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Inquérito Sobre Despesas, Receitas e Emprego 2018 - 2019

Angola, 2018 - 2019
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Reference ID
AGO_2018_IDREA_v01_M_v01_A_PUF
Producer(s)
Instituto Nacional de Estatistica
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
28623
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MUNICÍPIO (MUN)

Data file: FIDREA_DADOS_QMC_Seccao_02_Pessoas.sav

Overview

Valid: 4181
Invalid: 5940
Minimum: 101
Maximum: 1815
Type: Discrete
Decimal: 0
Start: 54
End: 63
Width: 10
Range: 101 - 1815
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999999999 missing 0
0%
101 Cabinda 185
4.4%
103 Cacongo (ex Lândana) 4
0.1%
105 Buco Zau 11
0.3%
107 Belize 8
0.2%
201 Mbanza Congo 164
3.9%
203 Soyo 305
7.3%
205 Nzetu 41
1%
207 Tomboco 58
1.4%
209 Nóqui 26
0.6%
211 Kuimba 61
1.5%
301 Uíge 52
1.2%
303 Ambuíla 0
0%
305 Songo 9
0.2%
307 Bembe 5
0.1%
309 Negage 12
0.3%
311 Bungo 0
0%
313 Maquela do Zombo 14
0.3%
315 Damba 4
0.1%
317 Kangola 3
0.1%
319 Sanza Pombo 8
0.2%
321 Quitexe 3
0.1%
323 Quimbele 12
0.3%
325 Milunga (Santa Cruz) 6
0.1%
327 Puri 3
0.1%
329 Mucaba (ex. Quinzala) 0
0%
331 Buengas (ex Nova Esperança) 5
0.1%
409 Cazenga 110
2.6%
415 Cacuaco 178
4.3%
417 Viana 240
5.7%
419 Luanda 357
8.5%
421 Belas 195
4.7%
423 Icolo Bengo 12
0.3%
425 Quissama 0
0%
501 Cazengo 44
1.1%
503 Lucala 12
0.3%
505 Golungo Alto 6
0.1%
507 Kambambe 30
0.7%
509 Ambaca 21
0.5%
511 Kiculungo 3
0.1%
513 Bolongongo 9
0.2%
515 Banga 9
0.2%
517 Samba Caju 12
0.3%
519 Ngonguembo 1
0%
601 Sumbe 46
1.1%
603 Amboim (ex. Gabela) 41
1%
605 Quilenda 5
0.1%
607 Porto Amboim 27
0.6%
609 Libolo (ex. Calulo) 11
0.3%
611 Kibala 14
0.3%
613 Mussende 3
0.1%
615 Seles (ex. Uku Seles) 21
0.5%
617 Conda 12
0.3%
619 Cassongue 9
0.2%
621 Cela (ex Waku-Kungo) 20
0.5%
623 Ebo 20
0.5%
701 Malanje 83
2%
703 Cacuso 16
0.4%
705 Calandula 21
0.5%
707 Cambundi-Catembo 4
0.1%
709 Quela 4
0.1%
711 Kahombo 5
0.1%
713 Massango 9
0.2%
715 Luquembo 11
0.3%
717 Marimba 3
0.1%
719 Kunda-Dia-Baze 1
0%
721 Kirima 2
0%
723 Mucari 8
0.2%
725 Cangandala 2
0%
727 Kiwaba-N'Zogi 2
0%
801 Lucapa 27
0.6%
803 Cambulo 21
0.5%
805 Chitato 36
0.9%
807 Cuilo 4
0.1%
809 Caungula 2
0%
811 Cuango 36
0.9%
813 Lubalo 2
0%
815 Capenda-Camulemba 4
0.1%
817 Xá-Muteba 9
0.2%
901 Benguela 60
1.4%
903 Baía Farta 12
0.3%
905 Lobito 28
0.7%
907 Cubal 14
0.3%
909 Ganda 6
0.1%
911 Balombo 4
0.1%
913 Bocoio 5
0.1%
915 Caimbambo 10
0.2%
917 Chongoroi 3
0.1%
919 Catumbela 12
0.3%
1001 Huambo 58
1.4%
1003 Tchikala-Tcholohanga 1
0%
1005 Katchiungo 6
0.1%
1007 Bailundo 7
0.2%
1009 Caála 7
0.2%
1011 Ecunha 0
0%
1013 Ukuma 2
0%
1015 Longonjo 1
0%
1017 Mungo 2
0%
1019 Londuimbali 2
0%
1021 Tchinjenje 0
0%
1101 Kuito 68
1.6%
1103 Cunhinga (Vouga) 6
0.1%
1105 Chinguar 6
0.1%
1107 Andulo 26
0.6%
1109 Nharea 21
0.5%
1111 Camacupa 23
0.6%
1113 Cuemba 3
0.1%
1115 Chitembo 14
0.3%
1117 Catabola (ex. Nova Sintra) 22
0.5%
1201 Luena 84
2%
1203 Kamanongue 0
0%
1205 Leua 3
0.1%
1207 Luacano 0
0%
1209 Cameia 7
0.2%
1211 Bundas-Lumbala-Nguimbo 5
0.1%
1213 Luchazes 3
0.1%
1215 Alto Zambeze 14
0.3%
1217 Luau 9
0.2%
1301 Menongue 22
0.5%
1303 Kuito Cuanavale 0
0%
1305 Cuangar 0
0%
1307 Rivungo 3
0.1%
1309 Mavinga 0
0%
1311 Cuchi 4
0.1%
1313 Dirico 0
0%
1315 Nancova 1
0%
1317 Calai 0
0%
1401 Namibe 165
3.9%
1403 Tômbua (ex. Porto Alexandre) 18
0.4%
1405 Virei 9
0.2%
1407 Bibala 26
0.6%
1409 Kamucuio 6
0.1%
1501 Lubango 67
1.6%
1503 Cacula 6
0.1%
1505 Chibia 3
0.1%
1507 Caconda 4
0.1%
1509 Caluquembe 3
0.1%
1511 1
0%
1513 Cuvango 6
0.1%
1515 Quipungo 4
0.1%
1517 Matala 21
0.5%
1519 Chicomba 2
0%
1521 Jamba 0
0%
1523 Chipindo 4
0.1%
1525 Gambos ( ex-Chiange) 3
0.1%
1527 Humpata 2
0%
1601 Kwanhama 57
1.4%
1603 Ombadja (ex. Cuamato) 27
0.6%
1605 Kuvelai 5
0.1%
1607 Kuroca (ex.Oncocua) 3
0.1%
1609 Namacunde 26
0.6%
1611 Kahama 4
0.1%
1701 Saurimo 30
0.7%
1703 Muconda 0
0%
1705 Dala 2
0%
1707 Cacolo 3
0.1%
1801 Dande (Caxito) 240
5.7%
1807 Ambriz 11
0.3%
1809 Nambuangongo 29
0.7%
1811 Bula-Atumba 13
0.3%
1813 Dembos-Quibaxe 13
0.3%
1815 Pango-Aluquem 5
0.1%
Sysmiss 5940
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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