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
249149
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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
Three most important issues facing the community, 2nd listed (cbq18_2)
Data file: hh2_cmty
Overview
Valid:
71
Invalid:
0
Type:
Discrete
Start:
158
End:
182
Width:
25
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| AGRICULTURE INPUTS | 1 |
1.4%
|
|
| BOREHOLES | 4 |
5.6%
|
|
| BOREHOLES FOR DRINK WATER | 1 |
1.4%
|
|
| BOREHOLES FOR SAFEWATER | 1 |
1.4%
|
|
| CHILDREN DROPPRD SCHOOL | 1 |
1.4%
|
|
| COMMUNITY DEVELOPMENT | 1 |
1.4%
|
|
| DEFORESTATION | 1 |
1.4%
|
|
| DISTRIBUTION OF FERTILISE | 1 |
1.4%
|
|
| FARM INPUTS | 1 |
1.4%
|
|
| FEW LIVESTOCK IN THE AREA | 1 |
1.4%
|
|
| FOOD | 2 |
2.8%
|
|
| FOOD SHORTAGE DUE RAINS | 1 |
1.4%
|
|
| GOOD ROADS AND BRIDGES | 1 |
1.4%
|
|
| HOSPITAL/CLINIC | 1 |
1.4%
|
|
| HUNGER | 3 |
4.2%
|
|
| HUNGER,LACK OF FERTILIZER | 1 |
1.4%
|
|
| HUNGER,NO IRRIGATION SYST | 1 |
1.4%
|
|
| ILITERACY | 1 |
1.4%
|
|
| ILLITERATE OF LOCALLEADER | 1 |
1.4%
|
|
| IRRIGATION SCHEME | 2 |
2.8%
|
|
| IRRIGATION SCHEMES | 1 |
1.4%
|
|
| IRRIGATION SYSTEM | 1 |
1.4%
|
|
| JUNIOR PRIMARY SCHOOL | 1 |
1.4%
|
|
| LACK OF AGRICULTURALINPUT | 1 |
1.4%
|
|
| LACK OF AGRICULTURE INPUT | 1 |
1.4%
|
|
| LACK OF CLEAN WATER | 1 |
1.4%
|
|
| LACK OF DEV WORKERS | 1 |
1.4%
|
|
| LACK OF DISTANCE TO HEALT | 1 |
1.4%
|
|
| LACK OF ENOUGH FERTILIZER | 1 |
1.4%
|
|
| LACK OF FARM INPUTS | 1 |
1.4%
|
|
| LACK OF GOOD SCHOOL FACIL | 1 |
1.4%
|
|
| LACK OF HEALTH FACILITY | 1 |
1.4%
|
|
| LACK OF LAND FOR CULTIVAT | 1 |
1.4%
|
|
| LACK OF LOAN LENDERS | 1 |
1.4%
|
|
| LACK OF MEDICINE,DEATH | 1 |
1.4%
|
|
| LACK OF SAFE DRINKING WAT | 1 |
1.4%
|
|
| LACK OF SCHOOL | 1 |
1.4%
|
|
| LACK OF TAPS | 1 |
1.4%
|
|
| LIVESTOCK SOURCE OF INCOM | 1 |
1.4%
|
|
| LOANS FOR BUSINESS | 1 |
1.4%
|
|
| LOANS FOR SMALL BUSINESES | 1 |
1.4%
|
|
| LONG DIST TO HEALTH FACIL | 1 |
1.4%
|
|
| LONG DISTANCE | 1 |
1.4%
|
|
| MAIZE MILL FOR ORPHANS | 1 |
1.4%
|
|
| NO CIVIC EDUCATION | 1 |
1.4%
|
|
| NO NEED FOR DEVELOPMENT | 1 |
1.4%
|
|
| ORPHAN CARE SUPPORT | 1 |
1.4%
|
|
| PESTS | 1 |
1.4%
|
|
| POOR ROAD NETWORKS | 1 |
1.4%
|
|
| POOR ROADS | 1 |
1.4%
|
|
| POVERTY | 3 |
4.2%
|
|
| PRIMARY SCHOOL | 1 |
1.4%
|
|
| SCHOOL PRIMARY,NURSERY | 1 |
1.4%
|
|
| SHORTAGE OF BOREHOLES | 1 |
1.4%
|
|
| SHORTAGE OF FOOD | 1 |
1.4%
|
|
| SMALL LOANS | 2 |
2.8%
|
|
| UNFINISHED PROJECTS | 1 |
1.4%
|
|
| UNMAINTAINED ROADS | 1 |
1.4%
|
|
| WATER PROBLEM | 1 |
1.4%
|
|
| WATER PUMPS-IRRIGATION | 1 |
1.4%
|
|
| WATER SHORTAGE | 1 |
1.4%
|
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.