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
Respondent's TA (t3d)
Data file: pi2_tf
Overview
Valid:
213
Invalid:
0
Type:
Discrete
Start:
68
End:
86
Width:
19
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| AREA 49 | 1 |
0.5%
|
|
| BIBI KALUWUNDA | 1 |
0.5%
|
|
| BIBI KUKULUUNDA | 1 |
0.5%
|
|
| BIBI KULIWUNDA | 1 |
0.5%
|
|
| BIBI KULUWUNDA | 1 |
0.5%
|
|
| CHAKHAZA | 3 |
1.4%
|
|
| CHIKOWI | 1 |
0.5%
|
|
| CHIKUMBU | 1 |
0.5%
|
|
| CHIMWALA | 1 |
0.5%
|
|
| CHINSAPO | 1 |
0.5%
|
|
| CHIWELE | 1 |
0.5%
|
|
| DAMBE | 1 |
0.5%
|
|
| DK | 114 |
53.5%
|
|
| EDINGENI | 1 |
0.5%
|
|
| GOODSON GANYA | 1 |
0.5%
|
|
| KABUNDULI | 1 |
0.5%
|
|
| KACHINDAMOTO | 1 |
0.5%
|
|
| KALOLO | 3 |
1.4%
|
|
| KALONGA | 14 |
6.6%
|
|
| KAMBALAME | 1 |
0.5%
|
|
| KAMBWIRI | 1 |
0.5%
|
|
| KAMPHINDA | 1 |
0.5%
|
|
| KANINGA | 1 |
0.5%
|
|
| KANYENDA | 1 |
0.5%
|
|
| KAOMBA | 1 |
0.5%
|
|
| KAONGA | 1 |
0.5%
|
|
| KAPHATENGA | 1 |
0.5%
|
|
| KAPONYADELA | 1 |
0.5%
|
|
| KARONGA | 1 |
0.5%
|
|
| KASUMBU | 1 |
0.5%
|
|
| KATULI | 1 |
0.5%
|
|
| KAYENDA | 1 |
0.5%
|
|
| KHOMBEDZA | 5 |
2.3%
|
|
| KLONGA | 1 |
0.5%
|
|
| KWATAINE | 1 |
0.5%
|
|
| MABUKA | 1 |
0.5%
|
|
| MACHINJIRI | 1 |
0.5%
|
|
| MAGANGA | 6 |
2.8%
|
|
| MAKHWILA | 1 |
0.5%
|
|
| MALENGA CHANZI | 1 |
0.5%
|
|
| MALENGACHZI | 1 |
0.5%
|
|
| MALILI | 1 |
0.5%
|
|
| MALINGUNDE | 1 |
0.5%
|
|
| MDUWA | 1 |
0.5%
|
|
| MLONYENI | 1 |
0.5%
|
|
| MPHANDE | 1 |
0.5%
|
|
| MPONDA | 1 |
0.5%
|
|
| MWADZAMA | 2 |
0.9%
|
|
| MWANSAMBO | 1 |
0.5%
|
|
| MWANZA | 2 |
0.9%
|
|
| MWASAMBO | 1 |
0.5%
|
|
| MWASE | 1 |
0.5%
|
|
| MZIKUBOLA | 1 |
0.5%
|
|
| NDINDI | 5 |
2.3%
|
|
| NKHOMBEDZA | 1 |
0.5%
|
|
| NSAMALA | 1 |
0.5%
|
|
| NSUNDWE | 1 |
0.5%
|
|
| PEMBA | 3 |
1.4%
|
|
| SOMBA | 4 |
1.9%
|
|
| TCHENACHENA TC | 1 |
0.5%
|
|
| TSABANGO | 2 |
0.9%
|
|
| WANSAMBO MWAFULIRWA | 1 |
0.5%
|
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.