Paços Postal Codes, Portugal

Paços in Portugal has 30 postal codes recorded, running from 2580-244 to 5060-213.

Where Paços is

41.1042, -8.0645 — the centre of Paços’s postal codes.

Every postal code in Paços 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.

Paços by postal code

Every one of Paços's 28 postal codes, ordered on each measure that differs between them. Click any code for that area's own page.

Residents295 – 86,515 · 28 codes

1	2665-417	86,515
2	4820-114	48,497
3	4820-370	48,497
4	4820-371	48,497
5	4820-377	48,497
6	4820-550	48,497
7	5060-193	5,548
8	5060-201	5,548
9	5060-202	5,548
10	5060-203	5,548
11	5060-205	5,548
12	5060-206	5,548
13	5060-207	5,548
14	5060-208	5,548
15	5060-209	5,548
16	5060-210	5,548
17	5060-211	5,548
18	5060-212	5,548
19	5060-213	5,548
20	3700-374	2,896
21	3700-376	2,896
22	3700-675	2,896
23	3700-803	2,896
24	3700-805	2,896
25	3700-806	2,896
26	4690-649	2,839
27	2580-244	1,195
28	4970-019	295

Population density25.8 /km² – 356.6 /km² · 28 codes

1	3700-374	356.6 /km²
2	3700-376	356.6 /km²
3	3700-675	356.6 /km²
4	3700-803	356.6 /km²
5	3700-805	356.6 /km²
6	3700-806	356.6 /km²
7	4690-649	309.6 /km²
8	2665-417	296.6 /km²
9	4820-114	221.4 /km²
10	4820-370	221.4 /km²
11	4820-371	221.4 /km²
12	4820-377	221.4 /km²
13	4820-550	221.4 /km²
14	4970-019	161.2 /km²
15	5060-193	35.4 /km²
16	5060-201	35.4 /km²
17	5060-202	35.4 /km²
18	5060-203	35.4 /km²
19	5060-205	35.4 /km²
20	5060-206	35.4 /km²
21	5060-207	35.4 /km²
22	5060-208	35.4 /km²
23	5060-209	35.4 /km²
24	5060-210	35.4 /km²
25	5060-211	35.4 /km²
26	5060-212	35.4 /km²
27	5060-213	35.4 /km²
28	2580-244	25.8 /km²

Completed at least secondary school25.48% – 53.5% · 28 codes

1	2665-417	53.5%
2	2580-244	39.51%
3	4820-114	33.04%
4	4820-370	33.04%
5	4820-371	33.04%
6	4820-377	33.04%
7	4820-550	33.04%
8	3700-374	31.39%
9	3700-376	31.39%
10	3700-675	31.39%
11	3700-803	31.39%
12	3700-805	31.39%
13	3700-806	31.39%
14	5060-193	28.07%
15	5060-201	28.07%
16	5060-202	28.07%
17	5060-203	28.07%
18	5060-205	28.07%
19	5060-206	28.07%
20	5060-207	28.07%
21	5060-208	28.07%
22	5060-209	28.07%
23	5060-210	28.07%
24	5060-211	28.07%
25	5060-212	28.07%
26	5060-213	28.07%
27	4690-649	27.5%
28	4970-019	25.48%

Men126 – 41,916 · 28 codes

1	2665-417	41,916
2	4820-114	23,087
3	4820-370	23,087
4	4820-371	23,087
5	4820-377	23,087
6	4820-550	23,087
7	5060-193	2,661
8	5060-201	2,661
9	5060-202	2,661
10	5060-203	2,661
11	5060-205	2,661
12	5060-206	2,661
13	5060-207	2,661
14	5060-208	2,661
15	5060-209	2,661
16	5060-210	2,661
17	5060-211	2,661
18	5060-212	2,661
19	5060-213	2,661
20	4690-649	1,396
21	3700-374	1,389
22	3700-376	1,389
23	3700-675	1,389
24	3700-803	1,389
25	3700-805	1,389
26	3700-806	1,389
27	2580-244	599
28	4970-019	126

Women169 – 44,599 · 28 codes

1	2665-417	44,599
2	4820-114	25,410
3	4820-370	25,410
4	4820-371	25,410
5	4820-377	25,410
6	4820-550	25,410
7	5060-193	2,887
8	5060-201	2,887
9	5060-202	2,887
10	5060-203	2,887
11	5060-205	2,887
12	5060-206	2,887
13	5060-207	2,887
14	5060-208	2,887
15	5060-209	2,887
16	5060-210	2,887
17	5060-211	2,887
18	5060-212	2,887
19	5060-213	2,887
20	3700-374	1,507
21	3700-376	1,507
22	3700-675	1,507
23	3700-803	1,507
24	3700-805	1,507
25	3700-806	1,507
26	4690-649	1,443
27	2580-244	596
28	4970-019	169

Aged under 157.1% – 16.4% · 28 codes

1	2665-417	16.4%
2	2580-244	14.9%
3	3700-374	12.4%
4	3700-376	12.4%
5	3700-675	12.4%
6	3700-803	12.4%
7	3700-805	12.4%
8	3700-806	12.4%
9	4690-649	11.7%
10	4820-114	11.7%
11	4820-370	11.7%
12	4820-371	11.7%
13	4820-377	11.7%
14	4820-550	11.7%
15	5060-193	9.8%
16	5060-201	9.8%
17	5060-202	9.8%
18	5060-203	9.8%
19	5060-205	9.8%
20	5060-206	9.8%
21	5060-207	9.8%
22	5060-208	9.8%
23	5060-209	9.8%
24	5060-210	9.8%
25	5060-211	9.8%
26	5060-212	9.8%
27	5060-213	9.8%
28	4970-019	7.1%

Aged 65 and over17.8% – 38% · 28 codes

1	4970-019	38%
2	5060-193	32.6%
3	5060-201	32.6%
4	5060-202	32.6%
5	5060-203	32.6%
6	5060-205	32.6%
7	5060-206	32.6%
8	5060-207	32.6%
9	5060-208	32.6%
10	5060-209	32.6%
11	5060-210	32.6%
12	5060-211	32.6%
13	5060-212	32.6%
14	5060-213	32.6%
15	2580-244	24.5%
16	4820-114	23.1%
17	4820-370	23.1%
18	4820-371	23.1%
19	4820-377	23.1%
20	4820-550	23.1%
21	4690-649	23%
22	3700-374	22.6%
23	3700-376	22.6%
24	3700-675	22.6%
25	3700-803	22.6%
26	3700-805	22.6%
27	3700-806	22.6%
28	2665-417	17.8%

Ageing index108.45 – 533.33 · 28 codes

1	4970-019	533.33
2	5060-193	331.5
3	5060-201	331.5
4	5060-202	331.5
5	5060-203	331.5
6	5060-205	331.5
7	5060-206	331.5
8	5060-207	331.5
9	5060-208	331.5
10	5060-209	331.5
11	5060-210	331.5
12	5060-211	331.5
13	5060-212	331.5
14	5060-213	331.5
15	4820-114	196.83
16	4820-370	196.83
17	4820-371	196.83
18	4820-377	196.83
19	4820-550	196.83
20	4690-649	196.1
21	3700-374	181.94
22	3700-376	181.94
23	3700-675	181.94
24	3700-803	181.94
25	3700-805	181.94
26	3700-806	181.94
27	2580-244	164.61
28	2665-417	108.45

Population change, 2011 to 2021-12.78% – 12.82% · 28 codes

1	2665-417	12.82%
2	4820-114	-4.22%
3	4820-370	-4.22%
4	4820-371	-4.22%
5	4820-377	-4.22%
6	4820-550	-4.22%
7	3700-374	-6.19%
8	3700-376	-6.19%
9	3700-675	-6.19%
10	3700-803	-6.19%
11	3700-805	-6.19%
12	3700-806	-6.19%
13	2580-244	-7.29%
14	4690-649	-11.34%
15	4970-019	-11.41%
16	5060-193	-12.78%
17	5060-201	-12.78%
18	5060-202	-12.78%
19	5060-203	-12.78%
20	5060-205	-12.78%
21	5060-206	-12.78%
22	5060-207	-12.78%
23	5060-208	-12.78%
24	5060-209	-12.78%
25	5060-210	-12.78%
26	5060-211	-12.78%
27	5060-212	-12.78%
28	5060-213	-12.78%

Economically active, of all residents34.92% – 49.75% · 28 codes

1	2665-417	49.75%
2	3700-374	46.82%
3	3700-376	46.82%
4	3700-675	46.82%
5	3700-803	46.82%
6	3700-805	46.82%
7	3700-806	46.82%
8	2580-244	46.36%
9	4820-114	46.02%
10	4820-370	46.02%
11	4820-371	46.02%
12	4820-377	46.02%
13	4820-550	46.02%
14	4690-649	39.84%
15	5060-193	38.28%
16	5060-201	38.28%
17	5060-202	38.28%
18	5060-203	38.28%
19	5060-205	38.28%
20	5060-206	38.28%
21	5060-207	38.28%
22	5060-208	38.28%
23	5060-209	38.28%
24	5060-210	38.28%
25	5060-211	38.28%
26	5060-212	38.28%
27	5060-213	38.28%
28	4970-019	34.92%

In work, of residents aged 15 and over35.77% – 55.79% · 28 codes

1	2665-417	55.79%
2	3700-374	50.63%
3	3700-376	50.63%
4	3700-675	50.63%
5	3700-803	50.63%
6	3700-805	50.63%
7	3700-806	50.63%
8	2580-244	50.44%
9	4820-114	47.78%
10	4820-370	47.78%
11	4820-371	47.78%
12	4820-377	47.78%
13	4820-550	47.78%
14	4690-649	41.58%
15	5060-193	39.5%
16	5060-201	39.5%
17	5060-202	39.5%
18	5060-203	39.5%
19	5060-205	39.5%
20	5060-206	39.5%
21	5060-207	39.5%
22	5060-208	39.5%
23	5060-209	39.5%
24	5060-210	39.5%
25	5060-211	39.5%
26	5060-212	39.5%
27	5060-213	39.5%
28	4970-019	35.77%

Illiteracy rate1.86% – 6.43% · 28 codes

1	5060-193	6.43%
2	5060-201	6.43%
3	5060-202	6.43%
4	5060-203	6.43%
5	5060-205	6.43%
6	5060-206	6.43%
7	5060-207	6.43%
8	5060-208	6.43%
9	5060-209	6.43%
10	5060-210	6.43%
11	5060-211	6.43%
12	5060-212	6.43%
13	5060-213	6.43%
14	4690-649	5.01%
15	4820-114	3.73%
16	4820-370	3.73%
17	4820-371	3.73%
18	4820-377	3.73%
19	4820-550	3.73%
20	3700-374	3.35%
21	3700-376	3.35%
22	3700-675	3.35%
23	3700-803	3.35%
24	3700-805	3.35%
25	3700-806	3.35%
26	2580-244	2.15%
27	4970-019	2.12%
28	2665-417	1.86%

Addressing mail to Paços

[Recipient name]
[Street address]
2580-244 Paços
PORTUGAL

Nearest towns

Measured from Paços:

Ancede 1 km E · Baião 2 km NE · Sande 3 km NW · Gove 3 km NE · Grilo 4 km N · Paços de Gaiolo 4 km W · Pepim 4 km NE · Cinfães 4 km SW

All Portugal postal codes · Other places starting with P

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