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lsms

Integrated Household Panel Survey 2010-2013-2016-2019 (Long-Term Panel, 102 EAs)

Malawi, 2010 - 2019
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Reference ID
MWI_2010-2019_IHPS_v06_M
DOI
https://doi.org/10.48529/q5q1-2a34
Producer(s)
National Statistical Office (NSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 07, 2020
Last modified
Jul 30, 2021
Page views
617454
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23431

Description of Events (com_cg35b)

Data file: com_mod_cg_16

Overview

Valid: 656
Type: Discrete
Start: 12
End: 116
Width: 105
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
"CBO Construction " 1
0.2%
"Community Day Sec. School " 1
0.2%
"Crop Failure " 1
0.2%
"Crop's Disease " 1
0.2%
"Distribution of Mosquito nets " 1
0.2%
"ERATIC RAINFALL " 1
0.2%
"Floods " 1
0.2%
"Floods " 1
0.2%
"Introduction of nursery school, town planning " 1
0.2%
"Price fluctuations, " 1
0.2%
"Road mentainance " 2
0.3%
"Roads " 1
0.2%
"Shortage of water and electricity " 1
0.2%
"coming of electricity " 1
0.2%
"crops failure " 1
0.2%
"new boreholes " 1
0.2%
0 1
0.2%
ADDITIONAL PRIMARY SCHOOL BLOCK 1
0.2%
Adra project 1
0.2%
Animal diseases 1
0.2%
Asmark 1
0.2%
Availability of market 1
0.2%
Availability of medicines in Govt Hospital 1
0.2%
Availability of transport (motor cycle) 1
0.2%
BOREHOLES 1
0.2%
BRIDGE CONSTRUCTION 1
0.2%
BRIDGE CONSTRUCTON 1
0.2%
Bank Mnkhonde 1
0.2%
Block leaders 1
0.2%
Borehole water 1
0.2%
Borehole Drilled in the Community 1
0.2%
Boreholes 1
0.2%
Bridge Construction 3
0.5%
Building New Teacher's House 1
0.2%
Building of school block 1
0.2%
CLIMATE change 1
0.2%
CONSTRUCTION OF SCHOOL HALL 1
0.2%
CONSTRUCTION OF SILOS WHICH LED TO EMPLOYMENT OPPORTUNITY 1
0.2%
CONSTRUCTION OF AN UNDER FIVE CLINIC. 1
0.2%
CONSTRUCTION OF BEACH IN THE AREA. 1
0.2%
CONSTRUCTION OF HEADMASTER HOUSE 1
0.2%
CONSTRUCTION OF HEADMASTER'S HOUSE 1
0.2%
CONSTRUCTION OF NEW ROAD 1
0.2%
CONSTRUCTION OF SCHOOL BLOCK 1
0.2%
CONSTRUCTION OF THE ROAD 1
0.2%
CONSTRUCTOR OF ROAD 1
0.2%
CROP FAILURES 3
0.5%
CROP FAITURES 1
0.2%
CROP PEST AND DISEASES 1
0.2%
Careless cutting down of trees 1
0.2%
Climate change 1
0.2%
Coming of Masaf 1
0.2%
Construction of 3 new school blocks 1
0.2%
Construction of new school toilets 1
0.2%
Construction of school toilets 1
0.2%
Construction of tar road 1
0.2%
Construction of teachers houses 1
0.2%
Contraction of bridges 1
0.2%
Councillors 1
0.2%
Crop Failures 1
0.2%
Crop failure 5
0.8%
Crop failures 3
0.5%
Cutting to half of bursary provided by Satemwa Estate to selected pupils to secondary schools 1
0.2%
DEASESE OF CROPS 1
0.2%
DESTRUCTION OF HOUSES BY HEAVY 1
0.2%
DEVALUATION OF KWACHA 2
0.3%
DISEASES OF BANANAS 1
0.2%
DROUGHT 8
1.2%
DRUGS ARE FOUND IN HOSPITAL 1
0.2%
Deforestation 1
0.2%
Dieases 1
0.2%
Disease 1
0.2%
Disease Epidemic 2
0.3%
Diseases 7
1.1%
Disisi 1
0.2%
Distribution of Mosquito nets 1
0.2%
Drought 17
2.6%
Droughts 2
0.3%
ELECTRICITY 1
0.2%
ESCOm black out 1
0.2%
Electricity in the area Escom 1
0.2%
Electricity in the village 1
0.2%
Eratic rains 1
0.2%
Errat rainfall 1
0.2%
Establishments of Village Banking 1
0.2%
Events that made people better off 97
14.8%
Events that made people worse off 97
14.8%
Expensive farm inputs 1
0.2%
Expensive of food and goods 2
0.3%
Expensive of food and other things 1
0.2%
Expensive of food and others 1
0.2%
Expensive of goods and food 2
0.3%
Expensive of things 2
0.3%
Extension of Hospital Blocks 1
0.2%
FLOODS 8
1.2%
Farm inputs too expensive 1
0.2%
Farming 1
0.2%
Fertilizer 1
0.2%
Floods 10
1.5%
Food 1
0.2%
Free seed & foodsupplies 1
0.2%
Grid Electricity 1
0.2%
Groundnuts/soya production 1
0.2%
HEAVY RAINFALL 1
0.2%
HEAVY RAINS 1
0.2%
HEFER 1
0.2%
HIGH COST OF GÃ’ODS 1
0.2%
HIGH PRICE RATE 2
0.3%
HIGH PRICES OF COMMODITIES 1
0.2%
HIGH PRICES OF FOOD 1
0.2%
HIGH PRICES OF GOOD 1
0.2%
HOUSE FOR SCHOOL TEACHER 1
0.2%
HUMAN DISEASES 1
0.2%
HUNGER 2
0.3%
Healthy Staff's House 1
0.2%
Heavy rains 1
0.2%
High price rate 1
0.2%
House's moved 1
0.2%
House's demolishem 1
0.2%
Houses for teachers built in 2013 by the Estate Management 1
0.2%
Human epidemic diseases 1
0.2%
Hunger 4
0.6%
Hunger, drought, no real market to sell farm produce, too expensive farm inputs, no water for consumption 1
0.2%
INADEQUATE SCHOOL STAFF HOUSES 1
0.2%
INTRODUCTION OF BOREHOLES 1
0.2%
INTRODUCTION OF ELECTRICITY 1
0.2%
Introduction of Mery meals at their school 1
0.2%
Introduction of community day secondary school in the community 1
0.2%
Introduction of vocational training centre 1
0.2%
Iron sheets and cement provided to some people 1
0.2%
Job opportunity 1
0.2%
KUKOKOLOKA KWA MINDA 1
0.2%
LDF project 1
0.2%
LOSS OF JOBS 1
0.2%
Lack of coupon inputs in markets 1
0.2%
Lack of employ ment 1
0.2%
Lack of sufficient fish in the lake 1
0.2%
Late rainfal 1
0.2%
Leadership 1
0.2%
Livestock Disease 2
0.3%
Livestock rearing 1
0.2%
Long distance to health facilities 1
0.2%
Loss of Businesses 1
0.2%
Loss of key social services 2
0.3%
Loss of social services 1
0.2%
Low farm produce prices 1
0.2%
Low farm produce prices offered by buyers 1
0.2%
Low prices of products 1
0.2%
Lucky of social activities or services 1
0.2%
MARDEF 1
0.2%
MASAF 1
0.2%
MASAF 3 1
0.2%
MASAF PROJECT 2
0.3%
Maintanance of the school bore 1
0.2%
Maintenance of Nthambani road 1
0.2%
Maintenance of roads 1
0.2%
Maintenance of health clinic 1
0.2%
Maize donation 1
0.2%
Malaria Outbreak 1
0.2%
Malata wotsika mtengo 1
0.2%
Markets 1
0.2%
Mary meals 1
0.2%
Masaf 1
0.2%
Masaf Project 1
0.2%
Masaf project 3
0.5%
Milling maize 1
0.2%
Mosquito nets 1
0.2%
Mtukula Pakhomo 1
0.2%
NATURAL DISASTER (Drought ) 1
0.2%
NATURAL DISASTER (Heavy Rains) 1
0.2%
NEW EMPLOYMENT OPPORTUNITIES 2
0.3%
NEW EMPLOYMENT OPPOTURNITIES 1
0.2%
NEW HEALTH FACILITY 1
0.2%
NEW SCHOOL BLOCK 1
0.2%
NO ADMARC 1
0.2%
NTHANDIZI - FOOD FOR WORK 1
0.2%
Natural disaster 1
0.2%
Natural disaster floods 1
0.2%
Natural disasters 1
0.2%
New Block School 2
0.3%
New Borehole 2
0.3%
New Bridge 3
0.5%
New Community Police Unit 1
0.2%
New Health Centre Block 1
0.2%
New Imployment Opportunities 1
0.2%
New MASAF Road 1
0.2%
New Method of sending money 1
0.2%
New Road 3
0.5%
New School block 1
0.2%
New School Block 2
0.3%
New Teacher's House 1
0.2%
New Under five Clinic 1
0.2%
New Village Clinic 1
0.2%
New playgroup 1
0.2%
New school block 1
0.2%
New school block 1
0.2%
New toilets for the primary school 1
0.2%
News chool toilets 1
0.2%
No Employment 4
0.6%
No Roads 1
0.2%
No electricity and Water 1
0.2%
No hospital 1
0.2%
No medicines in hospital 1
0.2%
No money 1
0.2%
No project operating in that area 1
0.2%
No source of work 1
0.2%
ONE NEW SCHOOL BLOCK 1
0.2%
PESTS AND DESAESES 1
0.2%
POOR RAINS 1
0.2%
POOR TRANSPORT 1
0.2%
PRICE FLUCTUATION 2
0.3%
PRICE FLUCTUATION OF FOOD 1
0.2%
PRICE FLUCTUATIONS 1
0.2%
PRICE FLUCTUATIONS OF TOBACCO 1
0.2%
Plan Malawi sientation 1
0.2%
Poor crop harvest 1
0.2%
Poverty 1
0.2%
Price Fluctuations 5
0.8%
Price fluctuations 5
0.8%
Primary school 1
0.2%
Private Secondary opened in the Community 1
0.2%
Public works 1
0.2%
ROAD CONSTRUCTION 2
0.3%
Received Mosquito nets 1
0.2%
Received food aid, solar panels from Fair Trade Group 1
0.2%
Received relief food 1
0.2%
Reduction of fertilizer price 1
0.2%
Relief Money by World Food Program 1
0.2%
Rising in prices of basic needs 1
0.2%
Road mantainance 2
0.3%
Road mentainance 2
0.3%
SCARCITY OF CLEAN WATER 1
0.2%
SCHOOL BLOCK 2
0.3%
SCHOOL BOREHORE 1
0.2%
SCHOOL MENTAINANCE 1
0.2%
SCHOOL TOILETS 1
0.2%
Scarce of job in the community 1
0.2%
Scarcity of water 1
0.2%
Security breakdown 1
0.2%
Shortage of drugs in hospital 1
0.2%
Shortage of water 2
0.3%
Soil Erosion 1
0.2%
Stelling of goods in the community 1
0.2%
Subsidy fertilizer 1
0.2%
Theft 2
0.3%
Transportation after selling farm produce 1
0.2%
Under five Clinic 1
0.2%
Unity 1
0.2%
VILLAGE SAVINGS AND LOANS 1
0.2%
VOLUNTEER CLINIC 1
0.2%
Village health clinic 1
0.2%
WATER PROVISION 1
0.2%
availability of electricity 1
0.2%
borehore 1
0.2%
business enterprise 1
0.2%
climate change 1
0.2%
coming of electricity 1
0.2%
construction of bridges 1
0.2%
construction of road 1
0.2%
construction of Bolehores 1
0.2%
crop Failure 1
0.2%
crop diseases 2
0.3%
crop failure 5
0.8%
crop's Disease 2
0.3%
crops Disease 1
0.2%
devaluation of kwacha 1
0.2%
dieseases 1
0.2%
disease opidemics 1
0.2%
disease Epidemic 3
0.5%
down falls of houses 1
0.2%
drought 12
1.8%
drught 1
0.2%
employment opportunity 1
0.2%
expensive agriculture lnputs 1
0.2%
expensive of farm input 2
0.3%
fall down of houses 1
0.2%
farm input loans 1
0.2%
fertilizer subsidy 1
0.2%
floods 2
0.3%
food and phone distribution 1
0.2%
food insecurity 1
0.2%
health facility 1
0.2%
high population 1
0.2%
high price's 1
0.2%
high prices of agriculture inputs 1
0.2%
high prices of maize 1
0.2%
houses destroyed 2
0.3%
hunger 3
0.5%
introduction of new companies J & J 1
0.2%
irregular rain 1
0.2%
job opportunities 1
0.2%
lack of markets 1
0.2%
lack of social services 1
0.2%
locusts 1
0.2%
low prices of agricultural products 1
0.2%
low prices of products 1
0.2%
malaria 1
0.2%
medicine is costly 1
0.2%
natural disaster 1
0.2%
near health facility 1
0.2%
near the road 1
0.2%
new Employment opportunity 1
0.2%
new School block 1
0.2%
new block village clinic 1
0.2%
new bock school 1
0.2%
new bridge 1
0.2%
new employment 1
0.2%
new employment MASAF 1
0.2%
new school blocks 1
0.2%
no enough school blocks 1
0.2%
no market 1
0.2%
no safe drinking water 1
0.2%
poor prices offered by vendors 1
0.2%
poor rains 1
0.2%
price Fluctuations 5
0.8%
price fluctuation 2
0.3%
price fluctuations 3
0.5%
price fluctutions 1
0.2%
price fructuation 1
0.2%
price fuctuation 1
0.2%
provision of subcidy 1
0.2%
rainfall 1
0.2%
receive food, clothes from well wishers 1
0.2%
regular rains 1
0.2%
rehabilitation of road 1
0.2%
relief by World vision 1
0.2%
road mantainance 1
0.2%
roads 1
0.2%
scarcity of consumable water 1
0.2%
school feeding programs 1
0.2%
school mentainance 1
0.2%
schools 1
0.2%
subsidy programs 1
0.2%
unemployment 2
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.
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