1 What are we looking at?

The graphs that follow show the estimated greenhouse gas emissions for Staffordshire Moorlands.

The graphs show territorial-based emissions: the emissions that come from activities carried out in the local authority.

The data used comes from the UK local authority and regional greenhouse gas emissions national statistics.

“These statistics provide the most reliable and consistent breakdown of greenhouse gas emissions across the country, using nationally available data sets going back to 2005. They cover territorial emissions of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), although not fluorinated gases.”

See the guidance on using the data for more explanation.

2 Which are our biggest territorial emissions sources?

CO2e emissions by category

Figure 2.1: CO2e emissions by category

CO2e emissions by category

Figure 2.2: CO2e emissions by category

Figure 2.3 shows an interactive version of the same plot. Hovering over specific lines is useful for identifying the sources.

Figure 2.3: CO2e emissions by category

3 Which sources make up 50%, 75% or 95% of our territorial emissions?

We plot this for the first year in which we have data (2005).

Cumulative emissions by source

Figure 3.1: Cumulative emissions by source

Now repeat this for the most recent year in which we have data (2021). Have they changed much?

Cumulative emissions by source

Figure 3.2: Cumulative emissions by source

Table 3.1: CO2e emissions sorted by magnitude (Staffordshire Moorlands, 2021

Source

Total kT CO2e

% of gross

Industry: Large Industrial Installations

577.8

40.3

Agriculture Livestock

198.1

13.8

Domestic Gas

103.6

7.2

Transport: (A roads)

93.0

6.5

Industry Gas

83.6

5.8

Transport: (Minor roads)

66.6

4.6

Industry 'Other'

48.2

3.4

Industry Electricity

43.8

3.1

Domestic Electricity

34.4

2.4

Agriculture 'Other'

26.0

1.8

Domestic 'Other'

22.2

1.5

Agriculture Soils

20.2

1.4

Waste: Landfill

19.7

1.4

Public Sector Gas

8.6

0.6

Agriculture Electricity

7.7

0.5

Commercial Electricity

6.9

0.5

Transport: other

6.0

0.4

Waste: other

4.7

0.3

Public Sector Electricity

3.9

0.3

LULUCF Net Emissions: Settlements

3.2

0.2

Commercial Gas

2.6

0.2

LULUCF Net Emissions: Cropland

0.9

0.1

Agriculture Gas

0.7

0.0

LULUCF Net Emissions: Wetlands

0.6

0.0

Commercial 'Other'

0.2

0.0

Public Sector 'Other'

0.1

0.0

Transport: Diesel Railways

0.1

0.0

LULUCF Net Emissions: Indirect N2O

0.1

0.0

LULUCF Net Emissions: Grassland

-16.8

-1.2

LULUCF Net Emissions: Forest land

-33.5

-2.3

4 Biogenic Net-Zero

It has been suggested that carbon sequestration through land-use and land-use change should be primarily used to offset ‘fast carbon cycle’ agricultural emissions rather than to offset (and thus enable) the continued burning of ‘slow carbon cycle’ fossil fuels. Figure 4.1 shows how close Staffordshire Moorlands is to net-zero biogenic emissions under the definitions included in the plot. Note that this excludes emissions from Agricultural gas and electricity use which are assumed to be from the burning of fossil fuels and thus part of the slow carbon cycle.

How close are we to biogenic Net-Zero?

Figure 4.1: How close are we to biogenic Net-Zero?

In the most recent year, Staffordshire Moorlands had net biogenic emissions using the categories defined in the plot of 199 kT CO2e (negative emissions are 20 % of gross emissions). This value is positive, so emissions are larger than the level of sequestration (carbon capture). In this sense Staffordshire Moorlands is not yet biogenic net-zero.

5 How do our current territorial emissions compare with other local authorities?

This plot compares current emissions with the mean across all other local authorities in England.

Current emissions compared to mean emissions for all other local authorities

Figure 5.1: Current emissions compared to mean emissions for all other local authorities

For comparison in 2021:

  • Mean total territorial emissions in comparator local authorities = 393.4 T CO2e
  • Staffordshire Moorlands total territorial emissions = 493.9 T CO2e

6 Data tables

The data tables used to create the plots - if you need the numbers.

6.1 Territorial emissions

## Using 'Total kT CO2e' as value column. Use 'value.var' to override
Table 6.1: Local authority territorial emissions (Staffordshire Moorlands, kT CO2e)

Source

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

Agriculture 'Other'

24.5

24.2

24.6

29.2

27.1

25.2

22.1

26.7

22.3

23.4

26.4

24.4

25.9

25.8

23.0

22.2

26.0

Agriculture Electricity

12.0

14.6

14.0

12.2

10.6

11.6

11.2

11.4

11.2

9.4

8.1

6.4

7.1

9.0

8.2

6.6

7.7

Agriculture Gas

0.7

0.5

0.5

0.5

0.5

0.5

0.4

0.4

0.8

0.7

0.7

0.9

0.5

1.0

0.8

0.9

0.7

Agriculture Livestock

228.0

219.6

218.8

215.3

213.0

212.2

208.0

206.1

207.0

215.3

213.8

210.8

209.7

200.8

197.6

196.4

198.1

Agriculture Soils

25.3

23.9

23.5

22.6

22.6

23.1

22.8

22.1

22.9

23.4

23.4

21.9

21.3

21.1

20.7

20.7

20.2

Commercial 'Other'

0.4

0.4

0.3

0.4

0.6

0.3

0.4

0.3

0.3

0.3

0.5

0.5

0.5

0.3

0.2

0.2

0.2

Commercial Electricity

55.5

67.4

65.0

56.5

49.3

53.5

51.8

52.7

51.6

43.6

37.3

29.9

18.5

7.9

7.5

5.8

6.9

Commercial Gas

9.3

7.3

7.8

7.3

6.8

7.5

5.5

5.6

11.3

9.7

10.0

12.5

13.1

2.3

2.2

3.5

2.6

Domestic 'Other'

27.6

28.7

25.4

27.3

26.7

30.6

24.1

24.2

25.4

22.2

22.3

22.5

21.6

22.6

22.2

21.6

22.2

Domestic Electricity

96.7

108.4

108.6

104.0

93.3

95.7

91.1

95.2

86.9

73.7

62.9

50.6

44.0

39.6

35.5

33.3

34.4

Domestic Gas

137.4

133.4

124.3

126.9

115.1

125.1

105.2

112.7

114.7

97.3

104.9

105.4

103.0

103.2

102.3

100.1

103.6

Industry 'Other'

58.9

56.7

54.7

47.9

48.4

54.1

49.6

45.4

46.1

49.8

46.7

47.1

45.4

49.7

48.2

50.5

48.2

Industry Electricity

103.2

125.4

121.0

105.2

91.7

99.6

96.3

98.0

96.1

81.2

69.4

58.0

53.4

57.3

45.7

37.2

43.8

Industry Gas

67.9

53.5

56.5

53.4

49.4

54.5

39.9

40.8

82.2

70.9

73.0

68.1

63.0

76.1

80.2

53.9

83.6

Industry: Large Industrial Installations

709.7

685.5

680.3

633.2

563.8

623.9

645.7

592.6

571.1

620.7

618.5

619.6

558.5

617.4

599.7

571.4

577.8

LULUCF Net Emissions: Cropland

1.6

1.6

1.4

1.4

1.4

1.4

1.3

1.4

1.3

1.2

1.2

1.2

1.1

1.0

1.0

0.9

0.9

LULUCF Net Emissions: Forest land

-31.6

-32.1

-32.4

-32.9

-33.2

-33.6

-33.8

-33.3

-33.6

-33.9

-33.7

-34.0

-33.8

-22.8

-33.8

-33.7

-33.5

LULUCF Net Emissions: Grassland

-10.9

-11.4

-11.7

-12.4

-12.6

-12.9

-13.3

-13.7

-14.4

-13.9

-15.4

-15.0

-15.8

-15.7

-15.8

-16.3

-16.8

LULUCF Net Emissions: Indirect N2O

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

LULUCF Net Emissions: Settlements

4.0

3.9

3.9

3.7

3.7

3.8

3.7

3.6

3.2

3.1

3.4

4.1

3.4

3.9

3.6

3.1

3.2

LULUCF Net Emissions: Wetlands

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

Public Sector 'Other'

1.5

1.1

1.2

0.6

0.7

0.7

0.8

0.8

0.7

0.8

0.1

0.1

0.1

0.2

0.2

0.1

0.1

Public Sector Electricity

8.0

9.8

9.4

8.2

7.1

7.8

7.5

7.6

7.5

6.3

5.4

4.1

4.1

4.9

4.4

3.3

3.9

Public Sector Gas

5.4

4.2

4.5

4.2

3.9

4.3

3.2

3.2

6.5

5.6

5.8

5.9

5.9

8.2

7.7

12.2

8.6

Transport: (A roads)

146.6

144.8

146.0

142.6

139.0

139.2

139.0

136.1

133.2

135.0

138.7

141.9

140.8

139.4

108.6

85.9

93.0

Transport: (Minor roads)

77.7

76.8

78.6

76.2

72.4

70.9

68.4

67.3

67.8

70.4

71.8

74.7

73.3

72.1

69.5

58.2

66.6

Transport: Diesel Railways

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

Transport: other

4.4

4.8

4.9

5.1

5.2

5.4

5.3

5.2

5.4

5.6

5.8

5.9

6.2

6.3

6.5

5.5

6.0

Waste: Landfill

7.5

7.0

5.1

11.6

47.4

45.7

41.3

26.4

31.0

18.9

19.1

24.1

36.7

38.4

34.9

25.4

19.7

Waste: other

4.6

5.2

5.3

5.2

4.9

4.9

5.0

4.8

4.8

5.0

4.8

4.6

4.8

4.8

4.7

4.5

4.7

7 Further information

Contact: Dr Ben Anderson

Report last updated: 2023-07-31 18:13:16.367479

8 Acknowledgements

The code used to generate these graphs draws heavily on Dr Tom Rushby’s Local Authority Emissions explorer.

9 Code

This report was built using Rmarkdown in RStudio. The code is available for inspection and re-use. Changes to the code are logged so you can see how older version of this report may have been updated (and when).

R packages used:

  • data.table (Dowle et al. 2015)
  • flextable (Gohel 2021)
  • ggplot2 (Wickham 2009)
  • here (Müller 2017)
  • knitr (Xie 2016)
  • rmarkdown (Allaire et al. 2018)

References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, and Winston Chang. 2018. Rmarkdown: Dynamic Documents for r. https://CRAN.R-project.org/package=rmarkdown.
Dowle, M, A Srinivasan, T Short, S Lianoglou with contributions from R Saporta, and E Antonyan. 2015. Data.table: Extension of Data.frame. https://CRAN.R-project.org/package=data.table.
Gohel, David. 2021. Flextable: Functions for Tabular Reporting. https://CRAN.R-project.org/package=flextable.
Müller, Kirill. 2017. Here: A Simpler Way to Find Your Files. https://CRAN.R-project.org/package=here.
Wickham, Hadley. 2009. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. http://ggplot2.org.
Xie, Yihui. 2016. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://CRAN.R-project.org/package=knitr.