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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / MWI_2010-2016_IHPS_V01_EN_M_V01_A_OCS / variable [F292]
agricultural-surveys

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_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 23, 2020
Last modified
Nov 08, 2022
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

K03.Other. Please Specify the OTHER purpose for seeking %rostertitle% (ind_k03Oth)

Data file: IND_MOD_K

Overview

Valid: 189
Invalid: 0
Type: Discrete
Width: 89
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
" TO ADD BUSSINES CAPITAL " 1
0.5%
".to increase business capital " 1
0.5%
"ADD TO BUSINESS " 1
0.5%
"Add capital " 1
0.5%
"BOOSTING BUSINESS " 6
3.2%
"BUSINESS " 1
0.5%
"BUSINESS START UP CAPITAL " 1
0.5%
"BUSINESS TOP UP " 4
2.1%
"BUSSNESS " 2
1.1%
"BUYING CLOTHES " 1
0.5%
"Business " 3
1.6%
"Business start up capital " 1
0.5%
"Business top up " 2
1.1%
"Bussness " 2
1.1%
"Buy furniture " 1
0.5%
"Buy goods and services to business " 1
0.5%
"CONSTRUCTION OF HOUSE " 1
0.5%
"CONSUMPTION " 3
1.6%
"Capital for business " 3
1.6%
"Comsuption " 1
0.5%
"Consumption " 1
0.5%
"DRESS " 1
0.5%
"EDUCATION EXPENSES " 1
0.5%
"FOR BUSINESS " 2
1.1%
"FOR CONSUMPTION " 1
0.5%
"For Transport " 1
0.5%
"HOSPITAL TRANSPORT " 1
0.5%
"HOUSEHOLD MAINTENANCE " 1
0.5%
"He used it for transport " 1
0.5%
"House Construction " 1
0.5%
"PAY SCHOOL FEES FOR CHILDREN " 1
0.5%
"PAY TENANTS " 1
0.5%
"PROGRESSING BUSINESS " 1
0.5%
"Pay transport " 1
0.5%
"SENT RELATIVES " 1
0.5%
"She took shoes on credit for her daughter " 1
0.5%
"TO BOOST THE BUSINESS " 1
0.5%
"TO BUY CEMENT " 1
0.5%
"TO BUY CLOTHES " 1
0.5%
"TO BUY FURNITURE " 1
0.5%
"TO BUY LAPTOP " 1
0.5%
"TO GIVE RELATIVES " 1
0.5%
"TO HELP HER MOTHER BUY IRON SHEETS " 1
0.5%
"TO PAY AGRICULTURAL LABOUR " 1
0.5%
"TO PAY FOR TRANSPORT " 1
0.5%
"TO PAY TRANSPORT " 1
0.5%
"TO PURCHASE BUILDING MATERIALS " 1
0.5%
"TO PURCHASE SEEDS " 1
0.5%
"TO START BUSINESS " 2
1.1%
"TOP UP BUSINESS " 1
0.5%
"TRANSPORT " 1
0.5%
"The money was used as fine due to adultery sin done by his daughter " 1
0.5%
"To add the money which they have to buy a phone " 1
0.5%
"To boost business " 1
0.5%
"To fund my son transport to South Africa " 1
0.5%
"To repair Bicycle " 1
0.5%
"To start a business " 1
0.5%
"USED FOR BIRTHDAY CEREMONY " 1
0.5%
"Use as transport " 1
0.5%
"Wanted to buy a door " 1
0.5%
"business capital " 1
0.5%
"business start up capital " 1
0.5%
"business top up " 3
1.6%
"busness add up capital " 1
0.5%
"buy food " 1
0.5%
"consumption " 1
0.5%
"for transport " 1
0.5%
"house maintenance " 1
0.5%
"improve business " 1
0.5%
"money for fees " 1
0.5%
"start business " 1
0.5%
"support for house construction " 1
0.5%
"to buy food " 4
2.1%
"to pay back other credits " 1
0.5%
"to start a small business " 1
0.5%
"to start business " 1
0.5%
"top up business " 1
0.5%
"top up to business. " 1
0.5%
Add up capital 1
0.5%
BUSINESS CAPITAL 1
0.5%
BUSINESS START UP CAPITAL 2
1.1%
BUSINESS TOP UP 2
1.1%
BUYING A MEMORY CARD 1
0.5%
Boosting business 1
0.5%
Bought Cosmetics 1
0.5%
Bought a skirt 1
0.5%
Business Start up 1
0.5%
Business start up 1
0.5%
Business top up 1
0.5%
Business use 1
0.5%
Buy food 1
0.5%
Buy unconsumption goods 1
0.5%
Buying Iron Sheets for building a house 1
0.5%
For Transport 1
0.5%
For topping up capital to buy Sugar cane 1
0.5%
HARVESTING 1
0.5%
KULIPILA AGANYU 1
0.5%
Legal redress 1
0.5%
Memory card 1
0.5%
PAY GANYU LABOURER 1
0.5%
PURCHASED GOODS FOR HOUSEHOLD USE 1
0.5%
Pay for an assest 1
0.5%
START BUSINESS 1
0.5%
START UP CAPITAL 1
0.5%
She took part of the money to pay school fees of her child and she used some to buy maize 1
0.5%
Start up capital though I did not start the Bussiness to my child illness 1
0.5%
TO BUY CLOTHES 1
0.5%
TO BUY DURABLE GOODS 1
0.5%
TO BUY SOAP 1
0.5%
TO BUY SOAP AND LOTION 1
0.5%
TO PAY FOR LABOURE 1
0.5%
TO SETTLE CREDIT 1
0.5%
TO START BUSINESS 3
1.6%
TO START UP BUSINESS 1
0.5%
TOOK CLOTHES ON CREDIT 1
0.5%
TRANSPORT 1
0.5%
The money was used as transport to relative who died 1
0.5%
To BUY IRON SHEETS 1
0.5%
To add up capital 1
0.5%
To build a house and add to business capital 1
0.5%
To buy food 3
1.6%
To buy tree for oven 1
0.5%
To buy trees for a house 1
0.5%
To pay for people who clear dimba 1
0.5%
To pay school fees 1
0.5%
To pay school fees for his children 1
0.5%
To repair minbus 1
0.5%
To start business 1
0.5%
To use for transport 1
0.5%
Transport 1
0.5%
WEDDING CEREMONY 1
0.5%
add in business 1
0.5%
add up capital 2
1.1%
boost business 2
1.1%
build house 1
0.5%
business capitql 1
0.5%
business start up capital 1
0.5%
buy a bag 1
0.5%
buy clothes 1
0.5%
buy food 1
0.5%
photography 1
0.5%
rent which am suppose to pay 1
0.5%
repair house 1
0.5%
repay another loan 1
0.5%
school feez 1
0.5%
service car 1
0.5%
she want to buy a batch to put on her uniform 1
0.5%
start a business 1
0.5%
take 2 piece of cloth 1
0.5%
to buy food 1
0.5%
to buy iron sheets 1
0.5%
to buy maize 2
1.1%
to pay labourers 1
0.5%
to pay the servant who built the house 1
0.5%
to start a small business 1
0.5%
used as transport when going to the village 1
0.5%
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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