Brief Description
This unit introduces pupils to statistical tables, explaining
how to compose, read and clarify them. Data considered deal with
domestic fires, leisure activities, road accidents and employment.
Design time: 4 hours
Aims and Objectives
The aim of this unit is to help pupils understand and read
information which is laid out in tabular form, and learn how to
simplify data to bring out significant patterns.
On completion of this unit pupils should be able to construct
their own single variable frequency tables, two-way
classification tables and to read individual figures from
published tables. They will have practised drawing simple
inferences from both types of table. They will also have
practised making tables simpler to read, completing tables from
bar charts, sorting out simple data and drawing bar charts. They
should be mom aware of sources of data, correct practice in
titling and annotating data and the conflict between readability
and loss of information.
Prerequisites
Adding of up to six digits, rounding to the nearest ten,
hundred or thousand and expressing one number as a fraction of
another. Pupils should have had previous experience in drawing up
simple bar charts.
Equipment and Planning
Calculators would be useful to aid addition, but they are not
essential.
Data from the class, needed in A2 and A6,
can be obtained by a show of hands. Since complex issues are
raised, especially in Section C, some class discussion
is desirable. The arrangement of the unit is that Section A
deals with the construction of tables, Section 8 looks at
annotations and titling and Section C deals with some
methods of simplifying and interpreting tabulated data.
The following reference may be of value for Section C3:
Data Reduction by A.S.C. Ehrenburg (Wiley, 1975),
Chapter 1.
Detailed Notes
Copies of all tables are included in the R pages for easy
reference. The journal Social Trends is a useful source
for further data.
Many of the tables have been adapted (e.g. by changing
percentages to frequencies) from the source to make them easier
to work with.
Section A
A1
Table 1 is given in the text to provide a useful
discussion point to start the unit. It is also reproduced as
Table 8 on page R1 for ease of reference later. The questions
remind pupils that not all tables are statistical, but all convey
information.
A2
The unit deals only with discrete data, not with the
compilation of class intervals. All data come initially in an
unsorted form and have to be sorted before they are of much use.
If e is done, it will be necessary to collate
the selections from the pupils. This can conveniently be done
using the bhckboard. It is important to make sure that pupils do
not use too many categories of sweets. One way of doing this is
to nominate a few general categories from which they must choose.
Remind them to include the total frequency in their table. An
alternative survey would be favourite drinks.
A3
This takes the sorting one stage further, to bar charts,
and indicates how some questions then become easier to answer.
A4
In this section we proceed the other way round. Data
given in the form of a bar chart are written in tabular form. It
is not practical to collect class data here as then it would be
necessary to draw the table first. This secbon includes the first
introduction to reading tables.
*A5
An optional exercise for reinforcement provides a check
on the basic work before continuing to two-way tables.
A6
This again starts with given data so that pupils
practise reading the table. Then they can collect their own data
and draw up the table for them. This collection of class data
needs organizing.
A suggestion for single-sex classes is instead of using Boys
and Girls to use Oldest in the family and Not
oldest in the family. Single children count as Oldest.
Pupils should notice that the sum of the row totals should
equal the sum of the column totals. This is the number of pupils
in the class.
A7
This returns to Table 1 (reproduced as Table 8 on page
Rl) and is an exercise in reading a harder table. Questions f
and g start to draw simple comparisons and lead
towards inference, e.g. Where should the fire brigade concentrate
its fire prevention advertising?
With pupils of lower ability, further reinforcement may be
necessary at this stage. This can be done either by using
collected data (e.g. a vehicle survey), or using further tables
from sources such as Social Trends.
Section B
This section brings out the importance of four things: a clear
title, the data, use of footnotes and quoting the source. B1-4
take each of these in turn, using Table 1 as the main example.
Bl
Titles often show the incompatible demands of accuracy
of description and brevity for ease of reading. They should
indicate clearly what the data are about.
B2
Since many data, particularly sociological and economic
data, change rapidly, it is important to indicate the date to
which they apply.
B3
The source should be given in sufficient detail to allow
others to trace it and find out further details of meaning,
background, method of collection, and so on.
B4
Footnotes are often used to help clear up problems of
definition and nomenclature, explain changes in method of
collection and give further details that cannot be included in a
row or column heading.
B5
An exercise on leisure activities using Table 9 on page
R2 to bring together the work of 81 to 84. (Note the distinction
between United Kingdom and Great Britain; the
former includes Northern Ireland.) Question g
shows that tables should be consistent and can often be checked
in this way.
B6
A rather harder exercise on accidents uses the two-way
Table 10 on page R2. In the discussion on questions d
and e comparisons can be made for Fatal and
Serious or for Slight injuries. Comparisons may
also be made in relative terms (using proportions) or in absolute
terms (using differences). The age range 5-9 shows the greatest
sex differences.
The difference between numbers of slight injuries to 15 and 16
year old boys and girls are too small to be significant. It
appears that carefulness on the road by boys and girls at these
ages is about the same. The large differences at the younger age,
with young boys being far more prone to accident than young girls,
may reflect different games played, attitudes to life, and so on.
It may be desirable with some groups to omit one or other of
these last two sections.
Section C
This section is concerned with reading difficult tables and
making them easier to read. Two techniques of simplifying the
tables are introduced;
- Reduce the number of digits printed in the table.
Although this means that accuracy is lost, it makes the
individual items much easier to identify, and in many
cases this accuracy may be sufficient to give a general
impression.
- Put the columns in decreasing order of total, or average,
from the left. It is then easier to pick out anomalies
and simple relationships. A more able group could perhaps
go on to convert actual figures to percentages, as is
often done to make a table clearer.
Before attempting this section pupils must be able to round
figures to the nearest ten, hundred or thousand.
C1
Table 9 on page R2 is rewritten as Table 11 with figures
rounded to the nearest hundred. If pupils find this task
difficult, it may be preferable to begin with a class discussion.
The pupils' text does contain an instruction to ask for help if
necessary. It also tells pupils to show the teacher their table
for checking. This may be more easily done by a self-checking
system. It should be obvious that the general picture is made
clearer but accuracy has been lost.
C2
This is a parallel exercise to C1 and can be
used as reinforcement. In both C1 and C2
rounding may result in the columns not adding to the rounded
total.
C3
This is definitely a harder section. Class discussion on the
value of changing the order of columns is probably useful,
otherwise the way it shows up exceptions to the pattern may not
be seen. A new table is introduced because it shows more clearly
the advantages of the method than the other tables in the unit.
Tables 8 and 9 can also be re-ordered in this way (numbers to the
nearest hundred) and yield some interesting information. Table 10
shows no exceptions to the general pattern when rewritten in this
way, and it is the exceptions that are interesting.
Answers
A1 |
a |
Bus or train timetable |
|
b |
Multiplication table or ready reckoner |
|
c |
Lesson timetable |
|
|
|
A2 |
a |
5 |
|
b |
Guitar |
|
c |
Guitar 4; drums 1; accordion 1; tin
whistle 2 |
|
d |
4/11 |
|
|
|
A3 |
a |
6p |
|
b |
12p |
|
c |
The bar chart is the most obvious way.
However, in a distribution of this kind, the table is
easy to read. |
|
|
|
A4 |
a |
4 |
|
b |
Brown 9, blond 3, red 1, black 2 |
|
d |
10 |
|
e |
9 |
|
f |
9/10 |
|
|
|
A5 |
b |
5 + 10 + 15 + 25 + 30 + 20 + 15 + 10 =
130 |
|
c |
4 |
|
d |
15, 30 |
|
|
|
A6 |
a |
8 |
|
b |
4 |
|
c |
14 |
|
d |
10 |
|
e |
28 |
|
f |
8/18 or 4/9 |
|
g |
6/10 or 3/5 |
|
h |
Girls - a larger proportion owned
bicycles |
|
|
|
A7 |
a |
50900 |
|
b |
7848 |
|
c |
3300 |
|
d |
1547 |
|
e |
255 |
|
f |
kitchen |
|
g |
Cooking |
|
|
|
B |
a |
Table 1 conforms to the rules. |
|
b |
Table 2 does not have a title, date or
source. Table 3 does not have a title, date or source. |
|
|
|
B1 |
a |
Domestic fires in the United Kingdom, by
cause and room of origin. |
|
c |
United Kingdom (England, Wales, Scotland,
Northern Ireland) |
|
d |
In homes |
|
|
|
B2 |
a |
1976 |
|
b |
1 year, 1st January to 31st December,
1976 |
|
c |
The data are meaningless without a date
as the incidence of fires varies considerably from year
to year. |
|
|
|
B3 |
a |
Social Trends |
|
b |
See detailed notes. |
|
|
|
B4 |
a |
Bed-sitting rooms have been counted as
bedrooms. |
|
b |
Hall |
|
c |
'Elsewhere or not known' |
|
|
|
B5 |
a |
'Frequency of selected leisure
activities reported by 16 year olds, 1974' |
|
c |
1974 |
|
d |
Social Trends |
|
e |
11070 |
|
f |
England, Scotland, Wales (Great Britain) |
|
g |
Because 11 070 pupils replied to each
category of activities |
|
|
|
B6 |
a |
0-16 years |
|
b |
Between 1st Jan. 1975 and 31st Dec. 1975 |
|
c |
Age 15 - slight; age 16 - slight |
|
d |
Age 5 to 9. See detailed notes. |
|
e |
See detailed notes. |
|
|
|
C1 |
a |
Table 11 becomes: (numbers in hundreds)
|
Often |
Sometimes |
Never or
hardly ever |
Like to, but
no chance |
Reading |
30 |
51 |
27 |
3 |
Outdoor games |
42 |
39 |
27 |
3 |
Swimming |
23 |
49 |
30 |
9 |
Indoor games |
28 |
36 |
36 |
11 |
TV |
72 |
32 |
6 |
1 |
Parties |
21 |
53 |
29 |
8 |
Dances |
44 |
34 |
27 |
6 |
Voluntary work |
8 |
33 |
52 |
18 |
|
|
c |
The numbers are easier to find and
simpler to read. |
|
d |
There is a loss of accuracy. Answer may
be given as, e.g. 30 instead of 30 hundred. |
|
e |
49 hundred |
|
f |
52 hundred |
|
g |
28 hundred |
|
|
|
C2 |
a |
Table 10 becomes: (numbers in hundreds)
|
|
Age |
0-4 |
5-9 |
10-14 |
15 |
16 |
Males |
Fatal and Serious |
10 |
27 |
15 |
2 |
2 |
Slight |
24 |
68 |
41 |
4 |
5 |
Females |
Fatal and Serious |
6 |
13 |
11 |
1 |
2 |
Slight |
15 |
39 |
34 |
5 |
5 |
|
|
|
|
C3 |
a |
Table 13 becomes: (numbers in thousands)
|
SE |
GL |
EA |
SW |
WM |
EM |
Y+H |
NW |
N |
W |
SC |
NI |
Males |
|
0-2 |
12 |
12 |
3 |
6 |
7 |
5 |
7 |
10 |
6 |
4 |
10 |
- |
2-4 |
10 |
10 |
2 |
5 |
6 |
4 |
6 |
9 |
5 |
4 |
9 |
- |
4-8 |
14 |
13 |
3 |
8 |
8 |
6 |
8 |
13 |
6 |
5 |
15 |
- |
8+ |
94 |
92 |
21 |
64 |
72 |
43 |
65 |
117 |
61 |
47 |
94 |
- |
Total |
130 |
127 |
29 |
83 |
92 |
57 |
85 |
149 |
77 |
59 |
127 |
39 |
Females |
|
0-2 |
5 |
4 |
1 |
2 |
3 |
2 |
3 |
4 |
2 |
2 |
5 |
- |
2-4 |
4 |
3 |
1 |
2 |
3 |
1 |
2 |
4 |
2 |
2 |
4 |
- |
4-8 |
6 |
5 |
1 |
3 |
4 |
2 |
3 |
6 |
3 |
3 |
7 |
- |
8+ |
28 |
23 |
6 |
20 |
25 |
13 |
20 |
37 |
21 |
16 |
37 |
- |
Total |
43 |
35 |
8 |
28 |
34 |
19 |
28 |
50 |
29 |
22 |
53 |
17 |
|
|
b |
Table 14 becomes: (numbers in thousands)
|
NW |
SC |
SE |
GL |
WM |
Y+H |
SW |
N |
W |
EM |
NI |
EA |
Male |
|
0-2 |
10 |
10 |
12 |
12 |
7 |
7 |
6 |
6 |
4 |
5 |
- |
3 |
2-4 |
9 |
9 |
10 |
10 |
6 |
6 |
5 |
5 |
4 |
4 |
- |
2 |
4-8 |
13 |
15 |
14 |
13 |
8 |
8 |
8 |
6 |
5 |
6 |
- |
3 |
8+ |
117 |
94 |
94 |
92 |
72 |
65 |
64 |
64 |
47 |
43 |
- |
21 |
Total |
149 |
127 |
130 |
127 |
92 |
85 |
83 |
77 |
59 |
57 |
39 |
29 |
Female |
|
0-2 |
4 |
5 |
5 |
4 |
3 |
3 |
2 |
2 |
2 |
2 |
- |
1 |
2-4 |
4 |
4 |
4 |
3 |
3 |
2 |
2 |
2 |
2 |
1 |
- |
1 |
4-8 |
6 |
7 |
6 |
5 |
4 |
3 |
3 |
3 |
3 |
2 |
- |
1 |
8+ |
37 |
37 |
28 |
23 |
25 |
20 |
20 |
21 |
16 |
13 |
- |
6 |
Total |
50 |
53 |
43 |
35 |
34 |
28 |
28 |
29 |
22 |
19 |
17 |
8 |
|
Test Questions
- Name a kind of TABLE which has numbers in it. Give an
example of DATA you could find in a table.
- On July 4, 1977, 25 pupils from Class lu in the Mandonham
Comprehensive School took a swimming test. The numbers of
widths swum without touching down were:
5, 4, 1, 0, 5, 6, 4, 7, 3, 4, 3, 2, 5, 5, 4, I, 0, 3, 4,
6, 8, 4, 3, 5, 9
- Show the data in a frequency table.
- One of the pieces of information below
can only be read from the data list above. Which
is it? (All the others are easier to read from
the table.)
- The number of pupils who swam five widths
- The number of widths swum by the sixth
pupil
- The number of widths with the highest
frequency
- The highest frequency
- In question 2, the first 10 figures were the girls'
results. Complete this two-way table:
|
Number of
widths |
Less than 4 |
4 or more |
Girls |
|
|
Boys |
|
|
Total |
|
|
- Every statistical table should have a TITLE
Write down a title for the table in Question 3.
Name two other things a statistical table should
have.
Write down one of these for the table in Question 3.
-
- The table below mentions 2486 casualties
altogether. Over what period of time did these
happen?
- How many more people were slightly injured than
seriously injured?
- On which classes of road were the largest number
of people killed?
- On which class of road was the smallest number
killed?
- On motorways there were fewer slight injuries
than there were serious injuries. For which other
type of road is this true? Give a possible reason.
Class of road |
Fatal (killed) |
Serious injuries |
Slight injuries |
Total (all
casualties) |
Motorway |
4 |
88 |
78 |
170 |
Trunk roads |
25 |
290 |
321 |
636 |
A roads |
25 |
311 |
296 |
632 |
B roads |
1 |
85 |
86 |
172 |
C roads |
12 |
242 |
252 |
506 |
Unclassified roads |
6 |
173 |
191 |
370 |
Total (all roads) |
73 |
1189 |
1224 |
2486 |
Casualties in road
accidents. Northamptonshire, 1974
(Source: Northamptonshire Transport Policies and
Progremme, 1976-1977)
-
- Re-write the table from Question 5, adding
together fatal and serious injuries and writing
the answer in one column.
- Simplify the table in one other way. (Hint:
either think about the numbers or the order of
the columns.) Give one advantage and one
disadvantage of your table.
Answers
1 |
|
Any suitable examples of tables and data are
acceptable. |
|
|
|
2 |
a |
Number of widths |
Pupils |
0 |
2 |
1 |
2 |
2 |
1 |
3 |
4 |
4 |
6 |
5 |
5 |
6 |
2 |
7 |
1 |
8 |
1 |
9 |
1 |
|
25 |
|
|
b |
ii |
|
|
|
3 |
|
|
Under 4 |
4 and over |
Total |
Girls |
3 |
7 |
10 |
Boys |
6 |
9 |
15 |
Totals |
9 |
16 |
25 |
|
|
|
|
4 |
|
Any appropriate title A statistical table should also
have:
A date and a source (for secondary data)
For the table in Question 3 the date is July 4, 1977. |
|
|
|
5 |
a |
One year - January 1 to December 31 1974 |
|
b |
35 (1224-1189) |
|
c |
Trunk roads and A roads |
|
d |
B roads |
|
e |
Because traffic is faster moving so any injury is
more likely to be severe. |
|
|
|
6 |
a |
Class of road |
Fatal and serious |
Slight |
All accidents |
M |
92 |
78 |
170 |
T |
315 |
321 |
636 |
A |
336 |
296 |
632 |
B |
86 |
86 |
172 |
C |
254 |
252 |
506 |
U |
179 |
191 |
370 |
All roads |
1262 |
1224 |
2486 |
|
|
b |
Either alter the row order to T A C U B M or round
numbers to nearest hundred (or nearest ten).
Advantage: Table is easier to read (or equivalent)
Disadvantage: Loss of information, or deaths too few to
show, or loss of distinction between numbers of serious
and slight |
|
|
|
Connections with Other Published Units from the Project
Other Units at the Same Level (Level 1)
Shaking a Six
Being Fair to Ernie
Probability Games
Practice makes Perfect
Leisure for Pleasure.
Wheels and Meals
If at first...
Units at Other Levels In the Same or Allied Areas of the Curriculum
Level 3
Car Careers
Level 4
Figuring the Future
Sampling the Census
Smoking and Health
Equal Pay
This unit is particularly relevant to: Mathematics, Social
Sciences
Interconnections between Concepts and Techniques Ueed In these Units
These are detailed in the following table. The code number in
the left- hand column refers to the items spelled out in more
detail in Chapter 5 of Teaching Statistics 11-16.
An item mentioned under Statistical Prerequisites
needs to be covered before this unit is taught. Units which
introduce this idea or technique are listed alongside.
An item mentioned under Idea or Technique Used is not
specifically introduced or necessarily pointed out as such in the
unit. There may be one or more specific examples of a more
general concept. No previous experience is necessary with these
items before teaching the unit, but more practice can be obtained
before or afterwards by using the other units listed in the two
columns alongside.
An item mentioned under Idea or Technique Introduced
occurs specifically in the unit and, if a technique, there will
be specific detailed instruction for carrying it out. Further
practice and reinforcement can be carried out by using the other
units listed alongside.
Code No. |
Statistical
Prerequisites |
Introduced
in |
2.2a |
Bar charts for discrete data |
Shaking a Six
Leisure for Pleasure |
|
Idea or Technique Used |
Introduced in |
Also Used in |
1.2a |
Using discrete data |
|
Shaking a Six
Wheels and Meals
If at first ...
Car Careers
Sampling the Census
Being Fair to Ernie
Probability Games
Leisure for Pleasure
Figuring the Future
Equal Pay |
1.2c |
Problems of data classification |
Opinion Matters
Car Careers |
Leisure for Pleasure
Equal Pay
Sampling the Census |
1.2e |
Using discrete bivariate data |
|
Wheels and Meals
Sampling the Census
Practice makes Perfect
Smoking and Health |
|
Idea or Technique
Introduced |
Also Used
in |
1.4b |
Using someone else's counted or measured
data |
Shaking a Six
Figuring the Future
Equal Pay
Leisure for Pleasure
Sampling the Census
Car Careers
Smoking and Health |
1.4e |
Finding appropriate data |
Car Careers
Equal Pay
Sampling the Census
Smoking and Health |
2.1a |
Constructing single variable frequency
tables |
Being Fair to Ernie
Practice makes Perfect
Car Careers
Wheels and Meals
If at first ...
Figuring the Future
Probability Games
Leisure for Pleasure
Sampling the Census |
2.2b |
Constructing two-way classification
tables |
Wheels and Meals |
2.2e |
Making tables simpler to read |
|
5a |
Reading tables |
Shaking a Six
Probability Games
Car Careers
Being Fair to Ernie
If at first ...Figuring the Future
Wheels and Meals
Leisure for Pleasure
Equal Pay |
5b |
Reading bar charts, histograms, pie
charts |
Being Fair to Ernie
Car Careers
Wheels and Meals
Smoking and Health
Leisure for Pleasure |
5h |
Reading bivariate data |
Wheels and Meals
Smoking and Health
Practice makes Perfect
Sampling the Census |
5v |
Inference from tables |
Shaking a Six
Leisure for Pleasure
Sampling the Census
Wheels and Meals
Car Careers
Smoking and Health
Practice makes Perfect
Figuring the Future
Equal Pay |
Page R1
Type of sweet |
Frequency |
|
|
|
|
|
|
Total
|
|
Table 5 - Favourite sweets in out class
Colour |
Frequency |
Brown |
|
|
|
|
|
Total
|
|
Table 6 - Colour of hair of 10 pupils
Number of peas |
Frequency |
0 |
|
1 |
|
2 |
|
3 |
|
4 |
|
5 |
|
6 |
|
7 |
|
Total
|
|
Table 7 - Number of peas in a pod
Cause |
|
Total4
number |
Kitchen |
Bedroom1 |
Living room |
Hall2 |
Roof space |
Elsewhere3 or not known |
Cooking |
17226 |
174 |
- |
- |
- |
- |
17000 |
Space heating |
504 |
1400 |
2352 |
168 |
- |
1176 |
6000 |
Smoking materials |
342 |
1482 |
1216 |
76 |
- |
684 |
4000 |
Children |
132 |
990 |
330 |
165 |
33 |
1650 |
3000 |
Wiring installations |
403 |
403 |
310 |
527 |
155 |
1302 |
3000 |
Chimneys |
153 |
272 |
289 |
17 |
255 |
714 |
2000 |
TV and radio |
17 |
51 |
1547 |
- |
- |
85 |
2000 |
Other |
2840 |
3124 |
1704 |
710 |
426 |
5396 |
14000 |
Total all causes |
21617 |
7896 |
7748 |
1663 |
869 |
11007 |
51000 |
1 Includes bed-sitting
rooms
2 Includes stairs and corridors
3 Includes fires which started
outside and spread to the building
4 Totals have been rounded to the
nearest thousand
Table 8 - Domestic fires in the United Kingdom: by cause and room
of origin, 1976
(Source: Social Trends, No. 8, 1977, page 197)
Page R2
Activity |
Often |
Sometimes |
Never or hardly ever |
Like to, but no chance |
Reading books (apart from school work/homework) |
2989 |
5092 |
2657 |
332 |
Playing outdoor games/sports |
4207 |
3874 |
2657 |
332 |
Swimming |
2325 |
4871 |
2989 |
885 |
Playing indoor games/sports |
2806 |
3572 |
3572 |
1120 |
Watching TV |
7195 |
3210 |
554 |
111 |
Going to parties |
2103 |
5314 |
2878 |
775 |
Dancing at discos, etc. |
4427 |
3432 |
2657 |
554 |
Voluntary work to help others |
775 |
3321 |
5203 |
1771 |
Total sample size = 11070 persons
Figures are for Great Britain
Table 9 - Frequency of selected leisure activities reported by 16
year olds, 1974
(Source: Social Trends, No. 8, 1977, page 184)
|
Age (years) |
0-4 |
5-9 |
10-14 |
15 |
16 |
Males |
Fatal and Serious |
999 |
2688 |
1485 |
187 |
173 |
Slight |
2420 |
6799 |
4128 |
433 |
457 |
|
Fatal and Serious |
584 |
1289 |
1136 |
139 |
164 |
Slight |
1506 |
3947 |
3441 |
481 |
458 |
Table 10 - Pedestrian casualties, 1975:
severity. sex and age
(Source: RoadAccidents, Great Britain, 1975 (HMSO). From Tables
26 and 27.)
Activity |
Often |
Sometimes |
Never or hardly ever |
Like to, but no
chance |
Reading books |
30 |
51 |
|
|
Playing outdoor games/sports |
42 |
|
|
|
Swimming |
23 |
|
|
9 |
Playing indoor games/sports |
28 |
|
|
|
Watching TV |
72 |
|
|
|
Going to parties |
21 |
|
|
|
Dancing at discos, etc. |
44 |
|
27 |
|
Voluntary work |
8 |
|
|
|
Table 11 - Frequency of selected leisure
activities reportedby 16 year olds, 1974 (Hundreds)
Page R3
|
South-east except GLC |
Greater London |
East Anglia |
South West |
West Midlands |
East Midlands |
Yorkshire and Humberside |
North West |
North |
Wales |
Scotland |
Northern Ireland |
Length of time on register |
|
|
|
|
|
|
|
|
|
|
|
|
Males |
|
|
|
|
|
|
|
|
|
|
|
|
up to 2 weeks |
12124 |
11845 |
2814 |
5799 |
6700 |
4498 |
6946 |
9657 |
5567 |
3858 |
9547 |
- |
over 2 and up to 4 weeks |
9786 |
10018 |
2320 |
5242 |
5877 |
3671 |
5768 |
9024 |
4744 |
3757 |
8644 |
- |
over 4 and up to 8 weeks |
14226 |
13465 |
3185 |
7875 |
7746 |
5541 |
7778 |
13318 |
6236 |
5210 |
14840 |
- |
over 8 weeks |
93938 |
91989 |
20785 |
64299 |
71836 |
43116 |
64997 |
116676 |
60657 |
46581 |
93518 |
- |
Total |
130074 |
127317 |
29104 |
83215 |
92159 |
56826 |
85489 |
148675 |
77204 |
59406 |
126549 |
39521 |
Females |
|
|
|
|
|
|
|
|
|
|
|
|
up to 2 weeks |
5091 |
4182 |
817 |
2305 |
2670 |
1593 |
2561 |
4080 |
2203 |
1709 |
4468 |
- |
over 2 and up to 4 weeks |
4207 |
3460 |
763 |
2200 |
2582 |
1417 |
2200 |
3903 |
1912 |
1730 |
4328 |
- |
over 4 and up to 8 weeks |
5797 |
4559 |
1068 |
3319 |
3801 |
2395 |
3415 |
5726 |
3117 |
2578 |
7494 |
- |
over 8 weeks |
27908 |
23123 |
5600 |
20153 |
24761 |
13415 |
19857 |
36641 |
21431 |
15868 |
36733 |
- |
Total |
43003 |
35324 |
8248 |
27977 |
33814 |
18820 |
28033 |
50350 |
28663 |
21885 |
53023 |
17139 |
Table 12 - Regional analysis of
unemployment: February 10, 1977
(Figures for Northern Ireland showing the length of time on the
register are available only quarterly in respect of March, June,
September and December.
(Source: Departement of Employment Gazette, March 1977, page 278)
Length of time on
register |
Region |
SE |
GL |
EA |
SW |
WM |
EM |
Y+H |
NW |
N |
W |
SC |
NI |
Males |
|
Up to 2 weeks |
12 |
12 |
3 |
6 |
7 |
5 |
7 |
10 |
6 |
4 |
10 |
- |
Over 2 and up to 4 weeks |
10 |
|
|
|
6 |
|
|
|
|
|
9 |
- |
Over 4 and up to 8 weeks |
14 |
|
|
|
8 |
|
|
|
|
|
15 |
- |
Over 8 weeks |
94 |
|
|
|
72 |
|
|
|
|
|
94 |
- |
Total |
130 |
127 |
29 |
83 |
92 |
57 |
85 |
149 |
77 |
59 |
127 |
39 |
Females |
|
Up to 2 weeks |
5 |
|
|
|
3 |
|
|
|
|
|
5 |
- |
Over 2 and up to 4 weeks |
4 |
|
|
|
3 |
|
|
|
|
|
4 |
- |
Over 4 and up to 8 weeks |
6 |
|
|
|
4 |
|
|
|
|
|
7 |
|
Over 8 weeks |
28 |
|
|
|
25 |
|
|
|
|
|
37 |
- |
Total |
43 |
35 |
8 |
28 |
34 |
19 |
28 |
50 |
29 |
22 |
53 |
17 |
Table 13 - Regional Analysis of
Unemployment: February 10, 1977 (Numbers in thousands)
(Source: Department of Employment Gazette, March 1977, page 278)
Length of time on
register |
Region |
NW |
SC |
SE |
GL |
WM |
Y+H |
SW |
N |
W |
EM |
NI |
EA |
Males |
|
Up to 2 weeks |
10 |
10 |
12 |
12 |
7 |
7 |
6 |
6 |
4 |
5 |
- |
3 |
Over 2 and up to 4 weeks |
9 |
9 |
10 |
|
|
|
|
|
|
|
|
|
Over 4 and up to 8 weeks |
13 |
15 |
14 |
|
|
|
|
|
|
|
|
|
Over 8 weeks |
117 |
94 |
94 |
|
|
|
|
|
|
|
|
|
Total |
149 |
127 |
130 |
127 |
92 |
85 |
83 |
77 |
59 |
57 |
39 |
29 |
Females |
|
Up to 2 weeks |
4 |
5 |
5 |
|
|
|
|
|
|
|
|
|
Over 2 and up to 4 weeks |
4 |
4 |
4 |
|
|
|
|
|
|
|
|
|
Over 4 and up to 8 weeks |
6 |
7 |
6 |
|
|
|
|
|
|
|
|
|
Over 8 weeks |
37 |
37 |
28 |
|
|
|
|
|
|
|
|
|
Total |
50 |
53 |
43 |
35 |
34 |
28 |
28 |
29 |
22 |
19 |
17 |
8 |
Table 14 As Table 13 but with the columns reordered (Numbers
in thousands)
(Source: Department ofEmployment Gazette, March 1977, page 278)
|