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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
Producer(s)
Instituto Nacional de Estatística (INE)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
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Município de Nascimento (S108)

Data file: FIDREA_ DADOS _QMA_Seccoes_01_a_09.dta

Overview

Valid: 7967
Invalid: 54452
Minimum: 101
Maximum: 1815
Type: Discrete
Decimal: 0
Start: 468
End: 477
Width: 10
Range: 101 - 1815
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999999999 missing 0
0%
101 Cabinda 70
0.9%
103 Cacongo (ex Lândana) 22
0.3%
105 Buco Zau 32
0.4%
107 Belize 22
0.3%
201 Mbanza Congo 109
1.4%
203 Soyo 70
0.9%
205 Nzetu 17
0.2%
207 Tomboco 15
0.2%
209 Nóqui 7
0.1%
211 Kuimba 29
0.4%
301 Uíge 95
1.2%
303 Ambuíla 6
0.1%
305 Songo 28
0.4%
307 Bembe 63
0.8%
309 Negage 60
0.8%
311 Bungo 18
0.2%
313 Maquela do Zombo 165
2.1%
315 Damba 136
1.7%
317 Kangola 21
0.3%
319 Sanza Pombo 44
0.6%
321 Quitexe 26
0.3%
323 Quimbele 61
0.8%
325 Milunga (Santa Cruz) 4
0.1%
327 Puri 14
0.2%
329 Mucaba (ex. Quinzala) 15
0.2%
331 Buengas (ex Nova Esperança) 19
0.2%
409 Cazenga 287
3.6%
415 Cacuaco 246
3.1%
417 Viana 218
2.7%
419 Luanda 279
3.5%
421 Belas 125
1.6%
423 Icolo Bengo 13
0.2%
425 Quissama 17
0.2%
501 Cazengo 45
0.6%
503 Lucala 15
0.2%
505 Golungo Alto 68
0.9%
507 Kambambe 29
0.4%
509 Ambaca 38
0.5%
511 Kiculungo 3
0%
513 Bolongongo 10
0.1%
515 Banga 14
0.2%
517 Samba Caju 13
0.2%
519 Ngonguembo 10
0.1%
601 Sumbe 79
1%
603 Amboim (ex. Gabela) 89
1.1%
605 Quilenda 5
0.1%
607 Porto Amboim 20
0.3%
609 Libolo (ex. Calulo) 64
0.8%
611 Kibala 50
0.6%
613 Mussende 37
0.5%
615 Seles (ex. Uku Seles) 13
0.2%
617 Conda 10
0.1%
619 Cassongue 31
0.4%
621 Cela (ex Waku-Kungo) 62
0.8%
623 Ebo 12
0.2%
701 Malanje 153
1.9%
703 Cacuso 72
0.9%
705 Calandula 138
1.7%
707 Cambundi-Catembo 25
0.3%
709 Quela 26
0.3%
711 Kahombo 34
0.4%
713 Massango 15
0.2%
715 Luquembo 41
0.5%
717 Marimba 26
0.3%
719 Kunda-Dia-Baze 9
0.1%
721 Kirima 9
0.1%
723 Mucari 8
0.1%
725 Cangandala 28
0.4%
727 Kiwaba-N'Zogi 14
0.2%
801 Lucapa 162
2%
803 Cambulo 52
0.7%
805 Chitato 89
1.1%
807 Cuilo 22
0.3%
809 Caungula 12
0.2%
811 Cuango 49
0.6%
813 Lubalo 49
0.6%
815 Capenda-Camulemba 33
0.4%
817 Xá-Muteba 39
0.5%
903 Baía Farta 42
0.5%
905 Lobito 204
2.6%
907 Cubal 44
0.6%
909 Ganda 100
1.3%
911 Balombo 17
0.2%
913 Bocoio 18
0.2%
915 Caimbambo 13
0.2%
917 Chongoroi 15
0.2%
919 Catumbela 55
0.7%
1001 Huambo 279
3.5%
1003 Tchikala-Tcholohanga 43
0.5%
1005 Katchiungo 62
0.8%
1007 Bailundo 120
1.5%
1009 Caála 141
1.8%
1011 Ecunha 28
0.4%
1013 Ukuma 47
0.6%
1015 Longonjo 55
0.7%
1017 Mungo 36
0.5%
1019 Londuimbali 34
0.4%
1021 Tchinjenje 12
0.2%
1101 Kuito 98
1.2%
1103 Cunhinga (Vouga) 18
0.2%
1105 Chinguar 47
0.6%
1107 Andulo 69
0.9%
1109 Nharea 36
0.5%
1111 Camacupa 72
0.9%
1113 Cuemba 30
0.4%
1115 Chitembo 59
0.7%
1117 Catabola (ex. Nova Sintra) 19
0.2%
1201 Luena 166
2.1%
1203 Kamanongue 16
0.2%
1205 Leua 17
0.2%
1207 Luacano 6
0.1%
1209 Cameia 18
0.2%
1211 Bundas-Lumbala-Nguimbo 13
0.2%
1213 Luchazes 8
0.1%
1215 Alto Zambeze 16
0.2%
1217 Luau 37
0.5%
1301 Menongue 49
0.6%
1303 Kuito Cuanavale 15
0.2%
1305 Cuangar 0
0%
1307 Rivungo 4
0.1%
1309 Mavinga 23
0.3%
1311 Cuchi 11
0.1%
1313 Dirico 1
0%
1315 Nancova 0
0%
1317 Calai 9
0.1%
1401 Namibe 55
0.7%
1403 Tômbua (ex. Porto Alexandre) 8
0.1%
1405 Virei 0
0%
1407 Bibala 7
0.1%
1409 Kamucuio 5
0.1%
1501 Lubango 428
5.4%
1503 Cacula 17
0.2%
1505 Chibia 49
0.6%
1507 Caconda 103
1.3%
1509 Caluquembe 127
1.6%
1513 Cuvango 46
0.6%
1515 Quipungo 61
0.8%
1517 Matala 134
1.7%
1519 Chicomba 34
0.4%
1521 Jamba 24
0.3%
1523 Chipindo 86
1.1%
1525 Gambos ( ex-Chiange) 19
0.2%
1527 Humpata 20
0.3%
1601 Kwanhama 16
0.2%
1603 Ombadja (ex. Cuamato) 10
0.1%
1605 Kuvelai 9
0.1%
1607 Kuroca (ex.Oncocua) 1
0%
1609 Namacunde 18
0.2%
1611 Kahama 13
0.2%
1701 Saurimo 115
1.4%
1703 Muconda 4
0.1%
1705 Dala 12
0.2%
1707 Cacolo 16
0.2%
1801 Dande (Caxito) 63
0.8%
1807 Ambriz 21
0.3%
1809 Nambuangongo 25
0.3%
1811 Bula-Atumba 8
0.1%
1813 Dembos-Quibaxe 14
0.2%
1815 Pango-Aluquem 2
0%
Sysmiss 54452
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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