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    Home / Central Data Catalog / AGO-INE-IIMS-2015 / variable [F3]
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Inquérito de Indicadores Múltiplos e de Saúde (IIMS) - 2015-2016

Angola
Instituto Nacional de Estatística, Ministério da Saúde (MINSA)
Created on August 11, 2021 Last modified August 11, 2021 Page views 135314 Download 987 Study website Metadata DDI/XML JSON
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CSV JSON

Sampling errors stratum (QHSTRATA)

Data file: HOUSHOLDS

Overview

Valid: 16109
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Width: 4
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Cabinda-Urban 688
4.3%
2 Cabinda-Rural 154
1%
3 Zaire-Urban 618
3.8%
4 Zaire-Rural 234
1.5%
5 Uíge-Urban 258
1.6%
6 Uíge-Rural 597
3.7%
7 Luanda-Urban 1599
9.9%
8 Luanda-Rural 77
0.5%
9 Cuanza Norte-Urban 468
2.9%
10 Cuanza Norte-Rural 390
2.4%
11 Cuanza Sul-Urban 281
1.7%
12 Cuanza Sul-Rural 559
3.5%
13 Malanje-Urban 389
2.4%
14 Malanje-Rural 468
2.9%
15 Lunda Norte-Urban 519
3.2%
16 Lunda Norte-Rural 338
2.1%
17 Benguela-Urban 546
3.4%
18 Benguela-Rural 305
1.9%
19 Huambo-Urban 352
2.2%
20 Huambo-Rural 494
3.1%
21 Bié-Urban 311
1.9%
22 Bié-Rural 546
3.4%
23 Moxico-Urban 387
2.4%
24 Moxico-Rural 441
2.7%
25 Cuando Cubango-Urban 442
2.7%
26 Cuando Cubango-Rural 411
2.6%
27 Namibe-Urban 543
3.4%
28 Namibe-Rural 312
1.9%
29 Huíla-Urban 312
1.9%
30 Huíla-Rural 546
3.4%
31 Cunene-Urban 232
1.4%
32 Cunene-Rural 585
3.6%
33 Lunda Sul-Urban 623
3.9%
34 Lunda Sul-Rural 234
1.5%
35 Bengo-Urban 305
1.9%
36 Bengo-Rural 545
3.4%
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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