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
282571
Downloads
1705
- 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 (cs1q03a)
Data file: hh3p1_cs
Overview
Valid:
1043
Invalid:
1
Minimum:
1
Maximum:
31
Type:
Discrete
Decimal:
0
Start:
33
End:
34
Width:
2
Range:
1 - 31
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Balaka | 1 |
0.1%
|
| 2 | Blantyre | 12 |
1.2%
|
| 3 | Blantyre City | 1 |
0.1%
|
| 4 | Chikwawa | 0 |
0%
|
| 5 | Chiradzulu | 0 |
0%
|
| 6 | Chitipa | 0 |
0%
|
| 7 | Dedza | 13 |
1.2%
|
| 8 | Dowa | 8 |
0.8%
|
| 9 | Karonga | 0 |
0%
|
| 10 | Kasungu | 7 |
0.7%
|
| 11 | Likoma | 0 |
0%
|
| 12 | Lilongwe | 35 |
3.4%
|
| 13 | Lilongwe City | 3 |
0.3%
|
| 14 | Machinga | 2 |
0.2%
|
| 15 | Mangochi | 6 |
0.6%
|
| 16 | Mchinji | 2 |
0.2%
|
| 17 | Mulanje | 0 |
0%
|
| 18 | Mwanza | 0 |
0%
|
| 19 | Mzimba | 0 |
0%
|
| 20 | Mzuzu City | 0 |
0%
|
| 21 | Nkhata Bay | 0 |
0%
|
| 22 | Nkhotakota | 12 |
1.2%
|
| 23 | Nsanje | 0 |
0%
|
| 24 | Ntcheu | 4 |
0.4%
|
| 25 | Ntchisi | 1 |
0.1%
|
| 26 | Phalombe | 0 |
0%
|
| 27 | Rumphi | 0 |
0%
|
| 28 | Salima | 930 |
89.2%
|
| 29 | Thyolo | 0 |
0%
|
| 30 | Zomba | 3 |
0.3%
|
| 31 | Zomba City | 3 |
0.3%
|
| Sysmiss | 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.