Inquérito de Indicadores Múltiplos e de Saúde 2015-16
Angola, 2015 - 2016
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Reference ID
AGO_2015_DHS_v01_M
Producer(s)
Instituto Nacional de Estatística (INE)
Collection(s)
Created on
Jul 27, 2017
Last modified
Jul 27, 2017
Page views
207426
Downloads
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- Data files
- RECH0
- RECH1
- RECH2
- RECH3
- RECH4
- RECH5
- RECH6
- RECHCH2
- RECHEM
- RECHMA
- RECHMH
- RECHML
- RECML
- REC01
- REC4A
- REC11
- REC21
- REC22
- REC31
- REC32
- REC41
- REC42
- REC43
- REC44
- REC51
- REC61
- REC71
- REC75
- REC80
- REC81
- REC82
- REC83
- REC84
- REC91
- REC94
- REC95
- RECDV
- MREC01
- MREC11
- MREC22
- MREC31
- MREC32
- MREC41
- MREC51
- MREC61
- MREC71
- MREC75
- MREC80
- MREC91
Stratification used in sample design (hv023)
Data file: RECH0
Overview
Type:
Discrete
Decimal:
0
Start:
69
End:
70
Width:
2
Range:
1 - 36
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Cabinda-Urban |
| 2 | Cabinda-Rural |
| 3 | Zaire-Urban |
| 4 | Zaire-Rural |
| 5 | Uíge-Urban |
| 6 | Uíge-Rural |
| 7 | Luanda-Urban |
| 8 | Luanda-Rural |
| 9 | Cuanza Norte-Urban |
| 10 | Cuanza Norte-Rural |
| 11 | Cuanza Sul-Urban |
| 12 | Cuanza Sul-Rural |
| 13 | Malanje-Urban |
| 14 | Malanje-Rural |
| 15 | Lunda Norte-Urban |
| 16 | Lunda Norte-Rural |
| 17 | Benguela-Urban |
| 18 | Benguela-Rural |
| 19 | Huambo-Urban |
| 20 | Huambo-Rural |
| 21 | Bié-Urban |
| 22 | Bié-Rural |
| 23 | Moxico-Urban |
| 24 | Moxico-Rural |
| 25 | Cuando Cubango-Urban |
| 26 | Cuando Cubango-Rural |
| 27 | Namibe-Urban |
| 28 | Namibe-Rural |
| 29 | Huíla-Urban |
| 30 | Huíla-Rural |
| 31 | Cunene-Urban |
| 32 | Cunene-Rural |
| 33 | Lunda Sul-Urban |
| 34 | Lunda Sul-Rural |
| 35 | Bengo-Urban |
| 36 | Bengo-Rural |
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.
Others
Notes
The stratification used in the sample design defines the basic geographic units within which the sample was designed. For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be selfweighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.