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
District of birth (s1q06)
Data file: p1_s1
Overview
Valid:
6572
Invalid:
0
Type:
Discrete
Start:
39
End:
50
Width:
12
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BALAKA | 27 |
0.4%
|
|
| BLANTYRE | 125 |
1.9%
|
|
| BURUNDI | 3 |
0%
|
|
| CHIKWAWA | 9 |
0.1%
|
|
| CHILUMBA | 3 |
0%
|
|
| CHIRADZULU | 18 |
0.3%
|
|
| CHITIPA | 10 |
0.2%
|
|
| DEDZA | 189 |
2.9%
|
|
| DOWA | 134 |
2%
|
|
| DWANGWA | 1 |
0%
|
|
| KARONGA | 31 |
0.5%
|
|
| KASUNGU | 66 |
1%
|
|
| LIKOMA | 12 |
0.2%
|
|
| LILONGWE | 418 |
6.4%
|
|
| LIWONDE | 5 |
0.1%
|
|
| MACHINGA | 29 |
0.4%
|
|
| MANGOCHI | 127 |
1.9%
|
|
| MCHINJI | 62 |
0.9%
|
|
| MISSING/DK | 6 |
0.1%
|
|
| MONKEYBAY | 4 |
0.1%
|
|
| MOZAMBIQUE | 18 |
0.3%
|
|
| MULANJE | 36 |
0.5%
|
|
| MWANZA | 15 |
0.2%
|
|
| MZIMBA | 20 |
0.3%
|
|
| MZUZU | 11 |
0.2%
|
|
| NENO | 1 |
0%
|
|
| NKHATA BAY | 35 |
0.5%
|
|
| NKHOTAKOTA | 91 |
1.4%
|
|
| NSANJE | 22 |
0.3%
|
|
| NTCHEU | 104 |
1.6%
|
|
| NTCHISI | 22 |
0.3%
|
|
| PHALOMBE | 4 |
0.1%
|
|
| RUMPHI | 6 |
0.1%
|
|
| RWANDA | 1 |
0%
|
|
| SALIMA | 4761 |
72.4%
|
|
| SOUTH AFRICA | 2 |
0%
|
|
| TANZANIA | 2 |
0%
|
|
| THYOLO | 44 |
0.7%
|
|
| ZAMBIA | 13 |
0.2%
|
|
| ZIMBABWE | 33 |
0.5%
|
|
| ZOMBA | 52 |
0.8%
|
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.