Content
About the statistics
Definitions
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Name and topic
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Name: Waste from manufacturing industries
Topic: Nature and the environment
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Responsible division
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Division for Energy, Environmental and Transport Statistics
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Definitions of the main concepts and variables
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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.
Administrative information
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Regional level
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National figures only. Figures on a regional level are not possible with the sample drawn for the survey.
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Frequency and timeliness
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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.
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International reporting
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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).
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Microdata
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Archiving of the microdata is included as a part of the industrial production statistics standard archiving procedures.
Background
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Background and purpose
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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.
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Users and applications
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Users are the environmental authorities, NGOs, research institutions and the general public.
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Equal treatment of users
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Not relevant
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Coherence with other statistics
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Data from the survey on waste from manufacturing industry is used in the waste accounts for Norway.
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Legal authority
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The Statistics Act, §§2-1, 2-2, 2-3 (coercive fine)
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EEA reference
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Waste Statistics Regulation (EC2150/2002)
Production
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Population
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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).
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Data sources and sampling
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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.
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Collection of data, editing and estimations
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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.
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Seasonal adjustment
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Not relevant
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Confidentiality
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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.
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Comparability over time and space
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Not relevant
Accuracy and reliability
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Sources of error and uncertainty
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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
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Revision
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Not relevant