Marriage Transitions in Malawi 2007-2009, Panel Data
Malawi, 2007 - 2009
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
- hh2_cmty
- hh2_divorce
- hh2_mkts_foodprices
- hh2_mkts_hlthfac
- hh2_mkts_location
- hh2_mortality
- hh2_tf
- hh2_vct
- hh2p1_cs
- hh2p1_s1
- hh2p1_s2
- hh2p1_s3
- hh2p1_s4
- hh2p1_s5
- hh2p1_s6
- hh2p1_s7
- hh2p1_s8
- hh2p2_cs
- hh2p2_s9
- hh2p2_s10
- hh2p2_s11
- hh2p2_s12
- hh2p2_s13
- hh2p2_s13a
- hh2p2_s14
- hh2p3_cs
- hh2p3_s15
- hh2p3_s16
- hh2p3_s17
- hh2p3_s18
- hh2p3_s19
- hh2p3_s19a
- hh2p3_s20
- hh3_cmty
- hh3_health
- hh3_market_mids
- hh3_market_ms1
- hh3_mortality
- hh3_tf
- hh3_vct
- hh3p1_cs
- hh3p1_s1
- hh3p1_s2
- hh3p1_s3
- hh3p1_s4
- hh3p1_s4b
- hh3p1_s5
- hh3p1_s6
- hh3p1_s8
- hh3p2_cs
- hh3p2_s9
- hh3p2_s10
- hh3p2_s11
- hh3p2_s11b
- hh3p2_s12
- hh3p2_s12b
- hh3p2_s12c
- hh3p2_s13a
- hh3p2_s13b
- hh3p2_s13c
- hh3p2_s13c2
- hh3p2_s14
- hh3p3_cs
- hh3p3_s15
- hh3p3_s16
- hh3p3_s17
- hh3p3_s17b
- hh3p3_s18
- hh3p3_s18b
- hh3p3_s18c
- hh3p3_s19
- hh3p3_s19b
- hh3p3_s20
- mkts_foodprices
- mkts_hlthfac
- mkts_location
- p1_cs
- p1_s1
- p1_s2
- p1_s3
- p1_s4
- p1_s5
- p1_s6
- p1_s7
- p1_s8
- p2_cs
- p2_s9
- p2_s10
- p2_s11
- p2_s12
- p2_s13
- p2_s14
- p2_s14a
- p2_s15
- pi_cs
- pi_mortality
- pi_s1
- pi_s2
- pi_s3
- pi_s4
- pi_s5
- pi_s5a
- pi_s6
- pi_tf
- pi2_cs
- pi2_s1
- pi2_s2
- pi2_s3
- pi2_s3b
- pi2_s4
- pi2_s5
- pi2_s5a
- pi2_s6a
- pi2_s6b
- pi2_s7
- pi2_s7check
- pi2_tf
- ptrack_public
Where was [...] usually living while you were in a relations (s5q15_s_1)
Data file: pi_s5a
Overview
Valid:
21
Invalid:
0
Type:
Discrete
Start:
75
End:
88
Width:
14
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BLANTYRE | 1 |
4.8%
|
|
| DOWA | 1 |
4.8%
|
|
| IN HER VILLAGE | 1 |
4.8%
|
|
| KACHITSA | 1 |
4.8%
|
|
| KALINO VILLAGE | 1 |
4.8%
|
|
| KAZIMBE | 1 |
4.8%
|
|
| LILONGWE | 4 |
19%
|
|
| MPUTENI | 1 |
4.8%
|
|
| MWAZA | 1 |
4.8%
|
|
| NKHATABAY | 1 |
4.8%
|
|
| NTHANDA | 1 |
4.8%
|
|
| SALIMA | 4 |
19%
|
|
| SALIMA BOMA | 1 |
4.8%
|
|
| SENGABAY | 1 |
4.8%
|
|
| TA KALONGA | 1 |
4.8%
|
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.