Download - IDEA Case Study - openLCA

openLCA 1.7

Case study: Japanese Households –

IDEA database

Software Version: 1.7 (beta) Date: February 2018 Authors: Diana E.G. Bizarro, Jonas Bunsen, Andreas Ciroth GreenDelta GmbH, Berlin

Case study Japanese Households – IDEA database

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Content

1 Introduction ........................................................................................................ 3

2 Goal and scope .................................................................................................... 3

3 Data collection and used materials ................................................................... 4

4 Modelling Procedures ......................................................................................... 5

5 Amount setting procedure ................................................................................. 5

5.1 Fish-paste products example .................................................................................................................... 6

5.2 Fresh fruits example: ................................................................................................................................... 6

5.3 Electricity usage example: ........................................................................................................................... 7

6 Results and Analysis ........................................................................................... 7

6.1 Climate change – GWP 100 category analysis ....................................................................................... 8

6.2 Ozone layer depletion - ODP steady state category analysis ................................................................ 9

6.3 Depletion of abiotic resources - fossil fuels ............................................................................................... 10

7 Sensitivity analysis ............................................................................................ 11

8 Feedback & Contact ........................................................................................... 13

APPENDIX I ..................................................................................................................... 14

Use advice .................................................................................................................................................................. 14

Flows and respective amounts used in the model ...........................................................................................17


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1 Introduction

This case study aims to investigate the modelling possibilities given by IDEA (Inventory

Database for Environmental Analysis) and demonstrate the use of this database by showing

a specific, non-trivial application, since IDEA is a unique database specifically for Japanese

products from manufacturing and non-manufacturing sectors.

The process of creating the model involved a brief research about the goods consumed in a

Japanese household and their amounts, water and electricity consumption, private and

public transportation usage and at last the average size and lifespan of a Japanese house.

After this initial data research, a process, flow and product system were created to enable a

Life Cycle Impact Assessment (LCA) to evaluate the results obtained from the data provided

in IDEA.

Finally, to make sure the obtained results are reliable, some comparisons and cross-checks

to available data from other sources were made.

2 Goal and scope

The goal of this case study was to build a sensible model involving several different flows

that allow an evaluation of the possibilities provided by the database and that is

representative at the same time. Therefore, a Japanese household was the chosen

functional unit.

No new datasets were introduced, and no new processes or flows were created. Hence, the

results were obtained uniquely with the already available datasets within IDEA. The

household consumption was calculated for 1 year and 2 or more household members.

Consumption values as well as the product list were based on data provided by the Japanese

government.1

The model was created in openLCA and comprises the consumption of a Japanese

household with 2 or more members over the period of one year. This functional unit was

chosen due to the possibility of investigating how wide and complete is the range of

processes and flows offered in the database. Therefore, 58 processes involved in a day by

day Japanese household routine were considered.

1 http://www.stat.go.jp/english/data/

http://www.stat.go.jp/english/data/jinsui/tsuki/


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Figure 1: openLCA Japanese Household process Input and Output table.

A more detailed review of the database and of individual data sets was not part of the goal

for the case study; in a separate report, a detailed review of the entire database and of

selected data sets was performed.

3 Data collection and used materials

To perform the study, a set of tools was needed, the software and life cycle assessment

methods used were both from openLCA and can be found on the openLCA website2, the

IDEA database was provided by the Department of Product and Environmental Aspects,

Japan Environmental Management Association for Industry and the provided version was

further refactored by Green Delta. The life cycle impact assessment method used was CML

(baseline) [v4.4, January 2015], a midpoint oriented LCIA method developed by the Institute

of Environmental Sciences of the University of Leiden.

The data used to perform the study was obtained from several websites, but most of it was

taken from the Japanese Statistics Bureau owned by the Japanese Government. The main

source for building the product list was the “Summary of the Latest Month on Family Income

and Expenditure Survey” of 2017 available at the Japanese Statistics Bureau website 2, the

expenses were converted in consumption amount using the product prices available in

IDEA.

Consumption values for water, electricity, transportation usage (public and private) and

average size of a Japanese house were retrieved from different sources available on the

internet. All the sources for this information can be found on table 1.

Table 1: List of materials and main data sources used for modelling.

Material Version Source

Software openLCA 1.7.0 64-bit http://www.openlca.org/download/ Database IDEA version 2.1.3 version available to Green Delta Life Cycle Impact Assessment pack

openLCA LCIA methods v.1.5.6

https://nexus.openlca.org/database/openLCA%20LCIA%20methods

2 http://www.openlca.org/download/

http://www.openlca.org/download/



http://www.openlca.org/download/


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Impact assessment method for the analysis

CML (baseline) [v4.4, January 2015]

included into openLCA LCIA methods v.1.5.6

Data Household products consumption

Latest Month on Family Income and Expenditure Survey (2007), http://www.stat.go.jp/english/data/kakei/156.htm

Data Electricity usage in Japan

http://data.worldbank.org/indicator/EG.USE.ELEC.KH.PC?locations=JP&name_desc=false

Data Water usage in Japan https://www.mlit.go.jp/tochimizushigen/mizsei/water_resources/contents/current_state2.html

Data Transportation usage (public and private)

http://www.stat.go.jp/english/data/handbook/pdf/2009all.pdf

Data Average size of a Japanese House

http://www.stat.go.jp/english/data/kokusei/2010/poj/pdf/2010ch09.pdf

4 Modelling Procedures

For the model, a new process in openLCA 1.7.0 was created. A single process aggregated all

the input flows for the household model of which the exact list of flows can be found in

APPENDIX I.

In the next step, the amounts for each flow were set, the exact procedure to determine the

amounts to each flow is described in detail in section ”5 Amount setting procedures”.

Finally, the product system for the Japanese Household process was created, Japanese

Household flow was set as the reference product, flow property was set to “Market value,

bulk prices” , the life cycle impact assessment was performed using the CML (baseline) [v4.4,

January 2015] method and a sensitivity analysis was made using the ReCiPe Midpoint (H)

[v1.11, December 2014]. Furthermore, the results for Climate change – GWP 100, Ozone layer

depletion – ODP steady state and Depletion of abiotic resources - fossil fuels, were compared

with data published by the UN and World bank.

Figure 2: Model graph generated in openLCA for the Japanese Household product system.

5 Amount setting procedure

The product consumption for a two-or-more-person household was calculated by retrieving

the expenses regarding a product from the "Latest Month on Family Income and

Expenditure Survey - 2007" considering a workers' household and dividing it by the price

given by the database, which yields the amount of product consumed.

http://www.stat.go.jp/english/data/kakei/156.htm



https://www.mlit.go.jp/tochimizushigen/mizsei/water_resources/contents/current_state2.html

https://www.mlit.go.jp/tochimizushigen/mizsei/water_resources/contents/current_state2.html






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A similar procedure was adopted to calculate the transportation, water and electricity

usage. The exact procedure is explained in “5.3 Electricity usage example“.

Regarding the housing, it was assumed a 30-year life span, privately owned, 90m2 big

traditional wood house, for these assumptions data from the Japanese statistics

department was used.3

5.1 Fish-paste products example

The "Latest Month on Family Income and Expenditure Survey - 2007" has a specific item for

fish paste expenditures, the same item can be found in IDEA, under the code 092300000.

Because no more detailed information on fish paste products consumption is given by the

survey, the "092300000 fish paste product, 4 digit" was chosen. Hence, it includes a mix of

fish paste products ranked according to statistics used to build the database which is

appropriated for this general study case.

Table 2: Fish-paste products input amount calculation for the model.

Survey Product

Database item Family Expenditure

Price given in IDEA

Monthly consumption

Yearly consumption

Fish-paste products

092300000 fish paste product, 4 digit

1016 Yen 635.19 Yen/kg

1.60 kg 19.19kg

5.2 Fresh fruits example:

The survey has a Fresh fruits item which does not specify the kind of fruit consumed, on the

other hand IDEA does not provide a general fruit item, instead it provides 5, 4 digit,

categories of fruit, namely pomaceous fruit, citrus fruit, drupe fruit, tropical fruit and

miscellaneous fruit, in this case the total family expense was divided in 4 and the same

value was allocated for each 4 digit fruit category apart from miscellaneous fruit

(pomaceous fruit, citrus fruit, drupe fruit and tropical fruit).

Table 3: Calculation example for products included in the same category at the survey.

Family expenses with fresh fruits 2274 Yen

Fresh fruit categories considered 4

Family expense per fruit category 568.5 Yen

Table 4: Fresh fruits input amount calculation for the model.

Survey Product

Database item

Family Expenditure

Price given

in IDEA

Monthly consumption

Yearly consumption

Fresh fruits

014100000 pomaceous

568.5 Yen 251.33 Yen/kg

2.262 kg 27.144 kg

3 The most important data sources are provided in table 1.


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Survey Product

Database item

Family Expenditure

Price given

in IDEA

Monthly consumption

Yearly consumption

fruit, 4 digit

Fresh fruits

014200000 citrus fruit,

4 digit

568.5 Yen 145.59 Yen/kg

3.905 kg 46.860 kg

Fresh fruits

014300000 drupe fruit,

4 digit

568.5 Yen 444.57 Yen/kg

1.279 kg 15.348 kg

Fresh fruits

014400000 tropical fruit, 4

digit

568.5 Yen 486.95 Yen/kg

1.167 kg 14.004 kg

5.3 Electricity usage example:

The data on electricity usage in Japan was obtained from the World Bank website4.

According to the latter, 7836 kWh were used per capita in Japan in 2016. The unit for

electricity in IDEA is MJ and therefore, a conversion from kWh to MJ was necessary, besides

the final value was multiplied by 3 to represent a household usage.

1 kWh = 3.6 MJ

7,836 kWh1 = 28,209.6 MJ

Household electricity usage over a year: 28209.6 MJ × 3 = 84,628.8 MJ

6 Results and Analysis

The CML (baseline) [v4.4, January 2015] method has 11 categories of impacts. The table below

shows the results for each category of which the highlighted items were analysed in detail.

Table 5: Caption: Life cycle impact analysis results for CML (baseline) method.

Impact category Result Reference unit

Marine aquatic ecotoxicity - MAETP inf 43,801.3 kg 1,4-dichlorobenzene eq.

Human toxicity - HTP inf 190.4572 kg 1,4-dichlorobenzene eq.

Terrestrial ecotoxicity - TETP inf 13.96042 kg 1,4-dichlorobenzene eq.

Eutrophication – generic 3.73396 kg PO4--- eq.

Acidification potential - average Europe 38.77036 kg SO2 eq.

4 http://data.worldbank.org/indicator/EG.USE.ELEC.KH.PC?locations=JP&name_desc=false



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Impact category Result Reference unit

Photochemical oxidation - high Nox 1.36902 kg ethylene eq.

Climate change - GWP100 23,526.3 kg CO2 eq.

Freshwater aquatic ecotoxicity - FAETP inf 9.68427 kg 1,4-dichlorobenzene eq.

Ozone layer depletion - ODP steady state 0.00067 kg CFC-11 eq.

Depletion of abiotic resources - elements, ultimate reserves

0.08416 kg antimony eq.

Depletion of abiotic resources - fossil fuels 342,796 MJ

6.1 Climate change – GWP 100 category analysis

According to the World Bank website5, the Climate change – GWP 100 value obtained using

the CML (baseline) method was 23.53 tons CO2 eq. Worldwide, the average emissions of CO2

per capita was 4.996 tons and in Japan the CO2 emissions per capita Japan were 9.764 tons.

Therefore, considering a Japanese household consumption for two or more people over a

year and that the difference between the value given by the World Bank statistics and the

model was of only 17% this is a plausible value.

The following Sankey diagram shows some of the processes that contribute to this impact

category and how they are connected.

The biggest contributions to this impact category come from electricity consumption from

331111014 electricity, Japan, 2014FY – JP, process which is responsible for 60.57% of the CO2

emissions, this is due to the energy matrix in Japan that relies mostly on fossil fuels for

energy production, hence 29.30% of the emissions come from electricity by liquefied natural

5 http://data.worldbank.org/indicator/EN.ATM.CO2E.PC?locations=JP&name_desc=false

Figure 3: Sankey diagram generated in openLCA, from the CML (baseline) LCIA for the Climate Change – GWP

impact category.


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gas (LNG), 21.47% come from electricity by coal, Japan – JP and 4.78% from electricity by

heavy oil, Japan – JP.

The second process with the biggest contribution is the 183112000 fuel gasses (including blast

furnace gas and coke oven gas) – JP, contributing with 8.67% of the emissions, followed by

061100000 house (wooden structure), 4 digit – JP, contributing with 7.24%.

Figure 4 shows a list of the 7 processes contributing the most with the CO2-equivalent

emissions.

Figure 4: List of the 7 major contributing processes for the CO2-equivalent emissions (Impact category:

Climate change – GWP100).

6.2 Ozone layer depletion - ODP steady state category analysis

Ozone layer depletion is given by the consumption of substances with Ozone Depletion

Potential (ODP), the unit is in kg of Chlorofluorocarbons (CFC) -11 equivalent. In this category

the LCIA delivered 0.00067 kg CFC-11 eq, at United Nations data website the CFC-11 eq.

emissions for Japan in 2002 was 19.5 tons in total. Dividing this number by the total

population of Japan – 126,903,000 – the emissions are of 0.000154 kg/capita, considering

the emissions for three people this amounts 0.000462 kg/household, there is a difference

of 31% between those values therefore this is a plausible amount.

Figure 5: List of the major contributing processes for the Ozone layer depletion - ODP steady state impact

category.

Figure 5 above shows the main processes contributing to Ozone layer depletion, the process

contributing the most is 061100000 house (wooden structure), 4 digit, which is responsible

for 44.89% of the emissions.


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Further analysing this process through the contribution tree tab in openLCA reveals that the

component responsible for the biggest contribution is the “gypsum board and its products”

which produces chlorodifluoromethane (HCFC-22, or R-22).

Figure 6: Breakdown of the upstreaming processes from 061100000 house (wooden structure), 4 digit that

contribute the most for the Ozone layer depletion impact category.

6.3 Depletion of abiotic resources - fossil fuels

The last impact category analysed in detail was the depletion of fossil fuels due to the

easiness to find data on energy use (kg of oil equivalent per capita), per country.

According to the World Bank website6 the energy usage in Japan in 1998 was of 3963.251 kg

of oil eq. per capita, the conversion of this value to match the unit provided in openLCA CML

(baseline) method analysis gives 497,800 MJ, for a household (3 people) the consumption of

oil eq. per capita is 165,933 MJ.

The value obtained from the model in openLCA was 342,796 MJ, there is a difference of 31%

between both values, and therefore this is a plausible result.

Table 6: Comparison between the reference value provided by the World Bank and the value obtained from

openLCA model for Depletion of abiotic resources - fossil fuels impact category.

World Bank Energy usage in

Japan (1998) data

3963.251 (kg of oil equivalent per capita) = 165933.39 MJ

497,800.17 MJ (2 or more people household)

openLCA model 342,796 MJ

Difference between the two

values

31%

The figure below shows the main contributions to this impact category and reveals that

most of the fossil fuels depletion occurs to supply electricity production demands.

6 http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE?locations=JP

http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE?locations=JP


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Figure 7: Chart representing the 6 main direct contributions to the Depletion of abiotic resources - fossil fuels

impact category.

7 Sensitivity analysis

To analyze the deviation of the results due to another choice of impact assessment method,

a new analysis using the ReCiPe midpoint (H) was made and the similar impact category

values were compared.

As shown in table 7 Climate change, Depletion of abiotic resources - fossil fuels, Human

toxicity and Ozone layer depletion impact category values are very similar for the two

methods while Terrestrial ecotoxicity, Freshwater ecotoxicity, Marine aquatic ecotoxicity.

This happens because both methods consider different substances and process for the

impact calculations.

Table 7: Comparison of the LCIA results obtained with CML baseline method and ReCiPe midpoint (H) method,

for the same Product System in openLCA.

*Value converted from kg oil eq. to MJ for comparison purposes. (original value 7442.31918 kg oil eq.)

In the figures below, one can see that the two LCIA methods point the same processes as

contributors for fossil fuels impact category, nevertheless each method calculates it

differently, which results into different values, in any case both values are plausible.

Impact category CML baseline method

Recipe midpoint (H)

Reference unit Results relative difference

Climate change 23,526.30 23,331.20 kg CO2 eq -0.83%

Depletion of abiotic resources - fossil fuels

342,796.00 311,595.02* MJ -9.10%

Human toxicity 190.46 411.78 kg 1,4-DB eq 116.21%

Ozone layer depletion

0.00067 0.00067 kg CFC-11 eq 0.00%


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Figure 8: CML (baseline) [v4.4, January 2015] results.

Figure 9: ReCiPe Midpoint (H) [v1.11, December 2014] results.

For terrestrial, fresh water and Marine aquatic ecotoxicity impact category are calculated

differently by the two methods, therefore their results are not comparable with each other.


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8 Feedback & Contact

The IDEA database can be purchased via openLCA Nexus, https://nexus.openlca.org/.

If you have other questions not addressed by this document, need further clarifications on

any of the points commented, please contact us:

Tel. +49 30 48 496 – 030

Fax +49 30 48 496 – 991

[email protected]

GreenDelta GmbH

Müllerstrasse 135

D-13357 Berlin, Germany

www.greendelta.com

https://nexus.openlca.org/

mailto:[email protected]

http://www.greendelta.com/


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APPENDIX I

Use advice

It should be noted that the prevailing impact assessment methods among the Japanese and

European LCA community differ. Most commonly, LIME2 characterization and CML (baseline)

are used in Japan and Europe, respectively (a comparative overview of the individual impact

categories is given in Table 9Fehler! Verweisquelle konnte nicht gefunden werden.). The

IDEA v2 (Inventory Database for Environmental Analysis) with its original elementary flows

is not fully compatible with the CML (baseline) v4.4 impact assessment method and their

combination may lead to inaccurate and possibly incomplete results. Therefore, an

additional version of the IDEA v2 is available that has been mapped in accordance with

openLCA reference flows.

openLCA users are strictly advised against using IDEA v2 with original elementary flows in

combination with the CML (baseline) v4.4 impact assessment method. However, no

restrictions apply when using IDEA v2 version with openLCA reference flows with either the

Lime2 characterization or CML (baseline) v4.4 impact assessment method (Table 8).

Table 8: Compatibility of the IDEA v2 with original elementary flows and openLCA reference flows with specific

impact assessment methods.

IDEA v2 version with original

elementary flows

(for stand-alone use)

IDEA v2 version with openLCA

reference flows

(for use with other databases from

openLCA Nexus)

Lime2

characterization ✓ ✓

CML (baseline) v4.4 X ✓


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Table 9: Comparative overview of impact categories of the LIME2 characterization and CML (baseline) [v4.4, January 2015] impact assessment methods for the product system

‘Japanese household’.

IDEA v2 version with original elementary flows

Impact assessment method: LIME2 characterization

IDEA v2 version with openLCA reference flows

Impact assessment method: CML (baseline) [v4.4, January 2015]

Impact category Impact result

Unit Impact category Impact result

Unit

CH_Biological toxity 536.71282 kg-CO2eq

CF_Ozone depletion 0.00046 m2a Ozone layer depletion – ODP steady state 0.00067 kg CFC-11 eq.

CH_Resource depletion 0.28706 kg-C6H6eq Depletion of abiotic resources – elements, ulti-mate reserves

0.08416 kg antimony eq.

Depletion of abiotic resources – fossil fuels 3.43E+05 MJ

CH_Toxic chemicals (chronic disease)

0.01395 m2

CH_Acidificaton 10.91191 kg-C6H6eq Acidification potential – average Europe 38.77036 kg SO2 eq.

CH_Eutrophication 0.02153 kg-SO2eq Eutrophication – generic 3.73396 kg PO4--- eq.

CH_Land use (Occupation) 3891.52335 kg-C2H4eq

CH_Aquatic toxicity 20.89041 kg-C6H6eq Freshwater aquatic ecotoxicity – FAETP inf 9.68427 kg 1,4-dichlorobenzene eq.

Marine aquatic ecotoxicity – MAETP inf 4.38E+04 kg 1,4-dichlorobenzene eq.

CH_Urban area air pollution 6.11779 kg-C6H6eq

CH_Photochemical ozone 0.39601 kg-Sbeq

CH_Land use (Transformation) 78.16516 kgPO43-eq

CH_Climate change 2.34E+04 kg-C6H6eq Climate change – GWP100 2.35E+04 kg CO2 eq.


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IDEA v2 version with original elementary flows

Impact assessment method: LIME2 characterization

IDEA v2 version with openLCA reference flows

Impact assessment method: CML (baseline) [v4.4, January 2015]

CH_Toxic chemicals (cancer) 0.36743 kg-CFC-

11eq

Human toxicity – HTP inf 190.4572 kg 1,4-dichlorobenzene eq.

Photochemical oxidation – high Nox 1.36902 kg ethylene eq.

Terrestrial ecotoxicity – TETP inf 13.96042 kg 1,4-dichlorobenzene eq.


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Flows and respective amounts used in the model

Flow Amount Unit Costs (JPY) Description

105100000 cigarette, cigar and pipe tobacco, ex-cept stemmed and re-dried leaf tobacco, 4 digit

2092.0000 Item(s) 11328.00

281213000 cellular telephone sets and PHS tele-phone set

1.5000 Item(s)

Arbitrary number for cellphone consumption

272200000 air conditioning and household equip-ments, 4 digit

5.0640 JPY 2000 10128.00

091200000 dairy product, 4 digit 11.9160 JPY 2000 23832.00

272919000 miscellaneous household electric ap-pliances, except electric Japanese-style warmers, electric appliances for hair dressing

5.8620 JPY 2000 11724.00

176200000 medical products preparations (includ-ing preparations outside medicines), 4 digit

12.3540 JPY 2000 24708.00

092200000 seaweed product, except canned, 4 digit

4.6500 JPY 2000 9300.00

099600000 side-dish food, 4 digit 46.9860 JPY 2000 93972.00

272100000 kitchen equipments, 4 digit 9.1800 JPY 2000 18360.00

094400000 sauce, 4 digit 7.0500 JPY 2000 14100.00

505100000 retail trade, furniture, household uten-sil and household appliance service, 4 digit

5.8620 JPY 2000 11724.00

176400000 natural drugs and Chinese medicines, 4 digit

12.3540 JPY 2000 22992.00

121100000 men's and boy's clothes, 4 digit 14.4810 JPY 2000 28962.00

177900000 miscellaneous cosmetics, toothpaste and toilet preparations, 4 digit

11.1840 JPY 2000 22368.00

202100000 rubber footwear and its accessories, 4 digit

11.4960 JPY 2000 22992.00


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141100000 wooden furniture, except Japanese lacquered furniture, 4 digit

4.8780 JPY 2000 9756.00

129100000 bedding, except blankets, 4 digit 8.3340 JPY 2000 16668.00

154111000 books 22.0680 JPY 2000 44136.00

121200000 women's and girl's clothes, 4 digit 20.3190 JPY 2000 40638.00

031900000 miscellaneous fish, 4 digit 27.2600 kg 9792.00

092300000 fish paste product, 4 digit 19.1900 kg 12192.00

032100000 shellfish, 4 digit 27.1700 kg 4896.00

031100000 tuna, 4 digit 37.8600 kg 24480.00

031400000 salmon and trout, 4 digit 26.6700 kg 9792.00

094100000 fermented bean paste miso, including miso powder, 4 digit

55.7416 kg 14100.00

099511000 precooked frozen foods 110.5390 kg 54360.00

014300000 drupe fruit, 4 digit 15.3453 kg 6822.00

014200000 citrus fruit, 4 digit 46.8578 kg 6822.00

099212000 japanese noodles 54.6000 kg 19548.00

093112000 fruit product in air-tight container 8.2523 kg 3552.00

091100000 meat product, 4 digit 106.7160 kg 103200.00

014900000 miscellaneous fruit, 4 digit 14.7994 kg 6822.00

097900000 miscellaneous bakery and confection-ery product, 4 digit

93.0018 kg 88800.00

097111000 loaf of bread 67.9100 kg 32040.00

018200000 hen egg , 4 digit 53.8442 kg 9696.00

092400000 salted and dried seafood product, salted seafood product, 4 digit

14.1900 kg 13356.00

013200000 mushroom, cultivated, 4 digit 55.0968 kg 23384.00

199100000 Daily household articles, tableware ar-ticles, 4 digit

20.8874 kg 18360.00

011419000 miscellaneous cereal 33.4600 kg 12240.00


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175223000 miscellaneous household synthetic de-tergents

157.4830 kg 41580.00

012219000 miscellaneous vegetable leaves and stems

65.2509 kg 23384.00

092111000 canned tuna 19.0541 kg 12300.00

096100000 cleaned and polished rice, including crushed rice, 4 digit

75.4100 kg 21420.00

012119000 miscellaneous fruit vegetable 155.8470 kg 23384.00

014100000 pomaceous fruit, 4 digit 27.1441 kg 6822.00

103100000 tea , 4 digit 5.9385 kg 11292.00

098100000 vegetable oil and fat, 4 digit 32.5136 kg 4260.00

018111000 raw milk 156.5990 kg 13812.00

177100000 makeup and skin care products (in-cluding perfume and eau de cologne), 4 digit

0.5605 kg 22368.00

177200000 hair care product, 4 digit 23.2219 kg 22368.00

094200000 soy sauce and edible amino acid, in-cluding soy sauce powder and solid, 4 digit

74.4126 l 14100.00

101100000 soft drink and carbonated water, 4 digit

132.9930 l 28644.00

061100000 house (wooden structure), 4 digit 3.0000 m2

Wooden houses with 30 years life span, considering that most of the households in Japan are privately owned and are 90m² big in average

361100000 tap water, 4 digit 379.1500 m3 65100.00

331111014 electricity, Japan, 2014FY 84628.8000 MJ

183112000 fuel gasses (including blast furnace gas and coke oven gas)

8002.8600 Nm3 58596.00

433100000 passenger vehicle transportation, pri-vate service, 4 digit

4409.1600 p*km

Average private car usage per person in Japan in 2009, (total car usage divided by the total population)

421100000 rail transportation, passenger service, 4 digit

3195.6690 p*km

Average railway transport usage per person in Japan in 2009, (total railway usage divided by the total population)


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