Marriage Transitions in Malawi 2007-2009, Panel Data
Malawi, 2007 - 2009
Get Microdata
Reference ID
MWI_2007-2009_MTM_v01_M
Producer(s)
Kathleen Beegle
Created on
Jun 05, 2019
Last modified
Jun 06, 2019
Page views
283348
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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
TA name (cs1q03b)
Data file: hh3p1_cs
Overview
Valid:
1043
Invalid:
0
Type:
Discrete
Start:
35
End:
50
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BIBI KALUUNDA | 1 |
0.1%
|
|
| BIBI KULIWUDIDA | 1 |
0.1%
|
|
| BIBI KULIWUNDA | 2 |
0.2%
|
|
| BIBI KULUNDA | 10 |
1%
|
|
| BIBI KULUUNDA | 4 |
0.4%
|
|
| BIBI KULUWUNDA | 11 |
1.1%
|
|
| BIBI ULUNDA | 1 |
0.1%
|
|
| CHADZA | 1 |
0.1%
|
|
| CHAKHAZA | 2 |
0.2%
|
|
| CHIGALU | 1 |
0.1%
|
|
| CHIKOWI | 4 |
0.4%
|
|
| CHILOMONI | 1 |
0.1%
|
|
| CHIMUTU | 1 |
0.1%
|
|
| CHIMWALA | 3 |
0.3%
|
|
| CHISEPHERE | 1 |
0.1%
|
|
| CHITANTHA MAPIRI | 1 |
0.1%
|
|
| CHITUKULA | 4 |
0.4%
|
|
| CHIWELE | 3 |
0.3%
|
|
| CHIWERE | 2 |
0.2%
|
|
| DINDI | 2 |
0.2%
|
|
| DK | 9 |
0.9%
|
|
| GANYA | 2 |
0.2%
|
|
| KACHERE | 1 |
0.1%
|
|
| KACHINDAMOTO | 5 |
0.5%
|
|
| KALEMBO | 1 |
0.1%
|
|
| KALOLO | 3 |
0.3%
|
|
| KALONGA | 312 |
29.9%
|
|
| KALUMO | 1 |
0.1%
|
|
| KALUUNDA | 1 |
0.1%
|
|
| KAMBALAME | 32 |
3.1%
|
|
| KAMBALEME | 1 |
0.1%
|
|
| KAMBWILI | 3 |
0.3%
|
|
| KAMBWIRI | 68 |
6.5%
|
|
| KANYENDA | 1 |
0.1%
|
|
| KAOMBA | 2 |
0.2%
|
|
| KAPENI | 1 |
0.1%
|
|
| KAPHUKA | 1 |
0.1%
|
|
| KARONGA | 40 |
3.8%
|
|
| KASUMBU | 3 |
0.3%
|
|
| KAWAMBA | 1 |
0.1%
|
|
| KHOMBEDZA | 69 |
6.6%
|
|
| KHOMBEZA | 7 |
0.7%
|
|
| KULUUNDA | 2 |
0.2%
|
|
| KUNTAJA | 1 |
0.1%
|
|
| KUNTHEMBWE | 1 |
0.1%
|
|
| KWAMBWIRI | 1 |
0.1%
|
|
| LILONGWE | 1 |
0.1%
|
|
| MACHINJIRI | 4 |
0.4%
|
|
| MAGANGA | 99 |
9.5%
|
|
| MAKATA | 2 |
0.2%
|
|
| MAKWANGWALA | 1 |
0.1%
|
|
| MALENGA | 1 |
0.1%
|
|
| MALENGA CHANZA | 1 |
0.1%
|
|
| MALENGA CHANZI | 3 |
0.3%
|
|
| MALENGACHANZI | 1 |
0.1%
|
|
| MALILI | 6 |
0.6%
|
|
| MASUMBANKHUNDA | 1 |
0.1%
|
|
| MAZENGERA | 1 |
0.1%
|
|
| MISSING | 7 |
0.7%
|
|
| MKUKULA | 1 |
0.1%
|
|
| MLUMBE | 1 |
0.1%
|
|
| MNANZA | 1 |
0.1%
|
|
| MPONDA | 1 |
0.1%
|
|
| MSAMALA | 1 |
0.1%
|
|
| MSOSA | 23 |
2.2%
|
|
| MWADZAMA | 1 |
0.1%
|
|
| MWAMBO | 1 |
0.1%
|
|
| MWANSAMBO | 4 |
0.4%
|
|
| MWANZA | 24 |
2.3%
|
|
| MWASE | 2 |
0.2%
|
|
| MWAZA | 30 |
2.9%
|
|
| MWAZAMA | 1 |
0.1%
|
|
| NANKUMBA | 2 |
0.2%
|
|
| NDINDI | 105 |
10.1%
|
|
| NJEWA | 2 |
0.2%
|
|
| NJOLOMOLE | 1 |
0.1%
|
|
| NKHOMBEDZA | 3 |
0.3%
|
|
| NSAKAMBEWA | 1 |
0.1%
|
|
| NSOMBA | 1 |
0.1%
|
|
| NSOSA | 2 |
0.2%
|
|
| NYOKA | 1 |
0.1%
|
|
| PEMBA | 71 |
6.8%
|
|
| SITOLO | 1 |
0.1%
|
|
| TSABANGO | 7 |
0.7%
|
|
| WIMBE | 1 |
0.1%
|
|
| ZULU | 1 |
0.1%
|
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.