FC 301 Kaplan University Personal Well Being in The United Kingdom Report

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Mathematics

FC 301

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In this report, you should select a data set and define three statistical questions to answer by using the statistical analysis, calculations, and graphs techniques you have learned so far in this module. Your questions, data sets, analysis, results and conclusions should be written as a report in a single word document as shown on the attached task instructions.

  • The first two documents:
    1. Statistical Investigation Report Task instructions
    2. Extra guidance & the Report Template
    contain the task instructions, extra detailed guidance, and a template which you can use for your report.
  • The 3rd and 4th documents:
    3. Examples- Data Sets
    4. Example Calculations & Graphs analysis
    are examples for data set selection and an example for the expected calculations and graphs section.
  • The last document is an extra reading on statistical reporting.
    5. Extra Reading Statistical Reporting

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Assessment Task Information (Remote delivery) Key details: Assessment title: Statistical Investigation Module Name: Statistics Module Code: FC301 Tutor’s Name: Mohamed Hassanien Assessment will be set on: Beginning of Cycle 3 Assessment is due on: Week(s) End of Cycle 3 (22 February 2021 at 9:00 AM UK) Assessment weighting: 50% Assessment Instructions What do you need to do for this assessment? You are required to complete a written Statistical Investigation, which will involve researching a topic and question of your choice. You will introduce the topic by providing a historical or theoretical background and your will explain how the research question will be answered. You will collect data by either primary or secondary methods or both and descriptively analyse the data by use of calculations and graphs. You will complete a written analysis of the data, which will inform your conclusion. Any sources used will be referenced and examples of raw data will be included in an Appendices section. Your tutor will provide ideas for research topics if required and support and feedback over a number of weeks. You must submit the Statistical Investigation on the VLE and via Turnitin by a set day and time. Structure: The Statistical Investigation will be typed as a Word document, with sections and subheadings. Any graphs created using software such as Excel will be inserted into the Word document. The Statistical Investigation will involve the following sections: • Title page • Introduction • Methodology • Calculations and Graphs • Analysis of data • Conclusion • References • Appendices (if appropriate) Theory and/or task resources required for the assessment: You may use your textbook, notes, PowerPoints etc. You will use a variety of academic sources from which you will collect data. Your work and ideas must be your own and/or correctly referenced. | Kaplan International Pathways | 1 | kaplanpathways.com Referencing style: This Statistical Investigation does require referencing (Harvard referencing) You will be expected to use at least 4 sources Expected word count: You must include all of the recommended sections but there is no set word count Learning Outcomes Assessed: 1. Use descriptive statistical methods to analyse data using a relevant software package and interpret the outcomes in relation to context 2. Accurately present data in visual form (tables, graphs and charts), using appropriate software 3. Understand and apply statistical theory to gather, process and present data accurately using a range of techniques appropriate to their field of study 4. Critically assess descriptive, predictive and visual statistics from a range of sources with reference to statistical theory best practice Submission Requirements: You must include the following paragraph on your title page: I confirm that this assignment is my own work. Where I have referred to academic sources, I have provided in-text citations and included the sources in the final reference list. You must submit the assessment electronically via the VLE module page and via Turnitin by date/time add local college details here. You should submit your work as a single Word document. Label your document as follows: YOUR STUDENT NUMBER – MODULE CODE e.g. P225566-FC301 Assessments submitted after the submission deadline will incur penalties and may not be accepted. How will this assessment be marked? Your answers will be marked according to a standardised mark scheme. Marks will be awarded in each section and will be for clarity, accuracy, detail, relevance and the extent to which the research question has been answered. The overall mark will be a percentage (0-100%). How will you get feedback? Your tutor will mark the assessment and provide you with a written feedback sheet if requested. You can use this feedback to guide your further learning on the module. | Kaplan International Pathways | 2 | kaplanpathways.com Extra Guidance: · State at least 3 research questions relating to this topic that you will be attempting to answer using statistical methods. · Collect appropriate secondary data to address each of your research questions and present it in tabular or other suitable form. It is suggested that you use data from the UK’s Office for National Statistics (www.ons.gov.uk). Ensure that you provide a citation for all data and include a list of reference sources at the end of your report. · Use a suitable software package (e.g. MS Excel) and a range of appropriate graphical techniques to display your data. Your report should include at least 3 graphs of at least 2 different types. All graphs must be produced by you and MUST NOT be copied from reference sources. · Describe any patterns you observe and perform calculations of relevant quantities where appropriate. · Use your data to draw relevant conclusions addressing your research questions. 1 Template Statistics Investigation Report Module: FC301- Statistics Student Name: xxxxx Student ID: xxxxx Tutor(s) name(s): xxxxx and xxxxx Date: dd/mm/yyyy Declaration: I confirm that this assignment is my own work. Where I have referred to academic sources, I have provided in-text citations and included the sources in the final reference list. 2 Introduction: (maximum half of a page) • • • State the topic you are investigating Introduce the importance of the topic you would like to discuss and any required definitions. For example, internet traffic is the flow of data within the internet and it has increased over years. Understanding such growth and related variables such as population per region is critical for providing a reliable internet service. Define and write down at least three statistical questions (related to your selected topic) here Q1 ……………… Q2 ……………… Q3 ……………….. Methodology: • • Define how you will get the data, e.g. primary or secondary data to answer your predefined questions. Include the set of data you chose plus the source and numbering the data Look at the example below, Table1- Favorite type of movie Source: xxxx (use (use Harvard or Sixth Edition APA style) Table 1 describes the number of people like each type of movie. The types of movie classified in 5 parts: Comedy, Action, Romance, Drama and Science Fiction. …. • • Briefly describe why you chose this data. What methods do you want to choose for the calculations? Why those methods you have chosen are appropriate for your calculations? Calculations and Graphs: • Answer your three questions stated in Introduction section by showing all your calculations. If you are using Excel for the calculations, copy your graph, data, tables, etc and then paste it here. • Describe what you have done; what are your results/ outcomes for each section of your graphs/ calculations. 3 Note: label each of your graphs, tables, data, calculations and figures then describe them. Remember you do not need to use ‘Source’ if you create a graph or table, just label them. Look at the example below, Figure 1. Pie chart for the favorite type of movie Analysis of Data: • Analyses (explain) your final result/ outcome. For example, In Figure 1, a pie chart has been created from the Table 1. It is a good way to show the relative sizes for each type of movie. This method helps to rank the type of movies easily and quickly. …The bigger the area of a sector is the more favorite type of movie. Figure 1 shows Romance has the biggest area in the chart. This means it is the favorite type of movie followed by Action, Comedy and Science Fiction, and Drama. …. Conclusion: (maximum half of a page) • Briefly describe your conclusion about your final result/outcome. What does it mean your final result? What do you understand about your final result? References: • The Reference needs to be in a new page. • Minimum of three reference required. • Use the Harvard or Sixth Edition APA style. Appendices: • The Appendix needs to be in a new page. • Attach your Excel spreadsheet here. You can use ‘snipping tool’, ‘screenshot’ or any other methods 4 • Be careful the images are clear and readable • Number any images and describe in one sentence what this image shows Look at the example below, Figure 1A- Regression Graph shows the relationship between numbers of hours revision vs Exam mark Remember: Literature Review (Main body): • Your report must be in pdf format with the attached Excel spreadsheet in the Appendix section. • Save your final pdf report with Pxxxxxx, First name Surname in Conclusion: your device before submission. • Submit your final pdf report via Turnitin on the vle, Assessment, FC301- January cohort- SUMMATIVE Submission link for Statistics Investigation Reference: • You can submit only once for the SUMMATIVE Submission link Important: • Write clearly and precisely. • Do not use any abbreviations e.g. write do not NOT don’t or it is NOT it’s. 5 • Use either font face of ‘Arial’ or ‘Times New Roman’ with the font size of 12. • Use heading with the font size of 16 and sub-heading with the font size of 14. • Be consistent; e.g. leave all your figures, data, graphs either in the middle or left side of your page. Look at the example I have created. The Table 1 and Figure 1 are in the middle of the page. • Align text to both the left and right margins. 6 Data Sets for Case studies 1. Average Weekly Earnings (AWE), seasonally adjusted. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours /datasets/averageweeklyearningsearn01 2. Unemployment rate (aged 16 and over, seasonally adjusted) https://www.ons.gov.uk/employmentandlabourmarket/peoplenotinwork/unemployment#times eries 3. Business demography UK - Annual data on births, deaths and survivals of businesses in the UK, by geographical area https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/datasets/b usinessdemographyreferencetable 4. Producer price inflation https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/mm22producerpriceindice s 5. Birth’s by parents’ characteristics for 2018 https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/ datasets/birthsbyparentscharacteristics 6. Personal well-being estimates https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/headlineestimate sofpersonalwellbeing Each of these titles contains lots of data subsets which you can use. It is up to you to choose any data set you prefer. Example Statistics Investigation Report Module: FC301- Statistics Student Name: xxxxx Student ID: xxxxx Tutor(s) name(s): xxxxx and xxxxx Date: dd/mm/yyyy 1 Pedestrians killed in collision with car, pick-up truck or van Deaths (US) (CDC) correlates with Drivers killed in collision with car, pick-up truck or van Deaths (US) (CDC) Years Pedestrians killed in collision with car, pick- Drivers killed in collision with car, pickup truck or van Deaths (US) (CDC) up truck or van Deaths (US) (CDC) (x) (y) 1999 2877 2988 2000 2909 2996 2001 3005 3288 2002 3078 3594 2003 2980 3412 2004 2790 3210 2005 2728 2839 2006 2764 2726 2007 2476 2429 2008 2112 1937 2009 1999 1672 2010 1838 1314 Total 31556 32405 Part 1: For your independent variable x: (a) Minimum Value 1838 Maximum Value 3078 Range 1240 Q1 2112 Median 2777 Q3 2980 Interquartile Range 868 Mode \ Mean Standard Deviation 2629.67 409.7267382 2 (b) F CF RF PRF 1500≤x
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Personal Well Being in the United Kingdom (UK)
Module: FC301- Statistics
Student Name: xxxxx
Student ID: xxxxx
Tutor(s) name(s): xxxxx and xxxxx
Date: dd/mm/yyyy
Declaration:
I confirm that this assignment is my own work. Where I have referred
to academic sources, I have provided in-text citations and included the
sources in the final reference list.

Introduction
The topic of interest is with regards to the personal well-being estimates for the people of the
UK. Understanding the personal well-being of the people in the UK will enable the
understanding of whether the good economic conditions enjoyed in the UK translate to better
well-being of the people. In addition, the personal well-being will be compared among the
various countries that make up the UK; England, Wales, Scotland, and Northern Ireland so as to
evaluate whether personal well-being levels are similar or different among the various countries.
Understanding the well-being is critical in understanding if there is need for more social
programs to improve well-being, and also whether some countries in the UK are being left out in
terms of social programs. Personal well-being will be investigated in terms of four main
constructs; Life satisfaction, worthwhile, happiness, and anxiety. All four constructs were
measured on a scale of 1-10. High scores of Life satisfaction, worthwhile, and happiness indicate
better personal well-being with lower anxiety scores also indicating better personal well-being.
The research questions of interest being investigated were therefore:
1) What is the trend in life satisfaction in the UK and UK countries since 2012, and what are the
current levels of life satisfaction in the UK and how does it compare among the various UK
countries?
2) What is the trend in worthwhile in the UK and UK countries since 2012, and what are the
current levels of worthwhile in the UK and how does it compare among the various UK
countries?
3) What is the trend in happiness in the UK and UK countries since 2012, and what are the
current levels of happiness in the UK and how does it compare among the various UK
countries?

4) What is the trend in anxiety in the UK and UK countries since 2012, and what are the current
levels of anxiety in the UK and how does it compare among the various UK countries?
Methodology
Answering the above question will provide information on the overall personal well-being of US
citizens. To evaluate these research questions of interest, secondary data was used. The
secondary data used was the Annual personal well-being estimates dataset obtained from the UK
Office for National Statistics. The link to the dataset is;
https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/headlineestimatesof
personalwellbeing.
The dataset was chosen as it contains data on the personal well-being of individuals in the UK,
and also data on personal well-being of individuals in individual countries of the UK. The actual
data used for the study is found in the appendix below (Frankfort et al, 2020). Calculations
computed to answer the research question of interest were mostly descriptive statistics and
visualizations. Descriptive statistics and visualization would help to explore trends as well as
make comparisons based on the data (Render et al., 2013).
Calculations and Graphs
Life satisfaction in the UK
The first computations carried out was with regards to life satisfaction in the UK. Calculation
involved computation of Mean and standard deviation of average satisfaction for the UK since
2012 and also of individual UK countries. Graphs in the form of trendlines were also made to
show the trend in life satisfaction for the UK and individual UK countries. A pie chart was also

used to show current life satisfaction levels as at 2019-2020 in the UK. The results are as
presented in the figures below.

Average
Standard Deviation

Whole UK
England
Wales
Scotland Northern Ireland
7.60
7.59
7.58
7.64
7.81
0.11
0.11
0.11
0.08
0.13

Figure 1: Descriptive statistics output for life satisfaction from 2012-2020

Figure 2: Trendline for life satisfaction from 2012-2020

Current Life Satisfaction in the UK(2019-2020)

5%
30%

14%

Low
Medium
High
Very High

51%

Figure 3: Current life satisfaction in the UK (2019-2020)
Worthwhile in the UK
Computations were also carried out was with regards to Worthwhile in the UK. Calculation
involved computation of Mean and standard deviation of average worthwhile for the UK since
2012 and also of individual UK countries. Graphs in the form of trendlines were also made to
show the trend in worthwhile for the UK and individual UK countries. A pie chart was also used
to show current worthwhile levels as at 2019-2020 in the UK. The results are as presented in the
figures below.

Average
Standard Deviation

Whole UK England Wales
Scotland Northern Ireland
7.81
7.80
7.80
7.80
8.00
0.08
0.08
0.07
0.07
0.12

Figure 4: Descriptive statistics output for Worthwhile from 2012-2020

Figure 5: Trendline for Worthwhile from 2012-2020

Figure 6: Current Worthwhile in the UK (2019-2020)

Happiness in the UK

Computations carried out was with regards to happiness in the UK. Calculation involved
computation of Mean and standard deviation of happiness for the UK since 2012 and also of
individual UK countries. Graphs in the form of trendlines were also made to show the trend in
happiness for the UK and individual UK countries. A pie chart was also used to show current
happiness levels as at 2019-2020 in the UK. The results are as presented in the figures below.

Average
Standard Deviation

Whole UK England
Wales
Scotland Northern Ireland
7.44
7.44
7.43
7.42
7.65
0.10
0.10
0.08
0.07
0.11

Figure 7: Descriptive statistics output for happiness from 2012-2020

Figure 8: Trendline for Happiness from 2012-2020

Figure 9: Current happiness in the UK (2019-2020)
Anxiety in the UK
Computations carried out was with regards to anxiety in the UK. Calculation involved
computation of Mean and standard deviation of anxiety for the UK since 2012 and also of
individual UK countries. Graphs in the form of trendlines were also made to show the trend in
anxiety for the UK and individual UK countries. A pie chart was also used to show current
anxiety levels as at 2019-2020 in the UK. The results are as presented in the figures below.

Average
Standard Deviation

Whole UK England
Wales
Scotland Northern Ireland
2.95
2.95
2.99
2.92
2.84
0.10
0.10
0.07
0.10
0.19

Figure 10: Descriptive statistics output for anxiety from 2012-2020

Figure 11: Trendline for anxiety from 2012-2020

Figure 12: Current anxiety levels in the UK (2019-2020)

Analysis of Data
In Figure 1, a descriptive table has been created from the table 1 and table 2 while in Figure
2, a trendline has also been created from table 1 and table 2. Based on the descriptive
statistics, it is observed that there are high levels of life satisfaction, about 7.6, in the UK and
countries in the UK. The variation in life satisfaction since 2012 has also been small and
similar in the whole of UK, and also individual countries in the UK. The trendline shows that
there has been a small but gradual rise in life satisfaction since 2012. While trends in life
satisfaction are similar for most UK countries, the trendline of Northern Ireland shows that it
has had higher levels of life satisfaction compared to other countries in the United Kingdom.
Its average life satisfaction is also higher than that of other countries in the UK. In figure3, a
pie chart has been created from table1. The pie chart shows the current life satisfaction levels
in the UK. Based on the pie chart, majority of individuals in the UK, about 81%, have high or
very high life satisfaction with the majority, 51%, having high life satisfaction.
In Figure 4, a descriptive table has been created from the table 3 and table 4 while in Figure
45 a trendline has also been created from table 3 and table 4. Based on the descriptive
statistics, it is observed that there are high levels of worthwhileness, about 7.8, in the UK and
countries in the UK. The variation in worthwhileness since 2012 has also been small and
similar in the whole of UK, and also individual countries in the UK. The trendline shows that
there has been a small but gradual rise in worthwhileness since 2012. While trends in life
satisfaction are similar for most UK countries, the trendline of Northern Ireland shows that it
has had higher levels of worthwhileness compared to other countries in the United Kingdom.
Its average life satisfaction is also higher than that of other countries in the UK. In figure 6, a
pie chart has been created from table 3. The pie chart shows the current worthwhileness

levels in the UK. Based on the pie chart, majority of individuals in the UK, about 84%, have
high or very high worthwhileness with the majority, 48%, having high worthwhileness.
In Figure 7, a descriptive table has been created from the table 5 and table 6 while in Figure
8, a trendline has also been created from table 5 and table 6. Based on the descriptive
statistics, it is observed that there are high levels of happiness, about 7.4, in the UK and
countries in the UK. The variation in happiness since 2012 has also been small and similar in
the whole of UK, and also individual countries in the UK. The trendline shows that there has
been a small but gradual rise in happiness since 2012. While trends in happiness are similar
for most UK countries, the trendline of Northern Ireland shows that it has had higher levels
of happiness compared to other countries in the United Kingdom. Its average happiness is
also higher than that of other countries in the UK. In figure 9, a pie chart has been created
from table 5. The pie chart shows the current happiness levels in the UK. Based on the pie
chart, majority of individuals in the UK, about 75%, have high or very high happiness levels
with the majority, 41%, having high happiness level.
In Figure 10, a descriptive table has been created from the table 7 and table 8 while in Figure
11, a trendline has also been created from table 7 and table 8. Based on the descriptive
statistics, it is observed that there are low anxiety levels, about 2.95, in the UK and countries
in the UK. The variation in anxiety levels since 2012 has also been small and similar in the
whole of UK, and also individual countries in the UK. The trendline shows that there has
been constant anxiety levels since 2012. While trends in anxiety levels are similar for the UK
countries, the trendline of Northern Ireland shows that it has had much lower anxiety levels
compared to other countries in the United Kingdom in the year 2017-2018. Its average
anxiety level is also lower than that of other countries in the UK. In figure 12, a pie chart has

been created from table 7. The pie chart shows the current anxiety levels in the UK. Based on
the pie chart, majority of individuals in the UK, about 61%, have high and medium anxiety
levels with the majority, 38%, having high anxiety levels.
Conclusion
The results show that the majority of individuals in the UK have high levels of personal wellbeing. The happiness level, life satisfaction, and worthwhileness averages are all greater than 7
and majority of individuals, over 75%, have high or very high levels of happiness level, life
satisfaction, and worthwhileness. Anxiety levels are also low, with the average anxiety level
being low with an average of 3. However, current anxiety levels are worrying. The results show
that currently, about 61% of individuals in the UK have high and medium anxiety levels with the
majority, 38% having high anxiety levels. The current trend in anxiety levels is worrying and
may negatively impact on the well-being of individuals in the UK. The trend is that happiness
level, life satisfaction, and worthwhileness have all been on a gradual rise since 2012 showing an
improvement in personal well being of individuals in the UK since 2012. Anxiety levels have
been on a constant with current levels showing a worrying trend. More social policies should
look at how anxiety levels can be lowered. Of note is that individuals from North Ireland have
better personal well being than other individuals in the UK. Other countries should emulate
social policies in North Ireland so as to improve the personal well being of individuals in other
countries in the UK.

References
Annual personal well-being estimates - Office for National Statistics. Ons.gov.uk. (2020).
Retrieved 18 February 2021, from
https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/headline
estimatesofpersonalwellbeing.
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a
diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
Render, B., Stair, R., & Hanna, M. (2013). Quantitative Analysis for Management. Pearson
Education UK.

APPENDIX
Life Satisfaction in the UK, year ending March 2012 to year ending March 2020
Mean
Low Medium
Average
0-4
5-6
April 2011 - March 2012
7.42
6.51
17.44
April 2012 - March 2013
7.46
5.71
17.10
April 2013 - March 2014
7.51
5.54
15.92
April 2014 - March 2015
7.61
4.74
14.81
April 2015 - March 2016
7.65
4.56
14.23
April 2016 - March 2017
7.68
4.53
13.76
April 2017 - March 2018
7.69
4.45
13.46
April 2018 - March 2019
7.71
4.37
13.26
April 2019 - March 2020
7.66
4.69
13.83
Source: Annual Population Survey, Office for National Statistics

Return to Contents
High Very High
7-8
9 - 10
49.83
26.22
51.15
26.03
51.62
26.92
51.70
28.75
52.05
29.16
51.74
29.97
52.05
30.04
51.64
30.74
51.59
29.89

Table1: Life satisfaction in the UK
Source: ("Annual personal well-being estimates - Office for National Statistics", 2020)

Life Satisfaction for countries in the UK, year ending March 2012 to year ending March 2020

England

Wales

Scotland

Mean
Mean
Mean
Average Average Average
April 2011 - March 2012
7.41
7.40
7.51
April 2012 - March 2013
7.44
7.44
7.53
April 2013 - March 2014
7.50
7.52
7.58
April 2014 - March 2015
7.60
7.56
7.66
April 2015 - March 2016
7.64
7.63
7.68
April 2016 - March 2017
7.67
7.65
7.68
April 2017 - March 2018
7.68
7.69
7.71
April 2018 - March 2019
7.71
7.68
7.69
April 2019 - March 2020
7.66
7.66
7.68
Source: Annual Population Survey, Office for National Statistics

Northern
Ireland
Mean
Average
7.53
7.70
7.73
7.89
7.85
7.88
7.92
7.89
7.86

England
Low
0-4
6.53
5.74
5.58
4.74
4.55
4.51
4.42
4.29
4.68

Medium
5-6
17.59
17.29
16.06
14.93
14.29
13.85
13.60
13.41
13.92

High
7-8
50.01
51.35
51.88
51.92
52.38
51.88
52.28
51.74
51.71

Table2: Life satisfaction for countries in the UK
Source: ("Annual personal well-being estimates - Office for National Statistics", 2020)

Very High
9 - 10
25.87
25.62
26.48
28.41
28.77
29.77
29.70
30.56
29.69

Worthwhile in the UK, year ending March 2012 to year ending March 2020
Mean
Low Medium
Average
0-4
5-6
April 2011 - March 2012
7.67
4.77
15.04
April 2012 - March 2013
7.70
4.34
14.81
April 2013 - March 2014
7.74
4.20
13.93
April 2014 - March 2015
7.82
3.78
12.84
April 2015 - March 2016
7.84
3.62
12.80
April 2016 - March 2017
7.86
3.67
12.30
April 2017 - March 2018
7.88
3.64
12.06
April 2018 - March 2019
7.89
3.66
12.01
April 2019 - March 2020
7.86
3.83
12.04
Source: Annual Population Survey, Office for National Statistics

Return to Contents
High Very High
7-8
9 - 10
48.73
31.47
49.46
31.39
49.18
32.69
49.02
34.35
49.21
34.37
48.90
35.13
48.48
35.83
48.27
36.07
48.44
35.69

Table3: Worthwhile in the UK
Source: ("Annual personal well-being estimates - Office for National Statistics", 2020)

Worthwhile for countries in the UK, year ending March 2012 to year ending March 2020

England

Wales

Scotland

Mean
Mean
Mean
Average Average Average
April 2011 - March 2012
7.66
7.71
7.68
April 2012 - March 2013
7.69
7.70
7.70
April 2013 - March 2014
7.74
7.76
7.74
April 2014 - March 2015
7.82
7.78
7.84
April 2015 - March 2016
7.83
7.83
7.82
April 2016 - March 2017
7.86
7.83
7.81
April 2017 - March 2018
7.88
7.88
7.88
April 2018 - March 2019
7.88
7.88
7.86
April 2019 - March 2020
7.86
7.86
7.86
Source: Annual Population Survey, Office for National Statistics

Northern
Ireland
Mean
Average
7.76
7.86
7.98
8.10
8.00
8.08
8.08
8.07
8.05

England
Low
0-4
4.76
4.30
4.20
3.78
3.55
3.64
3.58
3.61
3.81

Medium
5-6
15.14
14.97
14.10
12.93
12.91
12.35
12.18
12.11
12.14

High
7-8
48.88
49.54
49.30
49.13
49.31
48.84
48.66
48.30
48.52

Table4: Worthwhile for countries in the UK
Source: ("Ann...


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