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    Home / Central Data Catalog / MWI_2010-2016_IHPS_V03_M / variable [F205]
central

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
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
300911
Downloads
2332
  • Study Description
  • Data Dictionary
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  • Data files
  • HouseholdGeovariables_IHS3_Rerelease_10
  • PlotGeovariables_IHS3_Rerelease_10
  • hh_mod_a_filt_10
  • hh_mod_b_10
  • hh_mod_c_10
  • hh_mod_d_10
  • hh_mod_e_10
  • hh_mod_f_10
  • hh_mod_g1_10
  • hh_mod_g2_10
  • hh_mod_g3_10
  • hh_mod_h_10
  • hh_mod_i1_10
  • hh_mod_i2_10
  • hh_mod_j_10
  • hh_mod_k_10
  • hh_mod_l_10
  • hh_mod_m_10
  • hh_mod_n1_10
  • hh_mod_n2_10
  • hh_mod_o_10
  • hh_mod_p_10
  • hh_mod_q_10
  • hh_mod_r_10
  • hh_mod_s1_10
  • hh_mod_s2_10
  • hh_mod_t_10
  • hh_mod_u_10
  • hh_mod_v_10
  • hh_mod_w_10
  • hh_mod_x_10
  • ag_mod_a_filt_10
  • ag_mod_b_10
  • ag_mod_c_10
  • ag_mod_d_10
  • ag_mod_e_10
  • ag_mod_f_10
  • ag_mod_g_10
  • ag_mod_h_10
  • ag_mod_i_10
  • ag_mod_j_10
  • ag_mod_k_10
  • ag_mod_l_10
  • ag_mod_m_10
  • ag_mod_n_10
  • ag_mod_o_10
  • ag_mod_p_10
  • ag_mod_q_10
  • ag_mod_r1_10
  • ag_mod_r2_10
  • ag_mod_s_10
  • ag_mod_t1_10
  • ag_mod_t2_10
  • ag_network_10
  • fs_mod_b_filt_10
  • fs_mod_c_10
  • fs_mod_d1_10
  • fs_mod_d2_10
  • fs_mod_d3_10
  • fs_mod_e1_10
  • fs_mod_e2_10
  • fs_mod_f1_10
  • fs_mod_f2_10
  • fs_mod_g_10
  • fs_mod_h1_10
  • fs_mod_h2_10
  • fs_mod_h3_10
  • fs_mod_i1_10
  • fs_mod_i2_10
  • fs_mod_j1_10
  • fs_mod_j2_10
  • com_ca_10
  • com_cb_10
  • com_cc_10
  • com_cd_10
  • com_ce_10
  • com_cf_10
  • com_cg1_10
  • com_cg2_10
  • com_ch_10
  • com_ci_10
  • com_cj_10
  • com_ck_10
  • HouseholdGeovariables_IHPS_13
  • PlotGeovariables_IHPS_13
  • hh_meta_13
  • hh_mod_a_filt_13
  • hh_mod_b_13
  • hh_mod_c_13
  • hh_mod_d_13
  • hh_mod_e_13
  • hh_mod_f_13
  • hh_mod_g1_13
  • hh_mod_g2_13
  • hh_mod_g3_13
  • hh_mod_h_13
  • hh_mod_i1_13
  • hh_mod_i2_13
  • hh_mod_j_13
  • hh_mod_k_13
  • hh_mod_l_13
  • hh_mod_m_13
  • hh_mod_n1_13
  • hh_mod_n2_13
  • hh_mod_o_13
  • hh_mod_p_13
  • hh_mod_q_13
  • hh_mod_r_13
  • hh_mod_s1_13
  • hh_mod_s2_13
  • hh_mod_t_13
  • hh_mod_u_13
  • hh_mod_v_13
  • hh_mod_x_13
  • ag_meta_13
  • ag_mod_b1_13
  • ag_mod_ba_13
  • ag_mod_bb_13
  • ag_mod_c_13
  • ag_mod_d_13
  • ag_mod_e1_13
  • ag_mod_e2_13
  • ag_mod_e3_13
  • ag_mod_e4_13
  • ag_mod_e5_13
  • ag_mod_f_13
  • ag_mod_g_13
  • ag_mod_h_13
  • ag_mod_i_13
  • ag_mod_i1_13
  • ag_mod_j_13
  • ag_mod_k_13
  • ag_mod_l_13
  • ag_mod_m_13
  • ag_mod_n_13
  • ag_mod_nr_13
  • ag_mod_o_13
  • ag_mod_o1_13
  • ag_mod_o2_13
  • ag_mod_p_13
  • ag_mod_q_13
  • ag_mod_r1_13
  • ag_mod_r2_13
  • ag_mod_s_13
  • ag_mod_t1_13
  • ag_mod_t2_13
  • ag_mod_u1_13
  • ag_mod_u2_13
  • ag_mod_u3_13
  • ag_mod_u4_13
  • fs_meta_13
  • fs_mod_a_13
  • fs_mod_b_13
  • fs_mod_c_13
  • fs_mod_d1_13
  • fs_mod_d2_13
  • fs_mod_d3_13
  • fs_mod_d4_13
  • fs_mod_e1_13
  • fs_mod_e2_13
  • fs_mod_f1_13
  • fs_mod_f2_13
  • fs_mod_g_13
  • fs_mod_h1_13
  • fs_mod_h2_13
  • fs_mod_h3_13
  • fs_mod_h4_13
  • fs_mod_i1_13
  • fs_mod_i2_13
  • fs_mod_j1_13
  • fs_mod_j2_13
  • com_meta_13
  • com_mod_a_13
  • com_mod_b_13
  • com_mod_c_13
  • com_mod_d_13
  • com_mod_e_13
  • com_mod_f1_13
  • com_mod_f2_13
  • com_mod_g_13
  • com_mod_h_13
  • com_mod_i_13
  • com_mod_j_13
  • com_mod_k_13
  • hh_meta_16
  • hh_mod_a_filt_16
  • hh_mod_c_16
  • hh_mod_d_16
  • hh_mod_e_16
  • hh_mod_f_16
  • hh_mod_g1_16
  • hh_mod_g2_16
  • hh_mod_g3_16
  • hh_mod_h_16
  • hh_mod_i1_16
  • hh_mod_i2_16
  • hh_mod_j_16
  • hh_mod_k1_16
  • hh_mod_k2_16
  • hh_mod_l_16
  • hh_mod_m_16
  • hh_mod_n1_16
  • hh_mod_n2_16
  • hh_mod_o_16
  • hh_mod_p_16
  • hh_mod_q_16
  • hh_mod_r_16
  • hh_mod_s1_16
  • hh_mod_s2_16
  • hh_mod_t_16
  • hh_mod_u_16
  • hh_mod_v_16
  • hh_mod_w_16
  • hh_mod_x_16
  • IHPS2016MemberDatabase_16
  • ag_meta_16
  • ag_mod_a_16
  • ag_mod_b1_16
  • ag_mod_b2_16
  • ag_mod_c_16
  • ag_mod_d_16
  • ag_mod_e1_16
  • ag_mod_e2_16
  • ag_mod_e3_16
  • ag_mod_e4_16
  • ag_mod_f_16
  • ag_mod_g_16
  • ag_mod_h_16
  • ag_mod_i_16
  • ag_mod_i1_16
  • ag_mod_i2_16
  • ag_mod_j_16
  • ag_mod_k_16
  • ag_mod_l_16
  • ag_mod_m_16
  • ag_mod_n_16
  • ag_mod_nr_16
  • ag_mod_o_16
  • ag_mod_o1_16
  • ag_mod_o2_16
  • ag_mod_p_16
  • ag_mod_q_16
  • ag_mod_r1_16
  • ag_mod_r2_16
  • ag_mod_s_16
  • ag_mod_t1_16
  • ag_mod_t2_16
  • ag_mod_u_16
  • ag_mod_v_16
  • PlotGeovariablesIHPSY3_16
  • fs_meta_16
  • fs_mod_a_16
  • fs_mod_b_16
  • fs_mod_c_16
  • fs_mod_d1_16
  • fs_mod_d2_16
  • fs_mod_d3_16
  • fs_mod_e1_16
  • fs_mod_e2_16
  • fs_mod_f1_16
  • fs_mod_f2_16
  • fs_mod_g_16
  • fs_mod_h1_16
  • fs_mod_h2_16
  • fs_mod_h3_16
  • fs_mod_i1_16
  • fs_mod_j1_16
  • fs_mod_j2_16
  • com_meta_16
  • com_ca_16
  • com_cb_16
  • com_cc_16
  • com_cd_16
  • com_ce_16
  • com_cf1_16
  • com_cf2_16
  • com_ch_16
  • com_ci_16
  • com_cj_16
  • HouseholdGeovariablesIHPSY3
  • hh_mod_b_16
  • com_mod_cg_16
  • IND_MOD_A
  • IND_MOD_B
  • IND_MOD_F
  • IND_MOD_H
  • IND_MOD_I
  • IND_MOD_J
  • IND_MOD_K
  • IND_MOD_L
  • IND_MOD_NR

What is the current main occupation of [NAME]? (hh_o10a)

Data file: hh_mod_o_16

Overview

Valid: 403
Invalid: 0
Type: Discrete
Start: 118
End: 193
Width: 76
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
" MILK PRODUCER AT MALAWI MILK ASSOCIATION " 1
0.2%
"A cleaner at Mvuu camp " 1
0.2%
"ACCOUNTANT " 1
0.2%
"ACCOUNTANT ASSISTANT " 1
0.2%
"ADMISTRATOR AT MZUZU HIGH COURT " 1
0.2%
"AGENT AT AIRTEL " 1
0.2%
"Accountant " 1
0.2%
"BICYCLE TAXI OPERATION " 1
0.2%
"BRICK LAYER " 2
0.5%
"Bar man " 1
0.2%
"Barber " 2
0.5%
"Builder " 1
0.2%
"Business man " 2
0.5%
"CARPENTRY " 1
0.2%
"CASUAL LABOURER " 3
0.7%
"CLINICAL OFFICER " 2
0.5%
"CONTRACT FARMER " 2
0.5%
"COURT CLERK " 1
0.2%
"Caring Children " 1
0.2%
"Carpenter " 1
0.2%
"Casual Labour " 1
0.2%
"Church labourer " 1
0.2%
"Cleaner " 1
0.2%
"DH GIRL " 1
0.2%
"DOMESTIC WORK " 1
0.2%
"DON'T KNOW " 1
0.2%
"DON'T KNOW " 3
0.7%
"DRIVER " 6
1.5%
"DRIVER OF A LORRY " 1
0.2%
"DRIVER OF UNIVERSAL CAMPANY " 1
0.2%
"Do not know " 1
0.2%
"Domestic " 1
0.2%
"Don't know " 1
0.2%
"Driver " 1
0.2%
"ELECTRICIAN " 1
0.2%
"Education sector Primary schools " 1
0.2%
"Electrician " 1
0.2%
"FARMING " 2
0.5%
"FARMING FOR BUSINESS " 1
0.2%
"FILLING STATION ATTENDANT " 1
0.2%
"FUEL ATTENDANT " 2
0.5%
"Farming " 2
0.5%
"GENERAL LABOURER AT A COMPANY " 1
0.2%
"GUARD AT HOTEL MASONGOLA " 1
0.2%
"Garden boy " 1
0.2%
"General Worker " 1
0.2%
"HOUSE GIRL " 1
0.2%
"HOUSE MAID " 1
0.2%
"He is a clinical officer " 1
0.2%
"He is a manager at Nchalo Illovo sugar cooperation " 1
0.2%
"He is a shopkeeper " 1
0.2%
"He is a soldier " 1
0.2%
"He is a teacher " 1
0.2%
"Head stores at Satemwa tea Factory " 1
0.2%
"Health Surveillance assistant " 1
0.2%
"House boy at a certain boss house " 1
0.2%
"House girl " 1
0.2%
"House maid " 2
0.5%
"House worker " 1
0.2%
"Household work " 1
0.2%
"Housemaid " 1
0.2%
"Human Resources Manager " 1
0.2%
"LABORATORY TECHNICIAN " 1
0.2%
"LABOURER " 2
0.5%
"LABOURER AT JTI AN AGRICULTURE COMPANY " 1
0.2%
"LABOURER AT PRESS AGRICULTURE " 1
0.2%
"Labourer at Sugar plantation " 1
0.2%
"Labourer at a Tea Estate " 1
0.2%
"Live in servant " 1
0.2%
"MAIZE MILL ATTENDANT " 1
0.2%
"MECHANIC " 1
0.2%
"MECHANICAL " 2
0.5%
"MINISTRY OF AGRICULTURE IN ANIMAL DEPARTMENT " 1
0.2%
"Machine Operator " 1
0.2%
"Madrassa Teacher " 1
0.2%
"Mechanic " 1
0.2%
"Mechanical " 2
0.5%
"Motor Vehicle Mechanic " 1
0.2%
"NURSE " 1
0.2%
"NURSERY SCHOOL TEACHER " 1
0.2%
"OPERATES A GROCERY " 1
0.2%
"PETRO ATTENDANT " 1
0.2%
"PLUMBING AND CONSTRUCTION " 1
0.2%
"POLICE MAN " 1
0.2%
"PRIMARY SCHOOL TEACHER " 4
1%
"PRIMARY TEACHER " 4
1%
"PRIMARY TEACHER AT A GOVERNMENT SCHOOL " 1
0.2%
"Petrol Attendant " 1
0.2%
"Primary school teacher " 1
0.2%
"Primary School Teacher " 1
0.2%
"Primary Teacher " 1
0.2%
"Primary school teacher " 4
1%
"Primary teacher " 2
0.5%
"Prison order " 1
0.2%
"RECEPTIONIST AT HOPE PRIVATE CLINIC " 1
0.2%
"Registered Nurse at a Private Hospital " 1
0.2%
"SALE'S CLERK " 1
0.2%
"SALES CLERK " 1
0.2%
"SALES MANAGER " 1
0.2%
"SECONDARY SCHOOL TEACHER " 1
0.2%
"SECRETARY " 3
0.7%
"SECURITY AGENT AT AMERICAN EMBASSY " 1
0.2%
"SELLS WOMAN " 1
0.2%
"SHOP ATTENDANT " 4
1%
"SOLDER OF MALAWI ARMY " 1
0.2%
"SOLDIER " 1
0.2%
"SUPERVISOR AT OPPORTUNITY BANK " 1
0.2%
"Sales clerk " 1
0.2%
"Salesman " 1
0.2%
"Saloonist " 1
0.2%
"Secondary School Teacher " 1
0.2%
"Secondary Teacher " 1
0.2%
"Secondly teacher government School " 1
0.2%
"Secretary " 2
0.5%
"Security Guard " 1
0.2%
"Security guard " 1
0.2%
"Selecting Tobacco " 1
0.2%
"Selling African beer " 1
0.2%
"She is a clerk " 1
0.2%
"She is a nurse " 2
0.5%
"Shop Keeper " 1
0.2%
"Shop keeper " 4
1%
"Shopkeeper at certain Asian Shop " 1
0.2%
"Soldier " 1
0.2%
"TAILORING " 1
0.2%
"TEACHER " 1
0.2%
"TEACHER AT A GOVERNMENT PRIMARY SCHOOL " 1
0.2%
"TEACHER AT JENDA FULL PRIMARY SCHOOL " 1
0.2%
"TEACHER AT KALULUMA FULL PRIMARY SCHOOL " 1
0.2%
"TEACHER AT KOLOWIRO PRIMARY SCHOOL " 1
0.2%
"TEACHER AT NTCHEU CDSS " 1
0.2%
"TEACHES WOMEN IN VILLAGE BANKS " 1
0.2%
"TEACHING AT IPIYANA FULL PRIMARY SCHOOL " 1
0.2%
"TENANT " 1
0.2%
"TIN MAKER " 1
0.2%
"TRUCK DRIVER " 1
0.2%
"Tailoring " 2
0.5%
"Teacher Madise Primary " 1
0.2%
"Teaching " 1
0.2%
"Tellor " 1
0.2%
"Tobacco assistant " 2
0.5%
"Tobacco estate " 1
0.2%
"Transporter " 2
0.5%
"Truck driver " 1
0.2%
"Volunteer teacher " 1
0.2%
"WELDING " 1
0.2%
"WORKING WITH JAPANESE BOREHOLE CAMPANY " 1
0.2%
"Waiter at a hotel " 1
0.2%
"Welding services " 1
0.2%
"Work in post office " 1
0.2%
"Working as a mechanic at a certain garage " 1
0.2%
"Working southern bottles " 1
0.2%
"bicycle repair " 1
0.2%
"builder " 1
0.2%
"domestic worker " 1
0.2%
"don't have any knowledge " 1
0.2%
"fashion designer " 1
0.2%
"ground labour " 1
0.2%
"he is a tenant ,he grows Tobacco " 1
0.2%
"house worker " 1
0.2%
"mechanical " 1
0.2%
"minibus driver " 1
0.2%
"not provided, respondent doesn't know " 1
0.2%
"police army " 1
0.2%
"primary school teacher " 2
0.5%
"primary teacher " 1
0.2%
"security guarding " 1
0.2%
"shop attendant " 1
0.2%
"shopkeeper " 2
0.5%
"teacher " 1
0.2%
"toilet attendant " 1
0.2%
"working as plumber " 1
0.2%
"working in farm Estates " 1
0.2%
"working on a Tobacco farm of a certain boss " 1
0.2%
99 1
0.2%
999 1
0.2%
A builder 1
0.2%
ART HE DRAW MANY THINGS 1
0.2%
AUDITOR 1
0.2%
Accountant at Rabs 1
0.2%
Art 1
0.2%
Auditor 1
0.2%
Auto Mechanics 1
0.2%
BRICK LAYER 1
0.2%
BRICK VENDOR 1
0.2%
BUSINESS MAN 1
0.2%
Bar Man 1
0.2%
Bricklayer(builder) 1
0.2%
Builder 2
0.5%
CARE TAKER A PRIVATE PRIMARY SCHOOL 1
0.2%
CARPENTER 1
0.2%
CLERK 1
0.2%
CLINICAL OFFER 1
0.2%
CONTRACT FARMER 2
0.5%
CONTRACTOR 1
0.2%
COOK AT PRIVATE INDIVIDUAL 1
0.2%
COW BOY 1
0.2%
Central Poutry as chicken dresser 1
0.2%
DOMESTIC WORKER 1
0.2%
DONT KNOW 1
0.2%
DRIVER 4
1%
DRIVER AT ZAMBIA ELECTRICITY COOPORATION 1
0.2%
Doctor 1
0.2%
Driver 1
0.2%
ELECTRICIAN 1
0.2%
Education Planner 1
0.2%
FIELD SUPERVISOR 1
0.2%
FOLLOW MAN 1
0.2%
FUEL ATTENDANT 1
0.2%
Fishing 1
0.2%
GARDEN BOY 1
0.2%
Garden boy 1
0.2%
Garden Boy 1
0.2%
Garden boy 4
1%
Guard 1
0.2%
HOUSE MAID 1
0.2%
HOUSE MAID 1
0.2%
HSA 2
0.5%
HUMAN RESOURCES OFFICERS AT A MISSION HOSPITAL 1
0.2%
He is a businessman. Buys tobacco from farmers and seles it to auction floor 1
0.2%
He is a fuel attendant 1
0.2%
Health Survelance Officer 1
0.2%
House boy 2
0.5%
House cook 1
0.2%
House work 1
0.2%
Houseboy 1
0.2%
LABOUR 1
0.2%
LABOURER IN A MAIZE MILL 1
0.2%
MECHANIC 2
0.5%
Minibus Driver 1
0.2%
Minibus driver 1
0.2%
NURSE 1
0.2%
Nurse 1
0.2%
OFFICE ASSISTANCE 2
0.5%
PILICE MAN 1
0.2%
POLICE CONSTABLE 2
0.5%
PRIMARY SCHOOL TEACHER 1
0.2%
PROCUREMENT OFFICER 1
0.2%
Panter 1
0.2%
Policeman 1
0.2%
Primary Teacher 1
0.2%
Primary school Teacher 1
0.2%
Primary school teacher 1
0.2%
Production officer 1
0.2%
QUANTITY SURVIER 1
0.2%
SALESMAN 1
0.2%
SALOON ATTENDANT 1
0.2%
SECONDARY SCHOOL TEACHER 1
0.2%
SECRETARY AT JTI 1
0.2%
SHOP ATTENDANT 2
0.5%
SHOP KEEPER 2
0.5%
SOLDER OF MALAWI ARMY 1
0.2%
Secondary teacher 1
0.2%
Secretariate 1
0.2%
Secretary 1
0.2%
Security Guard 1
0.2%
Security guard 1
0.2%
Security officer 1
0.2%
She worked as cooker 1
0.2%
Shop attendant 1
0.2%
TEACHER 2
0.5%
TEACHER AT MACHERENI PRIMARY SCHOOL 1
0.2%
TEACHING IN A MADRAS AS CHEIHE 1
0.2%
TEACHING MADRAS AS ACHEIHE 1
0.2%
TIN MAKER AT A PRIVATE COMPANY 1
0.2%
TRANSPORTER 1
0.2%
Tax collector 1
0.2%
Tecnician 1
0.2%
Tellor 1
0.2%
Tenant 1
0.2%
Ternant 1
0.2%
They do not know 1
0.2%
Tobacco Farmer 2
0.5%
Truck driver 1
0.2%
WAITER 3
0.7%
WATCHMAMAN PRIVATE HOUSE 1
0.2%
WATCHMAN AT LYPLAY 1
0.2%
WORK AT SHAYONA COMPANY AS STONE BREAKER 1
0.2%
WORKING AS A TENANT 1
0.2%
Waiter 2
0.5%
Work as a Mechanic ( motor) 1
0.2%
Work as a farmer at Kachere Farm 1
0.2%
Working as tenant 1
0.2%
Working at the farm 1
0.2%
Works as a Tairol 1
0.2%
a seasonal work as a labour at kanengo tobacco companies 1
0.2%
builder 3
0.7%
casual labour 1
0.2%
clerk 1
0.2%
does not know 1
0.2%
doesn't know 4
1%
don't know 1
0.2%
electronician 1
0.2%
employed in tobbaco farm 1
0.2%
fuel attendant 1
0.2%
fuel attendant at a filling station 1
0.2%
garden boy 4
1%
goods dispatcher 1
0.2%
hotel waiter 1
0.2%
house boy 1
0.2%
house helper 1
0.2%
illovo sugar estate 1
0.2%
machanical 1
0.2%
manager at ECO bank 1
0.2%
mechanic 2
0.5%
minbus driver 1
0.2%
not knwon by parents 1
0.2%
police man 1
0.2%
primary school teacher 1
0.2%
primary teacher 1
0.2%
production manager at O.G 1
0.2%
sales clerk 1
0.2%
security guard 1
0.2%
she is a sales man 1
0.2%
shelf 1
0.2%
shop keeper 3
0.7%
shopkeeper 1
0.2%
tailor 4
1%
teacher at TTC 1
0.2%
teacher primary school 1
0.2%
tobacco ternant 1
0.2%
working at Illovo sugar estate 1
0.2%
working at azam company as alabourer 1
0.2%
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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