2003_2017_waste
  • 10.32 KB
  • 225 rows
  • 6 columns
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CREATE TABLE n_2003_2017_waste (
  "waste_type" VARCHAR,
  "waste_disposed_of_tonne" BIGINT,
  "total_waste_recycled_tonne" DOUBLE,
  "total_waste_generated_tonne" BIGINT,
  "recycling_rate" DOUBLE,
  "year" BIGINT
);

N 2018–2020 Waste

@kaggle.kingabzpro_singapore_waste_management.n_2018_2020_waste
  • 4.43 KB
  • 45 rows
  • 4 columns
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CREATE TABLE n_2018_2020_waste (
  "waste_type" VARCHAR,
  "total_generated_000_tonnes" BIGINT,
  "total_recycled_000_tonnes" BIGINT,
  "year" BIGINT
);

Waste Energy Stat

@kaggle.kingabzpro_singapore_waste_management.waste_energy_stat
  • 5.23 KB
  • 5 rows
  • 6 columns
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CREATE TABLE waste_energy_stat (
  "the_gives_the_amount_of_energy_saved_in_kilowatt_hour__6b8867b2" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR
);

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