A History of the Ministry of Information, 1939-46

1 2 4 5 6

Section 1 .
The Sample

The enquiry was planned on a basis of 2,000 interview, but 2,294 interviews were obtained owing to the excellent co-operation of industry and business.

The distribution of the sample was made in order to represent the larger industrial groups and the principal regions in which these industries are found.

Interviews were arranged in both old established and newly established industrial areas. In the latter interviews were made with children who were living away from home, either in lodgings or in a hostel. The results of the Survey, however, showed that there were not enough children to warrant treating them as a separate group.

The following is the distribution of the interviews as planned. (Table 1)

Table 1

Distribution of Interviews

Industry Old Established Area Newly developed Area Sex Number
Clerical - Blackpool Female 100
London Female 100
Glasgow Female 100
300
Distributive London Female 100
Manchester Female 100
Glasgow Female 100
300
Textiles Preston Female 100
Huddersfield Female 100
Leicester Female 100
300
Repetition
Engineering
Birmingham Male & female 75
Acton, Ealing
Luton, Letchworth
Male & female 300
Coventry Male & female 100
Co. Durham Male & female 50
Blackpool Male & female 75
600
Heavy
Engineering
Middlesbrough Male 100
Newcastle Male 100
Glasgow Male 100
300
Mining Blyth Ashington,
Northumberland
Male 100
Stanley and Consett
Co. Durham
Male 100
200
Total 2,000

More interviews than the planned number were obtained in Engineering, Textiles and Clerical occupations and less in Mining and Distribution. Details are given in Table 2 and the distribution by sex and age are given in the Abstract Table 3.

Table 2

Number of Interviews

Breakdown by Industry, Sex and Age

Industry Age Male Total Male Female Total Female Totals
Engineering Light 14 94 31 125
15 122 55 177
16 141 53 194
17 103 56 159
18 53 33 86
Over 18 11 5 16
Total 524 233 757
Engineering Heavy 14 37 3 40
15 80 2 82
16 116 116
17 77 77
18 35 35
Over 18 1 1
Total 346 5 351
Textiles
Wool 14 6 34 40
15 10 44 54
16 9 31 40
17 3 34 37
18 10 10
Over 18
28 153 181
Cotton 14 10 10
15 27 27
16 29 29
17 30 30
18 14 14
Over 18
110 110
Hosiery 14 1 6 7
15 19 19
16 8 8
17 11 11
18 5 5
Over 18 - -
1 49 50 341
Mining Surface 14 2 2
15 2 2
16 6 6
17 14 14
18 11 11
Over 18
35 35
3 Mining Surface 14 39 39
15 39 39
16 27 27
17 26 26
18 14 14
Over 18
145 145 180
Clerical Industrial 14 5 7 12
15 9 5 14
16 3 7 10
17 6 8 14
18 2 2
Over 18
23 29 52
Business 14 6 25 31
15 7 62 69
16 16 81 97
17 10 63 73
18 2 44 46
Over 18
41 275 316 368
Distributive 14 43 43
15 2 60 62
16 3 66 69
17 2 55 57
18 36 36
Over 18
7 260 267
Miscellaneous Factory 14
15 3 3
16 1 1
17 1 1
18 2 2
Over 18
7 7
Totals 1,150 1,121 2,271
Table 3

Analysis by Sex and Age

Abstract from Table 2

Age Male Female Total
14 190 159 349
15 271 277 548
16 321 276 597
17 241 256 497
18 115 148 263
Over 18 12 5 17
1,150 2,271

Jobs

A further analysis of the interviews according to the type of work done has been made and the results are given below in Tables 4 and 5.

(Note: in these and subsequent tables small discrepancies occur in the totals of various analysis, these result from the failure of certain children to answer all the questions and in other case from faults in mechanical tabulation).

Table 4

Breakdown by Sex and Age

BOYS

14 15 16 17 18 Over 18 Total
No. % No. % No. % No. % No. % No. % No. %
Mines: Surface 37 19.5 39 14.4 27 8.5 25 10.4 13 11.3 - - 141 12.3
Mines: Underground 4 2.1 2 0.7 6 1.9 15 6.2 12 10.4 - - 39 3.4
Engineering: Woodwork (Pattern making) - - 4 1.5 5 1.6 3 1.2 1 0.9 - - 13 1.1
Engineering: Foundry 13 6.8 20 7.4 20 6.2 10 4.2 4 3.5 - - 67 5.8
Engineering: Machine operations 76 40.0 137 50.6 202 63.0 151 62.7 72 62.7 9 647 56.3
Engineering: Assembly 8 4.2 8 2.9 15 4.6 2 0.8 9 7.8 2 44 3.8
Engineering: Odd Jobs (e.g. store, packing, loading) 30 15.8 27 10.0 15 4.6 11 4.6 2 1.7 1 86 7.5
Textiles: All jobs (except clerical) 7 3.7 10 3.7 9 2.8 3 1.2 - - - 29 2.5
Distributive: all jobs (expert clerical - - 2 0.7 3 0.9 2 0.8 - - - 7 0.6
Clerical: all jobs 11 5.8 19 7.0 18 5.6 18 7.5 2 1.7 - 68 5.9
Other Factory jobs 4 2.1 3 1.1 0.3 1 0.4 - - - 9 0.8
TOTAL 190 100 271 100 321 100 241 100 115 100 12 1,150 100
Table 5

Breakdown by Sex and Age

GIRIS

14 15 16 17 18 Over 18 Total
No. % No. % No. % No. % No. % No. % No. %
Mines: Surface 2 1.3 - - - - - - - - - - 2 0.2
Mines: Underground - - - - - - - - - - - - - -
Engineering: Woodwork (Pattern making) - - - - - - 1 0.4 - - - - 1 0.1
Engineering: Foundry - - - - 1 0.4 1 0.4 - - - - 2 0.2
Engineering: Machine Operations 19 12.2 33 12.0 34 12.3 39 15.1 28 18.9 2 155 13.8
Engineering: Assembly 11 7.1 20 7.3 11 4.0 14 5.4 7 4.7 2 65 5.8
Engineering: Odd jobs (e.g. store, packing, loading) 1 0.6 2 0.7 8 2.9 6 2.3 - - 1 18 1.6
Textiles: all jobs (except clerical) 49 31.4 90 32.7 68 24.6 75 28.9 29 19.6 - 311 27.8
Distributive: all jobs (except clerical) 45 31.4 90 32.7 68 24.6 75 28.9 29 19.6 - 311 27.8
Distributive: all jobs (except clerical) 45 28.8 60 21.8 66 23.9 46 17.8 35 23.7 - 252 22.5
Clerical: All jobs 29 18.6 66 24.0 86 31.2 75 28.9 47 31.8 - 303 27.1
Other Factory Jobs - - 4 1.5 2 0.7 2 0.8 2 1.3 - 10 0.9
TOTAL 156 100 275 100 276 100 259 100 148 100 5 1,119 100

Children Living in Lodgings, Hostels and at Home

Question 1, “Do you live at home, in digs, or in a hostel”? and Question 2, “Is this your home town”? were asked in order to provide a basis for a comparison of the feeding habits of children within their family and outside it.

Although several of the districts in which interviews were conducted were chosen especially because they were places which have had a considerable influx of labour since the war the proportion of children in the sample living away from home was only 4%. This group was too small to justify separate treatment.

The reasons for this are, it is believed, the lack of mobility of very young workers, and the fact that our sample came mainly from small firms (The Ministry of Labour has ordered canteens to be provided in firms with over 200 employees) which do not organise large scale movements of juveniles or provide or arrange accommodation (Table 6).

Table 6

Question 1“Do you live at home, in digs, or in hostel”?

Breakdown by Sex

At Home In Digs In a Hostel Total
Boys 1,101 95.3 51 4.4 3 0.3 1.155
Girls 1,092 96.6 36 3.2 2 0.2 1,130
Total 2,193 96.0 87 3.8 5 0.2 2,285

An analysis by industry showed that of the 92 juveniles living away from home, 63 of them were engaged in Light Engineering, this number being over 8% of the total.

The answers to Question 2 show that over 10% of the sample were living away from their home towns (Table 7). This proportion is larger than that of children living away from home because in many cases the family had moved from the original home town.

Table 7

Question 2 - “Is this your home town”?

Breakdown by Sex

Yes No Total
Boys 1,025 88.8 129 11.2 1,154
Girls 1,018 90.3 109 9.7 1,127
Total 2,043 99.6 238 10.4 2,281

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