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

Malawi, 2010 - 2016
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Reference ID
MWI_2010-2016_IHPS_v03_M
Producer(s)
National Statistical Office
Metadata
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Created on
Dec 05, 2019
Last modified
Dec 05, 2019
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Describe important events in community (Other Specify) (com_cg35a_os)

Data file: com_cg2_10

Overview

Valid: 174
Invalid: 0
Type: Discrete
Start: 12
End: 46
Width: 35
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ACCESS TO FERTILIZER 1
0.6%
ACQUIISITION OF LAND FOR BULIDING P 1
0.6%
ADEQUATE FOOD SUPPLY IN THE MARKETS 1
0.6%
AFFORESRATION 1
0.6%
AGRICULTURE INPUT SUBSIDY 1
0.6%
AN NGO HELPING ORPHAN AND ELDERS 1
0.6%
ARV IN ABUNDANCE { AVALAIBILITY } 1
0.6%
AVAILABILITY OF CLEAN GOOD WATER TO 1
0.6%
AVAILABILITY OF DRUGS IN HOSPITALS 1
0.6%
AVAILABILITY OF FOOD IN MARKETS 1
0.6%
AVAILABILITY OF FOOD IN PRODUCE AND 1
0.6%
AVAILABILITY OF FOOD MAIZE IN MKT. 1
0.6%
AVAILABILITY OF MOSQUITO NETS FOR P 1
0.6%
AVAILABILITY OF STAPLE FOOD DUE TO 1
0.6%
AVAILABILITY OF STAPLE FOODS IN COM 1
0.6%
AVILABILITY OF INPUTS 1
0.6%
BOREHOLE 1
0.6%
BRIDGE CONSTRUCTED 1
0.6%
BRIDGE CONTRUCTION (SELF HELP) CHIS 1
0.6%
BUSSINESS OPPORTUNITIES ARE HARDER 1
0.6%
CHOLERA OCCURENCE EVERY YEAR 1
0.6%
CIVIC EDUCATION BY ADVISORS 1
0.6%
CLEAN WATER SCARCITY (THREE BOREHOL 1
0.6%
COMPOST MANURE MAKING 1
0.6%
CONSTRUCTION OF STAFF HOUSES(2 HOUS 1
0.6%
CONSTRUCTION OF TEN BOREHOLES (SINK 1
0.6%
COUPON 1
0.6%
COUPON DISTRIBUTION {POOR} 1
0.6%
COUPON FERTILIZER 1
0.6%
COUPONS 1
0.6%
COUPONS (ENOUGH DELIVERY) 1
0.6%
COUPONS(FOR FERTILIZER) 1
0.6%
DECREASE IN PRICES OF FERTILIZER 1
0.6%
DIFFICULT TO GET LOANS FOR BUSINESS 1
0.6%
DISCONTINUATION OF SUBSIDIES TO COM 1
0.6%
DISEASES HIV AIDS 1
0.6%
DOWNFALL OF BUSSINESSES 1
0.6%
DRY SPELL 1
0.6%
EARTH QUEAKE 1
0.6%
EARTHQUAKE 1
0.6%
ELECTRICITY AND WATER FAILING TO SA 1
0.6%
ELECTRICITY CONNECTION HAS IMPROVED 1
0.6%
EMPLOYMENT SCARCE 1
0.6%
ENOUGH FOOD BECAUSE OF FREE FERTILI 1
0.6%
ERATIC RAINFALL 1
0.6%
FAILURE BY GOVT.TO PROVIDE SUBSIDIZ 1
0.6%
FAILURE BY POLICE TO SEND STAFF IN 1
0.6%
FARMING 2
1.1%
FARMING METHODS(SASAKAWA) 1
0.6%
FERTILIZER AND FOOD SUBSIDY 1
0.6%
FERTILIZER SUBSIDY 1
0.6%
FERTILIZER SUBSIDY PROGRAMMES 1
0.6%
FOOD AGRICULTURAL ORGANISATION (SUP 1
0.6%
FOOD IMPROVEMENT DIVERSIFICATION PR 1
0.6%
FOOD MORE AFFORDABLE AND AVAILABLE 1
0.6%
FREEDOM OF EDUCATION REGARDLESS OF 1
0.6%
FREEDOM OF EXPRESSION IN PUBLIC 1
0.6%
GOOD HARVEST 1
0.6%
GOOD RAINS WHICH MAKE PEOPLE TO HAV 1
0.6%
GOOD TOBACCO PRICES 1
0.6%
GOVERNMENT DOESN'T RECOGNISE THEM 1
0.6%
HAIL STORM 1
0.6%
HAIR STORM 1
0.6%
HAVE ENOUGH LAND TO CULTIVATE 1
0.6%
IMPROVED TRANSPORTATION 2
1.1%
IMPROVED WATER FACILITIES BY WATER 1
0.6%
IMPROVEMENT OF SECURITY 1
0.6%
IMPROVEMENT OF SECURITY IN THE AREA 1
0.6%
IN PRIVATE SCHOOL 1
0.6%
IN MOST CASES THE RAINS START ERRAT 1
0.6%
INTRODUCTION FARM SUBSIDY PROGRAM 1
0.6%
INTRODUCTION MODERN AGRICURTURAL ME 1
0.6%
INTRODUCTION OF A DAILY MARKET CLOS 1
0.6%
INTRODUCTION OF CBO'S 1
0.6%
INTRODUCTION OF CIRCLE PROJECT FOR 1
0.6%
INTRODUCTION OF COUPON 1
0.6%
INTRODUCTION OF COUPON FERTILISER 1
0.6%
INTRODUCTION OF COUPONS 1
0.6%
INTRODUCTION OF FARM INPUT SUBSIDY 1
0.6%
INTRODUCTION OF FARM INPUTS SUBSIDY 2
1.1%
INTRODUCTION OF POLICE VICTIM UNIT 1
0.6%
INTRODUCTION OF SCHOOL FEEDING PROG 2
1.1%
IRRIGATION TRAININGS 1
0.6%
LACK OF CLEAN DRINKING WATER 1
0.6%
LACK OF CLEAN PIPED WATER 1
0.6%
LACK OF COUPONS 1
0.6%
LACK OF CREDIT OPPORTUNITIES 1
0.6%
LACK OF DRINKING CLEAN WATER 1
0.6%
LACK OF DRINKING WATER 1
0.6%
LACK OF EMLOYMENT 1
0.6%
LACK OF EMPLOYMENT 3
1.7%
LACK OF EMPLOYMENT IN FACTORIES DUE 1
0.6%
LACK OF FIREWOOD 1
0.6%
LACK OF GOOD INFRASTRUCTURE 1
0.6%
LACK OF GOOD ROADS 1
0.6%
LACK OF JOB OPPORTUNTIES 1
0.6%
LACK OF LOAN OPPORTUNITIES 1
0.6%
LACK OF PROTECTED WATER 1
0.6%
LACK OF REGULAR REFUSE COLLECTION B 1
0.6%
LACK OF TRANSPORTATION ACCESS -VEHI 1
0.6%
LACKY OF PROPER MARKETS FOR OTHER 1
0.6%
LACKY OF PROPER MARKETS FOR CROPS 1
0.6%
LACKY OF PROPER MARKETS FOR G/NUTS, 1
0.6%
LOW PRICES OF FARM PRODUCE OFFERED 1
0.6%
LOW WAGES OF LESS THAN K3000 PER MO 1
0.6%
MAIZE MILL 1
0.6%
MAJORITY SCHOOL LEAVERS UNEMPLOYED 1
0.6%
MARKET 1
0.6%
MISUNDERSTANDING OF DEMOCRACY 1
0.6%
MONEY CIRCULATION IS DIFFICULT IN T 1
0.6%
MP NOT ASSISTING THE AREA IN ANY FO 1
0.6%
NEW FARMING METHODS 1
0.6%
NEW MAIZE MILL 1
0.6%
NO FOOD FOR WORK AND MASAF PROJECTS 1
0.6%
NO GRINDING MILLS ()WOMEN TRVEL OVE 1
0.6%
NO THEFT 1
0.6%
OUTBREAK OF OF CHIKUKU 1
0.6%
PEOPLE HARVEST ALOT OF MAIZE 1
0.6%
PEOPLE HAVE NO SAY ON PRICE OF CROP 1
0.6%
POOR CREDIT OPPORTUNITIES 1
0.6%
POOR FEEDER ROADS 1
0.6%
POOR PRICES OF PRODUCE AT THE MARKE 1
0.6%
POOR ROAD NETWORK 1
0.6%
POOR ROADS 1
0.6%
PROBLEM TO GET MONEY 1
0.6%
PROVISION OF SOLAR PANEL AT SUBSIDI 1
0.6%
RAIN DISTRIBUTION IS GOOD FOR MAIZE 1
0.6%
REDIUICED CASES OF CRIMES (THEFT AN 1
0.6%
REDUCED CASES OF ROBBERY 1
0.6%
REDUCED NO. OF AGRI. COUPON INPUT B 1
0.6%
REDUCTIOM OF PRICESOF FERTILIZER 1
0.6%
REDUCTION OF CRIMMINAL CAES OF COMM 1
0.6%
REDUCTION OF FARM INPUTS 1
0.6%
REDUCTION OF FERTILIZER PRICES 1
0.6%
ROAD FROM NAMIWAWA TO LIKHUBULA VER 1
0.6%
ROAD MAINTAINANCE 1
0.6%
ROBBERY CASES 1
0.6%
ROBBERY INCREASE IN BUSINESS SHOPS 1
0.6%
SASAKAWA METHOD OF PLANTING CROPS 1
0.6%
SCARCITY OF MONEY 1
0.6%
SCHOOL FEEDING 1
0.6%
SCHOOL FEEDING PROGRAMME IN PRIMARY 1
0.6%
SECURITY (SAFETY) 1
0.6%
SECURITY HAS IMPROVED TREMENDOUSLY 1
0.6%
SECURITY STRENGTHENED 1
0.6%
SHORTAGE OF COUPONS 1
0.6%
SMALL BUSINESS 2
1.1%
SMALL SCALE BUSINESS 1
0.6%
SO MANY MEDICAL OFFICERS INTRODUCED 1
0.6%
SPATE OF ROBERY 1
0.6%
SUBSIDY PROGAMME 1
0.6%
SUBSIDY PROGRAMME { INPUTS } 1
0.6%
SUFFICIENT FOOD MAIZE AT COMMUNITY 1
0.6%
TAILORING 1
0.6%
TEACHERS HOUSE 1
0.6%
TEACHERS HOUSES,OFFICES AND WATER A 1
0.6%
THEFT 2
1.1%
THEFT OF LIVESTOCK 1
0.6%
THEFT REDUCED CONSIDERABLY IN THE C 1
0.6%
TRADO PUMPS DISTRIBUTION 1
0.6%
VERY POOR ROAD CONDITIONS (MAKWASA- 1
0.6%
WARD(HOSPITAL) 1
0.6%
WATER AT MOST TIMES NOT RUNNING 1
0.6%
WATER PROBLEM 1
0.6%
WATER SHORTAGES DURING CERTAIN TIME 1
0.6%
WHIRLWIND BLOWING 1
0.6%
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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