First Integrated Household Survey 1997-1998
Malawi, 1997 - 1998
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
100356
Downloads
31036
- Data files
- accessc2
- adlteq
- asset2k2
- assetc2
- cashcrc2
- cnvertgm
- creditc2
- cropdiv
- deathsc2
- detervar
- diarcal
- diarpric
- diarstpl
- diary2k1
- diarycommoditygrp
- educc2
- empsrcc2
- fertilc2
- foodcrc2
- giftsc2
- gisvars
- healthc2
- hhexpc2
- hhfdrvc2
- hhs1997
- hhsize
- housec2
- ihs1_pov
- incsrcc2
- inpcshc2
- inpfdc2
- landc2
- litc2
- livprc2
- livstkc2
- migratc2
- month
- ncshnfc2
- nfarmc2
- nutric3
- occmsc2
- rosterc2
- strata
- timec2
- transc2
- updatemz
- v6586povstatus
- v10698povstatus
- vmonthcpi
- C01_GENINFO
- C02_INSTIT
- C04_SERVICES
- C05_FOODACC
- C06_INFRA
- C09_PRICE
- C10_PROGRAMS
- C13_CREDIT
- C15_RISK
- C16_CHANGE
- C18a_TRADERS
- C18b_CHOICE
- C19_AGCHANGE
- C20_LANDUSE
- C21_MAIZE
- C22_FARMRISK
District (district)
Data file: hhs1997
Overview
Valid:
708
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
1
End:
2
Width:
2
Range:
1 - 35
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Nsanje | 12 |
1.7%
|
| 2 | Chikwawa | 21 |
3%
|
| 3 | Mwanza | 12 |
1.7%
|
| 4 | Blantyre Rural | 24 |
3.4%
|
| 5 | Blantyre City | 60 |
8.5%
|
| 6 | Zomba Rural | 35 |
4.9%
|
| 7 | Zomba Municipality | 24 |
3.4%
|
| 8 | Thyolo | 36 |
5.1%
|
| 9 | Mulanje | 36 |
5.1%
|
| 10 | Phalombe | 12 |
1.7%
|
| 11 | Machinga | 35 |
4.9%
|
| 12 | Mangochi | 35 |
4.9%
|
| 13 | Chiradzulu | 24 |
3.4%
|
| 20 | Ntcheu | 19 |
2.7%
|
| 21 | Dedza | 24 |
3.4%
|
| 22 | Salima | 12 |
1.7%
|
| 23 | Lilongwe Rural | 60 |
8.5%
|
| 24 | Lilongwe City | 36 |
5.1%
|
| 25 | Mchinji | 24 |
3.4%
|
| 26 | Kasungu | 24 |
3.4%
|
| 27 | Dowa | 24 |
3.4%
|
| 28 | Ntchisi | 12 |
1.7%
|
| 29 | Nkhota-kota | 12 |
1.7%
|
| 30 | Mzimba | 24 |
3.4%
|
| 31 | Mzuzu City | 24 |
3.4%
|
| 32 | Nkhata-Bay | 12 |
1.7%
|
| 33 | Rumphi | 11 |
1.6%
|
| 34 | Karonga | 12 |
1.7%
|
| 35 | Chitipa | 12 |
1.7%
|
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.