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Table A6.14 |
Educational Attainments of Fishers by gender |
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NUTS II |
NUTS III Regions |
No Studies |
Primary |
Secondary |
Further |
|
|
|
M |
F |
T |
M |
F |
T |
M |
F |
T |
M |
F |
T |
|
Valle d'Aosta |
Aosta |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
Lombardia |
Bergamo |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Brescia |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Como |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Cremona |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Lecco |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Lodi |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Mantova |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Milano |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Pavia |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Sondrio |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Varese |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
Piemonte |
Alessandria |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Asti |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Biella |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Cuneo |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Novara |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Torino |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Verbano-Cusio-Ossola |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Vercelli |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
Liguria |
Genova |
0 |
0 |
0 |
218 |
0 |
218 |
212 |
0 |
212 |
60 |
0 |
60 |
|
|
Imperia |
0 |
0 |
0 |
148 |
0 |
148 |
132 |
0 |
132 |
49 |
0 |
49 |
|
|
La Spezia |
0 |
0 |
0 |
106 |
0 |
106 |
93 |
0 |
93 |
31 |
0 |
31 |
|
|
Savona |
0 |
0 |
0 |
209 |
0 |
209 |
175 |
0 |
175 |
52 |
0 |
52 |
|
Toscana |
Arezzo |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Firenze |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Grosseto |
0 |
0 |
0 |
176 |
0 |
176 |
158 |
0 |
158 |
68 |
0 |
68 |
|
|
Livorno |
0 |
0 |
0 |
327 |
0 |
327 |
341 |
0 |
341 |
86 |
0 |
86 |
|
|
Lucca |
0 |
0 |
0 |
165 |
0 |
165 |
141 |
0 |
141 |
55 |
0 |
55 |
|
|
Massa Carrara |
0 |
0 |
0 |
25 |
0 |
25 |
15 |
0 |
15 |
5 |
0 |
5 |
|
|
Pisa |
0 |
0 |
0 |
7 |
0 |
7 |
6 |
0 |
6 |
2 |
0 |
2 |
|
|
Pistoia |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Prato |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Siena |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
Lazio |
Frosinone |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Latina |
0 |
0 |
0 |
401 |
0 |
401 |
355 |
0 |
355 |
136 |
0 |
136 |
|
|
Rieti |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Roma |
0 |
0 |
0 |
461 |
0 |
461 |
421 |
0 |
421 |
162 |
0 |
162 |
|
|
Viterbo |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
Campania |
Avellino |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Benevento |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Caserta |
0 |
0 |
0 |
26 |
0 |
26 |
18 |
0 |
18 |
7 |
0 |
7 |
|
|
Napoli |
0 |
0 |
0 |
719 |
0 |
719 |
678 |
0 |
678 |
278 |
0 |
278 |
|
|
Salerno |
0 |
0 |
0 |
526 |
0 |
526 |
496 |
0 |
496 |
203 |
0 |
203 |
|
Calabria |
Catanzaro |
0 |
0 |
0 |
45 |
0 |
45 |
28 |
0 |
28 |
12 |
0 |
12 |
|
|
Cosenza |
0 |
0 |
0 |
312 |
0 |
312 |
245 |
0 |
245 |
101 |
0 |
101 |
|
|
Crotone |
0 |
0 |
0 |
160 |
0 |
160 |
127 |
0 |
127 |
60 |
0 |
60 |
|
|
Reggio Calabria |
0 |
0 |
0 |
491 |
0 |
491 |
321 |
0 |
321 |
125 |
0 |
125 |
|
|
Vibo Valentia |
0 |
0 |
0 |
98 |
0 |
98 |
98 |
0 |
98 |
86 |
0 |
86 |
|
Total Area lot 12 |
|
0 |
0 |
0 |
4620 |
0 |
4620 |
4060 |
0 |
4060 |
1578 |
0 |
1578 |
|
Italy |
|
0 |
0 |
0 |
#### |
0 |
#### |
#### |
0 |
#### |
7179 |
0 |
7179 |
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Source:"Fishermen's perception of technical conservation measures in the Mediterranean", ACC-Athens Consultancy Centre LTD, Athene-Greece. |
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For the Italian data: Acquastudio, Messina, Italia - Year: 1997 |
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Lowest regional divisional of data available: The data available refers to the national stratification by area. IREPA data was used for estimating the figures at the NUTS III level. These figures report the total number of people employed in the fishery sector. The data was allocated on a geographical basis according to fleet distribution by region as illustrated in table 1 |