The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • Collections
  • Citations
  • Terms of use
  • About
  • Login
    Login
    Home / Central Data Catalog / LSMS / MWI_2010-2016_IHPS_V03_M / variable [F130]
lsms

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

Malawi, 2010 - 2016
Get Microdata
Reference ID
MWI_2010-2016_IHPS_v03_M
DOI
https://doi.org/10.48529/r5t3-j215
Producer(s)
National Statistical Office
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 05, 2017
Last modified
Jan 30, 2020
Page views
647440
Downloads
160140
  • Study Description
  • Data Description
  • Documentation
  • 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

Garden (Munda) name (ag_i103)

Data file: ag_mod_i1_13

Overview

Valid: 429
Invalid: 0
Type: Discrete
Start: 19
End: 43
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
BANGO 1
0.2%
BEANS 24
5.6%
BELITA 1
0.2%
BINDULA 1
0.2%
CABBAGE 4
0.9%
CHIDAWATI 1
0.2%
CHIDZINJA 1
0.2%
CHILUNGA 1
0.2%
CHIMAMEZI 1
0.2%
CHIMANGA 3
0.7%
CHIMOMBO 1
0.2%
CHIMWALIRA 1
0.2%
CHIMWANKHUKU 1
0.2%
CHINESE GARDEN 1
0.2%
CHINESE RAPE 1
0.2%
CHISAWANI 1
0.2%
CHIZINJA 1
0.2%
DAM 1
0.2%
DAMBO 2
0.5%
DIMBA 38
8.9%
DINDI 1
0.2%
EGG PLANT 1
0.2%
EGG PLANTS 1
0.2%
FALLOW 6
1.4%
H MAIZE 1
0.2%
H.MAIZE 1
0.2%
H/MAIZE 1
0.2%
HYBRID 1
0.2%
HYBRID GARDEN 1
0.2%
HYBRID MAIZE 34
7.9%
HYBRID MAIZE DIMBA 1
0.2%
HYBRID RECYCLED 2
0.5%
IRISH POTATO 16
3.7%
IRISH POTATOE 1
0.2%
IRISH POTATOE DIMBA 2
0.5%
IRISH POTATOES 1
0.2%
IRISHI POTATO 1
0.2%
JAILOSI JELADI 2
0.5%
KACHENGA BEANS 2
0.5%
KADAMBO 1
0.2%
KAMADZI DAMBO 1
0.2%
KASANGADZI 2
0.5%
KATACHIRA 1
0.2%
KATHONGA 1
0.2%
KATOPE 1
0.2%
KU BRIDGE 1
0.2%
KU CHIMVU 2
0.5%
KU DAMBO 1
0.2%
KU DIMBA 1
0.2%
KU KAMWIYO 1
0.2%
KU MADZI 1
0.2%
KU MAIZE DAMS 1
0.2%
KU MCHERE 1
0.2%
KU NDAWE 1
0.2%
KU TOMATO KU DAMS 1
0.2%
KUCHANJIRI 1
0.2%
KUCHIKHALE 1
0.2%
KUCHINYAZA 1
0.2%
KUCHIPANDA 1
0.2%
KUCHITSIME 1
0.2%
KUDAMBO 14
3.3%
KUDAMU 1
0.2%
KUDIMBA 9
2.1%
KUDINDE 1
0.2%
KUHUNA 1
0.2%
KUKOMBE 1
0.2%
KUMADZI 1
0.2%
KUMAKANDE 1
0.2%
KUMAMINA 1
0.2%
KUMANAZALE 1
0.2%
KUMATIMBE 1
0.2%
KUMATOWO 2
0.5%
KUMPULA 1
0.2%
KUMTUNDA 1
0.2%
KUMUNSI 2
0.5%
KUMUSI 9
2.1%
KUNTHIPWI 1
0.2%
KUNTUNDA 2
0.5%
KUPHANJE 1
0.2%
KUPHEDI 1
0.2%
KUVITSIME 1
0.2%
KWA MLEWA 1
0.2%
KWA SELEMANI 2
0.5%
KWAKWASI 1
0.2%
KWATELA 1
0.2%
LOCAL MAIZE 8
1.9%
LUDZI 1
0.2%
MAIZE 12
2.8%
MAIZE GARDEN 1
0.2%
MAIZE PLOT 1
0.2%
MAMINA 1
0.2%
MASAMBA 3
0.7%
MATOLO 1
0.2%
MBATATA 1
0.2%
MCHERE 1
0.2%
MIYONI 1
0.2%
MKUZI 1
0.2%
MOLOKO 1
0.2%
MPILU 1
0.2%
MPIRU 5
1.2%
MSANGA 1
0.2%
MTITI 1
0.2%
MTSUKANTHANGA 2
0.5%
MUNDA WA KU MSUNDUDZI 1
0.2%
MUNDA WA KULIKHUWE 1
0.2%
MUNDA WA KWA KAMSIMMANDA 1
0.2%
MUNDA WA PA CHITSIME 1
0.2%
MUNDA WA PAKHOMO 1
0.2%
MUNDA WA THERERE 1
0.2%
MUNDA WAKU FLOTIA 1
0.2%
MUNDA WAKU MAKOMBE 1
0.2%
MUNDA WAKU MKATHA 1
0.2%
MUNDA WAKU MSUNDUDZI 1
0.2%
MUNDA WAKUMADZI 1
0.2%
MUNDA WAKUMUNSI 1
0.2%
MUNDA WAKUNAMITSITSI 1
0.2%
MUNDA WAKUTSAMVI 1
0.2%
MUNDA WAPAKHOMO 1
0.2%
MUZUMBWI 1
0.2%
MZEMBE 1
0.2%
NABANDA 1
0.2%
NACHIMANGO 1
0.2%
NACHIWALE 1
0.2%
NAKADANGWA2 1
0.2%
NAMADZI 1
0.2%
NAMCHIMBA 1
0.2%
NAMISECHE 1
0.2%
NANJALE 1
0.2%
NANJAYE 1
0.2%
NANJIRI 1
0.2%
NKHWANI 11
2.6%
NKWAKWAZI 1
0.2%
NNAMADZI 1
0.2%
NSAWAWA 1
0.2%
NSINJE 1 1
0.2%
NSINJE 2 1
0.2%
NYEMBA 1
0.2%
NYEMBA GARDERN 1
0.2%
OKRA 2
0.5%
ONION 1
0.2%
ONIONS 1
0.2%
OPV MAIZE 2
0.5%
PAKHOMO 6
1.4%
PATSIDYA 1
0.2%
PEAS DIMBA 1
0.2%
PHAKAO 1
0.2%
RAPE 3
0.7%
RAPE LOCAL 1
0.2%
RECYCLED HYBRID MAIZE 2
0.5%
RECYCLED MAIZE 1
0.2%
RICE 1
0.2%
SCHEME 1
0.2%
SUGARCANE 1
0.2%
SUGARCANE & VEGETABLES 1
0.2%
SWEET POTATO 2
0.5%
SWEET POTATOES 3
0.7%
TANAPOSI 11
2.6%
TANMAPOSI 1
0.2%
TCHESA 1
0.2%
TCHETHA 1
0.2%
TOMATO 30
7%
TOMATO & NKHWANI 1
0.2%
TOMATO DIMBA 1
0.2%
TOMATO GARDEN 1
0.2%
TOMATOE 2
0.5%
TOMATOES 6
1.4%
VEGATABLES 1
0.2%
VEGETABLE DIMBA 1
0.2%
VEGETABLE GARDENS 1
0.2%
VEGETABLES 1
0.2%
WA KUCHIGUMUKIRE 1
0.2%
WA KUDAMBO 2
0.5%
WA KUDAMBO 2 1
0.2%
WA KUSIDYA 1
0.2%
WAKU TEA 1
0.2%
WALIWALI 1
0.2%
WAPAKHOMO 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.
Back to Catalog
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.