Demographic and Health Survey 2002-2003
Indonesia, 2003
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Reference ID
IDN_2002_DHS_v01_M
Producer(s)
Statistics Indonesia (BPS), National Family Planning Coordinating Board (NFPCB), Ministry of Health
Collection(s)
Metadata
Created on
Feb 26, 2013
Last modified
Jun 06, 2017
Page views
72152
Downloads
518
Sample domain (v023)
Data file: REC01
Overview
Valid:
29996
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
95
End:
96
Width:
2
Range:
11 - 93
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | DI Aceh | 0 |
0%
|
| 12 | North Sumatra | 1403 |
4.7%
|
| 13 | West Sumatra | 1130 |
3.8%
|
| 14 | Riau | 1170 |
3.9%
|
| 15 | Jambi | 1035 |
3.5%
|
| 16 | South Sumatra | 1247 |
4.2%
|
| 17 | Bengkulu | 879 |
2.9%
|
| 18 | Lampung | 1066 |
3.6%
|
| 19 | Bangka Belitung | 663 |
2.2%
|
| 31 | DKI Jakarta | 1901 |
6.3%
|
| 32 | West Java | 1680 |
5.6%
|
| 33 | Central Java | 1599 |
5.3%
|
| 34 | DI Yogyakarta | 1043 |
3.5%
|
| 35 | East Java | 1537 |
5.1%
|
| 36 | Banten | 1398 |
4.7%
|
| 51 | Bali | 1388 |
4.6%
|
| 52 | West Nusa Tenggara | 967 |
3.2%
|
| 53 | East Nusa Tenggara | 856 |
2.9%
|
| 54 | East Timor | 0 |
0%
|
| 61 | West Kalimantan | 959 |
3.2%
|
| 62 | Central Kalimantan | 912 |
3%
|
| 63 | South Kalimantan | 1039 |
3.5%
|
| 64 | East Kalimantan | 850 |
2.8%
|
| 71 | North Sulawesi | 1070 |
3.6%
|
| 72 | Cenrtal Sulawesi | 1021 |
3.4%
|
| 73 | South Sulawesi | 1121 |
3.7%
|
| 74 | Southeast Sulawesi | 1034 |
3.4%
|
| 75 | Gorontalo | 1028 |
3.4%
|
| 81 | Maluku | 0 |
0%
|
| 93 | Irian Jaya | 0 |
0%
|
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
Sample domain 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 self-weighting 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.