First Integrated Household Survey 1997-1998
Malawi, 1997 - 1998
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
153915
Downloads
36182
- 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: creditc2
Overview
Valid:
1831
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 | 27 |
1.5%
|
| 2 | chikwawa | 49 |
2.7%
|
| 3 | mwanza | 0 |
0%
|
| 4 | blantyre rural | 40 |
2.2%
|
| 5 | blantyre city | 39 |
2.1%
|
| 6 | zomba rural | 94 |
5.1%
|
| 7 | zomba municipality | 52 |
2.8%
|
| 8 | thyolo | 150 |
8.2%
|
| 9 | mulanje | 72 |
3.9%
|
| 10 | phalombe | 12 |
0.7%
|
| 11 | machinga | 65 |
3.5%
|
| 12 | mangochi | 131 |
7.2%
|
| 13 | chiradzulu | 59 |
3.2%
|
| 20 | ntcheu | 56 |
3.1%
|
| 21 | dedza | 117 |
6.4%
|
| 22 | salima | 117 |
6.4%
|
| 23 | lilongwe rural | 127 |
6.9%
|
| 24 | lilongwe city | 56 |
3.1%
|
| 25 | mchinji | 119 |
6.5%
|
| 26 | kasungu | 87 |
4.8%
|
| 27 | dowa | 136 |
7.4%
|
| 28 | ntchisi | 8 |
0.4%
|
| 29 | nkhota-kota | 26 |
1.4%
|
| 30 | mzimba | 133 |
7.3%
|
| 31 | mzuzu city | 10 |
0.5%
|
| 32 | nkhata-bay | 27 |
1.5%
|
| 33 | rumphi | 6 |
0.3%
|
| 34 | karonga | 3 |
0.2%
|
| 35 | chitipa | 13 |
0.7%
|
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.