08 January 2021 | 1100 hrs | 002/2021

In November 2020, the seasonally adjusted index of industrial production decreased by 1.9 per cent over the previous month. When compared to November 2019, the working-day adjusted index of industrial production decreased by 2.6 per cent.

Index of Industrial Production: November 2020

Cut-off date:

4 January 2021

Monthly comparison

In November 2020, the seasonally adjusted index of industrial production decreased by 1.9 per cent. The largest decrease was registered in the production of energy (9.6 per cent) followed by a decrease of 3.3 per cent in the production of consumer goods. The production of capital goods and intermediate goods increased by 1.7 per cent and 1.4 per cent respectively (Table 2).

Annual comparison

When compared to November 2019, the working-day adjusted index of industrial production went down by 2.6 per cent. Decreases were registered in the production of energy (18.2 per cent), capital goods (2.3 per cent) and intermediate goods (0.2 per cent). On the other hand, consumer goods' production increased by 0.9 per cent (Table 4)

percentage change t / t-12

Chart 1. Annual working-day adjusted variation

(% change over corresponding month of the previous year)

15

10

5

0

-5

-10

J F M A M J J A S O N D

J F M A M J J A S O N D

J F M A M J J A S O N

2018

2019

2020

month

Statistics in this News Release should be interpreted in the context of the COVID-19 situation.

Compiled by: Short-term Statistics Unit

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2

Table 1.

Industrial production indices by period and

main industrial grouping

(seasonally adjusted; 2015=100)

Main industrial grouping

Nov 19

Dec 19

Jan 20

Feb 20

Mar 20

Apr 20

May 20

Jun 20

Jul 20

Aug 20

Sep 20

Oct 20

Nov 20

Intermediate goods

101.7

100.6

102.4

103.2

102.0

97.0

94.5

93.4

94.6

95.5

98.7

100.8

102.2

Energy

135.4

145.8

171.3

166.4

151.5

139.6

140.0

139.8

135.5

133.0

132.5

126.5

114.3

Capital goods

103.1

112.7

114.1

109.9

95.0

82.4

81.5

87.8

97.9

103.4

98.3

99.5

101.2

Consumer goods

98.0

104.5

100.1

100.5

94.8

89.7

95.1

93.5

97.8

100.0

100.3

102.4

99.0

of which:

Durable consumer goods

93.5

99.6

92.7

93.3

90.4

85.9

86.3

91.4

88.2

94.5

87.6

85.2

90.1

Non-durable consumer goods

98.2

103.6

101.0

101.1

95.2

90.1

95.7

93.7

98.2

100.3

101.0

103.5

99.5

Total production

105.5

109.2

111.2

110.9

103.6

96.8

98.2

98.0

102.0

104.6

103.6

104.8

102.8

Table 2. Monthly variation by period and main industrial grouping

(seasonally adjusted)

Main industrial grouping

Nov 19

Dec 19

Jan 20

Feb 20

Mar 20

Apr 20

May 20

Jun 20

Jul 20

Aug 20

Sep 20

Oct 20

Nov 20

Intermediate goods

0.1

-1.1

1.8

0.8

-1.2

-4.9

-2.6

-1.2

1.3

1.0

3.4

2.1

1.4

Energy

-1.3

7.7

17.5

-2.9

-9.0

-7.9

0.3

-0.1

-3.1

-1.8

-0.4

-4.5

-9.6

Capital goods

-2.8

9.3

1.2

-3.7

-13.6

-13.3

-1.1

7.7

11.5

5.6

-4.9

1.2

1.7

Consumer goods

1.6

6.6

-4.2

0.4

-5.7

-5.4

6.0

-1.7

4.6

2.2

0.3

2.1

-3.3

of which:

Durable consumer goods

-1.1

6.5

-6.9

0.6

-3.1

-5.0

0.5

5.9

-3.5

7.1

-7.3

-2.7

5.8

Non-durable consumer goods

1.6

5.5

-2.5

0.1

-5.8

-5.4

6.2

-2.1

4.8

2.1

0.7

2.5

-3.9

Total production

1.0

3.5

1.8

-0.3

-6.6

-6.6

1.4

-0.2

4.1

2.5

-1.0

1.2

-1.9

Notes:

  1. Table 2 shows percentage change compared to the previous month.
  2. The calculation of growth rates from the indices table may differ slightly from the published growth rates, due to rounding.

Table 3. Industrial production indices by period and main industrial grouping

(working-day adjusted; 2015=100)

Main industrial grouping

Nov 18

Nov 19

Dec 19

Jan 20

Feb 20

Mar 20

Apr 20

May 20

Jun 20

Jul 20

Aug 20

Sep 20

Oct 20

Nov 20

Intermediate goods

106.7

105.9

86.5

99.9

105.8

114.2

96.1

95.8

95.6

93.3

80.9

102.7

108.7

105.7

Energy

135.8

120.1

137.8

171.4

152.6

139.6

125.0

132.3

142.9

160.2

164.3

143.3

128.5

98.2

Capital goods

117.1

104.8

105.0

116.6

108.2

102.9

84.5

79.3

89.3

95.7

96.0

98.9

102.6

102.4

Consumer goods

102.9

106.0

82.8

92.7

94.4

92.7

86.8

100.3

94.0

105.3

100.2

108.6

112.7

107.0

of which:

Durable consumer goods

97.5

96.4

92.6

94.2

93.4

91.6

86.0

87.3

91.4

90.3

86.8

88.3

87.1

93.1

Non-durable consumer goods

103.3

106.6

82.2

92.7

94.4

92.8

86.8

101.0

94.2

106.2

100.9

109.8

114.2

107.8

Total production

110.8

107.5

95.1

109.0

107.2

105.6

93.2

98.9

99.4

107.4

103.0

109.6

111.7

104.7

Table 4. Annual variation by period and main industrial grouping

(working-day adjusted)

Main industrial grouping

Nov 18

Nov 19

Dec 19

Jan 20

Feb 20

Mar 20

Apr 20

May 20

Jun 20

Jul 20

Aug 20

Sep 20

Oct 20

Nov 20

Intermediate goods

-0.3

-0.7

-0.1

-3.9

4.6

4.3

-9.1

-13.7

-8.0

-8.3

-9.1

-2.2

0.4

-0.2

Energy

43.2

-11.6

5.9

17.6

30.3

16.8

3.4

-0.5

-3.8

1.6

-3.5

1.8

-7.6

-18.2

Capital goods

11.6

-10.5

6.3

12.9

5.5

-7.0

-19.8

-24.5

-19.0

-6.7

-0.9

-7.7

-6.5

-2.3

Consumer goods

8.7

3.0

21.1

19.5

15.7

10.8

-3.6

3.9

-0.4

1.8

0.0

1.0

7.0

0.9

of which:

Durable consumer goods

-0.1

-1.1

3.7

-2.3

-1.3

-4.4

-10.4

-9.4

-1.7

-9.2

-0.7

-10.6

-10.2

-3.4

Non-durable consumer goods

7.7

3.2

22.5

21.2

16.7

11.9

-3.2

4.6

-0.2

2.4

0.0

1.7

7.8

1.1

Total production

10.6

-3.0

9.7

12.1

13.2

6.0

-7.4

-6.8

-6.8

-2.0

-2.6

-1.3

0.5

-2.6

Notes:

  1. Table 4 shows percentage change compared to the corresponding month of the previous year.
  2. The calculation of growth rates from the indices table may differ slightly from the published growth rates, due to rounding.

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Methodological Notes

  1. The Index of Industrial Production (IIP) is regarded as one of the most important measures of economic activity. Developments in the industrial production index describe the economic cycles of industry. For short-term statistics, this index is the reference indicator for economic development and is used in particular to identify changes in trends at an early stage. The index of industrial production has been compiled since January 2000 and monitors the changes in the production of leading products from a sample of industrial enterprises. Such enterprises cover over 95 per cent of the total industrial production.
  2. A Laspeyres-type index is used for calculating the index of industrial production, with 2015 as the base year.
  3. The number of surveyed enterprises is approximately 200. The activities covered by the index are calculated as follows: 60 per cent are calculated using the physical quantities method, 20 per cent are calculated using the deflated turnover approach, while the remaining 20 per cent are computed using the hours worked method.
  4. The index numbers in this release are working-day and seasonally adjusted. These statistical methods aid interpretation of data by removing regularly recurring variations from a time series:
    1. Working-dayadjustment is a statistical method which is used to remove the calendar effect from an economic time series. The calendar effect is the variation caused by the changing number of working days in different months. The number of working days for a given month may depend on the timing of certain public holidays, the possible overlap between public holidays and non-working days, and the occurrence of a leap year. This method is used to compare data with the corresponding month of the preceding year.
    2. Seasonal adjustment removes variation effects which are caused by the number of days in a month, holidays and particular events such as Christmas. Statistically, seasonal adjustment takes place after a time series has already been cleared of calendar effects by means of working-day adjustment. Seasonal adjustment is used to compare data with the preceding month.
    3. In seasonal and working-day adjustments, the direct approach is used. The direct approach means that each time series is individually adjusted.
  5. The NSO has adopted methodologies and guidelines which are recommended by both Eurostat and the International Monetary Fund (IMF).
  6. The objective of the Main Industrial Groupings (MIGs) is to provide an activity breakdown of industry (NACE Rev. 2 sections B, C, D and E). There are five MIGs which regroup all activities between NACE sections B to E, covering the economic activities of companies in quarrying, manufacturing and energy.
  7. The 2015 weights for the main industrial groupings are shown in the table below:

Main industrial grouping

Value added (%)

Intermediate goods

22.7

Energy

12.5

Capital goods

20.6

Consumer goods

44.2

Durable consumer goods

2.4

Non-durable consumer goods

41.8

Total

100.0

  1. Figures for the past 26 months, inclusive of the reference month, are to be considered as provisional and therefore subject to revision.
  2. As from the year 2018, the index has been re-referenced from 2010 = 100 to 2015 = 100. Hence, news releases with reference month January 2018 onwards, cannot be directly compared with those published beforehand.
  3. More information relating to this news release may be accessed at:
    Sources and Methods:
    https://nso.gov.mt/en/nso/Sources_and_Methods/Unit_B2/Short-term_Statistics/Pages/Short-term-Statistics.aspxStatistical Concepts:https://metadata.nso.gov.mt/concepts.aspx
    Metadata:https://metadata.nso.gov.mt/reports.aspx?id=13
    Classifications:https://metadata.nso.gov.mt/classificationdetails.aspx?id=NACE%20Rev.%202
  4. References to this news release are to be cited appropriately.
  5. A detailed news release calendar is available on:
    https://nso.gov.mt/en/News_Releases/Release_Calendar/Pages/News-Release-Calendar.aspx

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NSO - National Statistics Office of Malta published this content on 08 January 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 08 January 2021 10:03:09 UTC