Cabanelas Postal Codes, Portugal

Cabanelas in Portugal has 26 postal codes recorded, running from 3730-274 to 5370-070.

Where Cabanelas is

41.5249, -8.3833 — the centre of Cabanelas’s postal codes.

Every postal code in Cabanelas has its own page. Click any code below for that area's map, its own figures and, where we have it, its nearest weather station and monthly climate chart.

Cabanelas by postal code

Every one of Cabanelas's 24 postal codes, ordered on each measure that differs between them. Click any code for that area's own page.

Residents695 – 46,444 · 24 codes

1	4730-082	46,444
2	4730-083	46,444
3	4730-084	46,444
4	4730-085	46,444
5	4730-086	46,444
6	4730-087	46,444
7	4730-088	46,444
8	4730-089	46,444
9	4730-090	46,444
10	4730-091	46,444
11	4730-092	46,444
12	4730-093	46,444
13	4730-094	46,444
14	4730-095	46,444
15	4730-096	46,444
16	4730-097	46,444
17	4730-098	46,444
18	4730-099	46,444
19	4730-449	46,444
20	5370-070	21,384
21	3730-274	21,269
22	4690-323	17,730
23	4890-106	1,116
24	4830-713	695

Population density32.5 /km² – 203.1 /km² · 24 codes

1	4730-082	203.1 /km²
2	4730-083	203.1 /km²
3	4730-084	203.1 /km²
4	4730-085	203.1 /km²
5	4730-086	203.1 /km²
6	4730-087	203.1 /km²
7	4730-088	203.1 /km²
8	4730-089	203.1 /km²
9	4730-090	203.1 /km²
10	4730-091	203.1 /km²
11	4730-092	203.1 /km²
12	4730-093	203.1 /km²
13	4730-094	203.1 /km²
14	4730-095	203.1 /km²
15	4730-096	203.1 /km²
16	4730-097	203.1 /km²
17	4730-098	203.1 /km²
18	4730-099	203.1 /km²
19	4730-449	203.1 /km²
20	3730-274	144.4 /km²
21	4890-106	102.5 /km²
22	4690-323	74.1 /km²
23	4830-713	68.7 /km²
24	5370-070	32.5 /km²

Completed at least secondary school15.54% – 38.67% · 24 codes

1	5370-070	38.67%
2	4730-082	36.86%
3	4730-083	36.86%
4	4730-084	36.86%
5	4730-085	36.86%
6	4730-086	36.86%
7	4730-087	36.86%
8	4730-088	36.86%
9	4730-089	36.86%
10	4730-090	36.86%
11	4730-091	36.86%
12	4730-092	36.86%
13	4730-093	36.86%
14	4730-094	36.86%
15	4730-095	36.86%
16	4730-096	36.86%
17	4730-097	36.86%
18	4730-098	36.86%
19	4730-099	36.86%
20	4730-449	36.86%
21	3730-274	35.93%
22	4690-323	25.96%
23	4890-106	24.21%
24	4830-713	15.54%

Men339 – 22,223 · 24 codes

1	4730-082	22,223
2	4730-083	22,223
3	4730-084	22,223
4	4730-085	22,223
5	4730-086	22,223
6	4730-087	22,223
7	4730-088	22,223
8	4730-089	22,223
9	4730-090	22,223
10	4730-091	22,223
11	4730-092	22,223
12	4730-093	22,223
13	4730-094	22,223
14	4730-095	22,223
15	4730-096	22,223
16	4730-097	22,223
17	4730-098	22,223
18	4730-099	22,223
19	4730-449	22,223
20	3730-274	10,278
21	5370-070	10,123
22	4690-323	8,613
23	4890-106	490
24	4830-713	339

Women356 – 24,221 · 24 codes

1	4730-082	24,221
2	4730-083	24,221
3	4730-084	24,221
4	4730-085	24,221
5	4730-086	24,221
6	4730-087	24,221
7	4730-088	24,221
8	4730-089	24,221
9	4730-090	24,221
10	4730-091	24,221
11	4730-092	24,221
12	4730-093	24,221
13	4730-094	24,221
14	4730-095	24,221
15	4730-096	24,221
16	4730-097	24,221
17	4730-098	24,221
18	4730-099	24,221
19	4730-449	24,221
20	5370-070	11,261
21	3730-274	10,991
22	4690-323	9,117
23	4890-106	626
24	4830-713	356

Aged under 157.9% – 13.2% · 24 codes

1	4730-082	13.2%
2	4730-083	13.2%
3	4730-084	13.2%
4	4730-085	13.2%
5	4730-086	13.2%
6	4730-087	13.2%
7	4730-088	13.2%
8	4730-089	13.2%
9	4730-090	13.2%
10	4730-091	13.2%
11	4730-092	13.2%
12	4730-093	13.2%
13	4730-094	13.2%
14	4730-095	13.2%
15	4730-096	13.2%
16	4730-097	13.2%
17	4730-098	13.2%
18	4730-099	13.2%
19	4730-449	13.2%
20	4890-106	11.6%
21	4690-323	11.4%
22	3730-274	10.7%
23	5370-070	10.1%
24	4830-713	7.9%

Aged 65 and over21.8% – 34.4% · 24 codes

1	4830-713	34.4%
2	5370-070	32.1%
3	3730-274	28.2%
4	4890-106	27.4%
5	4690-323	25.4%
6	4730-082	21.8%
7	4730-083	21.8%
8	4730-084	21.8%
9	4730-085	21.8%
10	4730-086	21.8%
11	4730-087	21.8%
12	4730-088	21.8%
13	4730-089	21.8%
14	4730-090	21.8%
15	4730-091	21.8%
16	4730-092	21.8%
17	4730-093	21.8%
18	4730-094	21.8%
19	4730-095	21.8%
20	4730-096	21.8%
21	4730-097	21.8%
22	4730-098	21.8%
23	4730-099	21.8%
24	4730-449	21.8%

Ageing index165.44 – 434.55 · 24 codes

1	4830-713	434.55
2	5370-070	318.16
3	3730-274	264.52
4	4890-106	235.38
5	4690-323	223.33
6	4730-082	165.44
7	4730-083	165.44
8	4730-084	165.44
9	4730-085	165.44
10	4730-086	165.44
11	4730-087	165.44
12	4730-088	165.44
13	4730-089	165.44
14	4730-090	165.44
15	4730-091	165.44
16	4730-092	165.44
17	4730-093	165.44
18	4730-094	165.44
19	4730-095	165.44
20	4730-096	165.44
21	4730-097	165.44
22	4730-098	165.44
23	4730-099	165.44
24	4730-449	165.44

Population change, 2011 to 2021-13.76% – -3.02% · 24 codes

1	4730-082	-3.02%
2	4730-083	-3.02%
3	4730-084	-3.02%
4	4730-085	-3.02%
5	4730-086	-3.02%
6	4730-087	-3.02%
7	4730-088	-3.02%
8	4730-089	-3.02%
9	4730-090	-3.02%
10	4730-091	-3.02%
11	4730-092	-3.02%
12	4730-093	-3.02%
13	4730-094	-3.02%
14	4730-095	-3.02%
15	4730-096	-3.02%
16	4730-097	-3.02%
17	4730-098	-3.02%
18	4730-099	-3.02%
19	4730-449	-3.02%
20	3730-274	-6.98%
21	5370-070	-10.34%
22	4830-713	-12.47%
23	4690-323	-13.2%
24	4890-106	-13.76%

Economically active, of all residents27.48% – 45.38% · 24 codes

1	4730-082	45.38%
2	4730-083	45.38%
3	4730-084	45.38%
4	4730-085	45.38%
5	4730-086	45.38%
6	4730-087	45.38%
7	4730-088	45.38%
8	4730-089	45.38%
9	4730-090	45.38%
10	4730-091	45.38%
11	4730-092	45.38%
12	4730-093	45.38%
13	4730-094	45.38%
14	4730-095	45.38%
15	4730-096	45.38%
16	4730-097	45.38%
17	4730-098	45.38%
18	4730-099	45.38%
19	4730-449	45.38%
20	3730-274	45.29%
21	4890-106	40.41%
22	5370-070	39.88%
23	4690-323	38.18%
24	4830-713	27.48%

In work, of residents aged 15 and over27.19% – 48.76% · 24 codes

1	4730-082	48.76%
2	4730-083	48.76%
3	4730-084	48.76%
4	4730-085	48.76%
5	4730-086	48.76%
6	4730-087	48.76%
7	4730-088	48.76%
8	4730-089	48.76%
9	4730-090	48.76%
10	4730-091	48.76%
11	4730-092	48.76%
12	4730-093	48.76%
13	4730-094	48.76%
14	4730-095	48.76%
15	4730-096	48.76%
16	4730-097	48.76%
17	4730-098	48.76%
18	4730-099	48.76%
19	4730-449	48.76%
20	3730-274	48.56%
21	4890-106	42.6%
22	5370-070	40.2%
23	4690-323	38.82%
24	4830-713	27.19%

Illiteracy rate3.41% – 7.9% · 24 codes

1	4890-106	7.9%
2	4830-713	6.91%
3	5370-070	5.58%
4	4690-323	5.5%
5	4730-082	4.43%
6	4730-083	4.43%
7	4730-084	4.43%
8	4730-085	4.43%
9	4730-086	4.43%
10	4730-087	4.43%
11	4730-088	4.43%
12	4730-089	4.43%
13	4730-090	4.43%
14	4730-091	4.43%
15	4730-092	4.43%
16	4730-093	4.43%
17	4730-094	4.43%
18	4730-095	4.43%
19	4730-096	4.43%
20	4730-097	4.43%
21	4730-098	4.43%
22	4730-099	4.43%
23	4730-449	4.43%
24	3730-274	3.41%

Addressing mail to Cabanelas

[Recipient name]
[Street address]
3730-274 Cabanelas
PORTUGAL

Nearest towns

Measured from Cabanelas:

Crespos 1 km E · Rego 2 km SW · Longos 2 km E · Trandeiras 3 km S · Porta 3 km NE · Ferreiros 3 km SE · Hospital 3 km W · Outeiral 4 km NW

All Portugal postal codes · Other places starting with C

For the code covering one specific street or building in Cabanelas, use the official finder: www.ctt.pt/feapl_2/app/open/tools.jspx?tool=1.