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Data table via SPARQL

Average annual percentage point increase needed for the 32 European countries to reach 50 % recycling by 2020 and past rates achieved

Data table via SPARQL Published 29 Jul 2014 Last modified 20 Apr 2016

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country distance_target_2020 yearly_increase_2010_2012 yearly_increase_2006_2012
"Austria" "-1.2"^^<http://www.w3.org/2001/XMLSchema#decimal> "0"^^<http://www.w3.org/2001/XMLSchema#decimal> "-0.4"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Belgium" "-0.9"^^<http://www.w3.org/2001/XMLSchema#decimal> "-0.3"^^<http://www.w3.org/2001/XMLSchema#decimal> "0.5"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Bosnia and Herzegovina" "6.3"^^<http://www.w3.org/2001/XMLSchema#decimal> "0"^^<http://www.w3.org/2001/XMLSchema#decimal> "0"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Bulgaria" "3.1"^^<http://www.w3.org/2001/XMLSchema#decimal> "0.3"^^<http://www.w3.org/2001/XMLSchema#decimal> "1"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Cyprus" "3.6"^^<http://www.w3.org/2001/XMLSchema#decimal> "3.1"^^<http://www.w3.org/2001/XMLSchema#decimal> "2.8"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Czech Republic" "3.4"^^<http://www.w3.org/2001/XMLSchema#decimal> "3.7"^^<http://www.w3.org/2001/XMLSchema#decimal> "2.6"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Denmark" "0.6"^^<http://www.w3.org/2001/XMLSchema#decimal> "1.5"^^<http://www.w3.org/2001/XMLSchema#decimal> "1.6"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Estonia" "2.3"^^<http://www.w3.org/2001/XMLSchema#decimal> "6.8"^^<http://www.w3.org/2001/XMLSchema#decimal> "2.4"^^<http://www.w3.org/2001/XMLSchema#decimal>
"European Union (27 countries)" "1.1"^^<http://www.w3.org/2001/XMLSchema#decimal> "1.5"^^<http://www.w3.org/2001/XMLSchema#decimal> "1.4"^^<http://www.w3.org/2001/XMLSchema#decimal>
"European Union (28 countries)" "1.1"^^<http://www.w3.org/2001/XMLSchema#decimal> "1.5"^^<http://www.w3.org/2001/XMLSchema#decimal> "6.8"^^<http://www.w3.org/2001/XMLSchema#decimal>

Received 35 rows in 0.002 seconds.


https://eea.europa.eu./data-and-maps/daviz/sds/average-annual-percentage-point-increase/daviz.json

For system integrators

The following info can be used by a system developer / database administrator in order to retrieve this dataset programmatically over the web using a SPARQL client.

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semantic.eea.europa.eu/sparql

PREFIX sdmx-measure: <http://purl.org/linked-data/sdmx/2009/measure#> 
PREFIX sdmx-dimension: <http://purl.org/linked-data/sdmx/2009/dimension#> 
PREFIX property: <http://rdfdata.eionet.europa.eu/eurostat/property#> 
PREFIX unit: <http://rdfdata.eionet.europa.eu/eurostat/dic/unit#> 
PREFIX wst: <http://rdfdata.eionet.europa.eu/eurostat/dic/wst_oper#>
PREFIX geo: <http://rdfdata.eionet.europa.eu/eurostat/dic/geo#>

    SELECT
    ?country
    round(((50-(sum(?ratio_2012)/10))/8)*10)/10.0 as ?distance_target_2020
    round((((sum(?ratio_2012)/10)-(sum(?ratio_2010)/10))/2)*10)/10.0 as ?yearly_increase_2010_2012
    round((((sum(?ratio_2012)/10)-(sum(?ratio_2006)/10))/6)*10)/10.0 as ?yearly_increase_2006_2012
    #sum(?ratio_2006)/10 as ?ratio_2006
    #sum(?ratio_2010)/10 as ?ratio_2010
    #sum(?ratio_2012)/10 as ?ratio_2012
      {{
      SELECT
      bif:either(?ugeo = geo:DE, 'Germany', ?country) as ?country
      bif:either(year(?date) = 2006, (sum(?RCY)/sum(?GEN))*1000, 0) as ?ratio_2006
      bif:either(year(?date) = 2010, (sum(?RCY)/sum(?GEN))*1000, 0) as ?ratio_2010
      bif:either(year(?date) = 2012, (sum(?RCY)/sum(?GEN))*1000, 0) as ?ratio_2012
      WHERE { 
       GRAPH <http://rdfdata.eionet.europa.eu/eurostat/data/env_wasmun.rdf.gz> 
        { 
          _:env_wasmun sdmx-dimension:timePeriod ?date . FILTER (year(?date) > 2000)
      	_:env_wasmun property:geo ?ugeo .
          _:env_wasmun property:unit unit:1000T .
        { 
	  _:env_wasmun property:wst_oper wst:GEN .
          _:env_wasmun sdmx-measure:obsValue ?GEN .
	} UNION { 
	  _:env_wasmun property:wst_oper ?wst_oper FILTER (?wst_oper in (wst:RCY_M, wst:RCY_OC)) . 
          _:env_wasmun sdmx-measure:obsValue ?RCY . 
	} 
      } 
      ?ugeo rdfs:label ?country . FILTER (?ugeo != (geo:IS) and ?ugeo != (geo:HR))
    } 
    GROUP BY ?date ?country ?ugeo
   }}
ORDER BY ?country


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