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
Specify other place where partner was usually living, 2 (s14q17_s_2)
Data file: p2_s14a
Overview
Valid:
212
Invalid:
0
Type:
Discrete
Start:
111
End:
125
Width:
15
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 999999999999999 | 3 |
1.4%
|
|
| ADMARC CHIKOMBE | 1 |
0.5%
|
|
| AT SCHOOL | 1 |
0.5%
|
|
| BLANTYRE | 9 |
4.2%
|
|
| BOMA | 1 |
0.5%
|
|
| CHAGWA | 1 |
0.5%
|
|
| CHANIKA | 1 |
0.5%
|
|
| CHEMBE | 1 |
0.5%
|
|
| CHENYAMA | 1 |
0.5%
|
|
| CHIBENTHU | 2 |
0.9%
|
|
| CHIBUKA | 1 |
0.5%
|
|
| CHIBULO | 1 |
0.5%
|
|
| CHIDONGA | 1 |
0.5%
|
|
| CHIGOMBE | 1 |
0.5%
|
|
| CHIKHUTU | 1 |
0.5%
|
|
| CHIKULU | 1 |
0.5%
|
|
| CHIKULUTI | 1 |
0.5%
|
|
| CHIKUMBA | 1 |
0.5%
|
|
| CHIKWAWA | 1 |
0.5%
|
|
| CHIMBALA | 1 |
0.5%
|
|
| CHIMBALANGA | 1 |
0.5%
|
|
| CHIMENYA | 1 |
0.5%
|
|
| CHIMUVI | 1 |
0.5%
|
|
| CHINDUGWA | 1 |
0.5%
|
|
| CHINGONDO | 1 |
0.5%
|
|
| CHINUNGU | 2 |
0.9%
|
|
| CHINYAMUNYAMU | 1 |
0.5%
|
|
| CHIPHARA | 1 |
0.5%
|
|
| CHIPHOLE | 1 |
0.5%
|
|
| CHIPOKA | 2 |
0.9%
|
|
| CHISAMBA | 1 |
0.5%
|
|
| CHISANI | 1 |
0.5%
|
|
| CHITHIBA | 1 |
0.5%
|
|
| CHITSULO | 1 |
0.5%
|
|
| CHITUWILE | 1 |
0.5%
|
|
| CHIUNDA | 1 |
0.5%
|
|
| CHIWAULA | 1 |
0.5%
|
|
| CHONDE | 1 |
0.5%
|
|
| DANIEL | 1 |
0.5%
|
|
| DEDZA | 4 |
1.9%
|
|
| DOWA | 3 |
1.4%
|
|
| DZOOLE | 1 |
0.5%
|
|
| ELSE WHERE | 1 |
0.5%
|
|
| FUTI | 2 |
0.9%
|
|
| GOMANI | 1 |
0.5%
|
|
| JARUVU | 1 |
0.5%
|
|
| KACHULE | 1 |
0.5%
|
|
| KACHULU | 1 |
0.5%
|
|
| KAMBUKU | 1 |
0.5%
|
|
| KAMBWIRI | 3 |
1.4%
|
|
| KAMUZU ROAD | 3 |
1.4%
|
|
| KANDULU | 1 |
0.5%
|
|
| KANKHOBWA | 1 |
0.5%
|
|
| KANTCHENEMBA | 1 |
0.5%
|
|
| KAPHATIKA | 1 |
0.5%
|
|
| KAPICHIRA | 1 |
0.5%
|
|
| KARONGA | 1 |
0.5%
|
|
| KASUNGU | 2 |
0.9%
|
|
| KATSICHI | 1 |
0.5%
|
|
| KAUMBANG'OMBE | 1 |
0.5%
|
|
| KHATABAY | 1 |
0.5%
|
|
| KHOMBEDZA | 1 |
0.5%
|
|
| KHOMBEZA | 1 |
0.5%
|
|
| KHWALUWALU | 1 |
0.5%
|
|
| KUCHASA | 1 |
0.5%
|
|
| KUNDEGE | 1 |
0.5%
|
|
| LIFIDZI | 1 |
0.5%
|
|
| LIKONGWE | 1 |
0.5%
|
|
| LILONGWE | 10 |
4.7%
|
|
| LIMBE | 1 |
0.5%
|
|
| LIMBE IN SALIMA | 1 |
0.5%
|
|
| LUNDU | 1 |
0.5%
|
|
| MACHINJIRI | 1 |
0.5%
|
|
| MADISI | 1 |
0.5%
|
|
| MAFUPA | 1 |
0.5%
|
|
| MAGANGA | 4 |
1.9%
|
|
| MALIMBA | 3 |
1.4%
|
|
| MANGOCHI | 2 |
0.9%
|
|
| MANGWE | 1 |
0.5%
|
|
| MANGWELE | 1 |
0.5%
|
|
| MANONG'A | 1 |
0.5%
|
|
| MANYENJE | 3 |
1.4%
|
|
| MAPLOT | 1 |
0.5%
|
|
| MATIKA | 1 |
0.5%
|
|
| MAWALA | 1 |
0.5%
|
|
| MAWERU | 1 |
0.5%
|
|
| MAZOMBO | 1 |
0.5%
|
|
| MAZOMBWE | 1 |
0.5%
|
|
| MBALAME | 1 |
0.5%
|
|
| MBOLELA | 1 |
0.5%
|
|
| MCHENGA | 2 |
0.9%
|
|
| MCHINGA | 1 |
0.5%
|
|
| MGAWI | 1 |
0.5%
|
|
| MICHEMBO | 1 |
0.5%
|
|
| MILIMA | 1 |
0.5%
|
|
| MILIMBO | 1 |
0.5%
|
|
| MKWELO | 1 |
0.5%
|
|
| MONGA | 1 |
0.5%
|
|
| MONGWE | 1 |
0.5%
|
|
| MOZAMBIQUE | 1 |
0.5%
|
|
| MPANJE | 1 |
0.5%
|
|
| MPHELE | 1 |
0.5%
|
|
| MPONELA | 1 |
0.5%
|
|
| MPUNDU | 1 |
0.5%
|
|
| MSANYAMA | 1 |
0.5%
|
|
| MSOSA | 1 |
0.5%
|
|
| MSUSA | 1 |
0.5%
|
|
| MTAMBO | 2 |
0.9%
|
|
| MTONGA | 1 |
0.5%
|
|
| MTSEKWE | 1 |
0.5%
|
|
| MWINIBWALO | 1 |
0.5%
|
|
| MZUZU | 2 |
0.9%
|
|
| NACHIDZE | 1 |
0.5%
|
|
| NAMANJIKA | 2 |
0.9%
|
|
| NAWANGA | 1 |
0.5%
|
|
| NDIWO | 2 |
0.9%
|
|
| NGODZI | 1 |
0.5%
|
|
| NGOKO | 2 |
0.9%
|
|
| NGOLOWINDO | 2 |
0.9%
|
|
| NGOMA | 2 |
0.9%
|
|
| NGWENA | 1 |
0.5%
|
|
| NGWILIZE | 1 |
0.5%
|
|
| NKHATABAY | 1 |
0.5%
|
|
| NKHOMBEDZA | 1 |
0.5%
|
|
| NKHWALI | 1 |
0.5%
|
|
| NSANGU | 2 |
0.9%
|
|
| NSANJE | 1 |
0.5%
|
|
| NTAKATAKA | 1 |
0.5%
|
|
| NTHENGA | 1 |
0.5%
|
|
| NTHIWATIWA | 1 |
0.5%
|
|
| NYANGULU | 1 |
0.5%
|
|
| PAULO | 1 |
0.5%
|
|
| PROJECT | 3 |
1.4%
|
|
| SAIDI | 2 |
0.9%
|
|
| SALIMA | 5 |
2.4%
|
|
| SALIMA BOMA | 1 |
0.5%
|
|
| SANDU | 1 |
0.5%
|
|
| SANKHULANI | 1 |
0.5%
|
|
| SAPATO | 1 |
0.5%
|
|
| SEKETENI | 1 |
0.5%
|
|
| SIMAYIWA | 1 |
0.5%
|
|
| SOMPHO | 1 |
0.5%
|
|
| SOSOLA | 1 |
0.5%
|
|
| SUZI | 1 |
0.5%
|
|
| TAKOMANA | 2 |
0.9%
|
|
| TAKUMANA | 1 |
0.5%
|
|
| TEMBWE | 1 |
0.5%
|
|
| THAVITE SALIMA | 1 |
0.5%
|
|
| THAWALE | 1 |
0.5%
|
|
| TRADING | 1 |
0.5%
|
|
| YONAMU | 1 |
0.5%
|
|
| ZAIRI VILLAGE | 1 |
0.5%
|
|
| ZERO POINT | 1 |
0.5%
|
|
| ZIYAYA | 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.