Rural Livelihood Survey 2012-2013, Round 4
Malawi, 2013
Get Microdata
Reference ID
MWI_2013_MRLS-R4_v01_M
Producer(s)
National Statistical Office (NSO)
Metadata
Created on
Mar 12, 2019
Last modified
Mar 12, 2019
Page views
132567
Downloads
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- Data files
- hh_aR4
- hh_b_c_d_eR4
- hh_e_cal_ganyuR4
- hh_e_caldayR4
- hh_g1R4
- hh_g2R4
- hh_g3R4
- hh_hR4
- hh_i1R4
- hh_i2R4
- hh_jR4
- hh_k2R4
- hh_kR4
- hh_lR4
- hh_mR4
- hh_q1R4
- hh_q2R4
- hh_rR4
- hh_sa_cal1R4
- hh_sa_cal2R4
- hh_sa1R4
- hh_sa2R4
- hh_sb_cal1R4
- hh_sb_cal2R4
- hh_sb1R4
- hh_sb2R4
- hh_uR4
- hh_x1R4
- hh_x2R4
- hh_yR4
- ag_1_2013_14R4
- ag_2_2013_14R4
- ag_3_2013_14R4
- ag_lR4
- ag_mR4
- cmty_coverR4
- cmty_pricesR4
Item Description (hh_l00)
Data file: hh_lR4
Overview
Valid:
5336
Invalid:
0
Type:
Discrete
Start:
12
End:
44
Width:
33
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Air conditioner | 22 |
0.4%
|
|
| Bed | 523 |
9.8%
|
|
| Beer-brewing drum | 80 |
1.5%
|
|
| Bicycle | 835 |
15.6%
|
|
| Car | 7 |
0.1%
|
|
| Chair | 762 |
14.3%
|
|
| Clock | 84 |
1.6%
|
|
| Coffee table (for sitting room) | 65 |
1.2%
|
|
| Computer equipment & accessories | 3 |
0.1%
|
|
| Cupboard, drawers, bureau | 31 |
0.6%
|
|
| Desk | 13 |
0.2%
|
|
| Electric or gas stove; hot plate | 10 |
0.2%
|
|
| Fan | 27 |
0.5%
|
|
| Generator | 11 |
0.2%
|
|
| Iron (for pressing clothes) | 100 |
1.9%
|
|
| Kerosene/paraffin stove | 2 |
0%
|
|
| Lantern (paraffin) | 75 |
1.4%
|
|
| Lorry | 6 |
0.1%
|
|
| Mini-bus | 1 |
0%
|
|
| Mortar/pestle (mtondo) | 952 |
17.8%
|
|
| Motorcycle/scooter | 38 |
0.7%
|
|
| Radio ('wireless') | 708 |
13.3%
|
|
| Refrigerator | 15 |
0.3%
|
|
| Sattelite dish | 17 |
0.3%
|
|
| Sewing machine | 34 |
0.6%
|
|
| Solar panel | 65 |
1.2%
|
|
| Table | 606 |
11.4%
|
|
| Tape or CD/DVD player; HiFi | 86 |
1.6%
|
|
| Television | 80 |
1.5%
|
|
| Upholstered chair, sofa set | 53 |
1%
|
|
| VCR | 9 |
0.2%
|
|
| Washing machine | 16 |
0.3%
|
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.