The data, however, exist while
seeking well (oh!
yes!). Let us start with those provided by the censuses. If the
revisions
operated by Louis Henry in 1948 do not announce anything in particular
for the
censuses of 1901 and 1911 (allowed opinion by Damiani, but the appendix
on
demography already showed that dissenting evaluations exist), everyone
agrees
to consider that of 1921 starts to diverge from with reality, in
particular
because of double countings. Let us look at however one moment this
table: Corsica
loses 2,4% of his population between the two censuses which frame the
first world
war, while passing from 288820 inhabitants with 281959 is a lack of
6861
inhabitants. If the various rectifying evaluations are retained, the
following
results are obtained:
That is to say a relatively modest
row (of the
73è row for the evaluation of least low deficit to the
46è row for the most
marked deficit). In the table of the census, where only, apart from
Corsica,
the departments of Charente, of the Low Alps and the Pyrenees
Orientales have
subjects to deposit results, one immediately locates the departments
strongly
touched by the conflict, those which, close to the front, saw their
population
fleeing towards the interior, in particular towards the Seine and the
Seine and
Oise, which explains their rate of loss of considerable population,
losses due
essentially to the migrations. After war, Corsica will know a movement
of emigration
which continues that of pre-war period, but the immediate post-war
period (1919-1920)
does not know as positive migratory movement only the return of the
soldiers
however two thirds choose not to return (754 on a sample of 1129 taken
in six
different classes of incorporation - to see Olivier Maestrati, COp
cit.). Also
the expatriation is a phenomenon which continues (+ 8399 expatriates).
On the
other hand, it is advisable to add the natural balance and to take into
account
the evolutions of migratory balance (foreigners and nationals). The
whole
brings back to us to an “unexplained” deficit of
7400 inhabitants on the basis
of real population.
|
1911 |
1921 |
Evolution |
Rank |
|
1911 |
1921 |
Evolution |
Rank |
||
Meuse |
277955 |
207309 |
-25,4% |
1 |
Vaucluse |
238656 |
219602 |
-8,0% |
46 |
||
Aisne |
530226 |
421515 |
-20,5% |
2 |
Côtes du Nord |
605523 |
557824 |
-7,9% |
47 |
||
Marne |
436310 |
366734 |
-15,9% |
3 |
Vienne |
332276 |
306248 |
-7,8% |
48 |
||
Alpes (Hautes) |
105083 |
89275 |
-15,0% |
4 |
Ain |
342482 |
315757 |
-7,8% |
49 |
||
Alpes (Basses) |
107231 |
91882 |
-14,3% |
5 |
Eure & Loir |
272255 |
251255 |
-7,7% |
50 |
||
Creuse |
266188 |
228344 |
-14,2% |
6 |
Savoie (Haute) |
255137 |
235668 |
-7,6% |
51 |
||
Lot |
205769 |
176889 |
-14,0% |
7 |
Marne (Haute) |
214765 |
198865 |
-7,4% |
52 |
||
Ariège |
198725 |
172851 |
-13,0% |
8 |
Loiret |
364061 |
337224 |
-7,4% |
53 |
||
Somme |
520161 |
452624 |
-13,0% |
9 |
Pas de Calais |
1068155 |
989967 |
-7,3% |
54 |
||
Ardennes |
318896 |
277811 |
-12,9% |
10 |
Loir & Cher |
271231 |
251528 |
-7,3% |
55 |
||
Tarn & Garonne |
182537 |
159559 |
-12,6% |
11 |
Charente
Inférieure |
450871 |
418310 |
-7,2% |
56 |
||
Gers |
221994 |
194406 |
-12,4% |
12 |
Sarthe |
419370 |
389235 |
-7,2% |
57 |
||
Mayenne |
297732 |
262447 |
-11,9% |
13 |
Pyrénées
(Basses) |
433318 |
402981 |
-7,0% |
58 |
||
Vosges |
433914 |
383684 |
-11,6% |
14 |
Belfort (territoire) |
101386 |
94338 |
-7,0% |
59 |
||
Corrèze |
309646 |
273808 |
-11,6% |
15 |
Puy de Dôme |
525916 |
490560 |
-6,7% |
60 |
||
Loire (Haute) |
303838 |
268910 |
-11,5% |
16 |
Maine & Loire |
508149 |
474786 |
-6,6% |
61 |
||
Saône (Haute) |
257606 |
228348 |
-11,4% |
17 |
Eure |
323651 |
303159 |
-6,3% |
62 |
||
Lozère |
122738 |
108822 |
-11,3% |
18 |
Finistère |
809771 |
762514 |
-5,8% |
63 |
||
Ardèche |
331801 |
294308 |
-11,3% |
19 |
Oise |
411028 |
387760 |
-5,7% |
64 |
||
Meurthe & Mos. |
564730 |
503810 |
-10,8% |
20 |
Morbihan |
578400 |
546047 |
-5,6% |
65 |
||
Cantal |
223361 |
199402 |
-10,7% |
21 |
Isère |
555911 |
525522 |
-5,5% |
66 |
||
Manche |
476119 |
425512 |
-10,6% |
22 |
Aube |
240755 |
227839 |
-5,4% |
67 |
||
Orne |
307433 |
274814 |
-10,6% |
23 |
Doubs |
299935 |
285022 |
-5,0% |
68 |
||
Lot & Garonne |
268083 |
239972 |
-10,5% |
24 |
Aude |
300537 |
287052 |
-4,5% |
69 |
||
Yonne |
303889 |
273118 |
-10,1% |
25 |
Gard |
413458 |
396169 |
-4,2% |
70 |
||
Aveyron |
369448 |
332940 |
-9,9% |
26 |
Indre & Loire |
341205 |
327743 |
-3,9% |
71 |
||
Pyrénées
(Htes) |
206105 |
185760 |
-9,9% |
27 |
Seine & Marne |
363561 |
349234 |
-3,9% |
72 |
||
Cher |
337810 |
304800 |
-9,8% |
28 |
Loire
Inférieure |
669920 |
649723 |
-3,0% |
73 |
||
Nièvre |
299312 |
270148 |
-9,7% |
29 |
Calvados |
396318 |
384730 |
-2,9% |
74 |
||
Indre |
287673 |
260535 |
-9,4% |
30 |
Corse |
288820 |
281959 |
-2,4% |
75 |
||
Drôme |
290894 |
263509 |
-9,4% |
31 |
Var |
330755 |
322945 |
-2,4% |
76 |
||
Vendée |
438520 |
397292 |
-9,4% |
32 |
Garonne (Haute) |
432126 |
424582 |
-1,7% |
77 |
||
Jura |
252713 |
229062 |
-9,4% |
33 |
Gironde |
829095 |
819404 |
-1,2% |
78 |
||
Dordogne |
437432 |
396742 |
-9,3% |
34 |
Loire |
640549 |
637130 |
-0,5% |
79 |
||
Savoie |
247890 |
224874 |
-9,3% |
35 |
Seine
Inférieure |
877383 |
880671 |
0,4% |
80 |
||
Vienne (Haute) |
384736 |
350235 |
-9,0% |
36 |
Alpes maritimes |
356338 |
357759 |
0,4% |
81 |
||
Nord |
1961780 |
1787918 |
-8,9% |
37 |
Hérault |
480484 |
488215 |
1,6% |
82 |
||
Tarn |
324090 |
295588 |
-8,8% |
38 |
Pyrénées
Orientales |
212986 |
217503 |
2,1% |
83 |
||
Charente |
346424 |
316279 |
-8,7% |
39 |
Rhône |
915581 |
956566 |
4,5% |
84 |
||
Allier |
406291 |
370950 |
-8,7% |
40 |
Bouches du
Rhône |
805532 |
841996 |
4,5% |
85 |
||
Landes |
288902 |
263937 |
-8,6% |
41 |
Seine |
4154042 |
4411691 |
6,2% |
86 |
||
Côte-d'Or |
350044 |
321088 |
-8,3% |
42 |
Seine & Oise |
817617 |
921673 |
12,7% |
87 |
||
Saône
&Loire |
604446 |
554816 |
-8,2% |
43 |
|
|
|
|
|
||
Sèvres
(Deux-) |
337627 |
310060 |
-8,2% |
44 |
France * |
39601509 |
37500017 |
-5,3% |
67 |
||
Ille & Vilaine |
608098 |
558574 |
-8,1% |
45 |
*
without Alsace-Lorraine |
1911Prés. |
1911. |
1921 |
Evolution |
Rank |
|
1911. |
1921. |
Evolution |
Rank |
Meuse |
274
706 |
205
043 |
-25,4% |
1 |
Ille
et Vilaine |
603287 |
553646 |
-8,2% |
45 |
Aisne |
526
788 |
418
348 |
-20,6% |
2 |
Sèvres
(Deux-) |
335115 |
308243 |
-8,0% |
46 |
Marne |
431
832 |
363
847 |
-15,7% |
3 |
Vienne |
330507 |
304337 |
-7,9% |
47 |
Alpes
(hautes) |
102
203 |
86
488 |
-15,4% |
4 |
Côtes
du Nord |
592840 |
546350 |
-7,8% |
48 |
Alpes
(basses) |
103
969 |
89
419 |
-14,0% |
5 |
Eure
et Loir |
268935 |
247863 |
-7,8% |
49 |
Lot |
202
402 |
174
662 |
-13,7% |
6 |
Saône
et Loire |
599279 |
552524 |
-7,8% |
50 |
Ardennes |
316
825 |
275
613 |
-13,0% |
7 |
Vaucluse |
237184 |
219082 |
-7,6% |
51 |
Ariège |
192
478 |
167
692 |
-12,9% |
8 |
Savoie
(Haute) |
251865 |
232695 |
-7,6% |
52 |
Somme |
514
929 |
449
596 |
-12,7% |
9 |
Loiret |
360823 |
333569 |
-7,6% |
53 |
Creuse |
250
600 |
218
825 |
-12,7% |
10 |
Loir
et Cher |
269486 |
249173 |
-7,5% |
54 |
Gers |
221
158 |
193
226 |
-12,6% |
11 |
Marne
(Haute) |
212962 |
196911 |
-7,5% |
55 |
Tarn
etGaronne |
181
186 |
158
769 |
-12,4% |
12 |
Sarthe |
416383 |
385923 |
-7,3% |
56 |
Mayenne |
295
908 |
260
778 |
-11,9% |
13 |
Maine
et Loire |
506905 |
471727 |
-6,9% |
57 |
Vosges |
432
035 |
380
972 |
-11,8% |
14 |
Charente
Infér. |
445166 |
414297 |
-6,9% |
58 |
Ardèche |
327
580 |
289
323 |
-11,7% |
15 |
Pas
de Calais |
1059824 |
988110 |
-6,8% |
59 |
Loire
( Haute) |
298
942 |
264
188 |
-11,6% |
16 |
Pyrénées
(Basses |
430437 |
401778 |
-6,7% |
60 |
Saône
( Haute) |
255
883 |
226
392 |
-11,5% |
17 |
Morbihan |
570465 |
534044 |
-6,4% |
61 |
Lozère |
117
301 |
104
341 |
-11,0% |
18 |
Puy
de Dôme |
512747 |
480013 |
-6,4% |
62 |
Manche |
474
132 |
422
853 |
-10,8% |
19 |
Finistère |
795308 |
746196 |
-6,2% |
63 |
Meurthe
& Mos. |
561
060 |
501
276 |
-10,7% |
20 |
Oise |
407681 |
382724 |
-6,1% |
64 |
Orne |
304
152 |
272
689 |
-10,3% |
21 |
Eure |
318809 |
299651 |
-6,0% |
65 |
Cher |
335
139 |
300
865 |
-10,2% |
22 |
Corse |
270218 |
254958 |
-5,6% |
66 |
Aveyron |
365
239 |
328
337 |
-10,1% |
23 |
Isère |
550164 |
520286 |
-5,4% |
67 |
Corrèze |
291
546 |
262
315 |
-10,0% |
24 |
Aube |
238690 |
226884 |
-4,9% |
68 |
Lot
etGaronne |
265
192 |
238
725 |
-10,0% |
25 |
Doubs |
295638 |
281439 |
-4,8% |
69 |
Yonne |
300
542 |
271
429 |
-9,7% |
26 |
Aude |
298164 |
285687 |
-4,2% |
70 |
Nièvre |
296
691 |
268
034 |
-9,7% |
27 |
Calvados |
393568 |
377320 |
-4,1% |
71 |
Drôme |
288
134 |
260
430 |
-9,6% |
28 |
Alpes
maritimes |
400672 |
384625 |
-4,0% |
72 |
Indre |
285
350 |
258
048 |
-9,6% |
29 |
Indre
et Loire |
339051 |
325870 |
-3,9% |
73 |
Dordogne |
434
186 |
392
941 |
-9,5% |
30 |
Gard |
407989 |
393469 |
-3,6% |
74 |
Cantal |
208
884 |
189
103 |
-9,5% |
31 |
Seine
et Marne |
357966 |
346360 |
-3,2% |
75 |
Jura |
249
999 |
226
395 |
-9,4% |
32 |
Var |
332879 |
322853 |
-3,0% |
76 |
Vendée |
436
814 |
395
991 |
-9,3% |
33 |
Loire
Inférieure |
666385 |
646667 |
-3,0% |
77 |
Pyrénées
(Htes) |
202
267 |
183
489 |
-9,3% |
34 |
Garonne
(Haute) |
423635 |
418253 |
-1,3% |
78 |
Allier |
405
288 |
368
341 |
-9,1% |
35 |
Gironde |
826208 |
818392 |
-0,9% |
79 |
Nord |
1
953 413 |
1
778 174 |
-9,0% |
36 |
Loire |
637425 |
632891 |
-0,7% |
80 |
Charente |
343
870 |
313
164 |
-8,9% |
37 |
Seine
Inférieure |
865571 |
871043 |
0,6% |
81 |
Vienne
(Haute) |
378
629 |
345
435 |
-8,8% |
38 |
Hérault |
478180 |
487833 |
2,0% |
82 |
Savoie
|
242
090 |
220
933 |
-8,7% |
39 |
Pyrénées
Orient. |
211737 |
216827 |
2,4% |
83 |
Belfort
(terr. de) |
101
287 |
92
584 |
-8,6% |
40 |
Rhône |
903864 |
943359 |
4,4% |
84 |
Côte-d'Or |
345
958 |
316
306 |
-8,6% |
41 |
Bouch.
du Rhône |
808166 |
853439 |
5,6% |
85 |
Landes |
288
431 |
264
013 |
-8,5% |
42 |
Seine
|
4090028 |
4325609 |
5,8% |
86 |
Tarn |
319
179 |
292
169 |
-8,5% |
43 |
Seine
et Oise |
806103 |
916783 |
13,7% |
87 |
Ain |
339
627 |
311
153 |
-8,4% |
44 |
France |
39192133 |
37102417 |
-5,3% |
|
Real Population 1911 - expat differential (1921-1911) + immigration differential from other departements (1921-1911, negative result) + foreign immigration differential (1921-1911) + annual natural balances (from 1911 to 1921).
For a reasonable estimate of the
expatriation
of the nationals of a department, we retained the use of the abundant
data by
the censuses on the official population and the real population present
the day of the
census. The data for a census is not relevant in oneself but the
difference of
the two variations out of two successive censuses enables us to put in
glance a
population nonpresent in 1921 with a nonpresent population in
1911. That
determines the evolution of the nonpresent population and to
constitute little,
under some reserves related to the characteristics of such or such
department,
an acceptable estimate of the movement of expatriation between these
two
censuses.
It is not thus astonishing to find at
the
beginning of list the ten departments of the front (except the
remarkable case
of Lozere which is intercalated), and at the end of the list all the
departments with very strong urban areas which accommodates wounded and
taken
refuge (Bouches du Rhone, the Rhone, Paris region, the Gironde, etc
the case
of the Alpes Maritimes comes out from another problems it is one of the
rare
cases of real population higher than the official (legal)
population, situation
in
relation to the long tradition of holiday of the French Riviera.
Comparison with the other departements
1921 |
theorical |
lacking |
Evol. |
|
1921 |
|
Real |
|
Evol. |
|
Aisne |
541
988 |
123
640 |
23,5% |
1 |
Ille etVilaine |
585
642 |
553
646 |
31
996 |
5,3% |
44 |
Meuse |
260
307 |
55
264 |
20,1% |
2 |
Savoie |
233
596 |
220
933 |
12
663 |
5,2% |
45 |
Marne |
434
355 |
70
508 |
16,3% |
3 |
Tarn |
308
691 |
292
169 |
16
522 |
5,2% |
46 |
Ardennes |
325
786 |
50
173 |
15,8% |
4 |
Lot |
185
056 |
174
662 |
10
394 |
5,1% |
47 |
Somme |
524
815 |
75
219 |
14,6% |
5 |
Loir et Cher |
262
382 |
249
173 |
13
209 |
4,9% |
48 |
Pas de Calais |
1
121 257 |
133
147 |
12,6% |
6 |
Pyrénées
Orientales |
227
114 |
216
827 |
10
287 |
4,9% |
49 |
Vosges |
434
586 |
53
614 |
12,4% |
7 |
Loiret |
351
066 |
333
569 |
17
497 |
4,8% |
50 |
Nord |
2
004 546 |
226
372 |
11,6% |
8 |
Eure et Loir |
260
868 |
247
863 |
13
005 |
4,8% |
51 |
Lozère |
117
901 |
13
560 |
11,6% |
9 |
Allier |
387
551 |
368
341 |
19
210 |
4,7% |
52 |
Meurthe etMosle |
562
581 |
61
305 |
10,9% |
10 |
Charente |
329
396 |
313
164 |
16
232 |
4,7% |
53 |
Oise |
424
685 |
41
961 |
10,3% |
11 |
Seine et Marne |
362
695 |
346
360 |
16
335 |
4,6% |
54 |
Corrèze |
292
305 |
29
990 |
10,3% |
12 |
Pyrénées
( Hautes) |
191
950 |
183
489 |
8
461 |
4,2% |
55 |
Creuse |
243
981 |
25
156 |
10,0% |
13 |
Charente
Inférieure |
432
527 |
414
297 |
18
230 |
4,1% |
56 |
Vendée |
437
761 |
41
770 |
9,6% |
14 |
Eure |
312
699 |
299
651 |
13
048 |
4,1% |
57 |
Finistère |
821
944 |
75
748 |
9,5% |
15 |
Loire
Inférieure |
671
760 |
646
667 |
25
093 |
3,8% |
58 |
Cantal |
207
614 |
18
511 |
8,9% |
16 |
Ain |
323
840 |
311
153 |
12
687 |
3,7% |
59 |
Loire ( Haute) |
290
536 |
26
348 |
8,8% |
17 |
Seine
Inférieure |
902
989 |
871
043 |
31
946 |
3,7% |
60 |
Alpes (hautes) |
94
969 |
8
481 |
8,3% |
18 |
Tarn etGaronne |
165
391 |
158
769 |
6
622 |
3,7% |
61 |
Alpes (basses) |
98
014 |
8
595 |
8,3% |
19 |
Aube |
235
441 |
226
884 |
8
557 |
3,6% |
62 |
Saône (
Haute) |
247
447 |
21
055 |
8,2% |
20 |
Drôme |
270
227 |
260
430 |
9
797 |
3,4% |
63 |
Landes |
287
463 |
23
450 |
8,1% |
21 |
Orne |
282
987 |
272
689 |
10
298 |
3,4% |
64 |
Belfort (terri d) |
100
735 |
8
151 |
8,0% |
22 |
Côte-d' Or |
327
934 |
316
306 |
11
628 |
3,4% |
65 |
Côtes du Nord |
593
738 |
47
388 |
8,0% |
23 |
Isère |
537
981 |
520
286 |
17
695 |
3,2% |
66 |
Ariège |
182
766 |
15
074 |
7,8% |
24 |
Sarthe |
398
930 |
385
923 |
13
007 |
3,1% |
67 |
Ardèche |
314
961 |
25
638 |
7,8% |
25 |
Puy de Dôme |
495
302 |
480
013 |
15
289 |
3,0% |
68 |
Yonne |
294
862 |
23
433 |
7,8% |
26 |
Aude |
294
356 |
285
687 |
8
669 |
2,9% |
69 |
Aveyron |
356
169 |
27
832 |
7,6% |
27 |
Corse |
262 066 |
254 958 |
7 108 |
2,6% |
70 |
Saône etLoire |
597
354 |
44
830 |
7,5% |
28 |
Gers |
198
848 |
193
226 |
5
622 |
2,5% |
71 |
Morbihan |
576
398 |
42
354 |
7,4% |
29 |
Maine et Loire |
484
299 |
471
727 |
12
572 |
2,5% |
72 |
Mayenne |
282
741 |
21
963 |
7,4% |
30 |
Lot etGaronne |
244
735 |
238
725 |
6
010 |
2,3% |
73 |
Vienne (Haute) |
373
437 |
28
002 |
7,4% |
31 |
Indre et Loire |
332
226 |
325
870 |
6
356 |
1,9% |
74 |
Pyrénées
(Basses |
433
384 |
31
606 |
7,3% |
32 |
Vaucluse |
222
983 |
219
082 |
3
901 |
1,6% |
75 |
Indre |
278
368 |
20
320 |
7,1% |
33 |
Loire |
642
883 |
632
891 |
9
992 |
1,6% |
76 |
Sèvres (
Deux-) |
330
736 |
22
493 |
6,7% |
34 |
Gard |
399
616 |
393
469 |
6
147 |
1,5% |
77 |
Dordogne |
421
501 |
28
560 |
6,6% |
35 |
Calvados |
380
961 |
377
320 |
3
641 |
0,9% |
78 |
Vienne |
324
820 |
20
483 |
6,2% |
36 |
Bouches du
Rhône |
860
709 |
853
439 |
7
270 |
0,9% |
79 |
Cher |
321
632 |
20
767 |
6,2% |
37 |
Gironde |
820
248 |
818
392 |
1
856 |
0,2% |
80 |
Manche |
451
049 |
28
196 |
5,9% |
38 |
Hérault |
485
033 |
487
833 |
-2
800 |
-0,6% |
81 |
Doubs |
298
529 |
17
090 |
5,8% |
39 |
Seine |
4
226 874 |
4
325 609 |
-98
735 |
-2,4% |
82 |
Marne (Haute) |
208
742 |
11
831 |
5,6% |
40 |
Seine et Oise |
894
584 |
916
783 |
-22
199 |
-2,8% |
83 |
Jura |
240
019 |
13
624 |
5,4% |
41 |
Garonne (Haute) |
404
706 |
418
253 |
-13
547 |
-3,2% |
84 |
Savoie (Haute) |
246
339 |
13
644 |
5,4% |
42 |
Rhône |
909
152 |
943
359 |
-34
207 |
-3,8% |
85 |
Nièvre |
284
078 |
16
044 |
5,4% |
43 |
Var |
308
122 |
322
853 |
-14
731 |
-4,4% |
86 |
|
|
|
|
|
Alpes maritimes |
359
525 |
384
625 |
-25
100 |
-6,3% |
87 |
Death rate in the Army Regions and description of the relationship with the expat rate
Source : L’Impartial Français, March 15th 1924.
Only the losses of the soldiers and non-commissioned officers are indexed and this counting rests on the first censuses carried out and not on the exploitation of the army files. The same identified defects concerning the war memorials are found there. Moreover, other biases seem the comparatively high death rate of the areas of the medical back (Orleans, Le Mans, Limoges, etc) which enter the deaths in the hospitals. In spite of this last bias, this table is invaluable because it will enable us to test our assumption of statistical relation between death rate and net expatriation rate. The regroupings of the departments to evaluate the rate of expatriation per military region is carried out in “whole departments” (in other words the departments shared between military regions were allotted to one or the other according to the localization of the prefecture. An exception however for the military Government of Paris which receives the reinforcement of the Seine & Oise. The result obtained is the following for a net expat rate in 1911 on the basis of interdepartmental exchange of population really noted (matrix 87 X 87). The concept of expatriation is to be distinguished from migratory balance because it evaluates the combination of migratory balances through several generations and thus incorporates past movements. This data thus does not merge with the annual migratory balance compared between two censuses.
|
emigration |
immigration |
residents |
Net
Expat. rate |
Death
rate |
1
RM |
165889 |
111711 |
903950 |
6,0% |
14,2% |
2
RM |
140761 |
113164 |
484113 |
5,7% |
13,8% |
3
RM |
187780 |
294266 |
796601 |
-13,4% |
17,0% |
4
RM |
153646 |
101035 |
446219 |
11,8% |
20,0% |
5
RM |
168429 |
120198 |
450993 |
10,7% |
20,2% |
6
RM |
123500 |
176754 |
533600 |
-10,0% |
13,7% |
7
RM |
136448 |
87801 |
422728 |
11,5% |
17,4% |
8
RM |
208394 |
103638 |
555235 |
18,9% |
19,3% |
9
RM |
169182 |
131170 |
648743 |
5,9% |
17,7% |
10
RM |
155547 |
68131 |
549366 |
15,9% |
19,5% |
11
RM |
182815 |
92623 |
800191 |
11,3% |
18,6% |
12
RM |
209854 |
86314 |
586159 |
21,1% |
19,6% |
13
RM |
206493 |
111129 |
692223 |
13,8% |
17,6% |
14
RM |
142564 |
85514 |
493213 |
11,6% |
17,6% |
15
RM |
202846 |
228770 |
861230 |
-3,0% |
11,9% |
16
RM |
165548 |
105850 |
589784 |
10,1% |
16,9% |
17
RM |
139810 |
94894 |
537633 |
8,4% |
17,5% |
18
RM |
143196 |
149950 |
745898 |
-0,9% |
15,5% |
20
RM |
77828 |
67135 |
298616 |
3,6% |
16,9% |
GL |
51992 |
134371 |
297116 |
-27,7% |
12,3% |
GP |
163171 |
831275 |
1316387 |
-48,30% |
10,5% |
Evaluation before the creation of
the Army regions of Nancy and Epinal (6th RM modified)
Algiers is not present (less significative regarding the mobilisation
rules in that area)
To be complete, let us add that the
application of a weighting on the basis of coefficient 1 representative
the
absence of clear expatriation (what is the case for the national
average, the
expatriation abroad being excluded from calculation) makes it possible
to
tighten the variations appreciably. Thus the standard deviation before
correction of the series is of 2,5% compared with 1,7% after
correction. Finally
the graph hereafter watch groups of dots before correction and the line
of the
corrected points. The application of the correction to the death rate
of
Corsica would make fall this one at 15% is 7700 losses (not far from
the
counting carried out on the basis of army file, which counts 8007
losses).
Sources
Répertoires
des recensements de 1911 et 1921, éd. Imprimerie
Nationale, 1912 et 1922
Histoire de la population française, 4è tome,
dir. Jacques
Dupâquier, PUF, 1988
Atlas ethno-historique de la Corse
INED
Recueil des recensements, Imprimerie Nationale, 1912, 1922
Statistiques du mouvement de la population, Imprimerie
nationale 1911-1921 (4 vol)
Statistiques sanitaires de la France, Imprimerie
administrative Ministère de l’hygiène,
de l’assistance et de la prévoyance
sociale, 1911-1920 (10 vol) [Ministry
for
hygiene, the assistance and the social welfare]