Waste from manufacturing industries

Updated: 19 September 2017

Next update: Not yet determined

Waste from manufacturing industries
Waste from manufacturing industries
2015
906
thousand tonnes
 
Waste from manufacturing industries. Treatment. 1000 tonnes.
Waste from manufacturing industries. Treatment. 1000 tonnes.1
20082015
Treatment, total2 286906
Sent to material recovery867399
Composting12223
Biogas production2870
Energy recovery628128
Incineration without energy recovery0..
Landfill372135
Sorting097
Other disposal26942
Export2 026
Unknown0..
Filling compound and cover material3 011
1Break in the time series. Biproducts are per definition not waste, and therefore not included in amounts starting from 2015.
2Export is included in other treatment
3«Filling compound and filling material» is included in «Other disposal» for 2008- numbers
Explanation of symbols

Selected tables and charts from this statistics

  • Waste from manufacturing industries. Materials. 1000 tonnes.
    Waste from manufacturing industries. Materials. 1000 tonnes.1
    20082015
    Material, total2 286906
    Food and fish waste, offal348117
    Organic sludge, dry weight8862
    Wood waste, mixed2 73266
    Paper and board9788
    Glass1416
    Metals153129
    EE-waste57
    Plastic1631
    Rubber11
    Textiles10
    Concrete and bricks5439
    Other mineral wastes3917
    Inorganic sludge, dry weight1218
    Cinders, dust and ashes37463
    Other waste11690
    Mixed waste103162
    1Break in the time series. Biproducts are per definition not waste, and therefore not included in amounts starting from 2015.
    2«Pure wood waste, chips, bark, shavings» and «Wood waste, with surface treatment» is included in «Wood waste, mixed”
    Explanation of symbols
  • Waste from manufacturing industries. Industries. 1000 tonnes.
    Waste from manufacturing industries. Industries. 1000 tonnes.1
    20082015
    All industries2 286906
    Manufacture of food products, beverages and tobacco495278
    Textiles-, wearing and leather5..
    Wood and wood products62237
    Paper and paper products30583
    Printing and reproduction5735
    Refined petroleum products4..
    Chemicals, chemical products5242
    Pharmaceuticals54
    Rubber and plastic products1312
    Other non-metal mineral products118104
    Basic metals43677
    Fabricated metal prod.3641
    Electronic and optical products38
    Electrical equipment1617
    Machinery and equipment2984
    Motor vehicles etc.169
    Other transport equipment4336
    Furniture and manufacturing n.e.c.1412
    Repair and installation of machinery and equipment1919
    1Break in the time series. Biproducts are per definition not waste, and therefore not included in amounts starting from 2015.
    Explanation of symbols

About the statistics

The objective of the statistics is to provide the industries involved, authorities, international bodies and the general public with information on waste generation in the manufacturing industry.

The information under «About the statistics» was last updated 18 June 2021.

Production:

Value of goods and services from domestic production activities, i.e. from market production, production for own final use, and non-market production in general government and in NPISHs. Output of goods and services is not the same as sale of goods and services. Output is published in basic prices, i.e. subsidies on products are included, but not VAT or other taxes on products (see basic value). In general government and other non-market production, output is estimated as total of compensation of employees, net taxes on production, consumption of fixed capital and intermediate consumption.

Name: Waste from manufacturing industries
Topic: Nature and the environment

Not yet determined

Division for Energy, Environmental and Transport Statistics

National figures only. Figures on a regional level are not possible with the sample drawn for the survey.

The Statistics is to be published on an annual basis. Every 5-7 years the statistics will be based on a wide-ranging sample survey.

The statistics is a part of the Waste accounts for Norway which is the basis for the reporting after the Waste Statistics Regulation (EC2150/2002) and the Joint Questionnaire (EU/OECD).

Archiving of the microdata is included as a part of the industrial production statistics standard archiving procedures.

The objective of the statistics is to provide the industries involved, authorities, international bodies and the general public with information on waste generation in the manufacturing industry.

The sample survey was until 2003 conducted every third year, and the first survey was in 1993. In 1993 and in 1996 interviewers was used for sampling. From 1999 the sampling method is changed and the establishments have filled in a questionnaire.

From the year 2003 annual surveys are conducted. A main survey are planned every fifth year, and a simplified survey the years in between. Main surveys were conducted in 2003 and 2008, similar to the surveys in 1993, 1996 and 1999. In 2004, 2005, 2006, 2007 and 2009 a simplified survey was conducted, which included questions on total waste amounts only.

´´About the statistics´´ describes the surveys from 2003 until 2008. For previous surveys it is referred to the respective documentation. (7.1).

The survey is contributed by The Climate and Pollution Agency.

Users are the environmental authorities, NGOs, research institutions and the general public.

Not relevant

Data from the survey on waste from manufacturing industry is used in the waste accounts for Norway.

The Statistics Act, §§2-1, 2-2, 2-3 (coercive fine)

Waste Statistics Regulation (EC2150/2002)

The statistics covers waste as defined in Forurensningsloven § 27. The statistics for the years 1993 - 2007 applies to establishments classified as manufacturing industry after the Industrial Classification (SIC2002) . For 2008 the statistics is distributed for establishments classified as manufacturing industry after the Industrial Classification (SIC2002) and the Standard Industrial Classification (SIC 2007). From 2009 the statistics will be distributed by SIC2007 only.

An establishment is defined as a locally delimited functional unit that mainly carries out business within a specific industry group (Standard Industrial Classification).

The data is collected by questionnaires, both electronic- and paper-form, from a representative sample of the manufacturing industry in Norway. The questionnaires were prefilled with data from Forurensning for the establishments that have reporting-obligations to the County Governor or to the Climate and Pollution Agency.

The statistics are established by calculations based on this data.

This is a sample survey. In the main survey is the sample drawn after industry-belongings and size.

The sample size is 1742 establishments, approximately 70 more than in 2003. The strata are dived after:

  • 2-digits NACE-code. Industry 16 is combined with industry 15.
  • Employees:
    • 0: 0 employees (not included in the sample)
    • 1: 1 - 9 employees
    • 2: 10 - 19 employees
    • 3: 20 - 49 employees
    • 4: 50 - 99 employees
    • 5: 100 or more employees

Full accounts: All establishments with at least 100 employees are a part of the sample. In the industries (SIC2002) is this limit sat to 50 employees: 20, 21, 24, 26, 27, 32 and 35.

Sample size and population for 2008 is shown in table 1.

Table 1: Sample and population in the survey on waste from manufacturing industries 2008

Establishments

Employees

Industry

(SN2002)

Population

Sample

Respondents

Industry

(SN2002)

Population

Sample

Respondents

15 og 16

2 197

296

262

15 og 16

54 579

32 899

24 433

17

529

39

38

17

3 857

1 290

995

18

393

26

22

18

1 506

702

576

19

40

12

10

19

241

179

69

20

1 667

124

117

20

17 498

8 844

6 381

21

111

52

45

21

6 331

5 833

4 622

22

1 288

58

47

22

8 370

2 688

1 940

23

13

13

11

23

1 144

1 144

1 268

24

297

102

90

24

15 220

15 220

11 021

25

407

54

50

25

5 727

5 727

1 909

26

853

123

112

26

17 684

17 684

5 355

27

175

73

59

27

15 398

15 398

8 985

28

2 331

113

104

28

23 335

23 335

5 106

29

2 235

142

121

29

25 625

25 625

10 309

30

13

11

8

30

60

60

42

31

446

65

59

31

8 026

8 026

5 037

32

104

38

36

32

3 077

3 077

2 461

33

597

57

53

33

8 065

8 065

4 806

34

135

48

47

34

4 784

4 784

2 574

35

1 099

202

172

35

45 626

45 626

27 324

36

1 309

59

50

36

10 719

10 719

2 455

37

141

35

31

37

1 401

1 401

667

The sample covers 11 per cent of the establishments in the population, corresponding 64 per cent of the employees and 72 per cent of the sale in the population. The respondents constitute 9 per cent of the establishments in the population and 89 per cent of the establishments in the sample.

The response rate in the survey for 2003 was 67 with regard to the number of establishments and 79 with regard to the number of employees in the sample.

For the simplified surveys the sample drawn in the survey Environmental expenditures in the manufacturing industry is used.

For 2008 letters and information regarding the survey was sent to the selected establishments in October 2009, with the deadline for response by the end of the month. A special website for the survey was set up. For 2003 questionnaires were made both on paper and in an Excel workbook. For 2008 all the establishments was asked to reply on an electronic questionnaire, and a paper form was sent out on inquiry only.

The simplified survey has a shared questionnaire and data collection with the sut\rvey for Environmental protection expenditures.

In average the establishments spent 130 minutes each by completing their filing requirements.

Revision 2008

With the aim of finding dissidents the regression method was used, calculated for total waste amounts for every industry. In addition Tukeys difference was calculated for the total amounts of waste for every industry, comparing 2008 and 2003, and 2008 and 2007. The results were combined and extreme values were thorough examined. Obvious thousand-errors were corrected before the phase for contacting establishments started. In this part of the revision, the extremes with high amounts of waste were detected. To be able to find the values with extreme low amounts comparisons between establishments in the same industry, with similarities in employment and sale was set up. Establishments with high influence on the result were contacted. This is establishments with many employees or high sale. For some establishments additional information were gathered from environmental information published on websites. Some establishments with a high number of employees that have responded no waste generated was taken out from the sample if it was impossible to verify the data.

Calculations 2008

The data are weighted after the number of employees and distributed by industry. The inflation factors are calculated as the number of employees in the sample divided on the number of employees in the population. For each industry 3 strata are established; one for establishments with up to 19 employees, one for establishments between 20 and 99 employees and one for establishments with more than 100 employees. In addition are deviants given the weight 1. The data are inflated by a rate model, where the limits for diffits were set to 5. The sample was run twice, and the second time without deviates from the first run. The results after inflation gave waste amounts to all the establishments. The data is distributed by material and industry after both SIC2002 and SIC2007.

Calculations 2003 &– 2005

All the waste amounts above 1 000 tonnes (about 0,3 per cent of the total amount), were checked with regard to expected amounts of waste compared to the establishments industry , amount at the previous reporting and other available sources.

The data from 2003 to 2005 were revised again in October 2007. Imputation was used for the total amounts of waste for the years that the establishments did not have any data, if the establishment had given data for at leas tone of the other years. The imputation was done by collection of the amounts of waste from the closest reporting year and adjusted for changes in the establishments activity. The respondents before and after imputation is given in table 2 a-c.

Deviant, but correct amounts of waste is given the weight 1. The number of deviants by industry is given in table 2 a-c.

Table 2 a: Respondents before and after imputation and population 2003.

Industry

(SIC)

Population, establishments

Respondents, number of establishments

Population, number of employees

Respondents, number of employees

Original

Imputed

Original

Imputed

I alt

23 939

1 115

1 974

269 064

124 154

162 032

15+16

2 596

232

475

53 494

25 702

36 677

17

853

31

50

4 113

1 291

1 808

18

698

19

24

1 431

469

564

19

78

7

7

401

299

299

20

2 374

83

118

15 415

5 477

6 877

21

138

47

58

8 253

6 984

7 628

22

4 048

71

116

30 925

9 481

12 978

23

17

5

5

1 028

1 021

1 021

24

375

68

91

13 616

9 190

10 405

25

514

36

60

5 772

2 096

2 956

26

1 102

56

173

10 054

4 261

6 328

27

218

51

64

13 263

10 856

11 177

28

2 681

55

121

20 388

3 620

6 323

29

2 945

71

147

23 156

7 423

11 275

30

50

2

4

235

123

151

31

608

40

63

7 473

3 659

4 596

32

165

24

29

4 573

3 038

3 318

33

692

21

61

6 677

2 362

4 139

34

167

29

46

5 196

3 783

4 291

35

1 326

112

158

31 038

19 124

23 746

36

2 127

47

77

11 576

3 776

4 999

37

167

8

27

987

119

476

Table 2 b: Respondents before and after imputation and population 2004.

Industry

(SIC)

Population, establishments

Respondents, number of establishments

Population, number of employees

Respondents, number of employees

Original

Imputed

Original

Imputed

I alt

24 253

1 073

1 943

269 841

115 171

166 341

15+16

2 592

308

466

52 326

28 638

36 206

17

873

19

50

4 405

804

2 001

18

740

7

22

1 398

248

542

19

78

4

7

392

244

280

20

2 343

44

115

15 384

3 464

7 006

21

138

44

56

8 457

7 295

7 821

22

4 031

46

116

31 339

7 965

13 364

23

16

3

5

936

928

932

24

402

68

88

12 350

9 383

10 188

25

515

23

61

5 658

1 296

2 928

26

1 124

133

174

9 952

4 691

6 221

27

222

43

64

12 419

7 399

10 957

28

2 802

50

123

20 879

2 939

6 554

29

2 954

58

138

22 718

7 553

11 600

30

55

3

4

362

287

295

31

600

32

61

7 633

3 246

4 940

32

183

13

29

5 122

2 184

3 974

33

697

38

63

6 785

2 969

4 120

34

173

26

45

5 674

3 993

4 734

35

1 376

64

157

33 022

15 858

26 070

36

2 165

31

76

11 692

3 426

5 182

37

174

16

23

938

361

426

Table 2 c: Respondents before and after imputation and population 2005.

Industry

(SIC)

Population, establishments

Respondents, number of establishments

Population, number of employees

Respondents, number of employees

Original

Imputed

Original

Imputed

I alt

24 269

1 105

1 938

260 308

117 070

159 123

15+16

2 622

338

465

52 013

30 776

36 164

17

883

10

50

4 049

257

1 808

18

787

5

23

1 356

239

557

19

76

3

6

404

236

293

20

2 324

26

112

15 184

2 207

6 834

21

140

42

54

8 133

6 869

7 544

22

3 941

33

111

27 248

7 068

12 089

23

16

3

5

1 027

1 015

1 021

24

403

57

89

13 613

8 076

10 288

25

518

23

58

5 396

1 467

2 857

26

1 136

141

174

10 108

5 154

6 358

27

222

47

63

13 066

10 472

11 159

28

2 732

58

120

19 790

3 907

6 255

29

2 933

85

147

22 859

9 113

11 431

30

55

2

4

209

133

151

31

603

27

63

7 431

2 551

4 609

32

187

10

26

4 152

1 636

3 051

33

709

35

60

7 011

2 808

4 065

34

171

31

46

5 091

3 924

4 291

35

1 434

90

157

29 810

16 437

22 709

36

2 188

22

78

11 386

2 389

5 104

37

189

17

27

972

336

485

After imputation the share of respondents increased in 2003 from 4,7 per cent until 8,2 per cent of the population, in number of establishments.

Not relevant

The standard statistical rules apply for the publication of these statistics. More specifically this means that all industry groupings must have at least three or more entities that have reported data in order for this information to be released.

Not relevant

Errors may and do occur in many steps of the data capture process. Typical sources for errors are filling in forms incorrectly, registration errors, optical reading errors and revision errors. Many errors are discovered and corrected through a thorough revision process and through manual and machine checks.

Sampling errors arise from the fact that the estimates are based on a sample and not a census of the entire population.

Total waste amounts (1000 tonnes) and variation coefficient (CV) for the manufacturing waste statistics, 2008

Variation coefficient (CV)

Waste amounts in 1000 tonnes

Total for the country

4

2344514

Food products and beverages, tobacco products

10

494864

Textile products

13

2331

wearing apparel

11

690

Footwear and leather products

4

1957

Wood and wood products

17

621911

Pulp, paper and paper products

4

305279

Publishing, printing, reproduction

11

57133

Refined petroleum products

:

3668

Chemicals and chemical products

11

57728

Rubber and plastic products

11

12980

Other non-metallic mineral products

8

118530

Basic metals

14

439800

Fabricated metal products

11

34920

Machinery and equipment n.e.c.

9

37754

Office machinery and computers

13

22

Electrical machinery and apparatus

7

15284

Radio, TV sets, communication equip

7

1528

Instruments, watches and clocks

20

3227

Motor vehicles, trailers, semi-tr.

12

15673

Other transport equipment

9

54555

Furniture, manufacturing n.e.c.

15

12484

Recycling

65

52197

Not relevant

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