Dataset: Swedish Greenhouse Emissions

About this Dataset

Swedish Greenhouse Emissions

Context

A great dataset if you want to visualise and get how the greenhouse emissions have progressed in Sweden.

Content

Annual data from 1990 to 2018
First column describes what data is presented for each year

Note

When .. presents, this indicates that the value is zero
Biogenic carbon dioxide arises from renewable organic materials, for example different parts of plants, sewage sludge or slaughter wastes, e.g. biofuel. Biofuels can be gaseous, i.e. biogas, liquid, i.e. ethanol, or solid, i.e. wood, grains or wood pellets. Peat is not considered a biofuel.

Info about the data

National emissions and removals of greenhouse gases were calculated by SMED, on behalf of the Swedish Environmental Protection Agency, for the annual greenhouse gas inventory in accordance with the guidelines under the UNFCCC. Read more on www.naturvardsverket.se/klimatutslapp (in Swedish) or in Swedish submissions of greenhouse gas inventories on the UNFCCC website: http://unfccc.int/national_reports/annex_i_ghg_inventories/national_inventories_submissions/items/8812.php.
Data is gathered from Statistics Sweden, the Swedish government agency operating under the Ministry of Finance and responsible for producing official statistics for decision-making, debate and research.
Website to find the data: http://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__MI__MI0107/TotaltUtslappN/table/tableViewLayout1/

Tables

Swe Data

@kaggle.ggolle_swedish_greenhouse_emissions.swe_data

43.98 KB
154 rows
31 columns


CREATE TABLE swe_data (
  "greenhouse_gas" VARCHAR,
  "sector" VARCHAR,
  "n_1990" VARCHAR,
  "n_1991" VARCHAR,
  "n_1992" VARCHAR,
  "n_1993" VARCHAR,
  "n_1994" VARCHAR,
  "n_1995" VARCHAR,
  "n_1996" VARCHAR,
  "n_1997" VARCHAR,
  "n_1998" VARCHAR,
  "n_1999" VARCHAR,
  "n_2000" VARCHAR,
  "n_2001" VARCHAR,
  "n_2002" VARCHAR,
  "n_2003" VARCHAR,
  "n_2004" VARCHAR,
  "n_2005" VARCHAR,
  "n_2006" VARCHAR,
  "n_2007" VARCHAR,
  "n_2008" VARCHAR,
  "n_2009" VARCHAR,
  "n_2010" VARCHAR,
  "n_2011" VARCHAR,
  "n_2012" VARCHAR,
  "n_2013" VARCHAR,
  "n_2014" VARCHAR,
  "n_2015" VARCHAR,
  "n_2016" VARCHAR,
  "n_2017" VARCHAR,
  "n_2018" VARCHAR
);